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Jefrey Lijffijt
- ESANN 2016 - Informative data projections: a framework and two examples [Details]
- ESANN 2004 - Architectures for Nanoelectronic Neural Networks: New Results [Details]
- ESANN 2023 - On Instance Weighted Clustering Ensembles [Details]
- ESANN 2018 - Reinforcement Learning for High-Frequency Market Making [Details]
- ESANN 1998 - On the robust design of uncoupled CNNs [Details]
- ESANN 2006 - Freeform surface induction from projected planar curves via neural networks [Details]
- ESANN 2011 - Clustering data streams with weightless neural networks [Details]
- ESANN 2009 - A brief introduction to Weightless Neural Systems [Details]
- ESANN 2009 - Extracting fuzzy rules from “mental” images generated by a modified WISARD perceptron [Details]
- ESANN 2012 - Recognition of HIV-1 subtypes and antiretroviral drug resistance using weightless neural networks [Details]
- ESANN 2013 - B-bleaching: Agile Overtraining Avoidance in the WiSARD Weightless Neural Classifier [Details]
- ESANN 2013 - WIPS: the WiSARD Indoor Positioning System [Details]
- ESANN 2015 - A WiSARD-based multi-term memory framework for online tracking of objects [Details]
- ESANN 2016 - Semi-Supervised Classification of Social Textual Data Using WiSARD [Details]
- ESANN 2017 - Automatic crime report classi cation through a weightless neural network [Details]
- ESANN 2018 - Near-optimal facial emotion classification using a WiSARD-based weightless system [Details]
- ESANN 2024 - Leveraging Physics-Informed Neural Networks as Solar Wind Forecasting Models [Details]
- No papers found
- ESANN 2022 - A WiSARD-based conditional branch predictor [Details]
- ESANN 2022 - Distributive Thermometer: A New Unary Encoding for Weightless Neural Networks [Details]
- ESANN 2022 - Pruning Weightless Neural Networks [Details]
- ESANN 2023 - Sun Tracking using a Weightless Q-Learning Neural Network [Details]
- ESANN 2023 - WiSARD-based Ensemble Learning [Details]
- ESANN 2020 - Detection of elementary particles with the WiSARD n-tuple classifier [Details]
- ESANN 2020 - Fast Deep Neural Networks Convergence using a Weightless Neural Model [Details]
- ESANN 2020 - Interpretation of Model Agnostic Classifiers via Local Mental Images [Details]
- ESANN 2021 - A bag of nodes primer on weightless graph classification [Details]
- ESANN 2021 - Functional Gradient Descent for n-Tuple Regression [Details]
- ESANN 2014 - Online tracking of multiple objects using WiSARD [Details]
- ESANN 2019 - Prediction of palm oil production with an enhanced n-Tuple Regression Network [Details]
- ESANN 2020 - Interpretation of Model Agnostic Classifiers via Local Mental Images [Details]
- ESANN 2018 - Efficient accuracy estimation for instance-based incremental active learning [Details]
- ESANN 2014 - Enhanced NMF initialization using a physical model for pollution source apportionment [Details]
- ESANN 2019 - Application of deep neural networks for automatic planning in radiation oncology treatments [Details]
- ESANN 2001 - CMOS design of focal plane programmable array processors [Details]
- ESANN 2021 - Machine Learning for Measuring and Analyzing Online Social Communications [Details]
- ESANN 2024 - A Two-Stage Approach for Implicit Bias Detection in Generative Language Models [Details]
- ESANN 2018 - An extension of nonstationary fuzzy sets to heteroskedastic fuzzy time series [Details]
- ESANN 2021 - Orientation Adaptive Minimal Learning Machine for Directions of Atomic Forces [Details]
- ESANN 2023 - Feature Selection for Multi-label Classification with Minimal Learning Machine [Details]
- ESANN 1993 - Embedding knowledge ibto stochastic learning automata for fast solution ofbinary constraint satisfaction problems [Details]
- ESANN 2005 - Artificial intelligence techniques for the prediction of bladder cancer progression [Details]
- ESANN 2009 - Reservoir computing for static pattern recognition [Details]
- ESANN 2010 - An augmented efficient backpropagation training strategy for deep autoassociative neural networks [Details]
- ESANN 2011 - A brief tutorial on reinforcement learning: The game of Chung Toi [Details]
- ESANN 2012 - Hybrid hierarchical clustering: cluster assessment via cluster validation indices [Details]
- ESANN 2013 - An empirical analysis of reinforcement learning using design of experiments [Details]
- ESANN 2013 - Random Brains: An ensemble method for feature selection with neural networks [Details]
- ESANN 2021 - A Baseline for Shapley Values in MLPs: from Missingness to Neutrality [Details]
- ESANN 2022 - Attention-based Ingredient Phrase Parser [Details]
- ESANN 2023 - Rethink the Effectiveness of Text Data Augmentation: An Empirical Analysis [Details]
- No papers found
- ESANN 2021 - The Coming of Age of Interpretable and Explainable Machine Learning Models [Details]
- ESANN 2021 - The partial response SVM [Details]
- ESANN 2016 - Performance assessment of quantum clustering in non-spherical data distributions [Details]
- ESANN 2016 - Physics and Machine Learning: Emerging Paradigms [Details]
- ESANN 2006 - Learning what is important: feature selection and rule extraction in a virtual course [Details]
- ESANN 2011 - Seeing is believing: The importance of visualization in real-world machine learning applications [Details]
- ESANN 2011 - The role of Fisher information in primary data space for neighbourhood mapping [Details]
- ESANN 2012 - Constructing similarity networks using the Fisher information metric [Details]
- ESANN 2012 - Making machine learning models interpretable [Details]
- ESANN 2013 - Research directions in interpretable machine learning models [Details]
- ESANN 2015 - Measuring scoring efficiency through goal expectancy estimation [Details]
- ESANN 2018 - Bioinformatics and medicine in the era of deep learning [Details]
- ESANN 2019 - Societal Issues in Machine Learning: When Learning from Data is Not Enough [Details]