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Publications associées (23)
Technology Strategy in Dynamic Environments: A Computational Analysis of the Automation of Routines, the Organization of AI, and the Evaluation of Technology Risk
In this dissertation, I develop theory and evidence to argue that new technologies are central to how firms organize to create and capture value. I use computational methods such as reinforcement learning and probabilistic topic modeling to investigate thr ...
EPFL2022Discovering Tonal Profiles with Latent Dirichlet Allocation
Martin Alois Rohrmeier, Fabian Claude Moss
Music analysis, in particular harmonic analysis, is concerned with the way pitches are organized in pieces of music, and a range of empirical applications have been developed, for example, for chord recognition or key finding. Naturally, these approaches r ...
2021Context-Aware Image Super-Resolution Using Deep Neural Networks
Image super-resolution is a classic ill-posed computer vision and image processing problem, addressing the question of how to reconstruct a high-resolution image from its low-resolution counterpart. Current state-of-the-art methods have improved the perfor ...
EPFL2021Semantic Perturbations with Normalizing Flows for Improved Generalization
Martin Jaggi, Sebastian Urban Stich, Tatjana Chavdarova
Data augmentation is a widely adopted technique for avoiding overfitting when training deep neural networks. However, this approach requires domain-specific knowledge and is often limited to a fixed set of hard-coded transformations. Recently, several work ...
IEEE2021Transitions of Tonality: A Model-Based Corpus Study
Tonality has been the cornerstone of Western music-theoretical discourse for centuries. This study addresses the subject, using traditional music analysis, data-driven corpus methods, and computational models, concentrating on historical changes of tonalit ...
EPFL2019N-gram-Based Low-Dimensional Representation for Document Classification
Rémi Philippe Lebret, Ronan Collobert
The bag-of-words (BOW) model is the common approach for classifying documents, where words are used as feature for training a classifier. This generally involves a huge number of features. Some techniques, such as Latent Semantic Analysis (LSA) or Latent D ...
2015Towards a highly effective and robust Web credibility evaluation system
By leveraging crowdsourcing, Web credibility evaluation systems (WCESs) have become a promising tool to assess the credibility of Web content, e.g., Web pages. However, existing systems adopt a passive Way to collect users' credibility ratings, which incur ...
Elsevier Science Bv2015A Probabilistic Approach to Mining Mobile Phone Data Sequences
Daniel Gatica-Perez, Katayoun Farrahi
We present a new approach to address the problem of large sequence mining from big data. The particular problem of interest is the effective mining of long sequences from large-scale location data to be practical for Reality Mining applications, which suff ...
2014Clustering flood events from water quality time-series using Latent Dirichlet Allocation model
To improve hydro-chemical modeling and forecasting, there is a need to better understand flood-induced variability in water chemistry and the processes controlling it in watersheds. In the literature, assumptions are often made, for instance, that stream c ...
2013