Amaury Lendasse

200 papers B 54C 7Misc 8Journal 92Unranked 36

Year	Rank	Type	Title / Venue / Authors
2024	B	`conf`	A Two-Stage Approach for Implicit Bias Detection in Generative Language Models. ESANN Jeremy Edwards, Renjie Hu, Amaury Lendasse, Alexander Schlager, Peggy Lindner
2024	J	`jnl`	Ensemble Learning with Highly Variable Class-Based Performance. Mach. Learn. Knowl. Extr. Brandon Warner, Edward R. Ratner, Kallin Carlous-Khan, Christopher Douglas, Amaury Lendasse
2024	J	`jnl`	Extreme AutoML: Analysis of Classification, Regression, and NLP Performance. CoRR Edward R. Ratner, Elliot Farmer, Brandon Warner, Christopher Douglas, Amaury Lendasse
2023	—	`conf`	Acid Sulfate Soils Classification and Prediction from Environmental Covariates Using Extreme Learning Machines. IWANN (1) Tamirat Atsemegiorgis, Leonardo Espinosa Leal, Amaury Lendasse, Stefan Mattbäck, Kaj-Mikael Björk, Anton Akusok
2023	—	`conf`	USDOT Tier-1 University Transportation Center for Advancing Cybersecurity Research and Education. MOST Yunpeng Jack Zhang, Kailai Wang, Lingguang Song, Amaury Lendasse, Houbing Herbert Song, Zhu Han, Rakesh M. Verma, Arlei Silva, Carlos E. Rubio-Medrano, Zhixia Richard Li, Guohui Zhang
2023	—	`conf`	X-ELM: A Fast Explainability Approach for Extreme Learning Machines. IWANN (2) Brandon Warner, Edward R. Ratner, Amaury Lendasse
2021	B	`conf`	A Multi-ELM Model for Incomplete Data. ESANN Baichuan Chi, Amaury Lendasse, Edward R. Ratner, Renjie Hu
2021	—	`conf`	Handwriting features based detection of fake signatures. PETRA Anton Akusok, Leonardo Espinosa Leal, Kaj-Mikael Björk, Amaury Lendasse, Renjie Hu
2021	B	`conf`	Machine Learning for Measuring and Analyzing Online Social Communications. ESANN Chris Bronk, Amaury Lendasse, Peggy Lindner, Dan S. Wallach, Barbara Hammer
2021	B	`conf`	NNBMSS: a Novel and Fast Method for Model Structure Selection. ESANN Amaury Lendasse, Kallin Khan, Edward R. Ratner
2020	J	`jnl`	A machine-learning-enhanced hierarchical multiscale method for bridging from molecular dynamics to continua. Neural Comput. Appl. Shaoping Xiao, Renjie Hu, Zhen Li, Siamak Attarian, Kaj-Mikael Björk, Amaury Lendasse
2020	J	`jnl`	A modified Lanczos Algorithm for fast regularization of extreme learning machines. Neurocomputing Renjie Hu, Edward R. Ratner, David E. Stewart, Kaj-Mikael Björk, Amaury Lendasse
2020	J	`jnl`	Embedded spectral descriptors: learning the point-wise correspondence metric via Siamese neural networks. J. Comput. Des. Eng. Zhiyu Sun, Yusen He, Andrey Gritsenko, Amaury Lendasse, Stephen Baek
2020	B	`conf`	Feature Bagging and Extreme Learning Machines: Machine Learning with Severe Memory Constraints. IJCNN Kallin Khan, Edward R. Ratner, Robert Ludwig, Amaury Lendasse
2020	—	`ed.`	Proceedings of ELM 2018, International Conference on Extreme Learning Machine, Singapore, 21-23 November 2018 ELM Jiuwen Cao, Chi-Man Vong, Yoan Miche, Amaury Lendasse
2020	J	`jnl`	Using machine learning to identify top predictors for nurses' willingness to report medication errors. Array Renjie Hu, Amany Farag, Kaj-Mikael Björk, Amaury Lendasse
2019	J	`jnl`	A Framework for Privacy Quantification: Measuring the Impact of Privacy Techniques Through Mutual Information, Distance Mapping, and Machine Learning. Cogn. Comput. Yoan Miche, Wei Ren, Ian Oliver, Silke Holtmanns, Amaury Lendasse
2019	J	`jnl`	A Web Page Classifier Library Based on Random Image Content Analysis Using Deep Learning. CoRR Leonardo Espinosa Leal, Kaj-Mikael Björk, Amaury Lendasse, Anton Akusok
2019	J	`jnl`	Domain Adaption via Feature Selection on Explicit Feature Map. IEEE Trans. Neural Networks Learn. Syst. Wan-Yu Deng, Amaury Lendasse, Yew-Soon Ong, Ivor Wai-Hung Tsang, Lin Chen, Qing-Hua Zheng
2019	J	`jnl`	ELM-SOM+: A continuous mapping for visualization. Neurocomputing Renjie Hu, Karl Ratner, Edward R. Ratner, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse
2019	J	`jnl`	Extreme Learning Tree. CoRR Anton Akusok, Emil Eirola, Kaj-Mikael Björk, Amaury Lendasse
2019	J	`jnl`	Incremental ELMVIS for unsupervised learning. CoRR Anton Akusok, Emil Eirola, Yoan Miche, Ian Oliver, Kaj-Mikael Björk, Andrey Gritsenko, Stephen Baek, Amaury Lendasse
2019	J	`jnl`	Local receptive fields based extreme learning machine with hybrid filter kernels for image classification. Multidimens. Syst. Signal Process. Bo He, Yan Song, Yuemei Zhu, Qixin Sha, Yue Shen, Tianhong Yan, Rui Nian, Amaury Lendasse
2019	J	`jnl`	Mislabel Detection of Finnish Publication Ranks. CoRR Anton Akusok, Mirka Saarela, Tommi Kärkkäinen, Kaj-Mikael Björk, Amaury Lendasse
2019	J	`jnl`	Per-sample Prediction Intervals for Extreme Learning Machines. CoRR Anton Akusok, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse
2019	J	`jnl`	Per-sample prediction intervals for extreme learning machines. Int. J. Mach. Learn. Cybern. Anton Akusok, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse
2019	J	`jnl`	Spiking Networks for Improved Cognitive Abilities of Edge Computing Devices. CoRR Anton Akusok, Kaj-Mikael Björk, Leonardo Espinosa Leal, Yoan Miche, Renjie Hu, Amaury Lendasse
2019	—	`conf`	Spiking networks for improved cognitive abilities of edge computing devices. PETRA Anton Akusok, Kaj-Mikael Björk, Leonardo Espinosa Leal, Yoan Miche, Renjie Hu, Amaury Lendasse
2018	—	`conf`	A Novel ELM Ensemble for Time Series Prediction. ELM Zhen Li, Karl Ratner, Edward R. Ratner, Kallin Khan, Kaj-Mikael Björk, Amaury Lendasse
2018	—	`conf`	A Web Page Classifier Library Based on Random Image Content Analysis Using Deep Learning. PETRA Leonardo Espinosa Leal, Kaj-Mikael Björk, Amaury Lendasse, Anton Akusok
2018	J	`jnl`	Adaptive and online network intrusion detection system using clustering and Extreme Learning Machines. J. Frankl. Inst. Setareh Roshan, Yoan Miche, Anton Akusok, Amaury Lendasse
2018	J	`jnl`	Anomaly-Based Intrusion Detection Using Extreme Learning Machine and Aggregation of Network Traffic Statistics in Probability Space. Cogn. Comput. Buse Gul Atli, Yoan Miche, Aapo Kalliola, Ian Oliver, Silke Holtmanns, Amaury Lendasse
2018	J	`jnl`	Discriminant document embeddings with an extreme learning machine for classifying clinical narratives. Neurocomputing Paula Lauren, Guangzhi Qu, Feng Zhang, Amaury Lendasse
2018	B	`conf`	ELM-SOM: A Continuous Self-Organizing Map for Visualization. IJCNN Renjie Hu, Venous Roshdibenam, Hans J. Johnson, Emil Eirola, Anton Akusok, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse
2018	J	`jnl`	Extreme Learning Machines for VISualization+R: Mastering Visualization with Target Variables. Cogn. Comput. Andrey Gritsenko, Anton Akusok, Stephen Baek, Yoan Miche, Amaury Lendasse
2018	J	`jnl`	Gaussian derivative models and ensemble extreme learning machine for texture image classification. Neurocomputing Yan Song, Shujing Zhang, Bo He, Qixin Sha, Yue Shen, Tianhong Yan, Rui Nian, Amaury Lendasse
2018	J	`jnl`	Generating Word Embeddings from an Extreme Learning Machine for Sentiment Analysis and Sequence Labeling Tasks. Cogn. Comput. Paula Lauren, Guangzhi Qu, JuCheng Yang, Paul Watta, Guang-Bin Huang, Amaury Lendasse
2018	J	`jnl`	Parameter-free image segmentation with SLIC. Neurocomputing Fabian Boemer, Edward R. Ratner, Amaury Lendasse
2017	B	`conf`	A low-dimensional vector representation for words using an extreme learning machine. IJCNN Paula Lauren, Guangzhi Qu, Guang-Bin Huang, Paul Watta, Amaury Lendasse
2017	J	`jnl`	Adding reliability to ELM forecasts by confidence intervals. Neurocomputing Anton Akusok, Andrey Gritsenko, Yoan Miche, Kaj-Mikael Björk, Rui Nian, Paula Lauren, Amaury Lendasse
2017	B	`conf`	Advanced query strategies for Active Learning with Extreme Learning Machines. ESANN Anton Akusok, Emil Eirola, Yoan Miché, Andrey Gritsenko, Amaury Lendasse
2017	J	`jnl`	Advances in extreme learning machines (ELM2015). Neurocomputing Amaury Lendasse, Chi-Man Vong, Kar-Ann Toh, Yoan Miche, Guang-Bin Huang
2017	—	`conf`	Brute-force Missing Data Extreme Learning Machine for Predicting Huntington's Disease. PETRA Anton Akusok, Emil Eirola, Kaj-Mikael Björk, Yoan Miché, Hans J. Johnson, Amaury Lendasse
2017	J	`jnl`	Deep Spectral Descriptors: Learning the point-wise correspondence metric via Siamese deep neural networks. CoRR Zhiyu Sun, Yusen He, Andrey Gritsenko, Amaury Lendasse, Stephen Baek
2017	C	`conf`	On Distance Mapping from non-Euclidean Spaces to Euclidean Spaces. CD-MAKE Wei Ren, Yoan Miche, Ian Oliver, Silke Holtmanns, Kaj-Mikael Björk, Amaury Lendasse
2017	C	`conf`	Practical Estimation of Mutual Information on Non-Euclidean Spaces. CD-MAKE Yoan Miche, Ian Oliver, Wei Ren, Silke Holtmanns, Anton Akusok, Amaury Lendasse
2017	Misc	`conf`	Solve Classification Tasks with Probabilities. Statistically-Modeled Outputs. HAIS Andrey Gritsenko, Emil Eirola, Daniel Schupp, Edward R. Ratner, Amaury Lendasse
2016	—	`conf`	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 Patrick Kouontchou, Amaury Lendasse, Yoan Miché, Alejandro Modesto, Peter Sarlin, Bertrand Maillet
2016	—	`conf`	A new application of machine learning in health care. PETRA Kaj-Mikael Björk, Emil Eirola, Yoan Miché, Amaury Lendasse
2016	J	`jnl`	Advances in extreme learning machines (ELM2014). Neurocomputing Amaury Lendasse, Chi-Man Vong, Yoan Miche, Guang-Bin Huang
2016	J	`jnl`	Brain MRI morphological patterns extraction tool based on Extreme Learning Machine and majority vote classification. Neurocomputing Maite Termenon, Manuel Graña, Alexandre Savio, Anton Akusok, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse
2016	B	`conf`	Clinical narrative classification using discriminant word embeddings with ELM. IJCNN Paula Lauren, Guangzhi Qu, Feng Zhang, Amaury Lendasse
2016	B	`conf`	Combined nonlinear visualization and classification: ELMVIS++C. IJCNN Andrey Gritsenko, Anton Akusok, Yoan Miché, Kaj-Mikael Björk, Stephen Baek, Amaury Lendasse
2016	J	`jnl`	Comparison of combining methods using Extreme Learning Machines under small sample scenario. Neurocomputing Dusan Sovilj, Kaj-Mikael Björk, Amaury Lendasse
2016	—	`conf`	Data Anonymization as a Vector Quantization Problem: Control Over Privacy for Health Data. CD-ARES Yoan Miché, Ian Oliver, Silke Holtmanns, Aapo Kalliola, Anton Akusok, Amaury Lendasse, Kaj-Mikael Björk
2016	J	`jnl`	ELMVIS+: Fast nonlinear visualization technique based on cosine distance and extreme learning machines. Neurocomputing Anton Akusok, Stephen Baek, Yoan Miché, Kaj-Mikael Björk, Rui Nian, Paula Lauren, Amaury Lendasse
2016	J	`jnl`	Extreme learning machine for missing data using multiple imputations. Neurocomputing Dusan Sovilj, Emil Eirola, Yoan Miche, Kaj-Mikael Björk, Rui Nian, Anton Akusok, Amaury Lendasse
2016	J	`jnl`	HSR: L 1/2-regularized sparse representation for fast face recognition using hierarchical feature selection. Neural Comput. Appl. Bo Han, Bo He, Tingting Sun, Tianhong Yan, Mengmeng Ma, Yue Shen, Amaury Lendasse
2016	J	`jnl`	Manifold learning in local tangent space via extreme learning machine. Neurocomputing Qian Wang, Weiguo Wang, Rui Nian, Bo He, Yue Shen, Kaj-Mikael Björk, Amaury Lendasse
2016	J	`jnl`	Singular Value Decomposition update and its application to (Inc)-OP-ELM. Neurocomputing Alexander Grigorievskiy, Yoan Miche, Maarit Käpylä, Amaury Lendasse
2015	J	`jnl`	Advances in Extreme Learning Machines (ELM2013). Neurocomputing Amaury Lendasse, Qing He, Yoan Miché, Guang-Bin Huang
2015	J	`jnl`	Arbitrary Category Classification of Websites Based on Image Content. IEEE Comput. Intell. Mag. Anton Akusok, Yoan Miche, Juha Karhunen, Kaj-Mikael Björk, Rui Nian, Amaury Lendasse
2015	—	`conf`	Efficient Detection of Zero-day Android Malware Using Normalized Bernoulli Naive Bayes. TrustCom/BigDataSE/ISPA (1) Luiza Sayfullina, Emil Eirola, Dmitry Komashinsky, Paolo Palumbo, Yoan Miché, Amaury Lendasse, Juha Karhunen
2015	—	`conf`	Efficient Skin Segmentation via Neural Networks: HP-ELM and BD-SOM. INNS Conference on Big Data C. Swaney, Anton Akusok, Kaj-Mikael Björk, Yoan Miché, Amaury Lendasse
2015	—	`conf`	Extreme Learning Machines for Multiclass Classification: Refining Predictions with Gaussian Mixture Models. IWANN (2) Emil Eirola, Andrey Gritsenko, Anton Akusok, Kaj-Mikael Björk, Yoan Miche, Dusan Sovilj, Rui Nian, Bo He, Amaury Lendasse
2015	J	`jnl`	High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications. IEEE Access Anton Akusok, Kaj-Mikael Björk, Yoan Miché, Amaury Lendasse
2015	J	`jnl`	LARSEN-ELM: Selective ensemble of extreme learning machines using LARS for blended data. Neurocomputing Bo Han, Bo He, Rui Nian, Mengmeng Ma, Shujing Zhang, Minghui Li, Amaury Lendasse
2015	J	`jnl`	MD-ELM: Originally Mislabeled Samples Detection using OP-ELM Model. Neurocomputing Anton Akusok, David Veganzones, Yoan Miché, Kaj-Mikael Björk, Philippe du Jardin, Eric Séverin, Amaury Lendasse
2015	J	`jnl`	Meme representations for game agents. World Wide Web Yoan Miche, Meng-Hiot Lim, Amaury Lendasse, Yew-Soon Ong
2015	J	`jnl`	Minimal Learning Machine: A novel supervised distance-based approach for regression and classification. Neurocomputing Amauri Holanda de Souza Júnior, Francesco Corona, Guilherme De A. Barreto, Yoan Miché, Amaury Lendasse
2015	J	`jnl`	SOM-ELM - Self-Organized Clustering using ELM. Neurocomputing Yoan Miché, Anton Akusok, David Veganzones, Kaj-Mikael Björk, Eric Séverin, Philippe du Jardin, Maite Termenon, Amaury Lendasse
2015	B	`conf`	Towards a Tomographic Index of Systemic Risk Measures. ESANN Kaj-Mikael Björk, Patrick Kouontchou, Amaury Lendasse, Yoan Miché, Bertrand Maillet
2014	J	`jnl`	A Two-Stage Methodology Using K-NN and False-Positive Minimizing ELM for Nominal Data Classification. Cogn. Comput. Anton Akusok, Yoan Miche, Jozsef Hegedus, Rui Nian, Amaury Lendasse
2014	J	`jnl`	Advances in extreme learning machines (ELM2012). Neurocomputing Amaury Lendasse, Qing He, Yoan Miche, Guang-Bin Huang
2014	J	`jnl`	Bankruptcy prediction using Extreme Learning Machine and financial expertise. Neurocomputing Qi Yu, Yoan Miche, Eric Séverin, Amaury Lendasse
2014	C	`conf`	Compressive ELM: Improved Models through Exploiting Time-Accuracy Trade-Offs. EANN Mark van Heeswijk, Amaury Lendasse, Yoan Miché
2014	J	`jnl`	Ensemble delta test-extreme learning machine (DT-ELM) for regression. Neurocomputing Qi Yu, Mark van Heeswijk, Yoan Miche, Rui Nian, Bo He, Eric Séverin, Amaury Lendasse
2014	J	`jnl`	Extreme learning machine towards dynamic model hypothesis in fish ethology research. Neurocomputing Rui Nian, Bo He, Bing Zheng, Mark van Heeswijk, Qi Yu, Yoan Miche, Amaury Lendasse
2014	J	`jnl`	Extreme learning machines for soybean classification in remote sensing hyperspectral images. Neurocomputing Ramón Moreno, Francesco Corona, Amaury Lendasse, Manuel Graña, Lênio S. Galvão
2014	J	`jnl`	Fast Face Recognition Via Sparse Coding and Extreme Learning Machine. Cogn. Comput. Bo He, Dongxun Xu, Rui Nian, Mark van Heeswijk, Qi Yu, Yoan Miche, Amaury Lendasse
2014	J	`jnl`	Fast Feature Selection in a GPU Cluster Using the Delta Test. Entropy Alberto Guillén, M. Isabel García Arenas, Mark van Heeswijk, Dusan Sovilj, Amaury Lendasse, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas
2014	J	`jnl`	Fast Image Recognition Based on Independent Component Analysis and Extreme Learning Machine. Cogn. Comput. Shujing Zhang, Bo He, Rui Nian, Jing Wang, Bo Han, Amaury Lendasse, Guang Yuan
2014	B	`conf`	Finding Originally Mislabels with MD-ELM. ESANN Anton Akusok, David Veganzones, Yoan Miché, Eric Séverin, Amaury Lendasse
2014	J	`jnl`	HSR: L1/2 Regularized Sparse Representation for Fast Face Recognition using Hierarchical Feature Selection. CoRR Bo Han, Bo He, Tingting Sun, Mengmeng Ma, Amaury Lendasse
2014	J	`jnl`	LARSEN-ELM: Selective Ensemble of Extreme Learning Machines using LARS for Blended Data. CoRR Bo Han, Bo He, Rui Nian, Mengmeng Ma, Shujing Zhang, Minghui Li, Amaury Lendasse
2014	J	`jnl`	Long-term time series prediction using OP-ELM. Neural Networks Alexander Grigorievskiy, Yoan Miche, Anne-Mari Ventelä, Eric Séverin, Amaury Lendasse
2014	J	`jnl`	Mixture of Gaussians for distance estimation with missing data. Neurocomputing Emil Eirola, Amaury Lendasse, Vincent Vandewalle, Christophe Biernacki
2014	J	`jnl`	RMSE-ELM: Recursive Model based Selective Ensemble of Extreme Learning Machines for Robustness Improvement. CoRR Bo Han, Bo He, Mengmeng Ma, Tingting Sun, Tianhong Yan, Amaury Lendasse
2014	J	`jnl`	Robust OS-ELM with a novel selective ensemble based on particle swarm optimization. CoRR Yang Liu, Bo He, Diya Dong, Yue Shen, Tianhong Yan, Rui Nian, Amaury Lendasse
2014	B	`conf`	The delta test: The 1-NN estimator as a feature selection criterion. IJCNN Emil Eirola, Amaury Lendasse, Francesco Corona, Michel Verleysen
2014	B	`conf`	Variable selection for regression problems using Gaussian mixture models to estimate mutual information. IJCNN Emil Eirola, Amaury Lendasse, Juha Karhunen
2013	J	`jnl`	3D object recognition based on a geometrical topology model and extreme learning machine. Neural Comput. Appl. Rui Nian, Bo He, Amaury Lendasse
2013	J	`jnl`	Data Preprocessing and Model Design for Medicine Problems. Comput. Math. Methods Medicine Alberto Guillén, Amaury Lendasse, Guilherme A. Barreto
2013	J	`jnl`	Distance estimation in numerical data sets with missing values. Inf. Sci. Emil Eirola, Gauthier Doquire, Michel Verleysen, Amaury Lendasse
2013	—	`conf`	Extending Extreme Learning Machine with Combination Layer. IWANN (1) Dusan Sovilj, Amaury Lendasse, Olli Simula
2013	—	`conf`	Extreme Learning Machine: A Robust Modeling Technique? Yes! IWANN (1) Amaury Lendasse, Anton Akusok, Olli Simula, Francesco Corona, Mark van Heeswijk, Emil Eirola, Yoan Miche
2013	J	`jnl`	Extreme Learning Machines. IEEE Intell. Syst. 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
2013	J	`jnl`	Feature selection for nonlinear models with extreme learning machines. Neurocomputing Benoît Frénay, Mark van Heeswijk, Yoan Miche, Michel Verleysen, Amaury Lendasse
2013	B	`conf`	Forecasting Financial Markets with Classified Tactical Signals. ESANN Patrick Kouontchou, Amaury Lendasse, Yoan Miché, Bertrand Maillet
2013	B	`conf`	Gaussian Mixture Models for Time Series Modelling, Forecasting, and Interpolation. IDA Emil Eirola, Amaury Lendasse
2013	—	`conf`	Minimal Learning Machine: A New Distance-Based Method for Supervised Learning. IWANN (1) Amauri Holanda de Souza Júnior, Francesco Corona, Yoan Miche, Amaury Lendasse, Guilherme A. Barreto, Olli Simula
2013	J	`jnl`	Regularized extreme learning machine for regression with missing data. Neurocomputing Qi Yu, Yoan Miche, Emil Eirola, Mark van Heeswijk, Eric Séverin, Amaury Lendasse
2013	B	`conf`	Visualizing dependencies of spectral features using mutual information. ESANN Andrej Gisbrecht, Yoan Miché, Barbara Hammer, Amaury Lendasse
2012	J	`jnl`	Adaptive kernel smoothing regression for spatio-temporal environmental datasets. Neurocomputing Federico Montesino-Pouzols, Amaury Lendasse
2012	—	`ch.`	Evolutive Approaches for Variable Selection Using a Non-parametric Noise Estimator. Parallel Architectures and Bioinspired Algorithms Alberto Guillén, Dusan Sovilj, Mark van Heeswijk, Luis Javier Herrera, Amaury Lendasse, Héctor Pomares, Ignacio Rojas
2012	—	`conf`	Fast variable selection for memetracker phrases time series prediction. PETRA Yoan Miche, Tatiana Chistiakova, Anton Akusok, Amaury Lendasse, Rui Nian, Alberto Guillén
2012	B	`conf`	Relevance learning for time series inspection. ESANN Andrej Gisbrecht, Dusan Sovilj, Barbara Hammer, Amaury Lendasse
2011	B	`conf`	Adaptive Kernel Smoothing Regression for Spatio-Temporal Environmental Datasets. ESANN Federico Montesino-Pouzols, Amaury Lendasse
2011	—	`conf`	Adaptive kernel smoothing regression using vector quantization. EAIS Federico Montesino-Pouzols, Amaury Lendasse
2011	J	`jnl`	GPU-accelerated and parallelized ELM ensembles for large-scale regression. Neurocomputing Mark van Heeswijk, Yoan Miche, Erkki Oja, Amaury Lendasse
2011	B	`conf`	Locating Anomalies Using Bayesian Factorizations and Masks. ESANN Li Yao, Amaury Lendasse, Francesco Corona
2011	C	`conf`	Methodology for Behavioral-based Malware Analysis and Detection Using Random Projections and K-Nearest Neighbors Classifiers. CIS Jozsef Hegedus, Yoan Miche, Alexander Ilin, Amaury Lendasse
2011	J	`jnl`	On the Curse of Dimensionality in Supervised Learning of Smooth Regression Functions. Neural Process. Lett. Elia Liitiäinen, Francesco Corona, Amaury Lendasse
2011	J	`jnl`	TROP-ELM: A double-regularized ELM using LARS and Tikhonov regularization. Neurocomputing Yoan Miche, Mark van Heeswijk, Patrick Bas, Olli Simula, Amaury Lendasse
2010	J	`jnl`	A boundary corrected expansion of the moments of nearest neighbor distributions. Random Struct. Algorithms Elia Liitiäinen, Amaury Lendasse, Francesco Corona
2010	J	`jnl`	Autoregressive time series prediction by means of fuzzy inference systems using nonparametric residual variance estimation. Fuzzy Sets Syst. Federico Montesino-Pouzols, Amaury Lendasse, Angel Barriga Barros
2010	B	`conf`	Effect of different detrending approaches on computational intelligence models of time series. IJCNN Federico Montesino-Pouzols, Amaury Lendasse
2010	B	`conf`	Ensemble Modeling with a Constrained Linear System of Leave-One-Out Outputs. ESANN Yoan Miche, Emil Eirola, Patrick Bas, Olli Simula, Christian Jutten, Amaury Lendasse, Michel Verleysen
2010	—	`conf`	Ensembles of Locally Linear Models: Application to Bankruptcy Prediction. DMIN Laura Kainulainen, Qi Yu, Yoan Miche, Emil Eirola, Eric Séverin, Amaury Lendasse
2010	J	`jnl`	European Symposium on Times Series Prediction. Neurocomputing Amaury Lendasse, Timo Honkela, Olli Simula
2010	B	`conf`	Evolving fuzzy Optimally Pruned Extreme Learning Machine: A comparative analysis. FUZZ-IEEE Federico Montesino-Pouzols, Amaury Lendasse
2010	J	`jnl`	Evolving fuzzy optimally pruned extreme learning machine for regression problems. Evol. Syst. Federico Montesino-Pouzols, Amaury Lendasse
2010	—	`conf`	Interpreting Extreme Learning Machine as an Approximation to an Infinite Neural Network. KDIR Elina Parviainen, Jaakko Riihimäki, Yoan Miche, Amaury Lendasse
2010	B	`conf`	Machine Learning Techniques based on Random Projections. ESANN Yoan Miche, Benjamin Schrauwen, Amaury Lendasse
2010	J	`jnl`	New method for instance or prototype selection using mutual information in time series prediction. Neurocomputing Alberto Guillén, Luis Javier Herrera, Ginés Rubio, Héctor Pomares, Amaury Lendasse, Ignacio Rojas
2010	J	`jnl`	OP-ELM: optimally pruned extreme learning machine. IEEE Trans. Neural Networks Yoan Miche, Antti Sorjamaa, Patrick Bas, Olli Simula, Christian Jutten, Amaury Lendasse
2010	J	`jnl`	OP-KNN: Method and Applications. Adv. Artif. Neural Syst. Qi Yu, Yoan Miché, Antti Sorjamaa, Alberto Guillén, Amaury Lendasse, Eric Séverin
2010	J	`jnl`	Residual variance estimation using a nearest neighbor statistic. J. Multivar. Anal. Elia Liitiäinen, Francesco Corona, Amaury Lendasse
2010	B	`conf`	Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs. ESANN Mark van Heeswijk, Yoan Miche, Erkki Oja, Amaury Lendasse
2010	J	`jnl`	X-SOM and L-SOM: A double classification approach for missing value imputation. Neurocomputing Paul Merlin, Antti Sorjamaa, Bertrand Maillet, Amaury Lendasse
2009	J	`jnl`	A SOM-based approach to estimating product properties from spectroscopic measurements. Neurocomputing Francesco Corona, Elia Liitiäinen, Amaury Lendasse, Lorenzo Sassu, Stefano Melis, Roberto Baratti
2009	B	`conf`	A faster model selection criterion for OP-ELM and OP-KNN: Hannan-Quinn criterion. ESANN Yoan Miche, Amaury Lendasse
2009	—	`conf`	Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction. ICANN (2) Mark van Heeswijk, Yoan Miche, Tiina Lindh-Knuutila, Peter A. J. Hilbers, Timo Honkela, Erkki Oja, Amaury Lendasse
2009	B	`conf`	Applying Mutual Information for Prototype or Instance Selection in Regression Problems. ESANN Alberto Guillén, Luis Javier Herrera, Ginés Rubio, Héctor Pomares, Amaury Lendasse, Ignacio Rojas
2009	—	`conf`	Efficient Parallel Feature Selection for Steganography Problems. IWANN (1) Alberto Guillén, Antti Sorjamaa, Yoan Miche, Amaury Lendasse, Ignacio Rojas
2009	—	`ch.`	Functional Dimension Reduction for Chemometrics. Encyclopedia of Artificial Intelligence Tuomas Kärnä, Amaury Lendasse
2009	B	`conf`	Long-term prediction of time series by combining direct and MIMO strategies. IJCNN Souhaib Ben Taieb, Gianluca Bontempi, Antti Sorjamaa, Amaury Lendasse
2009	—	`conf`	Mutual Information Based Initialization of Forward-Backward Search for Feature Selection in Regression Problems. ICANN (1) Alberto Guillén, Antti Sorjamaa, Ginés Rubio, Amaury Lendasse, Ignacio Rojas
2009	—	`conf`	RCGA-S/RCGA-SP Methods to Minimize the Delta Test for Regression Tasks. IWANN (1) Fernando Mateo, Dusan Sovilj, Rafael Gadea Gironés, Amaury Lendasse
2009	J	`jnl`	Reliable Steganalysis Using a Minimum Set of Samples and Features. EURASIP J. Inf. Secur. Yoan Miche, Patrick Bas, Amaury Lendasse, Christian Jutten, Olli Simula
2009	J	`jnl`	Residual variance estimation in machine learning. Neurocomputing Elia Liitiäinen, Michel Verleysen, Francesco Corona, Amaury Lendasse
2009	—	`conf`	Sparse Linear Combination of SOMs for Data Imputation: Application to Financial Database. WSOM Antti Sorjamaa, Francesco Corona, Yoan Miche, Paul Merlin, Bertrand Maillet, Eric Séverin, Amaury Lendasse
2009	B	`conf`	X-SOM and L-SOM: a nested approach for missing value imputation. ESANN Paul Merlin, Antti Sorjamaa, Bertrand Maillet, Amaury Lendasse
2008	B	`conf`	A Methodology for Building Regression Models using Extreme Learning Machine: OP-ELM. ESANN Yoan Miche, Patrick Bas, Christian Jutten, Olli Simula, Amaury Lendasse
2008	B	`conf`	Fuzzy inference based autoregressors for time series prediction using nonparametric residual variance estimation. FUZZ-IEEE Federico Montesino-Pouzols, Amaury Lendasse, Angel Barriga
2008	B	`conf`	Linear Projection based on Noise Variance Estimation - Application to Spectral Data. ESANN Amaury Lendasse, Francesco Corona
2008	B	`conf`	Long-term prediction of time series using NNE-based projection and OP-ELM. IJCNN Antti Sorjamaa, Yoan Miche, Robert Weiss, Amaury Lendasse
2008	J	`jnl`	Minimising the delta test for variable selection in regression problems. Int. J. High Perform. Syst. Archit. Alberto Guillén, Dusan Sovilj, Amaury Lendasse, Fernando Mateo, Ignacio Rojas
2008	—	`conf`	OP-ELM: Theory, Experiments and a Toolbox. ICANN (1) Yoan Miche, Antti Sorjamaa, Amaury Lendasse
2008	J	`jnl`	On Nonparametric Residual Variance Estimation. Neural Process. Lett. Elia Liitiäinen, Francesco Corona, Amaury Lendasse
2008	C	`conf`	Optimal Pruned K-Nearest Neighbors: OP-KNN - Application to Financial Modeling. HIS Qi Yu, Antti Sorjamaa, Yoan Miche, Amaury Lendasse, Eric Séverin, Alberto Guillén, Fernando Mateo
2008	B	`conf`	Using the Delta Test for Variable Selection. ESANN Emil Eirola, Elia Liitiäinen, Amaury Lendasse, Francesco Corona, Michel Verleysen
2007	Misc	`conf`	Advantages of Using Feature Selection Techniques on Steganalysis Schemes. IWANN Yoan Miche, Patrick Bas, Amaury Lendasse, Christian Jutten, Olli Simula
2007	—	`conf`	An empirical dependence mesaures based on residual variance estimation. ISSPA Nima Reyhani, Amaury Lendasse
2007	Misc	`conf`	Gaussian Fitting Based FDA for Chemometrics. IWANN Tuomas Kärnä, Amaury Lendasse
2007	J	`jnl`	Methodology for long-term prediction of time series. Neurocomputing Antti Sorjamaa, Jin Hao, Nima Reyhani, Yongnan Ji, Amaury Lendasse
2007	J	`jnl`	Mutual information for the selection of relevant variables in spectrometric nonlinear modelling CoRR Fabrice Rossi, Amaury Lendasse, Damien François, Vincent Wertz, Michel Verleysen
2007	B	`conf`	Nearest Neighbor Distributions and Noise Variance Estimation. ESANN Elia Liitiäinen, Francesco Corona, Amaury Lendasse
2007	Misc	`conf`	Non-parametric Residual Variance Estimation in Supervised Learning. IWANN Elia Liitiäinen, Amaury Lendasse, Francesco Corona
2007	B	`conf`	SOM+EOF for finding missing values. ESANN Antti Sorjamaa, Paul Merlin, Bertrand Maillet, Amaury Lendasse
2007	—	`conf`	State-of-the-Art and Evolution in Public Data Sets and Competitions for System Identification, Time Series Prediction and Pattern Recognition. ICASSP (4) Joos Vandewalle, Johan A. K. Suykens, Bart De Moor, Amaury Lendasse
2007	J	`jnl`	Time Series Forecasting: Obtaining Long Term Trends with Self-Organizing Maps CoRR Geoffroy Simon, Amaury Lendasse, Marie Cottrell, Jean-Claude Fort, Michel Verleysen
2007	B	`conf`	Time Series Prediction as a Problem of Missing Values: Application to ESTSP2007 and NN3 Competition Benchmarks. IJCNN Antti Sorjamaa, Amaury Lendasse
2007	J	`jnl`	Time series prediction competition: The CATS benchmark. Neurocomputing Amaury Lendasse, Erkki Oja, Olli Simula, Michel Verleysen
2007	B	`conf`	Variable Scaling for Time Series Prediction: Application to the ESTSP'07 and the NN3 Forecasting Competitions. IJCNN Amaury Lendasse, Elia Liitiäinen
2006	—	`conf`	A Feature Selection Methodology for Steganalysis. MRCS Yoan Miche, Benoit Roue, Amaury Lendasse, Patrick Bas
2006	—	`conf`	Analysis of Fast Input Selection: Application in Time Series Prediction. ICANN (2) Jarkko Tikka, Amaury Lendasse, Jaakko Hollmén
2006	B	`conf`	Determination of the Mahalanobis matrix using nonparametric noise estimations. ESANN Amaury Lendasse, Francesco Corona, Jin Hao, Nima Reyhani, Michel Verleysen
2006	B	`conf`	EM-algorithm for training of state-space models with application to time series prediction. ESANN Elia Liitiäinen, Nima Reyhani, Amaury Lendasse
2006	B	`conf`	LS-SVM functional network for time series prediction. ESANN Tuomas Kärnä, Fabrice Rossi, Amaury Lendasse
2006	—	`conf`	Long-Term Prediction of Time Series Using State-Space Models. ICANN (2) Elia Liitiäinen, Amaury Lendasse
2006	B	`conf`	Time series prediction using DirRec strategy. ESANN Antti Sorjamaa, Amaury Lendasse
2005	Misc	`conf`	Direct and Recursive Prediction of Time Series Using Mutual Information Selection. IWANN Yongnan Ji, Jin Hao, Nima Reyhani, Amaury Lendasse
2005	J	`jnl`	Fast bootstrap methodology for regression model selection. Neurocomputing Amaury Lendasse, Geoffroy Simon, Vincent Wertz, Michel Verleysen
2005	Misc	`conf`	Input Selection for Long-Term Prediction of Time Series. IWANN Jarkko Tikka, Jaakko Hollmén, Amaury Lendasse
2005	Misc	`conf`	Input and Structure Selection for k-NN Approximator. IWANN Antti Sorjamaa, Nima Reyhani, Amaury Lendasse
2005	—	`conf`	LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator. ICANN (2) Amaury Lendasse, Yongnan Ji, Nima Reyhani, Michel Verleysen
2005	—	`conf`	Mutual Information and ICANN (2) Antti Sorjamaa, Jin Hao, Amaury Lendasse
2005	B	`conf`	Mutual information and gamma test for input selection. ESANN Nima Reyhani, Jin Hao, Yongnan Ji, Amaury Lendasse
2005	B	`conf`	Pruned lazy learning models for time series prediction. ESANN Antti Sorjamaa, Amaury Lendasse, Michel Verleysen
2005	J	`jnl`	Time series forecasting: Obtaining long term trends with self-organizing maps. Pattern Recognit. Lett. Geoffroy Simon, Amaury Lendasse, Marie Cottrell, Jean-Claude Fort, Michel Verleysen
2005	J	`jnl`	Vector quantization: a weighted version for time-series forecasting. Future Gener. Comput. Syst. Amaury Lendasse, Damien François, Vincent Wertz, Michel Verleysen
2004	J	`jnl`	Double quantization of the regressor space for long-term time series prediction: method and proof of stability. Neural Networks Geoffroy Simon, Amaury Lendasse, Marie Cottrell, Jean-Claude Fort, Michel Verleysen
2004	B	`conf`	Fast bootstrap applied to LS-SVM for long term prediction of time series. IJCNN Amaury Lendasse, Vincent Wertz, Geoffroy Simon, Michel Verleysen
2004	B	`conf`	Fast bootstrap for least-square support vector machines. ESANN Amaury Lendasse, Geoffroy Simon, Vincent Wertz, Michel Verleysen
2004	J	`jnl`	Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysis. Neurocomputing John Aldo Lee, Amaury Lendasse, Michel Verleysen
2003	—	`conf`	Bootstrap for Model Selection: Linear Approximation of the Optimism. IWANN (1) Geoffroy Simon, Amaury Lendasse, Michel Verleysen
2003	B	`conf`	Fast approximation of the bootstrap for model selection. ESANN Geoffroy Simon, Amaury Lendasse, Vincent Wertz, Michel Verleysen
2003	C	`conf`	Model Selection with Cross-Validations and Bootstraps - Application to Time Series Prediction with RBFN Models. ICANN Amaury Lendasse, Vincent Wertz, Michel Verleysen
2003	Misc	`conf`	Nonlinear Time Series Prediction by Weighted Vector Quantization. International Conference on Computational Science Amaury Lendasse, Damien François, Vincent Wertz, Michel Verleysen
2002	B	`conf`	Curvilinear Distance Analysis versus Isomap. ESANN John Aldo Lee, Amaury Lendasse, Michel Verleysen
2002	J	`jnl`	Forecasting electricity consumption using nonlinear projection and self-organizing maps. Neurocomputing Amaury Lendasse, John Aldo Lee, Vincent Wertz, Michel Verleysen
2002	C	`conf`	Prediction of electric load using Kohonen maps - Application to the Polish electricity consumption. ACC Amaury Lendasse, Marie Cottrell, Vincent Wertz, Michel Verleysen
2002	B	`conf`	Width optimization of the Gaussian kernels in Radial Basis Function Networks. ESANN Nabil Benoudjit, Cédric Archambeau, Amaury Lendasse, John Aldo Lee, Michel Verleysen
2001	B	`conf`	Input data reduction for the prediction of financial time series. ESANN Amaury Lendasse, John Aldo Lee, Eric de Bodt, Vincent Wertz, Michel Verleysen
2000	B	`conf`	A robust non-linear projection method. ESANN John Aldo Lee, Amaury Lendasse, Nicolas Donckers, Michel Verleysen
2000	B	`conf`	Time series forecasting using CCA and Kohonen maps - application to electricity consumption. ESANN Amaury Lendasse, John Aldo Lee, Vincent Wertz, Michel Verleysen
1999	B	`conf`	Extraction of intrinsic dimension using CCA - Application to blind sources separation. ESANN Nicolas Donckers, Amaury Lendasse, Vincent Wertz, Michel Verleysen
1999	—	`conf`	Forecasting Financial Time Series through Intrinsic Dimension Estimation and Non-Linear Data Projection. IWANN (2) Michel Verleysen, Eric de Bodt, Amaury Lendasse
1998	B	`conf`	Forecasting time-series by Kohonen classification. ESANN Amaury Lendasse, Michel Verleysen, Eric de Bodt, Marie Cottrell, Philippe Grégoire