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Schedule

Day 1: Wednesday 9 September 2026

TimeSessionLocation
08:30 – 09:30Registration[Registration Desk / Foyer]
09:30 – 11:00Day 1 – Morning Session 1 {2 parallel sessions}

Tutorial 1 (Part A): AI for Natural Sciences and Engineering
Tutors: George Giannakopoulos, Aris Kosmopoulos

Tutorial 2 (Part A): Quantum Machine Learning with QML Arena
Tutors: Nikolaos Schetakis, Napoleon Papoutsakis, Aliki D. Muratidou
 		Tutorial 1: [Room A]

Workshop: [Room B]
11:00 – 11:30Coffee Break
11:30 – 13:00Day 1 – Morning Session 2 {2 parallel sessions}

Tutorial 1 (Part B): AI for Natural Sciences and Engineering
Tutors: George Giannakopoulos, Aris Kosmopoulos

Tutorial 2 (Part B): Quantum Machine Learning with QML Arena
Tutors: Nikolaos Schetakis, Napoleon Papoutsakis, Aliki D. Muratidou
 		Tutorial 1: [Room A]

Workshop: [Room B]
13:00 – 14:00Lunch Break
14:00 – 15:30Day 1 – Afternoon Session 1 {2 parallel sessions}

Tutorial 3 (Part A): AI Ethics and the Logical Foundations of AI
Tutor: Antonis Kakas

Workshop (Part A): Knowledge Graph Construction
Chair: Maria Papoutsoglou
 		Tutorial 2: [Room A]

Tutorial 3: [Room B]
15:30 – 16:00Coffee Break
16:00 – 17:00Day 1 – Afternoon Session 2 {2 parallel sessions}

Tutorial 3 (Part B): AI Ethics and the Logical Foundations of AI
Tutor: Antonis Kakas

Workshop (Part B): Knowledge Graph Construction
Chair: Maria Papoutsoglou
 		Tutorial 2: [Room A]

Tutorial 3: [Room B]
17:00 – 18:30Robots Exhibition
Open to the public
[Exhibition Title / Theme]		[Exhibition Hall / Area]
19:00 – 21:00SETN-2026 Welcome Reception"Istioploikos Omilos Chanion"
16th-c. "Neorio Moro" Venetian Shipyard

Day 2: Thursday 10 September 2026

TimeSessionLocation
08:00 – 08:30Registration[Registration Desk / Foyer]
08:30 – 09:00Conference Opening and Welcomes {Plenary}[Main Hall]
09:00 – 10:00Day 2 – Keynote Talk #1 {Plenary}
Good machines must be able to say no - towards normative governance for AI agents
Speaker: Marija Slavkovik
 		[Main Hall]
10:00 – 11:00Day 2 – Regular Papers Sessions 2.1 & 2.2 {2 parallel sessions}

Session 2.1: Machine Learning I
Chair: [Chair Name]
• [32] SPRUCE: SParse Realistic Uncoupled Counterfactual Explanations in Medical Imaging (Ioannis Litsos, Jason Liartis, Paraskevi-Antonia Theofilou, Nikolaos Spanos, Paraskevi Tzouveli and Athanasios Voulodimos)
• [42] Bias Correction under Missing Forcings for Mediterranean Wave Reanalysis using Deep Learning (Ioannis Gkinis, Elisavet Palogiannidi, Charikleia Oikonomou and Gerasimos Korres)
• [50] CausalPype: A Pipeline Framework for Causal Analysis with Structural Causal Models (Panagiotis Alimisis and Christos Diou)

Session 2.2: Natural Language Processing I
Chair: [Chair Name]
• [60] Beyond Parameter Count: Selecting Compact Language Models for Retrieval-Augmented Generation (Alexandros Papafragkakis and Yannis Tzitzikas)
• [73] Can Small Models Have Big Impact? Efficient Greek Clinical Text De-identification via Synthetic Augmentation (Vanessa Lislevand, Kostas Stamatis, Juli Bakagianni, Vasiliki Kougia, Kalliopi V. Dalakleidi and John Pavlopoulos)
• [75] slang.gr as a Large-Scale Crowdsourced Resource for Non-Standard Greek (Panagiotis Papadakos, Katerina Papantoniou and Dimitris Plexousakis)
 		2.1: [Room A]

2.2: [Room B]
11:00 – 11:40Coffee Break
11:40 – 13:00Day 2 – Regular Papers Sessions 2.3 & 2.4 {2 parallel sessions}

Session 2.3: Machine Learning II
Chair: [Chair Name]
• [51] Enhanced Feature Attribution Explanations in Fuzzy Cognitive Maps through Integrated Gradients (Marios Tyrovolas, Georgios Mermigkis, Dimitris Metaxakis, Argiris Sofotasios, Panagiotis Hadjidoukas and Chrysostomos Stylios)
• [65] Causal Learning with Neural Assemblies (Evangelia Kopadi and Dimitris Kalles)
• [74] When Better Models Are Not Enough: Data-Centric Limits of Machine Learning for Ball-Screw Error Compensation (Javier Villoria-Ugidos, Iván Sánchez-Calleja, Alberto Maartinez Gutiérrez, Rubén Ferrero Guillén, Hilde Perez and Javier Díez-González)
• [80] SAVGO: Learning State-Action Value Geometry with Cosine Similarity for Continuous Control (Stavros Orfanoudakis and Pedro P. Vergara)

Session 2.4: Natural Language Processing II
Chair: [Chair Name]
• [40] Edge-Capable Open-Weight LLMs in Modern Greek NLP: A Reproducible Benchmark (John Pavlopoulos and Juli Bakagianni)
• [41] Granular Embedding Selection for Legal Named Entity Recognition (Alex Kaiserlis, Panos Petropoulos and Efstathios Stamatatos)
• [49] Automated Encoding of Greek Legislation in JSON: Leveraging RAG and LLM for Legal Question Answering (Nikoletta Fotopoulou and Ioannis Refanidis)
• [59] ForeStart-LLM: Structured and Personalized Business Plan Assessment Using Large Language Models (Dimitrios Kleitsas, Eleftherios Kouloumbris, Dimitrios Zaikis and Ioannis Vlachavas)
 		2.3: [Room A]

2.4: [Room B]
13:00 – 14:00EETN Dissertation Awards Session {Plenary}[Main Hall]
14:00 – 15:00Lunch Break
15:00 – 16:00Day 2 – Keynote Talk #2 {Plenary}
Rationalizing the Observable Risky Choices of Agents
Speaker: Mary-Anne Williams
 		[Main Hall]
16:00 – 16:45New EETN Honorary Members Presentation {Plenary}[Main Hall]
16:45 – 17:15Day 2 – Nectar Papers Session {Plenary}
• [13] The More, the Merrier: Contrastive Fusion for Higher-Order Multimodal Alignment (Stefanos Koutoupis, Michaela Areti Zervou, Konstantinos Kontras, Maarten De Vos, Panagiotis Tsakalides and Grigorios Tsagkatakis)
• [92] From Pretraining to Robustness: Benchmarking SSL Models for Noise-Robust Speech Emotion Recognition (Sofia Eleftheriou, Theodoros Giannakopoulos, Themos Stafylakis and Ion Androutsopoulos)
 		[Main Hall]
17:15 – 17:40Coffee Break

17:40 – 18:00

18:00 – 19:00

Day 2 – Poster Flash Presentations {Plenary}

Day 2 – Posters Session 1 {Plenary}
• [21] GLOBe: A Modular Global Optimization library (Gaëtan Serré, Argyris Kalogeratos and Nicolas Vayatis)
• [27] Learning General-Purpose Trajectory Segment Embeddings via Contrastive Learning (Elisavet Palogiannidi, Stasinos Konstantopoulos and Anastasia Krithara)
• [28] Multi-Task Reinforcement Learning via Adaptive Routing of Shared Modular Latent Experts (Theodore Tranos and Konstantinos Blekas)
• [64] State-Aware Reasoning for Explaining Contradictory Agronomic Evidence with Multiform Outputs (Vassilios Diakoloukas, Yiorgos Fragkogiannis and Olympia Ageli)
• [66] VEAA: An Agentic Multimodal Pipeline for Plant Disease Diagnosis and Treatment (Yiorgos Fragkogiannis and Vasileios Diakoloukas)
• [67] Data Labs as the Operational Data Front-End of AI Factories: Architecture, Governance, and a Federated Blueprint (Konstantinos Liakos, Konstantinos Stamatakis and Denia Kanellopoulou)
• [81] A Comparative Evaluation of Embeddings and LLMs in a Greek Book Publisher Setting – The CUP Dataset (Katerina Papantoniou, Panagiotis Papadakos, Theodore Patkos, Dimitris Garefalakis, Nikos Vardakis and Dimitris Plexousakis)
• [84] Towards Cross-Lingual Argument Scheme Classification (Elfia Bezou Vrakatseli)
• [89] Learning Surrogate Models for Wireless Channel Descriptors from Low-Dimensional Spatial Features (Maria Trigka, Elias Dritsas and Phivos Mylonas)
 

[Main Hall]

[Poster Area]

19:00 – 19:30Guided Tour: "Memory of Cavafy VI" Art ExhibitionConference Venue
20:30 – 23:30SETN-2026 Conference Dinner
Includes Best Paper Awards announcements		[Dinner Venue]

Day 3: Friday 11 September 2026

TimeSessionLocation
08:30 – 09:00Registration[Registration Desk / Foyer]
09:00 – 10:00Day 3 – Keynote Talk #3 {Plenary}
Visual AI for Perceiving and Interpreting Human Presence
Speaker: Antonis Argyros
 		[Main Hall]
10:00 – 11:15Day 3 – Industry Track {Plenary}

• GlossAPI Presentation, Open Technologies Alliance (GFOSS)
• The Practical Side of AI's Evolution: Impacts on Education, the Economy, and Business, Dimitrios Tsingos (Starttech Ventures, Epignosis, Yodeck)
• Other sponsors
 		[Main Hall]
11:15 – 11:40Coffee Break
11:40 – 13:00Day 3 – Regular Papers Sessions 3.1 & 3.2 {2 parallel sessions}

Session 3.1: Machine Learning III
Chair: [Chair Name]
• [88] Beyond Model-Only Fine-Tuning: Directional Effects of Transferred Momentum (Chrysafis Aggeloudis and Vasileios Sevetlidis)
• [91] Development of a Robot Tutor for Kids (Efstathia-Maria Chatziathanasiou and Michail Lagoudakis)
• [95] A Wasserstein-Augmented Hybrid Matrix Profile for Motif and Discord Discovery (Georgia Tsanta, Themis Palpanas and George Tzagkarakis)
• [87] A Comparative Study of Counterfactual Explainers for Graph Neural Networks Enabling Multiple Types of Graph Edits (Maria Myrto Villia, Filippos Gouidis, Theodore Patkos and Panos Trahanias)

Session 3.2: Knowledge Representation and Reasoning
Chair: [Chair Name]
• [48] On the Use of Large Language Models for Schema Mapping Generation in Ontology-Based Data Integration (Yannis Marketakis, Milio Lintanff-Castel and Yannis Tzitzikas)
• [55] Human-Centric Reflective Architecture for Human-AI Collaborative Decision-Making (Andreas Kouridakis, Dimitrios Patiniotis Spyropoulos and George Vouros)
• [57] Benchmarking Defeasible Reasoning with Large Language Models (Ilias Tachmazidis, Sotiris Batsakis, Grigoris Antoniou, Anthony G. Cohn, Vasileios Routsis, Antonis Bikakis and Maria-Esther Vidal)
• [58] LLM-guided Event Calculus Specification Generation (Evangelia Ragkousi, Spyros Strakosia, Andreas Kouvaras and Alexander Artikis)
 		3.1: [Room A]

3.2: [Room B]
13:00 – 14:00Day 3 – Keynote Talk #4 {Plenary}
AI for mental health
Speaker: Grigoris Antoniou
 		[Main Hall]
14:00 – 15:00Lunch Break
15:00 – 16:00Day 3 – Keynote Talk #5 {Plenary}
Scale Matters, but is it that all? Looking back and looking ahead
Speaker: George Vouros
 		[Main Hall]
16:00 – 17:00Day 3 – Regular Papers Sessions 3.3 & 3.4 {2 parallel sessions}

Session 3.3: AI Applications
Chair: [Chair Name]
• [36] Comparative Study of NSGA-II and NSGA-III with Surrogate Models for Many-Objective Injection Molding Optimization (Jesús Pérez-González, Iván Sánchez-Calleja, Javier Villoria-Ugidos, Rubén Ferrero Guillén, Alberto Martínez-Gutiérrez and Javier Díez-González)
• [96] When Does Conformalization Help? A Cross-Paradigm Analysis of Probabilistic Electricity Price Forecasting (Christos Tzagkarakis and Rommert Dekker)
• [33] DrDino: Text-Guided Region Localization and Segmentation for 2D Medical Imaging (DrDino: Text-Guided Region Localization and Segmentation for 2D Medical Imaging)

Session 3.4: Natural Language Processing III
Chair: [Chair Name]
• [76] It's not the Language Model, it's the Tool: Deterministic Mediation for Scientific Workflows (Marios Adamidis, Danae Katrisioti, Yannis Tzitzikas and Emmanuel Stratakis)
• [93] Not All References Resolve Alike: A Mechanism for Granular Assessment of Complementary Cross-modal Reference Resolution (Lefteris Kapernaros and Katerina Pastra)
• [94] Grounding Greek Legal AI: Evaluating RAG Faithfulness and Retrieval Strategies (Marios Koniaris, Nikos Karakostas and Panayiotis Tsanakas)
 		4.1: [Room A]

4.2: [Room B]
17:00 – 17:30Coffee Break
17:30 – 18:30Day 3 – Posters Session 2 {Plenary}
• [21] GLOBe: A Modular Global Optimization library (Gaëtan Serré, Argyris Kalogeratos and Nicolas Vayatis)
• [27] Learning General-Purpose Trajectory Segment Embeddings via Contrastive Learning (Elisavet Palogiannidi, Stasinos Konstantopoulos and Anastasia Krithara)
• [28] Multi-Task Reinforcement Learning via Adaptive Routing of Shared Modular Latent Experts (Theodore Tranos and Konstantinos Blekas)
• [64] State-Aware Reasoning for Explaining Contradictory Agronomic Evidence with Multiform Outputs (Vassilios Diakoloukas, Yiorgos Fragkogiannis and Olympia Ageli)
• [66] VEAA: An Agentic Multimodal Pipeline for Plant Disease Diagnosis and Treatment (Yiorgos Fragkogiannis and Vasileios Diakoloukas)
• [67] Data Labs as the Operational Data Front-End of AI Factories: Architecture, Governance, and a Federated Blueprint (Konstantinos Liakos, Konstantinos Stamatakis and Denia Kanellopoulou)
• [81] A Comparative Evaluation of Embeddings and LLMs in a Greek Book Publisher Setting – The CUP Dataset (Katerina Papantoniou, Panagiotis Papadakos, Theodore Patkos, Dimitris Garefalakis, Nikos Vardakis and Dimitris Plexousakis)
• [84] Towards Cross-Lingual Argument Scheme Classification (Elfia Bezou Vrakatseli)
• [89] Learning Surrogate Models for Wireless Channel Descriptors from Low-Dimensional Spatial Features (Maria Trigka, Elias Dritsas and Phivos Mylonas)
 		[Poster Area]
18:30 – 19:00EETN Business and SETN-2026 Conference Closing {Plenary}[Main Hall]