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Classifiers With a Reject Option for Early Time-Series Classification

Classifiers With a Reject Option for Early Time-Series Classification

IEEE Symposium on Computational Intelligence and Ensemble Learning (CIEL), 2013
14 December 2013
Nima Hatami
Camelia Chira
ArXiv (abs)PDFHTML

Papers citing "Classifiers With a Reject Option for Early Time-Series Classification"

12 / 12 papers shown
Automatically Reconciling the Trade-off between Prediction Accuracy and
  Earliness in Prescriptive Business Process Monitoring
Automatically Reconciling the Trade-off between Prediction Accuracy and Earliness in Prescriptive Business Process MonitoringInformation Systems (Inf. Syst.), 2023
Andreas Metzger
Tristan Kley
Aristide Rothweiler
Klaus Pohl
254
9
0
12 Jul 2023
Open challenges for Machine Learning based Early Decision-Making
  research
Open challenges for Machine Learning based Early Decision-Making researchSIGKDD Explorations (SIGKDD Explor.), 2022
A. Bondu
Youssef Achenchabe
Nikolaos Perrakis
Fabrice Clérot
Antoine Cornuéjols
João Gama
Georges Hébrail
V. Lemaire
P. Marteau
AI4CE
215
12
0
27 Apr 2022
When to Classify Events in Open Times Series?
When to Classify Events in Open Times Series?Asian Conference on Machine Learning (ACML), 2022
Youssef Achenchabe
A. Bondu
Antoine Cornuéjols
V. Lemaire
AI4TS
225
1
0
01 Apr 2022
Benefit-aware Early Prediction of Health Outcomes on Multivariate EEG
  Time Series
Benefit-aware Early Prediction of Health Outcomes on Multivariate EEG Time SeriesJournal of Biomedical Informatics (JBI), 2021
Shubhranshu Shekhar
D. Eswaran
Bryan Hooi
J. Elmer
Christos Faloutsos
Leman Akoglu
281
24
0
11 Nov 2021
Early and Revocable Time Series Classification
Early and Revocable Time Series Classification
Youssef Achenchabe
A. Bondu
Antoine Cornuéjols
V. Lemaire
345
5
0
21 Sep 2021
Machine Learning with a Reject Option: A survey
Machine Learning with a Reject Option: A surveyMachine-mediated learning (ML), 2021
Kilian Hendrickx
Lorenzo Perini
Dries Van der Plas
Wannes Meert
Jesse Davis
MU
493
175
0
23 Jul 2021
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for
  Speed-Accuracy Optimization
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy OptimizationInternational Conference on Machine Learning (ICML), 2021
Taiki Miyagawa
Akinori F. Ebihara
253
3
0
28 May 2021
Early Classification of Time Series. Cost-based Optimization Criterion
  and Algorithms
Early Classification of Time Series. Cost-based Optimization Criterion and Algorithms
Youssef Achenchabe
A. Bondu
Antoine Cornuéjols
A. Dachraoui
227
17
0
20 May 2020
Approaches and Applications of Early Classification of Time Series: A
  Review
Approaches and Applications of Early Classification of Time Series: A ReviewIEEE Transactions on Artificial Intelligence (IEEE TAI), 2020
Ashish Gupta
Hari Prabhat Gupta
Bhaskar Biswas
Tanima Dutta
AI4TS
267
115
0
06 May 2020
Bag of Recurrence Patterns Representation for Time-Series Classification
Bag of Recurrence Patterns Representation for Time-Series Classification
Nima Hatami
Y. Gavet
J. Debayle
154
43
0
29 Mar 2018
Classification of Time-Series Images Using Deep Convolutional Neural
  Networks
Classification of Time-Series Images Using Deep Convolutional Neural Networks
Nima Hatami
Y. Gavet
J. Debayle
311
381
0
02 Oct 2017
Performance measures for classification systems with rejection
Performance measures for classification systems with rejectionPattern Recognition (PR), 2015
Filipe Condessa
J. Kovacevic
J. Bioucas-Dias
219
41
0
10 Apr 2015
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