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2020 – today
- 2024
[i2]Vinod Kumar Chauhan
, Lei A. Clifton, Achille Salaün, Huiqi Yvonne Lu, Kim Branson, Patrick Schwab, Gaurav Nigam, David A. Clifton:
Sample Selection Bias in Machine Learning for Healthcare. CoRR abs/2405.07841 (2024)- 2023
- [j1]François Desbouvries, Yohan Petetin, Achille Salaün:
Expressivity of Hidden Markov Chains vs. Recurrent Neural Networks From a System Theoretic Viewpoint. IEEE Trans. Signal Process. 71: 4178-4191 (2023) - 2022
- [i1]François Desbouvries, Yohan Petetin, Achille Salaün:
Expressivity of Hidden Markov Chains vs. Recurrent Neural Networks from a system theoretic viewpoint. CoRR abs/2208.08175 (2022) - 2021
- [b1]Achille Salaün:
Prédiction d'alarmes dans les réseaux via la recherche de motifs spatio-temporels et l'apprentissage automatique. (Alarm prediction in networks via space-time pattern matching and machine learning). Polytechnic Institute of Paris, France, 2021 - 2020
- [c4]Achille Salaün, Anne Bouillard, Marc-Olivier Buob:
Demo Abstract: End-to-end Root Cause Analysis of a Mobile Network. INFOCOM Workshops 2020: 1324-1325
2010 – 2019
- 2019
- [c3]Achille Salaün, Yohan Petetin, François Desbouvries:
Comparing the Modeling Powers of RNN and HMM. ICMLA 2019: 1496-1499 - [c2]Achille Salaün, Anne Bouillard, Marc-Olivier Buob:
Space-Time Pattern Extraction in Alarm Logs for Network Diagnosis. MLN 2019: 134-153 - 2018
- [c1]Anne Bouillard, Marc-Olivier Buob, Maxime Raynal, Achille Salaün:
Log Analysis via Space-time Pattern Matching. CNSM 2018: 303-307
Coauthor Index
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last updated on 2024-08-05 21:13 CEST by the dblp team
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