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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, Yeufeng 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
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