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Jahr: 2024
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  1. Parham Zolfaghari; Vitor Fortes Rey; Lala Ray; Hyun Kim; Sungho Suh; Paul Lukowicz

    Sensor Data Augmentation from Skeleton Pose Sequences for Improving Human Activity Recognition

    In: 2024 International Conference on Activity and Behavior Computing (ABC). International Conference on Activity and Behavior Computing (ABC-2024), Pages 1-8, IEEE, 2024.

  2. Hyungmin Kim; Donghun Kim; Pyunghwan Ahn; Sungho Suh; Hansang Cho; Junmo Kim

    ContextMix: A context-aware data augmentation method for industrial visual inspection systems

    In: International Journal Engineering Applications of Artificial Intelligence (EAAI), Vol. 131, Page 107842, Elsevier, 2024.

  3. Davinder Pal Singh; Lala Ray; Bo Zhou; Sungho Suh; Paul Lukowicz

    A Novel Local-Global Feature Fusion Framework for Body-Weight Exercise Recognition with Pressure Mapping Sensors

    In: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). International Conference on Acoustics, Speech and Signal Processing (ICASSP-2024), Pages 6375-6379, IEEE, 2024.

  4. Sungho Suh; Dhruv Aditya Mittal; Hymalai Bello; Bo Zhou; Mayank Shekhar Jha; Paul Lukowicz

    Remaining useful life prediction of Lithium-ion batteries using spatio-temporal multimodal attention networks

    In: Heliyon, Vol. 10, No. 16, Page e36236, CellPress, 2024.

  5. Hassan Soliman; Milos Kravcik; Alexander Tobias Neumann; Yue Yin; Norbert Pengel; Maike Haag

    Scalable Mentoring Support with a Large Language Model Chatbot

    In: Rafael Ferreira Mello; Nikol Rummel; Ioana Jivet; Gerti Pishtari; José A. Ruipérez Valiente (Hrsg.). Technology Enhanced Learning for Inclusive and Equitable Quality Education. European Conference on Technology Enhanced Learning (EC-TEL-2024), 19th European Conference on Technology Enhanced Learning, EC-TEL 2024, September 16-20, Krems, Austria, Pages 260-266, Lecture Notes in Computer Science (LNCS), Vol. 15160, ISBN 978-3-031-72311-7, Springer, Cham, 9/2024.

  6. Hassan Soliman; Milos Kravcik; Alexander Tobias Neumann; Yue Yin; Norbert Pengel; Maike Haag; Heinz-Werner Wollersheim

    Generative KI zur Lernenbegleitung in den Bildungswissenschaften: Implementierung eines LLM-basierten Chatbots im Lehramtsstudium

    In: Sandra Schulz; Natalie Kiesler (Hrsg.). DELFI 2024 Die 22. Fachtagung Bildungstechnologien der Gesellschaft für Informatik e.V. Fachtagung Bildungstechnologien (DELFI-2024), September 9-11, Fulda, Germany, Pages 171-177, Lecture Notes in Informatics (LNI), Vol. P-356, ISBN 978-3-88579-255-0, Köllen Druck+Verlag GmbH, Bonn, 2024.

  7. Veronika Kurchyna; Lilian Kojan; Jan Schneider; Bernd Wurpts; Anastasia Golovin; André Calero Valdez; Jan Ole Berndt; Ingo Timm

    Learned Futility: How Social Learning Can Lead to the Diffusion of Ineffective Strategies

    In: Adela Coman; Simona Vasilache (Hrsg.). Social Computing and Social Media: 16th International Conference, SCSM 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Washington, DC, USA, June 29 - July 4, 2024, Proceedings, Part III. International Conference on Social Computing and Social Media (SCSM-2024), June 29 - July 4, Washington DC, District of Columbia, USA, Pages 120-139, Lecture Notes in Computer Science (LNCS), Vol. 14705, ISBN 978-3-031-61311-1, Springer, 2024.

  8. Veronika Kurchyna; Stephanie Fendrich; Ye Eun Bae; Patrick Mertes; Philipp Flügger; Jan Ole Berndt; Ingo Timm

    Seeing Through the Smoke: An Agent Architecture for Representing Health Protection Motivation Under Social Pressure

    In: Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART. International Conference on Agents and Artificial Intelligence (ICAART-2024), February 24-26, Rome, Italy, Pages 315-325, ISBN 978-989-758-680-4, SciTePress, 2024.

  9. Md Abdul Kadir; Gowthamkrishna Addluri; Daniel Sonntag

    Revealing Vulnerabilities of Neural Networks in Parameter Learning and Defense Against Explanation-Aware Backdoors

    3/2024.

  10. Md Abdul Kadir; Hasan Md Tusfiqur Alam; Devansh Srivastav; Hans-Jürgen Profitlich; Daniel Sonntag

    Partial Image Active Annotation (PIAA): An Efficient Active Learning Technique Using Edge Information in Limited Data Scenarios

    In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Pages 1-12, Springer, 6/2024.

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