default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID13th SETN 2024: Piraeus, Greece
- Proceedings of the 13th Hellenic Conference on Artificial Intelligence, SETN 2024, Piraeus, Greece, September 11-13, 2024. ACM 2024, ISBN 979-8-4007-0982-1
Session S1: Machine Learning and Deep Learning
- Maria Liatsikou
, Sofia Yfantidou, Athena Vakali:
Assessing Bias in Self-supervised and Supervised Models for Temporal Data. 1:1-1:7 - Flora Sakketou, Nicholas Ampazis:
A Computationally Efficient Second Order Deep Learning Training Algorithm with Adaptive Momentum. 2:1-2:6 - Panagiota Moraiti, Lazaros T. Tsochatzidis, Ilias Papadeas, Ioannis Pratikakis:
Mean Teacher with Stochastic Restoration and Contrastive Learning for Domain Adaptive Object Detection. 3:1-3:7 - Nikolaos Astras, Dimitrios Vogiatzis:
Prediction of Drug-Drug Interactions with Zero-Shot Learning. 4:1-4:8 - Georgios Liapis, Anna Vordou, Ioannis P. Vlahavas:
Machine Learning Methods for Emulating Personality Traits in a Gamified Environment. 5:1-5:8 - Aristotelis Ballas, Christos Diou:
CycleMix: Mixing Source Domains for Domain Generalization in Style-Dependent Data. 6:1-6:4
Session S2: Optimization and Search
- Panteleimon Iosif, Nikolaos Ploskas, Kostas Stergiou:
A Heuristic Constraint Programming Approach to the p-median Problem with Distance Constraints. 7:1-7:10 - Manousos Linardakis, Iraklis Varlamis, Georgios Th. Papadopoulos:
Multi-robot maze exploration using an efficient cost-utility method. 8:1-8:11 - Nikolaos Papahristou:
Constructing effective match strategies for the game of Tavli. 9:1-9:8 - George Paterakis, Giorgos Borboudakis, Konstantinos Paraschakis, Paulos Charonyktakis, Ioannis Tsamardinos:
CLBO: Conditional Local Bayesian Optimization for Automated Machine Learning. 10:1-10:5 - Gaëtan Serré, Perceval Beja-Battais, Sophia Chirrane, Argyris Kalogeratos, Nicolas Vayatis:
LIPO+: Frugal Global Optimization for Lipschitz Functions. 11:1-11:6
Session S3: Data Driven and Knowledge Based Methods
- Vasileios Balafas, Dimosthenis C. Tsouros, Nikolaos Ploskas, Kostas Stergiou:
The Impact of Solution Diversity on Passive Constraint Acquisition. 12:1-12:10 - Eleftherios Kofidis:
Tensor-based Trajectory Data Mining: A Block-Term Decomposition Approach. 13:1-13:9 - Charilaos Akasiadis, Anastasios Nentidis, Angelos Charalambidis, Alexander Artikis:
Detecting and Fixing Inconsistency of Large Knowledge Graphs. 14:1-14:8 - Konstantinos Malliaridis, Stefanos Ougiaroglou, Dimitris A. Dervos, Charalampos Bratsas, Antonis Sidiropoulos, Konstantinos I. Diamantaras:
Automatic Dataset Type Recognition for Association Rule Mining. 15:1-15:8 - Nikolaos Kornelakis, Aristidis Likas:
The Inclusion Criterion for Data Clustering Quality. 16:1-16:4
Session S4: NLP and LLMS
- Nikolaos Giarelis, Charalampos Mastrokostas, Nikos I. Karacapilidis:
Greek Wikipedia: A Study on Abstractive Summarization. 17:1-17:11 - Vasileios Saketos, Despina-Athanasia Pantazi, Manolis Koubarakis:
The Large Language Model GreekLegalRoBERTa. 18:1-18:7 - Evangelia Gkritzali, Panagiotis Kaliosis, Sofia Galanaki, Elisavet Palogiannidi, Theodoros Giannakopoulos:
Greek2MathTex: A Greek Speech-to-Text Framework for LaTeX Equations Generation. 19:1-19:4
Session S5: AI Applications I
- Afroditi Fouka, Alexandros Bousdekis, Katerina Lepenioti, Gregoris Mentzas:
State of Charge Prediction of EV Li-ion Batteries with Machine Learning: A Comparative Analysis. 20:1-20:7 - Anastasios Biblias, Emmanouil Rigas, Nick Bassiliades:
Monitoring Ships' Emissions Using Unmanned Aerial Vehicles. 21:1-21:6 - Vasileios Kochliaridis, Evaggelos Kostinoudis, Ioannis P. Vlahavas:
Optimizing Pretrained Transformers for Autonomous Driving. 22:1-22:9 - Theodore Tranos, Piyabhum Chaysri, Christos Spatharis, Konstantinos Blekas:
An Advanced Deep Reinforcement Learning Framework for Docking Unmanned Surface Vessels in Variable Environmental Conditions and Amid Moving Ships. 23:1-23:10 - Maria Trigka, Elias Dritsas, Phivos Mylonas:
Driver Sleepiness Detection Using Machine Learning Models on EEG Data. 24:1-24:4
Session S6: Ethics, Trust and Reliability
- Evangelia Anagnostopoulou, Nikolaos Antonios Grammatikos, Dimitris Apostolou, Gregoris Mentzas:
Trustworthy AI in education: A Roadmap for Ethical and Effective Implementation. 25:1-25:7 - Irina E. Nicolae, Gabriel Danciu, Christina Nanou, Nikolaos Koulierakis, Vasiliki Danilatou:
Transparency Metrics for Artificial Intelligence-Driven Applications in Healthcare. 26:1-26:8 - Dionysios Sklavenitis, Dimitris Kalles:
Measuring Technical Debt in AI-Based Competition Platforms. 27:1-27:10 - Stavros Vassos, Stratos Goudelis, Dimi Balaouras, Giannis Vitalis, Vasilis Nakos, Glykeria Pigka, Loukia Tsagkli, Menia Hatzikou, Zachos Tsionas, Alexandros Chasanis, Stan van de Burgt, Mark Pors, Stratos Papadoudis, Lefteris Loukas:
Now I know! Empowering Voters with RAG-enabled LLMs to Eliminate Political Uncertainty. 28:1-28:7 - Zoi Lygizou, Dimitris Kalles:
A biologically inspired computational trust model for open multi-agent systems which is resilient to trustor population changes. 29:1-29:9 - Stasinos Konstantopoulos:
On the Reliability of Artificial Intelligence Systems. 30:1-30:4
Session S7: AI Applications II
- Dimitrios Dimopoulos, Vasiliki Danilatou, Theodoros Kostoulas:
Length of Stay & Mortality Prediction for Patients Suffering from Stroke in ICU: A Multimodal Approach. 31:1-31:8 - Theocharis Ampas, Ioannis Refanidis:
Leveraging deep learning methods to enhance hydrological predictions and model interpretability. 32:1-32:6 - Christos Korgialas, Constantine Kotropoulos:
A Robust RELAX-Based Algorithm for Enhanced Electric Network Frequency Estimation. 33:1-33:6 - Georgios Tsakiris, Nikolaos Virtsionis Gkalinikis, Stavros Mischos, Dimitrios Vrakas:
Unsupervised machine learning techniques for energy consumption tariff design. 34:1-34:10 - Theodoros Zafeiriou, Dimitris Kalles:
Off-the-Shelf Neural Network Architectures for Forex Time Series Prediction come at a Cost. 35:1-35:7 - Gregory Davrazos, George Raftopoulos, Georgios Kostopoulos, Sotiris Kotsiantis:
Optimizing Service Efficiency: Incoming Call Forecasting Utilizing Smart City Open Data - A Case Study. 36:1-36:4 - Nefeli Sofia Georgaki, Alexandros Tzanetos, Evangelos Karampotsis, Georgios Dounias:
Wavelet entropy methods to enhance Machine Learning models in fault diagnosis of motor bearing. 37:1-37:5
Workshop AI Driven Graph Construction
- Ioannis Kivrakidis, Emmanouil Rigas, Nick Bassiliades:
Towards Enriching the Electric Vehicle Knowledge Graph by Linking it to DBpedia. 38:1-38:4 - Konstantinos Dimitropoulos, Ioannis Hatzilygeroudis:
An Ontology-Knowledge Graph Based Context Representation Scheme for Robotic Problems. 39:1-39:7 - Irene Kilanioti, George Angelos Papadopoulos:
AI-based knowledge graph construction and distributed storage for collaboration on the Sustainable Development Goals. 40:1-40:6 - Marios Iacovou, Stelios Kontogiannis, Konstantinos Avgerinakis:
Ontology Data Insights and Alerts for Wildfire Protection. 41:1-41:6 - Maria Papoutsoglou, Georgios Meditskos, Nick Bassiliades, Efstratios Kontopoulos, Stefanos Vrochidis:
Mapping the Current Status of CTI Knowledge Graphs through a Bibliometric Analysis. 42:1-42:6
Workshop AI in Natural Sciences and Technology
- Dimitrios-Paraskevas Gerakinis, Eleonora Ricci, George Giannakopoulos, Vangelis Karkaletsis, Doros N. Theodorou, Niki Vergadou:
Molecular Simulation of Coarse-grained Systems using Machine Learning. 43:1-43:6 - Alex Kondi, Efi-Maria Papia, Vassilios Constantoudis:
Machine Learning Applications in Nanotechnology Manufacturing: From Etching Accuracy to Deposition Prediction. 44:1-44:6 - Vaia Prassa, Vasilis Tsioulos:
A Mixture Density Network approach in evaluating energy-dependent fission yields. 45:1-45:9 - Spilios Dellis, Eleonora Ricci, Dimitrios-Paraskevas Gerakinis, Niki Vergadou, George Giannakopoulos:
Self-Adaptive Optimization of Coefficients in Multi-Objective Loss Functions. 46:1-46:9 - Filippos Sofos, George Sofiadis, Antonios Liakopoulos:
Refining Flow Structures with Deep Learning and Super Resolution Methods. 47:1-47:6 - Efi-Maria Papia, Alex Kondi, Vassilios Constantoudis:
Inverse design of Hexagonal Moiré Materials: Machine Learning for tunable pore properties. 48:1-48:6 - Dimitrios Kelesis, Eirini Spyropoulou, Elias Zavitsanos:
TransChem: Effective Pre-training Enhances Molecular Property Prediction. 49:1-49:8 - Petros Kafkas, George Giannakopoulos, Christoforos Rekatsinas:
Solving Linear Elasticity Problems using Physics-Informed Neural Networks. 50:1-50:8 - Natalia Koliou, Tatiana Boura, Stasinos Konstantopoulos, Georgios Meramveliotakis, George Kosmadakis:
Comparing Prior and Learned Time Representations in Transformer Models of Timeseries. 51:1-51:9 - Ioannis B. Theocharis, Panagiotis Krokidas, Vassilis Gkatsis, George Giannakopoulos:
Multi-fidelity Bayesian Optimization for Efficiently Sampling the Design Space of Functionalized Nanoporous Materials. 52:1-52:4 - Dimitra-Danai Varsou, Andreas Tsoumanis, Panagiotis D. Kolokathis, Dimitris G. Mintis, Konstantinos D. Papavasileiou, Nikolaos K. Sidiropoulos, Georgia Melagraki, Antreas Afantitis:
Enalos Cloud Platform: A User-Oriented Approach to Cheminformatics and Advanced Materials Informatics. 53:1-53:4 - Efi-Maria Papia, Alex Kondi, Vassilios Constantoudis:
Use case of Symbolic Regression in Moiré patterns using simulated data. 54:1-54:3 - Ioannis Michos, Kyriacos Neocleous, Vicky Papadopoulou Lesta:
Critical Node Detection in Sparse Graphs using Hopfield Neural Networks. 55:1-55:4
Workshop Responsible AI
- Christos Fragkathoulas, Odysseas Spyridon Chlapanis:
Local Explanations and Self-Explanations for Assessing Faithfulness in black-box LLMs. 56:1-56:5 - Kostas Karpouzis:
Artificial Intelligence in Education: Ethical Considerations and Insights from Ancient Greek Philosophy. 57:1-57:7 - Andrea Palumbo:
In pursuit of effective fundamental rights protection in the age of AI: exploring the potential of positive obligations. 58:1-58:5
Workshop AI4Fashion
- Amalia Drakou, Evridiki Papachristou, Theodore Tarnanidis, Nikolaos Bilalis:
Transforming Fashion Education: The Impact of AI-Driven 3D Design on Learning, Creativity, and Sustainability. 59:1-59:6 - Mona Maher, Fatma Baytar:
Predicting 3D garment fit in digital product development: Selecting input variables. 60:1-60:5 - Georgia Argyrou, Angeliki Dimitriou, Maria Lymperaiou, Giorgos Filandrianos, Giorgos Stamou:
Prompt2Fashion: An automatically generated fashion dataset. 61:1-61:6
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-12-04 01:25 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
