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ORCIDMachine Learning and Knowledge Extraction, Volume 8
Volume 8, Number 1, 2025
- Andreea Geamanu, Maria-Iuliana Dascalu
, Ana-Maria Neagu, Raluca Ioana Guica:
An Integrated Artificial Intelligence Tool for Predicting and Managing Project Risks. 1 - Hossein Shokouhi-Nejad, Roozbeh Razavi-Far, Griffin Higgins, Ali A. Ghorbani:
Enhancing GNN Explanations for Malware Detection with Dual Subgraph Matching. 2 - Anass Garbaz, Yassine Oukdach, Said Charfi, Mohamed El Ansari, Lahcen Koutti, Mustapha Hedabou, Mustapha Oujaoura, Motalib Lagsoun Abdel:
XCC-Net: An X-Shaped Collective Convolution Network Architecture for Medical Image Segmentation. 3 - Giovana Gonçalves da Silva, Ronald Felipe Marca Roque, Moisés Arreguín Sámano, Neylan Leal Dias, Ana Claudia de Jesus Golzio, Alfredo Bonini Neto:
Multilayer Perceptron, Radial Basis Function, and Generalized Regression Networks Applied to the Estimation of Total Power Losses in Electrical Systems. 4 - Bernardo Montoya Magaña, Óscar Hernández-Uribe, Leonor Adriana Cárdenas-Robledo, Jose Antonio Cantoral-Ceballos:
Deep Learning Algorithms for Defect Detection on Electronic Assemblies: A Systematic Literature Review. 5 - Andreas Holzinger, Luca Longo, Angelo Cangelosi, Javier Del Ser:
Research Frontiers in Machine Learning & Knowledge Extraction. 6 - Cristhian Moya-Mota, Ignacio Aguilera-Martos, Diego García-Gil, Julián Luengo:
WinStat: A Family of Trainable Positional Encodings for Transformers in Time Series Forecasting. 7 - Zhongao Sun, Alexander V. Khvostikov, Andrey S. Krylov, Ilya Mikhailov, Pavel Malkov:
WSI-GT: Pseudo-Label Guided Graph Transformer for Whole-Slide Histology. 8 - Thennakoon Mudiyanselage Anupama Udayangani Gunathilaka, Jinglan Zhang, Yuefeng Li:
Context-Aware Emotion Gating and Modulation for Fine-Grained Sentiment Classification. 9 - Antonio del Bosque, Pablo Fernández-Arias, Diego Vergara:
Machine Learning for Nanomaterial Discovery and Design. 10 - Alexey Vulfin, Alexey Sulavko, Vladimir Vasiliev, Alexander Minko, Anastasia Kirillova, Alexander Samotuga:
A Multimodal Phishing Website Detection System Using Explainable Artificial Intelligence Technologies. 11 - Eman Alshehri:
Multivariate CO2 Emissions Forecasting Using Deep Neural Network Architectures. 12 - Quirin Stier, Jörg Hoffmann, Michael C. Thrun:
Classifying with the Fine Structure of Distributions: Leveraging Distributional Information for Robust and Plausible Naïve Bayes. 13 - Carmine Massarelli:
Super-Resolution of Sentinel-2 Satellite Images: A Comparison of Different Interpolation Methods for Spatial Knowledge Extraction. 14 - Flavia Pennisi, Antonio Pinto, Fabio Borgonovo, Giovanni Scaglione, Riccardo Ligresti, Omar Enzo Santangelo, Sandro Provenzano, Andrea Gori, Vincenzo Baldo, Carlo Signorelli, Vincenza Gianfredi:
Artificial Intelligence Models for Forecasting Mosquito-Borne Viral Diseases in Human Populations: A Global Systematic Review and Comparative Performance Analysis. 15 - Joan Gil, Paula de Pedro-Campos, Cristina Carrato, Pol Jardí-Yanes, Montserrat Marques-Pamies, Helena Rodríguez-Lloveras, Anna Rueda-Pujol, Jennifer Marcos-Ruiz, Elena Martinez-Saez, Clara V. Alvarez, Ignacio Bernabéu, Elias Delgado, Cristina Lamas, Antonio Picó, Susan M. Webb, Edelmiro Menéndez-Torre, Rebeca Martínez-Hernández, Miguel Sampedro, Anna Aulinas, Betina Biagetti, Mónica Marazuela, Elena Valassi, Mireia Jordà, Manel Puig-Domingo:
Assessing the Value of Data-Driven Frameworks for Personalized Medicine in Pituitary Tumours: A Critical Overview. 16 - Yuntao Xu, Bing Chen, Feng Hu, Jiawei Liu, Changjie Zhao, Hongtao Wu:
MBS: A Modality-Balanced Strategy for Multimodal Sample Selection. 17 - Ammara Laeeq, Jie Li, Usman Adeel:
A Hybrid LSTM-Attention Model for Multivariate Time Series Imputation: Evaluation on Environmental Datasets. 18 - Malek Malkawi, Reda Alhajj:
AI-Powered Vulnerability Detection and Patch Management in Cybersecurity: A Systematic Review of Techniques, Challenges, and Emerging Trends. 19 - Adam Wasilewski, Janusz Sobecki:
Machine Learning-Based Three-Way Decision Model for E-Commerce Adaptive User Interfaces. 20 - Blaz Dobravec, Jure Zabkar:
Scenario-Guided Temporal Prototypes in Reinforcement Learning. 21 - Drejc Pesjak, Jure Zabkar:
Robot Planning via LLM Proposals and Symbolic Verification. 22 - Wei-Ting Luo, Ting-Wei Wang:
Artificial Intelligence for Predicting Treatment Response in Neovascular Age Macular Degeneration with Anti-VEGF: A Systematic Review and Meta-Analysis. 23 - Sebastian Roth, Adrien Cerrito, Samuel Orth, Ulrich Hartmann, Daniel Friemert:
COVAS: Highlighting the Importance of Outliers in Classification Through Explainable AI. 24 - Aziz Abibulaiev, Petro Pukach, Myroslava Vovk:
Context-Aware ML/NLP Pipeline for Real-Time Anomaly Detection and Risk Assessment in Cloud API Traffic. 25
Volume 8, Number 2, 2026
- Rubina Akter Rabeya, Jeong-Wook Seo, Nam Hoon Cho, Hee-Cheol Kim, Heung-Kook Choi:
Transformer-Driven Semi-Supervised Learning for Prostate Cancer Histopathology: A DINOv2-TransUNet Framework. - Yanche Ari Kustiawan, Khairil Imran Bin Ghauth, Sakina Ghauth, Liew Yew Toong, Sien Hui Tan:
Artificial Intelligence Techniques for Thyroid Cancer Classification: A Systematic Review. - Luca Marconi, Luca Longo, Federico Cabitza:
Assessing Interaction Quality in Human-AI Dialogue: An Integrative Review and Multi-Layer Framework for Conversational Agents. - Tsitsi Zengeya, Jean Vincent Fonou Dombeu, Mandlenkosi Victor Gwetu:
Axiom Generation for Automated Ontology Construction from Texts Through Schema Mapping. - Farhana Begum, Craig Scott, Kofi Nyarko, Mansoureh Jeihani, Fahmi Khalifa:
Hierarchical Caching for Agentic Workflows: A Multi-Level Architecture to Reduce Tool Execution Overhead. - Shirin Shila, Md. Safayat Hossain, Md Fuyad Al Masud, Mohammad Badrul Alam Miah, Afrig Aminuddin, Zia Muhammad:
Attention-Driven Feature Extraction for XAI in Histopathology Leveraging a Hybrid Xception Architecture for Multi-Cancer Diagnosis. - Marek Socha, Agata Durawa, Malgorzata Jelito, Katarzyna Dziadziuszko, Witold Rzyman, Edyta Szurowska, Joanna Polanska:
Manifold Integration of Lung Emphysema Signatures (MILES): A Radiomic-Based Study. - Hemn Barzan Abdalla, Awder M. Ahmed:
Optimal Information Retrieval System in E-Learning Using Optimization-Driven Bidirectional Long Short-Term Memory. - Mohamed A. Abdelhamed, Hana M. Nassef, Sara Abdelnasser, Sahar Selim, Lobna A. Said:
AuraViT-FL: A Resource-Efficient 2D Hybrid Transformer Framework for Federated Lung Tumor Segmentation. - Tuba Nur Subasi, Abdulhamit Subasi:
Migraine and Epilepsy Discrimination Using DTCWT and Random Subspace Ensemble Classifier. - Frida Milella, Federico Cabitza:
Perceiving AI as an Epistemic Authority or Algority: A User Study on the Human Attribution of Authority to AI. - Lars Wilhelmi, Christian Bruns, Matthias Schumann:
Enhancing the Extraction of GHG Emission-Reduction Targets from Sustainability Reports Using Vision Language Models. - Sebastiano Gangemi, Alessandro Allegra, Mario Di Gioacchino, Luca Gammeri, Irene Cacciola, Giorgio Walter Canonica:
The Innovative Potential of Artificial Intelligence Applied to Patient Registries to Implement Clinical Guidelines. - Renyuan Shen, Yong Wang, Huaiyang Liu, Haiyang Gu, Changxing Geng, Yun Shi:
Visual Perception and Robust Autonomous Following for Orchard Transportation Robots Based on DeepDIMP-ReID. - Omneya Attallah:
MERGE: Mammogram-Enhanced Representation via Wavelet-Guided CNNs for Computer-Aided Diagnosis of Breast Cancer. - Somaiya Al Shuraiqi, Adhari Alzaabi, Abdulrahman Khalifa Aal Abdulsalam:
Prompt Engineering Strategies for Generating Medical Case-Based MCQs with Large Language Models: A Multi-Model Comparative Study. - Philipp Brunner, Stefanie Vogl:
Extracting Product Improvement Insights from Social Media Comments Using Machine Learning: A Case Study in the Automotive Industry. - Aristeidis Karras, Leonidas Theodorakopoulos, Christos N. Karras, Alexandra Theodoropoulou:
Towards LLM-Driven Cybersecurity in Autonomous Vehicles: A Big Data-Empowered Framework with Emerging Technologies. - Atif Latif, Masoumeh Hashemi, Matthew Yost, Somayeh Esmaeili, Xiaojun Qi:
Improving Ground Cover Crop Fractional Vegetation Mapping via Causality-Based Deep Representation Learning. - Wei Dong, Han Zhou, Terry Ji, Jun Chen:
Towards Adaptive Adverse Weather Removal via Semantic and Low-Level Visual Perceptual Priors. - Haiyang Gu, Yong Wang, Huaiyang Liu, Tong Tian, Changxing Geng, Yun Shi:
SkySeg-Net: Sky Segmentation-Based Row-Terminal Recognition in Trellised Orchards. - Sara Husam Nassar, Rachid Hedjam, Samir Brahim Belhaouari:
Novel Loss Functions for Improved Data Visualization in t-SNE. - Mustafa Abdulkadhim, Sándor R. Répás:
Introducing LEAF: LLM Edge Assessment Framework for Generative AI on the Edge. - Sebastian Rojas-Ordoñez, Mikel Segura, Irune Yarza, Veronica Mendoza, Ekaitz Zulueta:
Plug-and-Play LLM Knowledge Extraction for Robot Navigation: A Fine-Tuning-Free Edge Framework. - Nor Saiful Azam Bin Nor Azmi, Michal Ptaszynski, Fumito Masui, Abu Nowhash Chowdhury:
Why So Meme? A Comparative and Explainable Analysis of Multimodal Hateful Meme Detection. - Nicola Furnitto, Giuseppe Todde, Maria Spagnuolo, Giuseppe Sottosanti, Maria Caria, Giampaolo Schillaci, Sabina Failla:
Innovations in Robots for Weed and Pest Control: A Systematic Review of Cutting-Edge Research. - Lakhdar Remaki:
Kernel-Based Optimal Subspaces (KOS): A Method for Data Classification. - Hesham Kamal, Maggie Mashaly:
Shared Autoencoder-Based Unified Intrusion Detection Across Heterogeneous Datasets for Binary and Multi-Class Classification Using a Hybrid CNN-DNN Model.
Volume 8, Number 3, 2026
- Abdulrazaq Nafiu Abubakar, Ali Nasir, Abdul-Wahid A. Saif:
Deceptive Waypoint Sequencing Based UAV-UAV Interception Control Using DBSCAN Learning Strategy. - Ismail Lamaakal, Chaymae Yahyati, Yassine Maleh, Khalid El Makkaoui, Ibrahim Ouahbi:
Explainable Kolmogorov-Arnold Networks for Zero-Shot Human Activity Recognition on TinyML Edge Devices. - Elena Ryumina, Alexandr Axyonov, Darya Koryakovskaya, Timur Abdulkadirov, Angelina Egorova, Sergey Fedchin, Alexander Zaburdaev, Dmitry Ryumin:
SSL-MEPR: A Semi-Supervised Multi-Task Cross-Domain Learning Framework for Multimodal Emotion and Personality Recognition. - Daisuke Akiba:
The Illusion of Causality in LLMs: A Developmentally Grounded Analysis of Semantic Scaffolding and Benchmark-Capability Mismatches. - Michael Nofer, Valdrin Nimani, Oliver Hinz:
DeepHits: A Multimodal CNN Approach to Hit Song Prediction. - Polydoros N. Papadopoulos, Vasilis N. Burganos:
Fourier-Feature Neural Surrogate for Hemodynamic Field Reconstruction in Stenotic and Bifurcating Flows. - Tea Krcmar, Dina Sabanovic, Miljenko Svarcmajer, Ivica Lukic:
What Knowledge Transfers in Tabular Anomaly Detection? A Teacher-Student Distillation Analysis. - Jadeyn Feng, Allison Lau, Melinda Hodkiewicz, Caitlin Woods, Michael Stewart:
Semantic and Engineering-Based Embedding for Classification List Development. - Mahshid Dehghanpour, Mansoor Fateh, Zeynab Mohammadpoory, Saideh Ferdowsi:
KhayyamNet: A Parallel Multiscale Feature Fusion Framework for Accurate Diagnosis of Multiple Sclerosis and Myelitis. - Ivan P. Malashin, Dmitry Martysyuk, Vadim Tynchenko, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksei S. Borodulin:
Soft-Prompted Semantic Normalization for Unsupervised Analysis of the Scientific Literature. - Richard Coric, Ebenezer F. Oloyede, Heriberto Cuayáhuitl:
Helpful or Harmful? Re-Evaluating Frugality in Retrieval-Augmented Generation for Medical Question Answering. - Juuso Eronen, Michal Ptaszynski, Tomasz Wicherkiewicz, Robert Borges, Katarzyna Janic, Zhenzhen Liu, Tanjim Mahmud, Fumito Masui:
Language Models Are Polyglots: Language Similarity Predicts Cross-Lingual Transfer Learning Performance. - Shafiullah Qureshi, Ba Chu, Fanny S. Demers, Najib Khan, Ateeq-ur-Rehman Irshad:
Dynamic Feature Selection for Canadian GDP Forecasting: Machine Learning with Google Trends and Official Data. - Fazliddin Makhmudov, Gayrat Juraev, Ozod Yusupov, Parvina Nasriddinova, Dusmurod Kilichev:
Drift-Aware Online Ensemble Learning for Real-Time Cybersecurity in Internet of Medical Things Networks. - Abdalla Y. Almarzooqi, Mohamed G. Arab, Maher Omar, Emran Alotaibi:
ML-Driven Decision Support for Dynamic Modeling of Calcareous Sands. - Francisco Herrera, Salvador García, María José del Jesus, Luciano Sánchez, Marcos López de Prado:
Co-Explainers: A Position on Interactive XAI for Human-AI Collaboration as a Harm-Mitigation Infrastructure. - Ponciano Jorge Escamilla-Ambrosio, Brandon Iván Méndez-Barrera, Alberto Jorge Rosales-Silva, Gina Gallegos-García, Gilberto Lorenzo Martínez-Luna:
A Procedure for Vulnerability Analysis and Countermeasures in IoT Systems Based on Their Components Characteristics. - Ensieh Alipour, Seyed Mohammad-Bagher Malaek:
A Novel Airport-Dependent Landing Procedure Based on Real-World Landing Trajectories. - Xeniya Bashkova, Anastasia A. Molodtsova, Nikita A. Olekhno, Alexander Hvatov:
Differential Equation Ensemble Discovery for Modeling Active Matter Based on Robotic Swarm Data. - Michel Planat:
Painlevé Confluence and 1/f Phase-Locking Dynamics: A Topological Framework for Human-AI Collaboration. - Luke Korthals, Emma Akrong, Gali Geller, Hannes Rosenbusch, Raoul Grasman, Ingmar Visser:
Towards Reliable LLM Grading Through Self-Consistency and Selective Human Review: Higher Accuracy, Less Work. - Lili Zhang, Quanyan Zhu:
ActivityRDI: A Centralized Solution Framework for Activity Retrieval and Detection Intelligence Based on Knowledge Graphs, Large Language Models, and Imbalanced Learning. - Anthony McCofie, Dmitry B. Goldgof, Jacqueline Hausmann, Peter R. Mouton, Yu Sun, Md Imran Hossain:
A Review of Deep Learning Model Approach for Pain Assessment in Infant Cry Sounds. - Zhe-Yu Ye, Junmu Peng, Bing-Qian Lu, Tamotsu Kamishima:
Automated Single-Slice Lumbar QCT HU Value Measurement with Clinical Workflow. - Dominik Polke, Tim Kösters, Elmar Ahle, Dirk Söffker:
Polynomial Chaos Expanded Gaussian Process. - Muhammad Abulaish, Anjali Bhardwaj:
RolEmo: A Role-Aware Commonsense-Augmented Contrastive Learning Framework for Emotion Classification. - Arley Magnolia Aquino-García, Humberto Pérez Espinosa, Javier Andreu-Perez, Ansel Y. Rodríguez-González:
Audio-Based Screening of Respiratory Diseases Using Machine Learning: A Methodological Framework Evaluated on a Clinically Validated COVID-19 Cough Dataset. - Moritz Moß, Sebastian Boldt, Gurbandurdy Dovletov, Adjie Salman, Josef Pauli, Dietmar Lerche, Marco Gleiß, Hermann Nirschl, Johannes Walter, Wolfgang Peukert:
Deep Learning-Based Synthesis, Classification and Analysis of Sedimentation Boundaries in Analytical Centrifugation Experiments. - Suliman Thwib, Radwan Qasrawi, Ghada Issa, Razan AbuGhoush, Hussein AlMasri, Marah Qawasmi:
Advancing Breast Cancer Lesion Analysis in Real-Time Sonography Through Multi-Layer Transfer Learning and Adaptive Tracking. - Wenshuai Wang, Hong Liu, Shengquan Li, Peifeng Jiang, Dandan Che, Runwei Ding:
Debiased Multiplex Tokenization Using Mamba-Based Pointers for Efficient and Versatile Map-Free Visual Relocalization.
Volume 8, Number 4, 2026
- Corneliu Florea, Eduard Barnoviciu:
Tabular Data Distillation: An Extensive Comparison. - Kevin Mallinger, Sebastian Raubitzek, Sebastian Schrittwieser, Edgar R. Weippl:
Detection and Comparative Evaluation of Noise Perturbations in Simulated Dynamical Systems and ECG Signals Using Complexity-Based Features. - Yanche Ari Kustiawan, Khairil Imran Bin Ghauth:
Quantum Machine Learning for Phishing Detection: A Systematic Review of Current Techniques, Challenges, and Future Directions. - Mohammad Fazle Rabbi:
Optimizing Carbon Capture Efficiency: Knowledge Extraction from Process Simulations of Post-Combustion Amine Scrubbing. - Shaheen Khatoon, Jibran Mir, Azhar Mahmood:
Named Entity Recognition with Feature-Enhanced BiLSTM and CRF for Fine-Grained Aspect Identification in Large-Scale Textual Reviews. - Timothy Joseph, Ahmed Dhaouadi, Jayroop Ramesh, Assim Sagahyroon, Fadi A. Aloul:
Adapting EHR Foundational Models to Predict Diabetes Complications with Precision Explainability. - Vukasin Cirovic, Vesna Rankovic, Nikola Milivojevic, Vladimir Milivojevic, Brankica Majkic-Dursun:
Fine-Tuned Nonlinear Autoregressive Recurrent Neural Network Model for Dam Displacement Time Series Prediction. - Pavel Posokhov, Stepan Skrylnikov, Sergei Masliukhin, Alina Zavgorodniaia, Olesia Koroteeva, Yuri Matveev:
Query-Adaptive Hybrid Search. - Pavlo Radiuk, Oleksander Barmak, Leonid Bedratyuk, Iurii Krak:
Equivariant Transition Matrices for Explainable Deep Learning: A Lie Group Linearization Approach. - Flavia Pennisi, Antonio Pinto, Claudia Cozzolino, Andrea Cozza, Giovanni Rezza, Carlo Signorelli, Vincenzo Baldo, Vincenza Gianfredi:
Comparative Diagnostic Performance of Artificial Intelligence Versus Conventional Approaches for Early Detection of Mosquito-Borne Viral Infections: A Systematic Review and Meta-Analysis, with Evidence Predominantly from Dengue Studies. - Vivek Dwivedi, Gregor Rozinaj, Javlon Tursunov, Ivan Minárik, Marek Vanco, Radoslav Vargic:
Deep Learning-Driven Sparse Light Field Enhancement: A CNN-LSTM Framework for Novel View Synthesis and 3D Scene Reconstruction. - Carlos Martínez, Blanca Posada, Olivia Zulaica, Laura Busto, Joaquín Triñanes, César Veiga:
KS-VAE: A Novel Variational Autoencoder Framework for Understanding Alzheimer's Disease Progression Using Kolmogorov-Smirnov Guidance. - Sarala Ghimire, Turgay Çelik, Martin Gerdes, Christian W. Omlin:
Personalized Blood Glucose Prediction Using Physiology- Informed Machine Learning. - Antonio-Jesús Banegas-Luna, Horacio Pérez Sánchez, Carlos Martinez-Cortes:
WISCA: A Consensus-Based Approach to Harmonizing Interpretability in Tabular Datasets. - Sarthak Pattnaik, Chhayank Jain, Eugene Pinsky:
Algorithmic Insights into Human Irrationality: Machine Learning Approaches to Detecting Cognitive Biases and Motivated Reasoning. - Rohan Le Roux, Siavash Khaksar, Mohammadali Sepehri, Iain Murray:
A Hybrid Game Engine-Generative AI Framework for Overcoming Data Scarcity in Open-Pit Crack Detection. - Hafida Hidani, Safâa El Ouahabi, Mouncef Filali Bouami:
Enhancing Arabic Multi-Task Sentiment Analysis Through Distillation and Adversarial Training. - Dominik Polke, Elmar Ahle, Dirk Söffker:
Adaptive Learning with Gaussian Process Regression: A Comprehensive Review of Methods and Applications. - Saim Rasheed:
Lightweight Deep Learning Models for Face Mask Detection in Real-Time Edge Environments: A Review and Future Research Directions. - Abdul Sittar, Mateja Smiljanic, Alenka Gucek, Marko Grobelnik:
Fake News Detection Through LLM-Driven Text Augmentation Across Media and Languages. - Maria C. Mariani, Sourav Malakar, Amrita Bagchi, Subhrajyoti Basu, Saptarsi Goswami, Osei Kofi Tweneboah, Sarbadeep Biswas, Ankit Dey, Ankit Sinha:
Evaluating the Efficacy of Large Language Models in Stock Market Decision-Making: A Decision-Focused, Price-Only, Multi-Country Analysis Using Historical Price Data. - Hiba Adil Al-kharsan, Róbert Rajkó:
Diffusion-Based Feature Denoising and Using NNMF for Robust Brain Tumor Classification. - Nuno Ferreira, Filipe Pinto, António Valente, Diana Augusto, Manuela Reis, Salviano Soares:
vinum-Analytics. - Sakorn Mekruksavanich, Anuchit Jitpattanakul:
Enhancing Wearable-Based Elderly Activity Recognition Through a Hybrid Deep Residual Network. - Mateus Mendes, José Torres Farinha:
MIDA - Method for Industrial Data Analysis Based on CRISP-DM. - Neelabh Kshetry, Mehmed M. Kantardzic:
Desirability Rating-Based Counterfactual (DeRaC) Framework for Complex Multi-Output Classification Problems. - Ahmed Ibrahim, Abdullah Hosseini, Hoda Helmy, Maryam Arabi, Aya AlShareef, Wafa Lakhdhar, Ahmed Serag:
MENARA: Medical Natural Arabic Response Assistant. - Zine. Eddine Louriga, Ismail Jabri, Aziza El Ouaazizi, Anass El Affar:
A Hybrid Multi-Domain Feature Fusion Model Integrating MEEMD and Dual CNN for Iris Recognition.
Volume 8, Number 5, 2026
- Mohammed Alnemari, Rizwan Qureshi, Nader Bagherzadeh:
Scaling Laws in the Tiny Regime: How Small Models Change Their Mistakes. - Ngoc Tuyen Do, Minh Nguyen-Quang, Hai Van Pham:
DPA-HiVQA: Enhancing Structured Radiology Reporting with Dual-Path Cross-Attention. - Iulia Onica, Iulian B. Ciocoiu:
Explainable Combined Spatial Representations for ECG Arrhythmia Classification. - Kinga Lasek, Michal Ptaszynski, Fumito Masui, Mujahid Jamal A. Khalifah, Juuso Eronen:
Mapping Dialectal Landscape: A Sequence-to-Sequence Approach to Japanese Dialect-to-Standard Normalization. - Chaymae Yahyati, Ismail Lamaakal, Yassine Maleh, Khalid El Makkaoui, Ibrahim Ouahbi:
A Tiny Vision-Based Model for Real-Time Student Attention Detection in Online Classes. - Vitaliy Vorobyov, Leonid Ugadiarov, Vladimir Frolov, Alexey K. Kovalev, Aleksandr I. Panov:
COMPAS: Compose Actions and Slots in Object-Centric World Models. - Elif Firinci, Mohanad Alayedi:
Supervised Machine Learning for Technical Debt in Python: Analysis and Prediction. - Helala AlShehri, Mariam Busaleh:
Morphology-Aware Multi-Scale Deep Representation Learning for Interpretable Knowledge Extraction in Brain Tumor MRI. - Vassiliy V. Serbin, Mateus Mendes, Aray Kassenkhan, Akbayan Bekarystankyzy, Gulnur Ibragim, Azamat Tolegenov:
Individual Indicators of the Learning Process for Identifying Critical Thinking in Students in Adaptive Learning. - Josue Genaro Almaraz-Rivera, Jose Antonio Cantoral-Ceballos, Juan Felipe Botero:
A Survey on Self-Supervised Learning in Cybersecurity: Network Intrusion and Malware Detection. - Daniil Pasenko, Roman V. Davydov:
CTCF: A Three-Level Coarse-to-Fine Cascade for Unsupervised Deformable Medical Image Registration. - Zaharias D. Zaharis, Emmanouil Georgios Nikopolitidis, Pavlos I. Lazaridis, Panagiotis Sarigiannidis, Sotirios K. Goudos:
Boolean Particle Swarm Optimization with 0-Mutation. - Fatemeh Tabatabaei, Hamzeh Khalili:
Selective Knowledge Reuse and Adaptive Retraining for Efficient Resource Management in Autonomous Networks. - Tymoteusz Miller:
Controlled Agentic AI Systems: A Governance-Driven Architecture for Auditable and Reproducible Decision Pipelines. - Patrik Viktor, Gábor Kiss:
Knowledge Graphs in Autonomous Driving: Construction, Integration, and Real-Time Reasoning. - Anastasia Vangelova, Adelina Aleksieva-Petrova:
An Integrated RAG and Agent-Based Architecture for Automated Assessment in Moodle. - Akylbek Maxutov, Nurali Medeu, Huseyin Atakan Varol:
Web Search-Enhanced Small Language Models: A Case Study for a Kazakh-Centric Language Model. - Rekha R. Nair, Tina Babu, Balamurugan Balusamy, Wee How Khoh, Alaa M. Momani, Basem Abu Zneid:
An Interpretable and Uncertainty-Aware Deep Learning Framework for Early Sepsis Prediction Using SHAP-Enhanced Attention and Continuous-Time Neural Networks. - Jorge Ricardo Marques Duarte, Le Gruenwald, Laurent d'Orazio, Jorge Bernardino:
Automatic Index Tuning via Quantum Deep Reinforcement Learning. - Vanesa López-Vázquez, Geovanny Satama-Bermeo, Hasan Issa Raheem, José Manuel López-Guede:
State of the Art: Analysis of Deep Learning Techniques in Images Acquired in an Aquatic Environment. - Muhammad Ebrahim Ahmadi, Monireh Hosseini:
A Quantum-Probability-Inspired Complex-Valued Model for Multilingual Stance Detection. - Teresia Ankome, Eisuke Hanada:
Reactive to Predictive Mobility Management: A Systematic Review of ML-Driven Handover Optimization in 5G and Beyond. - Khairil Imran Ghauth, Yanche Ari Kustiawan:
Explainable Artificial Intelligence (XAI) for Cancer Classification in Medical Imaging: A Systematic Review. - Saadman Sakib, Tanjim Mahmud, Karl Andersson, Kaushik Deb:
HybridHiT-UNet: Multi-Scale Temporal U-Net with Hierarchical Shot-Aware Transformers for Video Summarization. - Leon Gorissen, Jan-Niklas Schneider, Mohamed Behery, Philipp Brauner, Moritz Lennartz, David Kötter, Thomas Kaster, Oliver Petrovic, Christian Hinke, Thomas Gries, Gerhard Lakemeyer, Martina Ziefle, Christian Brecher, Constantin Häfner:
Demonstrating Data-to-Knowledge Pipelines for Connecting Production Sites in the World Wide Lab. - Mehmet Can Sakiroglu, Halil Altay Güvenir, Kamer Kaya:
Generating Multiple-Choice Knowledge Questions with Interpretable Difficulty Estimation Using Knowledge Graphs and Large Language Models. - Ratomir Karlovic, Luka Sever, Sandi Baressi Segota, Vedran Mrzljak, Ivan Lorencin:
Evaluating the Impact of Adapter-Based Fine-Tuning on Structured Parsing Performance in Large Language Models. - Ayoub Ben Cheikhi, El Habib Nfaoui, Oumayma Elbiach:
A Directional Semantic Enhancement Approach with Gated Fusion for Multimodal Arabic Sentiment Analysis.
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