Henning Müller
Primeiro nome(s): Henning
Sobrenome(s): Müller
Email: henning.mueller@hevs.ch
Instituto: II

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Publicações de Henning Müller ordenado por recente

Anjani Dhrangadhariya and Henning Müller, DISTANT-CTO: A Zero Cost, Distantly Supervised Approach to Improve Low-Resource Entity Extraction Using Clinical Trials Literature, in: Proceedings of the 21st Workshop on Biomedical Language Processing, Dublin, Ireland, páginas 345--358, 2022
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Obioma Pelka, Christoph M Friedrich, Alba García Seco de Herrera and Henning Müller, Overview of the ImageCLEFmed 2019 concept prediction task, in: CLEF2019 Working Notes. CEUR Workshop Proceedings, CEUR-WS. org, Lugano, Switzerland (September 09-12 2019), 2019
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Sebastian Otalora, Manfredo Atzori, Vincent Andrearczyk, Amjad Khan and Henning Müller, Staining invariant features for improving generalization of deep convolutional neural networks in computational pathology (2019), in: Frontiers in Bioengineering and Biotechnology-Bioinformatics and Computational Biology
  • []: (IF 2017= 5.122)

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Manfredo Atzori and Henning Müller, Parallel feature extraction tools to speed up feature extraction (2019), in: Frontiers in Neurorobotics
  • []: (IF 2017= 3.000)

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Matteo Cognolato, Manfredo Atzori, Diego Faccio, Cesare Tiengo, Franco Bassetto, Roger Gassert and Henning Müller, Hand Gesture Classification in Transradial Amputees Using the Myo Armband Classifier, in: 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob), Enschede, The Netherlands, páginas 156 - 161, 2018
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Matteo Cognolato, Manfredo Atzori and Henning Müller, Head-mounted eye gaze tracking devices: An overview of modern devices and recent advances (2018), in: Journal of Rehabilitation and Assistive Technologies Engineering, 5
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Mara Graziani, Vincent Andrearczyk and Henning Müller, Regression Concept Vectors for Bidirectional Explanations in Histopathology (2018), in: Lecture Notes in Computer Science, Workshop on Interpretability of Machine Intelligence in Medical Image Computing at MICCAI 2018(8)
  • []: Best paper award

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Francesca Stival, Stefano Michieletto, Enrico Pagello, Henning Müller and Manfredo Atzori, Quantitative hierarchical representation and comparison of hand grasps from electromyography and kinematic data, in: Workshop Learning Applications for Intelligent Autonomous Robots, 15th International Conference on Intelligent Autonomous Systems, Baden-Baden, Germany, 2018
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