| 2026 | ESANN | The Alignment Gate: Intent and Instruction Guardrails for Agentic AI. | Akash Borigi, Peggy Lindner, Alexander Schlager, Saifullah Shoaib, Rupendra Lekkala, Sai Sowjanya Bhamidipati, Amaury Lendasse |
| 2024 | ESANN | A Two-Stage Approach for Implicit Bias Detection in Generative Language Models. | Jeremy Edwards, Renjie Hu, Amaury Lendasse, Alexander Schlager, Peggy Lindner |
| 2023 | IWANN | Acid Sulfate Soils Classification and Prediction from Environmental Covariates Using Extreme Learning Machines. | Tamirat Atsemegiorgis, Leonardo Espinosa Leal, Amaury Lendasse, Stefan Mattbck, Kaj-Mikael Bjrk, Anton Akusok |
| 2023 | IWANN | X-ELM: A Fast Explainability Approach for Extreme Learning Machines. | Brandon Warner, Edward R. Ratner, Amaury Lendasse |
| 2021 | ESANN | Machine Learning for Measuring and Analyzing Online Social Communications. | Chris Bronk, Amaury Lendasse, Peggy Lindner, Dan S. Wallach, Barbara Hammer |
| 2021 | ESANN | A Multi-ELM Model for Incomplete Data. | Baichuan Chi, Amaury Lendasse, Edward R. Ratner, Renjie Hu |
| 2021 | ESANN | NNBMSS: a Novel and Fast Method for Model Structure Selection. | Amaury Lendasse, Kallin Khan, Edward R. Ratner |
| 2020 | IJCNN | Feature Bagging and Extreme Learning Machines: Machine Learning with Severe Memory Constraints. | Kallin Khan, Edward R. Ratner, Robert Ludwig, Amaury Lendasse |
| 2018 | IJCNN | ELM-SOM: A Continuous Self-Organizing Map for Visualization. | Renjie Hu, Venous Roshdibenam, Hans J. Johnson, Emil Eirola, Anton Akusok, Yoan Miche, Kaj-Mikael Bjrk, Amaury Lendasse |
| 2017 | ESANN | Advanced query strategies for Active Learning with Extreme Learning Machines. | Anton Akusok, Emil Eirola, Yoan Mich, Andrey Gritsenko, Amaury Lendasse |
| 2017 | HAIS | Solve Classification Tasks with Probabilities. Statistically-Modeled Outputs. | Andrey Gritsenko, Emil Eirola, Daniel Schupp, Edward R. Ratner, Amaury Lendasse |
| 2017 | IJCNN | A low-dimensional vector representation for words using an extreme learning machine. | Paula Lauren, Guangzhi Qu, Guang-Bin Huang, Paul Watta, Amaury Lendasse |
| 2016 | IJCNN | Combined nonlinear visualization and classification: ELMVIS++C. | Andrey Gritsenko, Anton Akusok, Yoan Mich, Kaj-Mikael Bjrk, Stephen Baek, Amaury Lendasse |
| 2016 | IJCNN | Clinical narrative classification using discriminant word embeddings with ELM. | Paula Lauren, Guangzhi Qu, Feng Zhang, Amaury Lendasse |
| 2015 | ESANN | Towards a Tomographic Index of Systemic Risk Measures. | Kaj-Mikael Bjrk, Patrick Kouontchou, Amaury Lendasse, Yoan Mich, Bertrand Maillet |
| 2015 | IWANN | Extreme Learning Machines for Multiclass Classification: Refining Predictions with Gaussian Mixture Models. | Emil Eirola, Andrey Gritsenko, Anton Akusok, Kaj-Mikael Bjrk, Yoan Miche, Dusan Sovilj, Rui Nian, Bo He, Amaury Lendasse |
| 2015 | TrustCom | Efficient Detection of Zero-day Android Malware Using Normalized Bernoulli Naive Bayes. | Luiza Sayfullina, Emil Eirola, Dmitry Komashinsky, Paolo Palumbo, Yoan Mich, Amaury Lendasse, Juha Karhunen |
| 2014 | EANN | Compressive ELM: Improved Models through Exploiting Time-Accuracy Trade-Offs. | Mark van Heeswijk, Amaury Lendasse, Yoan Mich |
| 2014 | ESANN | Finding Originally Mislabels with MD-ELM. | Anton Akusok, David Veganzones, Yoan Mich, Eric Sverin, Amaury Lendasse |
| 2014 | IJCNN | The delta test: The 1-NN estimator as a feature selection criterion. | Emil Eirola, Amaury Lendasse, Francesco Corona, Michel Verleysen |
| 2014 | IJCNN | Variable selection for regression problems using Gaussian mixture models to estimate mutual information. | Emil Eirola, Amaury Lendasse, Juha Karhunen |
| 2013 | ESANN | Visualizing dependencies of spectral features using mutual information. | Andrej Gisbrecht, Yoan Mich, Barbara Hammer, Amaury Lendasse |
| 2013 | ESANN | Forecasting Financial Markets with Classified Tactical Signals. | Patrick Kouontchou, Amaury Lendasse, Yoan Mich, Bertrand Maillet |
| 2013 | IDA | Gaussian Mixture Models for Time Series Modelling, Forecasting, and Interpolation. | Emil Eirola, Amaury Lendasse |
| 2013 | IWANN | Minimal Learning Machine: A New Distance-Based Method for Supervised Learning. | Amauri Holanda de Souza Jnior, Francesco Corona, Yoan Miche, Amaury Lendasse, Guilherme A. Barreto, Olli Simula |
| 2013 | IWANN | Extreme Learning Machine: A Robust Modeling Technique? Yes! | Amaury Lendasse, Anton Akusok, Olli Simula, Francesco Corona, Mark van Heeswijk, Emil Eirola, Yoan Miche |
| 2013 | IWANN | Extending Extreme Learning Machine with Combination Layer. | Dusan Sovilj, Amaury Lendasse, Olli Simula |
| 2012 | ESANN | Relevance learning for time series inspection. | Andrej Gisbrecht, Dusan Sovilj, Barbara Hammer, Amaury Lendasse |
| 2011 | CIS | Methodology for Behavioral-based Malware Analysis and Detection Using Random Projections and K-Nearest Neighbors Classifiers. | Jozsef Hegedus, Yoan Miche, Alexander Ilin, Amaury Lendasse |
| 2011 | ESANN | Adaptive Kernel Smoothing Regression for Spatio-Temporal Environmental Datasets. | Federico Montesino-Pouzols, Amaury Lendasse |
| 2011 | ESANN | Locating Anomalies Using Bayesian Factorizations and Masks. | Li Yao, Amaury Lendasse, Francesco Corona |
| 2010 | ESANN | Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs. | Mark van Heeswijk, Yoan Miche, Erkki Oja, Amaury Lendasse |
| 2010 | ESANN | 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 |
| 2010 | ESANN | Machine Learning Techniques based on Random Projections. | Yoan Miche, Benjamin Schrauwen, Amaury Lendasse |
| 2010 | IC3K | Interpreting Extreme Learning Machine as an Approximation to an Infinite Neural Network. | Elina Parviainen, Jaakko Riihimki, Yoan Miche, Amaury Lendasse |
| 2010 | IJCNN | Effect of different detrending approaches on computational intelligence models of time series. | Federico Montesino-Pouzols, Amaury Lendasse |
| 2009 | ESANN | Applying Mutual Information for Prototype or Instance Selection in Regression Problems. | Alberto Guilln, Luis Javier Herrera, Gins Rubio, Hctor Pomares, Amaury Lendasse, Ignacio Rojas |
| 2009 | ESANN | X-SOM and L-SOM: a nested approach for missing value imputation. | Paul Merlin, Antti Sorjamaa, Bertrand Maillet, Amaury Lendasse |
| 2009 | ESANN | A faster model selection criterion for OP-ELM and OP-KNN: Hannan-Quinn criterion. | Yoan Miche, Amaury Lendasse |
| 2009 | ICANN | Mutual Information Based Initialization of Forward-Backward Search for Feature Selection in Regression Problems. | Alberto Guilln, Antti Sorjamaa, Gins Rubio, Amaury Lendasse, Ignacio Rojas |
| 2009 | ICANN | 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 |
| 2009 | IJCNN | Long-term prediction of time series by combining direct and MIMO strategies. | Souhaib Ben Taieb, Gianluca Bontempi, Antti Sorjamaa, Amaury Lendasse |
| 2009 | IWANN | Efficient Parallel Feature Selection for Steganography Problems. | Alberto Guilln, Antti Sorjamaa, Yoan Miche, Amaury Lendasse, Ignacio Rojas |
| 2009 | IWANN | RCGA-S/RCGA-SP Methods to Minimize the Delta Test for Regression Tasks. | Fernando Mateo, Dusan Sovilj, Rafael Gadea Girons, Amaury Lendasse |
| 2008 | ESANN | Using the Delta Test for Variable Selection. | Emil Eirola, Elia Liitiinen, Amaury Lendasse, Francesco Corona, Michel Verleysen |
| 2008 | ESANN | Linear Projection based on Noise Variance Estimation - Application to Spectral Data. | Amaury Lendasse, Francesco Corona |
| 2008 | ESANN | A Methodology for Building Regression Models using Extreme Learning Machine: OP-ELM. | Yoan Miche, Patrick Bas, Christian Jutten, Olli Simula, Amaury Lendasse |
| 2008 | HIS | Optimal Pruned K-Nearest Neighbors: OP-KNN - Application to Financial Modeling. | Qi Yu, Antti Sorjamaa, Yoan Miche, Amaury Lendasse, Eric Sverin, Alberto Guilln, Fernando Mateo |
| 2008 | ICANN | OP-ELM: Theory, Experiments and a Toolbox. | Yoan Miche, Antti Sorjamaa, Amaury Lendasse |
| 2008 | IJCNN | Long-term prediction of time series using NNE-based projection and OP-ELM. | Antti Sorjamaa, Yoan Miche, Robert Weiss, Amaury Lendasse |
| 2007 | ESANN | Nearest Neighbor Distributions and Noise Variance Estimation. | Elia Liitiinen, Francesco Corona, Amaury Lendasse |
| 2007 | ESANN | SOM+EOF for finding missing values. | Antti Sorjamaa, Paul Merlin, Bertrand Maillet, Amaury Lendasse |
| 2007 | ICASSP | State-of-the-Art and Evolution in Public Data Sets and Competitions for System Identification, Time Series Prediction and Pattern Recognition. | Joos Vandewalle, Johan A. K. Suykens, Bart De Moor, Amaury Lendasse |
| 2007 | IJCNN | Variable Scaling for Time Series Prediction: Application to the ESTSP'07 and the NN3 Forecasting Competitions. | Amaury Lendasse, Elia Liitiinen |
| 2007 | IJCNN | Time Series Prediction as a Problem of Missing Values: Application to ESTSP2007 and NN3 Competition Benchmarks. | Antti Sorjamaa, Amaury Lendasse |
| 2007 | IWANN | Gaussian Fitting Based FDA for Chemometrics. | Tuomas Krn, Amaury Lendasse |
| 2007 | IWANN | Non-parametric Residual Variance Estimation in Supervised Learning. | Elia Liitiinen, Amaury Lendasse, Francesco Corona |
| 2007 | IWANN | Advantages of Using Feature Selection Techniques on Steganalysis Schemes. | Yoan Miche, Patrick Bas, Amaury Lendasse, Christian Jutten, Olli Simula |
| 2006 | ESANN | LS-SVM functional network for time series prediction. | Tuomas Krn, Fabrice Rossi, Amaury Lendasse |
| 2006 | ESANN | Determination of the Mahalanobis matrix using nonparametric noise estimations. | Amaury Lendasse, Francesco Corona, Jin Hao, Nima Reyhani, Michel Verleysen |
| 2006 | ESANN | EM-algorithm for training of state-space models with application to time series prediction. | Elia Liitiinen, Nima Reyhani, Amaury Lendasse |
| 2006 | ESANN | Time series prediction using DirRec strategy. | Antti Sorjamaa, Amaury Lendasse |
| 2006 | ICANN | Long-Term Prediction of Time Series Using State-Space Models. | Elia Liitiinen, Amaury Lendasse |
| 2006 | ICANN | Analysis of Fast Input Selection: Application in Time Series Prediction. | Jarkko Tikka, Amaury Lendasse, Jaakko Hollmn |
| 2005 | ESANN | Mutual information and gamma test for input selection. | Nima Reyhani, Jin Hao, Yongnan Ji, Amaury Lendasse |
| 2005 | ESANN | Pruned lazy learning models for time series prediction. | Antti Sorjamaa, Amaury Lendasse, Michel Verleysen |
| 2005 | ICANN | LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator. | Amaury Lendasse, Yongnan Ji, Nima Reyhani, Michel Verleysen |
| 2005 | ICANN | Mutual Information and | Antti Sorjamaa, Jin Hao, Amaury Lendasse |
| 2005 | IWANN | Direct and Recursive Prediction of Time Series Using Mutual Information Selection. | Yongnan Ji, Jin Hao, Nima Reyhani, Amaury Lendasse |
| 2005 | IWANN | Input and Structure Selection for k-NN Approximator. | Antti Sorjamaa, Nima Reyhani, Amaury Lendasse |
| 2005 | IWANN | Input Selection for Long-Term Prediction of Time Series. | Jarkko Tikka, Jaakko Hollmn, Amaury Lendasse |
| 2004 | ESANN | Fast bootstrap for least-square support vector machines. | Amaury Lendasse, Geoffroy Simon, Vincent Wertz, Michel Verleysen |
| 2004 | IJCNN | Fast bootstrap applied to LS-SVM for long term prediction of time series. | Amaury Lendasse, Vincent Wertz, Geoffroy Simon, Michel Verleysen |
| 2003 | ESANN | Fast approximation of the bootstrap for model selection. | Geoffroy Simon, Amaury Lendasse, Vincent Wertz, Michel Verleysen |
| 2003 | ICANN | Model Selection with Cross-Validations and Bootstraps - Application to Time Series Prediction with RBFN Models. | Amaury Lendasse, Vincent Wertz, Michel Verleysen |
| 2003 | ICCS | Nonlinear Time Series Prediction by Weighted Vector Quantization. | Amaury Lendasse, Damien Franois, Vincent Wertz, Michel Verleysen |
| 2003 | IWANN | Bootstrap for Model Selection: Linear Approximation of the Optimism. | Geoffroy Simon, Amaury Lendasse, Michel Verleysen |
| 2002 | ESANN | Width optimization of the Gaussian kernels in Radial Basis Function Networks. | Nabil Benoudjit, Cdric Archambeau, Amaury Lendasse, John Aldo Lee, Michel Verleysen |
| 2002 | ESANN | Curvilinear Distance Analysis versus Isomap. | John Aldo Lee, Amaury Lendasse, Michel Verleysen |
| 2001 | ESANN | Input data reduction for the prediction of financial time series. | Amaury Lendasse, John Aldo Lee, Eric de Bodt, Vincent Wertz, Michel Verleysen |
| 2000 | ESANN | A robust non-linear projection method. | John Aldo Lee, Amaury Lendasse, Nicolas Donckers, Michel Verleysen |
| 2000 | ESANN | Time series forecasting using CCA and Kohonen maps - application to electricity consumption. | Amaury Lendasse, John Aldo Lee, Vincent Wertz, Michel Verleysen |
| 1999 | ESANN | Extraction of intrinsic dimension using CCA - Application to blind sources separation. | Nicolas Donckers, Amaury Lendasse, Vincent Wertz, Michel Verleysen |
| 1999 | IWANN | Forecasting Financial Time Series through Intrinsic Dimension Estimation and Non-Linear Data Projection. | Michel Verleysen, Eric de Bodt, Amaury Lendasse |
| 1998 | ESANN | Forecasting time-series by Kohonen classification. | Amaury Lendasse, Michel Verleysen, Eric de Bodt, Marie Cottrell, Philippe Grgoire |