Henning Müller
Voornamen: Henning
Achternamen: Müller
Email: henning.mueller@hevs.ch
Instituut: II

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Publicaties van Henning Müller gesorteerd op tijdschrift en type


Alle publicaties van type Inproceedings


2023

Laura O' Mahony, Vincent Andrearczyk, Henning Müller en Mara Graziani, Disentangling Neuron Representations with Concept Vectors, in: Proceedings of the 2nd Explainable AI for Computer Vision (XAI4CV) Workshop at CVPR 2023, 2023
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Anjani Dhrangadhariya, Wojciech Kusa, Henning Müller en Allan Hanbury, HEVS-TUW at SemEval-2023 Task 8: Ensemble of Language Models and Rule-based Classifiers for Claims Identification and PICO Extraction, in: Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), Toronto, Canada, pagina's 1776–1782, Association for Computational Linguistics, 2023
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2022

Mara Graziani, Niccolò Marini, Nicolas Deutschmann, Nikita Janakarajan, Henning Müller en Maria Rodriguez Martinez, Attention-based Interpretable Regression of Gene Expression in Histology, in: Proceedings of the The Workshop on Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC) at MICCAI 2022, 2022
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Anjani Dhrangadhariya en 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, pagina's 345--358, 2022
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Serge Kozlovski, Yashin Dicente Cid, Vassili Kovalev en Henning Müller, Overview of ImageCLEFtuberculosis 2022: CT-based cavern detection and report, in: Proceedings of CLEF (Conference and Labs of the Evaluation Forum) 2022 Working Notes, 2022

2019

Obioma Pelka, Christoph M Friedrich, Alba García Seco de Herrera en 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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2018

Sebastian Otalora, Oscar Perdomo, Manfredo Atzori, Mats Andersson, Martin Hedlund en Henning Müller, Determining the scale of image patches using a deep learning approach, in: IEEE International Symposium on Biomedical Imaging (ISBI), Washington, DC, USA, 2018
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