Program
Program
AIAI / EANN 2022 Program is now available and can be found below.
You can hover and click on the “More Info” button of each Session to see the presented papers, the abstract of each paper and the link that will connect you to each Room.
A full list of presented papers (Including abstracts) may be found here.
Note that all times at the program are in EEST (Eastern European Summer Time) Zone and it is important to convert them in your Time Zone.
Current time is:
Room Keynote - Hybrid | Room 1 - Hybrid | Room 2 - Hybrid | Room 3 - Remote or Hybrid | Room 4 - Remote | Room 5 - Remote | |
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9:30 am | Session 1 Keynote Speech Hojjat Adeli Chair: Prof. Lazaros Iliadis Keynote Speaker: Professor Hojjat Adeli Machine Learning: A Key Ubiquitous Technology in the 21st Century • Discussion and Q&A during session Join Room | |||||
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11:15 am | Session 2 - EAAAI / EANN Data Mining / Autoencoders (DATA_AU) Chair: Prof. Ilias Maglogiannis → Discriminant Analysis on a Stream of Features Jan Motl, Pavel Kordík → A Methodology to Manage Structured and Semi-Structured Data in Knowledge Oriented Graph Valerio Bellandi, Paolo Ceravolo, Giacomo Alberto D'Andrea, Samira Maghool, Stefano Siccardi → Reconstructing electricity profiles in submetering systems using a GRU-AE network Serafin Alonso, Antonio Morán, Daniel Pérez, Miguel A. Prada, Juan J. Fuertes, Manuel Dominguez → Trend and Seasonality Elimination from Relational Data Jan Motl, Pavel Kordík → Learning image captioning as a structured transduction task Davide Italo Serramazza, Davide Bacciu Join Room | Session 3 - AIAI Machine Learning -
Classification (ML_CLA) Chair: Prof. Leon Bobrowski → A Multi-label Time Series Classification Approach for Non-intrusive Water End-Use Monitoring Dimitris Papatheodoulou, Pavlos Pavlou, Stelios Vrachimis, Kleanthis Malialis, Demetris Eliades, Theocharis Theocharides → Hybrid (CPU / GPU) exact nearest neighbors search in high-dimensional spaces David Muhr, Michael Affenzeller → Bias in Face Image Classification Machine Learning Models: The Impact of Annotator's Gender and Race Andreas Kafkalias, Stylianos Herodotou, Zenonas Theodosiou, Andreas Lanitis → Prediction of Wafer Map Categories using Wafer Acceptance Test Parameters in Semiconductor Manufacturing Martin Lim Ying Song, Tommy Yip, Jonathan Ong, Anurag Sharma, cheng chin → A Primer for tinyML Predictive Maintenance: Input and Model Optimisation Emil Njor, Jan Madsen, Xenofon Fafoutis Join Room | Session 4 - AIAI DAAI Workshop Chair: Dr. Panagiotis Kikiras Keynote speeches Keynote Speaker: Dr. Judith Dijk / TNO AI in optronics for defense applications Keynote Speaker: Andreas Merentitis / OLX Group GmbH Trends in Machine Learning and Lessons from Applications in the Private Sector Join Room | Session 5 - EAAAI / EANN Convolutional Modeling -
Robotics (COMO_RO) Chairs: Prof. Aristidis Vrahatis & Mr. Vasileios Kochliaridis → Online Route Scheduling for a Team of Service Robots with MOEAs and mTSP model Raul Alves, Clenio E. Silva, Jefferson R. Souza → Synopsis of Video Files Using Neural Networks Georgi Kostadinov → Ground Penetrating Radar Fourier pre-processing for deep learning tunnel defects' automated classification Giulia Marasco, Marco Martino Rosso, Salvatore Aiello, Angelo Aloisio, Giansalvo Cirrincione, Bernardino Chiaia, Giuseppe Carlo Marano → Autoregressive Deep Learning Models for Bridge Strain Prediction Anastasios Panagiotis Psathas, Lazaros Iliadis, Dimitra V. Achillopoulou, Antonios Papaleonidas, Nikoleta K. Stamataki, Dimitris Bountas, Ioannis M. Dokas → TrojanDroid: Android malware detection for Trojan discovery using convolutional neural networks Saeed Seraj, Michalis Pavlidis, Nikolaos Polatidis Join Room | Session 6 - AIAI Sentiment Anaysis Natural
Language Social Media (SE_NAL_ME) Chairs: Prof. Panayiotis Bozanis & Mrs. Niki Kiriakidou → AutoMC: Learning Regular Expressions for Automated Management Change Event Extraction from News Articles Murat Kalender → How Dimensionality Reduction affects Sentiment Analysis NLP Tasks: An Experimental Study Leonidas Akritidis, Panayiotis Bozanis → Social Media Sentiment Analysis Related to COVID-19 Vaccines: Case studies in English and Greek language Evridiki Kapoteli → Sentiment Analysis on COVID-19 Twitter Data: A Sentiment Timeline Makrina Karagkiozidou, Paraskevas Koukaras, Christos Tjortjis → A Multi-Objective Optimization Algorithm for Out-of-Home Advertising Nader Nader, Rafael Alexandrou, Iasonas Iasonos, Andreas Pamboris, Harris Papadopoulos, Andreas Konstantinidis Join Room | |
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2:00 pm | Session 7 - AIAI Adaptive Modeling - Sentiment
Analysis - Cloud (AMO_SEA_C) Chair: Prof. Paulo Cortez → A Second-Order Adaptive Decision Model for Proceeding or Terminating a Pregnancy Lisa Elderhorst, Melissa Van den Berge, Jan Treur → Dynamic Big Data Drift Visualization of CPU And Memory Resource Usage in Cloud Computing Tajwar Mehmood, Seemab Latif → On the Evaluation of the Plausibility and Faithfulness of Sentiment Analysis Explanations Julia El Zini, Mohamad Mansour, Basel Mousi, Mariette Awad → Multilingual Sentiment Analysis on Twitter Data towards Enhanced Policy Making George Manias, Athanasios Kiourtis, Argyro Mavrogiorgou, Dimosthenis Kyriazis → When Domain Adaptation Meets Semi-Supervised Learning Through Optimal Transport Mourad El Hamri, Younès Bennani, Issam Falih Join Room | Session 8 - AIAI Explainable AI / Evolutionary /
Time Series Modeling (EX_EVO_TIS) Chair: Prof. Mirjana Ivanovic → 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 → Knowledge Engineering and Ontology for Crime Investigation Wilmuth Müller, Dirk Mühlenberg, Dirk Pallmer, Uwe Zeltmann, Christian Ellmauer, Konstantinos Demestichas → A Novel Human-Centred Evaluation Approach and an Argument-Based Method for Explainable Artificial Intelligence Giulia Vilone, Luca Longo → Equilibrium Resolution for Epoch Partitioning Wojciech Wisniewski, Yuri Kalnishkan, David Lindsay, Sian Lindsay → Quantum Approach for Vertex Separator Problem in Directed Graphs Ahmed ZAIOU, Younès BENNANI, Mohamed HIBTI, Basarab MATEI Join Room | Session 9 - AIAI 5G-PINE 2022 Chair: Dr. Ioannis Chochliouros → Fundamental Features of the Smart5Grid Platform Towards Realizing 5G Implementation Ioannis P. Chochliouros, Daniele Porcu Et al. → A Framework to Support the Deployment of PPDR Services across Edge and Cloud Domains Janez Sterle, Ioanna Mesogiti Et al. → The Use of Robotics in Critical Use Cases: The 5G-ERA Project Solution Christina C. Lessi, George Agapiou Et al. → A 5G-based Architecture for Localization Accuracy Maria Belesioti, Kostas Tsagkaris Et al. → Efficient Data Management and Interoperability Middleware in Business-Oriented Smart Port Use Cases Dr. Christos-Antonios Gizelis, Achilleas Marinakis Et al. Join Room | Session 10 - AIAI DAAI Workshop Chairs: Mr. Isidoros Monogioudis & Mr. Dragos Voicu Keynote Speaker: Monika Adamczyk - ENISA ENISA efforts on AI Cybersecurity Project presentations EFFECTOR BORDER UAS AI-ARC PROMENADE Join Room | Session 11 - AIAI Unsupervised Modeling (UNSUM) Chair: Prof. Evaggelos Spyrou → Client Segmentation of Mobile Payment Parking Data using Machine Learning Ilze Andersone, Agris Nikitenko, Valdis Bergs, Uldis Jansons → High Rank Self-Organising Maps for Image Fingerprinting Anthony Benjamin Kolenic, Duncan Anthony Coulter → Determining Column Numbers in Résumés with Clustering Şeref Recep Keskin, Yavuz Balı, Günce K. Orman, F. Serhan Daniş, Sultan N. Turhan → Query Driven Data Subspace Mapping Panagiotis Fountas, Maria Papathanasaki, Kostas Kolomvatsos, Christos Anagnostopoulos Join Room | |
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4:15 pm | Session 12 - EAAAI / EANN Deep Learning - Clustering /
Text Mining (DEE_CL_TM) Chair: Prof. Elias Pimenidis → Novel Decision Forest Building Techniques by Utilising Correlation Coefficient Methods Efthyvoulos Drousiotis, Lei Shi, Paul G Spirakis, Simon Maskell → Complex layers of formal neurons Leon Bobrowski → Enhancements on a Pipeline Approach for Abstract Meaning Representation Parsing Alexandru Frasie, Georgiana Marian, Nicoleta-Teodora Vezan, Florin Macicasan, Camelia Lemnaru → An exploration of semi-supervised text classification Henrik Lien, Daniel Biermann, Fabrizio Palumbo, Morten Goodwin Join Room | Session 13 - AIAI AI - BEI 2022 Chair: Prof. Ilias Maglogiannis → On the reusability of ISIC Data for training DL classifiers applied on clinical skin images Konstantinos Moutselos, Ilias Maglogiannis → Deep learning-based segmentation of the atherosclerotic carotid plaque in ultrasonic images Georgia Liapi, Efthyvoulos Kyriacou, Christos Loizou, Andreas Panayides, Constantinos Pattichis, Andrew Nicolaides → An intelligent grammar-based platform for RNA H-type pseudoknot prediction Vrettos Moulos, Evangelos Makris, Angelos Kolaitis, Christos Andrikos, Panayiotis Tsanakas, Christos Pavlatos → An Automated 2D U-Net Segmentation Method for the Identification of Cancer Brain Metastases Using MRI Images Vangelis Tzardis, Efthyvoulos Kyriacou, Christos P Loizou, Anastasia Constantinidou Join Room | Session 14 - AIAI 5G-PINE 2022 Chair: Dr. Ioannis Chochliouros → AI-driven Intent-based Networking for 5G Enhanced Robot Autonomy Marios Sophocleous, Christina C. Lessi Et al. → Application of Mobile Networks (5G and Beyond) in Precision Agriculture Lechosław Tomaszewski, Robert Kołakowski and Mirosław Zagórda → 5G for the Support of Smart Power Grids: Millisecond Level Precise Distributed Generation Monitoring and Real-Time Wide Area Monitoring Ioannis P. Chochliouros, Daniele Porcu, Michalis Rantopoulos Et al. → Experimentation Scenarios for Machine Learning-Based Resource Management Alexandros Kostopoulos, Ioannis P. Chochliouros Et al. Join Room | Session 15 - AIAI AIBMG 2022 Chairs: Dr. Iakovos Michailidis & Dr. Iakovos Michailidis & Dr. Dimosthenis Ioannidis → Probabilistic Quantile Multi-step Forecasting of Energy Market Prices: A UK Case Study Petros Tzallas, Napoleon Bezas, Ioannis Moschos, Dimosthenis Ioannidis, Dimitrios Tzovaras → Environmental feature correlation and meta-analysis for Occupancy detection - A real-life assessment Asimina Dimara, Alkiviadis Kyrtsoglou, Iakovos Michailidis, Stelios Krinidis, Elias Kosmatopoulos, Dimosthenis Ioannidis, Christos-Nikolaos Anagnostopoulos, Dimitrios Tzovaras → Non-Intrusive Diagnostics for Legacy Heat-Pump Performance Degradation Iakovos Michailidis, Georgios Vougiatzis, Aliki Stefanopoulou, Asimina Dimara, Christos Korkas, Stelios Krinidis, Elias Kosmatopoulos, Dimosthenis Ioannidis, Christos-Nikolaos Anagnostopoulos, Dimitrios Tzovaras → Chargym: An EV Charging Station Model for Controller Benchmarking Georgios Karatzinis, Christos Korkas, Iakovos Michailidis, Elias Kosmatopoulos, Aliki Stefanopoulou, Christo Tsaknakis, Michalis Terzopoulos Join Room | Session 16 - AIAI Time Series Modeling /
Learning / FUZZY (TIS_LE_FZ) Chairs: Prof. Hassan Kazemian & Prof. Angelos Angelopoulos → A Self-Adaptive Learning Music Composition Algorithm as Virtual Tutor Michele Della Ventura → Transfer Learning for Predicting Gene Regulatory Effects of Chemicals Bahattin Can Maral, Mehmet Tan → Comparing Boosting & Deep Learning methods on Multivariate Time Series for Retail Demand Forecasting Georgios Theodoridis, Athanasios Tsadiras → Topological Data Analysis of Time-Series as an Input Embedding for Deep Learning Models Morgan Byers, Lee Hinkle, Vangelis Metsis → Creating a bridge between Probabilities and fuzzy sets and its impact on Drought Severity Assessment Nikos Mylonas, Mike Spiliotis, Basil Papadopoulos Join Room | |
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7:30 pm | Welcome Reception (Physical) Exact hours TBA | |||||
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Room Keynote - Hybrid
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Session 1 Keynote Speech
Hojjat Adeli -
Welcome Reception (Physical) Exact hours TBA
Room 1 - Hybrid
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Session 2 - EAAAI / EANN Data Mining / Autoencoders
(DATA_AU) -
Session 7 - AIAI Adaptive Modeling - Sentiment Analysis - Cloud
(AMO_SEA_C) -
Session 12 - EAAAI / EANN Deep Learning - Clustering / Text Mining
(DEE_CL_TM)
Room 2 - Hybrid
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Session 3 - AIAI Machine Learning - Classification
(ML_CLA) -
Session 8 - AIAI Explainable AI / Evolutionary / Time Series Modeling
(EX_EVO_TIS) -
Session 13 - AIAI AI - BEI 2022
Room 3 - Remote or Hybrid
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Session 4 - AIAI DAAI Workshop
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Session 9 - AIAI 5G-PINE 2022
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Session 14 - AIAI 5G-PINE 2022
Room 4 - Remote
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Session 5 - EAAAI / EANN Convolutional Modeling - Robotics
(COMO_RO) -
Session 10 - AIAI DAAI Workshop
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Session 15 - AIAI AIBMG 2022
Room 5 - Remote
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Session 6 - AIAI Sentiment Anaysis Natural Language Social Media
(SE_NAL_ME) -
Session 11 - AIAI Unsupervised Modeling
(UNSUM) -
Session 16 - AIAI Time Series Modeling / Learning / FUZZY
(TIS_LE_FZ)
Room Keynote - Hybrid | Room 1 - Hybrid | Room 2 - Hybrid | Room 3 - Remote or Hybrid | Room 4 - Remote | Room 5 - Remote | |
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9:30 am | Session 20 - AIAI MACHINE LEARNING /
CLASSIFICATION (ML_CLA) Chairs: Prof. Serafin Alonso & Dr. Athanasios Tsadiras → Machine learning approach to detect malicious mobile apps Prof Hassan Kazemian → Allocating Orders to Printing Machines for Defect Minimization: A Comparative Machine Learning Approach Angelos Angelopoulos, Anastasios Giannopoulos, Sotirios Spantideas, Nikolaos Kapsalis, Chris Trochoutsos, Stamatis Voliotis, Panagiotis Trakadas → Decision Tree Induction through Meta-Learning Caique Augusto Ferreira, Adriano Henrique Cantão, José Augusto Baranauskas → Production Time Prediction for Contract Manufacturing Industries Using Automated Machine Learning Luís Ferreira, Afonso Sousa, Rui Ribeiro, João Xavier, André Pilastri, Paulo Cortez Join Room | |||||
9:45 am | Session 17 - AIAI Deep Learning / Evolutionary
Computing (DEE_EVOC) Chair: Prof. Harris Papadopoulos → Machine Learning Applications in Real Estate: Critical Review of Recent Development Jamal Al-Qawasmi → Fine-Grained Double-View Link Prediction within the Dynamic Interaction Network Jianye Pang, Wei Ke → Enhanced dependency-based feature selection to improve anomaly network intrusion detection Zakaria SAHRAOUI, Khadidja BENNACEUR, Mohamed Ahmed-Nacer → 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, charly clairmont Join Room | |||||
10:00 am | Session 18 - EAAAI / EANN Robotics (ROBO) Chair: Mr. Andrew Melnik → Improving binary semantic scene segmentation for robotics applications Maria Tzelepi, Nikolaos Tragkas, Anastasios Tefas → Towards using Reinforcement Learning for Autonomous Docking of Unmanned Surface Vehicles Martin Holen, Else-Line Malene Ruud, Narada Dilp Warakagoda, Morten Goodwin, Paal Engelstad, Kristian Muri Knausgård → A robust, quantization-aware training method for photonic neural networks Athina Oikonomou, Manos Kirtas, Nikolaos Passalis, George Mourgias-Alexandris, Miltos Moralis-Pegios, Nikos Pleros, Anastasios Tefas Join Room | Session 19 - AIAI ML@HC 2022 Chair: Dr. Konstantinos Votis Plenary Talk A Smart Digital Guardian Angel Enhancing Cancer Patient Wellbeing and Health Status Improvement Following Treatment S. Athanassopoulos, Gabrielle Oestreicher and S. Likothanassis Join Room | ||||
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11:00 am | Session 21 Keynote Speech Elisabeth André Chair: Prof. Ilias Maglogiannis Keynote Speaker: Professor Elisabeth André Keynote Speech: Professor Elisabeth André Socially-Interactive Artificial Intelligence: Perception, Synthesis and Learning of Human-Like Behaviors • Discussion and Q&A during session Join Room | |||||
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12:30 pm | Session 22 Keynote Speech Verena Rieser Chair: Prof. Chrisina Jayne Keynote Speaker: Professor Verena Rieser Keynote Speech: Professor Verena Rieser Responsible Conversational AI: Trusted, Safe and Bias-free • Discussion and Q&A during session Join Room | |||||
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2:30 pm | Session 23 - EAAAI / EANN Bio inspired Architectures
/Blockchain/ Deep Learning BiO_BLO_DL Chair: Prof. Petr Hajek → A Blockchained Secure and Integrity-Preserved Architecture for Military Logistics Operations Konstantinos Demertzis, Panagiotis Kikiras, Lazaros Iliadis → An IoT Authentication Framework for Urban Infrastructure Security using Blockchain and Deep Learning Anastasios Panagiotis Psathas, Lazaros Iliadis, Antonios Papaleonidas, Dimitris Bountas → The Effectiveness of Synchronous Data-parallel Differentiable Architecture Search George Kyriakides, Konstantinos Margaritis → Human Activity Recognition under Partial Occlusion Ioannis-Aris Kostis, Eirini Mathe, Evaggelos Spyrou, Phivos Mylonas → Evaluating Acceleration Techniques for Genetic Neural Architecture Search Foteini Dervisi, George Kyriakides, Konstantinos Margaritis Join Room | Session 24 - AIAI CYBERSECURITY - ANOMALY
DETECTION / FUZZY (CYB_ANDE_FZ) Chair: Prof. Lazaros Iliadis → Transfer Learning with Jukebox for Music Source Separation Wadhah Zai El Amri, Oliver Tautz, Helge Ritter, Andrew Melnik → A Novel GBT-based Approach for Cross-Channel Fraud Detection on Real-World Banking Transactions Ugur Dolu, Emre Sefer → Random Forest based on Federated Learning for Intrusion Detection Tijana Markovic, Miguel León, David Buffoni, Sasikumar Punnekkat → SAF: A Peer to Peer IoT LoRa System for Smart Supply Chain in Agriculture Aristeidis Karras, Christos Karras, Georgios Drakopoulos, Dimitrios Tsolis, Phivos Mylonas, Spyros Sioutas → Anomaly detection using Edge Computing AI on Low Powered Devices Dragoș-Vasile Bratu, Rareş Ştefan Tiberius Ilinoiu, Alexandru Cristea, Maria-Alexandra Zolya, Sorin-Aurel Moraru Join Room | Session 25- AIAI ML@HC 2022 Chair: Dr. Konstantinos Votis → CAIPI in Practice: Towards Explainable Interactive Medical Image Classification Emanuel Slany, Yannik Ott, Stephan Scheele, Jan Paulus, Ute Schmid → Digitally assisted planning and monitoring of supportive recommendations in cancer patients Alexander Scherrer, Tobias Zimmermann, Sinan Riedel, Fihmi Mousa, Isa Wasswa-Musisi, Robert Zifrid, Hartmut Tillil, Philipp Ulrich, Thanos Kosmidis, Joaquim C. Reis, Gabrielle Oestreicher, Markus Möhler, Stefanos Venios, Maria Plakia, Sotiris Diamantopoulos, Ilias Kalamaras, Kostas Votis → ParSMURF-NG: a Machine Learning High Performance Computing system for the analysis of imbalanced big omics data Alessandro Petrini, Marco Notaro, Jessica Gliozzo, Tiziana Castrignanò, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini → Monitoring Neurological Disorder Patients via Deep Learning based Facial Expressions Analysis Mohib Ullah, Muhammad Munsif, Muhammad Sajjad, Bilal Ahmad, Faouzi Alaya Cheikh → Predicting Risk of Dementia with Survival Machine Learning and Statistical Methods: Results on the English Longitudinal Study of Ageing Cohort Daniel Stamate, Henry Musto, Olesya Ajnakina, Daniel Stahl Join Room | Session 26- AIAI DAAI Workshop Chair: Mr. Isidoros Monogioudis AI Action Plan way ahead - EDA Keynote Speeches Keynote Speaker : Adrian Rodrıguez Grillo Artificial Intelligence for Automatic Detection, Recognition and Identification (A-DRI) with Electro-Optical (EO) and Synthetic Aperture Radar (SAR) Data Keynote Speaker : Nicolas Deruytter - ML6 Design patterns for explainability in AI applications Keynote Speaker : Angelos Tsereklas – SOTIRIA AI AI applications on maritime terrain security Join Room | Session 27 - AIAI CONVOLUTIONAL /
RECURRENT /
REINFORCEMENT (CNN_RC_REI) Chairs: Prof. Ioannis Karydis → The Bonsai Hypothesis: an Efficient Network Pruning Technique Yasuaki Ito, Koji Nakano, Akihiko Kasagi → TraderNet-CR: Cryptocurrency Trading with Deep Reinforcement Learning Vasileios Kochliaridis, Eleftherios Kouloumpris, Ioannis Vlahavas → An Efficient Method for Addressing COVID-19 Proximity Related Issues in Autonomous Shuttles Public Transportation Dimitrios Tsiktsiris, Antonios Lalas, Minas Dasygenis, Konstantinos Votis, Dimitrios Tzovaras → Automatic semi-quantitative histological assessment of tissue traits using a smart web application Olympia Giannou, Dimitra Zazara, Anastasios Giannou, Petra Clara Arck, Georgios Pavlidis → Transformer-based Zero-Shot Detection via Contrastive Learning Wei Liu, Hui Chen, Yongqiang Ma, Jianji Wang, Nanning Zheng Join Room | |
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4:45 pm | Session 28 - AIAI MACHINE LEARING MODELING (MLM) Chair: Dr. Miguel León → Experimental comparison of metaheuristics for feature selection in machine learning in the medical context Thibault Anani, Jean-François Pradat-Peyre, François Delbot → An Industry 4.0 Intelligent Decision Support System for Analytical Laboratories João Silva, Paulo Cortez → Combining Cox model and tree-based algorithms to boost performance and preserve interpretability for health outcomes Diana Shamsutdinova, Daniel Stamate, Angus Roberts, Daniel Stahl → Distribution guided neural disaggregation of PM10 and O3 hourly concentrations from daily statistics and low-cost sensors. Evangelos Bagkis, Theodosios Kassandros, Kostas Karatzas Join Room | Session 29 - AIAI AIBMG 2022 Chairs: Dr. Iakovos Michailidis & Dr. Stelios Krinidis → Anomaly detection in small-scale industrial and household appliances Niccolò Zangrando, Sergio Luis Herrera Gonzalez, Paraskevas Koukaras, Asimina Dimara, Piero Fraternali, Stelios Krinidis, Dimosthenis Ioannidis, Christos Tjortjis, Christos-Nikolaos Anagnostopoulos, Dimitrios Tzovaras → Proactive buildings: A prescriptive maintenance approach Paraskevas Koukaras, Asimina Dimara, Sergio Herrera, Niccolò Zangrando, Stelios Krinidis, Dimosthenis Ioannidis, Piero Fraternali, Christos Tjortjis, Christos-Nikolaos Anagnostopoulos, Dimitrios Tzovaras → Performance Meta-analysis for Big-Data Univariate Auto-Imputation in the Building Sector Aliki Stefanopoulou, Iakovos Michailidis, Asimina Dimara, Stelios Krinidis, Elias Kosmatopoulos, Christos-Nikolaos Anagnostopoulos, Dimitrios Tzovaras → An innovative software platform for efficient energy, environmental and cost planning in buildings retrofitting Ioannis Mamounakis, Petros Iliadis, Andreas Seitaridis, Nikolaos Tagkoulis, Evangelos Bellos, Christos Papalexis, Vasileios Sougakis, Nikolaos Nikolopoulos Join Room | Session 30 - AIAI 5G-PINE 2022 Chair: Dr. Ioannis Chochliouros → Comparative study of a deterministic adaptive beamforming technique with Neural Network implementations Ioannis Mallioras, Zaharias Zaharis Et al. → A Deep Q Network-based Multi-Connectivity Algorithm for Heterogeneous 4G/5G Cellular Systems Juan Jesús Hernández Carlón, Jordi Perez-Romero, Irene Vilà Muñoz Et al. → Advancements in Edge Computing and Service Orchestration in Support of Advanced Surveillance Services Ioanna Mesogiti, Eleni Theodoropoulou Et al. → Building a knowledge-intensive, intent-lean, question answering chatbot in the Telecom industry - Challenges and Solutions Filippos Nikolopoulos-Gkamatsis , Antonis Misargopoulos Et al. Join Room | Session 31 - AIAI Evolutionary Computing (EVOC) Chairs: Prof. Spiros Likothanassis, Prof. Efstratios F. Georgopoulos & Mr. Emanuel Slany → Hierarchical Causality Network: Find the Effective Connectivity in Visual Cortex Ming Du, Haodong Jing, Yongqiang Ma, nanning Zheng → Exploring the Relationship Between Visual Information and Language Semantic Concept in the Human Brain Haodong Jing, Ming Du, Yongqiang ma, Nanning Zheng → Biologically Plausible Complex-Valued Neural Networks and Model Optimization Ryan Yu, Andrew Wood, Sarel Cohen, Moshick Hershcovitch, Daniel Waddington, Peter Chin → Comparative Study by Using a Greedy Approach and Advanced Bio-Inspired Strategies in the Context of the Traveling Thief Problem Julia Garbaruk, Doina Logofatu, Florin Leon Join Room | Session 32 - AIAI Explainable AI / Energy
Streams Modeling (XAI_ENS) Chairs: Prof. Sotiris Kotsiantis → Energy Load Forecasting: Investigating Mid-Term Predictions with Ensemble Learners Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis → Application of Graph-Based Technique to Identity Resolution Prof H Kazemian, Mohammad-Hossein Amirhosseini, Michael Phillips → Machine Learning Techniques for Regression in Energy Disaggregation Christos Konstantopoulos, Spyros Sioutas, KONSTANTINOS TSICHLAS → Unsupervised Multi-Sensor Anomaly Localization with Explainable AI Mina Ameli, Viktor Pfanschilling, Anar Amirli, Wolfgang Maaß, Kristian Kersting → An Analysis on Graph-Processing Frameworks: Neo4j and Spark GraphX An Analysis on Graph-Processing Frameworks: Neo4j and Spark GraphX Join Room | |
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Room Keynote - Hybrid
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Session 21 Keynote Speech
Elisabeth André -
Session 22 Keynote Speech
Verena Rieser -
Gala Party (Physical)
Room 1 - Hybrid
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Session 17 - AIAI Deep Learning / Evolutionary Computing
(DEE_EVOC) -
Session 23 - EAAAI / EANN Bio inspired Architectures /Blockchain/ Deep Learning
BiO_BLO_DL -
Session 28 - AIAI MACHINE LEARING MODELING
(MLM)
Room 2 - Hybrid
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Session 18 - EAAAI / EANN Robotics (ROBO)
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Session 24 - AIAI CYBERSECURITY - ANOMALY DETECTION / FUZZY
(CYB_ANDE_FZ) -
Session 29 - AIAI AIBMG 2022
Room 3 - Remote or Hybrid
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Session 19 - AIAI ML@HC 2022
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Session 25- AIAI ML@HC 2022
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Session 30 - AIAI 5G-PINE 2022
Room 4 - Remote
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Session 20 - AIAI MACHINE LEARNING / CLASSIFICATION
(ML_CLA) -
Session 26- AIAI DAAI Workshop
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Session 31 - AIAI Evolutionary Computing
(EVOC)
Room 5 - Remote
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Session 27 - AIAI CONVOLUTIONAL / RECURRENT / REINFORCEMENT
(CNN_RC_REI) -
Session 32 - AIAI Explainable AI / Energy Streams Modeling
(XAI_ENS)
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10:30 am | Session 33 Keynote Speech Riitta Salmelin Chair: Prof. Anastasios Tefas Keynote Speaker: Professor Riitta Salmelin Keynote Speech: Professor Riitta Salmelin What neuroimaging can tell about human brain function • Discussion and Q&A during session Join Room | |||||
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12:00 pm | Session 34 - EAAAI / EANN Machine Learning BioMedical (ML_BiOM) Chair: Dr. Alexander Scherrer → Brain Tumour Segmentation on 3D MRI using Attention V-Net Charul Giri, Jivitesh Sharma, Morten Goodwin → Automatic Accent and Gender Recognition of Regional UK Speakers Chrisina Jayne, Victor Chang, Jozeene Bailey, Qianwen Ariel Xu → Semantic Segmentation of Diabetic Retinopathy Lesions, using a UNET with Pretrained Encoder Dimitrios Theodoropoulos, Georgios Manikis, Kostantinos Marias, Giorgos Papadourakis → A gene ontology-driven wide and deep learning architecture for cell-type classification from single-cell RNA-seq data Gianmarco Coppola, Antonino Fiannaca, Massimo La Rosa, Laura La Paglia, Alfonso Urso, Salvatore Gaglio → Using a deep neural network in a relative risk model to estimate vaccination protection for COVID-19 Roman Neruda, Gabriela Suchopárová, Petra Vidnerová, Martin Šmíd → Development of an Algorithmic Model to Reduce Memory and Learning Deficits on Trisomic Mice Eleni Gerasimidi, Lazaros Iliadis Join Room | Session 35 - AIAI Learning/Recurrent/Reinforce
ment (DL_RC_REI) Chair: Prof. Mariette Awad → Reinforcement Learning Approach for Multi-period Inventory with Stochastic Demand Manoj Shakya, Huey Yuen Ng, Darrell Joshua Ong, Bu-Sung Lee → Deep Recurrent Neural Networks for OYO Hotels Recommendation Anshul Rankawat, Rahul Kumar, Arun Kumar → The Neocortex-Inspired Locally Recurrent Neural Network (NILRNN) as a Model of the Primary Visual Cortex Franz A. Van-Horenbeke Echevarria, Angelika Peer → MTMA-DDPG: a Deep Deterministic Policy Gradient Reinforcement Learning for Multi-Task Multi-Agent Environments karim Hamadeh, Julia El Zini, Joudi Hajar, Mariette Awad Join Room | Session 36 - EAAAI / EANN Bio Inspired / Classification (BiO_CLA) Chair: Prof. Ilias Maglogiannis → Custom State LSTM Cell for Text Classification Tasks Giannis Haralabopoulos, Ioannis Anagnostopoulos → Generation of Orthogonality for Feature Spaces in the Bio-inspired Neural Networks Naohiro Ishii, Toshinori Deguchi, Masashi Kawaguchi, Hiroshi Sasaki, Tokuro Matsuo → Text Analysis for COVID-19 Tweets Panagiotis Theocharopoulos, Anastasia Tsoukala, Spiros Georgakopoulos, Sotiris Tasoulis, Vassilis Plagianakos → SNNs Model Analyzing and Visualizing Experimentation using RAVSim Sanaullah, Shamini Koravuna, Ulrich Rückert, Thorsten Jungeblut → Supporting Patient Nutrition in Critical Care Units Kamran Soomro, Elias Pimenidis, Chris McWilliams Join Room | Session 37 - AIAI Machine Learning/Feature
Selection (ML_FES) Chairs: Dr. George Kyriakides & Dr. Bassem Hichri → Exploring the pertinence of distance functions for nominal multi-label data Payel Sadhukhan → Predictive Maintenance Based on Machine Learning Model Bassem Hichri, Anass Driate, Andrea Borghesi, Francesco Giovannini → Implicit Maximum Likelihood Clustering Georgios Vardakas, Aristidis Likas → An improved neural network model for treatment effect estimation Niki Kiriakidou, Christos Diou → Feature Selection Methods for Uplift Modeling and Heterogeneous Treatment Effect Zhenyu Zhao, Yumin Zhang, Totte Harinen, Mike Yung Join Room | Session 38 - AIAI MHWD 2022 Chairs: Prof. Spyros Sioutas & Mr. Georgios Drakopoulos → Employing Natural Language Processing Techniques for Online Job Vacancies Classification George Varelas, Giannis Tzimas, Panagiotis Zervas, Dimitris Lagios, Spyros Ntouroukis, Kenia Parsons → Simulating Blockchain Consensus Protocols In Julia: Proof of Work vs Proof of Stake Georgios Drakopoulos, Eleanna Kafeza, Ioanna Giannoukou, Phivos Mylonas, Spyros Sioutas → An Overview of MCMC Methods: From Theory to Applications Christos Karras, Aristeidis Karras, Markos Avlonitis, Spyros Sioutas → State-of-the-art in Community Detection in Temporal Networks Kostas Christopoulos, Kostas Tsichlas → Maximum Likelihood Estimators on MCMC Sampling Algorithms for Decision Making Christos Karras, Aristeidis Karras, Markos Avlonitis, Ioanna Giannoukou, Spyros Sioutas Join Room | |
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3:00 pm | Social Activity Time and Place TBA | |||||
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Room Keynote - Hybrid
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Session 33 Keynote Speech
Riitta Salmelin -
Social Activity Time and Place TBA
Room 1 - Hybrid
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Session 34 - EAAAI / EANN Machine Learning BioMedical
(ML_BiOM)
Room 2 - Hybrid
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Session 35 - AIAI Learning/Recurrent/Reinforce ment
(DL_RC_REI)
Room 3 - Remote or Hybrid
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Session 36 - EAAAI / EANN Bio Inspired / Classification
(BiO_CLA)
Room 4 - Remote
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Session 37 - AIAI Machine Learning/Feature Selection
(ML_FES)
Room 5 - Remote
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Session 38 - AIAI MHWD 2022
Room Keynote - Hybrid | Room 1 - Hybrid | Room 2 - Hybrid | Room 3 - Remote or Hybrid | Room 4 - Remote | Room 5 - Remote | |
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10:00 am | Session 39 AI & Ethics Keynote Speech: John Macintyre Chair: Prof. Lazaros Iliadis Keynote Speaker: Prof. John Macintyre Is Big Tech becoming the Big Tobacco of AI? Panel talk & Discussion panel with: Larry Medsker, Research Professor, George Washington University Christian Guttmann, Prof. Dr. and Exec Director, Nordic Artificial Intelligence Institute and Karolinska Institute Olivia Gambelin, CEO & Founder, Ethical Intelligence Christoph Ebell, Founder/CEO, Arcades Digital, an NFT and Metaverse Studio Cortnie Abercrombie, CEO AI Truth • Discussion and Q&A during session Join Room | |||||
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11:45 am | Special Session LeADS Legality Attentive Data Science Workshop Best Practices for the development of intelligent and trustworthy algorithms and systems Panel 1: Data Ownership, Privacy, and Empowerment Moderator: Imge Ozcan, LSTS, Vrije Universiteit Brussel Panelists: Katerina Demetzou, Future of Privacy Forum Paul De Hert, LSTS, Vrije Universiteit Brussel (remote participation) Afonso Ferreira, CNRS, Institut de Recherche en Informatique de Toulouse Panel 2: Trustworthy Data Processing Design Moderator: Giovanni Comandé, Scuola Superiore Sant'Anna Panelists: Jessica Eynard, Toulouse Capitole University Elias Pimenidis, University of the West of England Gabriele Lenzini, University of Luxemburg Salvatore Rinzivillo, Italy National Research Council • Poster Session: Gallery Walk on “Best Practices for the development of intelligent and trustworthy algorithms and systems” (1:00 - 2:15 PM) Live Streaming | |||||
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12:15 pm | Session 40 - AIAI CONVOLUTIONAL NN
/ENERGY STREAMS
MODELING (CNN_ENR) Chair: Mr. George Manias → Speech Emotion Recognition from Earnings Conference Calls in Predicting Corporate Financial Distress Petr Hajek → Efficient Large-Scale Machine Learning Techniques for Rapid Motif Discovery in Energy Data Streams Klelia Lykothanasi, Spyros Sioutas, KONSTANTINOS TSICHLAS → MERLIN: Identifying inaccuracies in Multiple Sequence Alignments using Object Detection Hiba Khodji, Lucille Herbay, Pierre Collet, Julie Thompson, Anne Jeannin-Girardon → An efficient deep learning framework for face mask detection in complex scenes Mohib Ullah, Habib Ullah, Sultan Daud Khan, Rafi Ullah, Mussadiq Abdul Rahim, Muhammad Rashid, Zulfiqar Ali → PigPose: A Realtime Framework for Farm Animal Pose Estimation and Tracking Mohib Ullah, Milan Kresovic, Thong Nguyen, Hina Afridi, Faouzi Alaya Cheikh Join Room | Session 41 - AIAI Fuzzy Modeling/Sentiment
Analysis/Learning (FZ_SENA_LE) Chair: Dr. Nicholas Walker → An Inductive System Monitoring Approach for GNSS Activation Shahrooz Abghari, Veselka Boeva, Emiliano Casalicchio, Peter Exner → Invention Concept Latent Spaces for Analogical Ideation Nicholas Walker → A Communication Data Layer for Distributed Neuromorphic Systems Andras Veres, Peter Haga, Andras Racz, Tamas Borsos, Zsolt Kenesi → Brainstorming Fuzzy Cognitive Maps for Camera-based Assistive Navigation Georgia Sovatzidi, Dimitris Iakovidis Join Room | Session 42 - EAAAI / EANN Convolutional /
Classification/Clustering (CON_CLA_CLU) Chair: Mr. Alan Mosca → Route Scheduling System for multiple self-driving cars using K-means and bio-inspired algorithms Clenio E. Silva, Tiago S. César, Junior A. R. Silva, Iago P. Gomes, Denis F. Wolf, Raulcézar Alves, Jefferson R. Souza → On the Suitability of Neural Networks as Building Blocks for The Design of Efficient Learned Indexes Domenico Amato, Giosue' Lo Bosco, Raffaele Giancarlo → An Accurate Convolutional Neural Networks Approach to Wound Detection for Farmed Salmon Aditya Gupta, Even Bringsdal, Nicole Salbuvik, Kristian Muri Knausgard, Morten Goodwin → ITSC Fault Diagnosis in Permanent Magnet Synchronous Motor Drives using shallow CNNs Vera Szabo, Morten Goodwin, Martin Marie Hubert Choux, Saeed Hasan Ebrahimi → On Forecasting Project Activity Durations with Neural Networks Vahan Hovhannisyan, Peter Zachares, Carlos Ledezma, Joao Gante, Alan Mosca Join Room | Session 43 - EAAAI / EANN Reinforement / Adversarial /
Echo state (REI_ADV_ECH) Chairs: Prof. Kostas Kolomvatsos & Prof. Doina Logofatu → Multi-Track Transfer Reinforcement Learning for Power Consumption Management of Building Multi-Type Air-Conditioners Yoshifumi Aoki, Satoshi Goto, Yusuke Takahashi, Chuzo Ninagawa, Junji Morikawa → Predicting Seriousness of Injury in a Traffic Accident: A New Imbalanced Dataset and Benchmark Paschalis Lagias, George Magoulas, Ylli Prifti, Alessandro Provetti → Efficient Approaches for Data Augmentation by Using Generative Adversarial Networks Pretom Kumar Saha, Doina Logofatu → Echo State Networks in Data Marketplaces for Digital Content Creation Will Serrano Join Room | Session 44 - AIAI Cyber Security - Anomaly
Detection / Adaptive (CYB_ANDE_ADP) Chairs: Dr. Luis Miguel Matos & Mr. Andre Pilastri → HEDL-IDS A Hybrid Ensemble Deep Learning Approach for Cyber Intrusion Detection Anastasios Panagiotis Psathas, Lazaros Iliadis, Antonios Papaleonidas, Dimitris Bountas → 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 Wilderjans, Suzanne Dikker, Sander Koole → Towards Semantic Modeling and Simulation of Cybersecurity on the Internet of Underwater Things Stavros Stavrinos, Konstantinos Kotis, Christos Kalloniatis → An Empirical Study on Anomaly Detection Algorithms for Extremely Imbalanced Datasets Gonçalo Fontes, Luis Miguel Matos, Arthur Matta, Andre Pilastri, Paulo Cortez Join Room | |
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2:15 pm | Closing Session |
Room Keynote - Hybrid
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Session 39
AI & Ethics Keynote Speech:
John Macintyre -
Special Session
LeADS Legality Attentive Data Science Workshop
Best Practices for the development of intelligent and trustworthy algorithms and systems -
Closing Session
Room 1 - Hybrid
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Session 40 - AIAI CONVOLUTIONAL NN /ENERGY STREAMS MODELING
(CNN_ENR)
Room 2 - Hybrid
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Session 41 - AIAI Fuzzy Modeling/Sentiment Analysis/Learning
(FZ_SENA_LE)
Room 3 - Remote or Hybrid
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Session 42 - EAAAI / EANN Convolutional / Classification/Clustering
(CON_CLA_CLU)
Room 4 - Remote
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Session 43 - EAAAI / EANN Reinforement / Adversarial / Echo state
(REI_ADV_ECH)
Room 5 - Remote
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Session 44 - AIAI Cyber Security - Anomaly Detection / Adaptive
(CYB_ANDE_ADP)
No events available!