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ORCID12th SETN 2022: Corfu, Greece
- SETN 2022: 12th Hellenic Conference on Artificial Intelligence, Corfu, Greece, September 7 - 9, 2022. ACM 2022, ISBN 978-1-4503-9597-7
Keynote Speeches
- Antal van den Bosch:
Words matter: Case studies in Cultural AI. 1:1 - Gianluca Bontempi
:
Machine learning for time series: from forecasting to causal inference. 2:1 - Georgios N. Yannakakis:
AI and Games: The Virtuous Cycle. 3:1
Session 1: Biomedical AI
- Vasileios Stavropoulos, Evangelos Michelioudakis, Charilaos Akasiadis, Alexander Artikis:
Resource-effective exploration of tumor treatments with multi-scale simulations. 4:1-4:10 - Michail Chatzianastasis, Giannis Nikolentzos, Michalis Vazirgiannis:
Mass Enhanced Node Embeddings for Drug Repurposing. 5:1-5:5 - Eleni Koutsoni, Vasileios Konstantakos, Anastasios Nentidis, Anastasia Krithara, Georgios Paliouras:
Modeling the off-target effects of CRISPR-Cas9 experiments for the treatment of Duchenne Muscular Dystrophy. 6:1-6:7 - Zoi Lygizou, Dimitris Kalles:
A Biologically Inspired Computational Trust Model based on the Perspective of the Trustee. 7:1-7:10
Session 2: NLP & Text Mining
- Dimitris Papadopoulos, Katerina Metropoulou, Nikolaos Papadakis, Nikolaos F. Matsatsinis:
FarFetched: Entity-centric Reasoning and Claim Validation for the Greek Language based on Textually Represented Environments. 8:1-8:10 - Rizos-Theodoros Chadoulis, Andreas Nikolaou, Constantine Kotropoulos:
Authorship Attribution in Greek Literature Using Word Adjacencies. 9:1-9:9 - Despoina Mouratidis, Eirini Mathe, Yorghos Voutos, Klio Stamou, Katia Lida Kermanidis, Phivos Mylonas, Andreas Kanavos:
Domain-Specific Term Extraction: A Case Study on Greek Maritime Legal Texts. 10:1-10:6 - Spyros Zoupanos, Stratis Kolovos, Athanasios Kanavos, Orestis Papadimitriou, Manolis Maragoudakis:
Efficient comparison of sentence embeddings. 11:1-11:6 - Dimitrios Zaikis, Stylianos Kokkas, Ioannis P. Vlahavas:
Transforming Drug-Drug Interaction Extraction from Biomedical Literature. 12:1-12:8 - Christos Zonios, John Pavlopoulos, Aristidis Likas:
Transformer-Based Music Language Modelling and Transcription. 13:1-13:8
Session 3: Ethics, Social Anthropology and Planning for AI
- Elsa Papadopoulou, Themis P. Exarchos:
An Ethics Impact Assessment (EIA) for AI uses in Health & Care: The correlation of ethics and legal aspects when AI systems are used in health & care contexts. 14:1-14:5 - Alexios Kaponis, Manolis Maragoudakis:
Data Analysis in Digital Marketing using Machine learning and Artificial Intelligence Techniques, Ethical and Legal Dimensions, State of the Art. 15:1-15:9 - Emmanouil Rigas, Charilaos Akasiadis, Elia Vardaki, Georgios Chalkiadakis:
AI and Social Anthropology for Large-Scale Vehicle-to-Grid Schemes. 16:1-16:4 - Dimitrios Chatzis, Ergina Kavallieratou:
Design and Implementation of a Robotic Competition. 17:1-17:5
Session 4: Classification and Prediction
- Nicolas Tsapatsoulis:
Classification of Instagram photos: topic modelling vs transfer learning. 18:1-18:7 - Stratos Xenouleas, Alexia Tsoukara, Giannis Panagiotakis, Ilias Chalkidis, Ion Androutsopoulos:
Realistic Zero-Shot Cross-Lingual Transfer in Legal Topic Classification. 19:1-19:8 - Apostolos Glenis, George A. Vouros:
SCALE-BOSS: A framework for scalable time-series classification using symbolic representations. 20:1-20:9 - Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas:
Altruist: Argumentative Explanations through Local Interpretations of Predictive Models. 21:1-21:10
Session 5: AI and IoT for urban problems
- Eleni Karagianni, Emmanouil Rigas, Nick Bassiliades:
Scheduling Drones to Recharge Electric Vehicles. 22:1-22:4 - Gerasimos Vonitsanos, Theodor Panagiotakopoulos, Andreas Kanavos, Achilles Kameas:
An Apache Spark Framework for IoT-enabled Waste Management in Smart Cities. 23:1-23:7 - Panagiota Masa, Georgios Meditskos, Spyridon Kintzios, Stefanos Vrochidis, Ioannis Kompatsiaris:
Ontology-based Modelling and Reasoning for Forest Fire Emergencies in Resilient Societies. 24:1-24:9 - Emmanouil Salas, Demetre Argialas:
Automatic Identification of Marine Geomorphologic Features Using Convolutional Neural Networks in seafloor Digital Elevation Models: Segmentation of DEM for Marine Geomorphologic Feature Mapping with Deep Learning Algorithms. 25:1-25:8
Session 6: Graph Analysis and Mining, Recommendations, Retrieval and Dimensionality Reduction
- Christos N. Karras, Aristeidis Karras, Georgios Drakopoulos, Konstantinos Tsakalidis, Phivos Mylonas, Spyros Sioutas:
Weighted Reservoir Sampling On Evolving Streams: A Sampling Algorithmic Framework For Stream Event Identification. 26:1-26:9 - Georgios Drakopoulos, Aristeidis Karras, Christos N. Karras, Konstantinos C. Giotopoulos, Phivos Mylonas, Spyros Sioutas:
Decomposing Twitter Graphs Based On Hashtag Trajectories: Mining And Clustering Paths Over MongoDB. 27:1-27:8 - Ioannis Konstantinidis, Manolis Maragoudakis, Ioannis Magnisalis, Christos Berberidis, Vassilios Peristeras:
Knowledge-driven Unsupervised Skills Extraction for Graph-based Talent Matching. 28:1-28:7 - Avraam Bardos, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas:
Local Explanation of Dimensionality Reduction. 29:1-29:9 - Eleni Partalidou, Despina Christou, Grigorios Tsoumakas:
Improving Zero-Shot Entity Retrieval through Effective Dense Representations. 30:1-30:5 - Ioannis Panagiotis Ziogas, Errikos Streviniotis, Harris Papadakis, Georgios Chalkiadakis:
Content-based Recommendations Using Similarity Distance Measures with Application in the Tourism Domain. 31:1-31:10
Session 7: Intelligent Techniques, Learning Analytics and Inference Models
- Andreas Kallinteris, Stavros Orfanoudakis, Georgios Chalkiadakis:
The Performance Impact of Combining Agent Factorization with Different Learning Algorithms for Multiagent Coordination. 32:1-32:10 - Rozita Tsoni, Dimitris Kalles, Vassilios S. Verykios:
A Data Pipeline Approach for Building Learning Analytics Dashboards. 33:1-33:6 - Niki Kiriakidou, Christos Diou:
An evaluation framework for comparing causal inference models. 34:1-34:9 - Evangelos Karampotsis, Konstantinos Boulas, Georgios D. Dounias, Chrissoleon T. Papadopoulos:
Use of Intelligent Techniques for Throughput Estimation of Unreliable two-machine Production Lines with Random Processing Times: Preliminary Results. 35:1-35:10
Session 8: AI for Image Analysis & Classification
- Nikos Kostagiolas, Mihalis Nicolaou, Yannis Panagakis:
Unsupervised Discovery of Semantic Concepts in Satellite Imagery with Style-based Wavelet-driven Generative Models. 36:1-36:9 - Nikolaos Trigkas, Georgios Chalkiadakis:
Coalitions of UAVs for Victims Localization in Post-Avalanche Events using Advanced Image Processing Techniques. 37:1-37:10 - Eugenia Papadaki, Themis P. Exarchos, Panagiotis Vlamos, Aristidis G. Vrahatis:
A Hybrid Deep Learning model for predicting the early Alzheimer's Disease stages using MRI. 38:1-38:6 - Aristotelis Ballas, Christos Diou:
Multi-layer Representation Learning for Robust OOD Image Classification. 39:1-39:4
Session 9: Mixed AI Topics
- Merkouris Papamichail, Constantinos Varsos, Giorgos Flouris:
Implementing the Adaptation Procedure in Misinformation Games. 40:1-40:11 - Charalampos M. Liapis, Sotiris Kotsiantis:
Energy Balance Forecasting: An Extensive Multivariate Regression Models Comparison. 41:1-41:7 - Eleftherios Kouloumpris, Athina Konstantinou, Stamatis Karlos, Grigorios Tsoumakas, Ioannis P. Vlahavas:
Short-term Load Forecasting With Clustered Hybrid Models Based On Hour Granularity. 42:1-42:10 - Antonis Pardos, Melina Tziomaka, Andreas Menychtas, Ilias Maglogiannis:
Automated Posture Analysis for the Assessment of Sports Exercises. 43:1-43:9
Session 10: Human Activity & Speech Recognition
- Iason-Ioannis Panagos, Giorgos Sfikas, Christophoros Nikou:
Compressing Audio Visual Speech Recognition Models With Parameterized Hypercomplex Layers. 44:1-44:7 - Ioannis Vernikos, Dimitrios Koutrintzes, Eirini Mathe, Evaggelos Spyrou, Phivos Mylonas:
Early Fusion of Visual Representations of Skeletal Data for Human Activity Recognition. 45:1-45:5 - Vangjel Kazllarof, Sotiris Kotsiantis:
Human Activity Recognition using Time Series Feature Extraction and Active Learning. 46:1-46:4
Special Session: AI in mobility and logistics - unlocking new green transport capabilities
- Stavros A. Karkanis, Georgia Ayfantopoulou, Afroditi Stamelou, Michalis Fousteris, Andreas Garatziotis, Aleka Zachou:
Development of an electric car sharing system in a tourist area by using data driven tools: The idea of Erica project. 47:1-47:3 - Zisis Maleas, Sofoklis Dais, Georgia Ayfantopoulou, Josep Maria Salanova Grau:
Online policies and multimodal data processing for the same day delivery problem. 48:1-48:3 - Dimitrios Gerekos, Nikolaos Lampiris, Pantelis Kopelias, Athanasios Theofilatos, Stavros A. Karkanis:
Attitudes and perceptions of Greek drivers towards Autonomous and Connected Vehicles. 49:1-49:3 - Athanasia Tsakiri, Nikolaos Lampiris, John Prantalos, Phivos Mylonas, Georgia Ayfantopoulou, Michalis Fousteris:
Versatile Car Sharing Modelling for Sustainable Mobility with Embedded Intelligent Modules. 50:1-50:7
Workshop AI in Natural Sciences and Technology (AINST)
- Dimitris Nasikas, Eleonora Ricci, George Giannakopoulos, Vangelis Karkaletsis, Doros N. Theodorou, Niki Vergadou:
Investigation of Machine Learning-based Coarse-Grained Mapping Schemes for Organic Molecules. 51:1-51:8 - Eleonora Ricci, George Giannakopoulos, Vangelis Karkaletsis, Doros N. Theodorou, Niki Vergadou:
Developing Machine-Learned Potentials for Coarse-Grained Molecular Simulations: Challenges and Pitfalls. 52:1-52:6 - Vasilis Sioros, George Giannakopoulos, Vassilios Constantoudis:
Generating Realistic Nanorough Surfaces Using an N-Gram-Graph Augmented Deep Convolutional Generative Adversarial Network. 53:1-53:10 - Evgenios Vlachos, Aris Salapatas Gkinis, Vasileios Papastergiou, Christos Tsitsipanis, George Giannakopoulos:
Machine Learning to Develop a Model that predicts Early Impending sepsis in Neurosurgical patients. 54:1-54:5 - Vasileios Theiou, Aris Salapatas Gkinis, Athanasios Theofanopoulos, George Giannakopoulos, Christos Tsitsipanis:
Using machine learning to predict mortality and morbidity after Traumatic Brain Injury. 55:1-55:5 - Rediona Kane, Iraklis Varlamis, Mary Yiannakoulia, Nikolaos Skarmeas:
Use of AI methods for handling multi-dimensionality and missing values in biomedical data. 56:1-56:6 - Dimitrios Dimopoulos, Vasiliki Danilatou, Theodoros Kostoulas:
Mortality Prediction in ICU Patients Suffering from Stroke. 57:1-57:5 - Alkiviadis Mertzios, Konstantinos D. Papavasileiou, Loukas D. Peristeras, George Giannakopoulos:
AIggregate: A Machine Learning Approach for Classifying Micelle Shape. 58:1-58:7 - Manolis Chatzigeorgiou, Michalis Vrigkas, Nikos Boukos, Margarita Beazi-Katsioti, Marios Katsiotis, Vassilios Constantoudis:
Machine Learning evaluation of microscopy image segmentation methods: The case of Gaussian Mixture Models. 59:1-59:4 - Alexandros Troupiotis-Kapeliaris, Giannis Spiliopoulos, Marios Vodas, Dimitrios Zissis:
Navigating through dense waters: a toolbox for creating maritime density maps. 60:1-60:4 - Konstantinos Papastamatiou, Filippos Sofos, Theodoros E. Karakasidis:
Calculating material properties with purely data-driven methods: From clusters to symbolic expressions. 61:1-61:9
Workshop AI4Fashion
- Anastasios Papazoglou-Chalikias, Elias Kouslis, Orestis Sarakatsanos, Andromachi Boikou, Stefanos-Iordanis Papadopoulos, Christos Koutlis, Symeon Papadopoulos, Spiros Nikolopoulos, Ioannis Kompatsiaris, David Gavilan, Dongjoe Shin, Yu Chen, Axl François, Michaela Jauk, Jamie Sutherland:
Novel Paradigms of Human-Fashion Interaction. 62:1-62:11 - Evangelia Kampakaki, Evridiki Papachristou, Theodore Tarnanidis, Nikolaos Bilalis:
What are the most important digital qualifications of the employees in the clothing and fashion companies? 63:1-63:7 - Michail Kaseris, Apostolos Boumpakis, Paschalis Charalampous, Ioannis Kostavelis, Sotiris Malassiotis, Dimitrios Tzovaras:
i-Mannequin: A complete solution for Rapid Garment Prototyping. 64:1-64:8 - Fatma Baytar, Yoon Yang, Mona Maher:
The Importance of Deciphering Tacit Knowledge in Apparel Product Development for Explainable AI: Proposed steps for increasing digitalization in the apparel industry. 65:1-65:5
Tutorials
- Michael Sioutis, Zhiguo Long:
Hybrid AI Systems Grounded on Qualitative Spatio-Temporal Reasoning. 66:1 - George A. Vouros:
Tutorial on Explainable Deep Reinforcement Learning: One framework, three paradigms and many challenges. 67:1
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