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Support vector machines

Joint clustering and prediction approach for travel time prediction

Hima Elsa Shaji, Arun K. Tangirala, Lelitha Vanajakshi

COVID-19 infected cases in Canada: Short-term forecasting models

Mo’tamad H. Bata, Rupp Carriveau, [ ... ], Anneke R. Smit

Skin lesion classification using multi-resolution empirical mode decomposition and local binary pattern

Siti Salbiah Samsudin, Hamzah Arof, [ ... ], Mohd Yamani Idna Idris

Real-time and high precision feature matching between blur aerial images

Dongchen Dai, Lina Zheng, [ ... ], Qi Kang

An active learning-based approach for screening scholarly articles about the origins of SARS-CoV-2

Xin An, Mengmeng Zhang, Shuo Xu

Variational mode decomposition combined fuzzy—Twin support vector machine model with deep learning for solar photovoltaic power forecasting

Gobu Balraj, Aruldoss Albert Victoire, Jaikumar S., Amalraj Victoire

A training strategy for hybrid models to break the curse of dimensionality

Moein E. Samadi, Sandra Kiefer, [ ... ], Andreas Schuppert

Robust and efficient COVID-19 detection techniques: A machine learning approach

Md. Mahadi Hasan, Saba Binte Murtaz, [ ... ], Jasim Uddin

Classification and prediction for multi-cancer data with ultrahigh-dimensional gene expressions

Li-Pang Chen

Gnocis: An integrated system for interactive and reproducible analysis and modelling of cis-regulatory elements in Python 3

Bjørn André Bredesen-Aa, Marc Rehmsmeier

A feature selection-based framework to identify biomarkers for cancer diagnosis: A focus on lung adenocarcinoma

Omar Abdelwahab, Nourelislam Awad, Menattallah Elserafy, Eman Badr

Determinants of coronavirus disease 2019 infection by artificial intelligence technology: A study of 28 countries

Hsiao-Ya Peng, Yen-Kuang Lin, [ ... ], Christine Y. Lu

Critical analysis on the reproducibility of visual quality assessment using deep features

Franz Götz-Hahn, Vlad Hosu, Dietmar Saupe

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