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Machine learning

A shallow convolutional neural network for blind image sharpness assessment

Shaode Yu, Shibin Wu, [ ... ], Leida Li

A novel framework for the identification of drug target proteins: Combining stacked auto-encoders with a biased support vector machine

Qi Wang, YangHe Feng, [ ... ], GuangQuan Cheng

Prediction of crime occurrence from multi-modal data using deep learning

Hyeon-Woo Kang, Hang-Bong Kang

Estimating optimal sparseness of developmental gene networks using a semi-quantitative model

Natsuhiro Ichinose, Tetsushi Yada, Hiroshi Wada

Evaluation of machine learning algorithms and structural features for optimal MRI-based diagnostic prediction in psychosis

Raymond Salvador, Joaquim Radua, [ ... ], Edith Pomarol-Clotet

Electricity forecasting on the individual household level enhanced based on activity patterns

Krzysztof Gajowniczek, Tomasz Ząbkowski

A hyper-temporal remote sensing protocol for high-resolution mapping of ecological sites

Jonathan J. Maynard, Jason W. Karl

Learning from label proportions in brain-computer interfaces: Online unsupervised learning with guarantees

David Hübner, Thibault Verhoeven, [ ... ], Pieter-Jan Kindermans

Predictive long-range allele-specific mapping of regulatory variants and target transcripts

Kibaick Lee, Seulkee Lee, Hyoeun Bang, Jung Kyoon Choi

Predicting functional decline and survival in amyotrophic lateral sclerosis

Mei-Lyn Ong, Pei Fang Tan, Joanna D. Holbrook

A general approach for predicting the behavior of the Supreme Court of the United States

Daniel Martin Katz, Michael J. Bommarito II, Josh Blackman

Sequential Monte Carlo-guided ensemble tracking

Yuru Wang, Qiaoyuan Liu, [ ... ], Shengsheng Wang

Use of a machine learning framework to predict substance use disorder treatment success

Laura Acion, Diana Kelmansky, [ ... ], Stephan Arndt

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