Table of Contents

• Active Learning with Aggregated Uncertainties from Image AugmentationsTamás Janusko, Colin Simon, Kevin Kirsten, Serhiy Bolkun, Eric Weinzierl, Julius Gonsior, Maik Thiele. 3-16 [doi]
• An Approach to Predict Optimal Configurations for LDA-Based Topic ModelingMou Saha, Doina Logofatu. 17-27 [doi]
• An Autoencoder-Based Approach for Anomaly Detection of Machining Processes Using Acoustic Emission SignalsAntonio Nappa, Juan Luis Ferrando Chacón, Izar Azpiroz, Pedro José Arrazola. 28-40 [doi]
• An EANN-Based Recommender System for Drug RecommendationHadi Al-Mubasher, Mariette Awad. 41-55 [doi]
• Automation of the Error-Prone Pam-4 Sequence Discovery for the Purpose of High-Speed Serial Receiver Testing Using Reinforcement Learning MethodsManav Madan, Christoph Reich, Anton M. Unakafov, Valentina A. Unakafova, Alexander Schmitt. 56-69 [doi]
• Binary Black Hole Parameter Estimation from Gravitational Waves with Deep Learning MethodsPanagiotis N. Sakellariou, Spiros V. Georgakopoulos. 70-81 [doi]
• Comparative Analysis of Large Language Models in Structured Information Extraction from Job PostingsKyriaki Sioziou, Panagiotis Zervas, Kostas Giotopoulos, Giannis Tzimas. 82-92 [doi]
• Comparative Study Between Q-NAS and Traditional CNNs for Brain Tumor ClassificationFabio H. Cardoso, Marley M. B. R. Vellasco, Karla Figueiredo. 93-105 [doi]
• Deep Echo State Networks for Modelling of Industrial SystemsJosé Ramón Rodríguez-Ossorio, Claudio Gallicchio, Antonio Morán 0001, Ignacio Díaz Blanco, Juan José Fuertes 0001, Manuel Domínguez 0002. 106-119 [doi]
• Empirical Insights into Deep Learning Models for Misinformation Classification Within Constrained Data EnvironmentJayendra Ganesh Devisetti, Sanjana S, Shubhankar Kuranagatti, Abhishek Hiremath, Arti Arya. 120-133 [doi]
• Enhancing Bandwidth Efficiency for Video Motion Transfer Applications Using Deep Learning Based Keypoint PredictionXue Bai, Tasmiah Haque, Sumit Mohan, Yuliang Cai, Byungheon Jeong, Adam Halasz, Srinjoy Das. 134-151 [doi]
• Enhancing Natural Language Query to SQL Query Generation Through Classification-Based Table SelectionAnkush Chopra, Rauful Azam. 152-165 [doi]
• Exploiting LMM-Based Knowledge for Image Classification TasksMaria Tzelepi, Vasileios Mezaris. 166-177 [doi]
• HEADS: Hybrid Ensemble Anomaly Detection System for Internet-of-Things NetworksZeeshan Ahmad, Andrei Petrovski 0001, Murshedul Arifeen, Adnan Shahid Khan, Syed Aziz Shah. 178-190 [doi]
• 2: An Innovative Hybrid Ensemble Deep Learning Prototype for Cyber Intrusion DetectionAnastasios Panagiotis Psathas, Lazaros S. Iliadis, Antonios Papaleonidas, Elias Pimenidis. 191-206 [doi]
• Intelligent Framework for Monitoring Student Emotions During Online LearningAyoub Sassi, Safa Cherif, Wael Jaafar. 207-219 [doi]
• Leveraging Diverse Data Sources for Enhanced Prediction of Severe Weather-Related Disruptions Across Different Time HorizonsHussain Otudi, Shelly Gupta, Zoran Obradovic. 220-234 [doi]
• Machine Learning-Based Detection and Classification of Neurodevelopmental Disorders from Speech PatternsEl Omari Mouad, Belmajdoub Hanae, Minaoui Khalid. 235-246 [doi]
• Neural SDE-Based Epistemic Uncertainty Quantification in Deep Neural NetworksAabila Tharzeen, Shweta Dahale, Balasubramaniam Natarajan. 247-258 [doi]
• Robust Traffic Prediction Using Probabilistic Spatio-Temporal Graph Convolutional NetworkAtkia Akila Karim, Naushin Nower. 259-273 [doi]
• Support Vector Based Anomaly Detection in Federated LearningMassimo Frasson, Dario Malchiodi. 274-287 [doi]
• Towards Digitisation of Technical Drawings in Architecture: Evaluation of CNN Classification on the Perdaw DatasetAlexandru Filip, Stella Graßhof. 288-300 [doi]
• YOLOv5 and Residual Network for Intelligent Text Recognition on Degraded Serial Number PlatesAmos Yu Xuan Tham, Cheng Siong Chin. 301-314 [doi]
• A Spike Vision Approach for Multi-object Detection and Generating Dataset Using Multi-core Architecture on Edge DeviceSanaullah, Shamini Koravuna, Ulrich Rückert 0001, Thorsten Jungeblut. 317-328 [doi]
• Ensembles of Bidirectional LSTM and GRU Neural Nets for Predicting Mother-Infant Synchrony in VideosDaniel Stamate, Pradyumna Davuloori, Doina Logofatu, Evelyne Mercure, Caspar Addyman, Mark Tomlinson. 329-342 [doi]
• 1 Regularization in Formal NeuronsLeon Bobrowski. 343-353 [doi]
• Graph-Based Fault Localization in Python Projects with Class-Imbalanced LearningApoorva Anand Kulkarni, Divya G. Niranjan, Noel Saju, P. Rakshith Shenoy, Arti Arya. 354-368 [doi]
• HCER: Hierarchical Clustering-Ensemble RegressorPetros Barmpas, Panagiotis Anagnostou, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos. 369-378 [doi]
• Machine Learning Modeling in Industrial Processes for Visual AnalysisAntonio Morán 0001, Serafín Alonso, Juan José Fuertes 0001, Miguel A. Prada, Lidia Roca, Manuel Domínguez 0002. 379-391 [doi]
• Machine Learning Modeling to Provide Assistance to Basketball CoachesEduardo Véras Argento, Marley M. B. R. Vellasco, José Franco Machado do Amaral, Karla Figueiredo, Meyer Nigri. 392-404 [doi]
• Understanding Users' Confidence in Spoken Queries for Conversational Search SystemsYoujing Yu, Zhengxiang Shi, Aldo Lipani. 405-418 [doi]
• Unsupervised Anomaly Detection Combining PCA and Neural GasesMarco Vannucci, Valentina Colla, Antonella Zaccara, Stefano Dettori, Laura Laid. 419-432 [doi]
• A New Approach to Learn Spatio-Spectral Texture Representation with Randomized Networks: Application to Brazilian Plant Species IdentificationRicardo T. Fares, Lucas C. Ribas. 435-449 [doi]
• Application of Directional Vectors for Independent Subspaces in the Bio-Inspired NetworksNaohiro Ishii, Kazunori Iwata 0001, Kazuya Odagiri, Tokuro Matsuo. 450-462 [doi]
• Assessing the Impact of Preprocessing Pipelines on fMRI Based Autism Spectrum Disorder Classification: ABIDE II ResultsFatima Ez-Zahraa Bazay, Ahmed Drissi El Maliani. 463-477 [doi]
• Data-Driven Methods for Wi-Fi Anomaly DetectionTelma Garção, Joana Sousa, Luis André, Carlos Alves, Nuno Felizardo, Carlos Silva, João Ferreira. 478-491 [doi]
• Discrete-Time Replicator Equations on Parallel Neural NetworksArmen Bagdasaryan, Antonios Kalampakas, Mansoor Saburov. 492-503 [doi]
• Evaluating Forecast Distributions in Neural Network HAR-Type Models for Range-Based VolatilityMichele La Rocca 0001, Cira Perna. 504-517 [doi]
• Machine Learning Classification of Water Conductivity Raw Values of "Faneromeni" Reservoir in CreteLazaros S. Iliadis, Kiourt Nichat, Christos Akratos, Antonis Papaleonidas. 518-529 [doi]
• Machine Learning-Based Feature Mapping for Enhanced Understanding of the Housing MarketMichael Sahl Lystbæk, Tharsika Pakeerathan Srirajan. 530-543 [doi]
• Machine Learning-Driven Improvements in HRV Artifact Correction for Psychosis Prediction in the Schizophrenia SpectrumParaskevi V. Tsakmaki, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos. 544-557 [doi]
• Machine Unlearning, A Comparative AnalysisZiad Doughan, Sari Itani. 558-568 [doi]
• Security Analysis of Cryptographic Algorithms: Hints from Machine LearningMattia Paravisi, Andrea Visconti, Dario Malchiodi. 569-580 [doi]