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Supervised machine learning

Emotional Dynamics in the Age of Misinformation

Fabiana Zollo, Petra Kralj Novak, [ ... ], Walter Quattrociocchi

A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis

Furqan Rustam, Madiha Khalid, [ ... ], Gyu Sang Choi

Figure-Associated Text Summarization and Evaluation

Balaji Polepalli Ramesh, Ricky J. Sethi, Hong Yu

Identifying disease genes using machine learning and gene functional similarities, assessed through Gene Ontology

Muhammad Asif, Hugo F. M. C. M. Martiniano, Astrid M. Vicente, Francisco M. Couto

Experienced mental workload, perception of usability, their interaction and impact on task performance

Luca Longo

Election forensics: Using machine learning and synthetic data for possible election anomaly detection

Mali Zhang, R. Michael Alvarez, Ines Levin

Intracranial pressure based decision making: Prediction of suspected increased intracranial pressure with machine learning

Tadashi Miyagawa, Minami Sasaki, Akira Yamaura

Automatic extraction of gene-disease associations from literature using joint ensemble learning

Balu Bhasuran, Jeyakumar Natarajan

A lexicon based method to search for extreme opinions

Sattam Almatarneh, Pablo Gamallo

A tree based eXtreme Gradient Boosting (XGBoost) machine learning model to forecast the annual rice production in Bangladesh

Mst Noorunnahar, Arman Hossain Chowdhury, Farhana Arefeen Mila

Machine learning for cell type classification from single nucleus RNA sequencing data

Huy Le, Beverly Peng, [ ... ], Richard H. Scheuermann

FeAture Explorer (FAE): A tool for developing and comparing radiomics models

Yang Song, Jing Zhang, [ ... ], Guang Yang

Deep learning prediction of pathological complete response, residual cancer burden, and progression-free survival in breast cancer patients

Hongyi Dammu, Thomas Ren, Tim Q. Duong

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