Artificial Intelligence Applications and Innovations : 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part II

This 2 volume-set of IFIP AICT 583 and 584 constitutes the refereed proceedings of the 16th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2020, held in Neos Marmaras, Greece, in June 2020.\* The 70 full papers and 5 short papers presented were carefully reviewed and selected from 149 submissions. They cover a broad range of topics related to technical, legal, and ethical aspects of artificial intelligence systems and their applications and are organized in the following sections: Part I: classification; clustering - unsupervised learning -analytics; image processing; learning algorithms; neural network modeling; object tracking - object detection systems; ontologies - AI; and sentiment analysis - recommender systems. Part II: AI ethics - law; AI constraints; deep learning - LSTM; fuzzy algebra - fuzzy systems; machine learning; medical - health systems; and natural language.\*The conference was held virtually due to the COVID-19 pandemic. Front Matter ....Pages i-xxviii Front Matter ....Pages 1-1 The Ethos of Artificial Intelligence as a Legal Personality in a Globalized Space: Examining the Overhaul of the Post-liberal Technological Order ( Abhivardhan)....Pages 3-14 Trustworthy AI Needs Unbiased Dictators! (Kian Abolfazlian)....Pages 15-23 Front Matter ....Pages 25-25 An Introduction of FD-Complete Constraints (Sven Löffler, Ke Liu, Petra Hofstedt)....Pages 27-38 Backward-Forward Sequence Generative Network for Multiple Lexical Constraints (Seemab Latif, Sarmad Bashir, Mir Muntasar Ali Agha, Rabia Latif)....Pages 39-50 Front Matter ....Pages 51-51 Deep Echo State Networks in Industrial Applications (Stefano Dettori, Ismael Matino, Valentina Colla, Ramon Speets)....Pages 53-63 Deepbots: A Webots-Based Deep Reinforcement Learning Framework for Robotics (M. Kirtas, K. Tsampazis, N. Passalis, A. Tefas)....Pages 64-75 Innovative Deep Neural Network Fusion for Pairwise Translation Evaluation (Despoina Mouratidis, Katia Lida Kermanidis, Vilelmini Sosoni)....Pages 76-87 Introducing an Edge-Native Deep Learning Platform for Exergames (Antonis Pardos, Andreas Menychtas, Ilias Maglogiannis)....Pages 88-98 Investigating the Problem of Cryptocurrency Price Prediction: A Deep Learning Approach (Emmanuel Pintelas, Ioannis E. Livieris, Stavros Stavroyiannis, Theodore Kotsilieris, Panagiotis Pintelas)....Pages 99-110 Regularized Evolution for Macro Neural Architecture Search (George Kyriakides, Konstantinos Margaritis)....Pages 111-122 Using Multimodal Contextual Process Information for the Supervised Detection of Connector Lock Events (David Bricher, Andreas Müller)....Pages 123-134 A Machine Learning Model to Detect Speech and Reading Pathologies (Fabio Fassetti, Ilaria Fassetti)....Pages 135-142 Forecasting Hazard Level of Air Pollutants Using LSTM’s (Saba Gul, Gul Muhammad Khan)....Pages 143-153 Front Matter ....Pages 155-155 Hypotheses Tests Using Non-asymptotic Fuzzy Estimators and Fuzzy Critical Values (Nikos Mylonas, Basil Papadopoulos)....Pages 157-166 Preservation of the Exchange Principle via Lattice Operations on (S,N)– Implications (Dimitrios S. Grammatikopoulos, Basil K. Papadopoulos)....Pages 167-179 Versatile Internet of Things for Agriculture: An eXplainable AI Approach (Nikolaos L. Tsakiridis, Themistoklis Diamantopoulos, Andreas L. Symeonidis, John B. Theocharis, Athanasios Iossifides, Periklis Chatzimisios et al.)....Pages 180-191 Front Matter ....Pages 193-193 Acoustic Resonance Testing of Glass IV Bottles (Ivan Kraljevski, Frank Duckhorn, Yong Chul Ju, Constanze Tschoepe, Matthias Wolff)....Pages 195-206 AI Based Real-Time Signal Reconstruction for Wind Farm with SCADA Sensor Failure (Nadia Masood Khan, Gul Muhammad Khan, Peter Matthews)....Pages 207-218 Autonomous Navigation for Drone Swarms in GPS-Denied Environments Using Structured Learning (William Power, Martin Pavlovski, Daniel Saranovic, Ivan Stojkovic, Zoran Obradovic)....Pages 219-231 Chemical Laboratories 4.0: A Two-Stage Machine Learning System for Predicting the Arrival of Samples (António João Silva, Paulo Cortez, André Pilastri)....Pages 232-243 Predicting Physical Properties of Woven Fabrics via Automated Machine Learning and Textile Design and Finishing Features (Rui Ribeiro, André Pilastri, Carla Moura, Filipe Rodrigues, Rita Rocha, José Morgado et al.)....Pages 244-255 Real-Time Surf Manoeuvres’ Detection Using Smartphones’ Inertial Sensors (Dinis Moreira, Diana Gomes, Ricardo Graça, Dániel Bányay, Patrícia Ferreira)....Pages 256-267 SDN-Enabled IoT Anomaly Detection Using Ensemble Learning (Enkhtur Tsogbaatar, Monowar H. Bhuyan, Yuzo Taenaka, Doudou Fall, Khishigjargal Gonchigsumlaa, Erik Elmroth et al.)....Pages 268-280 Harnessing Social Interactions on Twitter for Smart Transportation Using Machine Learning (Narayan Chaturvedi, Durga Toshniwal, Manoranjan Parida)....Pages 281-290 Front Matter ....Pages 291-291 An Intelligent Cloud-Based Platform for Effective Monitoring of Patients with Psychotic Disorders (Ilias Maglogiannis, Athanasia Zlatintsi, Andreas Menychtas, Dennis Papadimatos, Panayiotis P. Filntisis, Niki Efthymiou et al.)....Pages 293-307 Applying Deep Learning to Predicting Dementia and Mild Cognitive Impairment (Daniel Stamate, Richard Smith, Ruslan Tsygancov, Rostislav Vorobev, John Langham, Daniel Stahl et al.)....Pages 308-319 Bridging the Gap Between AI and Healthcare Sides: Towards Developing Clinically Relevant AI-Powered Diagnosis Systems (Changhee Han, Leonardo Rundo, Kohei Murao, Takafumi Nemoto, Hideki Nakayama)....Pages 320-333 Know Yourself: An Adaptive Causal Network Model for Therapeutic Intervention for Regaining Cognitive Control (Nimat Ullah, Jan Treur)....Pages 334-346 Multi-omics Data and Analytics Integration in Ovarian Cancer (Archana Bhardwaj, Kristel Van Steen)....Pages 347-357 Overlap-Based Undersampling Method for Classification of Imbalanced Medical Datasets (Pattaramon Vuttipittayamongkol, Eyad Elyan)....Pages 358-369 Front Matter ....Pages 371-371 An Overview of Chatbot Technology (Eleni Adamopoulou, Lefteris Moussiades)....Pages 373-383 Applying an Intelligent Personal Agent on a Smart Home Using a Novel Dialogue Generator (Anastasios Alexiadis, Alexandros Nizamis, Ioannis Koskinas, Dimosthenis Ioannidis, Konstantinos Votis, Dimitrios Tzovaras)....Pages 384-395 Exploring NLP and Information Extraction to Jointly Address Question Generation and Answering (Pedro Azevedo, Bernardo Leite, Henrique Lopes Cardoso, Daniel Castro Silva, Luís Paulo Reis)....Pages 396-407 Hong Kong Protests: Using Natural Language Processing for Fake News Detection on Twitter (Alexandros Zervopoulos, Aikaterini Georgia Alvanou, Konstantinos Bezas, Asterios Papamichail, Manolis Maragoudakis, Katia Kermanidis)....Pages 408-419 On the Learnability of Concepts (Adam Sutton, Nello Cristianini)....Pages 420-432 Towards Fashion Recommendation: An AI System for Clothing Data Retrieval and Analysis (Maria Th. Kotouza, Sotirios–Filippos Tsarouchis, Alexandros-Charalampos Kyprianidis, Antonios C. Chrysopoulos, Pericles A. Mitkas)....Pages 433-444 Greek Lyrics Generation (Orestis Lampridis, Athanasios Kefalas, Petros Tzallas)....Pages 445-454 Correction to: An Intelligent Cloud-Based Platform for Effective Monitoring of Patients with Psychotic Disorders (Ilias Maglogiannis, Athanasia Zlatintsi, Andreas Menychtas, Dennis Papadimatos, Panayiotis P. Filntisis, Niki Efthymiou et al.)....Pages C1-C1 Back Matter ....Pages 455-458 This 2 volume-set of IFIP AICT 583 and 584 constitutes the refereed proceedings of the 16th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2020, held in Neos Marmaras, Greece, in June 2020.* The 70 full papers and 5 short papers presented were carefully reviewed and selected from 149 submissions. They cover a broad range of topics related to technical, legal, and ethical aspects of artificial intelligence systems and their applications and are organized in the following sections: Part I: classification; clustering - unsupervised learning -analytics; image processing; learning algorithms; neural network modeling; object tracking - object detection systems; ontologies - AI; and sentiment analysis - recommender systems. Part II: AI ethics - law; AI constraints; deep learning - LSTM; fuzzy algebra - fuzzy systems; machine learning; medical - health systems; and natural language. *The conference was held virtually due to the COVID-19 pandemic. This book constitutes the refereed proceedings of the 9th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2013, held in Paphos, Cyprus, in September/October 2013. The 26 revised full papers presented together with a keynote speech at the main event and 44 papers of 8 colocated workshops were carefully reviewed and selected for inclusion in the volume. The papers of the main event are organized in topical sections on data mining, medical informatics and biomedical engineering, problem solving and scheduling, modeling and decision support systems, robotics, and intelligent signal and image processing.