Team leader of Computational Intelligence for Computational Biology (CI4CB) and Professor
Toward the use of protists as bioindicators of multiple stresses in agricultural soils: A case study in vineyard ecosystems BertrandFournierab, Magdalena Steinerc, Xavier Brochetde, Florine Degruneab, Jibril Mammerid, Diogo Leite Carvalhode1, Sara Leal Siliceod, SvenBacherc, Carlos AndrésPeña-Reyesde,Thierry J.Hegerba Institute of Continue reading New publication
by Zahra Mungloo-Dilmohamud 1,*, Maleika Heenaye-Mamode Khan 1, Khadiime Jhumka 1, Balkrish N. Beedassy 2, Noorshad Z. Mungloo 2 and Carlos Peña-Reyes3,41Faculty of Information, Communication and Digital Technologies, University of Mauritius, Réduit 80837, Mauritius2Ministry of Health and Wellness, Quatre Bornes 72259, Mauritius3School of Management and Engineering Vaud (HES-SO), University of Applied Sciences Continue reading New publication – Balancing Data through Data Augmentation Improves the Generality of Transfer Learning for Diabetic Retinopathy Classification
Greenlight from SNF for two new projects: EXPLaiN – Ethical and Legal issues of Mobile Health‐Data – Improving understanding and eXPlainability of digitaL transformAtion and data technologies using artificial IntelligeNce. Based on a collaboration with Prof. Dr. med. Bernice Simone Elger Continue reading Two new projects approved by the SNF
Dr Miguel A. Barreto-Sanz presented at the Bacteriophages in Food, Medicine and Biotechnology. St Hilda’s College, Oxford UK. In-silico prediction of phage-bacteria interactions at a strain-level through omics data analysis and machine learning Miguel A Barreto-Sanz1,2, Diogo M Carvalho Leite1,2, Continue reading Bacteriophages in Food, Medicine and Biotechnology.
Diogo Leite, Ruan Fernando Lòpez, Diana Victoria Ramirez and Jibril Mammeri presented posters at the SIB days 2018 Exploration of a large spectrum of machine-learning techniques to predict phage-bacterium interactions Diogo Leite1, Grégory Resch3, Yok-Ai Que2, Xavier Brochet1, Miguel Barreto1 Continue reading SIB days 2018
Jérémie Despraz presented at the International Joint Conference on Computational Intelligence Towards a Better Understanding of Deep Neural Networks Representations using Deep Generative Networks Jérémie Despraz 1,2, Stéphane Gomez 1,2, Héctor F. Satizábal 1, and Carlos Peña-Reyes 1,2 1 School Continue reading IJCCI 2017: International Joint Conference on Computational Intelligence
The HES-SO allocated 249’950 CHF for the MALDIveS project – Next-Generation Sequencing, Bioinformatics and Machine Learning as a Diagnostic Tool for Soil Health. The impact of farming practices and pesticides on soil quality and health is a growing concern for Continue reading Greenlight from HES-SO for the MALDIVES project
Diogo Leite presented a Poster at the Basel Computational Biology Conference Computational models able to predict phage-bacteria relationships through genomics data analysis Diogo Manuel Carvalho Leite 1,2, Xavier Brochet 1,2, Grégory Resch 3, Yok-Ai Que 4, and Carlos Peña-Reyes 1,2 Continue reading The 13th [BC]2 – the Basel Computational Biology Conference
Diogo Leite presented a Poster at the conference “Join the Annual meeting of the SSM” and won the price for the best poster sponsored by biomérieux. Machine-learning models able to predict phage bacteria interactions Diogo Manuel Carvalho Leite 1,2, Xavier Continue reading Joint annual meeting 2017 of the Swiss Societies for Microbiology (SSM)
Camilla Alvarez will present a Poster at the conference. Machine Learning on Retina Images for Diagnostic Decision Support Maria Camila Alvarez Triviño1, Jesús Alfonso López Sotelo 1, Jérémie Despraz 2,3, and Carlos Peña-Reyes 2,3 1 Universidad Autónoma de Occidente, Colombia 2 School of Business and Continue reading WOMEN IN COMPUTER VISION WORKSHOP