The following pages link to Scikit (Q20073):
Displaying 50 items.
- Data science applications to string theory (Q2187812) (← links)
- Nonlinear post-buckling and vibration of 2D penta-graphene composite plates (Q2191404) (← links)
- Separating the signal from the noise -- financial machine learning for Twitter (Q2191464) (← links)
- Distance geometry and data science (Q2192022) (← links)
- Physics-informed machine learning for backbone identification in discrete fracture networks (Q2192818) (← links)
- Temporal action detection with structured segment networks (Q2193848) (← links)
- ABBA: adaptive Brownian bridge-based symbolic aggregation of time series (Q2194039) (← links)
- Optimal classification of Gaussian processes in homo- and heteroscedastic settings (Q2195853) (← links)
- Integrated integer programming and decision diagram search tree with an application to the maximum independent set problem (Q2195980) (← links)
- Just interpolate: kernel ``ridgeless'' regression can generalize (Q2196223) (← links)
- A greedy search tree heuristic for symbolic regression (Q2198020) (← links)
- On the maximal number of real embeddings of minimally rigid graphs in \(\mathbb{R}^2,\mathbb{R}^3\) and \(S^2\) (Q2200306) (← links)
- Relational data imputation with quality guarantee (Q2200543) (← links)
- Convolutional neural network learning for generic data classification (Q2201683) (← links)
- Propositionalization and embeddings: two sides of the same coin (Q2203327) (← links)
- Anomaly detection with inexact labels (Q2203336) (← links)
- Robust classification via MOM minimization (Q2203337) (← links)
- Applicability and comparison of surrogate techniques for modeling of selected heating problems (Q2203542) (← links)
- Learning time-stepping by nonlinear dimensionality reduction to predict magnetization dynamics (Q2204477) (← links)
- Topological data analysis to model the shape of immune responses during co-infections (Q2204507) (← links)
- On the merits of sparse surrogates for global sensitivity analysis of multi-scale nonlinear problems: application to turbulence and fire-spotting model in wildland fire simulators (Q2207410) (← links)
- Computational exposition of multistable rhythms in 4-cell neural circuits (Q2207818) (← links)
- ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels (Q2212518) (← links)
- Data-driven discovery of PDEs in complex datasets (Q2214651) (← links)
- Learning with fuzzy hypergraphs: a topical approach to query-oriented text summarization (Q2215059) (← links)
- FEM based robust design optimization with Agros and Ārtap (Q2217161) (← links)
- Power spectral clustering (Q2217383) (← links)
- Unsupervised dimensionality reduction versus supervised regularization for classification from sparse data (Q2218343) (← links)
- Topical network embedding (Q2218399) (← links)
- Grafting for combinatorial binary model using frequent itemset mining (Q2218401) (← links)
- A comparative study of data-dependent approaches without learning in measuring similarities of data objects (Q2218403) (← links)
- AutoMSC: automatic assignment of Mathematics Subject Classification labels (Q2219407) (← links)
- Anomaly detection in scientific data using joint statistical moments (Q2220587) (← links)
- ROC and AUC with a binary predictor: a potentially misleading metric (Q2220698) (← links)
- Regression-based sparse polynomial chaos for uncertainty quantification of subsurface flow models (Q2222601) (← links)
- Density estimation techniques for multiscale coupling of kinetic models of the plasma material interface (Q2222666) (← links)
- Enhancing techniques for learning decision trees from imbalanced data (Q2228292) (← links)
- Data-driven identification of 2D partial differential equations using extracted physical features (Q2236988) (← links)
- Machine learning acceleration for nonlinear solvers applied to multiphase porous media flow (Q2237483) (← links)
- Belief functions clustering for epipole localization (Q2237543) (← links)
- ``That's (not) the output I expected!'' On the role of end user e I ctations in creating explanations of AI systems (Q2238691) (← links)
- Neural network regression for Bermudan option pricing (Q2239248) (← links)
- Complexes of tournaments, directionality filtrations and persistent homology (Q2240096) (← links)
- Solving a class of feature selection problems via fractional 0--1 programming (Q2241181) (← links)
- Norm ball classifier for one-class classification (Q2241193) (← links)
- Privacy considerations in participatory data collection via spatial Stackelberg incentive mechanisms (Q2241643) (← links)
- Predictive analytics for customer repurchase: interdisciplinary integration of buy till you die modeling and machine learning (Q2242311) (← links)
- Applying machine learning for the anticipation of complex nesting solutions in hierarchical production planning (Q2242334) (← links)
- Kriging metamodels-based multi-objective shape optimization applied to a multi-scale heat exchanger (Q2245306) (← links)
- Gene selection via a new hybrid ant colony optimization algorithm for cancer classification in high-dimensional data (Q2283785) (← links)
