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A Semi-Supervised Algorithm for Improving the Consistency of Crowdsourced Datasets: The COVID-19 Case Study on Respiratory Disorder Classification

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The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms

David Atienza Alonso, Tomas Teijeiro Campo, Lara Orlandic

Cough audio signal classification has been successfully used to diagnose a variety of respiratory conditions, and there has been significant interest in leveraging Machine Learning (ML) to provide widespread COVID-19 screening. However, there is currently ...

2020

In this paper, we explore various approaches for semi- supervised learning in an end-to-end automatic speech recog- nition (ASR) framework. The first step in our approach in- volves training a seed model on the limited amount of labelled data. Additional u ...

2019

Classification of degenerative parkinsonism subtypes by support-vector-machine analysis and striatal I-123-FP-CIT indices

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti

ObjectivesTo provide an automated classification method for degenerative parkinsonian syndromes (PS) based on semiquantitative I-123-FP-CIT SPECT striatal indices and support-vector-machine (SVM) analysis.Methods(123)I-FP-CIT SPECT was performed at a singl ...

Springer2019

Neuromorphic systems provide brain-inspired methods of computing. In a neuromorphic architecture, inputs are processed by a network of neurons receiving operands through synaptic interconnections, tuned in the process of learning. Neurons act simultaneousl ...

EPFL2017

In this research we study the berth allocation problem (BAP) in real time as disruptions occur. In practice, the actual arrival times and handling times of the vessels deviate from their expected or estimated values, which can disrupt the original berthing ...

Springer2017

Nanoscale topography determines the capillary assembly of nanoparticles

Jürgen Brugger, Olivier Martin, Duncan Thomas Lindsay Alexander, Massimo Mastrangeli, Elmira Shahrabi, Jérémy Butet, Valentin Flauraud, Gabriel David Bernasconi

Design and deterministic spatial arrangement of nanoparticle (NP) clusters are core opportunities and challenges for nanotechnology. Particularly, building functional nanodevices with preset architecture requires to reconcile a high degree of NP organizati ...

2017

Automatic Speech Recognition (ASR) can introduce higher levels of automation into Air Traffic Control (ATC), where spoken language is still the predominant form of communication. While ATC uses standard phraseology and a limited vocabulary, we need to adap ...

2017

Semi-supervised Learning with Semantic Knowledge Extraction for Improved Speech Recognition in Air Traffic Control

Petr Motlicek

Idiap2017

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In this paper, we propose a taxonomy of handwriting errors exhibited by children as a way to build adequate strategies for integration with a co-writing peer. The exploration includes the collection of letters written by children in an initial study, which ...

2017

Classification of Children's Handwriting Errors for the Design of an Educational Co-writer Robotic Peer

Pierre Dillenbourg, Shruti Chandra, Ana Paiva

2017