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machine learning

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Publications for keyword "machine learning"
2023
2022
Jerome Treboux, Aurore Pittet and 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, pages 1-6, IEEE, 2022
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2021
Jerome Treboux, Rolf Ingold and 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, pages 1-6, IEEE, 2021
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2020
Jerome Treboux, Rolf Ingold and 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, pages 1-6, IEEE, 2020
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2019
Alex Carmine Olivieri, Shaban Shabani, Sokhn Maria and 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 and 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 and Dominique Genoud, High Precision Agriculture: An Application Of Improved Machine-Learning Algorithms, Bern, Switzerland, pages 103-108, IEEE 2019 6th Swiss Conference on Data Science (SDS), 2019
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Michael Barry and 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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2018
Jerome Treboux and Dominique Genoud, Improved Machine Learning Methodology for High Precision Agriculture, Bilbao, Spain, Inproceedings of the 2018 Global Internet of Things Summit (GIoTS), 2018
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Mariam Barque, Simon Martin, Jérémie Etienne Norbert Vianin, Dominique Genoud and David Wannier, Improving wind power prediction with retraining machine learning algorithms, 2018 International Workshop on Big Data and Information Security (IWBIS), Jakarta, Indonesia, Indonesia, pages 43-48, IEEE, 2018
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Michael Barry, Hubert Abgottspon and René Schumann, Solver Tuning and Model Configuration, in: Proceedings of the 41st German Conference on Artificial Intelligence (KI 2018), Berlin, pages 141 -- 154, Springer, Cham, 2018
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2017
Agianniotis Aristotelis, Dawit Alemu, Dominique Genoud, Christophe Gisler, Jean Hennebert and Thierry Varidel, Glaucoma Prognostication Platform, Applied Machine Learning Days 2017, EPFL, Lausanne, Switzerland, 2017
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Agianniotis Aristotelis, Machine Learning in Med Tech, 2017
  • []: Machine Learning in Med Tech. Glaucoma Prognostication Platform.

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2016
2014
2010
Jimison Iavindrasana, Adrien Depeursinge, Gilles Cohen, Antoine Geissbuhler and Henning Müller, Asymmetric margin support vector machines for lung tissue classification, in: IEEE International Joint Conference on Neural Networks (IJCNN), Barcelona, Spain, pages 1--8, 2010
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Fouad Slimane, Slim Kanoun, Adel Alimi, Jean Hennebert and 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), pages 161-164, 2010
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Florian Verdet, Driss Matrouf, Jean-François Bonastre and Jean Hennebert, Coping with Two Different Transmission Channels in Language Recognition, in: Odyssey 2010, The Speaker and Language Recognition Workshop, Brno, Czech Republic, pages 230-237, 2010
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Fouad Slimane, Slim Kanoun, Adel Alimi, Rolf Ingold and Jean Hennebert, Gaussian Mixture Models for Arabic Font Recognition, in: 20th International Conference on Pattern Recognition (ICPR 2010), pages 2174-2177, 2010
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Fouad Slimane, Rolf Ingold, Slim Kanoun, Adel Alimi and 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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2009
Micheal El Betjali, Jean-Luc Bloeche, Andreas Humm, Rolf Ingold and 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, pages 1331--1336, 2009
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2008
Jimison Iavindrasana, Gilles Cohen, Adrien Depeursinge, Rodolphe Meyer, Henning Müller and 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, pages 23-28, 2008
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Benoît Fauve, Hervé Bredin, Walid Karam, Florian Verdet, Aurélien Mayoue, Gérard Chollet, Jean Hennebert, Richard Lewis, John Mason, Chafik Mokbel and 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, pages 4137-4140, IEEE, 2008
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Jean Hennebert, Speaker Verification, in: Biometrics And Human Identity, Grada, 2008
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