Table of Contents

• A Deep Learning-Based Methodology for Detecting and Visualizing Continuous Gravitational WavesEmmanuel G. Pintelas, Ioannis E. Livieris, Panagiotis P. Pintelas. 3-14 [doi]
• A Sharpe Ratio Based Reward Scheme in Deep Reinforcement Learning for Financial TradingGeorgios Rodinos, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas. 15-23 [doi]
• Algorithmic Forex Trading Using Q-learningHasna Haifa Zahrah, Jimmy Tirtawangsa. 24-35 [doi]
• Control of a Water Tank System with Value Function ApproximationShamal Lalvani, Aggelos K. Katsaggelos. 36-44 [doi]
• Decentralized Multi Agent Deep Reinforcement Q-Learning for Intelligent Traffic ControllerThamilselvam B, Subrahmanyam Kalyanasundaram, M. V. Panduranga Rao. 45-56 [doi]
• Deep Learning Based Employee Attrition PredictionKerem Gurler, Burcu Kuleli Pak, Vehbi Cagri Gungor. 57-68 [doi]
• Deep Reinforcement Learning for Robust Goal-Based Wealth ManagementTessa Bauman, Bruno Gasperov, Stjepan Begusic, Zvonko Kostanjcar. 69-80 [doi]
• DeNISE: Deep Networks for Improved Segmentation EdgesSander Riisøen Jyhne, Jørgen Åsbu Jacobsen, Morten Goodwin, Per-Arne Andersen. 81-89 [doi]
• Detecting P300-ERPs Building a Post-validation Neural Ensemble with Informative Neurons from a Recurrent Neural NetworkChristian Oliva, Vinicio Changoluisa, Francisco B. Rodríguez, Luis Fernando Lago-Fernández. 90-101 [doi]
• Energy Efficiency of Deep Learning Compression Techniques in Wearable Human Activity RecognitionChiara Contoli, Emanuele Lattanzi. 102-113 [doi]
• Enhancing Medication Event Classification with Syntax Parsing and Adversarial LearningZsolt Szántó, Balázs Bánáti, Tamás Zombori. 114-124 [doi]
• Generating Synthetic Vehicle Speed Records Using LSTMJirí Vraný, Michal Krepelka, Matej Chumlen. 125-136 [doi]
• Measuring the State-Observation-Gap in POMDPs: An Exploration of Observation Confidence and Weighting AlgorithmsYide Yu, Yan Ma, Yue Liu 0001, Dennis Wong, Kin Lei, José Vicente Egas López. 137-148 [doi]
• Predicting Colour Reflectance with Gradient Boosting and Deep LearningAsei Akanuma, Daniel Stamate, J. Mark Bishop. 149-160 [doi]
• The Importance of the Current Input in Sequence ModelingChristian Oliva, Luis Fernando Lago-Fernández. 161-172 [doi]
• Towards Historical Map Analysis Using Deep Learning TechniquesLadislav Lenc, Josef Baloun, Jirí Martínek, Pavel Král. 173-185 [doi]
• Analysis of the Lingering Effects of Covid-19 on Distance EducationBüsra Kocaçinar, Nasibullah Qarizada, Cihan Dikkaya, Emirhan Azgun, Elif Yildirim, Fatma Patlar Akbulut. 189-200 [doi]
• Exploring the Power of Failed Experiences in Case-Based Reasoning for Improved Decision MakingFateh Boulmaiz, Patrick Reignier, Stéphane Ploix. 201-213 [doi]
• Improving Customer Experience in Call Centers with Intelligent Customer-Agent PairingStylianos Filippou, Andreas Tsiartas, Petros Hadjineophytou, Spyros Christofides, Kleanthis Malialis, Christos G. Panayiotou. 214-224 [doi]
• Mind the Gap: Addressing Incompleteness Challenge in Case-Based Reasoning ApplicationsFateh Boulmaiz, Patrick Reignier, Stéphane Ploix. 225-239 [doi]
• Sentiment Analysis of Tweets on Online Education during COVID-19Elif Yildirim, Harun Yazgan, Onur Özbek, Ahmet Can Günay, Büsra Kocaçinar, Öznur Sengel, Fatma Patlar Akbulut. 240-251 [doi]
• Image Classification Using Class-Agnostic Object DetectionGeoffrey Holmes 0001, Eibe Frank, Dale Fletcher. 255-266 [doi]
• Ince-PD Model for Parkinson's Disease Prediction Using MDS-UPDRS I & II and PDQ-8 ScoreNikos Tsolakis, Christoniki Maga-Nteve, Georgios Meditskos, Stefanos Vrochidis, Ioannis Kompatsiaris. 267-278 [doi]
• Medical Knowledge Extraction from Graph-Based Modeling of Electronic Health RecordsAthanasios Kallipolitis, Parisis Gallos, Andreas Menychtas, Panayiotis Tsanakas, Ilias Maglogiannis. 279-290 [doi]
• Predicting ALzheimer's Disease with AI and Brain Imaging DataChun-Cheng Peng, Guan-Wei Lin, Jian-Min Lin, Guan-Ting Chen, Wei-Chen Liu. 291-301 [doi]
• Pre-trained Model Robustness Against GAN-Based Poisoning Attack in Medical Imaging AnalysisPakpoom Singkorapoom, Suronapee Phoomvuthisarn. 302-313 [doi]
• Semi-supervised Brain Tumor Segmentation Using Diffusion ModelsAhmed Alshenoudy, Bertram Sabrowsky-Hirsch, Stefan Thumfart, Michael Giretzlehner, Erich Kobler. 314-325 [doi]
• A Methodology for Emergency Calls Severity Prediction: From Pre-processing to BERT-Based ClassifiersMarianne Abi Kanaan, Jean-François Couchot, Christophe Guyeux, David Laiymani, Talar Atéchian, Rony Darazi. 329-342 [doi]
• A Temporal Metric-Based Efficient Approach to Predict Citation Counts of ScientistsSaumya Kumar Dewangan, Shrutilipi Bhattacharjee, Ramya D. Shetty. 343-355 [doi]
• Comparing Vectorization Techniques, Supervised and Unsupervised Classification Methods for Scientific Publication Categorization in the UNESCO TaxonomyNeil Villamizar, Jesús Wahrman, Minaya Villasana. 356-368 [doi]
• Decoding Customer Behaviour: Relevance of Web and Purchasing Behaviourin Predictive Response ModelingSuncica Rogic, Ljiljana Kascelan. 369-380 [doi]
• Exploring Pairwise Spatial Relationships for Actions Recognition and Scene Graph GenerationAnfel Amirat, Nadia Baha, Lamine Benrais. 381-392 [doi]
• Fake News Detection Utilizing Textual CuesVasiliki Chouliara, Paraskevas Koukaras, Christos Tjortjis. 393-403 [doi]
• Fusion of Learned Representations for Multimodal Sensor Data ClassificationLee B. Hinkle, Gentry Atkinson, Vangelis Metsis. 404-415 [doi]
• Hyperspectral Classification of Recyclable Plastics in Industrial SetupsGeorgios Alexakis, Michail Maniadakis. 416-428 [doi]
• Mining the Discussion of Monkeypox Misinformation on Twitter Using RoBERTaOr Elroy, Dmitry Erokhin, Nadejda Komendantova, Abraham Yosipof. 429-438 [doi]
• Multi-feature Transformer for Multiclass Cyberbullying Detection in BanglaZaman Wahid, Abdullah Al Imran. 439-451 [doi]
• Optimizing Feature Selection and Oversampling Using Metaheuristic Algorithms for Binary Fraud Detection ClassificationMariam M. Biltawi, Raneem Qaddoura, Hossam Faris. 452-462 [doi]
• Predicting Student Performance with Virtual Resources Interaction DataAlex Martínez-Martínez, Raúl Montoliu, Jesús Aguiló Salinas, Inmaculada Remolar. 463-474 [doi]
• Probabilistic Decision Trees for Predicting 12-Month University Students Likely to Experience Suicidal IdeationEfthyvoulos Drousiotis, Dan W. Joyce, Robert C. Dempsey, Alina Haines, Paul G. Spirakis, Lei Shi 0003, Simon Maskell. 475-487 [doi]
• 3D Attention Based YOLO-SWINF for Real-Time Video Object DetectionPradeep Moturi, Mukund Khanna, Kunal Singh. 491-502 [doi]
• Analysis of Data Augmentation Techniques for Mobile Robots Localization by Means of Convolutional Neural NetworksOrlando José Céspedes, Sergio Cebollada, Juan José Cabrera, Óscar Reinoso, Luis Payá. 503-514 [doi]
• Intrusion Detection Using Attention-Based CNN-LSTM ModelBan Al-Omar, Zouheir Trabelsi. 515-526 [doi]
• Real-Time Arabic Digit Spotting with TinyML-Optimized CNNs on Edge DevicesYasmine Abu Adla, Mazen A. R. Saghir, Mariette Awad. 527-538 [doi]
• Sleep Disorder Classification Using Convolutional Neural NetworksChun-Cheng Peng, Chu-Yun Kou. 539-548 [doi]
• The Effect of Tensor Rank on CNN's PerformanceEleftheria Vorgiazidou, Konstantinos Delibasis, Ilias Maglogiannis. 549-560 [doi]
• Tracking-by-Self Detection: A Self-supervised Framework for Multiple Animal TrackingC. B. Dev Narayan, Fayaz Rahman, Mohib Ullah, Faouzi Alaya Cheikh, Ali Shariq Imran, Christopher Coello, Øyvind Nordbø, G. Santhosh Kumar, Madhu S. Nair. 561-572 [doi]