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Takehiro Sugiyama
- ESANN 2009 - Comparison between linear discrimination analysis and support vector machine for detection of pesticide on spinach leaf by hyperspectral imaging with excitation-emission matrix [Details]
- ESANN 2009 - Comparison between linear discrimination analysis and support vector machine for detection of pesticide on spinach leaf by hyperspectral imaging with excitation-emission matrix [Details]
- ESANN 2000 - A new information criterion for the selection of subspace models [Details]
- ESANN 2004 - Regularizing generalization error estimators: a novel approach to robust model selection [Details]
- ESANN 2017 - Large-scale nonlinear dimensionality reduction for network intrusion detection [Details]
- ESANN 2015 - Predicting the profitability of agricultural enterprises in dairy farming [Details]
- ESANN 2023 - On Instance Weighted Clustering Ensembles [Details]
- ESANN 2007 - Distinguishing between cause and effect via kernel-based complexity measures for conditional distributions [Details]
- ESANN 2007 - Exploring the causal order of binary variables via exponential hierarchies of Markov kernels [Details]
- ESANN 2007 - Learning causality by identifying common effects with kernel-based dependence measures [Details]
- ESANN 2023 - Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization? [Details]
- ESANN 2006 - Using sampling methods to improve binding site predictions [Details]
- ESANN 2010 - The Application of Gaussian Processes in the Prediction of Percutaneous Absorption for Mammalian and Synthetic Membranes [Details]
- ESANN 2017 - Investigating optical transmission error correction using wavelet transforms [Details]
- ESANN 2021 - Machine learning and data mining for urban mobility intelligence [Details]
- ESANN 2006 - Efficient Forward Regression with Marginal Likelihood [Details]
- ESANN 2010 - Curvilinear component analysis and Bregman divergences [Details]
- ESANN 2025 - Encoding Matters: Impact of Categorical Variable Encoding on Performance and Bias [Details]
- ESANN 2017 - Comparison of manual and semi-manual delineations for classifying glioblastoma multiforme patients based on histogram and texture MRI features [Details]
- 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]
- No papers found
- ESANN 2019 - Blind-spot network for image anomaly detection: A new approach to diabetic retinopathy screening [Details]
- ESANN 2008 - Approximation of Gaussian process regression models after training [Details]
- ESANN 2012 - Range-based non-orthogonal ICA using cross-entropy method [Details]
- ESANN 2000 - Sparse least squares Support Vector Machine classifiers [Details]
- ESANN 2000 - The K.U.Leuven competition data: a challenge for advanced neural network techniques [Details]
- ESANN 2001 - Automatic relevance determination for Least Squares Support Vector Machines classifiers [Details]
- ESANN 2002 - Prediction of mental development of preterm newborns at birth time using LS-SVM [Details]
- ESANN 2002 - The use of LS-SVM in the classification of brain tumors based on Magnetic Resonance Spectroscopy signals [Details]
- ESANN 2003 - Kernel PLS variants for regression [Details]
- ESANN 2004 - sparse LS-SVMs using additive regularization with a penalized validation criterion [Details]
- ESANN 2011 - Sparse LS-SVMs with L0–norm minimization [Details]
- ESANN 2011 - Symbolic computing of LS-SVM based models [Details]
- ESANN 2020 - Learning from partially labeled data [Details]
- ESANN 2022 - Recurrent Restricted Kernel Machines for Time-series Forecasting [Details]
- ESANN 2024 - Feature Learning using Multi-view Kernel Partial Least Squares [Details]
- ESANN 2025 - Generative Kernel Spectral Clustering [Details]
- ESANN 2016 - Clustering from two data sources using a kernel-based approach with weight coupling [Details]
- ESANN 2016 - Fast in-memory spectral clustering using a fixed-size approach [Details]
- ESANN 2016 - Spatio-temporal feature selection for black-box weather forecasting [Details]
- ESANN 2017 - Moving Least Squares Support Vector Machines for weather temperature prediction [Details]
- ESANN 2017 - Scalable Hybrid Deep Neural Kernel Networks [Details]
- ESANN 1995 - NLq theory: unifications in the theory of neural networks, systems and control [Details]
- ESANN 1998 - Improved generalization ability of neurocontrollers by imposing NLq stability constraints [Details]
- ESANN 2007 - Convex optimization for the design of learning machines [Details]
- ESANN 2008 - Survival SVM: a practical scalable algorithm [Details]
- ESANN 2009 - Transductively Learning from Positive Examples Only [Details]
- ESANN 2010 - Highly sparse kernel spectral clustering with predictive out-of-sample extensions [Details]
- ESANN 2010 - On the use of a clinical kernel in survival analysis [Details]
- ESANN 2012 - Interval coded scoring systems for survival analysis [Details]
- ESANN 2012 - Joint Regression and Linear Combination of Time Series for Optimal Prediction [Details]
- ESANN 2015 - Ranking Overlap and Outlier Points in Data using Soft Kernel Spectral Clustering [Details]
- ESANN 2018 - Generative Kernel PCA [Details]
- ESANN 2018 - Shallow and Deep Models for Domain Adaptation problems [Details]
- ESANN 2025 - Sleep Staging with Gradient Boosting and DWT-PSD Features from EEG/EOG Signals [Details]
- ESANN 2004 - Robust Bayesian Mixture Modelling [Details]