Madalina Olteanu

发表

Career-path analysis using drifting Markov models (DMM) and self-organizing maps

Sébastien Massoni, Madalina Olteanu, Patrick Rousset, 2010 .

Hidden Markov models for time series of counts with excess zeros

Madalina Olteanu, James Ridgway, Madalina Olteanu, 2012, ESANN.

Automatic Indexation of Turbofan Data to Identify Anomalous Behaviors

Madalina Olteanu, Marie Cottrell, Jérôme Lacaille, 2019 .

Bagged Kernel SOM

Madalina Olteanu, Nathalie Villa-Vialaneix, Jérôme Mariette, 2014, WSOM.

Sequential indexation of flight data

Madalina Olteanu, Jérôme Lacaille, Cynthia Faure, 2018, 2018 IEEE Aerospace Conference.

Anomaly Detection for Bivariate Signals

Madalina Olteanu, Marie Cottrell, Jérôme Lacaille, 2019, IWANN.

Non-linear Analysis of Shocks when Financial Markets are Subject to Changes in Regime

Madalina Olteanu, Bertrand Maillet, Joseph Rynkiewicz, 2004, ESANN.

A descriptive method to evaluate the number of regimes in a switching autoregressive model

Madalina Olteanu, Madalina Olteanu, 2006, Neural Networks.

From Urban Segregation to Multifocal Pattern Detection

Madalina Olteanu, Julien Randon-Furling, Antoine Lucquiaud, 2017 .

Supervised classification of categorical data with uncertain labels for DNA barcoding

Charles Bouveyron, Stéphane Girard, Madalina Olteanu, 2009, ESANN.

Search for Meaning Through the Study of Co-occurrences in Texts

Madalina Olteanu, Marie Cottrell, Stéphane Lamassé, 2015, IWANN.

Combining Markov Switching Models and the Detection of Change-Points with the SOM Algorithm to Explain a Temporal Process

Madalina Olteanu, Marie-Thérèse Boyer-Xambeu, Ghislain Deleplace, 2008 .

On the use of self-organizing maps for the representation of Barcoding data : an application to Hylomyscus data

Madalina Olteanu, Catherine Laredo, Violaine Nicolas, 2010 .

Detection of Abnormal Flights Using Fickle Instances in SOM Maps

Madalina Olteanu, Marie Cottrell, Jérôme Lacaille, 2019, WSOM+.

Career-Path Analysis Using Optimal Matching and Self-Organizing Maps

Sébastien Massoni, Madalina Olteanu, Patrick Rousset, 2009, WSOM.

Asymptotic properties of mixture-of-experts models

Madalina Olteanu, Joseph Rynkiewicz, 2010, ESANN.

When Clustering the Multiscalar Fingerprint of the City Reveals Its Segregation Patterns

Jean-Charles Lamirel, Madalina Olteanu, 2019, WSOM+.

An application of regime-switching models to historical data

Madalina Olteanu, James Ridgway, Julien Alerini, 2012 .

Unsupervised learning for panel data

Madalina Olteanu, Pierre Alpi, Julide Yilmaz, 2016 .

Multidimensional urban segregation: toward a neural network measure

Madalina Olteanu, Marie Cottrell, Aurélien Hazan, 2017, Neural Computing and Applications.

Kohonen Maps and TS Algorithms: Clear Convergence

Madalina Olteanu, Marie-Thérèse Boyer-Xambeu, Patrice Gaubert, 2008 .

Comparison of three algorithms for parametric change-point detection

Madalina Olteanu, Jérôme Lacaille, Jean-Marc Bardet, 2016, ESANN.

Hidden-Markov Models for Time Series of Continuous Proportions with Excess Zeros

Madalina Olteanu, Marie Cottrell, Julien Alerini, 2017, IWANN.

Estimating the Number of Components in a Mixture of Multilayer Perceptrons

Madalina Olteanu, Joseph Rynkiewicz, Madalina Olteanu, 2008, ESANN.

Design Aircraft Engine Bivariate Data Phases using Change-Point Detection Method and Self-Organizing Maps

Madalina Olteanu, Jérôme Lacaille, Jean-Marc Bardet, 2017 .

Unequal time series clustering applied on flight data

Madalina Olteanu, Jérôme Lacaille, Jean-Marc Bardet, 2017 .

DNA barcode analysis: a comparison of phylogenetic and statistical classification methods

Olivier David, Madalina Olteanu, Kevin Bleakley, 2009, BMC Bioinformatics.

Using self-organizing maps for clustering anc labelling aircraft engine data phases

Madalina Olteanu, Jérôme Lacaille, Jean-Marc Bardet, 2017, 2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM).

Handling Correlations in Random Forests: which Impacts on Variable Importance and Model Interpretability?

Marie Chavent, Madalina Olteanu, Jérôme Lacaille, 2021, ESANN 2021 proceedings.

Kernel and Dissimilarity Methods for Exploratory Analysis in a Social Context

Madalina Olteanu, Nathalie Vialaneix, Jérôme Mariette, 2021, Advances in Contemporary Statistics and Econometrics.

Segregation through the multiscalar lens

Madalina Olteanu, William A. V. Clark, Julien Randon-Furling, 2019, Proceedings of the National Academy of Sciences.