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2020 – today
- 2022
[j42]Zheng Yan, Laurence T. Yang, Tieyan Li, Yoan Miche, Shui Yu
, Stephen S. Yau:
Guest Editorial: Trust, Security and Privacy of 6G. IEEE Netw. 36(4): 100-102 (2022)- [j41]Gerald M. Karam, Markus Gruber, Iris Adam, François Boutigny, Yoan Miche, Sarit Mukherjee:
The Evolution of Networks and Management in a 6G World: An Inventor's View. IEEE Trans. Netw. Serv. Manag. 19(4): 5395-5407 (2022) - 2021
- [j40]German Peinado Gomez, Jordi Mongay Batalla, Yoan Miche, Silke Holtmanns, Constandinos X. Mavromoustakis, George Mastorakis, Noman Haider:
Security policies definition and enforcement utilizing policy control function framework in 5G. Comput. Commun. 172: 226-237 (2021) - 2020
- [e1]Jiuwen Cao, Chi-Man Vong, Yoan Miche, Amaury Lendasse:
Proceedings of ELM 2018, International Conference on Extreme Learning Machine, Singapore, 21-23 November 2018. Proceedings in Adaptation, Learning and Optimization 11, Springer 2020, ISBN 978-3-030-23306-8 [contents]
2010 – 2019
- 2019
- [j39]Heikki Laaki, Yoan Miche, Kari Tammi:
Prototyping a Digital Twin for Real Time Remote Control Over Mobile Networks: Application of Remote Surgery. IEEE Access 7: 20325-20336 (2019) - [j38]Yoan Miche, Wei Ren, Ian Oliver, Silke Holtmanns, Amaury Lendasse:
A Framework for Privacy Quantification: Measuring the Impact of Privacy Techniques Through Mutual Information, Distance Mapping, and Machine Learning. Cogn. Comput. 11(2): 241-261 (2019) - [j37]Renjie Hu, Karl Ratner, Edward R. Ratner, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse:
ELM-SOM+: A continuous mapping for visualization. Neurocomputing 365: 147-156 (2019) - [j36]Anton Akusok, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse:
Per-sample prediction intervals for extreme learning machines. Int. J. Mach. Learn. Cybern. 10(5): 991-1001 (2019) - [c47]Pawani Porambage, Yoan Miche, Aapo Kalliola, Madhusanka Liyanage, Mika Ylianttila:
Secure Keying Scheme for Network Slicing in 5G Architecture. CSCN 2019: 1-6 - [c46]Anton Akusok, Kaj-Mikael Björk, Leonardo Espinosa Leal, Yoan Miche, Renjie Hu, Amaury Lendasse:
Spiking networks for improved cognitive abilities of edge computing devices. PETRA 2019: 307-308 - [i3]Anton Akusok, Emil Eirola, Yoan Miche, Ian Oliver, Kaj-Mikael Björk, Andrey Gritsenko, Stephen Baek, Amaury Lendasse:
Incremental ELMVIS for unsupervised learning. CoRR abs/1912.08638 (2019) - [i2]Anton Akusok, Kaj-Mikael Björk, Leonardo Espinosa Leal, Yoan Miche, Renjie Hu, Amaury Lendasse:
Spiking Networks for Improved Cognitive Abilities of Edge Computing Devices. CoRR abs/1912.09083 (2019) - [i1]Anton Akusok, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse:
Per-sample Prediction Intervals for Extreme Learning Machines. CoRR abs/1912.09090 (2019) - 2018
- [j35]Andrey Gritsenko, Anton Akusok, Stephen Baek, Yoan Miche, Amaury Lendasse:
Extreme Learning Machines for VISualization+R: Mastering Visualization with Target Variables. Cogn. Comput. 10(3): 464-477 (2018) - [j34]Buse Gul Atli, Yoan Miche, Aapo Kalliola, Ian Oliver, Silke Holtmanns, Amaury Lendasse:
Anomaly-Based Intrusion Detection Using Extreme Learning Machine and Aggregation of Network Traffic Statistics in Probability Space. Cogn. Comput. 10(5): 848-863 (2018) - [j33]Setareh Roshan, Yoan Miche, Anton Akusok, Amaury Lendasse:
Adaptive and online network intrusion detection system using clustering and Extreme Learning Machines. J. Frankl. Inst. 355(4): 1752-1779 (2018) - [j32]Silke Holtmanns, Ian Oliver, Yoan Miche:
Mobile Subscriber Profile Data Privacy Breach via 4G Diameter Interconnection. J. ICT Stand. 6(3): 245-262 (2018) - [c45]Aapo Kalliola, Shankar Lal, Kimmo Ahola, Ian Oliver, Yoan Miche, Tuomas Aura:
Security Wrapper Orchestration in Cloud. ARES 2018: 29:1-29:6 - [c44]Renjie Hu, Venous Roshdibenam, Hans J. Johnson, Emil Eirola, Anton Akusok, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse:
ELM-SOM: A Continuous Self-Organizing Map for Visualization. IJCNN 2018: 1-8 - [c43]Ian Oliver, Yoan Miche, Wei Ren:
A Model for Metricising Privacy and Legal Compliance. QUATIC 2018: 229-237 - [c42]Ian Oliver, Aapo Kalliola, Silke Holtmanns, Yoan Miche, Gabriela Limonta, Borger Vigmostad, Kiti Müller:
A Testbed for Trusted Telecommunications Systems in a Safety Critical Environment. SAFECOMP Workshops 2018: 87-98 - [c41]Buse Gul Atli, Yoan Miche, Alexander Jung:
Network Intrusion Detection Using Flow Statistics. SSP 2018: 70-74 - 2017
- [j31]Anton Akusok, Andrey Gritsenko, Yoan Miche, Kaj-Mikael Björk, Rui Nian, Paula Lauren, Amaury Lendasse:
Adding reliability to ELM forecasts by confidence intervals. Neurocomputing 219: 232-241 (2017) - [j30]Amaury Lendasse, Chi-Man Vong, Kar-Ann Toh, Yoan Miche, Guang-Bin Huang:
Advances in extreme learning machines (ELM2015). Neurocomputing 261: 1-3 (2017) - [c40]Wei Ren, Yoan Miche, Ian Oliver, Silke Holtmanns, Kaj-Mikael Björk, Amaury Lendasse:
On Distance Mapping from non-Euclidean Spaces to Euclidean Spaces. CD-MAKE 2017: 3-13 - [c39]Yoan Miche, Ian Oliver, Wei Ren, Silke Holtmanns, Anton Akusok, Amaury Lendasse:
Practical Estimation of Mutual Information on Non-Euclidean Spaces. CD-MAKE 2017: 123-136 - [c38]Anton Akusok, Emil Eirola, Yoan Miché, Andrey Gritsenko, Amaury Lendasse:
Advanced query strategies for Active Learning with Extreme Learning Machines. ESANN 2017 - [c37]Aapo Kalliola, Shankar Lal, Kimmo Ahola, Ian Oliver, Yoan Miche, Silke Holtmanns:
Testbed for security orchestration in a network function virtualization environment. NFV-SDN 2017: 1-4 - [c36]Ian Oliver, Silke Holtmanns, Yoan Miche, Shankar Lal, Leo Hippeläinen, Aapo Kalliola, Sowmya Ravidas:
Experiences in Trusted Cloud Computing. NSS 2017: 19-30 - [c35]Silke Holtmanns, Yoan Miche, Ian Oliver:
Subscriber Profile Extraction and Modification via Diameter Interconnection. NSS 2017: 585-594 - [c34]Anton Akusok, Emil Eirola, Kaj-Mikael Björk, Yoan Miché, Hans J. Johnson, Amaury Lendasse:
Brute-force Missing Data Extreme Learning Machine for Predicting Huntington's Disease. PETRA 2017: 189-192 - 2016
- [j29]Amaury Lendasse, Chi-Man Vong, Yoan Miche, Guang-Bin Huang:
Advances in extreme learning machines (ELM2014). Neurocomputing 174: 1-3 (2016) - [j28]Alexander Grigorievskiy, Yoan Miche, Maarit Käpylä, Amaury Lendasse:
Singular Value Decomposition update and its application to (Inc)-OP-ELM. Neurocomputing 174: 99-108 (2016) - [j27]Dusan Sovilj, Emil Eirola, Yoan Miche, Kaj-Mikael Björk, Rui Nian, Anton Akusok, Amaury Lendasse:
Extreme learning machine for missing data using multiple imputations. Neurocomputing 174: 220-231 (2016) - [j26]Maite Termenon, Manuel Graña, Alexandre Savio, Anton Akusok, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse:
Brain MRI morphological patterns extraction tool based on Extreme Learning Machine and majority vote classification. Neurocomputing 174: 344-351 (2016) - [j25]Anton Akusok, Stephen Baek, Yoan Miché, Kaj-Mikael Björk, Rui Nian, Paula Lauren, Amaury Lendasse:
ELMVIS+: Fast nonlinear visualization technique based on cosine distance and extreme learning machines. Neurocomputing 205: 247-263 (2016) - [c33]Yoan Miché, Ian Oliver, Silke Holtmanns, Aapo Kalliola, Anton Akusok, Amaury Lendasse, Kaj-Mikael Björk:
Data Anonymization as a Vector Quantization Problem: Control Over Privacy for Health Data. CD-ARES 2016: 193-203 - [c32]Patrick Kouontchou, Amaury Lendasse, Yoan Miché, Alejandro Modesto, Peter Sarlin, Bertrand Maillet:
A R-SOM Analysis of the Link between Financial Market Conditions and a Systemic Risk Index Based on ICA-Factors of Systemic Risk Measures. HICSS 2016: 1759-1770 - [c31]Andrey Gritsenko, Anton Akusok, Yoan Miché, Kaj-Mikael Björk, Stephen Baek, Amaury Lendasse:
Combined nonlinear visualization and classification: ELMVIS++C. IJCNN 2016: 2617-2624 - [c30]Kaj-Mikael Björk, Emil Eirola, Yoan Miché, Amaury Lendasse:
A new application of machine learning in health care. PETRA 2016: 49 - [c29]Ian Oliver, Yoan Miché:
On the Development of a Metric for Quality of Information Content over Anonymised Data-Sets. QUATIC 2016: 185-190 - 2015
- [j24]Anton Akusok, Kaj-Mikael Björk, Yoan Miché, Amaury Lendasse:
High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications. IEEE Access 3: 1011-1025 (2015) - [j23]Anton Akusok, Yoan Miche, Juha Karhunen, Kaj-Mikael Björk, Rui Nian, Amaury Lendasse:
Arbitrary Category Classification of Websites Based on Image Content. IEEE Comput. Intell. Mag. 10(2): 30-41 (2015) - [j22]Amaury Lendasse, Qing He, Yoan Miché, Guang-Bin Huang:
Advances in Extreme Learning Machines (ELM2013). Neurocomputing 149: 158-159 (2015) - [j21]Mark van Heeswijk, Yoan Miche:
Binary/ternary extreme learning machines. Neurocomputing 149: 187-197 (2015) - [j20]Anton Akusok, David Veganzones, Yoan Miché, Kaj-Mikael Björk, Philippe du Jardin, Eric Séverin, Amaury Lendasse:
MD-ELM: Originally Mislabeled Samples Detection using OP-ELM Model. Neurocomputing 159: 242-250 (2015) - [j19]Amauri Holanda de Souza Júnior, Francesco Corona, Guilherme De A. Barreto, Yoan Miché, Amaury Lendasse:
Minimal Learning Machine: A novel supervised distance-based approach for regression and classification. Neurocomputing 164: 34-44 (2015) - [j18]Yoan Miché, Anton Akusok, David Veganzones, Kaj-Mikael Björk, Eric Séverin, Philippe du Jardin, Maite Termenon, Amaury Lendasse:
SOM-ELM - Self-Organized Clustering using ELM. Neurocomputing 165: 238-254 (2015) - [j17]Yoan Miche, Meng-Hiot Lim, Amaury Lendasse, Yew-Soon Ong:
Meme representations for game agents. World Wide Web 18(2): 215-234 (2015) - [c28]Dare Abodunrin, Yoan Miche, Silke Holtmanns:
Some dangers from 2G networks legacy support and a possible mitigation. CNS 2015: 585-593 - [c27]Kaj-Mikael Björk, Patrick Kouontchou, Amaury Lendasse, Yoan Miché, Bertrand Maillet:
Towards a Tomographic Index of Systemic Risk Measures. ESANN 2015 - [c26]C. Swaney, Anton Akusok, Kaj-Mikael Björk, Yoan Miché, Amaury Lendasse:
Efficient Skin Segmentation via Neural Networks: HP-ELM and BD-SOM. INNS Conference on Big Data 2015: 400-409 - [c25]Emil Eirola, Andrey Gritsenko, Anton Akusok, Kaj-Mikael Björk, Yoan Miche, Dusan Sovilj, Rui Nian, Bo He, Amaury Lendasse:
Extreme Learning Machines for Multiclass Classification: Refining Predictions with Gaussian Mixture Models. IWANN (2) 2015: 153-164 - [c24]Luiza Sayfullina, Emil Eirola, Dmitry Komashinsky, Paolo Palumbo, Yoan Miché, Amaury Lendasse, Juha Karhunen:
Efficient Detection of Zero-day Android Malware Using Normalized Bernoulli Naive Bayes. TrustCom/BigDataSE/ISPA (1) 2015: 198-205 - 2014
- [j16]Bo He, Dongxun Xu, Rui Nian, Mark van Heeswijk, Qi Yu, Yoan Miche, Amaury Lendasse:
Fast Face Recognition Via Sparse Coding and Extreme Learning Machine. Cogn. Comput. 6(2): 264-277 (2014) - [j15]Anton Akusok, Yoan Miche, Jozsef Hegedus, Rui Nian, Amaury Lendasse:
A Two-Stage Methodology Using K-NN and False-Positive Minimizing ELM for Nominal Data Classification. Cogn. Comput. 6(3): 432-445 (2014) - [j14]Amaury Lendasse, Qing He, Yoan Miche, Guang-Bin Huang:
Advances in extreme learning machines (ELM2012). Neurocomputing 128: 1-3 (2014) - [j13]Rui Nian, Bo He, Bing Zheng, Mark van Heeswijk, Qi Yu, Yoan Miche, Amaury Lendasse:
Extreme learning machine towards dynamic model hypothesis in fish ethology research. Neurocomputing 128: 273-284 (2014) - [j12]Qi Yu, Yoan Miche, Eric Séverin, Amaury Lendasse:
Bankruptcy prediction using Extreme Learning Machine and financial expertise. Neurocomputing 128: 296-302 (2014) - [j11]Qi Yu, Mark van Heeswijk, Yoan Miche, Rui Nian, Bo He, Eric Séverin, Amaury Lendasse:
Ensemble delta test-extreme learning machine (DT-ELM) for regression. Neurocomputing 129: 153-158 (2014) - [j10]Alexander Grigorievskiy, Yoan Miche, Anne-Mari Ventelä, Eric Séverin, Amaury Lendasse:
Long-term time series prediction using OP-ELM. Neural Networks 51: 50-56 (2014) - [c23]Mark van Heeswijk, Amaury Lendasse, Yoan Miché:
Compressive ELM: Improved Models through Exploiting Time-Accuracy Trade-Offs. EANN 2014: 165-174 - [c22]Anton Akusok, David Veganzones, Yoan Miché, Eric Séverin, Amaury Lendasse:
Finding Originally Mislabels with MD-ELM. ESANN 2014 - 2013
- [j9]Erik Cambria, Guang-Bin Huang, Liyanaarachchi Lekamalage Chamara Kasun, Hongming Zhou, Chi-Man Vong, Jiarun Lin, Jianping Yin, Zhiping Cai, Qiang Liu, Kuan Li, Victor C. M. Leung, Liang Feng, Yew-Soon Ong, Meng-Hiot Lim, Anton Akusok, Amaury Lendasse, Francesco Corona, Rui Nian, Yoan Miche, Paolo Gastaldo, Rodolfo Zunino, Sergio Decherchi, Xuefeng Yang, Kezhi Mao, Beom-Seok Oh, Je-Hyoung Jeon, Kar-Ann Toh, Andrew Beng Jin Teoh, Jaihie Kim, Hanchao Yu, Yiqiang Chen, Junfa Liu:
Extreme Learning Machines. IEEE Intell. Syst. 28(6): 30-59 (2013) - [j8]Qi Yu, Yoan Miche, Emil Eirola, Mark van Heeswijk, Eric Séverin, Amaury Lendasse:
Regularized extreme learning machine for regression with missing data. Neurocomputing 102: 45-51 (2013) - [j7]Benoît Frénay, Mark van Heeswijk, Yoan Miche, Michel Verleysen, Amaury Lendasse:
Feature selection for nonlinear models with extreme learning machines. Neurocomputing 102: 111-124 (2013) - [c21]Andrej Gisbrecht, Yoan Miché, Barbara Hammer, Amaury Lendasse:
Visualizing dependencies of spectral features using mutual information. ESANN 2013 - [c20]Patrick Kouontchou, Amaury Lendasse, Yoan Miché, Bertrand Maillet:
Forecasting Financial Markets with Classified Tactical Signals. ESANN 2013 - [c19]Amaury Lendasse, Anton Akusok, Olli Simula, Francesco Corona, Mark van Heeswijk, Emil Eirola, Yoan Miche:
Extreme Learning Machine: A Robust Modeling Technique? Yes! IWANN (1) 2013: 17-35 - [c18]Amauri Holanda de Souza Júnior, Francesco Corona, Yoan Miche, Amaury Lendasse, Guilherme A. Barreto, Olli Simula:
Minimal Learning Machine: A New Distance-Based Method for Supervised Learning. IWANN (1) 2013: 408-416 - 2012
- [c17]Yoan Miche, Tatiana Chistiakova, Anton Akusok, Amaury Lendasse, Rui Nian, Alberto Guillén:
Fast variable selection for memetracker phrases time series prediction. PETRA 2012: 47 - 2011
- [j6]Yoan Miche, Mark van Heeswijk, Patrick Bas, Olli Simula, Amaury Lendasse:
TROP-ELM: A double-regularized ELM using LARS and Tikhonov regularization. Neurocomputing 74(16): 2413-2421 (2011) - [j5]Mark van Heeswijk, Yoan Miche, Erkki Oja, Amaury Lendasse:
GPU-accelerated and parallelized ELM ensembles for large-scale regression. Neurocomputing 74(16): 2430-2437 (2011) - [c16]Jozsef Hegedus, Yoan Miche, Alexander Ilin, Amaury Lendasse:
Methodology for Behavioral-based Malware Analysis and Detection Using Random Projections and K-Nearest Neighbors Classifiers. CIS 2011: 1016-1023 - 2010
- [b1]Yoan Miche:
Developing fast machine learning techniques with applications to steganalysis problems. Grenoble Institute of Technology, France, 2010 - [j4]Qi Yu, Yoan Miché, Antti Sorjamaa, Alberto Guillén, Amaury Lendasse, Eric Séverin:
OP-KNN: Method and Applications. Adv. Artif. Neural Syst. 2010: 597373:1-597373:6 (2010) - [j3]Dusan Sovilj, Antti Sorjamaa, Qi Yu, Yoan Miche, Eric Séverin:
OPELM and OPKNN in long-term prediction of time series using projected input data. Neurocomputing 73(10-12): 1976-1986 (2010) - [j2]Yoan Miche, Antti Sorjamaa, Patrick Bas, Olli Simula, Christian Jutten, Amaury Lendasse:
OP-ELM: optimally pruned extreme learning machine. IEEE Trans. Neural Networks 21(1): 158-162 (2010) - [c15]Laura Kainulainen, Qi Yu, Yoan Miche, Emil Eirola, Eric Séverin, Amaury Lendasse:
Ensembles of Locally Linear Models: Application to Bankruptcy Prediction. DMIN 2010: 280-286 - [c14]Mark van Heeswijk, Yoan Miche, Erkki Oja, Amaury Lendasse:
Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs. ESANN 2010 - [c13]Yoan Miche, Emil Eirola, Patrick Bas, Olli Simula, Christian Jutten, Amaury Lendasse, Michel Verleysen:
Ensemble Modeling with a Constrained Linear System of Leave-One-Out Outputs. ESANN 2010 - [c12]Yoan Miche, Benjamin Schrauwen, Amaury Lendasse:
Machine Learning Techniques based on Random Projections. ESANN 2010 - [c11]Elina Parviainen, Jaakko Riihimäki, Yoan Miche, Amaury Lendasse:
Interpreting Extreme Learning Machine as an Approximation to an Infinite Neural Network. KDIR 2010: 65-73
2000 – 2009
- 2009
- [j1]Yoan Miche, Patrick Bas, Amaury Lendasse, Christian Jutten, Olli Simula:
Reliable Steganalysis Using a Minimum Set of Samples and Features. EURASIP J. Inf. Secur. 2009 (2009) - [c10]Yoan Miche, Amaury Lendasse:
A faster model selection criterion for OP-ELM and OP-KNN: Hannan-Quinn criterion. ESANN 2009 - [c9]Mark van Heeswijk, Yoan Miche, Tiina Lindh-Knuutila, Peter A. J. Hilbers, Timo Honkela, Erkki Oja, Amaury Lendasse:
Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction. ICANN (2) 2009: 305-314 - [c8]Alberto Guillén, Antti Sorjamaa, Yoan Miche, Amaury Lendasse, Ignacio Rojas:
Efficient Parallel Feature Selection for Steganography Problems. IWANN (1) 2009: 1224-1231 - [c7]Antti Sorjamaa, Francesco Corona, Yoan Miche, Paul Merlin, Bertrand Maillet, Eric Séverin, Amaury Lendasse:
Sparse Linear Combination of SOMs for Data Imputation: Application to Financial Database. WSOM 2009: 290-297 - 2008
- [c6]Yoan Miche, Patrick Bas, Christian Jutten, Olli Simula, Amaury Lendasse:
A Methodology for Building Regression Models using Extreme Learning Machine: OP-ELM. ESANN 2008: 247-252 - [c5]Qi Yu, Antti Sorjamaa, Yoan Miche, Amaury Lendasse, Eric Séverin, Alberto Guillén, Fernando Mateo:
Optimal Pruned K-Nearest Neighbors: OP-KNN - Application to Financial Modeling. HIS 2008: 764-769 - [c4]Yoan Miche, Antti Sorjamaa, Amaury Lendasse:
OP-ELM: Theory, Experiments and a Toolbox. ICANN (1) 2008: 145-154 - [c3]Antti Sorjamaa, Yoan Miche, Robert Weiss, Amaury Lendasse:
Long-term prediction of time series using NNE-based projection and OP-ELM. IJCNN 2008: 2674-2680 - 2007
- [c2]Yoan Miche, Patrick Bas, Amaury Lendasse, Christian Jutten, Olli Simula:
Advantages of Using Feature Selection Techniques on Steganalysis Schemes. IWANN 2007: 606-613 - 2006
- [c1]Yoan Miche, Benoit Roue, Amaury Lendasse, Patrick Bas:
A Feature Selection Methodology for Steganalysis. MRCS 2006: 49-56
Coauthor Index
[e1] [j38] [j37] [j36] [c46] [i3] [i2] [i1] [j35] [j34] [j33] [c44] [j31] [j30] [c40] [c39] [c38] [c34] [j29] [j28] [j27] [j26] [j25] [c33] [c32] [c31] [c30] [j24] [j23] [j22] [j20] [j19] [j18] [j17] [c27] [c26] [c25] [c24] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [c23] [c22] [j9] [j8] [j7] [c21] [c20] [c19] [c18] [c17] [j6] [j5] [c16] [j4] [j2] [c15] [c14] [c13] [c12] [c11] [j1] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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