Table of Contents

• Automatic Facial Expression Neutralisation Using Generative Adversarial NetworkGrina Wiem, Douik Ali. 3-12 [doi]
• Creating Ensembles of Generative Adversarial Network Discriminators for One-Class ClassificationMihai Ermaliuc, Daniel Stamate, George D. Magoulas, Ida Pu. 13-23 [doi]
• A Hybrid Deep Learning Ensemble for Cyber Intrusion DetectionAnastasios Panagiotis Psathas, Lazaros Iliadis, Antonios Papaleonidas, Dimitris Bountas. 27-41 [doi]
• Anomaly Detection by Robust Feature ReconstructionRon Triepels. 42-53 [doi]
• Deep Learning of Brain Asymmetry Images and Transfer Learning for Early Diagnosis of DementiaNitsa J. Herzog, George D. Magoulas. 57-70 [doi]
• Deep Learning Topology-Preserving EEG-Based Images for Autism Detection in InfantsCosmin Stamate, George D. Magoulas, Michael S. C. Thomas. 71-82 [doi]
• Improving the Diagnosis of Breast Cancer by Combining Visual and Semantic Feature DescriptorsGeorge Apostolopoulos, Athanasios Koutras, Dionysios Anyfantis, Ioanna Christoyianni, Evangelos Dermatas. 83-94 [doi]
• Liver Cancer Trait Detection and Classification Through Machine Learning on Smart Mobile DevicesOlympia Giannou, Anastasios D. Giannou, Dimitra E. Zazara, Dörte Kleinschmidt, Tobias Mummert, Björn Ole Stüben, Michael Gerhard Kaul, Gerhard Adam, Samuel Huber, Georgios Pavlidis. 95-108 [doi]
• Using WOA with Feed Forward Neural Network in Prediction of Subcutaneous Glucose Concentration for Type-1 Diabetic PatientsFayrouz Allam. 109-118 [doi]
• A Novel CNN-LSTM Hybrid Architecture for the Recognition of Human ActivitiesSofia Stylianou-Nikolaidou, Ioannis Vernikos, Eirini Mathe, Evaggelos Spyrou, Phivos Mylonas. 121-132 [doi]
• An Artificial Intelligence System for Endotracheal Intubation ConfirmationDror Lederman. 133-140 [doi]
• Data Fusion for Deep Learning on Transport Mode Detection: A Case StudyHugues Moreau, Andrea Vassilev, Liming Chen. 141-152 [doi]
• Deep Learning for Water Quality Classification in Water Distribution NetworksEssa Q. Shahra, Wenyan Wu 0002, Shadi Basurra, Stamatia Rizou. 153-164 [doi]
• Deep Learning Modeling of Groundwater Pollution SourcesYiannis N. Kontos, Theodosios Kassandros, Konstantinos L. Katsifarakis, Kostas D. Karatzas. 165-177 [doi]
• Deep Neural Networks for Indoor Geomagnetic Field Fingerprinting with Regression ApproachMahdi Abid, Grégoire Lefebvre. 178-189 [doi]
• Event-Detection Deep Neural Network for OTDR Trace AnalysisDavide Rutigliano, Giacomo Boracchi, Pietro Invernizzi, Enrico Sozio, Cesare Alippi, Stefano Binetti. 190-201 [doi]
• Exploring the Limits of Vanilla CNN Architectures for Fine-Grained Vision-Based Vehicle ClassificationA. Caduff, K. Zahn, J. Hofstetter, M. Rechsteiner, P. Bucher. 202-212 [doi]
• fNIRS-Based BCI Using Deep Neural Network with an Application to Deduce the Driving Mode Based on the Driver's Mental StateKazuhiko Takahashi, Reo Yokono, Chang Chu, Gauvain Huve, Masafumi Hashimoto. 213-219 [doi]
• Image Pre-processing and Segmentation for Real-Time Subsea Corrosion InspectionCraig Pirie, Carlos Francisco Moreno-Garcia. 220-231 [doi]
• Squeeze-and-Threshold Based Quantization for Low-Precision Neural NetworksBinyi Wu, Bernd Waschneck, Christian Mayr. 232-243 [doi]
• Toward an Augmented and Explainable Machine Learning Approach for Classification of Defective Nanomaterial PatchesCosimo Ieracitano, Nadia Mammone, Annunziata Paviglianiti, Francesco Carlo Morabito. 244-255 [doi]
• Addressing Computer Vision Challenges Using an Active Learning FrameworkChristina Tzogka, Ioannis Refanidis. 259-270 [doi]
• Efficient Realistic Data Generation Framework Leveraging Deep Learning-Based Human DigitizationC. Symeonidis, Paraskevi Nousi, P. Tosidis, Konstantinos Tsampazis, Nikolaos Passalis, Anastasios Tefas, N. Nikolaidis. 271-283 [doi]
• Face Detection with YOLO on EdgeAdamu Ali-Gombe, Eyad Elyan, Carlos Francisco Moreno-García, Johan Zwiegelaar. 284-292 [doi]
• Face Spoof Detection: An Experimental FrameworkFaseela Abdullakutty, Eyad Elyan, Pamela Johnston. 293-304 [doi]
• A Fuzzy Approach to Identity ResolutionAsif Nawaz, Hassan Kazemian. 307-318 [doi]
• Early Prediction of COVID-19 Onset by Fuzzy-Neuro InferenceMario Malcangi. 319-328 [doi]
• Search Problems in Contemporary Power GirdsTheofanis I. Aravanis, Andreas Petratos, Georgia Douklia, Efpraxia Plati. 331-342 [doi]
• Blockchained Adaptive Federated Auto MetaLearning BigData and DevOps CyberSecurity Architecture in Industry 4.0Konstantinos Demertzis, Lazaros Iliadis, Elias Pimenidis, Nikolaos Tziritas, Maria G. Koziri, Panagiotis Kikiras. 345-363 [doi]
• Incentivizing Participation to Distributed Neural Network TrainingSpyridon Nikolaidis, Ioannis Refanidis. 364-374 [doi]
• Contaminated Soil Detection: A Proposal Using Machine Learning and Hyperspectral ImagingFernando H. Oliveira Duarte, Levi Welington de Resende Filho, Héctor Azpúrua, André Almeida Santos, Jefferson R. Souza, Gustavo Pessin, Rosa Elvira Correa Pabon. 377-388 [doi]
• Drilling Operations Classification Utilizing Data Fusion and Machine Learning TechniquesMarzieh Zare, Jussi-Pekka Lehtinen, Hesam Jafarian, Ari Visa, Liisa Aha. 389-398 [doi]
• Impact of Classifiers to Drift Detection Method: A ComparisonAngelos Angelopoulos, Anastasios E. Giannopoulos, Nikolaos C. Kapsalis, Sotirios T. Spantideas, Lambros Sarakis, Stamatis Voliotis, Panagiotis Trakadas. 399-410 [doi]
• Inverse Kinematics via a Network Ensemble and Learning MethodJoshua Ramayrat, Teng-Sheng Moh. 411-422 [doi]
• Real-Time Multimodal Emotion Classification System in E-Learning ContextArijit Nandi, Fatos Xhafa, Laia Subirats, Santi Fort. 423-435 [doi]
• Repeatable Functionalities in Complex Layers of Formal NeuronsLeon Bobrowski, Tomasz Lukaszuk. 436-447 [doi]
• Using Artificial Neural Network to Provide Realistic Lifting Capacity in the Mobile Crane SimulationSimon Roysson, Taufik Akbar Sitompul, Rikard Lindell. 448-462 [doi]
• A Multi-modal Audience Analysis System for Predicting Popularity of Online VideosAlexandros Vrochidis, Nikolaos Dimitriou, Stelios Krinidis, Savvas Panagiotidis, Stathis Parcharidis, Dimitrios Tzovaras. 465-476 [doi]
• Recommender Systems Algorithm Selection Using Machine LearningNikolaos Polatidis, Stelios Kapetanakis, Elias Pimenidis. 477-487 [doi]
• Do Weibo Platform Experts Perform Better at Predicting Stock Market?Ziyuan Ma, Conor Ryan, Jim Buckley, Muslim Chochlov. 491-502 [doi]
• Predicting Stock Price Movement Using Financial News SentimentJiaying Gong, Bradley Paye, Gregory Kadlec, Hoda Eldardiry. 503-517 [doi]