| 108 | -- | 0 | Mustafa Erdem, Nazim Kemal Üre. Learning to Balance Mixed Adversarial Attacks for Robust Reinforcement Learning |
| 109 | -- | 0 | Daniel Alexis Nieto-Mora, Leonardo Duque-Muñoz, Juan David Martínez-Vargas. Enhancing Soundscape Characterization and Pattern Analysis Using Low-Dimensional Deep Embeddings on a Large-Scale Dataset |
| 110 | -- | 0 | Anouar Chahbouni, Khaoula El Manaa, Yassine Abouch, Imane El Manaa, Badre Bossoufi, Mohammed El Ghzaoui, Rachid El Alami. Attention-Guided Differentiable Channel Pruning for Efficient Deep Networks |
| 111 | -- | 0 | Luciano Radrigan, Sebastián E. Godoy, Aníbal S. Morales. Transfer Learning for Generalized Safety Risk Detection in Industrial Video Operations |
| 112 | -- | 0 | Lukasz Wawrowski, Piotr Biczyk, Dominik Slezak, Marek Sikora. Adversarial Attacks Detection Method for Tabular Data |
| 113 | -- | 0 | Archana Pallakonda, Rayappa David Amar Raj, Rama Muni Reddy Yanamala, Christian Napoli 0001, Cristian Randieri. TL-Efficient-SE: A Transfer Learning-Based Attention-Enhanced Model for Fingerprint Liveness Detection Across Multi-Sensor Spoof Attacks |
| 114 | -- | 0 | Haseeb Younis, Rosane Minghim. Enhancing Cancer Classification from RNA Sequencing Data Using Deep Learning and Explainable AI |
| 115 | -- | 0 | Antonio Villafranca, Kyaw Min Thant, Igor Tasic, María-Dolores Cano. AI-Enabled IoT Intrusion Detection: Unified Conceptual Framework and Research Roadmap |
| 116 | -- | 0 | Tyler J. Gandee, Philippe J. Giabbanelli. Faithful Narratives from Complex Conceptual Models: Should Modelers or Large Language Models Simplify Causal Maps? |
| 117 | -- | 0 | Yan Lyu, Likai Liu, Xuezhi Wang, Zhiyu Fan, Jinchen Wang, Guanyu Gao. Learning to Partition: Dynamic Deep Neural Network Model Partitioning for Edge-Assisted Low-Latency Video Analytics |
| 118 | -- | 0 | Gustav Durlind, Uriel Martinez-Hernandez, Tareq Assaf. Exploratory Proof-of-Concept: Predicting the Outcome of Tennis Serves Using Motion Capture and Deep Learning |
| 119 | -- | 0 | Ali Alyatimi, Vera Yuk Ying Chung, Muhammad Atif Iqbal, Ali Anaissi. Image-Based Deep Learning for Brain Tumour Transcriptomics: A Benchmark of DeepInsight, Fotomics, and Saliency-Guided CNNs |
| 120 | -- | 0 | Md. Saifur Rahman, Hassan Reza. Hybrid Deep Learning Approaches for Accurate Electricity Price Forecasting: A Day-Ahead US Energy Market Analysis with Renewable Energy |
| 121 | -- | 0 | Lovedeep Gondara, Jonathan Simkin, Graham Sayle, Shebnum Devji, Gregory Arbour, Raymond Ng. Small or Large? Zero-Shot or Finetuned? Guiding Language Model Choice for Specialized Applications in Healthcare |
| 122 | -- | 0 | Limor Ziv, Maayan Nakash. Behind the Algorithm: International Insights into Data-Driven AI Model Development |
| 123 | -- | 0 | Bo-Yu Lien, Chih-Chin Lai. A Lightweight Deep Learning Model for Tea Leaf Disease Identification |
| 124 | -- | 0 | Somayeh Barzegar, Naimul Mefraz Khan. SemiSeg-CAW: Semi-Supervised Segmentation of Ultrasound Images by Leveraging Class-Level Information and an Adaptive Multi-Loss Function |
| 125 | -- | 0 | Sebastian Raubitzek, Patrick Felbauer, Kevin Mallinger, Sebastian Schrittwieser. Classification of Obfuscation Techniques in LLVM IR: Machine Learning on Vector Representations |
| 126 | -- | 0 | Unai Ruiz-Gonzalez, Alain Andres, Javier Del Ser. Large Language Models for Structured Task Decomposition in Reinforcement Learning Problems with Sparse Rewards |
| 127 | -- | 0 | Gil Cohen. A Comprehensive Study on Short-Term Oil Price Forecasting Using Econometric and Machine Learning Techniques |
| 128 | -- | 0 | Carlos Martínez, Laura Busto, Olivia Zulaica, César Veiga. Interleaved Fusion Learning for Trustworthy AI: Improving Cross-Dataset Performance in Cervical Cancer Analysis |
| 129 | -- | 0 | Antony Morales Cervantes, Victor Herrera, Blanca Nohemí Zamora-Mendoza, Rogelio Flores-Ramírez, Aaron A. López-Cano, Edgar Guevara. Exploring New Horizons: fNIRS and Machine Learning in Understanding PostCOVID-19 |
| 130 | -- | 0 | Valentina Arustamyan, Pavel A. Lyakhov, Ulyana Lyakhova, Ruslan Abdulkadirov, Vyacheslav G. Rybin, Denis N. Butusov. A Systematic Review of Methods and Algorithms for the Intelligent Processing of Agricultural Data Applied to Sunflower Crops |
| 131 | -- | 0 | Dimitri Nowak, Jennifer Werner, Franziska Hunger, Tomas Johnson, Andreas Mark, Radostin Mitkov, Fredrik Edelvik. Diff-KNN: Residual Correction of Baseline Wind Predictions in Urban Settings |
| 132 | -- | 0 | Salma Zakzouk, Lobna A. Said. Federated Learning for Soil Moisture Prediction: Benchmarking Lightweight CNNs and Robustness in Distributed Agricultural IoT Networks |
| 133 | -- | 0 | Domenico Rossi, Aurora Mascolo, Daljeet Singh, Claudio Guarnaccia. Machine Learning Regressors Calibrated on Computed Data for Road Traffic Noise Prediction |
| 134 | -- | 0 | Hashmath Shaik, Gnaneswar Villuri, Alex Doboli. An Overview of Large Language Models and a Novel, Large Language Model-Based Cognitive Architecture for Solving Open-Ended Problems |
| 135 | -- | 0 | Jittarin Jetwiriyanon, Teo Susnjak, Surangika Ranathunga. Generalisation Bounds of Zero-Shot Economic Forecasting Using Time Series Foundation Models |
| 136 | -- | 0 | Ashim Chakraborty, Yeshwanth Thota, Cristina Luca, Ian van der Linde. Explainable Deep Learning for Neonatal Jaundice Classification Using Uncalibrated Smartphone Images |
| 137 | -- | 0 | Guangya Zhang, Tie Xu, Jinli Xu, Hu Wang 0002. A Graph-Structured, Physics-Informed DeepONet Neural Network for Complex Structural Analysis |
| 138 | -- | 0 | Shrooq Algarni, Frederick T. Sheldon. Personalized Course Recommendations Leveraging Machine and Transfer Learning Toward Improved Student Outcomes |
| 139 | -- | 0 | Abderrafik Laakel Hemdanou, Youssef Achtoun, Sara Mouali, Mohammed Lamarti Sefian, Vesna Sesum-Cavic, Stojan Radenovic. Cover Tree-Optimized Spectral Clustering: Efficient Nearest Neighbor Search for Large-Scale Data Partitioning |
| 140 | -- | 0 | Liviu Bilteanu, Corneliu Octavian Dumitru, Andreea Dumachi, Florin Alexandrescu, Radu C. Popa, Octavian Buiu, Andreea Iren Serban. Towards Explainable Machine Learning from Remote Sensing to Medical Images - Merging Medical and Environmental Data into Public Health Knowledge Maps |
| 141 | -- | 0 | Luis Giraldo, Sergio Laso. Democratizing Machine Learning: A Practical Comparison of Low-Code and No-Code Platforms |
| 142 | -- | 0 | Nikola Ivacic, Blaz Skrlj, Boshko Koloski, Senja Pollak, Nada Lavrac, Matthew Purver. Extreme Multi-Label Text Classification for Less-Represented Languages and Low-Resource Environments: Advances and Lessons Learned |
| 143 | -- | 0 | Wei Lin, Zhixin Piao, Chi Chung Alan Fung. Delving into Unsupervised Hebbian Learning from Artificial Intelligence Perspectives |
| 144 | -- | 0 | Cristian Inzulza, Caio Bezares, Franco Cornejo, Víctor Parada. Clustering-Guided Automatic Generation of Algorithms for the Multidimensional Knapsack Problem |
| 145 | -- | 0 | Ibrahim K. Kabir, Muhammad Faizan Mysorewala, Yahya I. Osais, Ali Nasir. Learning to Navigate in Mixed Human-Robot Crowds via an Attention-Driven Deep Reinforcement Learning Framework |
| 146 | -- | 0 | Ismael Beviá-Ballesteros, Mario Jerez-Tallón, Nieves Aranda-Garrido, Marcelo Saval-Calvo, Isabel Abel-Abellán, Andrés Fuster Guilló. Zero-Shot Elasmobranch Classification Informed by Domain Prior Knowledge |
| 147 | -- | 0 | Yangyi Li, Kyaw Hlaing Bwar, Rifai Chai, Kwong Ming Tse, Boon Xian Chai. Adaptive Multi-View Hypergraph Learning for Cross-Condition Bearing Fault Diagnosis |
| 148 | -- | 0 | Kirill Zakharov, Alexander Boukhanovsky. Model-Aware Automatic Benchmark Generation with Self-Error Instructions for Data-Driven Models |
| 149 | -- | 0 | Alfred Asare Amoah, Yan Liu 0001. Explainable Recommendation of Software Vulnerability Repair Based on Metadata Retrieval and Multifaceted LLMs |
| 150 | -- | 0 | Pavlo Nosov, Oleksiy Melnyk, Mykola Malaksiano, Pavlo Mamenko, Dmytro Onyshko, Oleksij Fomin, Václav Pístek, Pavel Kucera. Machine Learning-Based Semantic Analysis of Scientific Publications for Knowledge Extraction in Safety-Critical Domains |
| 151 | -- | 0 | Luis Vergara, Addisson Salazar. Does Score Bias Correction Improve the Fusion of Classifiers? |
| 152 | -- | 0 | Kiril Makrinsky, Valery Shendrikov, Anna Makhonko, Dmitry Merkushkin, Oleg V. Batishchev. LLM-Based Pipeline for Structured Knowledge Extraction from Scientific Literature on Heavy Metal Hyperaccumulation |
| 153 | -- | 0 | Vahid Arabzadeh, Raphaël Frank. A Four-Dimensional Analysis of Explainable AI in Energy Forecasting: A Domain-Specific Systematic Review |
| 154 | -- | 0 | Doyinsola D. Olatinwo, Mae L. Seto. Low-SNR Northern Right Whale Upcall Detection and Classification Using Passive Acoustic Monitoring to Reduce Adverse Human-Whale Interactions |
| 155 | -- | 0 | Hammoud Al Joumaa, Lou'i Al-Shrouf, Mohieddine Jelali. Time Series-to-Image Encoding for Classification Using Convolutional Neural Networks: A Novel and Robust Approach |
| 156 | -- | 0 | Erikson Carlos Ramos, Leandro Carlos de Souza, Gustavo Henrique Matos Bezerra Motta. Anomaly Detection Based on Markovian Geometric Diffusion |
| 157 | -- | 0 | Amir Sohel, Rittik Chandra Das Turjy, Sarbajit Paul Bappy, Md Assaduzzaman, Ahmed Al Marouf, Jon G. Rokne, Reda Alhajj. SkinVisualNet: A Hybrid Deep Learning Approach Leveraging Explainable Models for Identifying Lyme Disease from Skin Rash Images |
| 158 | -- | 0 | Miroslava Matejová, Ján Paralic. A Multi-Criteria Decision-Making Approach for the Selection of Explainable AI Methods |
| 159 | -- | 0 | Ashan Dhananjaya, Gihan Gamage, Sivaluxman Sivananthavel, Nishan Mills, Daswin De Silva, Milos Manic. Generative AI Agents for Bedside Sleep Apnea Detection and Sleep Coaching |
| 160 | -- | 0 | Zeinab A. Hassaan, Mohammed H. Yacoub, Lobna A. Said. FPGA-Accelerated ESN with Chaos Training for Financial Time Series Prediction |
| 161 | -- | 0 | Dennis Weber, Mónika Varga. A Reevaluable Property Lattice-Based Knowledge Representation for Proposing and Assessing Computational Tools in Manufacturing |
| 162 | -- | 0 | Tvrtko Gluncic, Domjan Baric, Matko Gluncic. VISTA: A Multi-View, Hierarchical, and Interpretable Framework for Robust Topic Modelling |
| 163 | -- | 0 | Luka Selak, Gasper Skulj, Dominik Kozjek, Drago Bracun. Prediction of Environment-Related Operation and Maintenance Events in Small Hydropower Plants |
| 164 | -- | 0 | Meryam Telmem, Naouar Laaidi, Youssef Ghanou, Hassan Satori. N-Gram and RNN-LM Language Model Integration for End-to-End Amazigh Speech Recognition |
| 165 | -- | 0 | Nikolai A. K. Steur, Friedhelm Schwenker. Multimodal Pain Recognition Based on Contrastive Adversarial Autoencoder Pretraining |
| 166 | -- | 0 | Piotr Wieniawski, Jakub S. Gasior, Maciej Rosól, Marcel Mlynczak, Ewa Smereczynska-Wierzbicka, Anna Piórecka-Makula, Radoslaw Pietrzak. Machine Learning Prediction of Recurrent Vasovagal Syncope in Children Using Heart Rate Variability and Anthropometric Data - A Pilot Study |
| 167 | -- | 0 | Xandru Mifsud, Leander Grech, Adriana Baldacchino, Léa Keller, Gianluca Valentino, Adrian Muscat. Receipt Information Extraction with Joint Multi-Modal Transformer and Rule-Based Model |
| 168 | -- | 0 | Gizem Nur Karagoz, Tanir Ozcelebi, Nirvana Meratnia. XIMED: A Dual-Loop Evaluation Framework Integrating Predictive Model and Human-Centered Approaches for Explainable AI in Medical Imaging |