Madalina Olteanu
According to our database1,
Madalina Olteanu
authored at least 36 papers
between 2004 and 2023.
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Bibliography
2023
2022
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022
2021
Handling Correlations in Random Forests: which Impacts on Variable Importance and Model Interpretability?
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
2020
Neural Comput. Appl., 2020
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
Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019
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
Neurocomputing, 2017
Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017
Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017
Proceedings of the Advances in Computational Intelligence, 2017
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
2016
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
2015
Proceedings of the Advances in Computational Intelligence, 2015
2014
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014
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
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
2012
Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
2011
2009
DNA barcode analysis: a comparison of phylogenetic and statistical classification methods.
BMC Bioinform., 2009
Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009
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 17th European Symposium on Artificial Neural Networks, 2009
2008
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 12th European Symposium on Artificial Neural Networks, 2004