output
20062026
most citedDeep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography

773 citations

Showing cs.LGShow all

7 papers · 1 filter

cs.LG2025★ 1 cited

Gated X-TFC: Soft Domain Decomposition for Forward and Inverse Problems in Sharp-Gradient PDEs

Vikas Dwivedi, Enrico Schiassi, Monica Sigovan +1

Physics-informed neural networks (PINNs) and related methods struggle to resolve sharp gradients in singularly perturbed boundary value problems without resorting to some form of d…

cs.LG2025★ 1 cited

dCMF: Learning interpretable evolving patterns from temporal multiway data

Christos Chatzis, Carla Schenker, Jérémy E. Cohen +1

Multiway datasets are commonly analyzed using unsupervised matrix and tensor factorization methods to reveal underlying patterns. Frequently, such datasets include timestamps and c…

cs.LG2024

Efficient Algorithms for Regularized Nonnegative Scale-invariant Low-rank Approximation Models

Jeremy E. Cohen, Valentin Leplat

Regularized nonnegative low-rank approximations, such as sparse Nonnegative Matrix Factorization or sparse Nonnegative Tucker Decomposition, form an important branch of dimensional…

cs.LG2021★ 29 cited

An AO-ADMM approach to constraining PARAFAC2 on all modes

Marie Roald, Carla Schenker, Vince D. Calhoun +4

Analyzing multi-way measurements with variations across one mode of the dataset is a challenge in various fields including data mining, neuroscience and chemometrics. For example,…

cs.LG2020★ 1 cited

Matrix-wise -constrained Sparse Nonnegative Least Squares

Nicolas Nadisic, Jeremy E Cohen, Arnaud Vandaele +1

Nonnegative least squares problems with multiple right-hand sides (MNNLS) arise in models that rely on additive linear combinations. In particular, they are at the core of most non…

cs.LG2019★ 16 cited

Glioma Grade Prediction Using Wavelet Scattering-Based Radiomics

Qijian Chen, Lihui Wang, Li Wang +3

Glioma grading before surgery is very critical for the prognosis prediction and treatment plan making. We present a novel wavelet scattering-based radiomic method to predict noninv…