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Displaying results 351 to 360 of 514.

  1. Julia Mayer; Martin Memmel; Johannes Ruf; Dhruv Patel; Lena Hoff; Sascha Henninger

    Progressing towards Estimates of Local Emissions from Trees in Cities: A Transdisciplinary Framework Integrating Available Municipal Data, AI, and Citizen Science

    In: Antonio Fernández-Caballero; Nuno Alexandre Ribeiro Costa; António Pereira (Hrsg.). Applied Sciences, Vol. 14, No. 1, Page 396, MDPI, 2024.

  2. Hannes Kath; Thiago Gouvea; Daniel Sonntag

    A Deep Generative Model for Interactive Data Annotation through Direct Manipulation in Latent Space

    DFKI, DFKI Research Reports (RR), Vol. 2305.15337v1, 5/2023.

  3. Hannes Kath; Bengt Lüers; Thiago Gouvea; Daniel Sonntag

    A Virtual Reality Tool for Representing, Visualizing and Updating Deep Learning Models

    DFKI, DFKI Research Reports (RR), Vol. 2305.15353v1, 5/2023.

  4. Md Abdul Kadir; Amir Mosavi; Daniel Sonntag

    Evaluation Metrics for XAI: A Review, Taxonomy, and Practical Applications

    In: 2023 IEEE 27th International Conference on Intelligent Engineering Systems (INES). Conference on Intelligent Engineering Systems (INES-2023), July …

  5. Francisco Mena; Diego Arenas; Marlon Nuske; Andreas Dengel

    Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing Applications

    In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), Vol. 0, Pages 1-21, IEEE GRSS, IEEE, 2/2024.

  6. 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 …

  7. Ilira Troshani; Thiago Gouvea; Daniel Sonntag

    Wild Data Treasures: Towards Sustainable Practices in Deep Learning for Wildlife Monitoring

    In: CHI EA '24: Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems. CHI Workshop on Sustaining Scalable …

  8. Jurgen van den Hoogen; Dan Hudson; Stefan Bloemheuvel; Martin Atzmueller

    Hyperparameter analysis of wide-kernel CNN architectures in industrial fault detection: an exploratory study

    In: International Journal of Data Science and Analytics, Pages 1-22, Springer, 2023.

  9. Martin Ben Ahmed; Niklas Wilming; Martin Atzmueller

    Graph Neural Network-Based Measurement Inference on Irregular Sensor Geometries

    In: 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). IEEE International Conference on Industrial Informatics (INDIN), Pages …

  10. J.M. Górriz; I. Álvarez-Illán; A. Álvarez-Marquina; J.E. Arco; M. Atzmueller; F. Ballarini; E. Barakova; G. Bologna; P. Bonomini; G. Castellanos-Dominguez; D. Castillo-Barnes; S.B. Cho; R. Contreras; J.M. Cuadra; E. Domínguez; F. Domínguez-Mateos; R.J. Duro; D. Elizondo; A. Fernández-Caballero; E. Fernandez-Jover; M.A. Formoso; N.J. Gallego-Molina; J. Gamazo; J. García González; J. Garcia-Rodriguez; C. Garre; J. Garrigós; A. Gómez-Rodellar; P. Gómez-Vilda; M. Graña; B. Guerrero-Rodriguez; S.C.F. Hendrikse; C. Jimenez-Mesa; M. Jodra-Chuan; V. Julian; G. Kotz; K. Kutt; M. Leming; J. de Lope; B. Macas; V. Marrero-Aguiar; J.J. Martinez; F.J. Martinez-Murcia; R. Martínez-Tomás; J. Mekyska; G.J. Nalepa; P. Novais; D. Orellana; A. Ortiz; D. Palacios-Alonso; J. Palma; A. Pereira; P. Pinacho-Davidson; M.A. Pinninghoff; M. Ponticorvo; A. Psarrou; J. Ramírez; M. Rincón; V. Rodellar-Biarge; I. Rodríguez-Rodríguez; P.H.M.P. Roelofsma; J. Santos; D. Salas-Gonzalez; P. Salcedo-Lagos; F. Segovia; A. Shoeibi; M. Silva; D. Simic; J. Suckling; J. Treur; A. Tsanas; R. Varela; S.H. Wang; W. Wang; Y.D. Zhang; H. Zhu; Z. Zhu; J.M. Ferrández-Vicente

    Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends

    In: Information Fusion, Vol. 100, Pages 1-37, Elsevier, 2023.

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