Amaury Lendasse

ORCID

Publication Activity (10 Years)

Years Active: 1998-2023
Publications (10 Years): 68

Top Venues

Publications

Yunpeng Jack Zhang, Kailai Wang, Lingguang Song, Amaury Lendasse, Houbing Herbert Song, Zhu Han, Rakesh Verma, Arlei Silva, Carlos Rubio-Medrano, Zhixia Richard Li, Guohui Zhang
USDOT Tier-1 University Transportation Center for Advancing Cybersecurity Research and Education. MOST (2023)
Tamirat Atsemegiorgis, Leonardo Espinosa Leal, Amaury Lendasse, Stefan Mattbäck, Kaj-Mikael Björk, Anton Akusok
Acid Sulfate Soils Classification and Prediction from Environmental Covariates Using Extreme Learning Machines. IWANN (1) (2023)
Brandon Warner, Edward R. Ratner, Amaury Lendasse
X-ELM: A Fast Explainability Approach for Extreme Learning Machines. IWANN (2) (2023)
Chris Bronk, Amaury Lendasse, Peggy Lindner, Dan S. Wallach, Barbara Hammer
Machine Learning for Measuring and Analyzing Online Social Communications. ESANN (2021)
Baichuan Chi, Amaury Lendasse, Edward R. Ratner, Renjie Hu
A Multi-ELM Model for Incomplete Data. ESANN (2021)
Amaury Lendasse, Kallin Khan, Edward R. Ratner
NNBMSS: a Novel and Fast Method for Model Structure Selection. ESANN (2021)
Anton Akusok, Leonardo Espinosa Leal, Kaj-Mikael Björk, Amaury Lendasse, Renjie Hu
Handwriting features based detection of fake signatures. PETRA (2021)
Shaoping Xiao, Renjie Hu, Zhen Li, Siamak Attarian, Kaj-Mikael Björk, Amaury Lendasse
A machine-learning-enhanced hierarchical multiscale method for bridging from molecular dynamics to continua. Neural Comput. Appl. 32 (18) (2020)
Renjie Hu, Amany Farag, Kaj-Mikael Björk, Amaury Lendasse
Using machine learning to identify top predictors for nurses' willingness to report medication errors. Array 8 (2020)
Zhiyu Sun, Yusen He, Andrey Gritsenko, Amaury Lendasse, Stephen Baek
Embedded spectral descriptors: learning the point-wise correspondence metric via Siamese neural networks. J. Comput. Des. Eng. 7 (1) (2020)
Renjie Hu, Edward R. Ratner, David Stewart, Kaj-Mikael Björk, Amaury Lendasse
A modified Lanczos Algorithm for fast regularization of extreme learning machines. Neurocomputing 414 (2020)
Kallin Khan, Edward R. Ratner, Robert Ludwig, Amaury Lendasse
Feature Bagging and Extreme Learning Machines: Machine Learning with Severe Memory Constraints. IJCNN (2020)
Wan-Yu Deng, Amaury Lendasse, Yew-Soon Ong, Ivor Wai-Hung Tsang, Lin Chen, Qing-Hua Zheng
Domain Adaption via Feature Selection on Explicit Feature Map. IEEE Trans. Neural Networks Learn. Syst. 30 (4) (2019)
Bo He, Yan Song, Yuemei Zhu, Qixin Sha, Yue Shen, Tianhong Yan, Rui Nian, Amaury Lendasse
Local receptive fields based extreme learning machine with hybrid filter kernels for image classification. Multidimens. Syst. Signal Process. 30 (3) (2019)
Renjie Hu, Karl Ratner, Edward R. Ratner, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse
ELM-SOM+: A continuous mapping for visualization. Neurocomputing 365 (2019)
Anton Akusok, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse
Per-sample Prediction Intervals for Extreme Learning Machines. CoRR (2019)
Anton Akusok, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse
Per-sample prediction intervals for extreme learning machines. Int. J. Mach. Learn. Cybern. 10 (5) (2019)
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) (2019)
Anton Akusok, Mirka Saarela, Tommi Kärkkäinen, Kaj-Mikael Björk, Amaury Lendasse
Mislabel Detection of Finnish Publication Ranks. CoRR (2019)
Anton Akusok, Emil Eirola, Yoan Miche, Ian Oliver, Kaj-Mikael Björk, Andrey Gritsenko, Stephen Baek, Amaury Lendasse
Incremental ELMVIS for unsupervised learning. CoRR (2019)
Leonardo Espinosa Leal, Kaj-Mikael Björk, Amaury Lendasse, Anton Akusok
A Web Page Classifier Library Based on Random Image Content Analysis Using Deep Learning. CoRR (2019)
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 (2019)
Anton Akusok, Emil Eirola, Kaj-Mikael Björk, Amaury Lendasse
Extreme Learning Tree. CoRR (2019)
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)
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) (2018)
Fabian Boemer, Edward R. Ratner, Amaury Lendasse
Parameter-free image segmentation with SLIC. Neurocomputing 277 (2018)
Leonardo Espinosa Leal, Kaj-Mikael Björk, Amaury Lendasse, Anton Akusok
A Web Page Classifier Library Based on Random Image Content Analysis Using Deep Learning. PETRA (2018)
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) (2018)
Yan Song, Shujing Zhang, Bo He, Qixin Sha, Yue Shen, Tianhong Yan, Rui Nian, Amaury Lendasse
Gaussian derivative models and ensemble extreme learning machine for texture image classification. Neurocomputing 277 (2018)
Paula Lauren, Guangzhi Qu, Jucheng Yang, Paul Watta, Guang-Bin Huang, Amaury Lendasse
Generating Word Embeddings from an Extreme Learning Machine for Sentiment Analysis and Sequence Labeling Tasks. Cogn. Comput. 10 (4) (2018)
Paula Lauren, Guangzhi Qu, Feng Zhang, Amaury Lendasse
Discriminant document embeddings with an extreme learning machine for classifying clinical narratives. Neurocomputing 277 (2018)
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) (2018)
Zhen Li, Karl Ratner, Edward R. Ratner, Kallin Khan, Kaj-Mikael Björk, Amaury Lendasse
A Novel ELM Ensemble for Time Series Prediction. ELM (2018)
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)
Andrey Gritsenko, Emil Eirola, Daniel Schupp, Edward R. Ratner, Amaury Lendasse
Solve Classification Tasks with Probabilities. Statistically-Modeled Outputs. HAIS (2017)
Anton Akusok, Emil Eirola, Yoan Miché, Andrey Gritsenko, Amaury Lendasse
Advanced query strategies for Active Learning with Extreme Learning Machines. ESANN (2017)
Amaury Lendasse, Chi-Man Vong, Kar-Ann Toh, Yoan Miche, Guang-Bin Huang
Advances in extreme learning machines (ELM2015). Neurocomputing 261 (2017)
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)
Zhiyu Sun, Yusen He, Andrey Gritsenko, Amaury Lendasse, Stephen Baek
Deep Spectral Descriptors: Learning the point-wise correspondence metric via Siamese deep neural networks. CoRR (2017)
Yoan Miche, Ian Oliver, Wei Ren, Silke Holtmanns, Anton Akusok, Amaury Lendasse
Practical Estimation of Mutual Information on Non-Euclidean Spaces. CD-MAKE (2017)
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)
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 (2017)
Paula Lauren, Guangzhi Qu, Guang-Bin Huang, Paul Watta, Amaury Lendasse
A low-dimensional vector representation for words using an extreme learning machine. IJCNN (2017)
Andrey Gritsenko, Anton Akusok, Yoan Miché, Kaj-Mikael Björk, Stephen Baek, Amaury Lendasse
Combined nonlinear visualization and classification: ELMVIS++C. IJCNN (2016)
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)
Alexander Grigorievskiy, Yoan Miche, Maarit Käpylä, Amaury Lendasse
Singular Value Decomposition update and its application to (Inc)-OP-ELM. Neurocomputing 174 (2016)
Kaj-Mikael Björk, Emil Eirola, Yoan Miché, Amaury Lendasse
A new application of machine learning in health care. PETRA (2016)
Qian Wang, Weiguo Wang, Rui Nian, Bo He, Yue Shen, Kaj-Mikael Björk, Amaury Lendasse
Manifold learning in local tangent space via extreme learning machine. Neurocomputing 174 (2016)
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 (2016)
Bo Han, Bo He, Tingting Sun, Tianhong Yan, Mengmeng Ma, Yue Shen, Amaury Lendasse
HSR: L 1/2-regularized sparse representation for fast face recognition using hierarchical feature selection. Neural Comput. Appl. 27 (2) (2016)
Paula Lauren, Guangzhi Qu, Feng Zhang, Amaury Lendasse
Clinical narrative classification using discriminant word embeddings with ELM. IJCNN (2016)
Amaury Lendasse, Chi-Man Vong, Yoan Miche, Guang-Bin Huang
Advances in extreme learning machines (ELM2014). Neurocomputing 174 (2016)
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 (2016)
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)
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 (2016)
Dusan Sovilj, Kaj-Mikael Björk, Amaury Lendasse
Comparison of combining methods using Extreme Learning Machines under small sample scenario. Neurocomputing 174 (2016)
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)
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 (2015)
Bo Han, Bo He, Rui Nian, Mengmeng Ma, Shujing Zhang, Minghui Li, Amaury Lendasse
LARSEN-ELM: Selective ensemble of extreme learning machines using LARS for blended data. Neurocomputing 149 (2015)
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)
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)
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) (2015)
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 (2015)
Anton Akusok, Kaj-Mikael Björk, Yoan Miché, Amaury Lendasse
High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications. IEEE Access 3 (2015)
Kaj-Mikael Björk, Patrick Kouontchou, Amaury Lendasse, Yoan Miché, Bertrand Maillet
Towards a Tomographic Index of Systemic Risk Measures. ESANN (2015)
Amaury Lendasse, Qing He, Yoan Miché, Guang-Bin Huang
Advances in Extreme Learning Machines (ELM2013). Neurocomputing 149 (2015)
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 (2015)
Yoan Miche, Meng-Hiot Lim, Amaury Lendasse, Yew-Soon Ong
Meme representations for game agents. World Wide Web 18 (2) (2015)
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) (2014)
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 (2014)
Ramón Moreno, Francesco Corona, Amaury Lendasse, Manuel Graña, Lênio S. Galvão
Extreme learning machines for soybean classification in remote sensing hyperspectral images. Neurocomputing 128 (2014)
Qi Yu, Yoan Miche, Eric Séverin, Amaury Lendasse
Bankruptcy prediction using Extreme Learning Machine and financial expertise. Neurocomputing 128 (2014)
Amaury Lendasse, Qing He, Yoan Miche, Guang-Bin Huang
Advances in extreme learning machines (ELM2012). Neurocomputing 128 (2014)
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 (2014)
Emil Eirola, Amaury Lendasse, Vincent Vandewalle, Christophe Biernacki
Mixture of Gaussians for distance estimation with missing data. Neurocomputing 131 (2014)
Bo Han, Bo He, Tingting Sun, Mengmeng Ma, Amaury Lendasse
HSR: L1/2 Regularized Sparse Representation for Fast Face Recognition using Hierarchical Feature Selection. CoRR (2014)
Alexander Grigorievskiy, Yoan Miche, Anne-Mari Ventelä, Eric Séverin, Amaury Lendasse
Long-term time series prediction using OP-ELM. Neural Networks 51 (2014)
Shujing Zhang, Bo He, Rui Nian, Jing Wang, Bo Han, Amaury Lendasse, Guang Yuan
Fast Image Recognition Based on Independent Component Analysis and Extreme Learning Machine. Cogn. Comput. 6 (3) (2014)
Mark van Heeswijk, Amaury Lendasse, Yoan Miché
Compressive ELM: Improved Models through Exploiting Time-Accuracy Trade-Offs. EANN (2014)
Bo Han, Bo He, Rui Nian, Mengmeng Ma, Shujing Zhang, Minghui Li, Amaury Lendasse
LARSEN-ELM: Selective Ensemble of Extreme Learning Machines using LARS for Blended Data. CoRR (2014)
Yang Liu, Bo He, Diya Dong, Yue Shen, Tianhong Yan, Rui Nian, Amaury Lendasse
Robust OS-ELM with a novel selective ensemble based on particle swarm optimization. CoRR (2014)
Alberto Guillén, M. Isabel García Arenas, Mark van Heeswijk, Dusan Sovilj, Amaury Lendasse, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas
Fast Feature Selection in a GPU Cluster Using the Delta Test. Entropy 16 (2) (2014)
Emil Eirola, Amaury Lendasse, Francesco Corona, Michel Verleysen
The delta test: The 1-NN estimator as a feature selection criterion. IJCNN (2014)
Emil Eirola, Amaury Lendasse, Juha Karhunen
Variable selection for regression problems using Gaussian mixture models to estimate mutual information. IJCNN (2014)
Bo Han, Bo He, Mengmeng Ma, Tingting Sun, Tianhong Yan, Amaury Lendasse
RMSE-ELM: Recursive Model based Selective Ensemble of Extreme Learning Machines for Robustness Improvement. CoRR (2014)
Anton Akusok, David Veganzones, Yoan Miché, Eric Séverin, Amaury Lendasse
Finding Originally Mislabels with MD-ELM. ESANN (2014)
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) (2014)
Alberto Guillén, Amaury Lendasse, Guilherme A. Barreto
Data Preprocessing and Model Design for Medicine Problems. Comput. Math. Methods Medicine 2013 (2013)
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)
Patrick Kouontchou, Amaury Lendasse, Yoan Miché, Bertrand Maillet
Forecasting Financial Markets with Classified Tactical Signals. ESANN (2013)
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) (2013)
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)
Qi Yu, Yoan Miche, Emil Eirola, Mark van Heeswijk, Eric Séverin, Amaury Lendasse
Regularized extreme learning machine for regression with missing data. Neurocomputing 102 (2013)
Rui Nian, Bo He, Amaury Lendasse
3D object recognition based on a geometrical topology model and extreme learning machine. Neural Comput. Appl. 22 (3-4) (2013)
Andrej Gisbrecht, Yoan Miché, Barbara Hammer, Amaury Lendasse
Visualizing dependencies of spectral features using mutual information. ESANN (2013)
Benoît Frénay, Mark van Heeswijk, Yoan Miche, Michel Verleysen, Amaury Lendasse
Feature selection for nonlinear models with extreme learning machines. Neurocomputing 102 (2013)
Dusan Sovilj, Amaury Lendasse, Olli Simula
Extending Extreme Learning Machine with Combination Layer. IWANN (1) (2013)
Emil Eirola, Amaury Lendasse
Gaussian Mixture Models for Time Series Modelling, Forecasting, and Interpolation. IDA (2013)
Emil Eirola, Gauthier Doquire, Michel Verleysen, Amaury Lendasse
Distance estimation in numerical data sets with missing values. Inf. Sci. 240 (2013)
Andrej Gisbrecht, Dusan Sovilj, Barbara Hammer, Amaury Lendasse
Relevance learning for time series inspection. ESANN (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Amaury Lendasse