Program

Program

AIAI / EANN (EAAAI) 2023 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 CEST (Central 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 – Hybrid Room 4 – Remote Room 5 – Remote Room 6 – Remote Room 7 – Remote
10:00 am
Session 1
Keynote Speech
Professor Tamara Silbergleit Lehman
Chair:

Keynote Speaker: Professor Tamara Silbergleit Lehman

Secure, Efficient and High Performance Computing: A Computer Architecture Perspective

• Discussion and Q&A during session

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10:15 am
10:30 am
10:45 am
11:00 am
11:15 am
11:30 am
11:45 am
Session 2 - AIAI
Regression and Classification
(RGR CLASS)
Session 3 - AIAI
IMAGE CLASSIFICATION/MACHINE
VISION (IMG_CLASS MACH_VIS )
Chair: Prof. Ilias Maglogiannis

A Difference Measuring Network for Few-shot Learning
Yu Wang, Junpeng Bao, Yanhua Li, Zhonghui Feng

Accelerated Monitoring of Powder Bed Fusion Additive Manufacturing via High-Throughput Imaging and Low-Latency Machine Learning
Ayyoub Ahar, Rob Heylen, Dries Verhees, Cyril Blanc, Abdellatif Bey-Temsamani

ML-based Prediction of carbon emissions for potato farms in Iran
Seyedeh Razieh Ehsani Amrei, Lakshmi Babu-Saheer, Cristina Luca

Rapid Thrombogenesis Prediction in Covid-19 patients using Machine Learning
Joonglyul Lee, Safaa Alwajidi, Mike Tree, Angelo Cristobal, Haitao Zhao

Utilizing AR and Hybrid Cloud-Edge Platforms for Improving Accessibility in Exhibition Areas
Dionysios Koulouris, Filimon Trastelis, Andreas Menychtas, Dimitrios Kosmopoulos, Ilias Maglogiannis

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Session 4 - AIAI
5G-PINE 2023
(5G-PINE I)
Chair: Dr. Ioannis Chochliouros

OASEES: An Innovative Scope for a DAO-based Programmable Swarm Solution, for Decentralizing AI Applications close to Data Generation Locations
Ioannis P. Chochliouros, Michail-Alexandros Kourtis Et al.

Putting Intelligence into Things: An Overview of Current Architectures
Maria Belesioti, Ioannis P. Chochliouros, Panagiotis Dimas, Manolis Sofianopoulos

Slicing mechanism deployment in 5G networks for robotic use cases
Christina C. Lessi, George Tsiouris Et al.

Implementing Network Applications for 5G-enabled robots through the 5G-ERA platform
Andreas Gavrielides, Marios Sophocleous, Christina C. Lessi, George Agapiou, Jakub Špaňhel, Adrián Lendínez, Renxi Qiu, Dayou Li

Use Cases for Network Applications to Enable Connected Intelligence
Renxi Qiu, Dayou Li, Enjie Liu, Christina C. Lessi, George Agapiou, Andreas Gavrielides

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Session 5 - AIAI
DATA MINING / MACHINE LEARNING
(DMN ML)
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
2:15 pm
Session 6
Keynote Speech
Professor Plamen Angelov
Chair: Prof. Geoffrey Holmes

Keynote Speaker: Professor Plamen Angelov

Interpretable-by-design prototype-based deep learning

• Discussion and Q&A during session

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2:30 pm
2:45 pm
3:00 pm
3:15 pm
3:30 pm
3:45 pm
Session 7 - EANN/EAAAI
GRAPH NN / DEEP LEARNING
(GRA_NN DEEP)
Chair: Prof. Antonio Morán

A Multi-Relationship Language Acquisition Model for Predicting Child Vocabulary Growth
Andrew Roxburgh, Floriana Grasso, Terry R Payne

Hierarchical prediction in incomplete submetering systems using a CNN
Serafin Alonso, Antonio Morán, Daniel Pérez, Miguel A. Prada, Juan J. Fuertes, Manuel Dominguez

Semi-automated System for Pothole Detection and Location
Favell Nuñez, Rodrigo Espinal, Gerardo Zavala, Josue Banegas

Streamlined Training of GCN for Node Classification with Automatic Loss Function and Optimizer Selection
Sanaullah, Shamini Koravuna, Ulrich Rückert, Thorsten Jungeblut

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Session 8 - EANN/EAAAI
DEEP LEARNING – NATURAL
LANGUAGE (DEEP NL)
Chair: Prof. Doina Logofatu

Classification of Time Signals Using Machine Learning Techniques
Ishfaq Ahmad Jadoon, Doina Logofatu, Mohammad Nahin Islam

LoockMe: An Ever Evolving Artificial Intelligence Platform for Location Scouting in Greece
Eleftherios Trivizakis, Vasileios Aidonis Et al.

Object Detection for Functional Assessment Applications
Alessandro Melino-Carrero, Álvaro Nieva Suárez, Cristina Losada-Gutiérrez, Marta Marrón-Romera, Irene Guardiola Luna, Javier Baeza-Mas

Performance Analysis of Digit Recognizer using Various Machine Learning Algorithms
Lakshmi Alekya Chittem, Doina Logofatu, Sheikh Sharfuddin Mim

Towards Automatic Assessment of Quiet Standing Balance During the Execution of ADLs
Irene Guardiola-Luna, Leticia Monasterio-Expósito Et al.

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Session 9 - AIAI
RESEARCH ON ADVANCED AI-BASED DATA ANNOTATION TOOLS
Chair: Mrs. Ester Sancho Lozano

Organization by SIGMA COGNITION S.L.

Introduction to HADA Project – Research on Advanced Data Annotation
Ester Sancho
Project Manager & Research Lead at Sigma Cognition

AI-based methods for text annotation processes – Active Learning
Jorge Rico
Head of NLP Technologies at Sigma Cognition

Challenges in Sound Event Detection and Annotation
Prof. Luis Hernández Gómez
UPM

Using Agnostic Models on Image and Text to Support Video Annotation
Juan Gutierrez Navarro
Assistant Professor at UPM
&
Prof. José Luis Blanco-Murillo
UPM

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Session 10 - AIAI
CLASSIFICATION
(CLASS)
4:00 pm
4:15 pm
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
Social Activity
Walking Tour & Welcome Cocktail

* Not actual duration
Walking tour around city center:
Meeting point: In front of the San Isidoro
GPS coordinates: 42.60045, -5.57071
Starting time: 18:30
Expected duration: 1 hour and half.
Description of the activity: We will visit the most emblematic monuments and places in the old town (San Isidoro, cathedral, main square, Grano square and Casa Botines) accompanied by touristic guides who will explain it and review the history of León.

Welcome cocktail:
Restaurant: El Modernista (Casa Botines): https://ezequielleon.com/el-modernista/
GPS coordinates: 42.598434, -5.570988 (Rear entrance: Pilotos Regueral street)
Starting time: 20:00
Expected duration: 2 hours.
Description of the activity: the welcome cocktail includes a variety of “tapas” (some of them typical from León such as dry meat) and drinks (wine, beer, water, etc.) which will be served to the participants in an informal way.

* Total estimated duration around 3 and a half hours
6:45 pm
7:00 pm
7:15 pm

Room Keynote - Hybrid

  • Session 1 Keynote Speech
    Professor Tamara Silbergleit Lehman
    10:00 am - 11:15 am
  • Session 6 Keynote Speech
    Professor Plamen Angelov
    2:15 pm - 3:15 pm
  • Social Activity Walking Tour & Welcome Cocktail

    * Not actual duration
    6:30 pm - 7:30 pm

Room 1 - Hybrid

  • Session 2 - AIAI Regression and Classification
    (RGR CLASS)
    11:45 am - 1:15 pm
  • Session 7 - EANN/EAAAI GRAPH NN / DEEP LEARNING
    (GRA_NN DEEP)
    3:45 pm - 5:15 pm

Room 2 - Hybrid

  • Session 3 - AIAI IMAGE CLASSIFICATION/MACHINE
    VISION (IMG_CLASS MACH_VIS )
    11:45 am - 1:15 pm
  • Session 8 - EANN/EAAAI DEEP LEARNING – NATURAL
    LANGUAGE (DEEP NL)
    3:45 pm - 5:15 pm

Room 3 – Hybrid

  • Session 4 - AIAI 5G-PINE 2023
    (5G-PINE I)
    11:45 am - 1:15 pm
  • Session 9 - AIAI RESEARCH ON ADVANCED AI-BASED DATA ANNOTATION TOOLS
    3:45 pm - 5:15 pm

Room 4 – Remote

  • Session 5 - AIAI DATA MINING / MACHINE LEARNING
    (DMN ML)
    11:45 am - 1:15 pm
  • Session 10 - AIAI CLASSIFICATION
    (CLASS)
    3:45 pm - 5:15 pm
Room Keynote - Hybrid Room 1 - Hybrid Room 2 - Hybrid Room 3 – Hybrid Room 4 – Remote Room 5 – Remote Room 6 – Remote Room 7 – Remote
9:30 am
Session 11
Keynote Speech
Professor Oresti Baños Legrán
Chair: Prof. Serafin Alonso

Keynote Speaker: Professor Oresti Baños Legrán

Intelligent mobile sensing for understanding human behaviour

• 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
Session 12 - AIAI
MACHINE LEARNING - NATURAL LANGUAGE
(ML NL)
Session 13 - AIAI
IMAGE CLASSIFICATION / BIOMEDICAL MODELING
(IMG_CL BiOMED)
Chair: Prof. Chiara Contoli

Image classification using class-agnostic object detection
Geoffrey Holmes, Eibe Frank, Dale Fletcher

Medical knowledge extraction from graph-based modeling of electronic health records
Athanasios Kallipolitis, Parisis Gallos, Andreas Menychtas, Panayiotis Tsanakas, Ilias Maglogiannis

Predicting Alzheimer's Disease with AI and Brain Imaging Data
Chun-Cheng Peng, Guan-Wei Lin, Jian-Min Lin, Guan-Ting Chen, Wei-Chen Liu

Pre-trained Model Robustness against GAN-based Poisoning Attack in Medical Imaging Analysis
Pakpoom Singkorapoom, Suronapee Phoomvuthisarn

Semi-supervised Brain Tumor Segmentation using Diffusion Models
Ahmed AlShenoudy, Bertram Sabrowsky-Hirsch, Stefan Thumfart, Michael Giretzlehner, Erich Kobler

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Session 14 - AIAI
Mining Humanistic Data (MHDW I)
Chair: Prof. Ioannis Karydis

A Framework for Co-Creation in Generic Educational Activities Using Swarming
Gregory Gasteratos, Eleni Vlachou, Panagiotis Gratsanis, Ioannis Karydis

Analyzing user reviews in the tourism & cultural domains - the case of the City of Athens, Greece
Tasos Papagiannis, George Ioannou, Konstantinos Michalakis, Georgios Alexandridis, George Caridakis

Ensemble Machine-Learning Models for Breast Cancer Identification
Elias Dritsas, Maria Trigka, Phivos Mylonas

Extracting Knowledge from Recombinations of SMILES Representations
Christos Didachos, Andreas Kanavos

Forecasting Stock Market Alternations using Social Media Sentiment Analysis and Regression Techniques
Christina Saravanos, Andreas Kanavos

Readability Classification with Wikipedia data and all-MiniLM embeddings
Elena Vergou, Ioanna Pagouni, Marios Nanos, Katia Lida Kermanidis

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Session 16 - AIAI
DAAI Workshop – Defence Use Cases
Chair: Mr. Isidoros Monogioudis

Isidoros Monogioudis – EDA,
EDA AI Action Plan

Sean Price – SPLUNK,
Building a Responsible Future: Key Lessons from Ethical AI Deployments

Bruno Carron – AIRBUS,
AI4DEF, adressing use cases ranging from Intelligence to collaborative combat, sets bases for an Ethical AI in defence

Shashank Govindaraj – SPACE APPS,
AI for C-IED operations via autonomous agents

Frank Beer, Markus Obexer – INFODAS,
Empowering Data-Centric Security through AI and Cross-Domain Solutions

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Session 17 - AIAI
DEEP LEARNING
(DEEP)
Chair: Dr. Ladislav Lenc

A Sharpe Ratio Based Reward Scheme in Deep Reinforcement Learning for Financial Trading
Georgios Rodinos, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas

Algorithmic Forex Trading using Q-learning
Hasna Haifa Zahrah, Jimmy Tirtawangsa

DeNISE: Deep Networks for Improved Segmentation Edges
Sander Jyhne, Jørgen Åsbu Jacobsen, Morten Goodwin, Per-Arne Andersen

Measuring the State-Observation-Gap in POMDPs: An Exploration of Observation Confidence and Weighting Algorithms
Yide YU, Yan MA, Yue LIU, Dennis WONG, Kin LEI, José Vicente Egas-López

Towards Historical Map Analysis Using Deep Learning Techniques
Ladislav Lenc, Josef Baloun, Jiří Martínek, Pavel Kral

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Session 18 - EANN/EAAAI
DEEP LEARNING / DYNAMIC NETWORKS
(DEEP DYN_NT)
Chair: Prof. Antonios Kalampakas

A Machine Learning Approach for Seismic Vulnerability Ranking
Ioannis Karampinis, Lazaros Iliadis

Advanced Skin Cancer Detection Using Deep Learning
Mai Alzamel, Seba Alhejaili, Fatimah Alhumaidhi, Joud Alismail, Lama Almubarak, Halah Altammami, Costas Iliopoulos, Zara Lim

Discrimination of Attention Deficit Hyperactivity Disorder using Capsule Networks and LSTM Networks on fMRI Data
Arunav Dey, Jigya Singh, Manaswini Rathore, Roshni Govind, Vandana M Ladwani

Gaussian-based Approach for Out-of-Distribution Detection in Deep Learning
Thiago Carvalho, Marley Vellasco, José Franco Amaral

Optimal Traffic Flow Distributions on Dynamic Networks
Armen Bagdasaryan, Antonios Kalampakas, Mansoor Saburov, Stefanos Spartalis

User Equilibrium and System Optimality Conditions for Flow Distributions on Congested Networks
Antonios Kalampakas, Armen Bagdasaryan, Mansur Saburov, Stefanos Spartalis

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11:15 am
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
Session 19 - EANN/EAAAI
MACHINE LEARNING IN INDUSTRY/ENGINEERING
(ML IND_ENG)
Chair: Prof. Matilde Santos

Adaptive model for industrial systems using Echo State Networks
José Ramón Rodríguez-Ossorio, Antonio Morán, Juan J. Fuertes, Miguel A. Prada, Ignacio Díaz-Blanco, Manuel Dominguez

DNN-Driven Gradient-Based Shape Optimization in Fluid Mechanics
Konstantina G. Kovani, Marina G. Kontou, Varvara G. Asouti, Kyriakos C. Giannakoglou

Strain Prediction of a Bridge Deploying Autoregressive Models with ARIMA and Machine Learning Algorithms
Anastasios Panagiotis Psathas, Lazaros Iliadis, Antonios Papaleonidas

Verification of neural networks meets PLC code: An LHC cooling tower control system at CERN
Ignacio D. Lopez-Miguel, Borja Fernández Adiego, Faiq Ghawash, Enrique Blanco Viñuela

Virtual flow meter for an industrial process
Raúl González-Herbón, Guzmán González-Mateos, Serafin Alonso, Miguel A. Prada, Juan J. Fuertes, Antonio Morán, Manuel Dominguez

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Session 20 - AIAI
Visual Analytics Approaches for Complex Problems in Engineering and Biomedicine (VAA-CP-EB)
Chairs: Prof. Ignacio Díaz, Prof. José M. Enguita

An XAI approach to deep learning models in the detection of DCIS
Michele La Ferla

Conditioned fully convolutional denoising autoencoder for energy disaggregation
Diego García, Daniel Pérez, Panagiotis Papapetrou, Ignacio Díaz, Abel A. Cuadrado, José María Enguita, Ana González, Manuel Dominguez

Principal Component Modes of Reservoir Dynamics in Reservoir Computing
José María Enguita, Ignacio Díaz, Diego García, Abel Alberto Cuadrado, José Ramón Rodríguez

Visual analytics tools for the study of complex problems in engineering and biomedicine
Ignacio Díaz, José M. Enguita-González, Abel A. Cuadrado, Diego García, Ana González

Visualizing Cell Motility Patterns from Time Lapse Videos with Interactive 2D Maps Generated with Deep Autoencoders
Ana González, José María Enguita, Ignacio Díaz, Diego García, Abel Alberto Cuadrado, Nuria Valdés, María D. Chiara

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Session 21 - AIAI
EXPLAINABLE AI / SENTIMENT ANALYSIS
(XPL_AI SENT)
Chair: Dr. Ron Triepels

Analysis of the lingering effects of Covid-19 on distance education
Büşra Kocaçınar, Nasibullah Qarizada, Cihan Dikkaya, Emirhan Azgun, Elif Yıldırım, Fatma Patlar Akbulut

CaTabRa: Efficient Analysis and Predictive Modeling of Tabular Data
Alexander Maletzky, Sophie Kaltenleithner, Philipp Moser, Michael Giretzlehner

Explaining Machine Learning-Based Feature Selection of IDS for IoT and CPS Devices
Sesan Akintade, Seongtae Kim, Kaushik Roy

Improving Customer Experience in Call Centers with Intelligent Customer-Agent Pairing
Stylianos Filippou, Andreas Tsiartas, Petros Hadjineophytou, Spyros Christofides, Kleanthis Malialis, Christos G. Panayiotou

Sentiment analysis of tweets on online education during COVID-19
Elif Yıldırım, Harun Yazgan, Onur Özbek, Ahmet Can Günay, Büşra Kocaçınar, Öznur Şengel, Fatma Patlar Akbulut

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Session 22 - AIAI
5G-PINE 2023
(5G-PINE III)
Chair: Dr. Ioannis Chochliouros

Use Cases Employing a Machine Learning Network Architecture
ALEXANDROS KOSTOPOULOS, Ioannis P. Chochliouros Et al.

Network slicing vs. network neutrality - is consent possible?
Lechosław Tomaszewski, Robert Kołakowski

Smart5Grid Testing Strategy & Field Implementations for RT Wide Area Monitoring of Interconnected Systems
Ioannis P. Chochliouros, Dimitrios Brodimas Et al.

Fetal ECG extraction based on Overcomplete ICA and Empirical Wavelet Transform
Theodoros Lampros, Nikolaos Giannakeas Et al.

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Session 23 - AIAI
DAAI Workshop – Defence Use Cases
Chair: Mr. Isidoros Monogioudis

Neil Beet, Steve Algieri – AWS,
Delivering situational awareness at speed and scale for defence

Lukasz Kuncewicz – DIGICA,
Multimodal battlefield observation

Vasilios Papantoniou – HTR,
The path to full autonomy passes through energetics

Pieter-Jan Demeyer – OIP,
AI in Defense applications: Challenges and use cases

Alvaro Alfaro – GMV,
Reinforcement Learning application to the Hybrid Warfare decision making process in a Wargaming Toolkit

Angelos Tsereklas – SOTIRIA,
Fusing multi-sensor data for underwater intelligence applications

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Session 24 - AIAI
AI in Energy, Buildings and Micro-Grids Workshop (ΑΙBMG)
Session 25 - AIAI
Mining Humanistic Data (MHDW II)
Chair: Prof. Aristidis Vrahatis

Applying SCALEX scRNA-seq Data Integration for Precise Alzheimer’s Disease Biomarker Discovery
Aristidis Vrahatis, Konstantinos Lazaros, Petros Paplomatas, Marios G. Krokidis, Themis Exarchos, Panagiotis Vlamos

EventMapping: Geoparsing and Geocoding of Twitter messages in the Greek language
Gerasimos Razis, Ioannis Anagnostopoulos, Ioannis Maroufidis

Handwritten Word Recognition using Deep Learning Methods
Vasileios Lagios, Isidoros Perikos, Ioannis Hatzilygeroudis

Local Maximal Equality-free Periodicities
Mai Alzamel, Jacqueline W. Daykin, Christopher Hampson, Costas S. Iliopoulos, Zara Lim, W. F. Smyth

Using Siamese BiLSTM Models for Identifying Text Semantic Similarity
Georgios Fradelos, Isidoros Perikos, Ioannis Hatzilygeroudis

Water Quality estimation from IoT sensors using a Meta-ensemble
Gregory Davrazos, Theodor Panagiotakopoulos, Sotiris Kotsiantis

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2:00 pm
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
Social Activity
Excursion to Valporquero cave & Gala Dinner

* Not actual duration
Visit to Valporquero cave (in groups) http://www.cuevadevalporquero.es/
Address: Valporquero del Torío, León
GPS coordinates: 42.906287, -5.558550
Departure from conference venue (Engineering School): 16:15
Starting the visit in groups (depending on the number of participants): 17:15 (the remaining groups will be stepped)
Expected duration: 1 hour (each group)
Recommendations: Participants should wear appropriate clothing and footwear due to the humidity and water inside the cave.
Departure to Villamanín (for dinner): 19:15

Gala dinner:
Restaurant: Casa Ezequiel https://www.embutidosezequiel.com/en/
Address: Ctra. Asturias, 7 - Villamanín, León
GPS coordinates: 42.938314, -5.659280
Starting time: 20:00
Expected duration: 2 hours and half.
Description of the activity: the gala dinner includes a traditional menu with several starters for sharing, then a main course and finally a desert (drinks and coffee or tea are included). It will be served in a formal way (seated).
Estimates Arrival to León time: 23:30

* Total estimated duration around 6 hours.
4:30 pm
4:45 pm
5:00 pm

Room Keynote - Hybrid

  • Session 11 Keynote Speech
    Professor Oresti Baños Legrán
    9:30 am - 10:30 am
  • Social Activity Excursion to Valporquero cave & Gala Dinner

    * Not actual duration
    4:15 pm - 5:15 pm

Room 1 - Hybrid

  • Session 12 - AIAI MACHINE LEARNING - NATURAL LANGUAGE
    (ML NL)
    11:00 am - 12:30 pm
  • Session 19 - EANN/EAAAI MACHINE LEARNING IN INDUSTRY/ENGINEERING
    (ML IND_ENG)
    1:45 pm - 3:15 pm

Room 2 - Hybrid

  • Session 13 - AIAI IMAGE CLASSIFICATION / BIOMEDICAL MODELING
    (IMG_CL BiOMED)
    11:00 am - 12:30 pm
  • Session 20 - AIAI Visual Analytics Approaches for Complex Problems in Engineering and Biomedicine (VAA-CP-EB)
    1:45 pm - 3:15 pm

Room 3 – Hybrid

  • Session 14 - AIAI Mining Humanistic Data (MHDW I)
    11:00 am - 12:45 pm
  • Session 21 - AIAI EXPLAINABLE AI / SENTIMENT ANALYSIS
    (XPL_AI SENT)
    1:45 pm - 3:15 pm

Room 4 – Remote

  • Session 15 - AIAI 5G-PINE 2023
    (5G-PINE II)
    11:00 am - 12:30 pm
  • Session 22 - AIAI 5G-PINE 2023
    (5G-PINE III)
    1:45 pm - 3:15 pm

Room 5 – Remote

  • Session 16 - AIAI DAAI Workshop – Defence Use Cases
    11:00 am - 12:45 pm
  • Session 23 - AIAI DAAI Workshop – Defence Use Cases
    1:45 pm - 3:30 pm

Room 6 – Remote

  • Session 17 - AIAI DEEP LEARNING
    (DEEP)
    11:00 am - 12:30 pm
  • Session 24 - AIAI AI in Energy, Buildings and Micro-Grids Workshop (ΑΙBMG)
    1:45 pm - 3:45 pm

Room 7 – Remote

  • Session 18 - EANN/EAAAI DEEP LEARNING / DYNAMIC NETWORKS
    (DEEP DYN_NT)
    11:00 am - 12:30 pm
  • Session 25 - AIAI Mining Humanistic Data (MHDW II)
    1:45 pm - 3:30 pm
Room Keynote - Hybrid Room 1 - Hybrid Room 2 - Hybrid Room 3 – Hybrid Room 4 – Remote Room 5 – Remote Room 6 – Remote Room 7 – Remote
10:00 am
Session 26
Keynote Speech
Dr. Javier Alonso Lopez
Chair: Prof. Miguel Angel Prada

Keynote Speaker: Dr. Javier Alonso Lopez

How AI/Machine Learning has the power of revolutionizing (for good?) cybersecurity?

• Discussion and Q&A during session

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10:15 am
10:30 am
10:45 am
11:00 am
11:15 am
11:30 am
Session 27 - EANN/EAAAI
EXPLAINABLE AI/ CLUSTERING /TIMESERIES
(XPLA CLU TMS)
Session 28 - AIAI
CONVOLUTIONAL NEURAL NETWORKS
(CNN)
Chair: Dr. Sergio Cebollada

3D Attention based YOLO-SWINF for real-time video object detection
Pradeep Moturi, Mukund Khanna, Kunal Singh

Analysis of Data Augmentation Techniques for Mobile Robots Localization by Means of Convolutional Neural Networks
Orlando José Céspedes, Sergio Cebollada, Juan José Cabrera, Óscar Reinoso, Luis Payá

Intrusion Detection using Attention-Based CNN-LSTM Model
Ban AlOmar, Zouheir Trabelsi

Predicting Hotel Performance in Oman with AI-Driven Predictive Analytic
R.S. Al Jassim, Karan Jetly, Shqran Al Mansoory, Muna Al-Balushi, Hilal Al Maqbali

Real-Time Arabic Digit Spotting with TinyML-Optimized CNNs on Edge Devices
Yasmine Abu Adla, Mazen A. R. Saghir, Mariette Awad

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Session 29 - AIAI
DEEP LEARNING
(DEEP)
Chair: Dr. Antonios Papaleonidas

Decentralized Multi Agent Deep Reinforcement Q-learning for Intelligent Traffic Controller
Thamilselvam B, Subrahmanyam Kalyanasundaram, M.V. Panduranga Rao

Deep Learning Based Employee Attrition Prediction
Kerem Gürler, Burcu Kuleli Pak, Vehbi Cagri Gungor

Deep Reinforcement Learning for Robust Goal-Based Wealth Management
Tessa Bauman, Bruno Gašperov, Stjepan Begušić, Zvonko Kostanjčar

Generating synthetic vehicle speed records using LSTM
Jiri Vrany, Michal Krepelka, Matej Chumlen

The Importance of the Current Input in Sequence Modeling
Christian Oliva, Luis F. Lago-Fernández

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Session 30 - EANN/EAAAI
CLASSIFICATION /CYBER SECURITY
(CLASS CYBS)
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 31
Keynote Speech
Professor John MacIntyre
Chair: Prof. Ilias Maglogiannis

Keynote Speaker: Professor John MacIntyre

AI & ETHICS
+
Doctoral Track

• Discussion and Q&A during session

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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 32 - EANN/EAAAI
CLASSIFICATION / SECURITY/ETHOLOGY
(CLASS SEC ETH)
Chair: Prof. Dario Malchiodi

A Critical Analysis of Classifier Selection in Learned Bloom Filters: the Essentials
Dario Malchiodi, Davide Raimondi, Giacomo Fumagalli, Raffaele Giancarlo, Marco Frasca

BotDroid: Permission-based Android Botnet Detection Using Neural Networks
Saeed Seraj, Elias Pimenidis, Michalis Pavlidis, Stelios Kapetanakis, Marcello Trovati, Nikolaos Polatidis

Computational Ethology: short review of current sensors and artificial intelligence based methods
Marina Aguilar-Moreno, Manuel Graña

Generation of Bases for Classification in the Bio-inspired Layered Networks
Naohiro Ishii, Kazunori Iwata, Tokuro Matsuo

Towards Improved User Experience for Artificial Intelligence Systems
Lisa Brand, Bernhard G. Humm, Andrea Krajewski, Alexander Zender

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Session 33 - AIAI
CLASSIFICATION/GRAPHS/NATURAL LANGUAGE
(CLASS GRPH NL)
Chair: Prof. Andrew Starkey

Exploring pairwise spatial relationships for actions recognition and scene graph generation
Anfel AMIRAT, Nadia BAHA, Lamine BENRAIS

Hyperspectral Classification of Recyclable Plastics in Industrial Setups
Georgios Alexakis, Michail Maniadakis

Ince-PD model for Parkinson’s Disease Prediction using MDS-UPDRS I & II and PDQ-8 Score
Nikos Tsolakis, Christoniki Maga-Nteve, Georgios Meditskos, Stefanos Vrochidis, Ioannis Kompatsiaris

Probabilistic Decision Trees for Predicting 12-Month University Students Likely to Experience Suicidal Ideation
Efthyvoulos Drousiotis, Daniel Joyce, Robert Dempsey, Alina Haines, Paul Spirakis, Lei Shi, Simon Maskell

Towards Automatic Evaluation of NLG Tasks using Conversational Large Language Models
Md Riyadh, Omair Shafiq

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Session 34 - AIAI
DEEP LEARNING / BOOSTING
(DEEP BOOST)
Session 35 - AIAI
DEEP LEARNING in INDUSTRY
(DEEP IND)
Chair: Prof. Paulo Cortez

AutoTiM - An Open-Source Service for Automated Provisioning and Operation of Time Series Based Machine Learning Models
Andre Ebert, Jakob Kempter, Marina Siebold, Robert Pesch, Tetyana Turiy, Tevin Tchuinkam, Thomas Caffin Sune

Characterization of an absorption machine using artificial neural networks
Alfonso Jesús Ferre Montoya, María del Mar Castilla Nieto, José Antonio Carballo López, José Domingo Álvarez Hervás

Hybrid Machine Learning and Autonomous Control assisted Framework for Fault Diagnostics and Mitigation in Diesel Engines
Raman Goyal, Dhrubajit Chowdhury, Subhashis Hazarika, Raj Pradip Khawale, Shubhendu Kumar Singh, Lara Crawford, Rahul Rai

Machine Learning for Predicting Production Disruptions in the Wood-Based Panels Industry: A Demonstration Case
Claudia Afonso, Arthur Matta, Luís Miguel Matos, Miguel Bastos Gomes, Antonina Santos, Andre Pilastri, Paulo Cortez

Pre-Launch Fashion Product Demand Forecasting Using Machine Learning Algorithms
Marios Arampatzis, Georgios Theodoridis, Athanasios Tsadiras

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4:30 pm
4:45 pm
5:00 pm
5:15 pm
5:30 pm

Room Keynote - Hybrid

  • Session 26 Keynote Speech
    Dr. Javier Alonso Lopez
    10:00 am - 11:00 am
  • Session 31 Keynote Speech
    Professor John MacIntyre
    2:00 pm - 4:15 pm

Room 1 - Hybrid

  • Session 27 - EANN/EAAAI EXPLAINABLE AI/ CLUSTERING /TIMESERIES
    (XPLA CLU TMS)
    11:30 am - 1:00 pm
  • Session 32 - EANN/EAAAI CLASSIFICATION / SECURITY/ETHOLOGY
    (CLASS SEC ETH)
    4:15 pm - 5:45 pm

Room 2 - Hybrid

  • Session 28 - AIAI CONVOLUTIONAL NEURAL NETWORKS
    (CNN)
    11:30 am - 1:00 pm
  • Session 33 - AIAI CLASSIFICATION/GRAPHS/NATURAL LANGUAGE
    (CLASS GRPH NL)
    4:15 pm - 5:45 pm

Room 3 – Hybrid

  • Session 29 - AIAI DEEP LEARNING
    (DEEP)
    11:30 am - 1:00 pm
  • Session 34 - AIAI DEEP LEARNING / BOOSTING
    (DEEP BOOST)
    4:15 pm - 5:45 pm

Room 4 – Remote

  • Session 30 - EANN/EAAAI CLASSIFICATION /CYBER SECURITY
    (CLASS CYBS)
    11:30 am - 1:00 pm
  • Session 35 - AIAI DEEP LEARNING in INDUSTRY
    (DEEP IND)
    4:15 pm - 5:45 pm
Room Keynote - Hybrid Room 1 - Hybrid Room 2 - Hybrid Room 3 – Hybrid Room 4 – Remote Room 5 – Remote Room 6 – Remote Room 7 – Remote
9:30 am
Session 36 - EANN/EAAAI
DEEP LEARNING (ENERGY / RECOMMENDATION / GRAPHS)
(DEEP ENR RECMN)
Chair: Dr. Konstantinos Demertzis

A Novel Neural Network-Based Recommender System for Drug Recommendation
Hadi Al Mubasher, Ziad Doughan, Layth Sliman, Ali Haidar

Knowledge Graph of Urban Firefighting with Rule-based Entity Extraction
Xudong Wang, Nady Slam, Zixiang Zhang, Mingtong Zhang, Jingrong Wang

Residual Error Learning for Electricity Demand Forecasting
Achilleas Andronikos, Maria Tzelepi, Anastasios Tefas

Wind Energy Prediction Guided by Multiple-Location Weather Forecasts
Charalampos Symeonidis, Nikos Nikolaidis

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Session 37 - AIAI
LEARNING / AUTO ENCODERS
(LEAR AUTOEN)
Chair: Dr. Cristian Daniel Alecsa

Active Learning Query Strategy Selection Using Dataset Meta-Features Extraction
Vangjel Kazllarof, Sotiris Kotsiantis

Maritime Federated Learning for Decentralized On-ship Intelligence
Anastasios Giannopoulos, Nikolaos Nomikos, Georgios Ntroulias, Theodoros Syriopoulos, Panagiotis Trakadas

OF-AE: Oblique Forest AutoEncoders
Cristian Daniel Alecsa

VAE-based generic decoding via subspace partition and priori utilization
Mingyang Sheng, Yongqiang Ma, Kai Chen, and Nanning Zheng

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Session 38 - AIAI
DEEP / CYBER_DEFENCE / HEURISTICS / GRAPH NN
(DEEP CYDEF HEU GRNN)
Chair: Prof. Daniel Perez

GCN-based reinforcement learning approach for scheduling DAG applications
Julius Roeder, Andy Pimentel, Clemens Grelck

Next Generation Automated Reservoir Computing for Cyber Defense
Konstantinos Demertzis, Lazaros Iliadis

Prediction of Drug Interactions Using Graph-topological Features and GNN
Navyasree Balamuralidhar, Pranav Surendran, Gaurav Singh, Shrutilipi Bhattacharjee, Ramya D Shetty

Scheduling the Service of Cargo Vessels in a Single Port with Spatial and Temporal Constraints
Loukas Chatzivasili, Emmanouil S. Rigas, Nick Bassiliades

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9:45 am
10:00 am
10:15 am
10:30 am
10:45 am
Session 39
Keynote Speech
Professor Yaochu Jin
Chair: Prof. Ilias Maglogiannis

Keynote Speaker: Professor Yaochu Jin

Evolutionary Neural Architecture Search: Computational Efficiency, Privacy Preservation and Robustness Enhancement

• Discussion and Q&A during session

Join Room
11:00 am
11:15 am
11:30 am
11:45 am
Session 40 - AIAI
DEEP_LEARNING / ROBOTICS/ SPIKING NN
(DEEP ROBO SPIKE)
Session 41 - AIAI
CLASSIFICATION / EXPLAINABLE AI / ANOMALY DETECTION
(CLASS EXPL ANOM)
Session 42 - EANN/EAAAI
DEEP_LEARNING / SPIKING / IoT
(DEEP SPIKE IoT)
Chair: Dr. Florian Merkle

Cross-learning-based sales forecasting using deep learning via partial pooling from multi-level data
José Manuel Oliveira, Patricia Ramos

Digital Transformation for Offshore Assets: A Deep Learning Framework for Weld Classification in Remote Visual Inspections.
Luis Alberto Toral-Quijas, Eyad Elyan, Carlos Francisco Moreno-García, Jan Stander

Frameworks for SNNs: a Review of Data Science-oriented Software and an Expansion of SpykeTorch
Davide Liberato Manna, Alex Vicente-Sola, Paul Kirkland, Trevor J. Bihl, Gaetano Di Caterina

Pruning for Power: Optimizing Energy Efficiency in IoT with Neural Network Pruning
Thomas Widmann, Florian Merkle, Martin Nocker, Pascal Schöttle

Toward an Epidermal patch for voice prosthesis and diseases prediction by a fuzzy-neuro paradigm
Mario Malcangi, Giovanni Felisati, Alberto Saibene, Enrico Alfonsi, Mauro Fresia, Pasquale Cambiaghi

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Session 43 - EANN/EAAAI
DEEP / FEDERATED ENSEMBLE
(DEEP FED ENSM)
Session 44 - AIAI
DEEP_LEARNING / TEXT MINING
(DEEP TXMN)
Session 45 - AIAI
AI SOCIAL IMPACT / EXPLAINABLE AI / TEXT MINING ROBOTICS
(SOCI EXPL TXMN ROBO)
Chair: Prof. Nicolas Tsapatsoulis

An innovative method to study the social impact of AI on the work environment based on a multi-dimensional human-centred analysis of the worker-AI team
Simona D'Attanasio, Sara De Martino, Yann Ferguson

Data Collection Automation in Machine Learning Process using Robotic Manipulator
Piotr Reczek, Jakub Panczyk, Andrzej Wetula, Andrzej Młyniec

Explaining the Unexplainable: Role of XAI for Flight Take-Off Time Delay Prediction
Waleed Jmoona, Mobyen Uddin Ahmed, Mir Riyanul Islam, Shaibal Barua, Shahina Begum, Ana Ferreira, Nicola Cavagnetto

Thematic Modeling of UN Sustainable Development Goals: A Comparative Meta-based Approach
Harris Partaourides, Emily Kouzaridi, Nicolas Tsapatsoulis, Constantinos Djouvas

Join Room
12:00 pm
12:15 pm
12:30 pm
12:45 pm
1:00 pm
1:15 pm
Closing Ceremomy
1:30 pm

Room Keynote - Hybrid

  • Session 39 Keynote Speech
    Professor Yaochu Jin
    10:45 am - 11:45 am
  • Closing Ceremomy
    1:15 pm - 1:45 pm

Room 1 - Hybrid

  • Session 40 - AIAI DEEP_LEARNING / ROBOTICS/ SPIKING NN
    (DEEP ROBO SPIKE)
    11:45 am - 1:15 pm

Room 2 - Hybrid

  • Session 41 - AIAI CLASSIFICATION / EXPLAINABLE AI / ANOMALY DETECTION
    (CLASS EXPL ANOM)
    11:45 am - 1:15 pm

Room 3 – Hybrid

  • Session 42 - EANN/EAAAI DEEP_LEARNING / SPIKING / IoT
    (DEEP SPIKE IoT)
    11:45 am - 1:15 pm

Room 4 – Remote

  • Session 36 - EANN/EAAAI DEEP LEARNING (ENERGY / RECOMMENDATION / GRAPHS)
    (DEEP ENR RECMN)
    9:30 am - 10:45 am
  • Session 43 - EANN/EAAAI DEEP / FEDERATED ENSEMBLE
    (DEEP FED ENSM)
    11:45 am - 1:15 pm

Room 5 – Remote

  • Session 37 - AIAI LEARNING / AUTO ENCODERS
    (LEAR AUTOEN)
    9:30 am - 10:45 am
  • Session 44 - AIAI DEEP_LEARNING / TEXT MINING
    (DEEP TXMN)
    11:45 am - 1:15 pm

Room 6 – Remote

  • Session 38 - AIAI DEEP / CYBER_DEFENCE / HEURISTICS / GRAPH NN
    (DEEP CYDEF HEU GRNN)
    9:30 am - 10:45 am
  • Session 45 - AIAI AI SOCIAL IMPACT / EXPLAINABLE AI / TEXT MINING ROBOTICS
    (SOCI EXPL TXMN ROBO)
    11:45 am - 1:15 pm
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