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Table of Contents Artificial Intelligence Applications and Innovations Ilias Maglogiannis, Lazaros Iliadis, John Macintyre, Paulo Cortez Front Matter Adaptive Modeling/Cloud Data Models A Second-Order Adaptive Decision Model for Proceeding or Terminating a Pregnancy Lisa Elderhorst, Melissa van Den Berge, Jan Treur 3-15 A Self-adaptive Learning Music Composition Algorithm as Virtual Tutor Michele Della Ventura 16-26 Dynamic Big Data Drift Visualization of CPU and Memory Resource Usage in Cloud Computing Tajwar Mehmood, Seemab Latif 27-36 On the Interplay of Interpersonal Synchrony, Short-Term Affiliation and Long-Term Bonding: A Second-Order Multi-adaptive Neural Agent Model Sophie Hendrikse, Jan Treur, Tom F. Wilderjans, Suzanne Dikker, Sander L. Koole 37-57 When Domain Adaptation Meets Semi-supervised Learning Through Optimal Transport Mourad El Hamri, Younès Bennani, Issam Falih 58-69 Cybersecurity Fraud Intrusion/Anomaly Detection A Novel GBT-Based Approach for Cross-Channel Fraud Detection on Real-World Banking Transactions Uğur Dolu, Emre Sefer 73-84 An Empirical Study on Anomaly Detection Algorithms for Extremely Imbalanced Datasets Gonçalo Fontes, Luís Miguel Matos, Arthur Matta, André Pilastri, Paulo Cortez 85-95 Anomaly Detection Using Edge Computing AI on Low Powered Devices Dragoș-Vasile Bratu, Rareş Ilinoiu, Alexandru Cristea, Maria-Alexandra Zolya, Sorin-Aurel Moraru 96-107 Enhanced Dependency-Based Feature Selection to Improve Anomaly Network Intrusion Detection K. Bennaceur, Z. Sahraoui, M. A. Nacer 108-115 HEDL-IDS: A Hybrid Ensemble Deep Learning Approach for Cyber Intrusion Detection Anastasios Panagiotis Psathas, Lazaros Iliadis, Antonios Papaleonidas, Dimitris Bountas 116-131 Random Forest Based on Federated Learning for Intrusion Detection Tijana Markovic, Miguel Leon, David Buffoni, Sasikumar Punnekkat 132-144 Towards Semantic Modeling and Simulation of Cybersecurity on the Internet of Underwater Things Stavros Stavrinos, Konstantinos Kotis, Christos Kalloniatis 145-156 Deep Learning - Convolutional An Efficient Deep Learning Framework for Face Mask Detection in Complex Scenes Sultan Daud Khan, Rafi Ullah, Mussadiq Abdul Rahim, Muhammad Rashid, Zulfiqar Ali, Mohib Ullah, Habib Ullah 159-169 An Efficient Method for Addressing COVID-19 Proximity Related Issues in Autonomous Shuttles Public Transportation Dimitris Tsiktsiris, Antonios Lalas, Minas Dasygenis, Konstantinos Votis, Dimitrios Tzovaras 170-179 Automatic Semi-quantitative Histological Assessment of Tissue Traits Using a Smart Web Application Olympia Giannou, Dimitra E. Zazara, Anastasios D. Giannou, Petra Clara Arck, Georgios Pavlidis 180-191 MERLIN: Identifying Inaccuracies in Multiple Sequence Alignments Using Object Detection Hiba Khodji, Lucille Herbay, Pierre Collet, Julie Thompson, and Anne Jeannin-Girardon 192-203 PigPose: A Realtime Framework for Farm Animal Pose Estimation and Tracking Milan Kresovic, Thong Nguyen, Mohib Ullah, Hina Afridi, Faouzi Alaya Cheikh 204-215 Speech Emotion Recognition from Earnings Conference Calls in Predicting Corporate Financial Distress Petr Hajek 216-228 The Bonsai Hypothesis: An Efficient Network Pruning Technique Yasuaki Ito, Koji Nakano, Akihiko Kasagi 229-241 Deep Learning - Recurrent/Reinforcement Deep Recurrent Neural Networks for OYO Hotels Recommendation Anshul Rankawat, Rahul Kumar, Arun Kumar 245-256 Fine-Grained Double-View Link Prediction Within the Dynamic Interaction Network Jianye Pang, Wei Ke 257-269 MTMA-DDPG: A Deep Deterministic Policy Gradient Reinforcement Learning for Multi-task Multi-agent Environments Karim Hamadeh, Julia El Zini, Joudi Hajar, Mariette Awad 270-281 Reinforcement Learning Approach for Multi-period Inventory with Stochastic Demand Manoj Shakya, Huey Yuen Ng, Darrell Joshua Ong, Bu-Sung Lee 282-291 The Neocortex-Inspired Locally Recurrent Neural Network (NILRNN) as a Model of the Primary Visual Cortex Franz A. Van-Horenbeke, Angelika Peer 292-303 TraderNet-CR: Cryptocurrency Trading with Deep Reinforcement Learning Vasilis Kochliaridis, Eleftherios Kouloumpris, Ioannis Vlahavas 304-315 Transformer-Based Zero-Shot Detection via Contrastive Learning Wei Liu, Hui Chen, Yongqiang Ma, Jianji Wang, Nanning Zheng 316-327 Energy Streams Modeling Efficient Large-Scale Machine Learning Techniques for Rapid Motif Discovery in Energy Data Streams K. K. Lykothanasi, S. Sioutas, K. Tsichlas 331-342 Energy Load Forecasting: Investigating Mid-Term Predictions with Ensemble Learners Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis 343-355 Machine Learning Techniques for Regression in Energy Disaggregation Spyros Sioutas, Konstantinos Tsichlas, Christos Konstantopoulos 356-366 Evolutionary/Biologically Inspired Modeling and Brain Modeling Biologically Plausible Complex-Valued Neural Networks and Model Optimization Ryan Yu, Andrew Wood, Sarel Cohen, Moshick Hershcovitch, Daniel Waddington, Peter Chin 369-382 Comparative Study by Using a Greedy Approach and Advanced Bio-Inspired Strategies in the Context of the Traveling Thief Problem Julia Garbaruk, Doina Logofătu, Florin Leon 383-393 Exploring the Relationship Between Visual Information and Language Semantic Concept in the Human Brain Haodong Jing, Ming Du, Yongqiang Ma, Nanning Zheng 394-406 Hierarchical Causality Network: Find the Effective Connectivity in Visual Cortex Ming Du, Haodong Jing, Yongqiang Ma, Nanning Zheng 407-419 The Generalization of Selection of an Appropriate Artificial Neural Network to Assess the Effort and Costs of Software Projects Dragica Rankovic, Nevena Rankovic, Mirjana Ivanovic, Ljubomir Lazic 420-431 Trade Between Population Size and Mutation Rate for GAAM (Genetic Algorithm with Aggressive Mutation) for Feature Selection Marc Chevallier, Nistor Grozavu, Faouzi Boufarès, Nicoleta Rogovschi, and Charly Clairmont 432-446 Explainable AI/Graph Representation and Processing Frameworks A Novel Human-Centred Evaluation Approach and an Argument-Based Method for Explainable Artificial Intelligence Giulia Vilone, Luca Longo 447-460 An Analysis on Graph-Processing Frameworks: Neo4j and Spark GraphX Alabbas Alhaj Ali, Doina Logofătu 461-470 Application of Graph-Based Technique to Identity Resolution Hassan Kazemian, Mohammad-Hossein Amirhosseini, Michael Phillips 471-482 Knowledge Engineering and Ontology for Crime Investigation Wilmuth Müller, Dirk Mühlenberg, Dirk Pallmer, Uwe Zeltmann, Christian Ellmauer, Konstantinos Demestichas 483-494 Quantum Approach for Vertex Separator Problem in Directed Graphs Ahmed Zaiou, Younès Bennani, Mohamed Hibti, Basarab Matei 495-506 Unsupervised Multi-sensor Anomaly Localization with Explainable AI Mina Ameli, Viktor Pfanschilling, Anar Amirli, Wolfgang Maaß, Kristian Kersting 507-519

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