List of accepted papers

Explainable Anomaly Detection in Renewable Energy Power Plants by Learning Multidimensional Normality Models
by C. Kleiner     

Statistical Modeling vs. Machine Learning for Deduplication of Customer Records     
by W. Andrzejewski, B. Bebel, P. Boinski, J. Kowalewska, A. Marszalek and R. Wrembel.

Building Foundations for Inclusiveness through Expert-Annotated Data
by M. La Quatra, S. Greco, L. Cagliero, M. Tonti, F. Dragotto, R. Raus, S. Cavagnoli and T. Cerquitelli  

Deep Spatio-Temporal Encoding: Achieving Higher Accuracy by Aligning with External Real-World Data  
by C. Jiang, W. Wang, J. Li, N. Pan and W.-S. Ku. 

Dataversifying Earth Sciences: Pioneering a Data Lake Architecture for Curated Data-Centric Experiments in Life and Earth Sciences  
by G. Vargas-Solar, J. Darmont, J. A. Espinosa-Oviedo, C. Hara, S. Loudcher, R. Motz, A. Adorjan, M. Musicante and J. L. Zechinelli-Martini.

On the extraction of meaningful RNA interactions from Scientific Publications through LLMs and SPIRES
by E. Cavalleri and M. Mesiti.

Examining the Impact of Multi-Objective Recommender Systems on Providers Bias 
by R. Shafiloo and K. Stefanidis.

In time recommendations through an Associative Classifier and LookBackApriori: a case study     
by A. Dalla Vecchia, N. Marastoni and E. Quintarelli.

Online Prediction Threshold Optimization Under Semi-deferred Labelling  
by Y. Spenrath, M. Hassani and B. Van Dongen.

MATILDA: Inclusive Data Science Pipelines Design through Computational Creativity   
by G. Vargas-Solar, S. N. Yankelevich, J. A. Espinosa-Oviedo, K. Belhajjame and J. L. Zechinelli-Martini.

DreamShot: Teaching Cinema Shots to Latent Diffusion Models 
by T. Massaglia, B. Vacchetti and T. Cerquitelli.

Diversity in spatio-textual data objects  
by A. Alamanos and A. Vlachou.

Weak signal detection for occupational safety   
by S. Ghazzai, D. Grigori and R. Rebai.

Extreme Classification of European Union Law Documents driven by Entity Embeddings  
by I. Benedetto, L. Cagliero and F. Tarasconi.

Optimizing Job/Task Granularity for Metagenomic Workflows in Heterogeneous Cluster Infrastructures
by S. Mohammadi, L. Pourkarimi, M. Zschäbitz, T. Aretz, U. Leser, K. Reinert and N. De Mecquenem.      

TLIMB - A Transfer Learning Framework for IMage Analysis of the Brain   
by M.-A. Schulz, J. P. Albrecht, A. Yilmaz, A. Koch, U. Leser, K. Ritter and D. Kainmüller.