A Feature Selection Methodology for Steganalysis. - Yoan Miche; Benoit Roue; Amaury Lendasse; Patrick Bas (MRCS, 2006)

Advantages of Using Feature Selection Techniques on Steganalysis Schemes. - Yoan Miche; Patrick Bas; Amaury Lendasse; Christian Jutten; Olli Simula (IWANN, 2007)

A Methodology for Building Regression Models using Extreme Learning Machine: OP-ELM. - Yoan Miche; Patrick Bas; Christian Jutten; Olli Simula; Amaury Lendasse (ESANN, 2008)

Optimal Pruned K-Nearest Neighbors: OP-KNN - Application to Financial Modeling. - Qi Yu 004; Antti Sorjamaa; Yoan Miche; Amaury Lendasse; Eric Séverin; Alberto Guillén; Fernando Mateo (HIS, 2008)

OP-ELM: Theory, Experiments and a Toolbox. - Yoan Miche; Antti Sorjamaa; Amaury Lendasse (ICANN (1), 2008)

Long-term prediction of time series using NNE-based projection and OP-ELM. - Antti Sorjamaa; Yoan Miche; Robert Weiss; Amaury Lendasse (IJCNN, 2008)

A faster model selection criterion for OP-ELM and OP-KNN: Hannan-Quinn criterion. - Yoan Miche; Amaury Lendasse (ESANN, 2009)

Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction. - Mark van Heeswijk; Yoan Miche; Tiina Lindh-Knuutila; Peter A. J. Hilbers; Timo Honkela; Erkki Oja; Amaury Lendasse (ICANN (2), 2009)

Efficient Parallel Feature Selection for Steganography Problems. - Alberto Guillén; Antti Sorjamaa; Yoan Miche; Amaury Lendasse; Ignacio Rojas (IWANN (1), 2009)

Sparse Linear Combination of SOMs for Data Imputation: Application to Financial Database. - Antti Sorjamaa; Francesco Corona; Yoan Miche; Paul Merlin; Bertrand Maillet; Eric Séverin; Amaury Lendasse (WSOM, 2009)

Reliable Steganalysis Using a Minimum Set of Samples and Features. - Yoan Miche; Patrick Bas; Amaury Lendasse; Christian Jutten; Olli Simula (EURASIP J. Inf. Secur., 2009)

Ensembles of Locally Linear Models: Application to Bankruptcy Prediction. - Laura Kainulainen; Qi Yu 004; Yoan Miche; Emil Eirola; Eric Séverin; Amaury Lendasse (DMIN, 2010)

Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs. - Mark van Heeswijk; Yoan Miche; Erkki Oja; Amaury Lendasse (ESANN, 2010)

Ensemble Modeling with a Constrained Linear System of Leave-One-Out Outputs. - Yoan Miche; Emil Eirola; Patrick Bas; Olli Simula; Christian Jutten; Amaury Lendasse; Michel Verleysen (ESANN, 2010)

Machine Learning Techniques based on Random Projections. - Yoan Miche; Benjamin Schrauwen; Amaury Lendasse (ESANN, 2010)

Interpreting Extreme Learning Machine as an Approximation to an Infinite Neural Network. - Elina Parviainen; Jaakko Riihimäki; Yoan Miche; Amaury Lendasse (KDIR, 2010)

OP-KNN: Method and Applications. - Qi Yu 004; Yoan Miché; Antti Sorjamaa; Alberto Guillén; Amaury Lendasse; Eric Séverin (Adv. Artif. Neural Syst., 2010)

OPELM and OPKNN in long-term prediction of time series using projected input data. - Dusan Sovilj; Antti Sorjamaa; Qi Yu 004; Yoan Miche; Eric Séverin (Neurocomputing, 2010)

OP-ELM: optimally pruned extreme learning machine. - Yoan Miche; Antti Sorjamaa; Patrick Bas; Olli Simula; Christian Jutten; Amaury Lendasse (IEEE Trans. Neural Networks, 2010)

Developing fast machine learning techniques with applications to steganalysis problems. - Yoan Miche (2010)

Methodology for Behavioral-based Malware Analysis and Detection Using Random Projections and K-Nearest Neighbors Classifiers. - Jozsef Hegedus; Yoan Miche; Alexander Ilin; Amaury Lendasse (CIS, 2011)

GPU-accelerated and parallelized ELM ensembles for large-scale regression. - Mark van Heeswijk; Yoan Miche; Erkki Oja; Amaury Lendasse (Neurocomputing, 2011)

TROP-ELM: A double-regularized ELM using LARS and Tikhonov regularization. - Yoan Miche; Mark van Heeswijk; Patrick Bas; Olli Simula; Amaury Lendasse (Neurocomputing, 2011)

Fast variable selection for memetracker phrases time series prediction. - Yoan Miche; Tatiana Chistiakova; Anton Akusok; Amaury Lendasse; Rui Nian; Alberto Guillén (PETRA, 2012)

Visualizing dependencies of spectral features using mutual information. - Andrej Gisbrecht; Yoan Miché; Barbara Hammer; Amaury Lendasse (ESANN, 2013)

Forecasting Financial Markets with Classified Tactical Signals. - Patrick Kouontchou; Amaury Lendasse; Yoan Miché; Bertrand Maillet (ESANN, 2013)

Minimal Learning Machine: A New Distance-Based Method for Supervised Learning. - Amauri Holanda de Souza Júnior; Francesco Corona; Yoan Miche; Amaury Lendasse; Guilherme A. Barreto; Olli Simula (IWANN (1), 2013)

Extreme Learning Machine: A Robust Modeling Technique? Yes! - Amaury Lendasse; Anton Akusok; Olli Simula; Francesco Corona; Mark van Heeswijk; Emil Eirola; Yoan Miche (IWANN (1), 2013)

Extreme Learning Machines. - Erik Cambria; Guang-Bin Huang; Liyanaarachchi Lekamalage Chamara Kasun; Hongming Zhou; Chi-Man Vong; Jiarun Lin; Jianping Yin; Zhiping Cai; Qiang Liu 004; Kuan Li; Victor C. M. Leung; Liang Feng 001; et al. (IEEE Intell. Syst., 2013)

Feature selection for nonlinear models with extreme learning machines. - Benoît Frénay; Mark van Heeswijk; Yoan Miche; Michel Verleysen; Amaury Lendasse (Neurocomputing, 2013)

Regularized extreme learning machine for regression with missing data. - Qi Yu 004; Yoan Miche; Emil Eirola; Mark van Heeswijk; Eric Séverin; Amaury Lendasse (Neurocomputing, 2013)

Compressive ELM: Improved Models through Exploiting Time-Accuracy Trade-Offs. - Mark van Heeswijk; Amaury Lendasse; Yoan Miché (EANN, 2014)

Finding Originally Mislabels with MD-ELM. - Anton Akusok; David Veganzones; Yoan Miché; Eric Séverin; Amaury Lendasse (ESANN, 2014)

A Two-Stage Methodology Using K-NN and False-Positive Minimizing ELM for Nominal Data Classification. - Anton Akusok; Yoan Miche; Jozsef Hegedus; Rui Nian; Amaury Lendasse (Cogn. Comput., 2014)

Fast Face Recognition Via Sparse Coding and Extreme Learning Machine. - Bo He 002; Dongxun Xu; Rui Nian; Mark van Heeswijk; Qi Yu 004; Yoan Miche; Amaury Lendasse (Cogn. Comput., 2014)

Advances in extreme learning machines (ELM2012). - Amaury Lendasse; Qing He; Yoan Miche; Guang-Bin Huang (Neurocomputing, 2014)

Extreme learning machine towards dynamic model hypothesis in fish ethology research. - Rui Nian; Bo He 002; Bing Zheng; Mark van Heeswijk; Qi Yu 004; Yoan Miche; Amaury Lendasse (Neurocomputing, 2014)

Ensemble delta test-extreme learning machine (DT-ELM) for regression. - Qi Yu 004; Mark van Heeswijk; Yoan Miche; Rui Nian; Bo He 002; Eric Séverin; Amaury Lendasse (Neurocomputing, 2014)

Bankruptcy prediction using Extreme Learning Machine and financial expertise. - Qi Yu 004; Yoan Miche; Eric Séverin; Amaury Lendasse (Neurocomputing, 2014)

Long-term time series prediction using OP-ELM. - Alexander Grigorievskiy; Yoan Miche; Anne-Mari Ventelä; Eric Séverin; Amaury Lendasse (Neural Networks, 2014)

Some dangers from 2G networks legacy support and a possible mitigation. - Dare Abodunrin; Yoan Miche; Silke Holtmanns (CNS, 2015)

Towards a Tomographic Index of Systemic Risk Measures. - Kaj-Mikael Björk; Patrick Kouontchou; Amaury Lendasse; Yoan Miché; Bertrand Maillet (ESANN, 2015)

Efficient Skin Segmentation via Neural Networks: HP-ELM and BD-SOM. - C. Swaney; Anton Akusok; Kaj-Mikael Björk; Yoan Miché; Amaury Lendasse (INNS Conference on Big Data, 2015)

Extreme Learning Machines for Multiclass Classification: Refining Predictions with Gaussian Mixture Models. - Emil Eirola; Andrey Gritsenko; Anton Akusok; Kaj-Mikael Björk; Yoan Miche; Dusan Sovilj; Rui Nian; Bo He 002; Amaury Lendasse (IWANN (2), 2015)

Efficient Detection of Zero-day Android Malware Using Normalized Bernoulli Naive Bayes. - Luiza Sayfullina; Emil Eirola; Dmitry Komashinsky; Paolo Palumbo; Yoan Miché; Amaury Lendasse; Juha Karhunen (TrustCom/BigDataSE/ISPA (1), 2015)

High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications. - Anton Akusok; Kaj-Mikael Björk; Yoan Miché; Amaury Lendasse (IEEE Access, 2015)

Arbitrary Category Classification of Websites Based on Image Content. - Anton Akusok; Yoan Miche; Juha Karhunen; Kaj-Mikael Björk; Rui Nian; Amaury Lendasse (IEEE Comput. Intell. Mag., 2015)

MD-ELM: Originally Mislabeled Samples Detection using OP-ELM Model. - Anton Akusok; David Veganzones; Yoan Miché; Kaj-Mikael Björk; Philippe du Jardin; Eric Séverin; Amaury Lendasse (Neurocomputing, 2015)

Binary/ternary extreme learning machines. - Mark van Heeswijk; Yoan Miche (Neurocomputing, 2015)

Minimal Learning Machine: A novel supervised distance-based approach for regression and classification. - Amauri Holanda de Souza Júnior; Francesco Corona; Guilherme De A. Barreto; Yoan Miché; Amaury Lendasse (Neurocomputing, 2015)

Advances in Extreme Learning Machines (ELM2013). - Amaury Lendasse; Qing He; Yoan Miché; Guang-Bin Huang (Neurocomputing, 2015)

SOM-ELM - Self-Organized Clustering using ELM. - Yoan Miché; Anton Akusok; David Veganzones; Kaj-Mikael Björk; Eric Séverin; Philippe du Jardin; Maite Termenon; Amaury Lendasse (Neurocomputing, 2015)

Meme representations for game agents. - Yoan Miche; Meng-Hiot Lim; Amaury Lendasse; Yew-Soon Ong (World Wide Web, 2015)

Data Anonymization as a Vector Quantization Problem: Control Over Privacy for Health Data. - Yoan Miché; Ian Oliver; Silke Holtmanns; Aapo Kalliola; Anton Akusok; Amaury Lendasse; Kaj-Mikael Björk (CD-ARES, 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. - Patrick Kouontchou; Amaury Lendasse; Yoan Miché; Alejandro Modesto; Peter Sarlin; Bertrand Maillet (HICSS, 2016)

Combined nonlinear visualization and classification: ELMVIS++C. - Andrey Gritsenko; Anton Akusok; Yoan Miché; Kaj-Mikael Björk; Stephen Baek; Amaury Lendasse (IJCNN, 2016)

A new application of machine learning in health care. - Kaj-Mikael Björk; Emil Eirola; Yoan Miché; Amaury Lendasse (PETRA, 2016)

On the Development of a Metric for Quality of Information Content over Anonymised Data-Sets. - Ian Oliver; Yoan Miché (QUATIC, 2016)

ELMVIS+: Fast nonlinear visualization technique based on cosine distance and extreme learning machines. - Anton Akusok; Stephen Baek; Yoan Miché; Kaj-Mikael Björk; Rui Nian; Paula Lauren; Amaury Lendasse (Neurocomputing, 2016)

Brain MRI morphological patterns extraction tool based on Extreme Learning Machine and majority vote classification. - Maite Termenon; Manuel Graña; Alexandre Savio; Anton Akusok; Yoan Miche; Kaj-Mikael Björk; Amaury Lendasse (Neurocomputing, 2016)

Singular Value Decomposition update and its application to (Inc)-OP-ELM. - Alexander Grigorievskiy; Yoan Miche; Maarit Käpylä; Amaury Lendasse (Neurocomputing, 2016)

Advances in extreme learning machines (ELM2014). - Amaury Lendasse; Chi-Man Vong; Yoan Miche; Guang-Bin Huang (Neurocomputing, 2016)

Extreme learning machine for missing data using multiple imputations. - Dusan Sovilj; Emil Eirola; Yoan Miche; Kaj-Mikael Björk; Rui Nian; Anton Akusok; Amaury Lendasse (Neurocomputing, 2016)

Practical Estimation of Mutual Information on Non-Euclidean Spaces. - Yoan Miche; Ian Oliver; Wei Ren; Silke Holtmanns; Anton Akusok; Amaury Lendasse (CD-MAKE, 2017)

On Distance Mapping from non-Euclidean Spaces to Euclidean Spaces. - Wei Ren; Yoan Miche; Ian Oliver; Silke Holtmanns; Kaj-Mikael Björk; Amaury Lendasse (CD-MAKE, 2017)

Advanced query strategies for Active Learning with Extreme Learning Machines. - Anton Akusok; Emil Eirola; Yoan Miché; Andrey Gritsenko; Amaury Lendasse (ESANN, 2017)

Testbed for security orchestration in a network function virtualization environment. - Aapo Kalliola; Shankar Lal; Kimmo Ahola; Ian Oliver; Yoan Miche; Silke Holtmanns (NFV-SDN, 2017)

Subscriber Profile Extraction and Modification via Diameter Interconnection. - Silke Holtmanns; Yoan Miche; Ian Oliver (NSS, 2017)

Experiences in Trusted Cloud Computing. - Ian Oliver; Silke Holtmanns; Yoan Miche; Shankar Lal; Leo Hippeläinen; Aapo Kalliola; Sowmya Ravidas (NSS, 2017)

Brute-force Missing Data Extreme Learning Machine for Predicting Huntington's Disease. - Anton Akusok; Emil Eirola; Kaj-Mikael Björk; Yoan Miché; Hans J. Johnson; Amaury Lendasse (PETRA, 2017)

Adding reliability to ELM forecasts by confidence intervals. - Anton Akusok; Andrey Gritsenko; Yoan Miche; Kaj-Mikael Björk; Rui Nian; Paula Lauren; Amaury Lendasse (Neurocomputing, 2017)

Advances in extreme learning machines (ELM2015). - Amaury Lendasse; Chi-Man Vong; Kar-Ann Toh; Yoan Miche; Guang-Bin Huang (Neurocomputing, 2017)

Security Wrapper Orchestration in Cloud. - Aapo Kalliola; Shankar Lal; Kimmo Ahola; Ian Oliver; Yoan Miche; Tuomas Aura (ARES, 2018)

ELM-SOM: A Continuous Self-Organizing Map for Visualization. - Renjie Hu; Venous Roshdibenam; Hans J. Johnson; Emil Eirola; Anton Akusok; Yoan Miche; Kaj-Mikael Björk; Amaury Lendasse (IJCNN, 2018)

A Model for Metricising Privacy and Legal Compliance. - Ian Oliver; Yoan Miche; Wei Ren (QUATIC, 2018)

A Testbed for Trusted Telecommunications Systems in a Safety Critical Environment. - Ian Oliver; Aapo Kalliola; Silke Holtmanns; Yoan Miche; Gabriela Limonta; Borger Vigmostad; Kiti Müller (SAFECOMP Workshops, 2018)

Network Intrusion Detection Using Flow Statistics. - Buse Gul Atli; Yoan Miche; Alexander Jung (SSP, 2018)

Anomaly-Based Intrusion Detection Using Extreme Learning Machine and Aggregation of Network Traffic Statistics in Probability Space. - Buse Gul Atli; Yoan Miche; Aapo Kalliola; Ian Oliver; Silke Holtmanns; Amaury Lendasse (Cogn. Comput., 2018)

Extreme Learning Machines for VISualization+R: Mastering Visualization with Target Variables. - Andrey Gritsenko; Anton Akusok; Stephen Baek; Yoan Miche; Amaury Lendasse (Cogn. Comput., 2018)

Adaptive and online network intrusion detection system using clustering and Extreme Learning Machines. - Setareh Roshan; Yoan Miche; Anton Akusok; Amaury Lendasse (J. Frankl. Inst., 2018)

Mobile Subscriber Profile Data Privacy Breach via 4G Diameter Interconnection. - Silke Holtmanns; Ian Oliver; Yoan Miche (J. ICT Stand., 2018)

Secure Keying Scheme for Network Slicing in 5G Architecture. - Pawani Porambage; Yoan Miche; Aapo Kalliola; Madhusanka Liyanage; Mika Ylianttila (CSCN, 2019)

Spiking networks for improved cognitive abilities of edge computing devices. - Anton Akusok; Kaj-Mikael Björk; Leonardo Espinosa Leal; Yoan Miche; Renjie Hu; Amaury Lendasse (PETRA, 2019)

Prototyping a Digital Twin for Real Time Remote Control Over Mobile Networks: Application of Remote Surgery. - Heikki Laaki; Yoan Miche; Kari Tammi (IEEE Access, 2019)

A Framework for Privacy Quantification: Measuring the Impact of Privacy Techniques Through Mutual Information, Distance Mapping, and Machine Learning. - Yoan Miche; Wei Ren; Ian Oliver; Silke Holtmanns; Amaury Lendasse (Cogn. Comput., 2019)

Incremental ELMVIS for unsupervised learning. - Anton Akusok; Emil Eirola; Yoan Miche; Ian Oliver; Kaj-Mikael Björk; Andrey Gritsenko; Stephen Baek; Amaury Lendasse (CoRR, 2019)

ELM-SOM+: A continuous mapping for visualization. - Renjie Hu; Karl Ratner; Edward R. Ratner; Yoan Miche; Kaj-Mikael Björk; Amaury Lendasse (Neurocomputing, 2019)

Per-sample prediction intervals for extreme learning machines. - Anton Akusok; Yoan Miche; Kaj-Mikael Björk; Amaury Lendasse (Int. J. Mach. Learn. Cybern., 2019)

Security policies definition and enforcement utilizing policy control function framework in 5G. - German Peinado Gomez; Jordi Mongay Batalla; Yoan Miche; Silke Holtmanns; Constandinos X. Mavromoustakis; George Mastorakis; Noman Haider (Comput. Commun., 2021)

Guest Editorial: Trust, Security and Privacy of 6G. - Zheng Yan 002; Laurence T. Yang; Tieyan Li; Yoan Miche; Shui Yu 001; Stephen S. Yau (IEEE Netw., 2022)

The Evolution of Networks and Management in a 6G World: An Inventor's View. - Gerald M. Karam; Markus Gruber; Iris Adam; François Boutigny; Yoan Miche; Sarit Mukherjee (IEEE Trans. Netw. Serv. Manag., 2022)