Madalina Olteanu

According to our database1, Madalina Olteanu authored at least 33 papers between 2004 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2020
Multidimensional urban segregation: toward a neural network measure.
Neural Comput. Appl., 2020

Editorial.
Neural Comput. Appl., 2020

Sparse K-means for mixed data via group-sparse clustering.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019
When Clustering the Multiscalar Fingerprint of the City Reveals Its Segregation Patterns.
Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019

Detection of Abnormal Flights Using Fickle Instances in SOM Maps.
Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019

Anomaly Detection for Bivariate Signals.
Proceedings of the Advances in Computational Intelligence, 2019

Analyzing spatial dissimilarities in high-resolution geo-data : a case study of four European cities.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2017
Efficient interpretable variants of online SOM for large dissimilarity data.
Neurocomputing, 2017

Using self-organizing maps for clustering anc labelling aircraft engine data phases.
Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017

Multidimensional urban segregation: An exploratory case study.
Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017

Hidden-Markov Models for Time Series of Continuous Proportions with Excess Zeros.
Proceedings of the Advances in Computational Intelligence, 2017

Accelerating stochastic kernel SOM.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016
Sparse Online Self-Organizing Maps for Large Relational Data.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016

Theoretical and Applied Aspects of the Self-Organizing Maps.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016

Comparison of three algorithms for parametric change-point detection.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015
On-line relational and multiple relational SOM.
Neurocomputing, 2015

Search for Meaning Through the Study of Co-occurrences in Texts.
Proceedings of the Advances in Computational Intelligence, 2015

2014
Bagged Kernel SOM.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

SOMbrero: An R Package for Numeric and Non-numeric Self-Organizing Maps.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

2013
Which Dissimilarity Is to Be Used When Extracting Typologies in Sequence Analysis? A Comparative Study.
Proceedings of the Advances in Computational Intelligence, 2013

Multiple Kernel Self-Organizing Maps.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012
Neural Networks for Complex Data.
Künstliche Intell., 2012

On-Line Relational SOM for Dissimilarity Data.
Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

Hidden Markov models for time series of counts with excess zeros.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
Asymptotic properties of mixture-of-experts models.
Neurocomputing, 2011

2009
DNA barcode analysis: a comparison of phylogenetic and statistical classification methods.
BMC Bioinform., 2009

Career-Path Analysis Using Optimal Matching and Self-Organizing Maps.
Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

Modelling Dengue Epidemics with Autoregressive Switching Markov Models (AR-HMM).
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Supervised classification of categorical data with uncertain labels for DNA barcoding.
Proceedings of the ESANN 2009, 2009

2008
Estimating the number of components in a mixture of multilayer perceptrons.
Neurocomputing, 2008

2007
Mixing Kohonen Algorithm, Markov Switching Model and Detection of Multiple Change-Points: An Application to Monetary History.
Proceedings of the Computational and Ambient Intelligence, 2007

2006
A descriptive method to evaluate the number of regimes in a switching autoregressive model.
Neural Networks, 2006

2004
Non-linear Analysis of Shocks when Financial Markets are Subject to Changes in Regime.
Proceedings of the ESANN 2004, 2004


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