index - Artificial Intelligence Applications and Innovations

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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Adaptive Modeling/Cloud Data Models

Cybersecurity Fraud Intrusion/Anomaly Detection

Deep Learning - Convolutional

Deep Learning - Recurrent/Reinforcement

Energy Streams Modeling

Evolutionary/Biologically Inspired Modeling and Brain Modeling

Explainable AI/Graph Representation and Processing Frameworks

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