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Publications

Displaying results 261 to 270 of 668.

  1. Lala Ray; Bo Zhou; Sungho Suh; Paul Lukowicz

    PresSim: An End-to-end Framework for Dynamic Ground Pressure Profile Generation from Monocular Videos Using Physics-based 3D Simulation

    In: IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). IEEE International Conference on Pervasive Computing and Communications (PerCom-2023), March 13-17, Atlanta, USA, IEEE, 3/2023.

  2. 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.

  3. 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.

  4. 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.

  5. Daniel Hernández-Lobato; Viktoriia Sharmanska; Kristian Kersting; Christoph H. Lampert; Novi Quadrianto

    Mind the Nuisance: Gaussian Process Classification using Privileged Noise

    In: Zoubin Ghahramani; Max Welling; Corinna Cortes; Neil D. Lawrence; Kilian Q. Weinberger (Hrsg.). Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014. Neural Information Processing Systems (NeurIPS-2014), December 8-13, Montreal, Quebec, Canada, Pages 837-845, Curran Associates, Inc. 2014.

  6. Muhammad El-Hindi; Zheguang Zhao; Carsten Binnig

    Towards Decentralized Parameter Servers for Secure Federated Learning

    In: Alfredo Cuzzocrea; Oleg Gusikhin; Wil M. P. van der Aalst; Slimane Hammoudi (Hrsg.). Proceedings of the 11th International Conference on Data Science, Technology and Applications. International Conference on Data Science, Technology and Applications (DATA-2022), July 11-13, Lisbon, Portugal, Pages 257-269, SCITEPRESS, 2022.

  7. Benjamin Hilprecht; Kristian Kersting; Carsten Binnig

    SPARE: A Single-Pass Neural Model for Relational Databases

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2310.13581, Pages 0-10, arXiv, 2023.

  8. Liane Vogel; Carsten Binnig

    WikiDBs: A Corpus of Relational Databases From Wikidata

    In: Rajesh Bordawekar; Cinzia Cappiello; Vasilis Efthymiou; Lisa Ehrlinger; Vijay Gadepally; Sainyam Galhotra; Sandra Geisler; Sven Groppe; Le Gruenwald; Alon Y. Halevy; Hazar Harmouch; Oktie Hassanzadeh; Ihab F. Ilyas; Ernesto Jiménez-Ruiz; Sanjay Krishnan; Tirthankar Lahiri; Guoliang Li; Jiaheng Lu; Wolfgang Mauerer; Umar Farooq Minhas; Felix Naumann; M. Tamer Özsu; El Kindi Rezig; Kavitha Srinivas; Michael Stonebraker; Satyanarayana R. Valluri; Maria-Esther Vidal; Haixun Wang; Jiannan Wang; Yingjun Wu; Xun Xue; Mohamed Zaït; Kai Zeng (Hrsg.). Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023). International Conference on Very Large Data Bases (VLDB), August 28 - September 1, Vancouver, Canada, CEUR Workshop Proceedings, Vol. 3462, CEUR-WS.org, 2023.

  9. Donglin Wang; Anjie Qiu; Qiuheng Zhou; Hans Dieter Schotten

    A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications

    In: Proceedings of the 11th IEEE World Forum on Internet of Things (IoT). IEEE World Forum on Internet of Things (IEEE WFIoT-2025), October 27-30, Chengdu, China, IEEE, 2025.

  10. Julen Urain; Ajay Mandlekar; Yilun Du; Nur Muhammad (Mahi) Shafiullah; Danfei Xu; Katerina Fragkiadaki; Georgia Chalvatzaki; Jan Peters

    A Survey on Deep Generative Models for Robot Learning From Multimodal Demonstrations

    In: IEEE Transactions on Robotics and Automation, Vol. 42, Pages 60-79, ArXiv, 2026.

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