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ORCID11th LOD 2025: Castiglione della Pescaia, Italy - Part I
- Giuseppe Nicosia
, Varun Ojha, Sven Giesselbach, Panos M. Pardalos, Renato Umeton, Emanuele La Malfa, Gabriele La Malfa:
Machine Learning, Optimization, and Data Science - 11th International Conference, LOD 2025, Castiglione della Pescaia, Italy, September 21-24, 2025, Revised Selected Papers, Part I. Lecture Notes in Computer Science 16467, Springer 2026, ISBN 978-3-032-21476-8 - Joan Salvà Soler, Günther R. Raidl:
A Denoising Diffusion-Based Evolutionary Algorithm Framework: Application to the Maximum Independent Set Problem. 1-16 - Oscar Araque, Lorenzo Gatti, Sergio Consoli, Kyriaki Kalimeri:
LML: A Novel Lexicon for the Moral Foundation of Liberty. 17-31 - Nicholas O. Malott, Anurag Yadav, Philip A. Wilsey:
Incremental Critical Cells for Homology Characterization. 32-49 - Hugh Adams, Srijoni Majumdar, Evangelos Pournaras:
Fair Compromises in Participatory Budgeting: A Multi-Agent Deep Reinforcement Learning Approach. 50-65 - Reilly Pickard, Gordon Finn Wredenhagen, Julio DeJesus, Yuri A. Lawryshyn:
Hedging American Put Options with Deep Reinforcement Learning. 66-79 - Maria Tomasso, Apan Qasem:
Time-Series Analysis of Agent-Based Models: Three Case Studies. 80-94 - Simon Hakenes, Tobias Glasmachers:
Deep Reinforcement Learning Based Navigation with Macro Actions and Topological Maps. 95-108 - Anahit Sargsyan, Hriday Sankar Dutta, Jürgen Pfeffer:
Half-Life of Youtube News Videos: Diffusion Dynamics and Predictive Factors. 109-124 - Tarek Salhi, John R. Woodward:
ZeroTune 2.0: Enhanced Meta-parameter Selection and Optuna Integration for Zero-Shot Hyperparameter Optimisation. 125-144 - Efthyvoulos Drousiotis, Soodeh Habibi, Alessandro Varsi, Simon Maskell, Paul G. Spirakis:
Hyperparameter Optimization for Bayesian Decision Trees. 145-158 - 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. 159-174 - Felix Grün, Muhammad Saif-ur-Rehman, Tobias Glasmachers, Ioannis Iossifidis:
Invariance to Quantile Selection in Distributional Continuous Control. 175-190 - Lorenzo Bertolini, Valentin Comte, Mario Ceresa, Sergio Consoli:
PreDA: Prefix-Based Dream Reports Annotation with Generative Language Models. 191-206 - Vaishnavi Kukkala, Sahithi Kantu, Hema Sai Kaja, Khaled Sayed:
Brain Tumor Detection Using Xception Network and Machine Learning Classifiers for Resource-Efficient Clinical Implementation. 207-221 - Atefeh Gooran Orimi, Tarek El Ouni, Rayen Hamlaoui, Marco Jordine, Chrisitan Backe, Veit Briken, Roland Lachmayer:
Synthetic Field Data Generation Using Deep Generative Models. 222-241 - Soodeh Habibi, Efthyvoulos Drousiotis, Alessandro Varsi, Simon Maskell:
Minimum Error Resampling. 242-254 - Vincenzo Miracula, Giovanni Giuffrida, Calogero G. Zarba, Massimo Brignoli:
EQUA: An AI-Based Approach for Accessing Eurostat Open Data Through Natural Language Queries. 255-270 - Johannes Varga, Günther R. Raidl, Tobias Rodeman:
Learning to Predict User Replies in Interactive Job Scheduling. 271-285 - Vanni Zavarella, Lorenzo Bertolini, Sergio Consoli, Gianni Fenu, Diego Reforgiato Recupero, Alessandro Zani:
An Interactive Dashboard for Exploring Patient-Reported Drug-Condition Relations. 286-296 - Daniel Sikar, Artur d'Avila Garcez, Tillman Weyde:
Explorations of the Softmax Space: Knowing When the Neural Network Doesn't Know. 297-314 - Jarod Ketcha, Lorenzo Giambagli, Duccio Fanelli, Timoteo Carletti:
Convolution Neural Networks in the Spectral Domain. 315-328 - Valerio Bellandi, Stefano Siccardi:
From Text to Event Graphs: Exploring NLP and LLM Methods for Event Extraction. 329-337 - Sergio Consoli, Pietro Coletti, Peter V. 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. 338-349 - Mert Alagözlü:
Incremental Learning and Reward Shaping Strategies for Deep Reinforcement Learning upon CVRP. 350-364 - Batul Mankada, Sanatan Sukhija:
TRANSFORM-X: Transfer via Feature Correspondence. 365-379 - Stéphan Clémençon, Florian Lamalle, Anne Sabourin:
Predictive Learning in Survival Analysis by Empirical Maximization of Harrell's Concordance Index. 380-409 - Stephan Johann Lehmler, Muhammad Saif-ur-Rehman, Tobias Glasmachers, Ioannis Iossifidis:
Distributional Properties of ReLU-Activations in Artificial Neural Networks that Learn by Memorization. 410-423 - Sally Ismail, Margarita Anastassova, Mehdi Boukallel, Christian Bolzmacher, Mehdi Ammi:
Leveraging Spectrogram-Based Pre-trained Models for Cross-Dataset Speaker-Independent Dysarthria Severity Classification. 424-431 - Janina Lütke Stockdiek, Britta Grimme, Marie Griesbach, Christian Grimme:
Out of Order: On the Importance of Word Positions in Explaining Text Classification. 432-447 - Ehsan Aliyan, José Almeida, Steffen Limmer, Sérgio Ramos, João Soares:
Adaptive Large Neighborhood Search for Optimal Clustering of Prosumers into Energy Communities. 448-462
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