Learning from Difficult Data

Beschreibung

This book constitutes the revised selected papers of the first International Workshop on Learning from Difficult Data, LDD 2025, held in Bologna, Italy, during October 25–30, 2025.

The 6 full papers included in this volume were carefully reviewed and selected out of 12 submissions. The papers cover the broad area of building pattern recognition systems for diffcult data analysis. 

Autor*in

Pawel Zyblewski

Themen in »Learning from Difficult Data«

Deep Learning Retinal Fundus Imaging Adversarial training Unlearning Action Detection Sentiment Analysis Small Language Models Multi-View Learning Classifier Ensemble Visual Counting Visual Prompting Representation Learning Self-Supervised Learning Time-series Clustering

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