default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID28th DS 2025: Ljubljana, Slovenia
- Saso Dzeroski
, Jurica Levatic, Gianvito Pio, Nikola Simidjievski:
Discovery Science - 28th International Conference, DS 2025, Ljubljana, Slovenia, September 23-25, 2025, Proceedings. Lecture Notes in Computer Science 16090, Springer 2025, ISBN 978-3-032-05460-9
Physics-Informed Methods for Science
- Pol Timmer, Koen Minartz, Vlado Menkovski:
Efficient Probabilistic Modeling of Crystallization at Mesoscopic Scale. 3-16 - Diana-Alexandra Onutu, Yue Zhao, Joaquin Vanschoren, Vlado Menkovski:
Score Matching on Large Geometric Graphs for Cosmology Generation. 17-31 - Sabin Roman:
Maximum Entropy Models for Unimodal Time Series: Case Studies of Universe 25 and St. Matthew Island. 32-44
Learning from Complex Data
- Liliana Martirano, Francesco Scala, Carmela Comito, Luigi Pontieri:
Who Drives Misinformation? Key Node Detection with Heterogeneous Graph Neural Networks. 47-62 - Fadwa Idlahcen:
Learning Tree-Structured Distributions. 63-77 - Cristian Cosentino, Merve Gündüz-Cüre, Fabrizio Marozzo, Sule Öztürk-Birim:
From Reviews to Results: Generative AI for Review-Driven Product and Service Comparisons. 78-93
Symbolic Regression for Science
- Jannis Brugger, Viktor Pfanschilling, David Richter, Mira Mezini, Stefan Kramer:
Prompting Neural-Guided Equation Discovery Based on Residuals. 97-112 - Jure Brence, Saso Dzeroski, Ljupco Todorovski:
Bayesian Grammar Refinement for Efficient Equation Discovery. 113-127 - Guus Toussaint, Arno J. Knobbe:
EDC: Equation Discovery for Classification. 128-142 - Martin Percinic, Sebastian Meznar, Ljupco Todorovski, Saso Dzeroski:
A Variational Autoencoder for N-Ary Trees. 143-157
Model Design and Optimization: Symbolic Learning, Decision Trees, and NNs
- Florian Beck, Johannes Fürnkranz, Van Quoc Phuong Huynh:
On the Potential of Deep Symbolic Models for Classification Problems. 161-175 - Kiara Stempel, Mattia Cerrato, Stefan Kramer:
Exploring the Design Space of Fair Tree Learning Algorithms. 176-190 - Artem Lunev, Nikolay O. Nikitin:
Neuron-Level Architecture Search for Efficient Model Design. 191-203
Unsupervised and Semi-Supervised Learning
- Vangjush Komini, Nadezhda Koriakina, Debaditya Roy, Sarunas Girdzijauskas:
Similarity Learning for Spectral Clustering. 207-221 - Georgios Vardakas, Antonia Karra, Evaggelia Pitoura, Aristidis Likas:
Evaluating Clustering Quality in Centroid-Based Clustering Using Counterfactual Distances. 222-236 - Sintija Stevanoska, Katharina Dost, Christian L. Camacho Villalón, Saso Dzeroski:
Selecting Unlabeled Data for Tabular Self-Supervised Learning. 237-251
Explainable AI for Science
- Carlos Soares, Paulo J. Azevedo, Vítor Cerqueira, Luís Torgo:
Meta Subspace Analysis: Understanding Model (Mis)behavior in the Metafeature Space. 255-269 - Antónia Brito, Moisés Santos, Duarte Folgado, Carlos Soares:
tsMIST: Model Sensitivity Analysis with Time Series Morphing. 270-285 - Genghua Dong, Henrik Boström, Roman Bresson, Amr Alkhatib:
Explaining Deep Neural Networks with Example and Pixel Attribution. 286-300 - Matteo Salis, Gabriele Sartor, Marco Pellegrino, Rosa Meo, Stefano Ferraris, Abdourrahmane M. Atto:
Extending Model-Agnostic XAI Methods for Regression Tasks in Spatio-Temporal Domains. 301-315 - Luca Corbucci, Francesca Naretto, Anna Monreale:
Enhancing Local Explanations with GAN-Based Neighborhood Generation. 316-331
Few-Shot Learning, Data Streams
- Tim van Engeland, Lu Yin, Vlado Menkovski:
Aspect-Based Few-Shot Learning. 335-346 - Francesco Scala, Massimo Guarascio, Carlo Parrotta, Luigi Pontieri:
Learning Fast to Detect Slow: A Few-Shot Neural Approach to Slow DoS Attack Detection. 347-362 - Justin Jia Liu, Guilherme Weigert Cassales, Fei Tony Liu, Bernhard Pfahringer, Albert Bifet:
Adaptive Isolation Forest. 363-378 - Maik Büttner, Myra Spiliopoulou:
Investigating Delays of Combined Feature and Label Acquisitions on Data Streams. 379-391
Foundation Models for Science, LLMs
- Ana Gjorgjevikj, Matej Martinc, Gjorgjina Cenikj, Saso Dzeroski, Barbara Korousic-Seljak, Tome Eftimov:
FoodSEM: Large Language Model Specialized in Food Named-Entity Linking. 395-410 - Luca Coda-Giorgio, Giacomo Fidone, Laura Pollacci:
Multi-domain Validation of LLM-Based Simulators via Interpretable and Latent Representations. 411-426 - Joana Santos, Nuno Silva, Carlos Ferreira, João Gama:
Fine-Tuning Transformer-Based LLMs in Hierarchical Text Classification. 427-442
Model Uncertainty, Trustworthy and Human-Centered Explainable AI
- Mustafa Cavus, Jan N. van Rijn, Przemyslaw Biecek:
Beyond the Single-Best Model: Rashomon Partial Dependence Profile for Trustworthy Explanations in AutoML. 445-459 - Diego García-Pérez, Zhendong Wang, José M. Enguita-Gonzalez:
CACTUS: A Context-Aware Framework for Counterfactual Explanations Across Diverse Prediction Domains. 460-475 - Cátia Teixeira, Inês Gomes, Carlos Soares, Jan N. van Rijn:
Hubris Benchmarking with AmbiGANs: Assessing Model Overconfidence with Synthetic Ambiguous Data. 476-491
Reinforcement Learning, Bandit Optimization
- Zhuoyu Cheng, Kohei Hatano, Eiji Takimoto:
Adversarial Bandit Optimization for Approximately Linear Functions. 495-509 - Masaki Hashimoto, Atsuyoshi Nakamura:
A Contextual Bandit Algorithm for Recommending Item Sets with High Sum Diversity. 510-521 - Simone Amirato, Fabrizio Angiulli, Fabio Fassetti:
Explaining Anomalous Data with Reinforcement Learning. 522-536 - Sidahmed Benabderrahmane, Talal Rawhan:
Attackers Strike Back? Not Anymore - An Ensemble of RL Defenders Awakens for APT Detection. 537-552
Machine Learning Applications
- Veronica Buttaro, Giuseppe Lamanna, Donato Massaro, Claudio Basilio Caporusso, Gianvito Pio, Michelangelo Ceci:
A Novel AI Approach for the Diagnosis of Alzheimer's Disease from Multi-modal Incomplete Data. 555-570 - Vanessa Toborek, Florian Seiffarth, Sebastian Müller, Tamás Horváth, Christian Bauckhage:
Exploring Curriculum Learning for Languages: Lessons from Regular Language Tasks. 571-586 - Julio Corona, Rafael Teixeira, Mário Antunes, Rui L. Aguiar:
Exploring Recommendations Attacks Through Blind Optimization. 587-601
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 2025-10-19 21:57 CEST 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:
