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ORCIDMachine Learning and Knowledge Extraction, Volume 6
Volume 6, Number 1, March 2024
- Devang Mehta
, Noah Klarmann:
Autoencoder-Based Visual Anomaly Localization for Manufacturing Quality Control. 1-17 - Abhijeet Kumar, Anirban Guha, Sauvik Banerjee:
Transforming Simulated Data into Experimental Data Using Deep Learning for Vibration-Based Structural Health Monitoring. 18-40 - Kuangsheng Cai, Zugang Chen, Hengliang Guo, Shaohua Wang, Guoqing Li, Jing Li, Feng Chen, Hang Feng:
An Evaluative Baseline for Sentence-Level Semantic Division. 41-52 - Adnan Alagic, Natasa Zivic, Esad Kadusic, Dzenan Hamzic, Narcisa Hadzajlic, Mejra Dizdarevic, Elmedin Selmanovic:
Machine Learning for an Enhanced Credit Risk Analysis: A Comparative Study of Loan Approval Prediction Models Integrating Mental Health Data. 53-77 - Jorge Blanco Prieto, Marina Ferreras González, Steven Van Vaerenbergh, Oscar Jesús Cosido Cobos:
A Data Mining Approach for Health Transport Demand. 78-97 - Jennifer Werner, Dimitri Nowak, Franziska Hunger, Tomas Johnson, Andreas Mark, Alexander Gösta, Fredrik Edelvik:
Predicting Wind Comfort in an Urban Area: A Comparison of a Regression- with a Classification-CNN for General Wind Rose Statistics. 98-125 - Didier Gohourou, Kazuhiro Kuwabara:
Knowledge Graph Extraction of Business Interactions from News Text for Business Networking Analysis. 126-142 - Mustafa Pamuk, Matthias Schumann, Robert C. Nickerson:
What Do the Regulators Mean? A Taxonomy of Regulatory Principles for the Use of AI in Financial Services. 143-155 - Abdulkarim Faraj Alqahtani, Mohammad Ilyas:
An Ensemble-Based Multi-Classification Machine Learning Classifiers Approach to Detect Multiple Classes of Cyberbullying. 156-170 - Mohammadali Fallahian, Mohsen Dorodchi, Kyle Kreth:
GAN-Based Tabular Data Generator for Constructing Synopsis in Approximate Query Processing: Challenges and Solutions. 171-198 - Sophie Zentner, Alberto Barradas Chacon, Selina C. Wriessnegger:
The Impact of Light Conditions on Neural Affect Classification: A Deep Learning Approach. 199-214 - Liang Luo, George K. Stylios:
Algorithmic Information Theory for the Precise Engineering of Flexible Material Mechanics. 215-232 - Maximilian Lowin:
A Text-Based Predictive Maintenance Approach for Facility Management Requests Utilizing Association Rule Mining and Large Language Models. 233-258 - Nhut Huynh, Kim-Doang Nguyen:
Real-Time Droplet Detection for Agricultural Spraying Systems: A Deep Learning Approach. 259-282 - Audris Arzovs, Janis Judvaitis, Krisjanis Nesenbergs, Leo Selavo:
Distributed Learning in the IoT-Edge-Cloud Continuum. 283-315 - Mailson Ribeiro Santos, Luiz Affonso Guedes, Ignacio Sánchez-Gendriz:
SHapley Additive exPlanations (SHAP) for Efficient Feature Selection in Rolling Bearing Fault Diagnosis. 316-341 - Ekaterina Novozhilova, Kate K. Mays, Sejin Paik, James E. Katz:
More Capable, Less Benevolent: Trust Perceptions of AI Systems across Societal Contexts. 342-366 - Fouad Trad, Ali Chehab:
Prompt Engineering or Fine-Tuning? A Case Study on Phishing Detection with Large Language Models. 367-384 - Shira Nemirovsky-Rotman, Eyal Bercovich:
Explicit Physics-Informed Deep Learning for Computer-Aided Diagnostic Tasks in Medical Imaging. 385-401 - Yuxin Cong, Toshiyuki Motohashi, Koki Nakao, Shinya Inazumi:
Machine Learning Predictive Analysis of Liquefaction Resistance for Sandy Soils Enhanced by Chemical Injection. 402-419 - Musacchio Nicoletta, Rita Zilich, Davide Masi, Fabio Baccetti, Besmir Nreu, Carlo Bruno Giorda, Giacomo Guaita, Lelio Morviducci, Marco Muselli, Alessandro Ozzello, Federico Pisani, Paola Ponzani, Antonio Rossi, Pierluigi Santin, Damiano Verda, Graziano Di Cianni, Riccardo Candido:
Overcoming Therapeutic Inertia in Type 2 Diabetes: Exploring Machine Learning-Based Scenario Simulation for Improving Short-Term Glycemic Control. 420-434 - Sabrina Djeradi, Tahar Dahame, Mohamed Abdelilah Fadla, Bachir Bentria, Mohammed Benali Kanoun, Souraya Goumri-Said:
High-Throughput Ensemble-Learning-Driven Band Gap Prediction of Double Perovskites Solar Cells Absorber. 435-447 - Subhayu Dutta, Subhrangshu Adhikary, Ashutosh Dhar Dwivedi:
VisFormers - Combining Vision and Transformers for Enhanced Complex Document Classification. 448-463 - Mohammed G. Alsubaie, Suhuai Luo, Kamran Shaukat:
Alzheimer's Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review. 464-505 - Enqi Ma, Zbigniew J. Kabala:
Refereeing the Sport of Squash with a Machine Learning System. 506-553 - Cezary Maszczyk, Marek Sikora, Lukasz Wróbel:
Classification, Regression, and Survival Rule Induction with Complex and M-of-N Elementary Conditions. 554-579 - Stephen Fox, Vítor Fortes Rey:
Representing Human Ethical Requirements in Hybrid Machine Learning Models: Technical Opportunities and Fundamental Challenges. 580-592 - Danial Hooshyar, Roger Azevedo, Yeongwook Yang:
Augmenting Deep Neural Networks with Symbolic Educational Knowledge: Towards Trustworthy and Interpretable AI for Education. 593-618 - Loay Hassan, Mohamed Abdel-Nasser, Adel Saleh, Domenec Puig:
Classifying Breast Tumors in Digital Tomosynthesis by Combining Image Quality-Aware Features and Tumor Texture Descriptors. 619-641 - Heesung Shim, Jonathan E. Allen, W. F. Drew Bennett:
Enhancing Docking Accuracy with PECAN2, a 3D Atomic Neural Network Trained without Co-Complex Crystal Structures. 642-657 - Soma Onishi, Masahiro Nishimura, Ryota Fujimura, Yoichi Hayashi:
Why Do Tree Ensemble Approximators Not Outperform the Recursive-Rule eXtraction Algorithm? 658-678 - Leandra Lukomski, Juan I. Pisula, Naita Wirsik, Alexander Damanakis, Jin-On Jung, Karl Knipper, Rabi R. Datta, Wolfgang Schröder, Florian Gebauer, Thomas Schmidt, Alexander Quaas, Katarzyna Bozek, Christiane J. Bruns, Felix Popp:
Analyzing the Impact of Oncological Data at Different Time Points and Tumor Biomarkers on Artificial Intelligence Predictions for Five-Year Survival in Esophageal Cancer. 679-698 - Foziya Ahmed Mohammed, Kula Kekeba Tune, Beakal Gizachew Assefa, Marti Jett, Seid Y. Muhie:
Medical Image Classifications Using Convolutional Neural Networks: A Survey of Current Methods and Statistical Modeling of the Literature. 699-736
Volume 6, Number 2, June 2024
- Lucileide M. D. Da Silva, Sérgio N. Silva, Luísa C. de Souza, Karolayne S. Azevedo, Luiz Affonso Guedes, Marcelo A. C. Fernandes:
A New and Lightweight R-Peak Detector Using the TEDA Evolving Algorithm. 736-750 - Tan-Hanh Pham, Kim-Doang Nguyen:
Soil Sampling Map Optimization with a Dual Deep Learning Framework. 751-769 - Dina A. Alabbad, Shahad Y. Ajibi, Raghad B. Alotaibi, Noura K. Alsqer, Rahaf A. Alqahtani, Noor M. Felemban, Atta Rahman, Sumayh S. Aljameel, Mohammed Imran Basheer Ahmed, Mustafa M. Youldash:
Birthweight Range Prediction and Classification: A Machine Learning-Based Sustainable Approach. 770-788 - Faith Nwokoma, Justin Foreman, Cajetan M. Akujuobi:
Effective Data Reduction Using Discriminative Feature Selection Based on Principal Component Analysis. 789-799 - Richard Vogel, Tobias Schlosser, Robert Manthey, Marc Ritter, Matthias Vodel, Maximilian Eibl, Kristan Alexander Schneider:
A Meta Algorithm for Interpretable Ensemble Learning: The League of Experts. 800-826 - Seifollah Gholampour:
Impact of Nature of Medical Data on Machine and Deep Learning for Imbalanced Datasets: Clinical Validity of SMOTE Is Questionable. 827-841 - Michail Kaseris, Ioannis Kostavelis, Sotiris Malassiotis:
A Comprehensive Survey on Deep Learning Methods in Human Activity Recognition. 842-876 - Bola Abimbola, Enrique A. de la Cal Marín, Qing Tan:
Enhancing Legal Sentiment Analysis: A Convolutional Neural Network-Long Short-Term Memory Document-Level Model. 877-897 - Manja Mai-Ly Pfaff-Kastner, Ken Wenzel, Steffen Ihlenfeldt:
Concept Paper for a Digital Expert: Systematic Derivation of (Causal) Bayesian Networks Based on Ontologies for Knowledge-Based Production Steps. 898-916 - Xuejia Du, Sameer Salasakar, Ganesh Thakur:
A Comprehensive Summary of the Application of Machine Learning Techniques for CO2-Enhanced Oil Recovery Projects. 917-943 - Pablo Rivas, Javier Orduz, Tonni Das Jui, Casimer M. DeCusatis, Bikram Khanal:
Quantum-Enhanced Representation Learning: A Quanvolutional Autoencoder Approach against DDoS Threats. 944-964 - Jinzhao Tian, Tianya Zhao, Zhuorui Li, Tian Li, Haipei Bie, Vivian Loftness:
VOD: Vision-Based Building Energy Data Outlier Detection. 965-986 - Fahad A. Alghamdi, Haitham Almanaseer, Ghaith M. Jaradat, Ashraf Jaradat, Mutasem K. Alsmadi, Sana Jawarneh, Abdullah Almurayh, Jehad Saad Alqurni, Hayat Alfagham:
Multilayer Perceptron Neural Network with Arithmetic Optimization Algorithm-Based Feature Selection for Cardiovascular Disease Prediction. 987-1008 - Maya Cendana, Ren-Jieh Kuo:
Categorical Data Clustering: A Bibliometric Analysis and Taxonomy. 1009-1054 - Chihcheng Hsieh, André Luís, José Neves, Isabel Blanco Nobre, Sandra Costa Sousa, Chun Ouyang, Joaquim Jorge, Catarina Moreira:
EyeXNet: Enhancing Abnormality Detection and Diagnosis via Eye-Tracking and X-ray Fusion. 1055-1071 - Robin Ströbel, Marcus Mau, Alexander Puchta, Jürgen Fleischer:
Improving Time Series Regression Model Accuracy via Systematic Training Dataset Augmentation and Sampling. 1072-1086 - Ding Li, Yan Liu, Jun Huang:
Assessment of Software Vulnerability Contributing Factors by Model-Agnostic Explainable AI. 1087-1113 - Daswin De Silva, Shalinka Jayatilleke, Mona El-Ayoubi, Zafar Issadeen, Harsha Moraliyage, Nishan Mills:
The Human-Centred Design of a Universal Module for Artificial Intelligence Literacy in Tertiary Education Institutions. 1114-1125 - Elizabeth Hofer, Martin v. Mohrenschildt:
Locally-Scaled Kernels and Confidence Voting. 1126-1144 - Florian Jürgen Raimann, Vanessa Neef, Marie Charlotte Hennighausen, Kai Zacharowski, Armin Niklas Flinspach:
Evaluation of AI ChatBots for the Creation of Patient-Informed Consent Sheets. 1145-1153 - Galiya Anarbekova, Luis Gonzaga Baca Ruiz, Akerke Akanova, Saltanat Sharipova, Nazira Ospanova:
Fine-Tuning Artificial Neural Networks to Predict Pest Numbers in Grain Crops: A Case Study in Kazakhstan. 1154-1169 - Teodor Chiaburu, Frank Haußer, Felix Bießmann:
Uncertainty in XAI: Human Perception and Modeling Approaches. 1170-1192 - Swati Rastogi, Siddhartha P. Duttagupta, Anirban Guha:
Design and Implementation of a Self-Supervised Algorithm for Vein Structural Patterns Analysis Using Advanced Unsupervised Techniques. 1193-1209 - Lauren J. Wong, Braeden P. Muller, Sean McPherson, Alan J. Michaels:
An Analysis of Radio Frequency Transfer Learning Behavior. 1210-1242 - Kristina Polotskaya, Carlos S. Muñoz-Valencia, Alejandro Rabasa, Jose A. Quesada-Rico, Domingo Orozco-Beltrán, Xavier Barber:
Bayesian Networks for the Diagnosis and Prognosis of Diseases: A Scoping Review. 1243-1262 - Maria Silvia Binetti, Carmine Massarelli, Vito Felice Uricchio:
Machine Learning in Geosciences: A Review of Complex Environmental Monitoring Applications. 1263-1280 - Tamás Katona, Gábor Tóth, Mátyás Petró, Balázs Harangi:
Advanced Multi-Label Image Classification Techniques Using Ensemble Methods. 1281-1297 - Thomas Welchowski, Dominic Edelmann:
Interaction Difference Hypothesis Test for Prediction Models. 1298-1322 - Melina Tziomaka, Athanasios Kallipolitis, Andreas Menychtas, Parisis Gallos, Christos Panagopoulos, Alice Georgia Vassiliou, Edison Jahaj, Ioanna Dimopoulou, Anastasia Kotanidou, Ilias Maglogiannis:
Extracting Interpretable Knowledge from the Remote Monitoring of COVID-19 Patients. 1323-1342 - Daniel M. Goldstein, Chris Aldrich, Louisa O'Connor:
A Review of Orebody Knowledge Enhancement Using Machine Learning on Open-Pit Mine Measure-While-Drilling Data. 1343-1360 - Ivan P. Malashin, Igor S. Masich, Vadim Tynchenko, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksey S. Borodulin:
Image Text Extraction and Natural Language Processing of Unstructured Data from Medical Reports. 1361-1377 - Johannes Allgaier, Rüdiger Pryss:
Cross-Validation Visualized: A Narrative Guide to Advanced Methods. 1378-1388
Volume 6, Number 3, September 2024
- Sergio de la Mata Moratilla, Jose-Maria Gutierrez-Martinez, Ana Castillo-Martinez, Sergio Caro-Álvaro:
Prediction of the Behaviour from Discharge Points for Solid Waste Management. 1389-1412 - Zoi Lygizou, Dimitris Kalles:
Using Deep Q-Learning to Dynamically Toggle between Push/Pull Actions in Computational Trust Mechanisms. 1413-1438 - Dominik Vranay, Maros Hliboký, László Kovács, Peter Sincák:
Using Segmentation to Boost Classification Performance and Explainability in CapsNets. 1439-1465 - Jonghyun Choi, Sung Kyu Jang, Woonhyung Cho, Seokbae Moon, Hyeongkeun Kim:
Motor PHM on Edge Computing with Anomaly Detection and Fault Severity Estimation through Compressed Data Using PCA and Autoencoder. 1466-1483 - Iraj Moghaddasi, Byeong-Gyu Nam:
Enhancing Computation-Efficiency of Deep Neural Network Processing on Edge Devices through Serial/Parallel Systolic Computing. 1484-1493 - Stephen Fox, Vítor Fortes Rey:
A Cognitive Load Theory (CLT) Analysis of Machine Learning Explainability, Transparency, Interpretability, and Shared Interpretability. 1494-1509 - Marie Stelter, Manuela Malek, Margareta Halek, Jan P. Ehlers, Julia Nitsche:
Learning Experiences and Didactic Needs of German Healthcare Professions: A Focus Group Study for the Design of Personalized Interprofessional Further Education in Dementia Healthcare. 1510-1530 - Eyal Betzalel, Coby Penso, Ethan Fetaya:
Evaluation Metrics for Generative Models: An Empirical Study. 1531-1544 - Maisha Binte Rashid, Md Shahidur Rahaman, Pablo Rivas:
Navigating the Multimodal Landscape: A Review on Integration of Text and Image Data in Machine Learning Architectures. 1545-1563 - Pierfrancesco Novielli, Michele Magarelli, Donato Romano, Lorenzo De Trizio, Pierpaolo Di Bitonto, Alfonso Monaco, Nicola Amoroso, Anna Maria Stellacci, Claudia Zoani, Roberto Bellotti, Sabina Tangaro:
Climate Change and Soil Health: Explainable Artificial Intelligence Reveals Microbiome Response to Warming. 1564-1578 - Sárka Mikmeková, Martin Zouhar, Jan Cermák, Ondrej Ambroz, Patrik Jozefovic, Ivo Konvalina, Eliska Materna Mikmeková, Jirí Materna:
Deep Learning-Powered Optical Microscopy for Steel Research. 1579-1596 - Giulio Barletta, Giovanni Trezza, Eliodoro Chiavazzo:
Learning Effective Good Variables from Physical Data. 1597-1618 - Fabio Batista Mota, Luiza Amara Maciel Braga, Bernardo P. Cabral, Natiele Carla da Silva Ferreira, Cláudio Damasceno Pinto, José Aguiar Coelho, Luiz Anastacio Alves:
Examining the Global Patent Landscape of Artificial Intelligence-Driven Solutions for COVID-19. 1619-1632 - Efrain Noa-Yarasca, Javier M. Osorio Leyton, Jay P. Angerer:
Extending Multi-Output Methods for Long-Term Aboveground Biomass Time Series Forecasting Using Convolutional Neural Networks. 1633-1652 - Rafael Ruiz de San Martín, Catalina Morales-Hernández, Carmen Barberá, Carlos Martinez-Cortes, Antonio-Jesús Banegas-Luna, Francisco José Segura-Méndez, Horacio Pérez Sánchez, Isabel Morales-Moreno, Juan José Hernández Morante:
Global and Local Interpretable Machine Learning Allow Early Prediction of Unscheduled Hospital Readmission. 1653-1666 - Robertas Damasevicius:
Comment on Novozhilova et al. More Capable, Less Benevolent: Trust Perceptions of AI Systems across Societal Contexts. Mach. Learn. Knowl. Extr. 2024, 6, 342-366. 1667-1669 - Ekaterina Novozhilova, Kate K. Mays, Sejin Paik, James E. Katz:
Reply to Damaševičius, R. Comment on "Novozhilova et al. More Capable, Less Benevolent: Trust Perceptions of AI Systems across Societal Contexts. Mach. Learn. Knowl. Extr. 2024, 6, 342-366". 1670-1672 - Ray-I Chang, Chih-Yung Tsai, Yu-Wei Chang:
Enhancing Visitor Forecasting with Target-Concatenated Autoencoder and Ensemble Learning. 1673-1698 - Lauren J. Wong, Braeden P. Muller, Sean McPherson, Alan J. Michaels:
Assessing the Value of Transfer Learning Metrics for Radio Frequency Domain Adaptation. 1699-1719 - Mustafa Pamuk, Matthias Schumann:
Towards AI Dashboards in Financial Services: Design and Implementation of an AI Development Dashboard for Credit Assessment. 1720-1761 - Christina Markopoulou, George Papageorgiou, Christos Tjortjis:
Diverse Machine Learning for Forecasting Goal-Scoring Likelihood in Elite Football Leagues. 1762-1781 - Mengmeng Liu, Gopal N. Srivastava, J. Ramanujam, Michal Brylinski:
Insights from Augmented Data Integration and Strong Regularization in Drug Synergy Prediction with SynerGNet. 1782-1797 - Seyum Abebe, Irene Poli, Roger D. Jones, Debora Slanzi:
Learning Optimal Dynamic Treatment Regime from Observational Clinical Data through Reinforcement Learning. 1798-1817 - Duaa Mohammad Alawad, Ataur Katebi, Md. Tamjidul Hoque:
Enhanced Graph Representation Convolution: Effective Inferring Gene Regulatory Network Using Graph Convolution Network with Self-Attention Graph Pooling Layer. 1818-1839 - Ashutosh Ghimire, Fathi H. Amsaad:
A Parallel Approach to Enhance the Performance of Supervised Machine Learning Realized in a Multicore Environment. 1840-1856 - Hakgeun Kim, Hyeongjin Kim, Kiweon Kang:
Accuracy Improvement of Debonding Damage Detection Technology in Composite Blade Joints for 20 kW Class Wind Turbine. 1857-1870 - Masoumeh Hashemi, Richard C. Peralta, Matthew Yost:
Balancing Results from AI-Based Geostatistics versus Fuzzy Inference by Game Theory Bargaining to Improve a Groundwater Monitoring Network. 1871-1893 - Mohammed Elhenawy, Ahmad Abutahoun, Taqwa I. Alhadidi, Ahmed Jaber, Huthaifa I. Ashqar, Shadi Jaradat, Ahmed Abdelhay, Sebastien Glaser, Andry Rakotonirainy:
Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial Challenges. 1894-1921 - Darian M. Onchis, Codruta Istin, Ioan-Valentin Samuila:
Optimal Knowledge Distillation through Non-Heuristic Control of Dark Knowledge. 1921-1935 - Sairoel Amertet, Girma Gebresenbet:
Forecasting the Right Crop Nutrients for Specific Crops Based on Collected Data Using an Artificial Neural Network (ANN). 1936-1952 - Connor MacLean, Denis Cavallucci:
Assessing Fine-Tuned NER Models with Limited Data in French: Automating Detection of New Technologies, Technological Domains, and Startup Names in Renewable Energy. 1953-1968 - Alexander Bott, Felix Schreyer, Alexander Puchta, Jürgen Fleischer:
Black Box Adversarial Reprogramming for Time Series Feature Classification in Ball Bearings' Remaining Useful Life Classification. 1969-1996 - Frank van Mourik, Annemarie Jutte, Stijn E. Berendse, Faiza Allah Bukhsh, Faizan Ahmed:
Tertiary Review on Explainable Artificial Intelligence: Where Do We Stand? 1997-2017 - Carlos Martínez, Susana Teijeira, Patricia Domínguez, Silvia Campanioni, Laura Busto, José A. González-Nóvoa, Jacobo Alonso, Eva Poveda, Beatriz San Millán, César Veiga:
Correlating Histopathological Microscopic Images of Creutzfeldt-Jakob Disease with Clinical Typology Using Graph Theory and Artificial Intelligence. 2018-2032 - Mateo Sokac, Borna Skracic, Danijel Kucak, Leo Mrsic:
Graph Convolutional Networks for Predicting Cancer Outcomes and Stage: A Focus on cGAS-STING Pathway Activation. 2033-2048 - Lucas Rizzo, Damiano Verda, Serena Berretta, Luca Longo:
A Novel Integration of Data-Driven Rule Generation and Computational Argumentation for Enhanced Explainable AI. 2049-2073 - Vangelis Sarlis, Dimitrios Gerakas, Christos Tjortjis:
A Data Science and Sports Analytics Approach to Decode Clutch Dynamics in the Last Minutes of NBA Games. 2074-2095 - Federico Pacini, Pierpaolo Dini, Luca Fanucci:
Show Me Once: A Transformer-Based Approach for an Assisted-Driving System. 2096-2110 - Umar Subhan Malhi, Junfeng Zhou, Abdur Rasool, Shahbaz Siddeeq:
Efficient Visual-Aware Fashion Recommendation Using Compressed Node Features and Graph-Based Learning. 2111-2129 - Rashmi Nagpal, Ariba Khan, Mihir Borkar, Amar Gupta:
A Multi-Objective Framework for Balancing Fairness and Accuracy in Debiasing Machine Learning Models. 2130-2148
Volume 6, Number 4, 2024
- Brandon Warner, Edward R. Ratner, Kallin Carlous-Khan, Christopher Douglas, Amaury Lendasse:
Ensemble Learning with Highly Variable Class-Based Performance. 2149-2160 - Bo-Wen Shen:
Exploring Downscaling in High-Dimensional Lorenz Models Using the Transformer Decoder. 2161-2182 - Jonathan Schler, Elisheva Bonchek-Dokow:
Profiling Astroturfers on Facebook: A Complete Framework for Labeling, Feature Extraction, and Classification. 2183-2200 - Martina Mattioli, Federico Cabitza:
Not in My Face: Challenges and Ethical Considerations in Automatic Face Emotion Recognition Technology. 2201-2231 - Antonio Sabbatella, Andrea Ponti, Antonio Candelieri, Francesco Archetti:
Bayesian Optimization Using Simulation-Based Multiple Information Sources over Combinatorial Structures. 2232-2247 - Zhengkun Li, Omar Dib:
Empowering Brain Tumor Diagnosis through Explainable Deep Learning. 2248-2281 - Natalia Khazieva, Alena Pauliková, Henrieta Hrablik Chovanová:
Maximising Synergy: The Benefits of a Joint Implementation of Knowledge Management and Artificial Intelligence System Standards. 2282-2302 - Brindha Priyadarshini Jeyaraman, Bing Tian Dai, Yuan Fang:
Temporal Relational Graph Convolutional Network Approach to Financial Performance Prediction. 2303-2320 - Chao-Yun Chang, Chih-Chin Lai:
Potato Leaf Disease Detection Based on a Lightweight Deep Learning Model. 2321-2335 - Tiago Garcia, Luís Pina, Magnus Robb, Jorge Maria, Roel May, Ricardo Oliveira:
Long-Range Bird Species Identification Using Directional Microphones and CNNs. 2336-2354 - Arunabh Bora, Heriberto Cuayáhuitl:
Systematic Analysis of Retrieval-Augmented Generation-Based LLMs for Medical Chatbot Applications. 2355-2374 - Michele Bellingeri, Leonardo Mancabelli, Christian Milani, Gabriele Andrea Lugli, Roberto Alfieri, Massimiliano Turchetto, Marco Ventura, Davide Cassi:
Machine Learning Monte Carlo Approaches and Statistical Physics Notions to Characterize Bacterial Species in Human Microbiota. 2375-2399 - Mohamad Abou Ali, Fadi Dornaika, Ignacio Arganda-Carreras:
Towards Self-Conscious AI Using Deep ImageNet Models: Application for Blood Cell Classification. 2400-2421 - Gwangho Na, Jaepil Ko, Kyung Joo Cheoi:
Leveraging Multi-Modality and Enhanced Temporal Networks for Robust Violence Detection. 2422-2434 - Mei Si, Omar Cobas, Michael Fababeir:
Lexical Error Guard: Leveraging Large Language Models for Enhanced ASR Error Correction. 2435-2446 - David Schmidt, Frank Puppe:
Automatic Extraction and Visualization of Interaction Networks for German Fairy Tales. 2447-2493 - Yajing Chen, Urs Liebau, Shreyas Mysore Guruprasad, Iaroslav Trofimenko, Christine Minke:
Advancing Life Cycle Assessment of Sustainable Green Hydrogen Production Using Domain-Specific Fine-Tuning by Large Language Models Augmentation. 2494-2514 - Louise Pedersen, Magdalena Mazur-Milecka, Jacek Ruminski, Stefan Rahr Wagner:
A Review on Machine Learning Deployment Patterns and Key Features in the Prediction of Preeclampsia. 2515-2569 - Stephen Fox:
Adaptive AI Alignment: Established Resources for Aligning Machine Learning with Human Intentions and Values in Changing Environments. 2570-2600 - Pál Péter Hanzelik, Alex Kummer, János Abonyi:
Data Reconciliation-Based Hierarchical Fusion of Machine Learning Models. 2601-2617 - Nicholas Ampazis, Flora Sakketou:
Diversifying Multi-Head Attention in the Transformer Model. 2618-2638 - Lebede Ngartera, Mahamat Ali Issaka, Saralees Nadarajah:
Application of Bayesian Neural Networks in Healthcare: Three Case Studies. 2639-2658 - Mariana Teixeira, José Manuel Oliveira, Patrícia Ramos:
Enhancing Hierarchical Sales Forecasting with Promotional Data: A Comparative Study Using ARIMA and Deep Neural Networks. 2659-2687 - Paul Trust, Rosane Minghim:
A Study on Text Classification in the Age of Large Language Models. 2688-2721 - Hossein Shokouhi-Nejad, Roozbeh Razavi-Far, Griffin Higgins, Ali A. Ghorbani:
Node-Centric Pruning: A Novel Graph Reduction Approach. 2722-2737 - Luis Rita, Joshua Southern, Ivan Laponogov, Kyle Higgins, Kirill A. Veselkov:
Optimizing Ingredient Substitution Using Large Language Models to Enhance Phytochemical Content in Recipes. 2738-2752 - Yansel González Tejeda, Helmut A. Mayer:
Deep Learning with Convolutional Neural Networks: A Compact Holistic Tutorial with Focus on Supervised Regression. 2753-2782 - Nermeen Abou Baker, David Rohrschneider, Uwe Handmann:
Parameter-Efficient Fine-Tuning of Large Pretrained Models for Instance Segmentation Tasks. 2783-2807 - Jannik Rosemeyer, Marta Pinzone, Joachim Metternich:
Digital Assistance Systems to Implement Machine Learning in Manufacturing: A Systematic Review. 2808-2828 - Matthew Chin, Roberto Corizzo:
Continual Semi-Supervised Malware Detection. 2829-2854 - Md. Mostafizur Rahman Komol, Mohammed Elhenawy, Jack Pinnow, Mahmoud Masoud, Andry Rakotonirainy, Sebastien Glaser, Merle Wood, David Alderson:
Prediction of Drivers' Red-Light Running Behaviour in Connected Vehicle Environments Using Deep Recurrent Neural Networks. 2855-2875 - Michel Planat, Marcelo M. Amaral:
What ChatGPT Has to Say About Its Topological Structure: The Anyon Hypothesis. 2876-2891 - Liang Chen, Hao Wang, Linshu Meng, Zhenzhen Xu, Lin Xue, Mingfa Ren:
An End-to-End Adaptive Method for Remaining Useful Life Prediction of Rolling Bearings Using Time-Frequency Image Features. 2892-2912 - Yiqiao Li, Jianlong Zhou, Boyuan Zheng, Niusha Shafiabady, Fang Chen:
Reliable and Faithful Generative Explainers for Graph Neural Networks. 2913-2929
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