Madalina Olteanu

44 papers B 12Misc 1Journal 14Unranked 16

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Sparse Clustering with K-Means - Which Penalties and for Which Data? WSOM+ Marie Chavent, Marie Cottrell, Alex Mourer, Madalina Olteanu
2023	J	`jnl`	Meta-survey on outlier and anomaly detection. CoRR Madalina Olteanu, Fabrice Rossi, Florian Yger
2023	J	`jnl`	Meta-survey on outlier and anomaly detection. Neurocomputing Madalina Olteanu, Fabrice Rossi, Florian Yger
2022	B	`conf`	Challenges in anomaly and change point detection. ESANN Madalina Olteanu, Fabrice Rossi, Florian Yger
2022	J	`jnl`	Challenges in anomaly and change point detection. CoRR Madalina Olteanu, Fabrice Rossi, Florian Yger
2021	B	`conf`	Handling Correlations in Random Forests: which Impacts on Variable Importance and Model Interpretability? ESANN Marie Chavent, Jérôme Lacaille, Alex Mourer, Madalina Olteanu
2020	J	`jnl`	Editorial. Neural Comput. Appl. Jean-Charles Lamirel, Marie Cottrell, Madalina Olteanu, Bruno Lévy
2020	J	`jnl`	Multidimensional urban segregation: toward a neural network measure. Neural Comput. Appl. Madalina Olteanu, Aurélien Hazan, Marie Cottrell, Julien Randon-Furling
2020	B	`conf`	Sparse K-means for mixed data via group-sparse clustering. ESANN Marie Chavent, Jérôme Lacaille, Alex Mourer, Madalina Olteanu
2019	B	`conf`	Analyzing spatial dissimilarities in high-resolution geo-data : a case study of four European cities. ESANN Julien Randon-Furling, William Clark, Madalina Olteanu
2019	—	`conf`	Anomaly Detection for Bivariate Signals. IWANN (1) Marie Cottrell, Cynthia Faure, Jérôme Lacaille, Madalina Olteanu
2019	—	`conf`	Detection of Abnormal Flights Using Fickle Instances in SOM Maps. WSOM+ Marie Cottrell, Cynthia Faure, Jérôme Lacaille, Madalina Olteanu
2019	—	`conf`	When Clustering the Multiscalar Fingerprint of the City Reveals Its Segregation Patterns. WSOM+ Madalina Olteanu, Jean-Charles Lamirel
2017	—	`ed.`	12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization, WSOM 2017, Nancy, France, June 28-30, 2017 WSOM Jean-Charles Lamirel, Marie Cottrell, Madalina Olteanu
2017	B	`conf`	Accelerating stochastic kernel SOM. ESANN Jérôme Mariette, Fabrice Rossi, Madalina Olteanu, Nathalie Villa-Vialaneix
2017	J	`jnl`	Efficient interpretable variants of online SOM for large dissimilarity data. Neurocomputing Jérôme Mariette, Madalina Olteanu, Nathalie Villa-Vialaneix
2017	—	`conf`	Hidden-Markov Models for Time Series of Continuous Proportions with Excess Zeros. IWANN (2) Julien Alerini, Marie Cottrell, Madalina Olteanu
2017	—	`conf`	Multidimensional urban segregation: An exploratory case study. WSOM Marie Cottrell, Madalina Olteanu, Julien Randon-Furling, Aurélien Hazan
2017	—	`conf`	Using self-organizing maps for clustering anc labelling aircraft engine data phases. WSOM Cynthia Faure, Madalina Olteanu, Jean-Marc Bardet, Jérôme Lacaille
2016	B	`conf`	Comparison of three algorithms for parametric change-point detection. ESANN Cynthia Faure, Jean-Marc Bardet, Madalina Olteanu, Jérôme Lacaille
2016	—	`conf`	Sparse Online Self-Organizing Maps for Large Relational Data. WSOM Madalina Olteanu, Nathalie Villa-Vialaneix
2016	—	`conf`	Theoretical and Applied Aspects of the Self-Organizing Maps. WSOM Marie Cottrell, Madalina Olteanu, Fabrice Rossi, Nathalie Villa-Vialaneix
2015	J	`jnl`	On-line relational and multiple relational SOM. Neurocomputing Madalina Olteanu, Nathalie Villa-Vialaneix
2015	—	`conf`	Search for Meaning Through the Study of Co-occurrences in Texts. IWANN (2) Nicolas Bourgeois, Marie Cottrell, Stéphane Lamassé, Madalina Olteanu
2014	—	`conf`	Bagged Kernel SOM. WSOM Jérôme Mariette, Madalina Olteanu, Julien Boelaert, Nathalie Villa-Vialaneix
2014	—	`conf`	SOMbrero: An R Package for Numeric and Non-numeric Self-Organizing Maps. WSOM Julien Boelaert, Laura Bendhaiba, Madalina Olteanu, Nathalie Villa-Vialaneix
2013	B	`conf`	Multiple Kernel Self-Organizing Maps. ESANN Madalina Olteanu, Nathalie Villa-Vialaneix, Christine Cierco-Ayrolles
2013	—	`conf`	Which Dissimilarity Is to Be Used When Extracting Typologies in Sequence Analysis? A Comparative Study. IWANN (1) Sébastien Massoni, Madalina Olteanu, Nathalie Villa-Vialaneix
2012	B	`conf`	Hidden Markov models for time series of counts with excess zeros. ESANN Madalina Olteanu, James Ridgway
2012	J	`jnl`	Neural Networks for Complex Data CoRR Marie Cottrell, Madalina Olteanu, Fabrice Rossi, Joseph Rynkiewicz, Nathalie Villa-Vialaneix
2012	J	`jnl`	Neural Networks for Complex Data. Künstliche Intell. Marie Cottrell, Madalina Olteanu, Fabrice Rossi, Joseph Rynkiewicz, Nathalie Villa-Vialaneix
2012	—	`conf`	On-Line Relational SOM for Dissimilarity Data. WSOM Madalina Olteanu, Nathalie Villa-Vialaneix, Marie Cottrell
2012	J	`jnl`	On-line relational SOM for dissimilarity data CoRR Madalina Olteanu, Nathalie Villa-Vialaneix, Marie Cottrell
2011	J	`jnl`	Asymptotic properties of mixture-of-experts models. Neurocomputing Madalina Olteanu, Joseph Rynkiewicz
2010	B	`conf`	Asymptotic properties of mixture-of-experts models. ESANN Madalina Olteanu, Joseph Rynkiewicz
2009	—	`conf`	Career-Path Analysis Using Optimal Matching and Self-Organizing Maps. WSOM Sébastien Massoni, Madalina Olteanu, Patrick Rousset
2009	J	`jnl`	DNA barcode analysis: a comparison of phylogenetic and statistical classification methods. BMC Bioinform. Frederic Austerlitz, Olivier David, Brigitte Schaeffer, Kevin Bleakley, Madalina Olteanu, Raphaël Leblois, Michel Veuille, Catherine Larédo
2009	—	`conf`	Modelling Dengue Epidemics with Autoregressive Switching Markov Models (AR-HMM). IWANN (1) Madalina Olteanu, Esther García-Garaluz, Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós
2009	B	`conf`	Supervised classification of categorical data with uncertain labels for DNA barcoding. ESANN Charles Bouveyron, Stéphane Girard, Madalina Olteanu
2008	J	`jnl`	Estimating the number of components in a mixture of multilayer perceptrons. Neurocomputing Madalina Olteanu, Joseph Rynkiewicz
2007	B	`conf`	Estimating the Number of Components in a Mixture of Multilayer Perceptrons. ESANN Madalina Olteanu, Joseph Rynkiewicz
2007	Misc	`conf`	Mixing Kohonen Algorithm, Markov Switching Model and Detection of Multiple Change-Points: An Application to Monetary History. IWANN Marie-Thérèse Boyer-Xambeu, Ghislain Deleplace, Patrice Gaubert, Lucien Gillard, Madalina Olteanu
2006	J	`jnl`	A descriptive method to evaluate the number of regimes in a switching autoregressive model. Neural Networks Madalina Olteanu
2004	B	`conf`	Non-linear Analysis of Shocks when Financial Markets are Subject to Changes in Regime. ESANN Bertrand Maillet, Madalina Olteanu, Joseph Rynkiewicz