Data Management Challenges in Production Machine Learning

Neoklis Polyzotis, Sudip Roy, Steven Euijong Whang

Using ``Annotator Rationales'' to Improve Machine Learning for Text Categorization

Omar F. Zaidan, Jason Eisner, Christine Piatko

Supervised Machine Learning Models for Prediction of COVID-19 Infection using Epidemiology Dataset

L. J. Muhammad, Ebrahem A. Algehyne, Sani Sharif Usman et al.

Urban flood risk mapping using the GARP and QUEST models: A comparative study of machine learning techniques

Hamid Darabi, Bahram Choubin, Omid Rahmati

A Useful Guide to Lectin Binding: Machine-Learning Directed Annotation of 57 Unique Lectin Specificities

Daniel Bojar, Lawrence Meche, Guanmin Meng

Gravity Spy: integrating advanced LIGO detector characterization, machine learning, and citizen science

M. Zevin, Scott Coughlin, Sara Bahaadini

Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the context of smart grid paradigm

Tanveer Ahmad, Rafał Madoński, Dongdong Zhang

Journal of Machine Learning

Federated Quantum Machine Learning

Samuel Yen-Chi Chen

Selecting Directors Using Machine Learning

Isil Erel, Léa H. Stern, Chenhao Tan

Machine Learning and Artificial Intelligence

Ameet V Joshi

Archetypal analysis for machine learning and data mining

Morten Mørup, Lars Kai Hansen