Schlagwort: "machine learning" - HES SO Valais Publications

Desirè Fabbretti, Matteo Pasquino, Elia Pacioni, Caterina Lucarelli und Davide Calvaresi, Evolutionary Rule Extraction from Corporate Default Prediction Models, in: EXTRAAMAS 2026, 2026

Mario Trerotola, Davide Calvaresi und Domenico Parente, An Explainable Machine Learning Framework for Detecting Illicit Bitcoin Wallets with Graph Temporal Features, 2025

Gaetano Manzo, Yvan Pannatier, Patrick Duflot, Philippe Kolh, Marcela Chavez, Valérie Bleret, Davide Calvaresi, Oscar Jimenez del Toro, Michael Schumacher und Jean-Paul Calbimonte, Breast cancer survival analysis agents for clinical decision support (2023), in: Computer Methods and Programs in Biomedicine, 231(107373)

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Jean-Paul Calbimonte, Orfeas Aidonopoulos, Fabien Dubosson, Benjamin Pocklington, Ilia Kebets, Pierre-Mikael Legris und Michael Schumacher, Decentralized semantic provision of personal health streams (2023), in: Journal of Web Semantics, 76(100774)

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Gianluca Rizzo, On the Limit Performance of Floating Gossip (2023), in: IEEE INFOCOM 2023

Jerome Treboux, Vine line detection in diverse environments aerial images using machine learning, 2023

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Jerome Treboux, Aurore Pittet und Dominique Genoud, An Evaluation of the Generalization Capabilities of Machine Learning Models for Vine Line Detection, 2022 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), Gold Coast, Australia, Seiten 1-6, IEEE, 2022

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Amine Weibel, Nicolas jordan und David Wannier, A data augmentation methodology for machine learning modelling of distribution power grid: Application on optimal storage sizing and control (2021), in: CIRED 2021(5)

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Jerome Treboux, Rolf Ingold und Dominique Genoud, Improved Line Detection in Images using Neural Networks and DTE Subclassifiers, in: 2021 9th European Workshop on Visual Information Processing (EUVIP), IEEE, Paris, France, Seiten 1-6, IEEE, 2021

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Mara Graziani, Iam Palatnik de Sousa, Marley M Vellasco BR, Eduardo Costa da Silva, Henning Müller und Vincent Andrearczyk, Sharpening Local Interpretable Model-agnostic Explanations for Histopathology: Improved Understandability and Reliability, in: MICCAI 2021, Springer, 2021

Lora Fanda, Yashin Dicente Cid, Paweł J Matusz und Davide Calvaresi, To Pay or Not to Pay Attention: Classifying and Interpreting Visual Selective Attention Frequency Features, 2021

Vincent Grèzes, Riccardo Bonazzi und Francesco Maria Cimmino, Atman: Intelligent information gap detection for learning organizations: First steps toward computational collective intelligence for decision making (2020), in: JISIB Journal of Intelligence Studies in Business, 10:2(26-31)

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Jerome Treboux, Rolf Ingold und Dominique Genoud, Towards Retraining of Machine Learning Algorithms: An Efficiency Analysis Applied to Smart Agriculture, in: 2020 Global Internet of Things Summit (GIoTS), Dublin, Ireland, Seiten 1-6, IEEE, 2020

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Nicolas Blanc, Zhan Liu, Olivier Ertz, Diego Rojas, Romain Sandoz, Sokhn Maria, Jens Ingensand und Jean Christophe Loubier, Building a Crowdsourcing based Disabled Pedestrian Level of Service routing applicationusing Computer Vision and Machine Learning, in: the 16th Conference of IEEE Consumer Communications & Networking Conference (CCNC), Las Vegas, USA, Seiten 1-5, IEEE, 2019

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Alex Carmine Olivieri, Shaban Shabani, Sokhn Maria und Cudré-Mauroux Philippe, Creating Task-Generic Features for Fake News Detection, in: Proceedings of the 53nd Annual Hawaii International Conference on System Sciences (HICSS 2019), Maui, USA, 2019

Zhan Liu, Shaban Shabani, Nicole Glassey Balet und Sokhn Maria, Detection of Satiric News on Social Media: Analysis of the Phenomenon with a French Dataset, in: The 28th International Conference on Computer Communications and Networks (ICCCN 2019), Valencia, Spain, IEEE, 2019

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Jerome Treboux und Dominique Genoud, High Precision Agriculture: An Application Of Improved Machine-Learning Algorithms, Bern, Switzerland, Seiten 103-108, IEEE 2019 6th Swiss Conference on Data Science (SDS), 2019

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Michael Barry und René Schumann, Strategies for Runtime Prediction and Mathematical Solvers Tuning, in: Proceedings of the 11th International Conference on Agents and Artificial Intelligence (ICAART 2019), 2019

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Gaetano Manzo, Sebastian Otalora und Gianluca Rizzo, A Deep Learning Mechanism for Efficient Information Dissemination in Vehicular Floating Content (2018), in: arXiv

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Jerome Treboux und Dominique Genoud, Improved Machine Learning Methodology for High Precision Agriculture, Bilbao, Spain, Inproceedings of the 2018 Global Internet of Things Summit (GIoTS), 2018

Mariam Barque, Simon Martin, Jérémie Etienne Norbert Vianin, Dominique Genoud und David Wannier, Improving wind power prediction with retraining machine learning algorithms, 2018 International Workshop on Big Data and Information Security (IWBIS), Jakarta, Indonesia, Indonesia, Seiten 43-48, IEEE, 2018

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Michael Barry, Hubert Abgottspon und René Schumann, Solver Tuning and Model Configuration, in: Proceedings of the 41st German Conference on Artificial Intelligence (KI 2018), Berlin, Seiten 141 -- 154, Springer, Cham, 2018

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Agianniotis Aristotelis, Dawit Alemu, Dominique Genoud, Christophe Gisler, Jean Hennebert und Thierry Varidel, Glaucoma Prognostication Platform, Applied Machine Learning Days 2017, EPFL, Lausanne, Switzerland, 2017

Agianniotis Aristotelis, Machine Learning in Med Tech, 2017

[]: Machine Learning in Med Tech. Glaucoma Prognostication Platform.

Asma Ben Abacha, Alba García Seco de Herrera, Ke Wang, L. Rodney Long, Sameer Antani und Dina Demner-Fushman, Named Entity Recognition in Functional Neuroimaging Literature, 2017

Christine Voiron, Jean Christophe Loubier, Dominique Genoud und Florian Sant, Intérêt de la simulation paysagère en modélisation géoprospective, SAGEO 2016, 2016

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Bjoern Menze, Georg Langs, Albert Montillo, Michael Kelm, Henning Müller und Zhuowen Tu, Proceedings of the International Workshop on Medical Computer Vision (MCV), Springer, LNCS, 2014

[]: IF 2005=0.402

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Jimison Iavindrasana, Adrien Depeursinge, Gilles Cohen, Antoine Geissbuhler und Henning Müller, Asymmetric margin support vector machines for lung tissue classification, in: IEEE International Joint Conference on Neural Networks (IJCNN), Barcelona, Spain, Seiten 1--8, 2010

Florian Verdet, Driss Matrouf, Jean-François Bonastre und Jean Hennebert, Channel Detectors for System Fusion in the Context of NIST LRE 2009, in: Interspeech'2010, Makuhari (Japan), 2010

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Adrien Depeursinge, Jimison Iavindrasana, Asmâa Hidki, Gilles Cohen, Antoine Geissbuhler, Alexandra Platon, Pierre-Alexandre Poletti und Henning Müller, Comparative Performance Analysis of State-of-the-Art Classification Algorithms Applied to Lung Tissue Categorization (2010), in: Journal of Digital Imaging, 23:1(18-30)

[]: Impact Factor: 1.413 (2010)

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Fouad Slimane, Slim Kanoun, Adel Alimi, Jean Hennebert und Rolf Ingold, Comparison of Global and Cascading Recognition Systems Applied to Multi-font Arabic Text, in: 10th ACM Symposium on Document Engineering (DocEng2010), Manchester (United Kingdom), Seiten 161-164, 2010

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Florian Verdet, Driss Matrouf, Jean-François Bonastre und Jean Hennebert, Coping with Two Different Transmission Channels in Language Recognition, in: Odyssey 2010, The Speaker and Language Recognition Workshop, Brno, Czech Republic, Seiten 230-237, 2010

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Fouad Slimane, Slim Kanoun, Adel Alimi, Rolf Ingold und Jean Hennebert, Gaussian Mixture Models for Arabic Font Recognition, in: 20th International Conference on Pattern Recognition (ICPR 2010), Seiten 2174-2177, 2010

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Fouad Slimane, Rolf Ingold, Slim Kanoun, Adel Alimi und Jean Hennebert, Impact of Character Models Choice on Arabic Text Recognition Performance, in: 12th International Conference on Frontiers in Handwriting Recognition (ICFHR 2010), Kolkata (India), 2010

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Javier Ortega-Garcia, Julian Fierrez, Fernando Alonso-Fernandez, Javier Galbally, Manuel R. Freire, Joaquin Gonzalez-Rodriguez, Carmen Garcia-Mateo, Jose-Luis Alba-Castro, Elisardo Gonzalez-Agulla, Enrique Otero-Muras, Sonia Garcia-Salicetti, Lorene Allano, Bao Ly-Van, Bernadette Dorizzi, Josef Kittler, Thirimachos Bourlai, Norman Poh, Farzin Deravi, Ming W. R. Ng, Michael Fairhurst, Jean Hennebert, Andreas Humm, Massimo Tistarelli, Linda Brodo, Jonas Richiardi, Andrzej Drygajlo, Harald Ganster, Federico M. Sukno, Sri-Kaushik Pavani, Alejandro Frangi, Lale Akarun und Arman Savran, The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB) (2010), in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(1097-1111)

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Micheal El Betjali, Jean-Luc Bloeche, Andreas Humm, Rolf Ingold und Jean Hennebert, Labeled Images Verification Using Gaussian Mixture Models, in: 24th Annual ACM Symposium on Applied Computing (ACM SAC 09), Honolulu, USA, March 8 - 12, Seiten 1331--1336, 2009

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Jimison Iavindrasana, Gilles Cohen, Adrien Depeursinge, Henning Müller und Antoine Geissbuhler, Nosocomial Infection Case Reporting using Fisher's Linear Discriminant Algorithm, in: HEALTHINF 2009, Seiten 317-322, 2009

Adrien Depeursinge, Jimison Iavindrasana, Asmâa Hidki, Gilles Cohen, Antoine Geissbuhler, Alexandra Platon, Pierre-Alexandre Poletti und Henning Müller, A classification framework for lung tissue categorization, in: SPIE Medical Imaging, Seiten 69190C-69190C-12, 2008

Jimison Iavindrasana, Adrien Depeursinge, Rodolphe Meyer, Stéphane Spahni, Antoine Geissbuhler und Henning Müller, Clinical information system for advanced cerebral aneurysm management, in: Swiss Conference on Medical Informatics, 2008

Jimison Iavindrasana, Adrien Depeursinge, Rodolphe Meyer, Stéphane Spahni, Antoine Geissbuhler und Henning Müller, How clinical information systems can support life science research (2008), in: Swiss Medical Informatics, 64(21-24)

Jimison Iavindrasana, Gilles Cohen, Adrien Depeursinge, Rodolphe Meyer, Henning Müller und Antoine Geissbuhler, Minimal Set of Attributes Required to Report Hospital-Acquired Infection Cases, in: IDAMAP 2008 - Workshop on Intelligent Data Analysis in Biomedicine and Pharmacology, Washington DC, Seiten 23-28, 2008

Benoît Fauve, Hervé Bredin, Walid Karam, Florian Verdet, Aurélien Mayoue, Gérard Chollet, Jean Hennebert, Richard Lewis, John Mason, Chafik Mokbel und Dijana Petrovska, Some Results from the BioSecure Talking-Face Evaluation Campaign, in: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, Nevada, USA, 30/03/08-04/04/08, Seiten 4137-4140, IEEE, 2008

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Jean Hennebert, Speaker Verification, in: Biometrics And Human Identity, Grada, 2008