◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Gabriel Michau

17 papers hereh-index 16991 citations37 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author7
  • middle author10

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • cs.LG7
  • stat.ML4
  • eess.SP3
  • cs.AI1
  • eess.SY1
  • math.OC1

identity via Semantic Scholar / OpenAlex

activity
20162022
most citedUnsupervised Transfer Learning for Anomaly Detection: Application to Complementary Operating Condition Transfer

138 citations · 615 across the 16 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

stat.ML2021

Canonical Polyadic Decomposition and Deep Learning for Machine Fault Detection

Gaetan Frusque, Gabriel Michau, Olga Fink

Acoustic monitoring for machine fault detection is a recent and expanding research path that has already provided promising results for industries. However, it is impossible to col…

cs.LG2021★ 133 cited

Fully Learnable Deep Wavelet Transform for Unsupervised Monitoring of High-Frequency Time Series

Gabriel Michau, Gaetan Frusque, Olga Fink

High-Frequency (HF) signals are ubiquitous in the industrial world and are of great use for monitoring of industrial assets. Most deep learning tools are designed for inputs of fix…

eess.SY2021★ 42 cited

Decision Support System for an Intelligent Operator of Utility Tunnel Boring Machines

Gabriel Rodriguez Garcia, Gabriel Michau, Herbert H. Einstein +1

In tunnel construction projects, delays induce high costs. Thus, tunnel boring machines (TBM) operators aim for fast advance rates, without safety compromise, a difficult mission i…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.