no code implementations • 22 Mar 2024 • Alvaro Gonzalez-Jimenez, Simone Lionetti, Dena Bazazian, Philippe Gottfrois, Fabian Gröger, Marc Pouly, Alexander Navarini
Out-Of-Distribution (OOD) detection is critical to deploy deep learning models in safety-critical applications.
no code implementations • 9 Jan 2024 • Tim vor der Brück, Marc Pouly
Due to their ease of use and high accuracy, Word2Vec (W2V) word embeddings enjoy great success in the semantic representation of words, sentences, and whole documents as well as for semantic similarity estimation.
1 code implementation • 13 Sep 2023 • Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Alvaro Gonzalez-Jimenez, Matthew Groh, Roxana Daneshjou, Labelling Consortium, Alexander A. Navarini, Marc Pouly
Benchmark datasets for digital dermatology unwittingly contain inaccuracies that reduce trust in model performance estimates.
no code implementations • 11 Aug 2023 • Fabian Gröger, Marc Pouly, Flavia Tinner, Leif Brandes
Many hotels target guest acquisition efforts to specific markets in order to best anticipate individual preferences and needs of their guests.
1 code implementation • 1 Jun 2023 • Alvaro Gonzalez-Jimenez, Simone Lionetti, Philippe Gottfrois, Fabian Gröger, Marc Pouly, Alexander Navarini
Our results provide strong evidence that the T-Loss is a promising alternative for medical image segmentation where high levels of noise or outliers in the dataset are a typical phenomenon in practice.
no code implementations • 26 May 2023 • Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Alvaro Gonzalez-Jimenez, Ludovic Amruthalingam, Labelling Consortium, Matthew Groh, Alexander A. Navarini, Marc Pouly
Most benchmark datasets for computer vision contain irrelevant images, near duplicates, and label errors.
1 code implementation • 25 Nov 2020 • Jana Koehler, Joseph Bürgler, Urs Fontana, Etienne Fux, Florian Herzog, Marc Pouly, Sophia Saller, Anastasia Salyaeva, Peter Scheiblechner, Kai Waelti
We summarize our investigations to model this cable tree wiring Problem (CTW) as a traveling salesman problem with atomic, soft atomic, and disjunctive precedence constraints as well as tour-dependent edge costs such that it can be solved by state-of-the-art constraint programming (CP), Optimization Modulo Theories (OMT), and mixed-integer programming (MIP) solvers.
no code implementations • NAACL 2019 • Tim vor der Br{\"u}ck, Marc Pouly
The prevalent way to estimate the similarity of two documents based on word embeddings is to apply the cosine similarity measure to the two centroids obtained from the embedding vectors associated with the words in each document.
no code implementations • 14 Aug 2015 • Jordi Roca-Lacostena, JesUs Cerquides, Marc Pouly
In spite of that, the mainline of Pouly and Kohlas' theory is correct, although some of the necessary conditions have to be revised.