An IoT Based Framework For Activity Recognition Using Deep Learning Technique. - Ashwin Geet D'Sa; B. G. Prasad (CoRR, 2019)

Label Propagation-Based Semi-Supervised Learning for Hate Speech Classification. - Ashwin Geet D'Sa; Irina Illina; Dominique Fohr; Dietrich Klakow; Dana Ruiter (Insights, 2020)

Towards Non-Toxic Landscapes: Automatic Toxic Comment Detection Using DNN. - Ashwin Geet D'Sa; Irina Illina; Dominique Fohr (TRAC@LREC, 2020)

HUMAN: Hierarchical Universal Modular ANnotator. - Moritz Wolf; Dana Ruiter; Ashwin Geet D'Sa; Liane Reiners; Jan Alexandersson; Dietrich Klakow (EMNLP (Demos), 2020)

BERT and fastText Embeddings for Automatic Detection of Toxic Speech. - Ashwin Geet D'Sa; Irina Illina; Dominique Fohr (OCTA, 2020)

Exploring Conditional Language Model Based Data Augmentation Approaches for Hate Speech Classification. - Ashwin Geet D'Sa; Irina Illina; Dominique Fohr; Dietrich Klakow; Dana Ruiter (TDS, 2021)

Placing M-Phasis on the Plurality of Hate: A Feature-Based Corpus of Hate Online. - Dana Ruiter; Liane Reiners; Ashwin Geet D'Sa; Thomas Kleinbauer; Dominique Fohr; Irina Illina; Dietrich Klakow; Christian Schemer; Angeliki Monnier (LREC, 2022)

Exploration of Multi-corpus Learning for Hate Speech Classification in Low Resource Scenarios. - Ashwin Geet D'Sa; Irina Illina; Dominique Fohr; Awais Akbar (TSD, 2022)

Expanding the training data for neural network based hate speech classification. (Extension des données de formation pour la classification réseaux neuronaux pour la classification des discours haineux). - Ashwin Geet D'Sa (2022)