Concept
Automédication
Publications associées (32)
Bone conduction facilitates self-other voice discrimination
Olaf Blanke, Nathan Quentin Faivre, Oliver Alan Kannape, Pavo Orepic
One's own voice is one of the most important and most frequently heard voices. Although it is the sound we associate most with ourselves, it is perceived as strange when played back in a recording. One of the main reasons is the lack of bone conduction tha ...
2023Linear Complexity Self-Attention With 3rd Order Polynomials
Grigorios Chrysos, Filippos Kokkinos
Self-attention mechanisms and non-local blocks have become crucial building blocks for state-of-the-art neural architectures thanks to their unparalleled ability in capturing long-range dependencies in the input. However their cost is quadratic with the nu ...
Los Alamitos2023Modeling Structured Data in Attention-based Models
Natural language processing has experienced significant improvements with the development of Transformer-based models, which employ self-attention mechanism and pre-training strategies. However, these models still present several obstacles. A notable issue ...
EPFL2023Identifying Disease-Specific Neural Reactivity to Psychosocial Stress in Borderline Personality Disorder
Dimitri Nestor Alice Van De Ville
BACKGROUND: Patients with borderline personality disorder (BPD) typically present emotion dysregulation (ED) when faced with adversity. However, it is argued that altered stress response may be more influenced by ED than BPD-specific traits. Here, we inves ...
ELSEVIER2022Sex Differences in Comorbidity Combinations in the Swedish Population
High comorbidity rates, especially mental-physical comorbidity, constitute an increasing health care burden, with women and men being differentially affected. To gain an overview of comorbidity rates stratified by sex across a range of different conditions ...
MDPI2022Efficient Transformer-Based Speech Recognition
Training deep neural network based Automatic Speech Recognition (ASR) models often requires thousands of hours of transcribed data, limiting their use to only a few languages. Moreover, current state-of-the-art acoustic models are based on the Transformer ...
EPFL2022Form-finding of tensegrity structures via rank minimization of force density matrix
This study proposes a general computational framework for the form-finding of tensegrity structures. The procedure is divided into two stages in which the member force densities and nodal coordinates are obtained respectively. In the first stage, the deter ...
ELSEVIER SCI LTD2021Predicting changes in depression using person-generated health data
Depression is a leading cause of disability, impacting the lives of an increasingly large number of individuals worldwide. Despite a range of treatment options, a substantial fraction of individuals experiencing depressive symptoms do not seek or receive t ...
2021A unifying framework for form-finding and topology-finding of tensegrity structures
This paper presents a unifying framework for the form-finding and topology-finding of tensegrity structures. The novel computational framework is based on rank-constrained linear matrix inequalities. For form-finding, given the topology (i.e., member conne ...
PERGAMON-ELSEVIER SCIENCE LTD2021Ten seconds of my nights: Exploring methods to measure brightness, loudness and attendance and their associations with alcohol use from video clips
Daniel Gatica-Perez, Skanda Muralidhar, Lakmal Buddika Meegahapola
Introduction Most evidence on associations between alcohol use behaviors and the characteristics of its social and physical context is based on self-reports from study participants and, thus, only account for their subjective impressions of the situation. ...
PUBLIC LIBRARY SCIENCE2021