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Publications

Displaying results 591 to 600 of 6362.

  1. Vijul Shah; Ko Watanabe; Brian Moser; Andreas Dengel

    EyeDentify: A Dataset for Pupil Diameter Estimation based on Webcam Images

    In: IEEE/CVF Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision (WACV-2025), February 28 - March 4, TUCSON, USA, IEEE, 2024.

  2. Noriyuki Tanaka; Ko Watanabe; Shoya Ishimaru; Andreas Dengel; Shingo Ata; Manato Fujimoto

    Concentration Estimation in Online Video Lecture Using Multimodal Sensors

    In: Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pervasive and Ubiquitous Computing (UbiComp Companion '24). International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp-2024), October 5-9, Melbourne, Australia, ISBN 979-8-4007-1058-2/24/10, Association for Computing Machinery, 10/2024.

  3. Brian Moser; Federico Raue; Andreas Dengel

    A Study in Dataset Pruning for Image Super-Resolution

    In: ICANN 2024. International Conference on Artificial Neural Networks (ICANN-2024), Lugano, Switzerland, Springer, 2024.

  4. Ko Watanabe; Seiya Tanaka; Andrew Vargo; Koichi Kise; Andreas Dengel

    Comparing Web Browsing Behaviors with High and Low Information Literacy: A Case Study for Fact Check Against GPT Generated Fake News

    In: Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pervasive and Ubiquitous Computing (UbiComp Companion '24). International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp-2024), October 5-9, Melbourne, Australia, ISBN 979-8-4007-1058-2/24/10, ACM, 2024.

  5. Jan Herbst; Lea Bergkemper; Christian Fahldieck; Christoph Lipps; Arata Jingu; Jürgen Steimle; Hans D. Schotten

    One Step Towards Secure Identification in Wireless Body Area Networks (WBANs): Intelligent Insole Sensor Systems

    In: 2024 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS). IEEE International Conference on Flexible Printable Sensors and Systems (FLEPS-2024), June 30 - July 3, Tampere, Finland, IEEE Xplore, 2024.

  6. Olga Zagovora; Talisa Schwall; Katrin Weller

    Amplifying Academic Research through YouTube: Engagement Metrics as Predictors of Citation Impact

    In: Companion Publication of the 16th ACM Web Science Conference. Web Science Conference (WebSci), New York, NY, USA, Websci Companion '24, ISBN 9798400704536, Association for Computing Machinery, 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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