Publications

See Google Scholar for full details.
_{* denotes equal contribution}

DATS: Distance-Aware Temperature Scaling for Calibrated Class-Incremental Learning [arxiv]
Giuseppe Serra and Florian Buettner
- 2025, Under review

Federated Continual Learning Goes Online: Uncertainty-Aware Memory Management for Vision Tasks and Beyond [openreview]
Giuseppe Serra and Florian Buettner
- 2025 International Conference on Learning Representations (ICLR)

How to Leverage Predictive Uncertainty Estimates for Reducing Catastrophic Forgetting in Online Continual Learning [openreview]
Giuseppe Serra, Ben Werner, and Florian Buettner
- 2024 Conference on Knowledge Discovery and Data Mining (KDD) Workshop on Uncertainty Reasoning and Quantification in Decision Making
- Transactions of Machine Learning Research (TMLR), 2025

L2XGNN: Learning to Explain Graph Neural Networks [arxiv]
Giuseppe Serra and Mathias Niepert
- 2024 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Journal Track
- Machine Learning, Springer US, 6787-6809, 2024

An Interpretable Alternative to Neural Representation Learning for Rating Prediction-Transparent Latent Class Modeling of User Reviews [arxiv]
Giuseppe Serra, Peter Tiňo, Zhao Xu, and Xin Yao
- 2024 International Joint Conference on Neural Networks (IJCNN)

Improving the Interpretability of Machine Learning Approaches with User-Generated Data [pdf]
Giuseppe Serra
- PhD Thesis, University of Birmingham, 2024

Human-Centric Research for NLP: Towards a Definition and Guiding Questions [arxiv]
Bhushan Kotnis, Kiril Gashteovski, Julia Gastinger, Giuseppe Serra, Francesco Alesiani, Timo Sztyler, Ammar Shaker, Na Gong, Carolin Lawrence, Zhao Xu (random author order)
- 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) Workshop on Bridging Human-Computer Interaction and Natural Language Processing

Interpreting Node Embedding with Text-Labeled Graphs [pdf]
Giuseppe Serra, Zhao Xu, Mathias Niepert, Carolin Lawrence, Peter Tiňo, and Xin Yao
- 2021 International Joint Conference on Neural Networks (IJCNN)

Learning Sparsity of Representations with Discrete Latent Variables [arxiv]
Zhao Xu, Daniel Onoro Rubio, Giuseppe Serra, and Mathias Niepert
- 2021 International Joint Conference on Neural Networks (IJCNN)

Hierarchical Adversarial Training for Multi-Domain Adaptive Sentiment Analysis [Springer]
Zhao Xu, Lorenzo von Ritter, and Giuseppe Serra
- Complex Pattern Mining: New Challenges, Methods and Applications, Springer International Publishing, 17-32, 2020