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ORCIDFrontiers in Artificial Intelligence, Volume 8
Volume 8, 2025
- Julliana Caroline Goncalves de A. S. Marques, Bruno Motta de Carvalho, Luiz Affonso Guedes, Márjory Da Costa-Abreu:
Pattern recognition in SARS cases: insights from t-SNE and k-means clustering applied to COVID-19 symptomatology. - Karthik Menon, Thomas Tcheng, Cairn Seale, David Greene, Martha Morrell
, Sharanya Arcot Desai:
Reconstructing signal during brain stimulation with Stim-BERT: a self-supervised learning model trained on millions of iEEG files. - Pegah Ramezani, Achim Schilling, Patrick Krauss:
Analysis of argument structure constructions in the large language model BERT. - Ida Mohammadi, Setayesh Farahani, Asal Karimi, Saina Jahanian, Shahryar Rajai Firouzabadi, Mohammadreza Alinejadfard, Alireza Fatemi, Bardia Hajikarimloo, Mohammadhosein Akhlaghpasand:
Mortality prediction of heart transplantation using machine learning models: a systematic review and meta-analysis. - Rasita Vinay, Giovanni Spitale, Nikola Biller-Andorno, Federico Germani:
Emotional prompting amplifies disinformation generation in AI large language models. - Fawad Naseer, Abdullah Addas, Muhammad Tahir, Muhammad Nasir Khan, Noreen Sattar:
Integrating generative adversarial networks with IoT for adaptive AI-powered personalized elderly care in smart homes. - Ranan Venancio, Vítor Filipe, Adelaide Cerveira, Lio Gonçalves:
Advanced driving assistance integration in electric motorcycles: road surface classification with a focus on gravel detection using deep learning. - Bilal Abu-Salih, Marwan Al-Tawil, Ansar Khoury, Dana Al Qudah, Isra'a Abu Zaid, Marwa Alabdale, Dima Azar:
MAD-Onto: an ontology design for mobile app development. - Namdeo Baban Badhe, Rahul P. Neve, Vijaykumar P. Yele, Swati Abhang, Komal Madhukar Dhule, Darshan Mali:
An optimized system for predicting energy usage in smart grids using temporal fusion transformer and Aquila optimizer. - Yuling Bin, Rumei Peng, Yaqian Lee, Zhijie Lee, Yang Liu:
Artificial intelligence-assisted capsule endoscopy for detecting lesions in Crohn's disease: a systematic review and meta-analysis. - Ali R. Abdellah, Ahmed Abdelmoaty, Abdelhamied A. Ateya, Ahmed A. Abd El-Latif, Ammar Muthanna, Andrey Koucheryavy:
Accurate V2X traffic prediction with deep learning architectures. - Xinguo Wang, Jinbo Zhao, Yufu Li, Zhibin Li:
Optimized design and performance evaluation of long-pressure-short-extraction ventilation and dust removal system based on the Coanda effect. - Ying Huang, Xiaokan Wang, Yong Zhang, Li Chen, Hongji Zhang:
Application of human-in-the-loop hybrid augmented intelligence approach in security inspection system. - Thiago Fellipe Ortiz de Camargo, Guilherme Alberto Sousa Ribeiro, Maria Carolina Bueno da Silva, Luan Oliveira da Silva, Pedro Paulo Teixeira e Silva Torres, Denise do Socorro da Silva Rodrigues, Mayler Olombrada Nunes de Santos, William Salibe Filho, Marcela Emer Egypto Rosa, Magdala de Araújo Novaes, Thiago Augusto Massarutto, Osvaldo Landi Junior, Elaine Yanata, Marcio Rodrigues da Cunha Reis, Gilberto Szarf, Pedro Vieira Santana Netto, Joselisa Peres Queiroz de Paiva:
Clinical validation of an artificial intelligence algorithm for classifying tuberculosis and pulmonary findings in chest radiographs. - Christina Hastings Blow, Lijun Qian, Camille Gibson, Pamela Obiomon, Xishuang Dong:
Data augmentation via diffusion model to enhance AI fairness. - Faisal Binzagr, Anas Waleed Abulfaraj:
InGSA: integrating generalized self-attention in CNN for Alzheimer's disease classification. - Haruna Jallow, Ronald Waweru Mwangi, Alieu Gibba, Herbert Imboga:
Transfer learning for predicting of gross domestic product growth based on remittance inflows using RNN-LSTM hybrid model: a case study of The Gambia. - Nicola Angius, Pietro Perconti, Alessio Plebe, Alessandro Acciai:
Making sense of transformer success. - Yuanqi Chen, Aiping Wang, Ziyang Liu, Jie Yue, Enxu Zhang, Fei Li, Ning Zhang:
MoSViT: a lightweight vision transformer framework for efficient disease detection via precision attention mechanism. - Yanchen Wang, Lisa Singh:
Impact on bias mitigation algorithms to variations in inferred sensitive attribute uncertainty. - Barry Dauphin, Caleb Siefert:
From Llama to language: prompt-engineering allows general-purpose artificial intelligence to rate narratives like expert psychologists. - Illya Chaikovsky, Dmytro Dziuba, Olga Kryvova, Katerina Marushko, Julia Vakulenko, Kyrylo Malakhov, Oleg Loskutov:
Subtle changes on electrocardiogram in severe patients with COVID-19 may be predictors of treatment outcome. - Sukriti Bhattacharya, German Castignani, Leandro Masello, Barry Sheehan:
AI revolution in insurance: bridging research and reality. - Ashraf Elnashar, Jules White, Douglas C. Schmidt:
Enhancing structured data generation with GPT-4o evaluating prompt efficiency across prompt styles. - Degninou Yehadji, Geraldine Gray, Carlos Arias Vicente, Petros Isaakidis, Abdourahimi Diallo, Saa Andre Kamano, Thierno Saidou Diallo:
Development of machine learning algorithms to predict viral load suppression among HIV patients in Conakry (Guinea). - Eshetie Gizachew Addisu, Tahayu Gizachew Yirga, Hailu Gizachew Yirga, Alemu Demeke Yehuala:
Transfer learning-based hybrid VGG16-machine learning approach for heart disease detection with explainable artificial intelligence. - Arantxa M. Ortega León, Daniel Urda, Ignacio J. Turias, Simón Pedro Lubián-López, Isabel Benavente-Fernández:
Machine learning techniques for predicting neurodevelopmental impairments in premature infants: a systematic review. - Nikolaos Kondylidis, Ilaria Tiddi, Annette ten Teije:
A framework for establishing shared, task-oriented understanding in hybrid open multi-agent systems. - Zheng Cao, Helyette Geman:
A hype-adjusted probability measure for NLP stock return forecasting. - Austin A. Barr, Joshua Quan, Eddie Guo, Emre Sezgin:
Large language models generating synthetic clinical datasets: a feasibility and comparative analysis with real-world perioperative data. - Runyang Gao, Danghui Yu, Biao Gao, Heng Hua, Zhaoyang Hui, Jingquan Gao, Cha Yin:
Legal regulation of AI-assisted academic writing: challenges, frameworks, and pathways. - Naoufal Sirri, Christophe Guyeux:
Traditional vs. AI-generated meteorological risks for emergency predictions. - Che Wei Chang, Hanwei Wang, Feipei Lai, Mesakh Christian, Shih Chen Huang, Han Yi Tsai:
Comparison of 3D and 2D area measurement of acute burn wounds with LiDAR technique and deep learning model. - Renfei Liu, François Lauze, Erik J. Bekkers, Sune Darkner, Kenny Erleben:
SE(3) group convolutional neural networks and a study on group convolutions and equivariance for DWI segmentation. - Raúl Jiménez-Cruz, Cornelio Yáñez-Márquez, Miguel González-Mendoza, Yenni Villuendas-Rey, Raúl Monroy:
Spherical model for Minimalist Machine Learning paradigm in handling complex databases. - Fethi Rabhi, Amin Beheshti, Asif Gill:
Editorial: Business transformation through AI-enabled technologies. - Igor Nesteruk:
General SIR model for visible and hidden epidemic dynamics. - James Horsley:
Mind the semantic gap: semantic efficiency in human computer interfaces. - Keshav Krishna:
Advancements in cache management: a review of machine learning innovations for enhanced performance and security. - Mini Han Wang, Jiazheng Cui, Simon Ming-Yuen Lee, Zhiyuan Lin, Peijin Zeng, Xinyue Li, Haoyang Liu, Yunxiao Liu, Yang Xu, Yapeng Wang, José Lopes Camilo Da Costa Alves, Guanghui Hou, Junbin Fang, Xiangrong Yu, Kelvin Kam Lung Chong, Yi Pan:
Applied machine learning in intelligent systems: knowledge graph-enhanced ophthalmic contrastive learning with "clinical profile" prompts. - Norah Othman Abanmy, Nadia Al-Ghreimil, Jawza F. Alsabhan, Heyam H. Al-Baity, Rana Aljadeed:
Evaluating the accuracy of ChatGPT in delivering patient instructions for medications: an exploratory case study. - Sharareh Shahidi Hamedani, Sarfraz Aslam, Shervin Shahidi Hamedani:
AI in business operations: driving urban growth and societal sustainability. - Ahmeed Suliman Farhan, Muhammad Khalid, Umar Manzoor:
XAI-MRI: an ensemble dual-modality approach for 3D brain tumor segmentation using magnetic resonance imaging. - Jonathan A. Tangsrivimol, Erfan Darzidehkalani, Hafeez Ul Hassan Virk, Zhen Wang, Jan Egger, Michelle Wang, Sean Hacking, Benjamin S. Glicksberg, Markus Strauss, Chayakrit Krittanawong:
Benefits, limits, and risks of ChatGPT in medicine. - Yuriy Dyachenko, Oleksandra Humenna, Oleg Soloviov, Inna Skarga-Bandurova, Nayden Nenkov:
LLM services in the management of social communications. - Vasiliki Bikia, Dionysios Adamopoulos, Marco Roffi, Georgios Rovas, Stéphane Noble, François Mach, Nikolaos Stergiopulos:
Testing an inverse modeling approach with gradient boosting regression for stroke volume estimation using patient thermodilution data. - Muhammad Syahriandi Adhantoro, Dedi Gunawan, Harun Joko Prayitno, Rahayu Febri Riyanti, Eko Purnomo, Adi Jufriansah:
Strategic technological innovation through ChatMu: transforming information accessibility in Muhammadiyah. - Sahika Betul Yayli, Kutay Kiliç, Salih Beyaz:
Deep learning in gonarthrosis classification: a comparative study of model architectures and single vs. multi-model methods. - A. M. Mutawa, Ayshah Alrumaih:
Determining the meter of classical Arabic poetry using deep learning: a performance analysis. - Pralhad Gavali, J. Saira Banu:
A novel approach to Indian bird species identification: employing visual-acoustic fusion techniques for improved classification accuracy. - Vincent Zibi Mohale, Ibidun Christiana Obagbuwa:
A systematic review on the integration of explainable artificial intelligence in intrusion detection systems to enhancing transparency and interpretability in cybersecurity. - Yukun Tao, Jinzheng Hou, Guangxin Zhou, Da Zhang:
Artificial intelligence applied to diabetes complications: a bibliometric analysis. - Zhirui Zhou, Shuting Xiang, Qingxin Xie:
How could fit between polychronicity and multitasking shape employees' self-leadership? The moderating role of AI-empowered task processing. - Brian Travis Rice, Stacy Rasmus, Robert Onders, Timothy Thomas, Gretchen Day, Jeremy Wood, Carla Britton, Tina Hernandez-Boussard, Vanessa Hiratsuka:
Community-engaged artificial intelligence: an upstream, participatory design, development, testing, validation, use and monitoring framework for artificial intelligence and machine learning models in the Alaska Tribal Health System. - Paolo Giudici, Lunshuai Wu:
Sustainable artificial intelligence in finance: impact of ESG factors. - Maria Chiara Caschera, Patrizia Grifoni, Francesca Cordella:
Editorial: Human-centered artificial intelligence in interaction processes. - Deepshikha Shrivastava, Prerna Goswami:
Internet of things driven hybrid neuro-fuzzy deep learning building energy management system for cost and schedule optimization. - Marco Piastra, Patrizia Catellani:
On the emergent capabilities of ChatGPT 4 to estimate personality traits. - Jean-Pierre R. Falet, Steven Nobile, Aliya Szpindel, Berardino Barile, Amar Kumar, Joshua Durso-Finley, Tal Arbel, Douglas L. Arnold:
The role of AI for MRI-analysis in multiple sclerosis - A brief overview. - Yingjian Yang, Jie Zheng, Peng Guo, Qi Gao, Yingwei Guo, Ziran Chen, Chengcheng Liu, Tianqi Wu, Zhanglei Ouyang, Huai Chen, Yan Kang:
Three-stage registration pipeline for dynamic lung field of chest X-ray images based on convolutional neural networks. - Jean-Christophe Bélisle-Pipon:
AI, universal basic income, and power: symbolic violence in the tech elite's narrative. - Haruna Jallow, Alieu Gibba, Ronald Waweru Mwangi, Herbert Imboga:
GDP prediction of The Gambia using generative adversarial networks. - Isabella Saccardi, Judith Masthoff:
Adapting emotional support in teams: productivity, emotional stability, and conscientiousness. - Maham Nayab, Asim Waris, Muhammad Jawad Khan, Dokhyl Alqahtani, Ahmed Imran, Syed Omer Gilani, Umer Hameed Shah:
Gaussian process latent variable models-ANN based method for automatic features selection and dimensionality reduction for control of EMG-driven systems. - Maede Ashofteh Barabadi, Xiaodan Zhu, Wai-Yip Chan, Amber L. Simpson, Richard K. G. Do:
Targeted generative data augmentation for automatic metastases detection from free-text radiology reports. - M. Balamurugan, Kamala Narayanan, N. Raghu, G. B. Arjun Kumar, V. N. Trupti:
Role of artificial intelligence in smart grid - a mini review. - Martin Berki, Vanesa Andicsova, Milos Oravec:
NLP-enhanced inflation measurement using BERT and web scraping. - Mahdi Maktabdar Oghaz, Lakshmi Babu Saheer, Kshipra Dhame, Gayathri Singaram:
Detection and classification of ChatGPT-generated content using deep transformer models. - Zhao Jinbo, Li Yufu, Mo Haitao:
Handling missing data of using the XGBoost-based multiple imputation by chained equations regression method. - Laura González-Flores, Jessica Rubiano-Moreno, Guillermo Sosa-Gómez:
The relevance of lead prioritization: a B2B lead scoring model based on machine learning. - Vahan Babushkin, Haneen Alsuradi, Muhamed Osman Al-Khalil, Mohamad A. Eid:
Analyzing handwriting legibility through hand kinematics. - Saurav Verma, Ashwini Rao:
A short report on deep learning synergy for decentralized smart grid cybersecurity. - Dongyu Liu, Cora Ames, Shameer Khader, Franck Rapaport:
SciLinker: a large-scale text mining framework for mapping associations among biological entities. - Raghavendra S., S. K. Abhilash, Venu Madhav Nookala, Jayashree Shetty, Praveen Gurunath Bharathi:
MPAR-RCNN: a multi-task network for multiple person detection with attribute recognition. - Mini Han Wang, Xudong Jiang, Peijin Zeng, Xinyue Li, Kelvin Kam Lung Chong, Guanghui Hou, Xiaoxiao Fang, Yang Yu, Xiangrong Yu, Junbin Fang, Yi Pan:
Balancing accuracy and user satisfaction: the role of prompt engineering in AI-driven healthcare solutions. - Deborah M. Li, Shruti Parikh, Ana Costa:
A critical look into artificial intelligence and healthcare disparities. - Najla M. Aljehani, Fatima E. Al Nawees:
The current state, challenges, and future directions of artificial intelligence in healthcare in Saudi Arabia: systematic review. - Roberto Balestri:
Gender and content bias in Large Language Models: a case study on Google Gemini 2.0 Flash Experimental. - Norhan Khallaf, Osama Abd-El Rouf, Abeer D. Algarni, Mohy Hadhoud, Ahmed Kafafy:
Enhanced vehicle routing for medical waste management via hybrid deep reinforcement learning and optimization algorithms. - Niklas Bussmann, Paolo Giudici, Alessandra Tanda, Ellen Pei-Yi Yu:
Explainable machine learning to predict the cost of capital. - Denise E. Hilling, Imane Ihaddouchen, Stefan Buijsman, Reggie Townsend, Diederik Gommers, Michel E. van Genderen:
The imperative of diversity and equity for the adoption of responsible AI in healthcare. - Eduardo Cisternas Jiménez, Fang-Fang Yin:
Adaptive Neuro-Fuzzy Inference System guided objective function parameter optimization for inverse treatment planning. - Vasavi Sanikommu, Sai Pravallika Marripudi, Harini Reddy Yekkanti, Revanth Divi, R. Chandrakanth, P. Mahindra:
Edge computing for detection of ship and ship port from remote sensing images using YOLO. - Wenwen Cheng, Chen Yu, Xiaohui Liu:
Construction of a prediction and visualization system for cognitive impairment in elderly COPD patients based on self-assigning feature weights and residual evolution model. - Heather A. Noriega, Qizhao Wang, Daozhan Yu, Xiang Simon Wang:
Structural studies of Parvoviridae capsid assembly and evolution: implications for novel AAV vector design. - Gabriel Vargas-Monroy, Daissi-Bibiana Gonzalez-Roldan, Carlos Enrique Montenegro-Marín, Alejandro-Paolo Daza-Corredor, Daniel-David Leal-Lara:
Code generation system based on MDA and convolutional neural networks. - Anna Visibelli, Rebecca Finetti, Bianca Roncaglia, Paolo Poli, Ottavia Spiga, Annalisa Santucci:
Predicting therapy dropout in chronic pain management: a machine learning approach to cannabis treatment. - Jessica D. Workum, Davy van de Sande, Diederik Gommers, Michel E. van Genderen:
Bridging the gap: a practical step-by-step approach to warrant safe implementation of large language models in healthcare. - Othman A. Alrusaini:
Deep learning for steganalysis: evaluating model robustness against image transformations. - Boxiong Wei, Xiumei Zhang, Yuhong Shao, Xiuming Sun, Luzeng Chen:
Comparison of the accuracy of GPT-4 and resident physicians in differentiating benign and malignant thyroid nodules. - Chunyi Yan, Zexi Li, Yongzhou Liang, Shuran Shao, Fan Ma, Nanjun Zhang, Bowen Li, Chuan Wang, Kaiyu Zhou:
Assessing large language models as assistive tools in medical consultations for Kawasaki disease. - Kevin Godin-Dubois, Karine Miras, Anna V. Kononova:
AMaze: an intuitive benchmark generator for fast prototyping of generalizable agents. - Lesia I. Mochurad:
Approach for enhancing the accuracy of semantic segmentation of chest X-ray images by edge detection and deep learning integration. - A. R. S. Silva, Y. H. P. P. Priyadarshana:
Ontology-based prompt tuning for news article summarization. - Alexandros Bousdekis, Mina Foosherian, Mattheos Fikardos, Stefan Wellsandt, Katerina Lepenioti, Enrica Bosani, Gregoris Mentzas, Klaus-Dieter Thoben:
Augmented intelligence with voice assistance and automated machine learning in Industry 5.0. - Andrei V. Konstantinov, Boris V. Kozlov, Stanislav Kirpichenko, Lev V. Utkin, Vladimir Muliukha:
Dual feature-based and example-based explanation methods. - Hsin-Yueh Liang, Kai-Cheng Hsu, Shang-Yu Chien, Chen-Yu Yeh, Ting-Hsuan Sun, Meng-Hsuan Liu, Kee Koon Ng:
Deep learning analysis of exercise stress electrocardiography for identification of significant coronary artery disease. - Sepehr Ghazinoory, Fatemeh Parvin, Fatemeh Saghafi, Masoud Afshari-Mofrad, Nafiseh Ghazavi, Mehdi Fatemi:
Metaverse technology tree: a holistic view. - Shih-Fang Chang, Po-Yi Wu, Ming-Chang Tsai, Vincent S. Tseng, Chi-Chih Wang:
AI-assisted anatomical structure recognition and segmentation via mamba-transformer architecture in abdominal ultrasound images. - Maxime Gobin, Muriel Gosnat, Seindé Toure, Lina Faik, Joel Belafa, Antoine Villedieu de Torcy, Florence Armstrong:
From data extraction to analysis: a comparative study of ELISE capabilities in scientific literature. - Soumya Sara Koshy, L. Jani Anbarasi:
HMA-Net: a hybrid mixer framework with multihead attention for breast ultrasound image segmentation. - Rémy Decoupes, Claudia Cataldo, Luca Busani, Mathieu Roche, Maguelonne Teisseire:
Automating updates for scoping reviews on the environmental drivers of human and animal diseases: a comparative analysis of AI methods. - Samir Ghandour, Adriana A. Rodriguez Alvarez, Isabella F. Cieri, Shiv Patel, Mounika Boya, Rahul Chaudhary, Anna Poucey, Anahita Dua:
Using machine learning models to predict post-revascularization thrombosis in PAD. - Yoo Jung Oh, Muhammad Ehab Rasul, Emily McKinley, Christopher Calabrese:
From digital traces to public vaccination behaviors: leveraging large language models for big data classification. - Negar Elmisadr, Mohamed-Bachir Belaid, Anis Yazidi:
Stochastic and deterministic processes in Asymmetric Tsetlin Machine. - Adane Adugna, Desalegn Abebaw, Abtie Abebaw, Mohammed Jemal:
Deep learning architectures for influenza dynamics and treatment optimization: a comprehensive review. - Tobias Schraut, Anne Schützenberger, Tomás Arias-Vergara, Melda Kunduk, Matthias Echternach, Stephan Dürr, Julia Werz, Michael Döllinger:
Machine learning based assessment of hoarseness severity: a multi-sensor approach centered on high-speed videoendoscopy. - Hasan Beyari:
Assessing artificial intelligence's impact on e-customer loyalty in the Saudi Arabian market. - Melanie J. McGrath, Oliver Lack, James Tisch, Andreas Duenser:
Measuring trust in artificial intelligence: validation of an established scale and its short form. - Luis Jose Gonzalez-Gomez, Sofia Margarita Hernandez-Munoz, Abiel Borja, Fernando A. Arana-Salas, Jose Daniel Azofeifa, Julieta Noguez, Patricia Caratozzolo:
Dynamic taxonomy generation for future skills identification using a named entity recognition and relation extraction pipeline. - Nixson Okila, Andrew Katumba, Joyce Nakatumba-Nabende, Cosmas Mwikirize, Sudi Murindanyi, Jonathan Serugunda, Samuel Bugeza, Anthony Oriekot, Juliet Bossa, Eva Nabawanuka:
Deep learning for accurate B-line detection and localization in lung ultrasound imaging. - Souptik Barua, Channing J. Paller, Navkiran Randhawa, Arvind Rao:
Editorial: AI in digital oncology: imaging and wearable technology for cancer detection and management. - András Berzi, Ervin Berényi, Zita Képes, Barnabás Antal, Ábrahám Gergely Varga, Miklós Emri:
NLP-based removal of personally identifiable information from Hungarian electronic health records. - Peng Li, Jianhua Ding, Chia S. Lim:
VMDU-net: a dual encoder multi-scale fusion network for polyp segmentation with Vision Mamba and Cross-Shape Transformer integration. - Cristian Jimenez-Romero, Alper Yegenoglu, Christian Blum:
Multi-agent systems powered by large language models: applications in swarm intelligence. - Sebastian Seidel, Uwe M. Borghoff:
Deriving equivalent symbol-based decision models from feedforward neural networks. - Yu Du, Tong Niu, Rong Zhao:
Mixture of prompts learning for vision-language models. - Fabio Tamburini:
On automatic decipherment of lost ancient scripts relying on combinatorial optimisation and coupled simulated annealing. - Mirjam Bonanno, Davide Cardile, Piergiuseppe Liuzzi, Antonio Celesti, Giuseppe Micali, Francesco Corallo, Angelo Quartarone, Francesco Tomaiuolo, Rocco Salvatore Calabrò:
Can artificial intelligence improve the diagnosis and prognosis of disorders of consciousness? A scoping review. - Mohammad Nasir, Kaif Siddiqui, Samreen Ahmed:
Ethical-legal implications of AI-powered healthcare in critical perspective. - Giulio Sandini, Alessandra Sciutti, Pietro Morasso:
Mutual human-robot understanding for a robot-enhanced society: the crucial development of shared embodied cognition. - Sowmya V. L, A. Bharathi Malakreddy, Santhi Natarajan, N. Prathik, Rajesh I. S.:
Spectral Entropic Radiomics Feature Extraction (SERFE): an adaptive approach for glioblastoma disease classification. - Sandeep Wankhade, Manoj Sahni, Ernesto León-Castro, Maricruz Olazabal-Lugo:
Navigating AI ethics: ANN and ANFIS for transparent and accountable project evaluation amidst contesting AI practices and technologies. - Falk Maoro, Michaela Geierhos:
Contestable AI for criminal intelligence analysis: improving decision-making through semantic modeling and human oversight. - Waqar M. Naqvi, Rohini Ganjoo, Michael Rowe, Aishwarya A. Pashine, Gaurav V. Mishra:
Critical thinking in the age of generative AI: implications for health sciences education. - James Andrew Henry:
Population health management through human phenotype ontology with policy for ecosystem improvement. - Jiapeng Yu, Yuqian Wu, Yajing Zhan, Wenhao Guo, Zhou Xu, Raymond Lee:
Co-Learning: code learning for multi-agent reinforcement collaborative framework with conversational natural language interfaces. - Brian M. Ross:
Leveraging psychedelic neuroscience to boost human creativity using artificial intelligence. - Huajun Ma, Qingnan You, Zhiyuan Jin, Xinglin Liu, Zimeng Chen:
Exploring the role of generative AI in international students' sociocultural adaptation: a cognitive-affective model. - Elhoucine Elfatimi, Yassir Lekbach, Swayam Prakash, Lbachir BenMohamed:
Artificial intelligence and machine learning in the development of vaccines and immunotherapeutics - yesterday, today, and tomorrow. - Chris Bauer, Long Tran Duc Dang, Twan van den Beucken, Johannes Schuchhardt, Ralf Herwig:
Systematic analysis of hepatotoxicity: combining literature mining and AI language models. - Marco Billi, Julio Labraña:
Is AI a functional equivalent to expertise in organizations and decision-making? Opportunities and pitfalls for AI in the context of just transitions. - Shikha Chaganti, Vivek Singh, Alasdair Edward Gent, Rishikesan Kamaleswaran, Ali Kamen:
Evaluating the impact of common clinical confounders on performance of deep-learning-based sepsis risk assessment. - Uttam U. Deshpande, Goh Kah Ong Michael, Sufola Das Chagas Silva Araujo, Vaidehi Deshpande, Rudragoud Patil, Ramchandra Alias Ameet Chate, Varun R. Tandur, Supreet S. Goudar, Shreya Ingale, Vaishnavi Charantimath:
Computer-vision based automatic rider helmet violation detection and vehicle identification in Indian smart city scenarios using NVIDIA TAO toolkit and YOLOv8. - Teona Gelashvili, Peeter Vihma, Ingrid Pappel:
Navigating the AI revolution: challenges and opportunities for integrating emerging technologies into knowledge management systems. Systematic literature review. - Dan Lloyd:
Epistemic responsibility: toward a community standard for human-AI collaborations. - Samuel Santana de Almeida, Raphael Silva Fontes, Luca Pareja C. F. Alves, Methanias Colaço Júnior, Gleyson José Pinheiro Caldeira Silva, Lyane Ramalho Cortez, Antonio Higor Freire de Morais, Guilherme Medeiros Machado, Hugo Gonçalo Oliveira, Aliete Cunha-Oliveira, João Paulo Queiroz dos Santos, Ricardo Alexsandro de Medeiros Valentim:
Artificial intelligence in healthcare text processing: a review applied to named entity recognition. - Jia Song, Chunqiu Li, Wirapong Chansanam:
Construction of medical scientific data repositories in China: analysis of survey and recommendations. - Tsedeke Temesgen Habe, Keijo Haataja, Pekka J. Toivanen:
Precision enhancement in wireless capsule endoscopy: a novel transformer-based approach for real-time video object detection. - Tai Su, Peng Zhang, Bingyin Zhang, Zihao Liu, Zexing Xie, Xiaomei Li, Jixiang Ma, Tao Xin:
Risk prediction of stroke-associated pneumonia in acute ischemic stroke with atrial fibrillation using machine learning models. - Jiahao Wu, Hengxu You, Jing Du:
AI generations: from AI 1.0 to AI 4.0. - Ali Alkhathlan, Faris Alahmadi, Faris A. Kateb, Hend Al-Khalifa:
Constructing and evaluating ArabicStanceX: a social media dataset for Arabic stance detection. - Irem Karaman, Burhan Sebin:
From data-driven cities to data-driven tumors: dynamic digital twins for adaptive oncology. - Jasleen Kaur, Zahid A. Butt:
AI-driven epidemic intelligence: the future of outbreak detection and response. - Ryozo Masukawa, Sanggeon Yun, SungHeon Evan Jeong, Wenjun Huang, Yang Ni, Ian Bryant, Nathaniel D. Bastian, Mohsen Imani:
PACKETCLIP: multi-modal embedding of network traffic and language for cybersecurity reasoning. - A. S. Elmotelb, F. Fayroz Sherif, A. S. Abohamama, Mahmoud Fakhr, Amr M. Abdelatif:
A novel deep learning technique for multi classify Alzheimer disease: hyperparameter optimization technique. - Y. H. P. P. Priyadarshana, Zilu Liang, Ian Piumarta:
ExDoRA: enhancing the transferability of large language models for depression detection using free-text explanations. - Raman Kumar, Sarvesh Garg, Rupinder Kaur, M. G. M. Johar, Sehijpal Singh, Soumya V. Menon, Pulkit Kumar, Ali Mohammed Hadi, Shams Abbass Hasson, Jasmina Lozanovic:
A comprehensive review of machine learning for heart disease prediction: challenges, trends, ethical considerations, and future directions. - Ramlah Sara Rehman, Ewald Meier, Mathias Ibsen, Christian Rathgeb, Robert Nichols, Christoph Busch:
Training humans for synthetic face image detection. - Birger Moëll, Fabian Farestam, Jonas Beskow:
Swedish Medical LLM Benchmark: development and evaluation of a framework for assessing large language models in the Swedish medical domain. - Inhye Jin, Jonathan A. Tangsrivimol, Erfan Darzi, Hafeez Ul Hassan Virk, Zhen Wang, Jan Egger, Sean Hacking, Benjamin S. Glicksberg, Markus Strauss, Chayakrit Krittanawong:
DeepSeek vs. ChatGPT: prospects and challenges. - Ryota Nonomura, Hiroki Mori:
Who speaks next? Multi-party AI discussion leveraging the systematics of turn-taking in Murder Mystery games. - Ibrahim Nafisah, Nermine Mahmoud, Ahmed A. Ewees, Mohamed G. Khattap, Abdelghani Dahou, Safar M. Alghamdi, Ibrahim Ahmed Fares, Mohammed Azmi Al-Betar, Mohamed Abd Elaziz:
Deep learning-based feature selection for detection of autism spectrum disorder. - Nasirul Mumenin, Maisha Mumtaz Rahman, Mohammad Abu Yousuf, Farzan Majeed Noori, Md. Zia Uddin:
Early diagnosis of autism across developmental stages through scalable and interpretable ensemble model. - Keita Suzuki, Nobukatsu Hojo, Kazutoshi Shinoda, Saki Mizuno, Ryo Masumura:
Data stream-pairwise bottleneck transformer for engagement estimation from video conversation. - Shikang Hou, Song Sun, Tao Yin, Zhibin Zhang, Meng Yan:
AMDCnet: attention-gate-based multi-scale decomposition and collaboration network for long-term time series forecasting. - Xuanqiao Lin, Lifang Bai, Xiaohuan Zhao, Lei Cai, Jin Yang:
Online platform vs. doctors: a comparative exploration of congenital cataract patient education from virtual to reality. - Shu Pi, Xin Wang, Jiatian Pi:
Research on the robustness of the open-world test-time training model. - Kexin Zhang, Cisheng Wu, Manman Ge, Teng Liu:
AI-enabled workforce integration: blended human resource contribution rate in Chinese companies. - Intissar Dhrari Hajsalem, Yassine Ben Ayed:
Detecting early gastrointestinal polyps in histology and endoscopy images using deep learning. - Ayat S. Hammad, Ali Tajammul, Ismail Dergaa, Maha Al-Asmakh:
Machine learning applications in the analysis of sedentary behavior and associated health risks. - Olha Sobetska:
Irrationality in humans and creativity in AI. - David Antony Selby, Rashika Jakhmola, Maximilian Sprang, Gerrit Großmann, Hind Raki, Niloofar Maani, Daria Pavliuk, Jan Ewald, Sebastian J. Vollmer:
Visible neural networks for multi-omics integration: a critical review. - Michael Edidem, Bill Xu, Ruopu Li, Di Wu, Banafsheh Rekabdar, Guangxing Wang:
Deep learning classification of drainage crossings based on high-resolution DEM-derived geomorphological information. - Tato Khundadze, Willi Semmler:
European sovereign debt control through reinforcement learning. - Eleonora Lima, Tiffany Morisseau:
Can chatbots teach us how to behave? Examining assumptions about user interactions with AI assistants and their social implications. - Muluken Hussen Asebel, Shimelis G. Assefa, Mesfin Abebe Haile:
Exploring the evolution and future prospects of Amharic to English machine translation: a systematic review. - Vikram Kulkarni, Sarat Kumar Sahoo, Bhushankumar Nemade, Suresh Kallam, Chakkrit Termritthikun:
Editorial: Exploring the power of AI and ML in smart grids: advancements, applications, and challenges. - Florian Peter Busch, Matej Zecevic, Kristian Kersting, Devendra Singh Dhami:
Elucidating linear programs by neural encodings. - Sridhar Jonnala, Nisha Mary Thomas, Sarthak Mishra:
Navigating ethical minefields: a multi-stakeholder approach to assessing interconnected risks in generative AI using grey DEMATEL. - Samia Dardouri:
An efficient method for early Alzheimer's disease detection based on MRI images using deep convolutional neural networks. - Diala Haykal, Mohamad Goldust, Hugues Cartier, Patrick Treacy:
AI in humanitarian healthcare: a game changer for crisis response. - Tongtong Jin, Ayitijiang Halili:
Predicting the risk of depression in older adults with disability using machine learning: an analysis based on CHARLS data. - Anas Alkhofi:
Man vs. machine: can AI outperform ESL student translations? - Juan Schrader, Lloy Pinedo, Franz Vargas, Karla Martell, José Seijas-Díaz, Roger Rengifo-Amasifen, Rosa Cueto-Orbe, Cinthya Torres-Silva:
Application of artificial intelligence techniques for the profiling of visitors to tourist destinations. - Neema Nicodemus Lyimo, Kadeghe Goodluck Fue, Silvia Francis Materu, Ndimile Charles Kilatu, Joseph P. Telemala:
Assessing the potential for application of machine learning in predicting weather-sensitive waterborne diseases in selected districts of Tanzania. - Alexandre Hudon:
A hybrid fuzzy logic-Random Forest model to predict psychiatric treatment order outcomes: an interpretable tool for legal decision support. - Birger Moëll, Fredrik Sand Aronsson:
Journaling with large language models: a novel UX paradigm for AI-driven personal health management. - Andrea Polonioli:
Moving LLM evaluation forward: lessons from human judgment research. - Antonia Terán-Bustamante, Antonieta Martínez-Velasco, Sandra Nelly Leyva-Hernández:
Management of scientific and ancestral knowledge: a decision-making model in mezcal industry in Mexico. - G. Sumathi, M. Uma Devi:
High-resolution image inpainting using a probabilistic framework for diverse images with large arbitrary masks. - Tongtong Jin, Ayitijiang Halili:
Correction: Predicting the risk of depression in older adults with disability using machine learning: an analysis based on CHARLS data. - Shiyue Chen, Yan Lin:
A multidimensional comparison of ChatGPT, Google Translate, and DeepL in Chinese tourism texts translation: fidelity, fluency, cultural sensitivity, and persuasiveness. - Ting Wang, Yingang Wen, Zhibiao Wang, Xi Li:
Three-dimensional visualization and navigation for micro-noninvasive uterine fibroid surgery based on MRI and ultrasound image fusion. - Heily Consepción Portocarrero Ramos, Omer Cruz Caro, Einstein Sánchez Bardales, Lenin Quiñones Huatangari, Jonathan Alberto Campos Trigoso, Jorge Luis Maicelo Guevara, River Chavez Santos:
Artificial intelligence skills and their impact on the employability of university graduates. - Christine Malin, Jürgen Fleiß, Stefan Thalmann:
Stakeholder-specific adoption of AI in HRM: workers' representatives' perspective on concerns, requirements, and measures. - Andrés Ilcic, Miguel Fuentes, Diego Lawler:
Artificial intelligence, complexity, and systemic resilience in global governance. - Shubham Joshi, Millie Pant, Arnav Malhotra, Kusum Deep, Václav Snásel:
A nnU-Net-based automatic segmentation of FCD type II lesions in 3D FLAIR MRI images. - Zhenkai Qin, Baozhong Wei, Yujia Zhai, Ziqian Lin, Xiaochuan Yu, Jingxuan Jiang:
CMDMamba: dual-layer Mamba architecture with dual convolutional feed-forward networks for efficient financial time series forecasting. - Chi-Yuan Lee, Eva Anderl:
Does business news sentiment matter in the energy stock market? Adopting sentiment analysis for short-term stock market prediction in the energy industry. - Yuxin Zhang, Qing Han:
Enhancing pre-trained language model by answering natural questions for event extraction. - Teerachai Amnuaylojaroen:
Advancements and challenges of artificial intelligence in climate modeling for sustainable urban planning. - Jeehaan Algaraady, Mohammad Mahyoob:
Exploring ChatGPT's potential for augmenting post-editing in machine translation across multiple domains: challenges and opportunities. - Zeinab Nezami, Syed Ali Raza Zaidi, Maryam Hafeez, Jie Xu, Karim Djemame:
Toward standardization of GenAI-driven agentic architectures for radio access networks. - Teona Gelashvili-Luik, Peeter Vihma, Ingrid Pappel:
Correction: Navigating the AI revolution: challenges and opportunities for integrating emerging technologies into knowledge management systems. Systematic literature review. - Mayra Leticia Rodríguez-Carrillo, Luis Asunción Pérez Dominguez, Roberto Romero-López, David Luviano Cruz, Ernesto León-Castro:
A systematic literature review on the use of multicriteria decision making methods for small and medium-sized enterprises innovation assessment. - José Manuel Brotons-Martínez, José María Cámara-Zapata:
The evaluation of performance for agroecological greenhouse tomato strategies by the CRITIC-OWA model. - Pingdi Zhou, Jiajun Cheng:
Stylistic variation across English translations of Chinese science fiction: Ken Liu versus ChatGPT. - Min Guo, Yu Zhang, Xinxin Gu, Xuhui Liu, Fei Peng, Zongjun Zhang, Mei Jing, Yingxia Fu:
A comparative study of bone density in elderly people measured with AI and QCT. - Alexander Romanishyn, Olena Malytska, Vitaliy Goncharuk:
AI-driven disinformation: policy recommendations for democratic resilience. - Hubert Makaruk, Jared M. Porter, E. Kipling Webster, Beata Makaruk, Pawel Tomaszewski, Marta Nogal, Daniel Gawlowski, Lukasz Sobanski, Bartosz Molik, Jerzy Sadowski:
Artificial intelligence-enhanced assessment of fundamental motor skills: validity and reliability of the FUS test for jumping rope performance. - Alexandre Bailly, Antoine Saubin, Gabriel Kocevar, Jonathan Bodin:
Divide and summarize: improve SLM text summarization. - Pavel Prudkov:
On the construction of artificial general intelligence based on the correspondence between goals and means. - Rasmus Gahrn-Andersen:
Integrating 4E cognition with science and technology studies: a framework for understanding AI applications. - Alexandra Lorena López-Naranjo, Mariana Isabel Puente-Riofrio, Verónica Adriana Carrasco-Salazar, Juan Diego Erazo-Rodríguez, Pamela Alexandra Buñay-Guisñan:
Artificial intelligence in the tourism business: a systematic review. - Artur Barsumyan, Raman Shyla, Anton Saukkonen, Christian Soost, Jan Adriaan Graw, Rene Burchard:
Quantifying training response in cycling based on cardiovascular drift using machine learning. - Nataliia Melnykova, Bohdan Pavlyk, Oleh Basystiuk, Stepan Skopivskyi:
Analysis and correcting pronunciation disorders based on artificial intelligence approach. - Gil Cohen, Avishay Aiche:
Predicting the Bitcoin's price using AI. - Weijie Wu, Zheng Zhang, Shuailei Wang, Ru Xin, Dong Yang, Weifeng Yao, Ziqing Hei, Chaojin Chen, Gangjian Luo:
Novel machine learning models for the prediction of acute respiratory distress syndrome after liver transplantation. - Birger Moëll, Fredrik Sand Aronsson, Sanian Akbar:
Medical reasoning in LLMs: an in-depth analysis of DeepSeek R1. - Yuriy A. Vasilev, Anastasia Pamova, Tatiana Bobrovskaya, Anton V. Vladzimirskyy, Olga V. Omelyanskaya, Elena Astapenko, Artem Kruchinkin, Vladimir P. Novik, Kirill Arzamasov:
Outliers and anomalies in training and testing datasets for AI-powered morphometry - evidence from CT scans of the spleen. - Mitra Madanchian, Hamed Taherdoost:
Ethical theories, governance models, and strategic frameworks for responsible AI adoption and organizational success. - Devesh Jawla, John D. Kelleher:
Layer wise Scaled Gaussian Priors for Markov Chain Monte Carlo Sampled deep Bayesian neural networks. - Wei Li, Li Cao, He Deng:
FLA-UNet: feature-location attention U-Net for foveal avascular zone segmentation in OCTA images. - Dalia Alammari, Elaf Alamari, Rawan Alamri, Raneem Alharbi, Jumana Felimban, Jana Aljohani:
Assessing medical students' attitudes, performance, and usage of ChatGPT in Jeddah, Saudi Arabia. - Hariom Dhungana:
Biomimicry as a decision-making methodology in condition monitoring. - Chirag Goel, Anita X, Jani Anbarasi L:
Federated knee injury diagnosis using few shot learning. - Priyanka Shrivastava:
Understanding acceptance and resistance toward generative AI technologies: a multi-theoretical framework integrating functional, risk, and sociolegal factors. - Guoyao Shen, Yancheng Zhu, Mengyu Li, Ryan McNaughton, Hernán Jara, Sean B. Andersson, Chad W. Farris, Stephan W. Anderson, Xin Zhang:
Regularization by neural style transfer for MRI field-transfer reconstruction with limited data. - Carl Errol Seran, Myles Joshua Toledo Tan, Hezerul Abdul Karim, Nouar AlDahoul:
A conceptual exploration of generative AI-induced cognitive dissonance and its emergence in university-level academic writing. - Petar Radanliev, Omar Santos, Uchenna Daniel Ani:
Generative AI cybersecurity and resilience. - Houmem Slimi, Imen Cherif, Sabeur Abid, Mounir Sayadi:
Biologically inspired hybrid model for Alzheimer's disease classification using structural MRI in the ADNI dataset. - Pauldy C. J. Otermans, Stavros Demetriadis, Debbie Richards:
Editorial: The role of conversational AI in higher education. - Zhaosheng Jin, Ramon Abola, Vincent Bargnes, Alexandra Tsivitis, Sadiq Rahman, Jonathon Schwartz, Sergio D. Bergese, Joy E. Schabel:
The utility of generative artificial intelligence Chatbot (ChatGPT) in generating teaching and learning material for anesthesiology residents. - Dmytro Chumachenko, Jasleen Kaur, Jake Y. Chen:
Editorial: Outbreak oracles: how AI's journey through COVID-19 shapes future epidemic strategy. - Correction: Stylistic variation across English translations of Chinese science fiction: Ken Liu versus ChatGPT.
- Mongi Ben Ameur, Jalel Chebil, Mohamed Hadi Habaebi, Jamel Bel Hadj Tahar:
Machine learning for improved path loss prediction in urban vehicle-to-infrastructure communication systems. - Suryanarayanan Balakrishnan, Charat Thongprayoon, Wannasit Wathanavasin, Jing Miao, Michael A. Mao, Iasmina M. Craici, Wisit Cheungpasitporn:
Evaluating artificial intelligence bias in nephrology: the role of diversity, equity, and inclusion in AI-driven decision-making and ethical regulation. - Apostolos Mavridis, Stergios Tegos, Christos Anastasiou, Maria Papoutsoglou, Georgios Meditskos:
Large language models for intelligent RDF knowledge graph construction: results from medical ontology mapping. - Mimosette Makem, Levente Tamas, Lucian Busoniu:
A reliable approach for identifying acute lymphoblastic leukemia in microscopic imaging. - Zhina Mohamadi, Ahmad Shafizadeh, Yasaman Aliyan, Seyedeh Fatemeh Shayesteh, Parsa Goudarzi, Alireza Khodabandeh, Amirali Vaghari, Helma Ashrafi, Omid Bahrami, Armin Zarinkhat, Yalda Khodabandeh, Kimia Pouyan:
The application of random forest-based models in prognostication of gastrointestinal tract malignancies: a systematic review. - Israel Edem Agbehadji, Ibidun Christiana Obagbuwa:
A hybrid long short-term memory with generalized additive model and post-hoc explainable artificial intelligence with causal inference for air pollutants prediction in Kimberley, South Africa. - Tsehayu Gizachew Yirga, Hailu Gizachew Yirga, Eshetie Gizachew Addisu:
Cryptographic key generation using deep learning with biometric face and finger vein data. - Aqsa Rahim, Sushmit Dhar, Fuqing Yuan, Javad Barabady:
A fuzzy system for detection of road slipperiness in Arctic snowy conditions using LiDAR. - Yi Xiang, U. Rajendra Acharya, Quan Le, Jen Hong Tan, Chiaw-Ling Chng:
Thyroid nodule segmentation in ultrasound images using transformer models with masked autoencoder pre-training. - Ajimon George, Maria Susan Mathew:
AI-powered creative stimulus: the ascent of virtual virtuoso entrepreneurship. - Agate Jarmakovica:
Machine learning-based strategies for improving healthcare data quality: an evaluation of accuracy, completeness, and reusability. - Elhoucine Elfatimi, Yassir Lekbach, Swayam Prakash, Sweta Karan, Joshua Christian Dorotta, America Garcia, Beverly Sabathini Suoth, Chhaya Maurya, Etinosa Yvette Omorogieva, Sarah Xue Le Ng, Emma Jane Liao, Reilly Andrew Chow, Lbachir BenMohamed:
Artificial intelligence-, organoid-, and organ-on-chip-powered models to improve pre-clinical animal testing of vaccines and immunotherapeutics: potential, progress, and challenges. - Xinyue Wang, Yan Liu, Linghao Song, Yinuo Wen, Shenjie Peng, Ruoxi Ren, Yi Zhang, Tianhui Chen, Yongxiang Jiang:
Transforming cataract care through artificial intelligence: an evaluation of large language models' performance in addressing cataract-related queries. - Yao Liang, Yuwei Wang, Hongjian Fang, Feifei Zhao, Yi Zeng:
A brain-inspired memory transformation based differentiable neural computer for reasoning-based question answering. - Tianyu Wang, Aowen Wang, Minwei Zhu, Wenhao Jiang, Mingrui Li, Shi Yan, Yifu Shu, Shengkun Yu, Zhiguo Lin, Zhibin Han:
Construction of a diagnostic model for temporal lobe epilepsy using interpretable deep learning: disease-associated markers identification. - Pedro Univaso, Eugenia San Segundo:
Detection of cloned voices in realistic forensic voice comparison scenarios. - Chad C. Tossell, Christopher Kuennen, Ali Momen, Gregory J. Funke, Michael T. Tolston, Ewart de Visser:
Robots in the moral loop: a field study of AI advisors in ethical military decision-making. - Cynthia Maldonado García, Rodrigo Bonazzola, Enzo Ferrante, Thomas H. Julian, Panagiotis I. Sergouniotis, Nishant Ravikumar, Alejandro F. Frangi:
Predicting cardiovascular disease risk using retinal optical coherence tomography imaging. - Abdelaali Mahrouk:
Epistemic limits of local interpretability in self-modulating cognitive architectures. - Ali Amirahmadi, Farzaneh Etminani, Mattias Ohlsson:
Adaptive noise-augmented attention for enhancing Transformer fine-tuning on longitudinal medical data. - Joan Farnós, Alger Sans Pinillos, Vicent Costa:
Ethical prompting: toward strategies for rapid and inclusive assistance in dual-use AI systems. - Dmitrii Khizbullin, Eduardo Rocha de Andrade, Thanh Hau Nguyen, Matheus Pedroza Ferreira, David R. Pugh:
Graph neural networks with configuration cross-attention for tensor compilers. - Deepthi Godavarthi, Venkata Charan Sathvik Rekapalli, Sribidhya Mohanty, J. V. S. D. Vigneswara Jaswanth, Dinesh Polisetty, Bibhuti Bhusan Dash, Fernando Moreira:
Federated quantum-inspired anomaly detection using collaborative neural clients. - Hubert Makaruk, Jared M. Porter, E. Kipling Webster, Beata Makaruk, Pawel Tomaszewski, Marta Nogal, Daniel Gawlowski, Lukasz Sobanski, Bartosz Molik, Jerzy Sadowski:
Correction: Artificial intelligence-enhanced assessment of fundamental motor skills: validity and reliability of the FUS test for jumping rope performance. - Shirali Kadyrov, Bolatbek Abdrasilov, Aslan Sabyrov, Nurseit Baizhanov, Alfira Makhmutova, Patrick C. Kyllonen:
Evaluating LLMs on Kazakhstan's mathematics exam for university admission. - Hao Chen, Yue Yu, Hui Guo, Baochen Hu, Shu Hu, Jinrong Hu, Siwei Lyu, Xi Wu, Chingsheng Lin, Xin Wang:
A self-learning multimodal approach for fake news detection. - A. Anny Leema, P. Balakrishnan, G. Gopichand, G. Rajarajan:
LMS-ViT: a multi-scale vision transformer approach for real-time smartphone-based skin cancer detection. - Yu Hu, Kimberly Taing, Jing Wang, David Sher, Michael Dohopolski:
Enhancing prediction of primary site recurrence in head and neck cancer using radiomics and uncertainty estimation. - Salvador D. Atagong, Henri E. Z. Tonnang, Kennedy Senagi, Mark Wamalwa, Komi Mensah Agboka, John Odindi:
A review on knowledge and information extraction from PDF documents and storage approaches. - Mathieu Roche, Brett Drury:
Editorial: Semantics and natural language processing in agriculture. - Shiyong Chu, Yuwei Chen:
Weaponizing cognitive bias in autonomous systems: a framework for black-box inference attacks. - Adam Elsayed, Gary F. Updegrove:
Limitations of broadly trained LLMs in interpreting orthopedic Walch glenoid classifications. - Fergus Imrie, Paulius Rauba, Mihaela van der Schaar:
Redefining digital health interfaces with large language models. - Teena Rai, Jun He, Jaspreet Kaur, Yuan Shen, Mufti Mahmud, David J. Brown, Emma O'Dowd, David R. Baldwin:
Evaluating XAI techniques under class imbalance using CPRD data. - Ioannis Karamitsos, Nikolaos Roufas, Khalil Al-Hussaeni, Athanasios Kanavos:
LegNER: a domain-adapted transformer for legal named entity recognition and text anonymization. - Grega Mocnik, Ana Rehberger, Zan Smogavc, Izidor Mlakar, Urska Smrke, Sara Mocnik:
Multimodal observable cues in mood, anxiety, and borderline personality disorders: a review of reviews to inform explainable AI in mental health. - Elena De Cristofaro, Francesca Zorzi, Maria Abreu, Alice Colella, Giovanna Del Vecchio Blanco, Gionata Fiorino, Elisabetta Lolli, Nurulamin Noor, Loris Riccardo Lopetuso, Mathieu Pioche, Jean Grimaldi, Omero Alessandro Paoluzi, Joana Roseira, Giorgia Sena, Edoardo Troncone, Emma Calabrese, Giovanni Monteleone, Irene Marafini:
When AI speaks like a specialist: ChatGPT-4 in the management of inflammatory bowel disease. - Tahani Albalawi, Samia Dardouri:
Enhancing credit card fraud detection using traditional and deep learning models with class imbalance mitigation. - Houda Amouri, Samia Haroud, Lynda Ouchaouka, Nadia Saqri:
Acceptability of artificial intelligence in inclusive education: a TAM2-based study among preservice teachers. - S. Karthikeyan, R. Charan, Sathiya Narayanan, L. Jani Anbarasi:
Enhanced plant disease classification with attention-based convolutional neural network using squeeze and excitation mechanism. - Samuel Barry, Sophia Y. Wang:
Multicenter evaluation of machine and deep learning methods to predict glaucoma surgical outcomes. - Daniil Maksymenko, Oleksii Turuta:
Tokenization efficiency of current foundational large language models for the Ukrainian language. - Singaraju Ramya, R. I. Minu:
Oral squamous cell carcinoma grading classification using deep transformer encoder assisted dilated convolution with global attention. - Yingxue Ren, Yitong Qu, Runzeng Gao:
Data quality challenges of AIGC application in smart agriculture. - Huanyu Meng, Yihua Tang, Yuanqi Qi, Qinming Zhou, Lu He, Sheng Chen:
The potential of DeepSeek for AI-aided diagnosis of antibody-positive autoimmune encephalitis: a single-center, retrospective, observational study. - Ahmad Almufarreh, Ashfaq Ahmad, Muhammad Arshad, Wou Onn Choo, Robinson Elechi:
Ethical implications of ChatGPT and other large language models in academia. - S. M. Pavithra, Saranyaraj D., Anirban Chakrabortty:
Lung cancer risk prediction using augmented machine learning pipelines with explainable AI. - Benard O. Ogol, Evans Omondi, John Olukuru, Betsy Muriithi, Kennedy Senagi:
Predicting food prices in Kenya using machine learning: a hybrid model approach with XGBoost and gradient boosting. - Wanxuan Li, Xinhua Li, Weihang Guo, Boyuan Gu, Jianjun Du, Ning Chi, Dan Shao, Kai Xiao, Ren Mo:
Scaling transformers to high-dimensional sparse data: a Reformer-BERT approach for large-scale classification. - Costin Florian Ciusdel, Alex Serban, Tiziano Passerini:
Universal medical image segmentation via in-context cross-attention. - Yaser Altameemi, Mohammed Altamimi, Adel Alkhalil, Diaa M. Uliyan, Romany Fouad Mansour:
Text summarization method of argumentative discourse by combining the BERT-transformer model. - Priyank Desai, Snahil Singh, Shubham Amilkanthwar:
The Test Pyramid 2.0: AI-assisted testing across the pyramid. - Omar Saadiyeh, Alaaeddine Ramadan, Mohammad Hajjar, Gilles Bernard:
A comparative study of Arabic syntactic analyzers. - Wenqiang Li, Dongdong Yan, Wei Hu, Xiaoling Su, Zheng Zhang:
Enhancing one-year mortality prediction in STEMI patients post-PCI: an interpretable machine learning model with risk stratification. - Rui Zhang, Xue Wu, Jing Li, Pengyu Zhao, Qing Zhang, Lige Wuri, Donghui Zhang, Zhijie Zhang, Linnan Yang:
A bibliometric review of deep learning in crop monitoring: trends, challenges, and future perspectives. - Lihao Shen, Zhengrong Li, Yongqing Liang, Yiqiang Feng, Zhanyu Zhang:
Artificial intelligence adoption and corporate ESG performance: evidence from a refined large language model. - Rumita Limbu Sanwa, Raksha Khadka, Yeong Nain Chi:
Forecasting global monthly cotton prices: the superiority of NNAR models over traditional models. - Kasian Myagila, Devotha Godfrey Nyambo, Mussa Ally Dida:
Efficient spatio-temporal modeling for sign language recognition using CNN and RNN architectures. - Zhonglin Zeng, Hongyang Wang, Chi Yao, Zile Dong, Shimin Cai:
Optimizing surface defect detection with YOLOv9: the role of advanced backbone models. - Arwa Almubarak, Wadee Alhalabi, Ibrahim Albidewi, Eaman Alharbi:
An AI-powered framework for assessing teacher performance in classroom interactions: a deep learning approach. - Sheng Qin, Ce Liang, Yuling Luo, Junxiu Liu, Qiang Fu, Xue Ouyang:
Multi-scale and deeply supervised network for image splicing localization. - Zeshan Pang, Xuehu Yan, Shasha Guo, Yuliang Lu:
Diversity-enhanced reconstruction as plug-in defenders against adversarial perturbations. - Sou Nobukawa, Arya Kumar Bhattacharya, Akira Hirose:
Editorial: Deep neural network architectures and reservoir computing. - Hanjin Xie, Jiayi Luo, Xi Tan:
Artificial intelligence technology application and corporate ESG performance - evidence from national pilot zones for artificial intelligence innovation and application. - Marius Tacke, Matthias Busch, Kevin Linka, Christian J. Cyron, Roland C. Aydin:
Functional partitioning through competitive learning. - Anny Leema, Ponnuraman Balakrishnan, Gladys Gnana Kiruba, Ganesarathinam Rajarajan, Stuti Goel, Prisha Aggarwal:
SeismoQuakeGNN: a hybrid framework for spatio-temporal earthquake prediction with transformer-enhanced models. - Yajing Ren, Zheng Gu, Wen Liu:
MedAlmighty: enhancing disease diagnosis with large vision model distillation. - Abhijai Sasikumar, A. Anny Leema, P. Balakrishnan:
Data-driven pit stop decision support for Formula 1 using deep learning models. - M. D. Aaseegha, B. Venkataramana:
A hybrid framework for enhanced segmentation and classification of colorectal cancer histopathology. - Sarah Alotaibi, Suheer Alhadhrami, Saad Al-Ahmadi:
Enhancing accessibility: a multi-level platform for visual question answering in diabetic retinopathy for individuals with disabilities. - Juhua Ye, Junwu Huang:
Opinions and attitudes toward artificial intelligence among operating room nurses: a descriptive meta-analysis based on the comparative studies of the different opinions. - Betty Tärning, Trond A. Tjøstheim, Annika Wallin:
More polished, not necessarily more learned: LLMs and perceived text quality in higher education. - Areej Jaber, Israa Bahati, Paloma Martínez:
Leveraging pre-trained embeddings in an ensemble machine learning approach for Arabic sentiment analysis. - Luca Ballestra Caffaratti, Claudio Longobardi, Laura Badenes-Ribera, Davide Marengo:
AI adoption among adolescents in education: extending the UTAUT2 with psychological and contextual factors. - Christiane Rakotomalala, Jean-Marie Paillat, Frédéric Feder, Angel Avadí, Laurent Thuriès, Marie-Liesse Vermeire, Jean-Michel Médoc, Tom Wassenaar, Caroline Hottelart, Lilou Kieffer, Elisa Ndjie, Mathieu Picart, Jorel Tchamgoue, Alvin Tulle, Laurine Valade, Annie Boyer, Marie-Christine Duchamp, Mathieu Roche:
A lexicon obtained and validated by a data-driven approach for organic residues valorization in emerging and developing countries. - Josep Blazquez-Folch, María Limones Andrade, Berta Calm, Juan Miguel Auñón García, Montserrat Alegret, Nathalia Muñoz, Amanda Cano, Victoria Fernández, Fernando García-Gutiérrez, Itziar De Rojas, Pablo García-González, Clàudia Olivé, Raquel Puerta, María Capdevila-Bayo, Álvaro Muñoz-Morales, Paula Bayón-Buján, Andrea Miguel, Laura Montrreal, Ana Espinosa, Pilar Sanz-Cartagena, Maitee Rosende-Roca, Carla Zaldua, Peru Gabirondo, Yahveth Cantero-Fortiz, Miren Jone Gurruchaga, Lluis Tarraga, Mercè Boada, Agustín Ruiz, Marta Marquié, Sergi Valero:
Federated learning for cognitive impairment detection using speech data. - Oussama Bouaggad, Natalia Grabar:
Search-optimized quantization in biomedical ontology alignment. - Yong Zhao, Xinpeng Zhang, Yanli Liu, Xuecheng Mao, Xi Chen, Yasheng Maimaitituerxun, Weidong He:
Pipeline monitoring data recovery using novel deep learning models: an engineering case study. - Aahan Ritesh Prajapati, Ajay Goyal:
Enhancing Ishihara and educational images using machine learning: toward accessible learning for colorblind individuals. - Hung Viet Nguyen, Hyojin Park, Namhyun Yoo, Jinhong Yang:
Resource-efficient fine-tuning of large vision-language models for multimodal perception in autonomous excavators. - Wenwei Zhang, Dongxu Tai, Siwen Kang, Keda Li:
The application progress of artificial intelligence in osteoporosis diagnosis. - Austin J. Ruiz, Sofia I. Hernández Torres, Eric J. Snider:
Adaptation of convolutional neural networks for real-time abdominal ultrasound interpretation. - Fadil Inceoglu, Paul T. M. Loto'aniu:
Utilizing XGBoosts to correct arcjet contamination in magnetic field measurements from GOES missions. - Jielin Fan, Wenhong Xiao, Zhipeng Yan, Qiang Ouyang:
Accuracy of AI chatbots in answering frequently asked questions on cervical cancer. - Soumyadeep Roy, Stefanie Krähe, Michael Marschollek, Helge Frieling, Niloy Ganguly, Dominik Wolff:
Decision tree-based approach to robust Parkinson's disease subtyping using clinical data of the Michael J. Fox Foundation LRRK2 cross-sectional study. - Deependra Rastogi, Prashant Johri, Massimo Donelli, Tarun Agarwal, Shrikant Tiwari, Pushpa Singh:
XAI-BT-EdgeNet: explainable edge-aware deep learning with squeeze-and-excitation for brain tumor detection and prediction. - Gatis Lama, Agnese Lastovska:
AI competence and sentiment: a mixed-methods study of attitudes and open-ended reflections. - Deepthi Goteti, Vuyyuru Krishna Reddy:
AI-driven routing pipeline in software-defined networks using DQL: a mini review. - Diala Haykal, Frédéric Flament, David Amar, Hugues Cartier, Arianne Shadi Kourosh, Dong Hun Lee, Christopher Rowland-Payne:
Cosmetogenomics unveiled: a systematic review of AI, genomics, and the future of personalized skincare. - Xiang Xu, Zhengxiong Li, Hongwei Zhang, Kai Ma:
Named entity recognition for Chinese electronic medical records by integrating knowledge graph and ClinicalBERT. - Eng Hao Louis Tan, Yaman Hamed, Hanita Daud, Mohd Amirul Faiz Abdul Wahab, Ahmad Amirul Adlan Azhar, Sieow Yeek Tan:
Profiling investor behavior in the Malaysian derivatives market using K-means clustering. - Fang Tang, Renqi Zhu, Feng Yao, Junzhi Wang, Lailong Luo, Bo Li:
Explainable person-job recommendations: challenges, approaches, and comparative analysis. - Kiran Pala, S. Shalu, Vasudevan Nedumpozhimana, Kamal Kumar Choudhary:
A geometric semantic model and Parts-of-Sense Inference annotation framework. - Olaitan I. Awe, Hesborn Obura, Charles Ssemuyiga, Evans Mudibo, Mike J. Mwanga:
Enhanced deep Convolutional Neural Network for SARS-CoV-2 variants classification. - Ludmilla H. Huntsman:
Editorial: Disinformation countermeasures and artificial intelligence. - Zacharia Prakash:
Integration of AI and ML in regenerative braking for electric vehicles: a review. - Claire Randolph, Adam Michaleas, Darrell O. Ricke:
Large language models for closed-library multi-document query, test generation, and evaluation. - Ali Zolnour, Hossein Azadmaleki, Yasaman Haghbin, Fatemeh Taherinezhad, Mohamad Javad Momeni Nezhad, Sina Rashidi, Masoud Khani, Amirsajjad Taleban, Samin Mahdizadeh Sani, Maryam Dadkhah, James M. Noble, Suzanne Bakken, Yadollah Yaghoobzadeh, Abdol-Hossein Vahabie, Masoud Rouhizadeh, Maryam Zolnoori:
LLMCARE: early detection of cognitive impairment via transformer models enhanced by LLM-generated synthetic data. - Meghana Kshirsagar, Vedant Rathi, Conor Ryan:
Meta-learner-based frameworks for interpretable email spam detection. - Pei-Hsuan Hsieh:
ML-based validation of experimental randomization in learning games. - Richardson Menezes, Thiago Henrique Freire de Oliveira, Luiz Paulo de Souza Medeiros, Adrião Duarte Dória Neto:
Deep Q-Managed: a new framework for multi-objective deep reinforcement learning. - Neetu Kushwaha, Alok Singh, Hassan Aftab Sheikh:
NatureKG: an ontology and knowledge graph for nature finance with a Text2Cypher application. - Abdallah Qawasmeh, Salahaldeen Deeb, Alhareth M. Amro, Khaled Alhashlamon, Ibrahim Althaher, Nour Yaser Mohammad Shadeed, Khadija Mohammad, Farid K. Abu Shama:
Exploring the use and perceived impact of artificial intelligence in medical internship: a cross-sectional study of Palestinian doctors. - Malte Högemann, Laura Hein, Jan-Oliver Britsche, Oliver Thomas:
Technostress and generative AI in the workplace: a qualitative analysis of young professionals. - Greg Demirchyan:
Algorithmic fairness: challenges to building an effective regulatory regime. - Lichun Guo, Hao Zeng, Junliang Wang, Shuang Liang, Wenlong Hang:
Weight-aware semi-supervised self-ensembling framework for interior decoration style classification. - Cristian N. Rivera-Rosas, J. R. Tadeo Calleja-López, Sandra J. Larios-Camacho, Sergio Trujillo-López:
Using ChatGPT as an assessment tool for medical residents in Mexico: a descriptive experience. - Kristin Skjervold, Henriette Nordahl Sævig, Helge Ræder, Arvid Lundervold, Alexander Selvikvåg Lundervold:
DiaGuide-LLM - Using large language models for patient-specific education and health guidance in diabetes. - Maria Eduarda Varela Cavalcanti Souto, Alexandre Chaves Fernandes, Ana Beatriz Santana Silva, Louise Helena de Freitas Ribeiro, Thales Allyrio Araújo de Medeiros Fernandes:
A multi-model longitudinal assessment of ChatGPT performance on medical residency examinations. - Robert Donoghue:
Freedom under algorithms: how unpredictable and asocial management erodes free choice. - Mahmood A. Jumaah, Yossra H. Ali, Tarik A. Rashid:
Artificial liver classifier: a new alternative to conventional machine learning models. - Zhenggui Zhang, Shanlin Xiao, Zhiyi Yu:
ADP-Net: a hierarchical attention-diffusion-prediction framework for human trajectory prediction. - Xin Wang, Lin Long:
The innovation paradox in human-AI symbiosis: ambidextrous effects of AI technology adoption on innovative behavior. - Reem Almuhanna, Samia Dardouri:
A deep learning/machine learning approach for anomaly based network intrusion detection. - Esteban Zavaleta-Monestel, Sebastián Arguedas-Chacón, Katherine Cordero-Bermúdez:
Artificial intelligence for surgical data management and decision support: lessons from wound care. - Sri Lakshmi Madapati, Nihar Ranjan Pradhan:
Decentralizing video copyright protection: a novel blockchain-enabled framework with performance evaluation. - Jinxin Tie, Chunfang Yan, Maosong Li, Jianqiang Gong, Yujie Wu, Hailin Fang, Meng Li, Weiwei Zhang, Jie Li:
A dynamic multitask evolutionary algorithm for high-dimensional feature selection based on multi-indicator task construction and elite competition learning. - Edwin Tay, Nazli Tümer, Amir Abbas Zadpoor:
Shape modeling of longitudinal medical images: from diffeomorphic metric mapping to deep learning. - Daniela Popescul, Laura-Diana Radu:
AI in phishing detection: a bibliometric review. - Ixandra Achitouv, David Chavalarias, Bruno Gaume:
Testing network clustering algorithms with natural language processing. - Chloe Gros, Leon Kester, Marieke Martens, Peter J. Werkhoven:
Modelling societal preferences for automated vehicle behaviour with ethical goal functions. - Yufeng Wang, Yang Yuan, Yang Liu, Haoqi Cai:
Association of Shanghai air pollution with postoperative infection in adolescent orthopedic patients: a study using a deep learning-based evolutionary model. - Parakram Singh Tanwer, Shishir Maheshwari, Sushree Behera, Amit Chauhan, T. Sunil Kumar:
Evaluation of vision transformers for the detection of fullness of garbage bins for efficient waste management. - Xiaoxia Yu, Bingyu Hu, Weifeng Jiang, Jinru Wan, Xinduoji Yang, Nianbo Liu, Xiaoyan Dong:
Enhanced YOLOv8 for industrial polymer films: a semi-supervised framework for micron-scale defect detection. - Balraj Verma, Mike Schulze, Divya Goswami, Kamal Upreti:
Artificial intelligence attitudes and resistance to use robo-advisors: exploring investor reluctance toward cognitive financial systems. - Tan Tran, Lin-Ching Chang, Peter S. Lum:
Enhancing rehabilitation in stroke survivors: a deep learning approach to access upper extremity movement using accelerometry data. - Ophir Nave, Pnina Barasheshet:
Artificial intelligence analysis applied to the treatment of granulosa cell tumors of the ovary. - Ahmet Kaplan, Sadi Evren Seker, Rabia Yoruk:
A review of AI-based business lead generation: Scrapus as a case study. - Abdulgani Kahraman:
Machine learning techniques for improved prediction of cardiovascular diseases using integrated healthcare data. - A. Ruban Christopher, A. R. Nithya:
Leveraging artificial intelligence to explore gendered patterns in financial literacy among teachers in academia. - Yan Xiao, Lingtao Zeng, Jie Yang, Mini Han Wang, Zhiyuan Lin, Wei Li:
Research on intelligent matching of students' learning ability and healthcare job market demand based on industrial engineering expertise graph. - Ketmanee Jongjiamdee, Pimnipa Pornwonglert, Nutnichar Na Bangchang, Pravit Akarasereenont:
Artificial intelligence in traditional medicine: evidence, barriers, and a research roadmap for personalized care. - Francisco Javier Álvarez-Martínez, Luis Esteban, Lucas Frungillo, Estefanía Butassi, Alessandro Zambon, María Herranz-Lopez, Mario Aranda, Federica Pollastro, Anne Sylvie Tixier, José V. García-Pérez, David Arráez-Román, Andrew Ross, Pedro Mena, Ru Angelie Edrada-Ebel, James Lyng, Vicente Micol, Fernando Borrás-Rocher, Enrique Barrajón-Catalán:
There are significant differences among artificial intelligence large language models when answering scientific questions. - Takahiro Kato, Daisuke Komura, Binaya Panda, Shumpei Ishikawa:
Medicine for artificial intelligence: applying a medical framework to AI anomalies. - Apoorva Kasoju, Tejavardhana Vishwakarma, Abhinaya Kasoju:
The role of AI-enhanced fast delivery services in strengthening customer retention and loyalty in competitive markets. - Umaima Khalid, Mokhtarrudin Ahmad, Tak Jie Chan, Mahir Pradana, Satnam Singh:
Mediating role of Digital Ethics on the impact of Artificial Intelligence Usage and Public Relations Practices: evidence from Malaysia. - Fasih Haider, Edward Moroshko, Yuyang Xue, Sotirios A. Tsaftaris:
Do generative models learn rare generative factors? - Ayah Beidas, Kousar Mohi, Fatme Ghaddar, Imtiaz Ahmad, Sa'ed Abed:
Cross-dialectal Arabic translation: comparative analysis on large language models. - Heiko Oppel, Andreas Spilz, Michael Munz:
Optimizing training of time series diffusion models via similarity score functions: application to cyclic and acyclic motion with IMU data. - Christopher Nielsen, Emma A. M. Stanley, Matthias Wilms, Nils D. Forkert:
Assessment of demographic bias in retinal age prediction machine learning models. - Alain Monica George, Rupa R:
Swipe, click, regret: an opinion on persuasive e-commerce and consumer autonomy. - Diogo Pellegrina, Mohamed Helmy:
Correction: AI for scientific integrity: detecting ethical breaches, errors, and misconduct in manuscripts. - Vinod Kumar Yata, Om Pritam Das, Jarmani Dansana, Abhishikta Gadtya, Biswa Ranjan Meher, Bukke Devendra Naik, Narasaiah Kolliputi:
Designing novel peptides with amyloid-β binding and clearance potential using BiLSTM and molecular dynamics. - Bo Huang, Dawei Zhang, Qiao Liu:
Editorial: Advances and challenges in AI-driven visual intelligence: bridging theory and practice. - Megan Mertz, Kelvi Toskovich, Gavin Shields, Ghislaine Attema, Jennifer Dumond, Erin Cameron:
Exploring trust factors in AI-healthcare integration: a rapid review. - Leonidas Theodorakopoulos, Alexandra Theodoropoulou, Aristeidis Bakalis:
Big data in financial risk management: evidence, advances, and open questions: a systematic review. - Hong Long, Yuancheng Shao, Mini Han Wang, Fengshi Jing, Yuqiao Chen, Shuai Xiao, Jia Gu:
LC-YOLOmatch: a novel scene segmentation approach based on YOLO for laparoscopic cholecystectomy. - Meruyert Taskynbayeva, Alina Gutoreva:
Machine learning approaches to anxiety detection: trends, model evaluation, and future directions. - Mkululi Sikosana, Sean Maudsley-Barton, Oluwaseun Ajao:
Linguistic patterns in pandemic-related content: a comparative analysis of COVID-19, Constraint, and Monkeypox datasets. - Andrii Paziuk, Dmytro Lande, Elina Shnurko-Tabakova, Phillip Kingston:
Decoding manipulative narratives in cognitive warfare: a case study of the Russia-Ukraine conflict. - Igor Garcia-Atutxa, Francisca Villanueva-Flores, Ekaitz Dudagotia Barrio, Javier I. Sanchez-Villamil, José Martínez-Más, Andrés Bueno-Crespo:
Artificial intelligence for ovarian cancer diagnosis via ultrasound: a systematic review and quantitative assessment of model performance. - Iván Cherrez-Ojeda, Björn Christian Frye, Andreas Hoheisel, Arturo Cortes-Telles, Karla Robles-Velasco, Heidegger Mateos-Toledo, Ricardo G. Figueiredo, Christopher J. Ryerson, Gabriela Rodas-Valero, Juan Carlos Calderón:
Evaluation of large language model-generated medical information on idiopathic pulmonary fibrosis. - Carlos Henrique Vieira-Vieira, Sarang Sanjay Kulkarni, Adam Zalewski, Jobst Löffler, Jonas Münch, Annika Kreuchwig:
From data silos to insights: the PRINCE multi-agent knowledge engine for preclinical drug development. - Shu Pi, Xin Wang, Jiatian Pi:
Correction: Research on the robustness of the open-world test-time training model. - Meshari Alazmi, Amer AlGhadhban, Abdulaziz Almalaq, Kamaleldin B. Said, Yazeed Faden:
Statistical and machine learning approaches for identifying biomarker associations in respiratory diseases in a population-specific region. - Chaveevan Pechsiri, Intaka Piriyakul, Joseph Santhi Pechsiri:
Grouped semantic-feature relation extraction from texts to represent medicinal-plant property knowledge on social media. - Arthur Gonsales da Silva, Roger Pinho de Oliveira, Caio de Oliveira Bastos, Elena Almeida de Carvalho, Bruno Duarte Gomes:
A mobile hybrid deep learning approach for classifying 3D-like representations of Amazonian lizards. - Sanjeev Kumar, Stefan Bosse, Chirag Shah:
Investigation of deep learning approaches for automated damage diagnostics in fiber metal laminates using Detectron2 and SAM. - Mark van Velzen, Robert Frans van der Willigen, Vincent J. de Beer, Helen I. de Graaf-Waar, Esther R. C. Janssen, Sjemaine van Leeuwen, Micha F. van der Willigen, Martijn J. van der Willigen, Gavin Renardus, Rayan El Maaroufi, Sven J. Satimin, Larissa M. Hartog, Tim Hulsen, Nico L. U. van Meeteren, Mark C. Scheper:
Privacy-, linguistic-, and information-preserving synthesis of clinical documentation through generative agents. - Haozheng Yu, Bing Xu:
Multi-modal texture fusion network for detecting AI-generated images. - Rosabel Roig-Vila, Miguel Cazorla, Sébastien Lallé:
Editorial: Methodology for emotion-aware education based on artificial intelligence. - Federico Guede-Fernández, Yash Wagle, Pedro Dias, Ana Paula Giordano, Lúcio Henriques, Gonçalo Costa, Salomé Azevedo:
Artificial intelligence for algorithmic trading digital assets: evidence from the Counter-Strike 2 skin market. - Tshepiso Mokoena, Moses Mukosha, Moleen Zunza, Innocent Maposa:
Predictors of mortality among neonates in Lusaka, Zambia: a comparative analysis of machine learning and traditional survival analysis techniques. - Rommel Gutierrez, William Eduardo Villegas-Ch., Sergio Luján-Mora:
Implementing federated learning for privacy-preserving emotion detection in educational environments. - Mei Zhao, Manrui Wang, Linmiao Fan, Mai Liu, Dongsheng Wei, Dong Dong, Xiaoqing Zhang:
An explainable dual-modal diagnostic model for coronary artery disease: a feature-gated approach using tongue and facial image features. - Shoji Taniguchi, Toshihiro Sakamoto, Haruki Nakamura, Yasunori Nonoue, Di Guan, Akari Fukuda, Hirofumi Fukuda, Kaede C. Wada, Takuro Ishii, Jun-Ichi Yonemaru, Daisuke Ogawa:
Correction: Phenology analysis for trait prediction using UAVs in a MAGIC rice population with different transplanting protocols. - Guihua Yang, Ziran Chen, Peng Guo, Junchi Ma, Jinjie Huang, Cong Jin, Xiaona Yang, Kai Zhao, Yibo Wang, Qi Gao, Chengcheng Liu, Tianqi Wu, Yong Li, Yingwei Guo, Jie Zheng, Xiangran Cai, Yingjian Yang:
BLoss-DDNet: bending loss and dual-task decoding network for overlapping cell nucleus segmentation of cervical clinical LBC images. - Xavier Sécheresse, Jacques-Yves Guilbert-Ly, Antoine Villedieu de Torcy:
GAAPO: genetic algorithmic applied to prompt optimization. - Diogo Pellegrina, Mohamed Helmy:
AI for scientific integrity: detecting ethical breaches, errors, and misconduct in manuscripts. - Shubhangi Mahato, Hanqing Bi, Suresh Neethirajan:
Dairy DigiD: a keypoint-based deep learning system for classifying dairy cattle by physiological and reproductive status. - Amankeldi A. Salybekov, Markus Wolfien, Ainur Yerkos, Zholdas Buribayev, Sumi Hidaka, Shuzo Kobayashi:
Phase-specific kidney graft failure prediction with machine learning model. - Thomas Hartung:
AI, agentic models and lab automation for scientific discovery - the beginning of scAInce. - Mariana Dogaru, Olivia Pisica, Cosmin-Stefan Popa, Andrei-Adrian Ragman, Ilinca-Roxana Tololoi:
The perceived impact of artificial intelligence on academic learning. - Eun Jin Jung, Hea Jun Yoon:
Issues of AI and human resource development: applications in education and the arts. - Yue Xiao, Carmine Ventre, Yuhan Wang, Haochen Li, Yuxi Huan, Buhong Liu:
LiT: limit order book transformer. - Erick Aronés, Jefferson Espinal, Cesar Salas:
App2: software solution for apple leaf disease detection based on deep learning (CNN+SVM). - Juan Carlos Chávez-Autor:
Artificial Creativity: from predictive AI to Generative System 3. - Eliana Rodríguez-Salcedo, Carlos Martínez-Bonilla, Betty Pérez-Mayorga, Monica Salame Ortiz, Pamela Armas-Freire, Anita Espín-Miniguano, Eulalia Pino-Loza:
Evaluating AI decision tools in Ecuador's courts: efficiency, consistency, and uncertainty in legal judgments. - N. Anusha, L. Jani Anbarasi:
Crack detection in structural images using a hybrid Swin Transformer and enhanced features representation block. - Guannan Zhai, Merav Bar, Andrew J. Cowan, Samuel Rubinstein, Qian Shi, Ningjie Zhang, En Xie, Will Ma:
AI for evidence-based treatment recommendation in oncology: a blinded evaluation of large language models and agentic workflows. - Omar F. Altal, Amer Mahmoud Sindiani, Hamad Yahia Abu Mhanna, Salem Alhatamleh, Mohammad Amin, Hanan Fawaz Akhdar, Rola Madain, Noor Alqasem, Faheem Zayed, Sitah Alanazi, Kholoud J. Sandougah:
WOAENet: a whale optimization-guided ensemble deep learning with soft voting for uterine cancer diagnosis based on MRI images. - Haohao Chen, Ying Zeng, De Cai:
Deep learning for cardiovascular management: optimizing pathways and cost control under diagnosis-related group models. - Pietro Torricelli, Cecilia Torricelli, Beatrice Bertelli, Matteo Sandi, Annarita Pecchi:
Physician perceptions of artificial intelligence in Northern Italy healthcare: a survey of fears and expectations. - Shanwei Chen, Xiuzhi Qi:
Entropy-adaptive differential privacy federated learning for student performance prediction and privacy protection: a case study in Python programming. - Chathurika S. Wickramasinghe, Daniel Marino, Daswin De Silva, Milos Manic:
Editorial: Machine learning for cybersecurity. - Rommel Gutierrez, William Eduardo Villegas-Ch., Jaime Govea:
Adaptive consensus optimization in blockchain using reinforcement learning and validation in adversarial environments. - Haya H. Tarawneh, Niveen Z. Halalsheh, Bahjat Abu Sulaiman, Huda A. Alhajjaj, Nesreen N. Atieh:
Artificial intelligence as a tool to enhance social interventions in reducing crime. - Muhammad Ikram ul Haq, Waqas Haider Khan Bangyal, Arfan Jaffar, Asma Abdullah Alfayez, Adnan Ashraf, Meshari Alazmi, Mubbashar Hussain:
Gender-based Alzheimer's detection using ResNet-50 and binary dragonfly algorithm on neuroimaging. - Fei Pei, Ying Zhou, Qiangqiang Fu, Hong Zhou:
Real-time sleep disorder monitoring design using dynamic temporal graphs with facial and acoustic feature fusion. - A. Anny Leema, T. Saktheshwaran, G. Reena Sri, P. Balakrishnan:
HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers. - P. C. Sarah Prithvika, Jani Anbarasi L, Modigari Narendra:
Leveraging multi-scale feature integration in UNet and FPN for semantic segmentation of lung nodules. - Xiaohui Wang, Yang Li, Fangyuan Chen:
Twitter data emotion analysis using Hadoop and metaheuristic optimized Graphical Neural Network. - Marran Al Qwaid:
Perceptions of health data commodification in AI-driven healthcare systems in Saudi Arabia. - Fawaz S. Al-Anzi, Bibin Shalini Sundaram Thankaleela:
Arabic speech recognition model using Baidu's deep and cluster learning. - Paul Thompson, Sean Guillory:
The history of the semantic hacking project and the lessons it teaches for modern cognitive security. - Saja Al Ani, Joanne Cleland, Ahmed Zoha:
Deep learning in ultrasound tongue imaging: a systematic review toward automated detection of speech sound disorders. - Shahryar Sorooshian:
Artificial Intelligence Think Tank: a modern problem-solving framework. - Kelsie Cassell, Abiodun Ologunowa, Majid Rastegar-Mojarad, Bianca Chun, Yi-Ling Huang, Dong Wang, Nicole Cossrow:
Analysis of article screening and data extraction performance by an AI systematic literature review platform. - Daniel Rafique, Xuan Liu, Bo Gong, Laura Belsito, Melissa D. McCradden, Mjaye L. Mazwi, Wayne Lee, Graham Ohanlon, Kyle Tsang, Manohar Shroff, Birgit Ertl-Wagner, Farzad Khalvati:
Predicting pediatric diagnostic imaging patient no-show and extended wait-times using LLMs, regression, and tree based models. - Adriteyo Das, Vedant Agarwal, Nisha P. Shetty:
Comparative analysis of multimodal architectures for effective skin lesion detection using clinical and image data. - Calvin Yeung, Hamza Errahmouni Barkam, Zhuowen Zou, Sanggeon Yun, Nathaniel D. Bastian, Mohsen Imani:
Lipschitz-based robustness estimation for hyperdimensional learning. - P. Valan, Pulidindi Venugopal:
Evaluating a retrieval-augmented pregnancy chatbot: a comprehensibility-accuracy-readability study of the DIAN AI assistant. - Sania Sinha, Aarham Wasit, Won Seob Kim, Jongkyoo Kim, Jiyoon Yi:
Fluorescent marker prediction for non-invasive optical imaging in bovine satellite cells using deep learning. - Pei-Hsuan Chang, Feng-Ching Liao, Yi-Ching Wu, Fang-Ju Sun, Yen-Yu Liu, Hung-I Yeh, Chung-Lieh Hung, Kun-Pin Wu:
Machine learning enhanced acute heart failure phenotype prediction using natural language processing and random forest. - Igor Garcia-Atutxa, José Martínez-Más, Andrés Bueno-Crespo, Francisca Villanueva-Flores:
Early-fusion hybrid CNN-transformer models for multiclass ovarian tumor ultrasound classification. - Xiaoping Chen, Guolong Chen, Zongxin Zheng, Huiming Lu, Yuyi Luo, Lu Man, Mengxiao Jiang:
Explainable machine learning to predict postoperative ileus after radical cystectomy: an 11-year real-world cohort. - Long Li, Yuanhang He, Rui Xu, Bei Chen, Boyu Han, Yuanyuan Zhao, Jianhua Li:
Synchronizing LLM-based semantic knowledge bases via secure federated fine-tuning in semantic communication. - Ei-Wen Yang, Brigette Waldrup, Enrique Velazquez-Villarreal:
Conversational AI agent for precision oncology: AI-HOPE-WNT integrates clinical and genomic data to investigate WNT pathway dysregulation in colorectal cancer. - Sabin Roman, Francesco Bertolotti:
Toward a new AI winter? How diffusion of technological innovation on networks leads to chaotic boom-bust cycles. - Malte Högemann, Jonas Betke, Oliver Thomas:
What you see is not what you get anymore: a mixed-methods approach on human perception of AI-generated images. - Faizan Ahmed, Faseeh Haider, Muhammad Arham, Allah Dad, Kinza Bakht, Muhammad Moseeb Ali Hashim, Pawel Lajczak, Muhammad Hassan, Fatima Binte Athar, Muhammad Adnan, Muhammad Usman, Najam Gohar, Tehmasp Mirza, Mushood Ahmed, Mark Moshiyakhov, Brett Sealove, Swapnil Patel, Jesús Almendral, Mohamed Bakr, Yasar Sattar, Fawaz Alenezi:
Comparative diagnostic accuracy of artificial intelligence-derived risk stratification versus conventional risk stratification methods in pulmonary hypertension patients: a systematic review and meta-analysis. - Rohini Jadhav, Vishal A. Meshram, Amol Bhosle, Kailas Patil, Sital Dash, Shrikant Jadhav:
Explainable multilingual and multimodal fake-news detection: toward robust and trustworthy AI for combating misinformation. - Liwen Liu, Bo Zhou, Qiqin Li, Gui Fu, You Wang, Hongyu Chu:
Parallel joint encoding for drone-view object detection under low-light conditions. - Mohamed El-Moussaoui, Mohamed Hanine, Ali Kartit, Monica Garcia Villar, Helena Garay, Isabel de la Torre Díez:
A systematic review of deep learning methods for community detection in social networks. - Md. Julkar Naeen, Sourav Kumar Das, Sakib Alam Jisan, Sharun Akter Khushbu, Noyon Chandra Saha, Ohidujjaman:
Explainable detection: a transformer-based language modeling approach for Bengali news title classification with comparative explainability analysis using ML and DL. - Senlong Wang, Junchao Ge, Jiantao Zhang, Hong He, Yunwei Zhang:
Image restoration and key field alignment for misaligned overlapping text in secondary printing document images. - Delphine Guedat-Bittighoffer, Abderrazzaq Moufidi, Jean-Marc Dewaele, David Rousseau, Hugo Voyneau, Pejman Rasti:
Heart rates, facial expressions and self-reports: a multimodal longitudinal approach of learners' emotions in the foreign language classroom. - Dong-Lin Chen, Mohd Shafry Mohd Rahim, Hiew Moi Sim, Bin Wang, Si Chen, Min-Song Li:
Human reconstruction using 3D Gaussian Splatting: a brief survey. - Erin Palm, Astrit Manikantan, Herprit Mahal, Srikanth Subramanya Belwadi, Mark E. Pepin:
Assessing the quality of AI-generated clinical notes: validated evaluation of a large language model ambient scribe. - Francis Chukwuebuka Ihenetu, Chinyere Ihuarulam Okoro, Makuochukwu Maryann Ozoude, Emeka H. Okechukwu, Easter Godwin Nwokah:
Comparative analysis of frequentist, Bayesian, and machine learning models for predicting SARS-CoV-2 PCR positivity. - Dang Anh-Hoang, Vu Tran, Le-Minh Nguyen:
Survey and analysis of hallucinations in large language models: attribution to prompting strategies or model behavior. - Rong Huang, Su Tao:
A human-centered automated machine learning agent with large language models for multimodal data management and analysis. - Domingos F. Oliveira, Miguel A. Brito, Duarte J. Brandão:
FMEA based prescriptive model for equipment repair guidance. - Ziyang Yu, Zhijun Wei, Mini Han Wang, Jiazheng Cui, Jiaxiang Tan, Yang Xu:
Quantitative evaluation of meibomian gland dysfunction via deep learning-based infrared image segmentation. - Yuji Nozaki, Chihiro Kamohara, Ryota Abe, Taiki Ieda, Madoka Nakajima, Maki Sakamoto:
Machine learning-based detection of cognitive decline using SSWTRT: classification performance and decision analysis. - Madhur Mangalam:
Breaking the gatekeepers: how AI will revolutionize scientific funding. - Upendo Mwaibale, Neema Mduma, Hudson Laizer, Bonny Mgawe:
Enhancing detection of common bean diseases using Fast Gradient Sign Method-trained Vision Transformers. - Haya H. Tarawneh, Niveen Z. Halalsheh, Bahjat Abu Sulaiman, Huda A. Alhajjaj, Nesreen N. Atieh:
Correction: Artificial intelligence as a tool to enhance social interventions in reducing crime. - Kasra Borazjani, Naji Khosravan, Rajeev Sahay, Bita Akram, Seyyedali Hosseinalipour:
Bringing multi-modal multi-task federated foundation models to education domain: prospects and challenges. - Bledar Fazlija, Ismet Bakiji, Visar Dauti:
FinFakeBERT: financial fake news detection. - David Herrera-Poyatos, Carlos Peláez-González, Cristina Zuheros, Andrés Herrera-Poyatos, Virilo Tejedor, Francisco Herrera, Rosana Montes:
An overview of model uncertainty and variability in LLM-based sentiment analysis: challenges, mitigation strategies, and the role of explainability. - Zhenxing Zhu, Jun Xie, Longxin Zhou, Chaoran Yang, Feng Li:
Evaluation of the accuracy and repeatability of Deepseek V3, Doubao, and Kimi1.5 in answering knowledge-related queries about chronic non-bacterial osteitis. - Willy Gonzales, Zindel Cordero, Carlos D. Abanto-Ramírez, Edgar Tito Susanibar Ramírez, Hasnain Iftikhar, Javier Linkolk López-Gonzales:
A hybrid AI approach for predicting academic performance in RBE students. - David Casacuberta, Ariel Guersenzvaig:
Disembodied creativity in generative AI: prima facie challenges and limitations of prompting in creative practice. - Yanlong Cao, Zhijie Xu, Wenhan Zeng, Yuanping Xu:
Editorial: Artificial intelligence in visual inspection. - Matti Rachamim, Jacob Hornik:
Digital twin-enabled interactive cockpits for smart products management and testing. - Shadi Abudalfa, Motaz Saad, Samhaa El-Beltagy:
Editorial: Emerging techniques in Arabic natural language processing. - Haoqi Wu, Min Zhang, Hailing Wang, Xiaoyan Jiang, Yongbin Gao, Rong Huang, Zhijun Fang, Xiaojun Hu, Yingfang Fan:
A Chinese question and answer system for liver cancer based on knowledge graph and large language mode. - Aakanksha Jadhav, Vishal Mirza:
Large Language Models in equity markets: applications, techniques, and insights. - Mathis Immertreu, Achim Schilling, Andreas K. Maier, Patrick Krauss:
Probing for consciousness in machines. - Christine Malin, Jürgen Fleiß, Renate Ortlieb, Stefan Thalmann:
Rejected by an AI? Comparing job applicants' fairness perceptions of artificial intelligence and humans in personnel selection. - Hadi Khalilia, Jahna Otterbacher, Gábor Bella, Shandy Darma, Fausto Giunchiglia:
Crowdsourcing lexical diversity. - Mohammed Mustafa, Sarah M. Eljack Babiker, Yasir Eltigani Ali Mustafa:
Hybrid recurrent with spiking neural network model for enhanced anomaly prediction in IoT networks security. - Johannes Schrank:
The impact of artificial intelligence on behavioral intentions to use mobile banking in the post-COVID-19 era. - Xiaoyu Zhang, Hongwei Huang, Xiting Peng, Xiaoling Zhang, Lexi Xu, Yang Yang:
StaBle-MambaNet: structure-aware and blur-guided lane detection with Mamba. - Bathandekile M. Boshoma, Solomon Oluwole Akinola, Peter O. Olukanmi:
Classification prediction of load losses in power stations using machine learning multilayer stack ensemble. - Shenghan Zhang, Sirui Ding, Zidu Xu, Jiancheng Ye:
Machine learning-based mortality prediction in critically ill patients with hypertension: comparative analysis, fairness, and interpretability. - Maliki Moustapha, Murat Tasyurek, Celal Öztürk:
Enhancing COVID-19 classification of X-ray images with hybrid deep transfer learning models. - Kehao Mao, Baokun Hu, Ruixin Lin, Zewen Li, Guanyu Lu, Zhengyu Zhang:
Blueprint2Code: a multi-agent pipeline for reliable code generation via blueprint planning and repair. - Wudneh Ketema Moges, Awoke Seyoum Tegegne, Aweke A. Mitku, Esubalew Tesfahun, Solomon Hailemeskel:
Deep learning for causal inference using low birth weight in midwife-led continuity care intervention in north Shoa zone, Ethiopia. - Mafura Uandykova, Tolkyn Mirkassimova, Gulnar Mukhamejanova, Assel Yeleukulova, Akhmed Baikhojayev, Gulnar Astaubayeva:
Digital model for monitoring national programs: the Kazakhstan experience. - Sean Berry, Berk Görgülü, Sait Tunç, Mucahit Cevik:
Predicting offer burden to optimize batch sizes in simultaneously expiring kidney offers. - Siddhartha Bhattacharya, Aarham Wasit, J. Mason Earles, Nitin Nitin, Jiyoon Yi:
Enhancing AI microscopy for foodborne bacterial classification using adversarial domain adaptation to address optical and biological variability. - Yifan Gao, Zakariyya Mughal, Jose A. Jaramillo-Villegas, Marie Corradi, Alexandre Borrel, Ben Lieberman, Suliman Sharif, John Shaffer, Karamarie Fecho, Ajay Chatrath, Alexandra Maertens, Marc A. T. Teunis, Nicole C. Kleinstreuer, Thomas Hartung, Thomas Luechtefeld:
BioBricks.ai: a versioned data registry for life sciences data assets. - Chunyan Li:
AI alignment is all your need for future drug discovery. - James Andrew Henry:
Population health management of human phenotype ontology. - Dylan Parry, Brennon Henderson, Paul Gaschen, Diane Ghanem, Evan Hernandez, Anceslo Idicula, Tammam Hanna, Brendan Mackay:
The implementation of artificial intelligence in upper extremity surgery: a systematic review. - K. Kalpanarani, G. Hannah Grace:
SMCFO: a novel cuttlefish optimization algorithm enhanced by simplex method for data clustering. - Muhammad Hasnain, Khursheed Aurangzeb, Musaed A. Alhussein, Imran Ghani, Muhammad Hamza Mahmood:
AI in conjunctivitis research: assessing ChatGPT and DeepSeek for etiology, intervention, and citation integrity via hallucination rate analysis. - Zhongtao Xie, Yisong Wang, Lei Yang, Renyan Feng:
Minimal reduct for propositional circumscription. - James O'Sullivan, Freddy Jackson Brown, Oliver Ray:
Elucidating simulated equivalence responding through dynamic visualization of structural connectivity and relational density. - Indranil Ghosh, Tamal Datta Chaudhuri, Golnoosh Babaei, Paolo Giudici, Emanuela Raffinetti:
Predicting BRICS NIFTY50 returns using XAI and S.A.F.E AI lens. - Ndivhuwo Netshamutshedzi, Rendani Netshikweta, Jean Claude Ndogmo, Ibidun Christiana Obagbuwa:
A systematic review of the hybrid machine learning models for brain tumour segmentation and detection in medical images. - Diego A. Silva, Ahmed Elsheikh, Kamilya Smagulova, Mohammed E. Fouda, Ahmed M. Eltawil:
Chimera: a block-based neural architecture search framework for event-based object detection. - Xiting Peng, Jinyan Liang, Xiaoyu Zhang, Haibo Yang, Weimin Lei:
Adaptive enhancements of autonomous lane keeping via advanced PER-TD3 framework. - Edoardo Pinzuti, Oliver Tüscher, André Ferreira Castro:
Comparative performance of large language models in emotional safety classification across sizes and tasks. - Soham Ghosh, Gaurav Mittal:
Advancing engineering research through context-aware and knowledge graph-based retrieval-augmented generation. - Annika Meyer, Edgar Schömig, Thomas Streichert:
ChatGPT and reference intervals: a comparative analysis of repeatability in GPT-3.5 Turbo, GPT-4, and GPT-4o. - James Andrew Henry:
Global reform population health management as stewarded by Higher Expert Medical Science Safety (HEMSS). - Taisei Kanda, Mingzhe Jin, Wataru Zaitsu:
Integrated ensemble of BERT- and feature-based models for authorship attribution in Japanese literary works. - S. Premanand, Sathiya Narayanan:
BlendNet: a blending-based convolutional neural network for effective deep learning of electrocardiogram signals. - José Eduardo Rosseto Garotti, Danielli Souza Speciali, Raymundo Machado de Azevedo Neto, Patricia Maria de Carvalho Aguiar, Rodrigo Barbosa Thomaz, Tiago Abrão Setrak Sowmy, Guilherme Carlos Brech, Paulo Rodrigo Bazán, Elisa Harumi Kozasa:
Classification of patients with early-stage multiple sclerosis and healthy controls using kinematic analysis during a dual-task. - Ivan P. Malashin, Igor S. Masich, Vadim Sergeevich Tynchenko, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksei S. Borodulin:
Minimizing unnecessary tax audits using multi-objective hyperparameter tuning of XGBoost with focal loss. - Qinhong Wang, Yiming Shen, Husheng Dong:
Hypergraph-based contrastive learning for enhanced fraud detection. - Md. Ehsanul Haque, Md. Nurul Absur, Fahmid Al Farid, Jia Uddin, Hezerul Abdul Karim:
A novel interpretable and real-time dengue prediction framework using clinical blood parameters with genetic and GAN-based optimization. - Matthew Sheehan, Oleg A. Yakimenko:
Neural architecture search applying optimal stopping theory. - Neil Chaudhary, A. Zaynah Dhunny:
An artificial intelligence model for early-stage breast cancer classification from histopathological biopsy images. - Shengjie Wang, Jian Wang, Rui Yin:
YOLOv10-based detection of melanocytic nevi: reverse exclusion optimization for melanoma screening. - Sidra Hameed, Muhammad Nauman, Nadeem Akhtar, Muhammad A. B. Fayyaz, Raheel Nawaz:
Explainable AI-driven depression detection from social media using natural language processing and black box machine learning models. - Yan Cong, Jiyeon Lee:
Tracking priming-induced language recovery in aphasia with pre-trained language models. - Xinxin Zhang, Sen Wang, Tianpei Li, Shuangcheng Sun:
Study on the impact of digital countryside construction on fostering sports industry development: based on the moderating role of market-oriented factor allocation and the mediating role of rural consumption upgrade. - Jiapeng Yao, Lantian Zhang, Jiping Huang:
Evaluation of large language model-driven AutoML in data and model management from human-centered perspective. - Hooayda Allwaibed, Mohammed Anbar, Selvakumar Manickam, Annisa Bintang:
Cyberbullying detection approaches for Arabic texts: a systematic literature review. - Fenna Sillé, Thomas Hartung:
AI: the Apollo guidance computer of the Exposome moonshot. - Diala Haykal, George Kroumpouzos:
Detecting body dysmorphic disorder in the age of algorithms. - Hinduja Nirujan, Y. H. P. P. Priyadarshana:
EmoShiftNet: a shift-aware multi-task learning framework with fusion strategies for emotion recognition in multi-party conversations. - Zhigao Huang, Musheng Chen, Shiyan Zheng:
Spectral momentum integration: hybrid optimization of frequency and time domain gradients. - Cuijie Zhao, Yan Xu, Ruixing Li, Huawei Li, Meng Zhang:
Artificial intelligence in ADHD assessment: a comprehensive review of research progress from early screening to precise differential diagnosis. - Isabel Nieto-Alvarez, Erik Bojorges-Valdez, Elvira Lang, Mohammadreza Ranaei Sharif, Göran Köber, Nicolas Rohleder, Oliver Amft:
Patient-centered modeling of the breast biopsy experience. - Ahmad M. Nazar, Mohamed Y. Selim, Ashraf Gaffar, Daji Qiao:
Situational perception in distracted driving: an agentic multi-modal LLM framework. - Alessia Paccagnini, Maria Iannario, Jörg Osterrieder, Adamaria Perrotta, Fabio Parla, Hanna Kristín Skaftadottir:
Editorial: Applications of AI and machine learning in finance and economics. - Flavio Manganello, Alberto Nico, Martina Ragusa, Giannangelo Boccuzzi:
Testing the applicability of a governance checklist for high-risk AI-based learning outcome assessment in Italian universities under the EU AI act annex III. - Soofi Shafiya, Mudasir Ahmad Wani, Suraiya Jabin, Mohammed Ahmed El-Affendi, Jahiruddin:
CoViNAR: a context-aware social media dataset for pandemic severity level prediction and analysis. - Ravindu Perera, Anuradha Basnayake, Manjusri Wickramasinghe:
Auto-scaling LLM-based multi-agent systems through dynamic integration of agents. - Sriram Ravichandran, Nandan Sudarsanam, Balaraman Ravindran, Konstantinos V. Katsikopoulos:
A drop-out mechanism for active learning based on one-attribute heuristics. - Sifiso Vilakati:
Prompt engineering for accurate statistical reasoning with large language models in medical research. - Jonathan Adkins, Ali Al Bataineh, Anthos Khanal:
A psycholinguistic NLP framework for forensic text analysis of deception and emotion. - YiChi Zhang, Xiaojun Hu, Hailing Wang, Ke Liu, Yongbin Gao, Xiaoyan Jiang, YingFang Fan, Zhijun Fang:
Liver cancer knowledge graph construction based on dynamic entity replacement and masking strategies RoBERTa-wwm-large-BiLSTM-CRF model with clinical Chinese EMRs. - Mohammadreza Nehzati:
A quantum-inspired, biomimetic, and fractal framework for self-healing AI code generation: bridging responsible automation and emergent intelligence. - Minyi Cao, Derun Kong, Guoying Zhu, Zhongwen Chen:
A hybrid deep learning framework for SEM-based air pollutant analysis: Mamba integration and GAN-augmented training. - Christian R. Klein, Reinhard Klein:
The extended hollowed mind: why foundational knowledge is indispensable in the age of AI. - Laura Baitenova, Saule Tussupova, Saken Mambetov, Gauhar Munaitbas, Gulnar Mukhamejanova:
Hybrid artificial intelligence architectures for automatic text correction in the Kazakh language. - Ruoting Li, Sait Tunç, Osman Y. Özaltin, Matthew J. Ellis:
Improving deceased donor kidney utilization: predicting risk of nonuse with interpretable models. - Haibo Chen, Bangcheng Yang, Fucun He, Fei Zhou, Shuai Chen, Chunpeng Wu, Fan Li, Yansong Chua:
Effective methods and framework for energy-based local learning of deep neural networks. - N. Sivaranjani, Jayaraj Jayabharathy:
Legal Logit Model for predicting judicial disagreement in Indian courts. - Florian Berghea, Elena Camelia Berghea, Cristina Octaviana Daia, Diana Ciuc, Gabi Valeriu Dinca:
In the search for the perfect prompt in medical AI queries. - Dmitrii Pantiukhin, Boris Shapkin, Ivan Kuznetsov, Antonia Anna Jost, Nikolay Koldunov:
Accelerating earth science discovery via multi-agent LLM systems. - Asem Omari, Omaia Al-Omari, Tariq Al-Omari, Suliman Mohamed Fati:
A predictive analytics approach to improve telecom's customer retention. - Jose Arriola-Montenegro, Charat Thongprayoon, Benjamin Bizer, Jing Miao, Karina Ordaya-Gonzales, Iasmina M. Craici, Wisit Cheungpasitporn:
A deterministic large language model (LLM) framework for safe, protocol-adherent clinical decision support: application in hemodialysis anemia management (AnemiaCare HDs).
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