The following pages link to Scikit (Q20073):
Displaying 50 items.
- An expressive dissimilarity measure for relational clustering using neighbourhood trees (Q1698849) (← links)
- Cost-sensitive label embedding for multi-label classification (Q1698871) (← links)
- On coupling particle filter trajectories (Q1702025) (← links)
- Reconstruction of recurrent synaptic connectivity of thousands of neurons from simulated spiking activity (Q1704910) (← links)
- Metalearning and algorithm selection: progress, state of the art and introduction to the 2018 special issue (Q1707460) (← links)
- Effective DNA binding protein prediction by using key features via Chou's general PseAAC (Q1716796) (← links)
- CFSBoost: cumulative feature subspace boosting for drug-target interaction prediction (Q1717082) (← links)
- Robust \(H_\infty\) control for nonlinear uncertain switched descriptor systems with time delay and nonlinear input: a sliding mode approach (Q1722707) (← links)
- Profiled power analysis attacks using convolutional neural networks with domain knowledge (Q1726696) (← links)
- Statistics for data with geometric structure. Abstracts from the workshop held January 21--27, 2018 (Q1731971) (← links)
- Supervised learning with decision margins in pools of spiking neurons (Q1732642) (← links)
- Logical analysis of data as a tool for the analysis of probabilistic discrete choice behavior (Q1734841) (← links)
- Machine learning meets mathematical optimization to predict the optimal production of offshore wind parks (Q1734857) (← links)
- A domain decomposition non-intrusive reduced order model for turbulent flows (Q1735013) (← links)
- Credit spread approximation and improvement using random forest regression (Q1735198) (← links)
- Scenario screen: a dynamic and context dependent P300 stimulator screen aimed at wheelchair navigation control (Q1737329) (← links)
- Maximization of AUC and buffered AUC in binary classification (Q1739053) (← links)
- Differentially private nearest neighbor classification (Q1741355) (← links)
- Model-based and actual independence for fairness-aware classification (Q1741377) (← links)
- Box-counting dimensions of generalised fractal nests (Q1755327) (← links)
- CCR: a combined cleaning and resampling algorithm for imbalanced data classification (Q1787035) (← links)
- Learning analysis strategies for Octagon and context sensitivity from labeled data generated by static analyses (Q1791273) (← links)
- An improved approach for estimating the hyperparameters of the Kriging model for high-dimensional problems through the partial least squares method (Q1793472) (← links)
- A SAT-based approach to learn explainable decision sets (Q1799125) (← links)
- A blackbox yield estimation workflow with Gaussian process regression applied to the design of electromagnetic devices (Q1980858) (← links)
- Vulnerability of classifiers to evolutionary generated adversarial examples (Q1982418) (← links)
- Hyperparameter optimization in learning systems (Q1983037) (← links)
- Minimax semi-supervised set-valued approach to multi-class classification (Q1983613) (← links)
- Meta-modeling game for deriving theory-consistent, microstructure-based traction-separation laws via deep reinforcement learning (Q1986877) (← links)
- Machine-learning error models for approximate solutions to parameterized systems of nonlinear equations (Q1987897) (← links)
- An iterative Bayesian filtering framework for fast and automated calibration of DEM models (Q1987979) (← links)
- Error estimation of the parametric non-intrusive reduced order model using machine learning (Q1988235) (← links)
- A novel approach for detecting the horizon using a convolutional neural network and multi-scale edge detection (Q2002385) (← links)
- Direct cellularity estimation on breast cancer histopathology images using transfer learning (Q2003647) (← links)
- Ensemble feature selection using election methods and ranker clustering (Q2004741) (← links)
- A manifold-based approach to sparse global constraint satisfaction problems (Q2010101) (← links)
- Learning when to use a decomposition (Q2011591) (← links)
- Optimal Bayesian experimental design for subsurface flow problems (Q2020243) (← links)
- A non-cooperative meta-modeling game for automated third-party calibrating, validating and falsifying constitutive laws with parallelized adversarial attacks (Q2020834) (← links)
- A two-stage surrogate model for neo-Hookean problems based on adaptive proper orthogonal decomposition and hierarchical tensor approximation (Q2020966) (← links)
- Physics-informed machine learning models for predicting the progress of reactive-mixing (Q2021234) (← links)
- Finite element solver for data-driven finite strain elasticity (Q2021912) (← links)
- Adapted single-cell consensus clustering (adaSC3) (Q2022498) (← links)
- The design of variable-length coding matrix for improving error correcting output codes (Q2023204) (← links)
- Basic quantum circuits for classification and approximation tasks (Q2023586) (← links)
- Julia language in machine learning: algorithms, applications, and open issues (Q2026295) (← links)
- Predicting mortgage early delinquency with machine learning methods (Q2029349) (← links)
- Machine learning feature analysis illuminates disparity between E3SM climate models and observed climate change (Q2029637) (← links)
- Optimization problems for machine learning: a survey (Q2029894) (← links)
- Hyperparameter optimization for recommender systems through Bayesian optimization (Q2033691) (← links)
