From 37dd9d857148e3c552271a5af7142c145f1d1d90 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Antonio=20Co=C3=ADn?= Date: Thu, 22 Sep 2022 17:49:37 +0200 Subject: [PATCH] Update README.md with new user --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 7c3c59c..97b23d9 100644 --- a/README.md +++ b/README.md @@ -15,6 +15,7 @@ template (or a slightly modified variant of it): - S. Almasian, [Learning Joint Vector Representations of Words and Named Entities](https://github.com/satya77/Thesis_Entity_Embeddings/blob/master/MasterThesis_SatyaAlmasian.pdf), M.Sc. thesis, Heidelberg University, 2018 - E. Angriman, [Scalable Algorithms for the Analysis of Massive Networks](https://edoc.hu-berlin.de/handle/18452/25013), Ph.D. thesis, Humboldt University of Berlin, 2022 - C. Bock, [Motifs and Manifolds: Statistical and Topological Machine Learning for Characterising and Classifying Biomedical Time Series](https://www.research-collection.ethz.ch/handle/20.500.11850/524042), Ph.D. thesis, ETH Zurich, 2021 +- A. Coín, [Bayesian RKHS-based methods in functional regression](https://github.com/antcc/tfm/releases/download/v1.1/masters-thesis.pdf), M.Sc. thesis, Autonomous University of Madrid, 2022 - K. Hanser, [Visualization of Coherence in Meteorological Data](https://github.com/hanserK/master_thesis/blob/master/Thesis_Karsten_Hanser.pdf), M.Sc. thesis, Heidelberg University, 2018 - M. Moor, [Machine Learning on Clinical Time Series: Classification and Representation Learning](https://www.research-collection.ethz.ch/handle/20.500.11850/532377), Ph.D. thesis, ETH Zurich, 2022