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
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

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9:45 am
10:00 am
10:15 am
10:30 am
10:45 am
11:00 am
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

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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

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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

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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

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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

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11:30 am
11:45 am
12:00 pm
12:15 pm
12:30 pm
12:45 pm
1:00 pm
1:15 pm
1:30 pm
1:45 pm
2:00 pm
Session 7 - AIAI
Adaptive Modeling - Sentiment Analysis - Cloud
(AMO_SEA_C)
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

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Session 9 - AIAI
5G-PINE 2022
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


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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

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2:15 pm
2:30 pm
2:45 pm
3:00 pm
3:15 pm
3:30 pm
3:45 pm
4:00 pm
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

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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

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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.

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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

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Session 16 - AIAI
Time Series Modeling / Learning / FUZZY
(TIS_LE_FZ)
4:30 pm
4:45 pm
5:00 pm
5:15 pm
5:30 pm
5:45 pm
6:00 pm
6:15 pm
6:30 pm
6:45 pm
7:00 pm
7:15 pm
7:30 pm
Welcome Reception (Physical)
Exact hours TBA
7:45 pm
8:00 pm
8:15 pm
8:30 pm
8:45 pm

Room Keynote - Hybrid

  • Session 1 Keynote Speech
    Hojjat Adeli
    9:30 am - 10:40 am
  • Welcome Reception (Physical) Exact hours TBA
    7:30 pm - 9:00 pm

Room 1 - Hybrid

  • Session 2 - EAAAI / EANN Data Mining / Autoencoders
    (DATA_AU)
    11:15 am - 1:00 pm
  • Session 7 - AIAI Adaptive Modeling - Sentiment Analysis - Cloud
    (AMO_SEA_C)
    2:00 pm - 3:45 pm
  • Session 12 - EAAAI / EANN Deep Learning - Clustering / Text Mining
    (DEE_CL_TM)
    4:15 pm - 6:00 pm

Room 2 - Hybrid

  • Session 3 - AIAI Machine Learning - Classification
    (ML_CLA)
    11:15 am - 1:00 pm
  • Session 8 - AIAI Explainable AI / Evolutionary / Time Series Modeling
    (EX_EVO_TIS)
    2:00 pm - 3:45 pm
  • Session 13 - AIAI AI - BEI 2022
    4:15 pm - 5:45 pm

Room 3 - Remote or Hybrid

  • Session 4 - AIAI DAAI Workshop
    11:15 am - 1:00 pm
  • Session 9 - AIAI 5G-PINE 2022
    2:00 pm - 3:45 pm
  • Session 14 - AIAI 5G-PINE 2022
    4:15 pm - 5:45 pm

Room 4 - Remote

  • Session 5 - EAAAI / EANN Convolutional Modeling - Robotics
    (COMO_RO)
    11:15 am - 1:00 pm
  • Session 10 - AIAI DAAI Workshop
    2:00 pm - 3:45 pm
  • Session 15 - AIAI AIBMG 2022
    4:15 pm - 5:45 pm

Room 5 - Remote

  • Session 6 - AIAI Sentiment Anaysis Natural Language Social Media
    (SE_NAL_ME)
    11:15 am - 1:00 pm
  • Session 11 - AIAI Unsupervised Modeling
    (UNSUM)
    2:00 pm - 3:45 pm
  • Session 16 - AIAI Time Series Modeling / Learning / FUZZY
    (TIS_LE_FZ)
    4:15 pm - 6:00 pm
Room Keynote - Hybrid Room 1 - Hybrid Room 2 - Hybrid Room 3 - Remote or Hybrid Room 4 - Remote Room 5 - Remote
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

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9:45 am
Session 17 - AIAI
Deep Learning / Evolutionary Computing
(DEE_EVOC)
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

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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

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10:15 am
10:30 am
10:45 am
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

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11:15 am
11:30 am
11:45 am
12:00 pm
12:15 pm
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

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12:45 pm
1:00 pm
1:15 pm
1:30 pm
1:45 pm
2:00 pm
2:15 pm
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

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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

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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

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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

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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

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2:45 pm
3:00 pm
3:15 pm
3:30 pm
3:45 pm
4:00 pm
4:15 pm
4:30 pm
4:45 pm
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

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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

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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

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5:00 pm
5:15 pm
5:30 pm
5:45 pm
6:00 pm
6:15 pm
6:30 pm
6:45 pm
7:00 pm
7:15 pm
7:30 pm
Gala Party (Physical)
7:45 pm
8:00 pm
8:15 pm
8:30 pm
8:45 pm

Room Keynote - Hybrid

  • Session 21 Keynote Speech
    Elisabeth André
    11:00 am - 12:00 pm
  • Session 22 Keynote Speech
    Verena Rieser
    12:30 pm - 1:30 pm
  • Gala Party (Physical)
    7:30 pm - 9:00 pm

Room 1 - Hybrid

  • Session 17 - AIAI Deep Learning / Evolutionary Computing
    (DEE_EVOC)
    9:45 am - 11:00 am
  • Session 23 - EAAAI / EANN Bio inspired Architectures /Blockchain/ Deep Learning
    BiO_BLO_DL
    2:30 pm - 4:15 pm
  • Session 28 - AIAI MACHINE LEARING MODELING
    (MLM)
    4:45 pm - 6:15 pm

Room 2 - Hybrid

  • Session 18 - EAAAI / EANN Robotics (ROBO)
    10:00 am - 11:00 am
  • Session 24 - AIAI CYBERSECURITY - ANOMALY DETECTION / FUZZY
    (CYB_ANDE_FZ)
    2:30 pm - 4:15 pm
  • Session 29 - AIAI AIBMG 2022
    4:45 pm - 6:15 pm

Room 3 - Remote or Hybrid

  • Session 19 - AIAI ML@HC 2022
    10:00 am - 11:00 am
  • Session 25- AIAI ML@HC 2022
    2:30 pm - 4:15 pm
  • Session 30 - AIAI 5G-PINE 2022
    4:45 pm - 6:15 pm

Room 4 - Remote

  • Session 20 - AIAI MACHINE LEARNING / CLASSIFICATION
    (ML_CLA)
    9:30 am - 11:00 am
  • Session 26- AIAI DAAI Workshop
    2:30 pm - 4:15 pm
  • Session 31 - AIAI Evolutionary Computing
    (EVOC)
    4:45 pm - 6:15 pm

Room 5 - Remote

  • Session 27 - AIAI CONVOLUTIONAL / RECURRENT / REINFORCEMENT
    (CNN_RC_REI)
    2:30 pm - 4:15 pm
  • Session 32 - AIAI Explainable AI / Energy Streams Modeling
    (XAI_ENS)
    4:45 pm - 6:30 pm
Room Keynote - Hybrid Room 1 - Hybrid Room 2 - Hybrid Room 3 - Remote or Hybrid Room 4 - Remote Room 5 - Remote
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

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10:45 am
11:00 am
11:15 am
11:30 am
11:45 am
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

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Session 35 - AIAI
Learning/Recurrent/Reinforce ment
(DL_RC_REI)
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

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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

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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

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12:15 pm
12:30 pm
12:45 pm
1:00 pm
1:15 pm
1:30 pm
1:45 pm
2:00 pm
2:15 pm
2:30 pm
2:45 pm
3:00 pm
Social Activity
Time and Place TBA
3:15 pm
3:30 pm
3:45 pm
4:00 pm
4:15 pm
4:30 pm
4:45 pm
5:00 pm
5:15 pm
5:30 pm

Room Keynote - Hybrid

  • Session 33 Keynote Speech
    Riitta Salmelin
    10:30 am - 11:30 am
  • Social Activity Time and Place TBA
    3:00 pm - 5:45 pm

Room 1 - Hybrid

  • Session 34 - EAAAI / EANN Machine Learning BioMedical
    (ML_BiOM)
    12:00 pm - 1:45 pm

Room 2 - Hybrid

  • Session 35 - AIAI Learning/Recurrent/Reinforce ment
    (DL_RC_REI)
    12:00 pm - 1:45 pm

Room 3 - Remote or Hybrid

  • Session 36 - EAAAI / EANN Bio Inspired / Classification
    (BiO_CLA)
    12:00 pm - 1:45 pm

Room 4 - Remote

  • Session 37 - AIAI Machine Learning/Feature Selection
    (ML_FES)
    12:00 pm - 1:45 pm

Room 5 - Remote

  • Session 38 - AIAI MHWD 2022
    12:00 pm - 1:45 pm
Room Keynote - Hybrid Room 1 - Hybrid Room 2 - Hybrid Room 3 - Remote or Hybrid Room 4 - Remote Room 5 - Remote
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
10:15 am
10:30 am
10:45 am
11:00 am
11:15 am
11:30 am
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
12:00 pm
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

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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

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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

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Session 43 - EAAAI / EANN
Reinforement / Adversarial / Echo state
(REI_ADV_ECH)
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
12:30 pm
12:45 pm
1:00 pm
1:15 pm
1:30 pm
1:45 pm
2:00 pm
2:15 pm
Closing Session

Room Keynote - Hybrid

  • Session 39
    AI & Ethics
    Keynote Speech:
    John Macintyre
    10:00 am - 11:45 am
  • Special Session
    LeADS
    Legality Attentive Data Science Workshop
    Best Practices for the development of intelligent and trustworthy algorithms and systems
    11:45 am - 2:15 pm
  • Closing Session
    2:15 pm - 2:30 pm

Room 1 - Hybrid

  • Session 40 - AIAI CONVOLUTIONAL NN /ENERGY STREAMS MODELING
    (CNN_ENR)
    12:15 pm - 2:00 pm

Room 2 - Hybrid

  • Session 41 - AIAI Fuzzy Modeling/Sentiment Analysis/Learning
    (FZ_SENA_LE)
    12:15 pm - 1:45 pm

Room 3 - Remote or Hybrid

  • Session 42 - EAAAI / EANN Convolutional / Classification/Clustering
    (CON_CLA_CLU)
    12:15 pm - 2:00 pm

Room 4 - Remote

  • Session 43 - EAAAI / EANN Reinforement / Adversarial / Echo state
    (REI_ADV_ECH)
    12:15 pm - 1:45 pm

Room 5 - Remote

  • Session 44 - AIAI Cyber Security - Anomaly Detection / Adaptive
    (CYB_ANDE_ADP)
    12:15 pm - 1:45 pm
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