Yoan Miché

Orcid: 0000-0001-8864-2312

According to our database1, Yoan Miché authored at least 91 papers between 2006 and 2022.

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Bibliography

2022
The Evolution of Networks and Management in a 6G World: An Inventor's View.
IEEE Trans. Netw. Serv. Manag., December, 2022

Guest Editorial: Trust, Security and Privacy of 6G.
IEEE Netw., 2022

2021
Security policies definition and enforcement utilizing policy control function framework in 5G.
Comput. Commun., 2021

2019
Per-sample prediction intervals for extreme learning machines.
Int. J. Mach. Learn. Cybern., 2019

ELM-SOM+: A continuous mapping for visualization.
Neurocomputing, 2019

Incremental ELMVIS for unsupervised learning.
CoRR, 2019

A Framework for Privacy Quantification: Measuring the Impact of Privacy Techniques Through Mutual Information, Distance Mapping, and Machine Learning.
Cogn. Comput., 2019

Prototyping a Digital Twin for Real Time Remote Control Over Mobile Networks: Application of Remote Surgery.
IEEE Access, 2019

Spiking networks for improved cognitive abilities of edge computing devices.
Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2019

Secure Keying Scheme for Network Slicing in 5G Architecture.
Proceedings of the 2019 IEEE Conference on Standards for Communications and Networking, 2019

2018
Mobile Subscriber Profile Data Privacy Breach via 4G Diameter Interconnection.
J. ICT Stand., 2018

Adaptive and online network intrusion detection system using clustering and Extreme Learning Machines.
J. Frankl. Inst., 2018

Extreme Learning Machines for VISualization+R: Mastering Visualization with Target Variables.
Cogn. Comput., 2018

Anomaly-Based Intrusion Detection Using Extreme Learning Machine and Aggregation of Network Traffic Statistics in Probability Space.
Cogn. Comput., 2018

Network Intrusion Detection Using Flow Statistics.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

A Testbed for Trusted Telecommunications Systems in a Safety Critical Environment.
Proceedings of the Computer Safety, Reliability, and Security, 2018

A Model for Metricising Privacy and Legal Compliance.
Proceedings of the 11th International Conference on the Quality of Information and Communications Technology, 2018

ELM-SOM: A Continuous Self-Organizing Map for Visualization.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Security Wrapper Orchestration in Cloud.
Proceedings of the 13th International Conference on Availability, Reliability and Security, 2018

2017
Advances in extreme learning machines (ELM2015).
Neurocomputing, 2017

Adding reliability to ELM forecasts by confidence intervals.
Neurocomputing, 2017

Brute-force Missing Data Extreme Learning Machine for Predicting Huntington's Disease.
Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments, 2017

Experiences in Trusted Cloud Computing.
Proceedings of the Network and System Security - 11th International Conference, 2017

Subscriber Profile Extraction and Modification via Diameter Interconnection.
Proceedings of the Network and System Security - 11th International Conference, 2017

Testbed for security orchestration in a network function virtualization environment.
Proceedings of the 2017 IEEE Conference on Network Function Virtualization and Software Defined Networks, 2017

Advanced query strategies for Active Learning with Extreme Learning Machines.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

On Distance Mapping from non-Euclidean Spaces to Euclidean Spaces.
Proceedings of the Machine Learning and Knowledge Extraction, 2017

Practical Estimation of Mutual Information on Non-Euclidean Spaces.
Proceedings of the Machine Learning and Knowledge Extraction, 2017

2016
Extreme learning machine for missing data using multiple imputations.
Neurocomputing, 2016

Advances in extreme learning machines (ELM2014).
Neurocomputing, 2016

Singular Value Decomposition update and its application to (Inc)-OP-ELM.
Neurocomputing, 2016

Brain MRI morphological patterns extraction tool based on Extreme Learning Machine and majority vote classification.
Neurocomputing, 2016

ELMVIS+: Fast nonlinear visualization technique based on cosine distance and extreme learning machines.
Neurocomputing, 2016

On the Development of a Metric for Quality of Information Content over Anonymised Data-Sets.
Proceedings of the 10th International Conference on the Quality of Information and Communications Technology, 2016

A new application of machine learning in health care.
Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2016

Combined nonlinear visualization and classification: ELMVIS++C.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A R-SOM Analysis of the Link between Financial Market Conditions and a Systemic Risk Index Based on ICA-Factors of Systemic Risk Measures.
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

Data Anonymization as a Vector Quantization Problem: Control Over Privacy for Health Data.
Proceedings of the Availability, Reliability, and Security in Information Systems, 2016

2015
Meme representations for game agents.
World Wide Web, 2015

SOM-ELM - Self-Organized Clustering using ELM.
Neurocomputing, 2015

Advances in Extreme Learning Machines (ELM2013).
Neurocomputing, 2015

Minimal Learning Machine: A novel supervised distance-based approach for regression and classification.
Neurocomputing, 2015

Binary/ternary extreme learning machines.
Neurocomputing, 2015

MD-ELM: Originally Mislabeled Samples Detection using OP-ELM Model.
Neurocomputing, 2015

Arbitrary Category Classification of Websites Based on Image Content.
IEEE Comput. Intell. Mag., 2015

High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications.
IEEE Access, 2015

Efficient Detection of Zero-day Android Malware Using Normalized Bernoulli Naive Bayes.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Extreme Learning Machines for Multiclass Classification: Refining Predictions with Gaussian Mixture Models.
Proceedings of the Advances in Computational Intelligence, 2015

Efficient Skin Segmentation via Neural Networks: HP-ELM and BD-SOM.
Proceedings of the INNS Conference on Big Data 2015, 2015

Towards a Tomographic Index of Systemic Risk Measures.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Some dangers from 2G networks legacy support and a possible mitigation.
Proceedings of the 2015 IEEE Conference on Communications and Network Security, 2015

2014
Long-term time series prediction using OP-ELM.
Neural Networks, 2014

Bankruptcy prediction using Extreme Learning Machine and financial expertise.
Neurocomputing, 2014

Ensemble delta test-extreme learning machine (DT-ELM) for regression.
Neurocomputing, 2014

Extreme learning machine towards dynamic model hypothesis in fish ethology research.
Neurocomputing, 2014

Advances in extreme learning machines (ELM2012).
Neurocomputing, 2014

Fast Face Recognition Via Sparse Coding and Extreme Learning Machine.
Cogn. Comput., 2014

A Two-Stage Methodology Using K-NN and False-Positive Minimizing ELM for Nominal Data Classification.
Cogn. Comput., 2014

Finding Originally Mislabels with MD-ELM.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Compressive ELM: Improved Models through Exploiting Time-Accuracy Trade-Offs.
Proceedings of the Engineering Applications of Neural Networks, 2014

2013
Regularized extreme learning machine for regression with missing data.
Neurocomputing, 2013

Feature selection for nonlinear models with extreme learning machines.
Neurocomputing, 2013

Extreme Learning Machines.
IEEE Intell. Syst., 2013

Extreme Learning Machine: A Robust Modeling Technique? Yes!
Proceedings of the Advances in Computational Intelligence, 2013

Minimal Learning Machine: A New Distance-Based Method for Supervised Learning.
Proceedings of the Advances in Computational Intelligence, 2013

Forecasting Financial Markets with Classified Tactical Signals.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Visualizing dependencies of spectral features using mutual information.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012
Fast variable selection for memetracker phrases time series prediction.
Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments, 2012

2011
TROP-ELM: A double-regularized ELM using LARS and Tikhonov regularization.
Neurocomputing, 2011

GPU-accelerated and parallelized ELM ensembles for large-scale regression.
Neurocomputing, 2011

Methodology for Behavioral-based Malware Analysis and Detection Using Random Projections and K-Nearest Neighbors Classifiers.
Proceedings of the Seventh International Conference on Computational Intelligence and Security, 2011

2010
Developing fast machine learning techniques with applications to steganalysis problems.
PhD thesis, 2010

OP-ELM: optimally pruned extreme learning machine.
IEEE Trans. Neural Networks, 2010

OPELM and OPKNN in long-term prediction of time series using projected input data.
Neurocomputing, 2010

OP-KNN: Method and Applications.
Adv. Artif. Neural Syst., 2010

Interpreting Extreme Learning Machine as an Approximation to an Infinite Neural Network.
Proceedings of the KDIR 2010, 2010

Machine Learning Techniques based on Random Projections.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

Ensemble Modeling with a Constrained Linear System of Leave-One-Out Outputs.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

Ensembles of Locally Linear Models: Application to Bankruptcy Prediction.
Proceedings of The 2010 International Conference on Data Mining, 2010

2009
Reliable Steganalysis Using a Minimum Set of Samples and Features.
EURASIP J. Inf. Secur., 2009

Sparse Linear Combination of SOMs for Data Imputation: Application to Financial Database.
Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

Efficient Parallel Feature Selection for Steganography Problems.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction.
Proceedings of the Artificial Neural Networks, 2009

A faster model selection criterion for OP-ELM and OP-KNN: Hannan-Quinn criterion.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2008
Long-term prediction of time series using NNE-based projection and OP-ELM.
Proceedings of the International Joint Conference on Neural Networks, 2008

OP-ELM: Theory, Experiments and a Toolbox.
Proceedings of the Artificial Neural Networks, 2008

Optimal Pruned K-Nearest Neighbors: OP-KNN - Application to Financial Modeling.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

A Methodology for Building Regression Models using Extreme Learning Machine: OP-ELM.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2007
Advantages of Using Feature Selection Techniques on Steganalysis Schemes.
Proceedings of the Computational and Ambient Intelligence, 2007

2006
A Feature Selection Methodology for Steganalysis.
Proceedings of the Multimedia Content Representation, 2006


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