Publications

Sungho Suh; Vitor Fortes Rey; Paul Lukowicz

TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE Distillation

In: Knowledge-Based Systems (KBS), Vol. 260, Page 110143, Elsevier, 1/2023.

Nicolò Parmiggiani; Andrea Bulgarelli; Alessandro Ursi; Antonio Macaluso; Ambra Di Piano; Valentina Fioretti; Alessio Aboudan; Leonardo Baroncelli; Antonio Addis; Marco Tavani; Carlotta Pittori

A Deep-learning Anomaly-detection Method to Identify Gamma-Ray Bursts in the Ratemeters of the AGILE Anticoincidence System

In: The Astrophysical Journal (ApJ), Vol. 945, No. 2, Pages 1-12, IOP, 3/2023.

Muhammad Ali Chattha; Ludger van Elst; Muhammad Imran Malik; Andreas Dengel; Sheraz Ahmed

DeepLSF: Fusing Knowledge and Data for Time Series Forecasting

In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. NA, Page NA, IEEE, 2023.

Ho Minh Duy Nguyen; Hoang Nguyen; Nghiem T. Diep; Tan Pham; Tri Cao; Binh T. Nguyen; Paul Swoboda; Nhat Ho; Shadi Albarqouni; Pengtao Xie; Daniel Sonntag; Mathias Niepert

LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching

In: The Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023). Neural Information Processing Systems (NeurIPS), December 10-16, USA, Advances in Neural Information Processing Systems, 12/2023.

Ahtisham Fazeel Abbasi; Muhammad Nabeel Asim; Johan Trygg; Andreas Dengel; Sheraz Ahmed

Deep Learning Architectures For the Prediction of YY1-Mediated Chromatin Loops

In: Xuan Guo; Serghei Mangul; Murray Patterson; Alexander Zelikovsky (Hrsg.). Bioinformatics Research and Applications, 19th International Symposium, ISBRA 2023, Proceedings. International Symposium on Bioinformatics Research and Applications (ISBRA-2023), October 9-12, Wroclaw, Poland, Pages 72-84, Lecture Notes in Computer Science (LNC), Vol. 14248, ISBN 978-981-99-7073-5, Springer, 2023.

Faiza Mehmood; Rehab Shahzadi; Hina Ghafoor; Muhammad Nabeel Asim; Muhammad Usman Ghani; Waqar Mahmood; Andreas Dengel

EnML: Multi-label Ensemble Learning for Urdu Text Classification

In: ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol. 22, Pages 1-31, ACM, 9/2023.

Adriano Lucieri; Andreas Dengel; Sheraz Ahmed

Translating theory into practice: assessing the privacy implications of concept-based explanations for biomedical AI

In: Juan Guillermo Diaz Ochoa (Hrsg.). Frontiers in Bioinformatics, Vol. 3, Pages 1-19, Frontiers Media SA, 7/2023.

Daniel Geißler; Bo Zhou; Paul Lukowicz

Latent Inspector: An Interactive Tool for Probing Neural Network Behaviors Through Arbitrary Latent Activation

In: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2023), August 19-25, Macao, Macao, ISBN 978-1-956792-03-4, International Joint Conferences on Artificial Intelligence, 2023.

Alejandro Molina; Antonio Vergari; Karl Stelzner; Robert Peharz; Pranav Subramani; Nicola Di Mauro; Pascal Poupart; Kristian Kersting

SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks

In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1901.03704, Pages 0-10, arXiv, 2019.

Robert Peharz; Antonio Vergari; Karl Stelzner; Alejandro Molina; Martin Trapp; Xiaoting Shao; Kristian Kersting; Zoubin Ghahramani

Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning

In: Amir Globerson; Ricardo Silva (Hrsg.). Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence. Conference in Uncertainty in Artificial Intelligence (UAI-2019), July 22-25, Tel Aviv, Israel, Pages 334-344, Proceedings of Machine Learning Research, Vol. 115, AUAI Press, 2019.