Identifying and Comparing Multi-dimensional Student Profiles Across Flipped Classrooms

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Identifying and Comparing Multi-dimensional Student Profiles Across Flipped Classrooms

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Learning to Count from Pseudo-Labeled Segmentation

Graph sparsification, sketching and adaptivity

Future Changes in Dynamics of Extreme Precipitation and Dry Periods in the Swiss Alps and Consequences for Hydropower Production

Byzantine-Resilient Multi-Agent System

Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data

Protected Attributes Tell Us Who, Behavior Tells Us How: A Comparison of Demographic and Behavioral Oversampling for Fair Student Success Modeling

Matching Seqlets: An Unsupervised Approach for Locality Preserving Sequence Matching

Global Free-Energy Landscapes as a Smoothly Joined Collection of Local Maps

Better Guarantees for k-Means and Euclidean k-Median by Primal-Dual Algorithms

Graph Laplacian Mixture Model

Fair Colorful k-Center Clustering

Rigorous optimization recipes for sparse and low rank inverse problems with applications in data sciences

Clustering on Multi-Layer Graphs via Subspace Analysis on Grassmann Manifolds

A methodology for creating sequential multi-period base-case scenarios for large data sets

Computing the size and number of neuronal clusters in local circuits

Structural cluster analysis of chemical reactions in solution