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ORCIDFrontiers in Artificial Intelligence, Volume 7
Volume 7, 2024
- Julio Cesar Cavalcanti, Ronaldo Rodrigues da Silva, Anders Eriksson, Plínio A. Barbosa:
Exploring the performance of automatic speaker recognition using twin speech and deep learning-based artificial neural networks. - Dorian Quelle, Alexandre Bovet
:
The perils and promises of fact-checking with large language models. - Sebastian Proksch, Julia Schühle, Elisabeth Streeb, Finn Weymann, Teresa Luther, Joachim Kimmerle:
The impact of text topic and assumed human vs. AI authorship on competence and quality assessment. - Roselyn Gabud, Portia Lapitan, Vladimir Y. Mariano, Eduardo Mendoza, Nelson Pampolina, Maria Art Antonette D. Clariño, Riza Batista-Navarro:
Unsupervised literature mining approaches for extracting relationships pertaining to habitats and reproductive conditions of plant species. - Jiangfeng Liu, Zhixiao Zhao, Na Wu, Xiyu Wang:
Research on the structure function recognition of PLOS. - Anna Omarini:
Editorial: Financial intermediation versus disintermediation: opportunities and challenges in the FinTech era, volume II. - Emmanuelle Dietz, Antonis C. Kakas, Loizos Michael:
Editorial: Computational argumentation: a foundation for human-centric AI. - Carlos-Francisco Méndez-Cruz, Joel Rodríguez-Herrera, Alfredo Varela-Vega, Valeria Mateo-Estrada, Santiago Castillo-Ramírez:
Unsupervised learning and natural language processing highlight research trends in a superbug. - Thomas Haipeter, Manfred Wannöffel, Jan-Torge Daus, Sandra Schaffarczik:
Human-centered AI through employee participation. - Wenbo Zhao, Ling Fan:
Time-series representation learning via Time-Frequency Fusion Contrasting. - Thilagavathi Ramamoorthy, Vaitheeswaran Kulothungan, Bagavandas Mappillairaju:
Topic modeling and social network analysis approach to explore diabetes discourse on Twitter in India. - Kristina Sutiene, Peter Schwendner, Ciprian Sipos, Luis Lorenzo, Miroslav Mirchev, Petre Lameski, Audrius Kabasinskas, Chemseddine Tidjani, Belma Ozturkkal, Jurgita Cerneviciene:
Enhancing portfolio management using artificial intelligence: literature review. - Anis Charfi, Mabrouka Besghaier, Raghda Akasheh, Andria Atalla, Wajdi Zaghouani:
Hate speech detection with ADHAR: a multi-dialectal hate speech corpus in Arabic. - Hope Orovwode, Oduntan Ibukun, John Amanesi Abubakar:
A machine learning-driven web application for sign language learning. - Minjun Chen, Yue Wu, Byron Wingerd, Zhichao Liu, Joshua Xu, Shraddha Thakkar, Thomas J. Pedersen, Tom Donnelly, Nicholas Mann, Weida Tong, Russell D. Wolfinger, Wenjun Bao:
Automatic text classification of drug-induced liver injury using document-term matrix and XGBoost. - Pijun Hou, Yuepeng Wang, Ziming Shi, Pan Zheng:
An improved Dijkstra cross-plane image encryption algorithm based on a chaotic system. - Abdulrahman Mohamed Selim, Michael Barz, Omair Shahzad Bhatti, Hasan Md Tusfiqur Alam, Daniel Sonntag:
A review of machine learning in scanpath analysis for passive gaze-based interaction. - Fabian Hinder, Valerie Vaquet, Barbara Hammer:
One or two things we know about concept drift - a survey on monitoring in evolving environments. Part A: detecting concept drift. - Chidiebere Somadina Ike, Muhammad Nazeer, Nargis Bibi, Samah Alhazmi, Furey Eoghan:
Discriminative context-aware network for camouflaged object detection. - Giovanna A. Castro, Jade M. Almeida, João A. Machado-Neto, Tiago A. Almeida:
A decision support system to recommend appropriate therapy protocol for AML patients. - Michal J. Winnicki, Chase A. Brown, Hunter Porter, Cory B. Giles, Jonathan D. Wren:
BioVDB: biological vector database for high-throughput gene expression meta-analysis. - Edgar Dubourg, Valentin Thouzeau, Nicolas Baumard:
A step-by-step method for cultural annotation by LLMs. - Max Bauroth, Pavlos Rath-Manakidis, Valentin Langholf, Laurenz Wiskott, Tobias Glasmachers:
tachAId - An interactive tool supporting the design of human-centered AI solutions. - Seyed-Ali Sadegh-Zadeh, Alireza Soleimani Mamalo, Kaveh Kavianpour, Hamed Atashbar, Elham Heidari, Reza Hajizadeh, Amir Sam Roshani, Shima Habibzadeh, Shayan Saadat, Majid Behmanesh, Mozafar Saadat, Sahar Sayyadi Gargari:
Artificial intelligence approaches for tinnitus diagnosis: leveraging high-frequency audiometry data for enhanced clinical predictions. - Mahdi-Reza Borna, Mohammad Mehdi Sepehri, Pejman Shadpour, Farhood Khaleghi Mehr:
Enhancing bladder cancer diagnosis through transitional cell carcinoma polyp detection and segmentation: an artificial intelligence powered deep learning solution. - Yehuda Nissenbaum, Amichai Painsky:
Cross-validated tree-based models for multi-target learning. - Saad Bin Saeed Ahmed, Shahzaib Naeem, Agha Muhammad Hammad Khan, Bilal Mazhar Qureshi, Amjad Hussain, Bulent Aydogan, Wazir Muhammad:
Artificial neural network-assisted prediction of radiobiological indices in head and neck cancer. - Stefano Triberti, Raffaele Di Fuccio, Chiara Scuotto, Emanuele Marsico, Pierpaolo Limone:
"Better than my professor?" How to develop artificial intelligence tools for higher education. - Sushant Agarwal, Sanjay Saxena, Alessandro Carriero, Gian Luca Chabert, Gobinath Ravindran, Sudip Paul, John R. Laird, Deepak Garg, Mostafa Fatemi, Lopamudra Mohanty, Arun Kumar Dubey, Rajesh Singh, Mostafa M. Fouda, Narpinder Singh, Subbaram Naidu, Klaudija Viskovic, Melita Kukuljan, Manudeep K. Kalra, Luca Saba, Jasjit S. Suri:
COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography. - T. Nitya Harshitha, M. Prabu, E. Suganya, S. Sountharrajan, Durga Prasad Bavirisetti, Navya Gadde, Lakshmi Sahithi Uppu:
ProTect: a hybrid deep learning model for proactive detection of cyberbullying on social media. - Gregoris Mentzas, Karl Hribernik, Johan Stahre, David Romero, John Soldatos:
Editorial: Human-Centered Artificial Intelligence in Industry 5.0. - Kalle Karlsson, Fisnik Dalipi:
Exploring the surveillance technology discourse: a bibliometric analysis and topic modeling approach. - Dalei Zhang, Wee Hoe Tan, Yuanyuan Wei, Chung Keat Tan:
DCM2Net: an improved face recognition model for panoramic stereoscopic videos. - Nataliya Tkachenko, Simon Frieder, Ryan-Rhys Griffiths, Christoph Nedopil:
Analyzing global utilization and missed opportunities in debt-for-nature swaps with generative AI. - Zakaria A. Al-Tarawneh, Maite Pena-Cristóbal, Eva Cernadas, José Manuel Suarez-Peñaranda, Manuel Fernández-Delgado, Almoutaz Mbaidin, Mercedes Gallas-Torreira, Pilar Gándara-Vila:
OralImmunoAnalyser: a software tool for immunohistochemical assessment of oral leukoplakia using image segmentation and classification models. - Ashraf Ahmad, Mohammad Azzeh, Eman Al Nagi, Qasem Abu Al-Haija, Dana Halabi, Abdullah Aref, Yousef S. Abu Hour:
Hate speech detection in the Arabic language: corpus design, construction, and evaluation. - Zhewei Zhang, Chunhai Ke, Zhibin Zhang, Yujiong Chen, Hangbin Weng, Jieyang Dong, Mingming Hao, Botao Liu, Minzhe Zheng, Jin Li, Shaohua Ding, Yihong Dong, Zhaoxiang Peng:
Re-tear after arthroscopic rotator cuff repair can be predicted using deep learning algorithm. - Sebastião Quintas, Robin Vaysse, Mathieu Balaguer, Vincent Roger, Julie Mauclair, Jérôme Farinas, Virginie Woisard, Julien Pinquier:
SAMI: an M-Health application to telemonitor intelligibility and speech disorder severity in head and neck cancers. - Zhonglin Ye, Zhuoran Li, Gege Li, Haixing Zhao:
Dual-channel deep graph convolutional neural networks. - Saleena Younus, Lars Rönnstrand, Julhash U. Kazi:
Xputer: bridging data gaps with NMF, XGBoost, and a streamlined GUI experience. - Farheen Chincholi, Harald Köstler:
Transforming glaucoma diagnosis: transformers at the forefront. - Peter Schwendner, Jan-Alexander Posth:
Editorial: Trends in AI4ESG: AI for sustainable finance and ESG technology. - Silvia Marocco, Alessandra Talamo, Francesca Quintiliani:
From service design thinking to the third generation of activity theory: a new model for designing AI-based decision-support systems. - Aleksandr Raikov, Alberto Giretti, Massimiliano Pirani, Luca Spalazzi, Meng Guo:
Accelerating human-computer interaction through convergent conditions for LLM explanation. - Nicola Lettieri, Alessandro Pluchino:
Editorial: Hammer or telescope? Challenges and opportunities of science-oriented AI in legal and sociolegal research. - Mahdi-Reza Borna, Mohammad Mehdi Sepehri, Behnam Maleki:
An artificial intelligence algorithm to select most viable embryos considering current process in IVF labs. - Erick Velasquez, Nastya Kassir, Sravanthi Cheeti, Denison Kuruvilla, Rucha Sane, Steve Dang, Dale Miles, James Lu:
Predicting overall survival from tumor dynamics metrics using parametric statistical and machine learning models: application to patients with RET-altered solid tumors. - Alejandro Hernández-Cano, Yang Ni, Zhuowen Zou, Ali Zakeri, Mohsen Imani:
Hyperdimensional computing with holographic and adaptive encoder. - Maria Grazia Maggio, Gennaro Tartarisco, Davide Cardile, Mirjam Bonanno, Roberta Bruschetta, Loris Pignolo, Giovanni Pioggia, Rocco Salvatore Calabrò, Antonio Cerasa:
Exploring ChatGPT's potential in the clinical stream of neurorehabilitation. - Matthew B. Bird, Megan H. Roach, Roberts G. Nelson, Matthew S. Helton, Timothy C. Mauntel:
A machine learning framework to classify musculoskeletal injury risk groups in military service members. - Seyed-Ali Sadegh-Zadeh, Mahshid Bagheri, Mozafar Saadat:
Decoding children dental health risks: a machine learning approach to identifying key influencing factors. - Fatiha Limami, Boutaina Hdioud, Rachid Oulad Haj Thami:
Contextual emotion detection in images using deep learning. - Frederic D. Jordan, Martin Kutter, Jean-Marc Comby, Flora Brozzi, Ewelina Kurtys:
Open and remotely accessible Neuroplatform for research in wetware computing. - Mikhail Semin, Denis Kormshchikov:
Application of artificial intelligence in mine ventilation: a brief review. - Rashmi Chapke, Shruti Mondkar, Chirantap Oza, Vaman Khadilkar, Tim R. J. Aeppli, Lars Sävendahl, Neha Kajale, Dipali Ladkat, Anuradha Khadilkar, Pranay Goel:
The automated Greulich and Pyle: a coming-of-age for segmental methods? - Max Tretter:
Equipping AI-decision-support-systems with emotional capabilities? Ethical perspectives. - Nitasha Khan, Muhammad Amir Raza, Nayyar Hussain Mirjat, Neelam Balouch, Ghulam Abbas, Amr H. Yousef, Ezzeddine Touti:
Corrigendum: Unveiling the predictive power: a comprehensive study of machine learning model for anticipating chronic kidney disease. - Samuel Kernan Freire, Chaofan Wang, Mina Foosherian, Stefan Wellsandt, Santiago Ruiz-Arenas, Evangelos Niforatos:
Knowledge sharing in manufacturing using LLM-powered tools: user study and model benchmarking. - Annette Kluge, Uta Wilkens, Verena Nitsch, Corinna Peifer:
Editorial: Human-centered AI at work: common ground in theories and methods. - Zhenzhen Liu, Jin Peng Zhou, Kilian Q. Weinberger:
Leveraging diffusion models for unsupervised out-of-distribution detection on image manifold. - Alexander Broll, Martin Rosentritt, Thomas Schlegl, Markus Goldhacker:
A data-driven approach for the partial reconstruction of individual human molar teeth using generative deep learning. - Qingqing Huo, Jing Ruan, Yan Cui:
"Machine replacement" or "job creation": How does artificial intelligence impact employment patterns in China's manufacturing industry? - Lan He, Zekun Yang, Yudong Wang, Weidao Chen, Le Diao, Yitong Wang, Wei Yuan, Xu Li, Ying Zhang, Yongming He, E. Shen:
A deep learning algorithm to identify carotid plaques and assess their stability. - Abid Mahboob, Zafar Ullah, Ali Ovais, Muhammad Waheed Rasheed, S. A. Edalatpanah, Kainat Yasin:
A MAGDM approach for evaluating the impact of artificial intelligence on education using 2-tuple linguistic q-rung orthopair fuzzy sets and Schweizer-Sklar weighted power average operator. - Eike Bolmer, Adili Abulaitijiang, Jürgen Kusche, Ribana Roscher:
Estimating daily semantic segmentation maps of classified ocean eddies using sea level anomaly data from along-track altimetry. - Cristobal Rodolfo Guerra-Tamez, Keila Kraul Flores, Gabriela Mariah Serna-Mendiburu, David Chavelas Robles, Jorge Ibarra Cortés:
Decoding Gen Z: AI's influence on brand trust and purchasing behavior. - Alexander J. Didier, Anthony Nigro, Zaid Noori, Mohamed A. Omballi, Scott M. Pappada, Danae M. Hamouda:
Application of machine learning for lung cancer survival prognostication - A systematic review and meta-analysis. - Jacobo Roda-Segarra, Santiago Mengual-Andres, Andrés Payà Rico:
Analysis of social metrics on scientific production in the field of emotion-aware education through artificial intelligence. - Francesco Monaco, Annarita Vignapiano, Martina Piacente, Federica Farina, Claudio Pagano, Alessandra Marenna, Stefano Leo, Corrado Vecchi, Carlo Mancuso, Vincenzo Prisco, Davide Iodice, Annarosaria Auricchio, Roberto Cavaliere, Amelia D'Agosto, Michele Fornaro, Marco Solmi, Giulio Corrivetti, Alessio Fasano:
Innova4Health: an integrated approach for prevention of recurrence and personalized treatment of Major Depressive Disorder. - Raheleh Talebi, Carlos A. Celis-Morales, Abolfazl Akbari, Atefeh Talebi, Nasrin Borumandnia, Mohamad Amin Pourhoseingholi:
Machine learning-based classifiers to predict metastasis in colorectal cancer patients. - Muhammad Awais, Riaz Ahmad, Nabeela Kausar, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Anum Masood:
ALL classification using neural ensemble and memetic deep feature optimization. - William B. Weeks, Juan M. Lavista Ferres, James N. Weinstein:
Artificial intelligence: promise and peril in achieving the quadruple aim in healthcare. - Mohammed Hammoud, Melaku N. Getahun, Anna Baldycheva, Andrey Somov:
Machine learning-based infant crying interpretation. - Sabine Wehnert, Praneeth Chedella, Jonas Asche, Ernesto William De Luca:
A dynamic approach for visualizing and exploring concept hierarchies from textbooks. - Erich Robbi, Marco Bronzini, Paolo Viappiani, Andrea Passerini:
Personalized bundle recommendation using preference elicitation and the Choquet integral. - Marta Oliveira, Rick Wilming, Benedict Clark, Céline Budding, Fabian Eitel, Kerstin Ritter, Stefan Haufe:
Benchmarking the influence of pre-training on explanation performance in MR image classification. - Hangbok Lee, Minjae Cho, Hyuk-Yoon Kwon:
Attention-based speech feature transfer between speakers. - Nazhir Amaya-Tejera, Margarita Gamarra, Jorge I. Vélez, Eduardo E. Zurek:
A distance-based kernel for classification via Support Vector Machines. - Rajkiran Deshpande:
Smart match: revolutionizing organ allocation through artificial intelligence. - Guillaume Grelier, Miguel A. Casal, Alvaro Torrente-Patiño, Juan Romero:
Image sequence sorting algorithm for commercial tasks. - Shweta Kharya, Sunita Soni, Abhilash Pati, Amrutanshu Panigrahi, Jayant P. Giri, Hong Qin, Saurav Mallik, Debasish Swapnesh Kumar Nayak, Tripti Swarnkar:
Weighted Bayesian Belief Network for diabetics: a predictive model. - Ali Ahmad, Anderson X. W. Liew, Francesca Venturini, Athanasios P. Kalogeras, Alessandro Candiani, Giacomo Di Benedetto, Segun Ajibola, Pedro Cartujo, Pablo Romero, Aspasia Lykoudi, Michelangelo Mastrorocco De Grandis, Christos Xouris, Riccardo Lo Bianco, Irawan Doddy, Isa Elegbede, Giuseppe Falvo D'Urso Labate, Luis F. García del Moral, Vanessa Martos:
AI can empower agriculture for global food security: challenges and prospects in developing nations. - Jiaojiao Chen, Haiyang Hu, Jianping Yang:
Plant leaf disease recognition based on improved SinGAN and improved ResNet34. - Ekkehard Ernst, Janine Berg, Phoebe V. Moore:
Editorial: Artificial intelligence and the future of work: humans in control. - Olga Scrivner, Thuy Nguyen, Michael Ginda, Kosali Simon, Katy Börner:
Interactive network visualization of opioid crisis research: a tool for reinforcing data linkage skills for public health policy researchers. - Muhammad Waheed Rasheed, Abid Mahboob, Anfal Nabeel Mustafa, Israa Badi, Zainab Abdulkhaleq Ahmed Ali, Zainb H. Feza:
Enhancing breast cancer treatment selection through 2TLIVq-ROFS-based multi-attribute group decision making. - Petar Radanliev, Omar Santos, Alistair Brandon-Jones, Adam Joinson:
Ethics and responsible AI deployment. - Geetha Pratyusha Miriyala, Arun Kumar Sinha:
PSO-XnB: a proposed model for predicting hospital stay of CAD patients. - Richard W. Puyt, Dag Øivind Madsen:
Evaluating ChatGPT-4's historical accuracy: a case study on the origins of SWOT analysis. - Henry Kyalo, Henri E. Z. Tonnang, James P. Egonyu, John Olukuru, Chrysantus M. Tanga, Kennedy Senagi:
A convolutional neural network with image and numerical data to improve farming of edible crickets as a source of food - A decision support system. - Swastik Kumar Sahu, Kaushik Mazumdar:
Exploring security threats and solutions Techniques for Internet of Things (IoT): from vulnerabilities to vigilance. - Christopher Brown, Michael Spannowsky, Alexander Tapper, Simon Williams, Ioannis Xiotidis:
Quantum pathways for charged track finding in high-energy collisions. - Yue Zheng, Xu Sun, Baijie Feng, Kai Kang, Yuqi Yang, Ailin Zhao, Yijun Wu:
Rare and complex diseases in focus: ChatGPT's role in improving diagnosis and treatment. - Alice Bizzarri, Michele Fraccaroli, Evelina Lamma, Fabrizio Riguzzi:
Integration between constrained optimization and deep networks: a survey. - Renan Chaves de Lima, Lucas Sinclair, Ricardo Megger, Magno Alessandro Guedes Maciel, Pedro Fernando da Costa Vasconcelos, Juarez Antônio Simões Quaresma:
Artificial intelligence challenges in the face of biological threats: emerging catastrophic risks for public health. - Jody Gall, Christopher J. Stanton:
Low-rank human-like agents are trusted more and blamed less in human-autonomy teaming. - Chanatip Saetia, Areeya Thonglong, Thanpitcha Amornchaiteera, Tawunrat Chalothorn, Supawat Taerungruang, Pakpoom Buabthong:
Streamlining event extraction with a simplified annotation framework. - Philip Ehnert, Julian Schröter:
Key point generation as an instrument for generating core statements of a political debate on Twitter. - Xukang Wang, Ying Cheng Wu, Xueliang Ji, Hongpeng Fu:
Algorithmic discrimination: examining its types and regulatory measures with emphasis on US legal practices. - Khansa Chemnad, Achraf Othman:
Digital accessibility in the era of artificial intelligence - Bibliometric analysis and systematic review. - Hezi Roda, Amir B. Geva:
Semi-supervised active learning using convolutional auto- encoder and contrastive learning. - Tyler Procko, Timothy Elvira, Omar Ochoa:
Dawn of the dialogue: AI's leap from lab to living room. - Beibei Xu, Yifan Mao, Wensheng Wang, Guipeng Chen:
Intelligent weight prediction of cows based on semantic segmentation and back propagation neural network. - Raissa Souza, Emma A. M. Stanley, Milton Camacho, Richard Camicioli, Oury Monchi, Zahinoor Ismail, Matthias Wilms, Nils D. Forkert:
A multi-center distributed learning approach for Parkinson's disease classification using the traveling model paradigm. - Farid Al Zoubi, Koorosh Kashanian, Paul E. Beaulé, Pascal Fallavollita:
First deployment of artificial intelligence recommendations in orthopedic surgery. - Vatsala Anand, Deepika Koundal, Wael Y. Alghamdi, Bayan M. Alsharbi:
Smart grading of diabetic retinopathy: an intelligent recommendation-based fine-tuned EfficientNetB0 framework. - Nikolai Nowaczyk, Sharyn O'Halloran:
Computing the impact of central clearing on systemic risk. - Sonia Jahangiri, Masoud Abdollahi, Ehsan Rashedi, Nasibeh Azadeh-Fard:
A machine learning model to predict heart failure readmission: toward optimal feature set. - Elize Herrewijnen, Dong Nguyen, Floris Bex, Kees van Deemter:
Human-annotated rationales and explainable text classification: a survey. - Arianna Agosto, Paolo Giudici, Alessandra Tanda:
Statistical learning models to measure the impact of COVID-19 on financial fragility. - Dayan Liu, Tao Song, Kang Na, Shudong Wang:
PED: a novel predictor-encoder-decoder model for Alzheimer drug molecular generation. - Ekamjit S. Deol, Matthew K. Tollefson, Alenka Antolin, Maya Zohar, Omri Bar, Danielle Ben-Ayoun, Lance A. Mynderse, Derek J. Lomas, Ross A. Avant, Adam R. Miller, Daniel S. Elliott, Stephen A. Boorjian, Tamir Wolf, Dotan Asselmann, Abhinav Khanna:
Automated surgical step recognition in transurethral bladder tumor resection using artificial intelligence: transfer learning across surgical modalities. - Yiting Li, Sichao Tian, Haiyue Zhu, Yeying Jin, Keqing Wang, Jun Ma, Cheng Xiang, Prahlad Vadakkepat:
Expandable-RCNN: toward high-efficiency incremental few-shot object detection. - Gábor Molnár, Luís Ferreira Pires, Oscar de Boer, Vera Kovaleva:
An empirical assessment of the use of an algorithm factory for video delivery operations. - Robert Lakatos, Péter Pollner, András Hajdu, Tamas Joo:
A multimodal deep learning architecture for smoking detection with a small data approach.