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:
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| 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 Join Room | |||||||
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| 11:45 am | Session 2 - AIAI Regression and Classification (RGR CLASS) Chair: Prof. Serafin Alonso → Decoding Customer Behaviour: Relevance of Web and Purchasing Behaviour in Predictive Response Modeling Suncica Rogic, Ljiljana Kascelan → Forecasting of wind turbine synthetic signals based on nonlinear autoregressive networks Cristian Blanco, J. Enrique Sierra-García, Matilde Santos → MPPT Control in an Offshore Wind Turbine Optimized with Genetic Algorithms and Unsupervised Neural Networks Eduardo Muñoz-Palomeque, Jesús Enrique Sierra-García, Matilde Santos → Optimizing Feature Selection and Oversampling Using Metaheuristic Algorithms for Binary Fraud Detection Classification Mariam M. Biltawi, Raneem Qaddoura, Hossam Faris → Predicting student performance with virtual resources interaction data Alex Martínez-Martínez, Raul Montoliu, Jesús Aguiló Salinas, Inmaculada Remolar Join Room | 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 Join Room | 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 Join Room | Session 5 - AIAI DATA MINING / MACHINE LEARNING (DMN ML) Chair: Dr. Harris Partaouridis → A Temporal Metric-based Efficient Approach to Predict Citation Counts of Scientists Saumya Kumar Dewangan, Shrutilipi Bhattacharjee, Ramya D. Shetty → Exploring the power of failed experiences in case-based reasoning for Improved Decision Making Fateh Boulmaiz, Patrick Regnier, Stephane Ploix → Mind the gap: addressing incompleteness challenge in case-based reasoning applications Fateh Boulmaiz, Patrick Reignier, Stephane Ploix → Sleep Disorder Classification Using Convolutional Neural Networks Chun-Cheng PENG, Chu-Yun KOU → Tracking-by-Self Detection: A self-supervised framework for multiple animal tracking CB Dev Narayan, Fayaz Rahman Et al. Join Room | ||||
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| 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 Join Room | |||||||
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| 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 Join Room | 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. Join Room | 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 Join Room | Session 10 - AIAI CLASSIFICATION (CLASS) Chair: Dr. Abraham Yosipof → A methodology for emergency calls severity prediction: from pre-processing to BERT-based classifiers Marianne Abi Kanaan, Jean-François Couchot, Christophe Guyeux, David Laiymani, Talar Atechian, Rony Darazi → Comparing vectorization techniques, supervised and unsupervised classification methods for scientific publication categorization in the UNESCO taxonomy. Neil Villamizar, Jesús Wahrman, Minaya Villasana → Fusion of Learned Representations for Multimodal Sensor Data Classification Lee B. Hinkle, Gentry Atkinson, Vangelis Metsis → Mining the Discussion of Monkeypox Misinformation on Twitter Using RoBERTa Or Elroy, Dmitry Erokhin, Nadejda Komendantova, Abraham Yosipof → Multi-feature Transformer for Multiclass Cyberbullying Detection in Bangla Zaman Wahid, Abdullah Al Imran Join Room | ||||
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| 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 | |||||||
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Room Keynote - Hybrid
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Session 1 Keynote Speech
Professor Tamara Silbergleit Lehman -
Session 6 Keynote Speech
Professor Plamen Angelov -
Social Activity Walking Tour & Welcome Cocktail
* Not actual duration
Room 1 - Hybrid
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Session 2 - AIAI Regression and Classification
(RGR CLASS) -
Session 7 - EANN/EAAAI GRAPH NN / DEEP LEARNING
(GRA_NN DEEP)
Room 2 - Hybrid
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Session 3 - AIAI IMAGE CLASSIFICATION/MACHINE
VISION (IMG_CLASS MACH_VIS ) -
Session 8 - EANN/EAAAI DEEP LEARNING – NATURAL
LANGUAGE (DEEP NL)
Room 3 – Hybrid
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Session 4 - AIAI 5G-PINE 2023
(5G-PINE I) -
Session 9 - AIAI RESEARCH ON ADVANCED AI-BASED DATA ANNOTATION TOOLS
Room 4 – Remote
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Session 5 - AIAI DATA MINING / MACHINE LEARNING
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Session 10 - AIAI CLASSIFICATION
(CLASS)
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| 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 Join Room | |||||||
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| 11:00 am | Session 12 - AIAI MACHINE LEARNING - NATURAL LANGUAGE (ML NL) Chair: Prof. Konstantinos Delibasis → Are these descriptions referring to the same entity or just to similar ones? Peter Kardos, Richárd Farkas → Efficient Approaches for the Discovery of Sensitive Information by Using Natural Language Processing Techniques Kushal Shree Dhani, Benedikt Zundel, Doina Logofatu → Generation of optimum Frenet curves by genetic algorithms for AGVs Eduardo Bayona, J. Enrique Sierra-Carcia, Matilde Santos → SASHA: Hyperparameter Optimization by Simulated Annealing and Successive Halving Ron Triepels → The Effect of Tensor Rank on CNN's Performance Eleftheria Vorgiazidou, Konstantinos Delibasis, Ilias Maglogiannis Join Room | 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 Join Room | 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 Join Room | Session 15 - AIAI 5G-PINE 2023 (5G-PINE II) Chair: Dr. Ioannis Chochliouros → Techno-economic Analysis Highlighting Aspects of 5G Network Deployments at Railway Environments Ioanna Mesogiti, Eleni Theodoropoulou Et al. → Media Services in Dense, Static and Mobile Environments Leveraging Edge Deployments Maria-Evgenia Xezonaki, Nikos Psaromanolakis Et al. → ETHER: Energy- and cost-efficient framework for seamless connectivity over the integrated terrestrial and non-terrestrial 6G networks Lechosław Tomaszewski, Robert Kołakowski Et al. → 6G-BRICKS: Developing a Modern Experimentation Facility for Validation, Testing and Showcasing of 6G Breakthrough Technologies and Devices Ioannis P. Chochliouros, John Vardakas Et al. Join Room | 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 Join Room | 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 Join Room | 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 Join Room | |
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| 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 Join Room | 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 Join Room | 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 Join Room | 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. Join Room | 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 Join Room | Session 24 - AIAI AI in Energy, Buildings and Micro-Grids Workshop (ΑΙBMG) Chairs: Prof. Stelios Krinidis, Dr. Iakovos Michailidis → A Guide to Visual Comfort: An Overview of Indices and Its Applications Christos Tzouvaras, Asimina Dimara Et al. → A novel social collaboration platform for enhancing energy awareness Efstathia Martinopoulou, Asimina Dimara Et al. → Ensuring Reliability in Smart Building IoT Operations through Real-Time Holistic Data Treatment Aliki Stefanopoulou, Asimina Dimara Et al. → Realtime multi-factor dynamic thermal comfort estimation for indoor environments Georgia Tzitziou, Asimina Dimara Et al. → Self-protection of IoT gateways against breakdowns and failures enabling automated sensing and control Alexios Papaioannou, Asimina Dimara Et al. → Semantic Interoperability for managing Energy-efficiency and IEQ: A short review Christos Tzouvaras, Asimina Dimara Et al. → Treating Common Problems Observed during Smart Building Control Real-Life Testing: Sharing Practical Experience Georgios Karatzinis, Iakovos Michailidis Et al. Join Room | 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 Join Room | |
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| 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. | |||||||
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Room Keynote - Hybrid
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Session 11 Keynote Speech
Professor Oresti Baños Legrán -
Social Activity Excursion to Valporquero cave & Gala Dinner
* Not actual duration
Room 1 - Hybrid
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Session 12 - AIAI MACHINE LEARNING - NATURAL LANGUAGE
(ML NL) -
Session 19 - EANN/EAAAI MACHINE LEARNING IN INDUSTRY/ENGINEERING
(ML IND_ENG)
Room 2 - Hybrid
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Session 13 - AIAI IMAGE CLASSIFICATION / BIOMEDICAL MODELING
(IMG_CL BiOMED) -
Session 20 - AIAI Visual Analytics Approaches for Complex Problems in Engineering and Biomedicine (VAA-CP-EB)
Room 3 – Hybrid
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Session 14 - AIAI Mining Humanistic Data (MHDW I)
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Session 21 - AIAI EXPLAINABLE AI / SENTIMENT ANALYSIS
(XPL_AI SENT)
Room 4 – Remote
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Session 15 - AIAI 5G-PINE 2023
(5G-PINE II) -
Session 22 - AIAI 5G-PINE 2023
(5G-PINE III)
Room 5 – Remote
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Session 16 - AIAI DAAI Workshop – Defence Use Cases
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Session 23 - AIAI DAAI Workshop – Defence Use Cases
Room 6 – Remote
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Session 17 - AIAI DEEP LEARNING
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Session 24 - AIAI AI in Energy, Buildings and Micro-Grids Workshop (ΑΙBMG)
Room 7 – Remote
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Session 18 - EANN/EAAAI DEEP LEARNING / DYNAMIC NETWORKS
(DEEP DYN_NT) -
Session 25 - AIAI Mining Humanistic Data (MHDW II)
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| 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 Join Room | |||||||
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| 11:30 am | Session 27 - EANN/EAAAI EXPLAINABLE AI/ CLUSTERING /TIMESERIES (XPLA CLU TMS) Chair: Prof. Kaushik Roy → DACL: A Domain-Adapted Contrastive Learning approach to Low Resource Language Representations for Document Clustering tasks Dimitrios Zaikis, Stylianos Kokkas, Ioannis Vlahavas → Evaluating the Extraction of Toxicological Properties with Extractive Question Answering Bruno Carlos Luís Ferreira, Hugo Gonçalo Oliveira, Hugo Amaro, Ângela Laranjeiro, Catarina Silva → Forecasting Functional Time Series using Federated Learning Raúl Llasag Rosero, Catarina Silva, Bernardete Ribeiro → Modeling Others as a Player in Non-cooperative Game for Multi-agent Coordination Junjie Zhong, Toshiharu Sugawara → Towards Explaining Shortcut Learning Through Attention Visualization and Adversarial Attacks Pedro Gonçalo Correia, Henrique Lopes Cardoso Join Room | 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 Join Room | 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 Join Room | Session 30 - EANN/EAAAI CLASSIFICATION /CYBER SECURITY (CLASS CYBS) Chair: Prof. Lazaros Iliadis → An Autonomous Self-Learning and Self-Adversarial Training Neural Architecture for Intelligent and Resilient Cyber Security Systems Konstantinos Demertzis, Lazaros Iliadis → Balancing high-dimensional datasets with complex layers Leon Bobrowski → Conductivity Classification Using Machine Learning Algorithms in the “Bramianon” Dam Nichat Kiourt, Lazaros Iliadis, Antonios Papaleonidas → Load-Shedding Management in a Smart Grid Architecture Through Smart Metering Muhammad Faizan Khan, Gul Muhammad Khan → Multi-View Semi-Supervised Learning using Privileged Information Evgueni Smirnov, Richard Delava, Ron Diris, Nikolay Nikolaev Join Room | ||||
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| 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 Join Room | |||||||
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| 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 Join Room | 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 Join Room | Session 34 - AIAI DEEP LEARNING / BOOSTING (DEEP BOOST) Chair: Prof. Daniel Stamate → Control of a Water Tank System with Value Function Approximation Shamal Lalvani, Aggelos Katsaggelos → Detecting P300-ERPs Building a Post-Validation Neural Ensemble with Informative Neurons from a Recurrent Neural Network Christian Oliva, Vinicio Changoluisa, Francisco B. Rodríguez, Luis F. Lago-Fernández → Energy efficiency of Deep Learning Compression Techniques in Wearable Human Activity Recognition Chiara Contoli, Emanuele Lattanzi → Enhancing medication event classification with syntax parsing and adversarial learning Zsolt Szántó, Balázs Bánáti, Tamás Zombori → Predicting Colour Reflectance with Gradient Boosting and Deep Learning Asei Akanuma, Daniel Stamate, Mark Bishop Join Room | 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 Join Room | ||||
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Room Keynote - Hybrid
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Session 26 Keynote Speech
Dr. Javier Alonso Lopez -
Session 31 Keynote Speech
Professor John MacIntyre
Room 1 - Hybrid
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Session 27 - EANN/EAAAI EXPLAINABLE AI/ CLUSTERING /TIMESERIES
(XPLA CLU TMS) -
Session 32 - EANN/EAAAI CLASSIFICATION / SECURITY/ETHOLOGY
(CLASS SEC ETH)
Room 2 - Hybrid
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Session 28 - AIAI CONVOLUTIONAL NEURAL NETWORKS
(CNN) -
Session 33 - AIAI CLASSIFICATION/GRAPHS/NATURAL LANGUAGE
(CLASS GRPH NL)
Room 3 – Hybrid
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Session 29 - AIAI DEEP LEARNING
(DEEP) -
Session 34 - AIAI DEEP LEARNING / BOOSTING
(DEEP BOOST)
Room 4 – Remote
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Session 30 - EANN/EAAAI CLASSIFICATION /CYBER SECURITY
(CLASS CYBS) -
Session 35 - AIAI DEEP LEARNING in INDUSTRY
(DEEP IND)
| Room Keynote - Hybrid | Room 1 - Hybrid | Room 2 - Hybrid | Room 3 – Hybrid | Room 4 – Remote | Room 5 – Remote | Room 6 – Remote | Room 7 – Remote | |
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| 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 Join Room | 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 Join Room | 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 Join Room | |||||
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| 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 | |||||||
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| 11:45 am | Session 40 - AIAI DEEP_LEARNING / ROBOTICS/ SPIKING NN (DEEP ROBO SPIKE) Chair: Prof. Abel Alberto Cuadrado → Efficient Spatio-Temporal Graph Neural Networks for Traffic Forecasting Yackov Lubarsky, Alexei Gaissinski, Pavel Kisilev → Emergence of communication through artificial evolution in an orientation consensus task in swarm robotics Rafael Sendra-Arranz, Álvaro Gutiérrez → Lossless Method of Constraining Membrane Potential in Deep Spiking Neural Networks Yijie Miao, Makoto Ikeda → Matching patterns of temporal neural activity using the Victor-Purpura distance in real-time Alberto Ayala, Angel Lareo, Pablo Varona, Francisco Β. Rodriguez → Transfer Learning through Knowledge-Infused Representations with Contextual Experts Daniel Biermann, Morten Goodwin, Ole-Christoffer Granmo Join Room | Session 41 - AIAI CLASSIFICATION / EXPLAINABLE AI / ANOMALY DETECTION (CLASS EXPL ANOM) Chair: Dr. Pedro Santos → Cognitive Digital Twin in Manufacturing: A Heuristic Optimization Approach Atiq ur Rehman, Mobyen Uddin Ahmed, Shahina Begum → Implicit directed acyclic graphs (DAGs) for parallel outlier / anomaly detection ensembles David Muhr, Michael Affenzeller, Josef Küng → Natural Language Processing for the Turkish Academic Texts in the Engineering Field: Key-term Extraction, Similarity Detection, Subject/Topic Assignment Bora Kat → One-Class Models for Intrusion Detection at ISP Customer Networks Nuno Schumacher, Pedro M. Santos, Pedro F. Souto, Nuno Martins, Joana Sousa, João M. Ferreira, Luis Almeida → Towards Autonomous Developmental Artificial Intelligence: Case study for Explainable AI Andrew Starkey, Chinedu Pascal Ezenkwu Join Room | 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 Join Room | Session 43 - EANN/EAAAI DEEP / FEDERATED ENSEMBLE (DEEP FED ENSM) Chair: Prof. Cira Perna
→ Deep Transfer Learning Application for Intelligent Marine Debris Detection Kai Yuan Chia, Cheng Siong Chin, Simon See → Group-Personalized Federated Learning for Human Activity Recognition through Cluster Eccentricity Analysis Ahmed Al-Saedi, Veselka Boeva → MiniAnDE: a reduced AnDE ensemble to deal with microarray data Pablo Arenas, José A. Gámez, José M. Puerta → Neural Network Bootstrap Forecast Distributions with Extreme Learning Machines Michele La Rocca, Cira Perna → Subsampled dataset challenges and Machine Learning techniques in Table Tennis Dimitrios Simopoulos, Andreas Nikolakakis, George Anastassopoulos Join Room | Session 44 - AIAI DEEP_LEARNING / TEXT MINING (DEEP TXMN) Chair: Prof. Athanasios Tsadiras → A Deep Learning-based methodology for Detecting and Visualizing Continuous Gravitational Waves Emmanuel Pintelas, Ioannis Livieris, Panagiotis Pintelas → Comparing Machine Learning Techniques for House Price Prediction Konstantinos Panagiotis Fourkiotis, Athanasios Tsadiras → Fake News Detection utilizing textual cues Vasiliki Chouliara, Paraskevas Koukaras, Christos Tjortjis → Forecasting Goal Performance for Top League Football Players: A Comparative Study Nikolaos Giannakoulas, George Papageorgiou, Christos Tjortjis → Improving Supply Chain Management by integrating RFID with IoT Shared Database: Proposing a System Architecture Elena Puica Join Room | 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 | ||
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| 1:15 pm | Closing Ceremomy | |||||||
| 1:30 pm |
Room Keynote - Hybrid
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Session 39 Keynote Speech
Professor Yaochu Jin -
Closing Ceremomy
Room 1 - Hybrid
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Session 40 - AIAI DEEP_LEARNING / ROBOTICS/ SPIKING NN
(DEEP ROBO SPIKE)
Room 2 - Hybrid
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Session 41 - AIAI CLASSIFICATION / EXPLAINABLE AI / ANOMALY DETECTION
(CLASS EXPL ANOM)
Room 3 – Hybrid
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Session 42 - EANN/EAAAI DEEP_LEARNING / SPIKING / IoT
(DEEP SPIKE IoT)
Room 4 – Remote
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Session 36 - EANN/EAAAI DEEP LEARNING (ENERGY / RECOMMENDATION / GRAPHS)
(DEEP ENR RECMN) -
Session 43 - EANN/EAAAI DEEP / FEDERATED ENSEMBLE
(DEEP FED ENSM)
Room 5 – Remote
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Session 37 - AIAI LEARNING / AUTO ENCODERS
(LEAR AUTOEN) -
Session 44 - AIAI DEEP_LEARNING / TEXT MINING
(DEEP TXMN)
Room 6 – Remote
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Session 38 - AIAI DEEP / CYBER_DEFENCE / HEURISTICS / GRAPH NN
(DEEP CYDEF HEU GRNN) -
Session 45 - AIAI AI SOCIAL IMPACT / EXPLAINABLE AI / TEXT MINING ROBOTICS
(SOCI EXPL TXMN ROBO)
No events available!