output
20112026
most citedOptimization Problems for Machine Learning: A Survey

373 citations

Showing 2021Show all

7 papers · 1 filter

eess.IV2021★ 16 cited

The Federated Tumor Segmentation (FeTS) Challenge

Sarthak Pati, Ujjwal Baid, Maximilian Zenk +29

This manuscript describes the first challenge on Federated Learning, namely the Federated Tumor Segmentation (FeTS) challenge 2021. International challenges have become the standar…

cs.LG2021★ 3 cited

Deep EHR Spotlight: a Framework and Mechanism to Highlight Events in Electronic Health Records for Explainable Predictions

Thanh Nguyen-Duc, Natasha Mulligan, Gurdeep S. Mannu +1

The wide adoption of Electronic Health Records (EHR) has resulted in large amounts of clinical data becoming available, which promises to support service delivery and advance clini…

cs.AI2021★ 19 cited

MILP for the Multi-objective VM Reassignment Problem

Takfarinas Saber, Anthony Ventresque, Joao Marques-Silva +2

Machine Reassignment is a challenging problem for constraint programming (CP) and mixed-integer linear programming (MILP) approaches, especially given the size of data centres. The…

cs.LG2021

Knowledge- and Data-driven Services for Energy Systems using Graph Neural Networks

Francesco Fusco, Bradley Eck, Robert Gormally +2

The transition away from carbon-based energy sources poses several challenges for the operation of electricity distribution systems. Increasing shares of distributed energy resourc…

cs.LG2021★ 7 cited

AutoAI-TS: AutoAI for Time Series Forecasting

Syed Yousaf Shah, Dhaval Patel, Long Vu +10

A large number of time series forecasting models including traditional statistical models, machine learning models and more recently deep learning have been proposed in the literat…

cs.DC2021★ 1 cited

Dataset Lifecycle Framework and its applications in Bioinformatics

Yiannis Gkoufas, David Yu Yuan

Bioinformatics pipelines depend on shared POSIX filesystems for its input, output and intermediate data storage. Containerization makes it more difficult for the workloads to acces…