15:00 – 15:15 Joan Salvà Soler & Günther Raidl,
“A Denoising Diffusion-Based Evolutionary Algorithm Framework Demonstrated on the Maximum Independent Set Problem”
15:15 – 15:30 Oscar Araque, Lorenzo Gatti, Sergio Consoli & Kyriaki Kalimeri,
“LML: A Novel Lexicon for the Moral Foundation of Liberty”
15:30 – 15:45 Hugh Adams, Srijoni Majumdar & Evangelos Pournaras,
“Fair Compromises in Participatory Budgeting: a Multi-Agent Deep Reinforcement Learning Approach”
15:45 – 16:00 Reilly Pickard, Finn Wredenhagen, Julio DeJesus & Yuri Lawryshyn,
“Hedging American Put Options with Deep Reinforcement Learning”
16:00 – 16:15 Lorenzo Bertolini, Valentin Comte, Mario Ceresa & Sergio Consoli,
“PreDA: Prefix-Based Dream Reports Annotation with Generative Language Models”
16:15 – 16:30 Lorenz Wendlinger, Christian Braun, Abdullah Al Zubaer, Simon Alexander Nonn, Sarah Großkopf,
Christofer Fellicious & Michael Granitzer,
“On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education”
16:30 – 16:45 Daniel Sikar, Artur D’Avila Garcez & Tillman Weyde,
“Explorations of the Softmax Space: Knowing When the Neural Network Doesn’t Know”
17:20 – 17:35 Felix Grün, Muhammad Saif-Ur-Rehmann, Tobias Glasmachers & Ioannis Iossifidis,
“Invariance to Quantile Selection in Distributional Continuous Control”
17:35 – 17:50 Johannes Varga, Günther Raidl & Tobias Rodemann,
“Learning to Predict User Replies in Interactive Job Scheduling”
17:50 – 18:05 Ketcha Jarod, Carletti Timoteo & Giambagli Lorenzo,
“Convolution Neural Networks in the spectral domain”
18:05 – 18:20 Mert Alagözlü,
“Incremental Learning and Reward Shaping Strategies for Deep Reinforcement Learning upon CVRP”
LOD Oral Presentation Only (No Proceedings)
19:00 – 19:15 Vera Kurkova & Marcello Sanguineti,
“Networks with Finite VC Dimension: Pro and Contra”
19:15 – 19:30 Yavar Taheri Yeganeh, Mohsen A Jafari & Andrea Matta,
“Deep Active Inference Agents for Delayed and Long-Horizon Environments”
19:30 – 19: 45 Hamid Mousavi & Jörg Lücke,
“Linear and Non-linear Generative Models for ‘Zero-Shot’ Image Denoising in the Limit of Few Photons”
LOD Presentations via Zoom
15:50 – 16:05 Maria Tomasso & Apan Qasem,
“Time-Series Analysis of Agent-Based Models: Three Case Studies” – ZOOM
16:05 – 16:20 Vaishnavi Kukkala, Hema Sai Kaja, Sahithi Kantu & Khaled Sayed,
“Brain Tumor Detection Using Xception Network and Machine Learning Classifiers for Resource-Efficient Clinical Implementation” – ZOOM
16:20 – 16:35 Anahit Sargsyan, Hridoy Sankar Dutta & Jürgen Pfeffer,
“Half-life of Youtube News Videos: Diffusion Dynamics and Predictive Factors” – ZOOM
16:35 – 16:50 Vincenzo Miracula, Giovanni Giuffrida, Calogero Zarba & Massimo Brignoli,
“EQUA: An AI-Based Approach for Accessing Eurostat Open Data Through Natural Language Queries” – ZOOM
16:50 – 17:05 Soodeh Habibi, Efthyvoulos Drousiotis, Alessandro Varsi & Simon Maskell,
“Minimum Error Resampling” – ZOOM
17:05 – 17:20 Tarek Salhi & John Woodward,
“ZeroTune 2.0: Enhanced Meta-Parameter Selection and Optuna Integration for Zero-Shot Hyperparameter Optimisation” – ZOOM
17:20 – 17:35 Alex Robertson, Huizhi Liang & Judith Harrison,
“MemoryChat: Leveraging Large Language Models as Conversational Agents to Transform the Cognitive Assessment in Dementia Care”
17:35 – 17:50 Sergio Consoli, Pietro Coletti, Peter Markov, Lia Orfei, Indaco Biazzo, Lea Schuh, Nicolas Stefanovitch, Lorenzo Bertolini, Mario Ceresa & Nikolaos I. Stilianakis,
“Semantic Services for Knowledge Graphs Exploration in Event-Based Epidemic Surveillance”
17:50 – 18:05 Vedat Dogan, Barry O’Sullivan and Steven Prestwich,
“A Risk-Averse Approach for the Leader in Multi-objective Bilevel Optimization”
18:05 – 18:20 Samuel García, Sergio Consoli, Lorenzo Bertolini, Mario Ceresa & Maribel Acosta,
“Assessing Large Language Models Reliability in Relation Extraction: An Analysis on Text Processing and Prompting”
18:20 – 18:35 Ehsan Alyian, José Almeida, Steffen Limmer, Sérgio Ramos & João Soares,
“Adaptive Large Neighborhood Search for Optimal Clustering of Prosumers into Energy Communities”
18:35 – 18:50 Atefeh Gooran Orimi, Tarek El Ouni, Rayen Hamlaoui, Marco Jordine, Chrisitan Backe, Veit Briken & Roland Lachmayer,
“Synthetic Field Data Generation Using Deep Generative Models”
18:50 – 19:05 Simon Hakenes & Tobias Glasmachers,
“Deep Reinforcement Learning Based Navigation with Macro Actions and Topological Maps”
19:05 – 19:20 Hurdson Araujo, Theophile Mounier, Ehsan Aliyan, Sergio Ramos, Hector Quintian Pardo, Ruben Romero & Joao Soares,
“Contracted Power Optimization for Industrial Energy Consumers in Spain”
19:20 – 19:35 Mickael Basson & Philippe Preux,
“Improving Diffusion Models for the Traveling Salesman Problem (TSP) by Leveraging the Structure of the Solution Space”
19:35 – 19:50 Emmanuel Osei-Brefo, Manish Bhardwaj, Huizhy Liang, Yong Zhang, Sharon Scott & Zahid Qayyum,
“KMagent: A Multi-agent Large Language Model-Based Knowledge Management Platform for Product Innovation”
19:50 – 20:05 Valerio Bellandi & Stefano Siccardi,
“From Text to Event Graphs: Exploring NLP and LLM Methods for Event Extraction”
09:00 – 09:15 Carlos Fernández & Stephan Clémençon,
“Anomaly Detection based on Markov Data: A Statistical Depth Approach”
09:15 – 09:30 Laurenz Tomandl, Maria Bresich, Günther Raidl, Yi Mei, Steffen Limmer & Tobias Rodemann,
“A Reinforcement Learning Guided Large Neighborhood Search for the Dynamic Electric Autonomous Dial-a-Ride Problem”
09:30 – 09:45 Linus Ekstrøm, Takafumi Hosogi, Xavier Bonet-Monroig, Hao Wang, Sebastian Schmitt & Thomas Bäck,
“Improving Quantum Multi-Objective Optimization with Archiving and Substitution”
09:45 – 10:00 Akasha-Leonie Kessel, Sven Groppe, Dominik Röpert & Jinghua Groppe,
“AI-Supported Analysis and Classification of Digitized Botanical Collections”
10:00 – 10:15 T.Y. Emmy Lai, Héctor Allende-Cid, Sven Giesselbach & Stefan Rüping,
“Towards Multi-Agent Systems in Requirements Engineering: A Proof-of-Concept Study Using Large Language Models”
10:15 – 10:30 Frédéric Dambreville & Sidonie Lefebvre,
“Optimizing Permutation-invariant Criterion with Law-Smooth Cross-Entropy Method: Application to Spectral Band Selection for Anomaly Detection”
10:30 – 10:45 Mahdi Mohammadigohari, Giuseppe Di Fatta, Giuseppe Nicosia & Panos M Pardalos,
“On the Koopman-Based Generalization Bounds for Multi-task Deep Learning”
LOD Presentations via Zoom
10:45 – 11:00 Sally Ismail, Margarita Anastassova, Mehdi Boukallel, Christian Bolzmacher & Mehdi Ammi,
“Leveraging spectrogram-based pre-trained models for cross-dataset speaker-independent dysarthria severity classification” – ZOOM
11:00 – 11:15 Nicholas Malott, Anurag Yadav & Philip Wilsey,
“Incremental Critical Cells for Homology Characterization” – ZOOM
11:15 – 11:30 Efthyvoulos Drousiotis, Soodeh Habibi, Alessandro Varsi, Simon Maskell & Paul Spirakis,
“Hyperparameter Optimization for Bayesian Decision Trees” – ZOOM
11:30 – 11:45 Giacomo Savazzi, Eugenio Lomurno, Cristian Sbrolli, Agnese Chiatti & Matteo Matteucci,
“Neuro-Symbolic Scene Graph Conditioning for Synthetic Image Dataset Generation” – ZOOM
11:45 – 12:00 Vanni Zavarella, Lorenzo Bertolini, Sergio Consoli, Gianni Fenu, Diego Reforgiato Recupero & Alessandro Zani,
“An Interactive Dashboard for Exploring Patient-Reported Drug-Condition Relations” – ZOOM
12:00 – 12:15 Stephan Lehmler, Muhammad Saif-Ur-Rehman, Tobias Glasmachers & Ioannis Iossifidis,
“Distributional properties of ReLU-activations in Artificial Neural Networks that learn by memorization” – ZOOM
12:15 – 12:30 Stephan Clémençon, Florian Lamalle & Anne Sabourin,
“Predictive Learning in Survival Analysis by Empirical Maximization of Harrell’s Concordance Index“ – ZOOM
12:30 – 12:45 Batul Mankada & Sanatan Sukhija,
“TRANSFORM-X: Transfer via Feature Correspondence” – ZOOM
12:45 – 13:00 Jean-David Collard & Erick Stattner,
“Deep Reinforcement Learning for Collaborative Parking Search Optimization” – ZOOM
LOD Presentations via Zoom
15:00 – 15:15 Kexin Zheng, Thomy Phan, Sven Koenig & T. K. Satish Kumar,
“A FastMap-Based Encoder-Decoder Architecture and Its Applications” – ZOOM
15:15 – 15:30 Brian D. Bernhardt, Chiara Marciano & Mario Rosario Guarracino,
“GraphSAGEnES: A Graph Neural Network Designed for Graphs with Low Feature Discriminability” – ZOOM
15:30 – 15:45 Larbi Kharroubi, Hichem Maaref & Vincent Vigneron,
“Automatic Rule-Tuning of a Sugeno FIS using the mini-JEAN Architecture for Inverted Pendulum Control” – ZOOM
15:45 – 16:00 Bhaskar Dhariyal, Heitor Ganzeli, Krzysztof Maslak and Dinesh Wijekoon,
“Real or not? A Practitioner’s Perspective on Unsupervised Multivariate Time Series Anomaly Detection in Cloud Systems” – ZOOM
16:00 – 16:15 Janina Lütke Stockdiek, Britta Grimme, Marie Griesbach & Christian Grimme,
“Out of Order: On the Importance of Word Positions in Explaining Text Classification” – ZOOM
16:15 – 16:30 Gabriele Romano, Selene Perazzini & Giorgio Gnecco,
“Filling gaps in motion capture data: A comparison of three statistical methods” – ZOOM
17:20 – 17:35 Amaury Capmas-Pernet, Christian Musso, Frédéric Dambreville, David-Tomline Michel & Matthieu Valla,
“Physics-informed machine learning for reconstruction of wind turbulence with wind lida”
17:35 – 17:50 Tom Maus, Asma Atamna & Tobias Glasmachers,
“Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments”
17:50 – 18:05 Maria Bresich, Günther Raidl, Caspian Coleman, Pascal Welke & Steffen Limmer,
“Search Space Reduction Through Machine Learning for the Electric Autonomous Dial-A-Ride Problem”
18:05 – 18:20 Emmanuel Charleson Dapaah & Jens Grabowski,
“Empirical Evidence for Data-Centric AI: A Comparative Study of Data Complexity and Hyperparameter Effects”
18:20 – 18:35 Jan Pijálek, Karel Vlk & Ondřej Bojar,
“MEEDAV: A Synchronous Web Viewer for EEG, Eye-Tracking and Speech Data”
18:35 – 18:50 Sahar Qaadan, Yasmin Alhendawy, Abdullah Ahmed, Aiman Alshare, Alexander Popp & Benedikt Schmuelling,
“Interpretable PINNs for SOH Estimation in LFP Batteries”
18:50 – 19:05 Aline Xavier Fidêncio, Felix Grün, Christian Klaes & Ioannis Iossifidis,
“Performance boundaries for brain-computer interfaces using error-related potentials and reinforcement learning”
19:05 – 19:20 Mahdi Mohammadigohari, Giuseppe Di Fatta, Giuseppe Nicosia & Panos M Pardalos,
“Operator-Based Generalization Bound for Deep Learning: Insights on Multi-Task Learning with Norm Constrained”
