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2020 – today
- 2023
[j10]Madalina Olteanu, Fabrice Rossi
, Florian Yger:
Meta-survey on outlier and anomaly detection. Neurocomputing 555: 126634 (2023)- [i4]Madalina Olteanu, Fabrice Rossi, Florian Yger:
Meta-survey on outlier and anomaly detection. CoRR abs/2312.07101 (2023) - 2022
- [c28]Madalina Olteanu, Fabrice Rossi, Florian Yger:
Challenges in anomaly and change point detection. ESANN 2022 - [i3]Madalina Olteanu, Fabrice Rossi, Florian Yger:
Challenges in anomaly and change point detection. CoRR abs/2212.13520 (2022) - 2021
- [c27]Marie Chavent, Jérôme Lacaille, Alex Mourer, Madalina Olteanu:
Handling Correlations in Random Forests: which Impacts on Variable Importance and Model Interpretability? ESANN 2021 - 2020
- [j9]Jean-Charles Lamirel, Marie Cottrell, Madalina Olteanu, Bruno Lévy:
Editorial. Neural Comput. Appl. 32(24): 17973-17975 (2020) - [j8]Madalina Olteanu, Aurélien Hazan, Marie Cottrell, Julien Randon-Furling:
Multidimensional urban segregation: toward a neural network measure. Neural Comput. Appl. 32(24): 18179-18191 (2020) - [c26]Marie Chavent, Jérôme Lacaille, Alex Mourer, Madalina Olteanu:
Sparse K-means for mixed data via group-sparse clustering. ESANN 2020: 235-240
2010 – 2019
- 2019
- [c25]Julien Randon-Furling, William Clark, Madalina Olteanu:
Analyzing spatial dissimilarities in high-resolution geo-data : a case study of four European cities. ESANN 2019 - [c24]Marie Cottrell, Cynthia Faure, Jérôme Lacaille, Madalina Olteanu:
Anomaly Detection for Bivariate Signals. IWANN (1) 2019: 162-173 - [c23]Marie Cottrell, Cynthia Faure, Jérôme Lacaille, Madalina Olteanu:
Detection of Abnormal Flights Using Fickle Instances in SOM Maps. WSOM+ 2019: 120-129 - [c22]Madalina Olteanu, Jean-Charles Lamirel:
When Clustering the Multiscalar Fingerprint of the City Reveals Its Segregation Patterns. WSOM+ 2019: 140-149 - 2017
- [j7]Jérôme Mariette, Madalina Olteanu, Nathalie Villa-Vialaneix:
Efficient interpretable variants of online SOM for large dissimilarity data. Neurocomputing 225: 31-48 (2017) - [c21]Jérôme Mariette, Fabrice Rossi, Madalina Olteanu, Nathalie Villa-Vialaneix:
Accelerating stochastic kernel SOM. ESANN 2017 - [c20]Julien Alerini, Marie Cottrell, Madalina Olteanu:
Hidden-Markov Models for Time Series of Continuous Proportions with Excess Zeros. IWANN (2) 2017: 198-209 - [c19]Cynthia Faure, Madalina Olteanu, Jean-Marc Bardet, Jérôme Lacaille:
Using self-organizing maps for clustering anc labelling aircraft engine data phases. WSOM 2017: 96-103 - [c18]Marie Cottrell, Madalina Olteanu, Julien Randon-Furling, Aurélien Hazan:
Multidimensional urban segregation: An exploratory case study. WSOM 2017: 177-183 - [e1]Jean-Charles Lamirel, Marie Cottrell, Madalina Olteanu:
12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization, WSOM 2017, Nancy, France, June 28-30, 2017. IEEE 2017, ISBN 978-1-5090-6638-4 [contents] - 2016
- [c17]Cynthia Faure, Jean-Marc Bardet, Madalina Olteanu, Jérôme Lacaille:
Comparison of three algorithms for parametric change-point detection. ESANN 2016 - [c16]Marie Cottrell, Madalina Olteanu, Fabrice Rossi, Nathalie Villa-Vialaneix:
Theoretical and Applied Aspects of the Self-Organizing Maps. WSOM 2016: 3-26 - [c15]Madalina Olteanu, Nathalie Villa-Vialaneix:
Sparse Online Self-Organizing Maps for Large Relational Data. WSOM 2016: 73-82 - 2015
- [j6]Madalina Olteanu, Nathalie Villa-Vialaneix:
On-line relational and multiple relational SOM. Neurocomputing 147: 15-30 (2015) - [c14]Nicolas Bourgeois, Marie Cottrell, Stéphane Lamassé, Madalina Olteanu:
Search for Meaning Through the Study of Co-occurrences in Texts. IWANN (2) 2015: 578-591 - 2014
- [c13]Jérôme Mariette, Madalina Olteanu, Julien Boelaert, Nathalie Villa-Vialaneix:
Bagged Kernel SOM. WSOM 2014: 45-54 - [c12]Julien Boelaert, Laura Bendhaiba, Madalina Olteanu, Nathalie Villa-Vialaneix:
SOMbrero: An R Package for Numeric and Non-numeric Self-Organizing Maps. WSOM 2014: 219-228 - 2013
- [c11]Madalina Olteanu, Nathalie Villa-Vialaneix, Christine Cierco-Ayrolles:
Multiple Kernel Self-Organizing Maps. ESANN 2013 - [c10]Sébastien Massoni, Madalina Olteanu, Nathalie Villa-Vialaneix:
Which Dissimilarity Is to Be Used When Extracting Typologies in Sequence Analysis? A Comparative Study. IWANN (1) 2013: 69-79 - 2012
- [j5]Marie Cottrell, Madalina Olteanu, Fabrice Rossi, Joseph Rynkiewicz, Nathalie Villa-Vialaneix:
Neural Networks for Complex Data. Künstliche Intell. 26(4): 373-380 (2012) - [c9]Madalina Olteanu, James Ridgway:
Hidden Markov models for time series of counts with excess zeros. ESANN 2012 - [c8]Madalina Olteanu, Nathalie Villa-Vialaneix, Marie Cottrell:
On-Line Relational SOM for Dissimilarity Data. WSOM 2012: 13-22 - [i2]Marie Cottrell, Madalina Olteanu, Fabrice Rossi, Joseph Rynkiewicz, Nathalie Villa-Vialaneix:
Neural Networks for Complex Data. CoRR abs/1210.6511 (2012) - [i1]Madalina Olteanu, Nathalie Villa-Vialaneix, Marie Cottrell:
On-line relational SOM for dissimilarity data. CoRR abs/1212.6316 (2012) - 2011
- [j4]Madalina Olteanu, Joseph Rynkiewicz:
Asymptotic properties of mixture-of-experts models. Neurocomputing 74(9): 1444-1449 (2011) - 2010
- [c7]Madalina Olteanu, Joseph Rynkiewicz:
Asymptotic properties of mixture-of-experts models. ESANN 2010
2000 – 2009
- 2009
- [j3]Frederic Austerlitz, Olivier David, Brigitte Schaeffer, Kevin Bleakley, Madalina Olteanu, Raphaël Leblois, Michel Veuille, Catherine Larédo:
DNA barcode analysis: a comparison of phylogenetic and statistical classification methods. BMC Bioinform. 10(S-14): 10 (2009) - [c6]Charles Bouveyron, Stéphane Girard, Madalina Olteanu:
Supervised classification of categorical data with uncertain labels for DNA barcoding. ESANN 2009 - [c5]Madalina Olteanu, Esther García-Garaluz, Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós:
Modelling Dengue Epidemics with Autoregressive Switching Markov Models (AR-HMM). IWANN (1) 2009: 886-892 - [c4]Sébastien Massoni, Madalina Olteanu, Patrick Rousset:
Career-Path Analysis Using Optimal Matching and Self-Organizing Maps. WSOM 2009: 154-162 - 2008
- [j2]Madalina Olteanu, Joseph Rynkiewicz:
Estimating the number of components in a mixture of multilayer perceptrons. Neurocomputing 71(7-9): 1321-1329 (2008) - 2007
- [c3]Madalina Olteanu, Joseph Rynkiewicz:
Estimating the Number of Components in a Mixture of Multilayer Perceptrons. ESANN 2007: 403-408 - [c2]Marie-Thérèse Boyer-Xambeu, Ghislain Deleplace, Patrice Gaubert, Lucien Gillard, Madalina Olteanu:
Mixing Kohonen Algorithm, Markov Switching Model and Detection of Multiple Change-Points: An Application to Monetary History. IWANN 2007: 547-555 - 2006
- [j1]Madalina Olteanu:
A descriptive method to evaluate the number of regimes in a switching autoregressive model. Neural Networks 19(6-7): 963-972 (2006) - 2004
- [c1]Bertrand Maillet, Madalina Olteanu, Joseph Rynkiewicz:
Non-linear Analysis of Shocks when Financial Markets are Subject to Changes in Regime. ESANN 2004: 87-92
Coauthor Index
aka: Nathalie Villa-Vialaneix
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