| 27 | -- | 0 | Sorin Marius Pavel, Simona Moldovanu, Dorel Aiordachioaie. On Classification of the Human Emotions from Facial Thermal Images: A Case Study Based on Machine Learning |
| 28 | -- | 0 | Masood Sujau, Masako Wada, Emilie Vallée, Natalie Hillis, Teo Susnjak. Accelerating Disease Model Parameter Extraction: An LLM-Based Ranking Approach to Select Initial Studies for Literature Review Automation |
| 29 | -- | 0 | Suset Vázquez-Aveledo, Rosenberg J. Romero, Lorena Díaz-González, Moisés Montiel-González, Jesús Cerezo. Optimizing a Double Stage Heat Transformer Performance by Levenberg-Marquardt Artificial Neural Network |
| 30 | -- | 0 | Bhupender Kumar, Navsal Kumar, Rabee Rustum, Vijay Shankar. Comparative Analysis of Machine Learning Techniques for Predicting Bulk Specific Gravity in Modified Asphalt Mixtures Incorporating Polyethylene Terephthalate (PET), High-Density Polyethylene (HDPE), and Polyvinyl Chloride (PVC) |
| 31 | -- | 0 | Antreas Konstantinou, Dimitrios Kasimatis, William J. Buchanan, Sana Ullah Jan, Jawad Ahmad 0001, Ilias Politis, Nikolaos Pitropakis. Leveraging LLMs for Non-Security Experts in Threat Hunting: Detecting Living off the Land Techniques |
| 32 | -- | 0 | Tamara El Hajjar, Mohammed Lansari, Reda Bellafqira, Gouenou Coatrieux, Katarzyna Kapusta, Kassem Kallas. RoSe-Mix: Robust and Secure Deep Neural Network Watermarking in Black-Box Settings via Image Mixup |
| 35 | -- | 0 | Jinglei Pei, Yang Zhang, Ting Liu, Jingbin Yang, Qinghua Wu, Kang Qin. ADTime: Adaptive Multivariate Time Series Forecasting Using LLMs |
| 36 | -- | 0 | Ying Yin, YiJun Shao, Phillip Ma, Qing Zeng-Treitler, Stuart J. Nelson. Machine-Learned Codes from EHR Data Predict Hard Outcomes Better than Human-Assigned ICD Codes |
| 37 | -- | 0 | Max Klein, Niklas Dormagen, Lukas Wimmer, Markus H. Thoma, Mike Schwarz. Advancing Particle Tracking: Self-Organizing Map Hyperparameter Study and Long Short-Term Memory-Based Outlier Detection |
| 38 | -- | 0 | Ramandeep Singh Dehal, Mehak Sharma, Enayat Rajabi. Knowledge Graphs and Their Reciprocal Relationship with Large Language Models |
| 39 | -- | 0 | Mohit Gupta, Chialing Wei, Thomas Czerniawski, Ricardo Eiris. PIDQA - Question Answering on Piping and Instrumentation Diagrams |
| 40 | -- | 0 | John B. Theocharis, Christos G. Chadoulos, Andreas L. Symeonidis. A Novel Approach Based on Hypergraph Convolutional Neural Networks for Cartilage Shape Description and Longitudinal Prediction of Knee Osteoarthritis Progression |
| 41 | -- | 0 | Mateo Sokac, Mario Fabijanic, Igor Mekterovic, Leo Mrsic. Automated Grading Through Contrastive Learning: A Gradient Analysis and Feature Ablation Approach |
| 42 | -- | 0 | Mathieu Payette, Georges Abdul-Nour, Toualith Jean-Marc Meango, Miguel Diago, Alain Côté. Leveraging Failure Modes and Effect Analysis for Technical Language Processing |
| 43 | -- | 0 | Daniel Jiménez-López, Nuria Rodríguez Barroso, María Victoria Luzón, Javier Del Ser, Francisco Herrera. Membership Inference Attacks Fueled by Few-Shot Learning to Detect Privacy Leakage and Address Data Integrity |
| 44 | -- | 0 | Zoltán Udvarnoki, Gábor Fáth. Quantum-Inspired Models for Classical Time Series |
| 45 | -- | 0 | Jacob A. Bahn, Germán H. Alférez, Keith Snyder. Machine Learning Classification of Fossilized Pectinodon bakkeri Teeth Images: Insights into Troodontid Theropod Dinosaur Morphology |
| 46 | -- | 0 | Joan D. Gonzalez-Franco, Alejandro Galaviz-Mosqueda, Salvador Villarreal Reyes, José Eleno Lozano-Rizk, Raúl Rivera-Rodríguez, Jose E. Gonzalez-Trejo, Alexei-Fedorovish Licea-Navarro, Jorge Lozoya Arandia, Edgar A. Ibarra-Flores. Revolutionizing Cardiac Risk Assessment: AI-Powered Patient Segmentation Using Advanced Machine Learning Techniques |
| 47 | -- | 0 | Anastasios Nikolopoulos, Vangelis D. Karalis. Artificial Intelligence Meets Bioequivalence: Using Generative Adversarial Networks for Smarter, Smaller Trials |
| 48 | -- | 0 | Tuyen Pham, Hana Dal Poz Kourimská, Hubert Wagner. Bregman-Hausdorff Divergence: Strengthening the Connections Between Computational Geometry and Machine Learning |
| 49 | -- | 0 | Philipp Jass, Carsten Thomas 0003. Using N-Version Architectures for Railway Segmentation with Deep Neural Networks |
| 50 | -- | 0 | Sofia El Amoury, Youssef Smili, Youssef Fakhri. Simulated Annealing-Based Hyperparameter Optimization of a Convolutional Neural Network for MRI Brain Tumor Classification |
| 51 | -- | 0 | Wenli Chen 0004, Zirou Lin, Lishan Zheng, Mei Yee Mavis Ho, Farhan Ali, Wei Peng Teo. Machine Learning Models to Predict Individual Cognitive Load in Collaborative Learning: Combining fNIRS and Eye-Tracking Data |
| 52 | -- | 0 | Ines Hernandez-Camero, Eva García-Lopez, Antonio García-Cabot, Sergio Caro-Álvaro. Context-Aware Few-Shot Learning SPARQL Query Generation from Natural Language on an Aviation Knowledge Graph |
| 53 | -- | 0 | Thomai Baltzi, Stella Nikitaki, Fani Galatsopoulou, Ioanna Kostarella, Andreas A. Veglis, Vasilis Vasilopoulos, Dimitris Papaevagelou, Antonis Skamnakis. MediaWatchers4Climate: Assessing the Accuracy of Climate Change Narratives in Greek Media Through Machine Learning |
| 54 | -- | 0 | Potito Valle Dell'olmo, Oleksandr Kuznetsov, Emanuele Frontoni, Marco Arnesano, Christian Napoli 0001, Cristian Randieri. Dataset Dependency in CNN-Based Copy-Move Forgery Detection: A Multi-Dataset Comparative Analysis |
| 55 | -- | 0 | Lorena Díaz-González, Yael Sharim Toribio-Colin, Julio César Pérez Sansalvador, Noureddine Lakouari. Factors Associated with COVID-19 Mortality in Mexico: A Machine Learning Approach Using Clinical, Socioeconomic, and Environmental Data |
| 56 | -- | 0 | Lazaros Moysis, Lazaros Alexios Iliadis, George S. Vergos, Sotirios P. Sotiroudis, Achilles D. Boursianis, Achilleas Papatheodorou, Konstantinos-Iraklis D. Kokkinidis, Mohammad Abdul Matin 0001, Panagiotis G. Sarigiannidis, Ilias Siniosoglou, Vasileios Argyriou, Sotirios K. Goudos. Artificial Intelligence-Empowered Embryo Selection for IVF Applications: A Methodological Review |
| 57 | -- | 0 | Qi Wang, Weihao Yan, Yanlong Li, Yizheng Ge, Yiwei Liu, Peng Yin, Shuai Tan. Knowledge Bases and Representation Learning Towards Bug Triaging |