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Machine learning algorithms

Evaluating the impact of multivariate imputation by MICE in feature selection

Maritza Mera-Gaona, Ursula Neumann, Rubiel Vargas-Canas, Diego M. López

Machine learning predicts treatment sensitivity in multiple myeloma based on molecular and clinical information coupled with drug response

Lucas Venezian Povoa, Carlos Henrique Costa Ribeiro, Israel Tojal da Silva

Pressure measurement in the reticulum to detect different behaviors of healthy cows

Josje Scheurwater, Miel Hostens, [ ... ], Hilde Aardema

The School Attachment Monitor—A novel computational tool for assessment of attachment in middle childhood

Maki Rooksby, Simona Di Folco, [ ... ], Helen Minnis

Survival prognostic factors in patients with acute myeloid leukemia using machine learning techniques

Keyvan Karami, Mahboubeh Akbari, [ ... ], Hossein Fallahi

PHOTONAI—A Python API for rapid machine learning model development

Ramona Leenings, Nils Ralf Winter, [ ... ], Tim Hahn

A community-powered search of machine learning strategy space to find NMR property prediction models

Lars A. Bratholm, Will Gerrard, [ ... ], David R. Glowacki

The influence of dataset homology and a rigorous evaluation strategy on protein secondary structure prediction

Teng-Ruei Chen, Chia-Hua Lo, Sheng-Hung Juan, Wei-Cheng Lo

Addressing cluster-constant covariates in mixed effects models via likelihood-based boosting techniques

Colin Griesbach, Andreas Groll, Elisabeth Bergherr

Exploration of physiological sensors, features, and machine learning models for pain intensity estimation

Fatemeh Pouromran, Srinivasan Radhakrishnan, Sagar Kamarthi

Predictions from algorithmic modeling result in better decisions than from data modeling for soybean iron deficiency chlorosis

Zhanyou Xu, Andreomar Kurek, Steven B. Cannon, William D. Beavis

Multiple imputation with compatibility for high-dimensional data

Faisal Maqbool Zahid, Shahla Faisal, Christian Heumann

A simple and robust method for automating analysis of naïve and regenerating peripheral nerves

Alison L. Wong, Nicholas Hricz, [ ... ], Sami Tuffaha

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