Marie Cottrell

According to our database1, Marie Cottrell authored at least 77 papers between 1993 and 2020.

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

Timeline

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Bibliography

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

Editorial.
Neural Comput. Appl., 2020

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

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

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

2015
Analysis of professional trajectories using disconnected self-organizing maps.
Neurocomputing, 2015

How to improve robustness in Kohonen maps and display additional information in Factorial Analysis: Application to text mining.
Neurocomputing, 2015

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

Search Strategies for Binary Feature Selection for a Naive Bayes Classifier.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014
Interpretable Aircraft Engine Diagnostic via Expert Indicator Aggregation.
Trans. Mach. Learn. Data Min., 2014

Anomaly Detection Based on Indicator Aggregation.
CoRR, 2014

Anomaly Detection Based on Confidence Intervals Using SOM with an Application to Health Monitoring.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

A Methodology for the Diagnostic of Aircraft Engine Based on Indicators Aggregation.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2014

Anomaly detection based on indicators aggregation.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA.
Adv. Data Anal. Classif., 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

Professional Trajectories of Workers Using Disconnected Self-Organizing Maps.
Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

Lexical Recount between Factor Analysis and Kohonen Map: Mathematical Vocabulary of Arithmetic in the Vernacular Language of the Late Middle Ages.
Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

Robust clustering of high-dimensional data.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
Aircraft Engine Fleet Monitoring Using Self-Organizing Maps and Edit Distance.
Proceedings of the Advances in Self-Organizing Maps - 8th International Workshop, 2011

2010
Trajectory Clustering for Vibration Detection in Aircraft Engines.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010

Aircraft Engine Health Monitoring Using Self-Organizing Maps.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010

Self Organizing Star (SOS) for health monitoring.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009
Fault Prediction in Aircraft Engines Using Self-Organizing Maps.
Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

2008
Fuzzy classification using information theoretic learning vector quantization.
Neurocomputing, 2008

2007
Forecasting the CATS benchmark with the Double Vector Quantization method.
Neurocomputing, 2007

Missing values : processing with the Kohonen algorithm
CoRR, 2007

Traitement Des Donnees Manquantes Au Moyen De L'Algorithme De Kohonen
CoRR, 2007

Consumer Profile Identification and Allocation.
Proceedings of the Computational and Ambient Intelligence, 2007

2006
Advances in Self-Organizing Maps.
Neural Networks, 2006

Batch and median neural gas.
Neural Networks, 2006

Working times in atypical forms of employment: the special case of part-time work
CoRR, 2006

Cartes auto-organisées pour l'analyse exploratoire de données et la visualisation
CoRR, 2006

Advances in Self Organising Maps
CoRR, 2006

Prototype Based Classification Using Information Theoretic Learning.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005
Time series forecasting: Obtaining long term trends with self-organizing maps.
Pattern Recognit. Lett., 2005

How to use the Kohonen algorithm to simultaneously analyze individuals and modalities in a survey.
Neurocomputing, 2005

New Aspects in Neurocomputing.
Neurocomputing, 2005

2004
Double quantization of the regressor space for long-term time series prediction: method and proof of stability.
Neural Networks, 2004

SOM-based algorithms for qualitative variables.
Neural Networks, 2004

On the use of self-organizing maps to accelerate vector quantization.
Neurocomputing, 2004

2003
Analyzing surveys using the Kohonen algorithm.
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

2002
Statistical tools to assess the reliability of self-organizing maps.
Neural Networks, 2002

Bootstrap for neural model selection.
Neurocomputing, 2002

Advantages and drawbacks of the Batch Kohonen algorithm.
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

Prediction of electric load using Kohonen maps - Application to the Polish electricity consumption.
Proceedings of the American Control Conference, 2002

2001
Modèles de réseaux de neurones pour l'analyse des séries temporelles ou la régression - Estimation, identification, méthode d'élagage SSM.
Rev. d'Intelligence Artif., 2001

A Statistical Tool to Assess the Reliability of Self-Organizing Maps.
Proceedings of the Advances in Self-Organising Maps, 2001

Neural Classification and "Traditional" Data Analysis: An Application to Households' Living Conditions.
Proceedings of the Bio-inspired Applications of Connectionism, 2001

Some known facts about financial data.
Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

Are they really neighbors? A statistical analysis of the SOM algorithm output.
Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001

2000
Bootstrapping Self-Organizing Maps to assess the statistical significance of local proximity.
Proceedings of the 8th European Symposium on Artificial Neural Networks, 2000

1999
Basic Competitive Neural Networks as Adaptive Mechanisms for Non-Stationary Colour Quantisation.
Neural Comput. Appl., 1999

Using the Kohonen algorithm for quick initialization of Simple Competitive Learning algorithm.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

1998
Theoretical aspects of the SOM algorithm.
Neurocomputing, 1998

Forecasting time-series by Kohonen classification.
Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998

1997
A Sensitivity Analysis of the Self Organizing Maps as an Adaptive One-pass Non-stationary Clustering Algorithm: the Case of Color Quantization of Image Sequences.
Neural Process. Lett., 1997

The Kohonen Algorithm: A Powerful Tool for Analyzing and Representing Multidimensional Quantitative and Qualitative Data.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

Long Term Forecasting by Combining Kohonen Algorithm and Standard Prevision.
Proceedings of the Artificial Neural Networks, 1997

A Powerful Tool for Fitting and Forecasting Deterministic and Stochastic Processes: The Kohonen Classification.
Proceedings of the Artificial Neural Networks, 1997

New criterion of identification in the multilayered perceptron modelling.
Proceedings of the 5th Eurorean Symposium on Artificial Neural Networks, 1997

Self organizing map for adaptive non-stationary clustering: some experimental results on color quantization of image sequences.
Proceedings of the 5th Eurorean Symposium on Artificial Neural Networks, 1997

Kohonen maps versus vector quantization for data analysis.
Proceedings of the 5th Eurorean Symposium on Artificial Neural Networks, 1997

1996
Understanding the leasing decision with the help of a Kohonen map. An empirical study of the Belgian market.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

A Kohonen map representation to avoid misleading interpretations.
Proceedings of the 4th European Symposium on Artificial Neural Networks, 1996

Analyzing shocks on the interest rate structure with Kohonen map.
Proceedings of the IEEE/IAFE 1996 Conference on Computational Intelligence for Financial Engineering, 1996

1995
Neural modeling for time series: A statistical stepwise method for weight elimination.
IEEE Trans. Neural Networks, 1995

Comments about "Analysis of the convergence properties of topology preserving neural networks".
IEEE Trans. Neural Networks, 1995

Competitive stochastic neural networks for Vector Quantization of images.
Neurocomputing, 1995

Daily Electrical Power Curves: Classification and Forecasting Using a Kohonen Map.
Proceedings of the From Natural to Artificial Neural Computation, 1995

Multiple correspondence analysis of a crosstabulations matrix using the Kohonen algorithm.
Proceedings of the 3rd European Symposium on Artificial Neural Networks, 1995

1994
Two or three things that we know about the Kohonen algorithm.
Proceedings of the 2nd European Symposium on Artificial Neural Networks, 1994

1993
Analysing a Contingency Table with Kohonen Maps: A Factorial Correspondence Analysis.
Proceedings of the New Trends in Neural Computation, 1993

Time series and neural: a statistical method for weight elimination.
Proceedings of the 1st European Symposium on Artificial Neural Networks, 1993


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