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Machine learning

On Simplified Global Nonlinear Function for Fitness Landscape: A Case Study of Inverse Protein Folding

Yun Xu, Changyu Hu, Yang Dai, Jie Liang

Comparative Analyses between Retained Introns and Constitutively Spliced Introns in Arabidopsis thaliana Using Random Forest and Support Vector Machine

Rui Mao, Praveen Kumar Raj Kumar, [ ... ], Chun Liang

Efficient Transfer Entropy Analysis of Non-Stationary Neural Time Series

Patricia Wollstadt, Mario Martínez-Zarzuela, [ ... ], Michael Wibral

True Zero-Training Brain-Computer Interfacing – An Online Study

Pieter-Jan Kindermans, Martijn Schreuder, [ ... ], Michael Tangermann

Plant microRNA-Target Interaction Identification Model Based on the Integration of Prediction Tools and Support Vector Machine

Jun Meng, Lin Shi, Yushi Luan

Evolution with Reinforcement Learning in Negotiation

Yi Zou, Wenjie Zhan, Yuan Shao

An Unsupervised Text Mining Method for Relation Extraction from Biomedical Literature

Changqin Quan, Meng Wang, Fuji Ren

DFA7, a New Method to Distinguish between Intron-Containing and Intronless Genes

Chenglong Yu, Mo Deng, [ ... ], Stephen S.-T. Yau

Effective Automated Feature Construction and Selection for Classification of Biological Sequences

Uday Kamath, Kenneth De Jong, Amarda Shehu

Semi-Supervised Morphosyntactic Classification of Old Icelandic

Kryztof Urban, Timothy R. Tangherlini, Aurelijus Vijūnas, Peter M. Broadwell

Alien Plant Monitoring with Ultralight Airborne Imaging Spectroscopy

María Calviño-Cancela, Roi Méndez-Rial, Javier Reguera-Salgado, Julio Martín-Herrero

Predicting Co-Author Relationship in Medical Co-Authorship Networks

Qi Yu, Chao Long, [ ... ], Zhiguang Duan

QSAR-Based Models for Designing Quinazoline/Imidazothiazoles/Pyrazolopyrimidines Based Inhibitors against Wild and Mutant EGFR

Jagat Singh Chauhan, Sandeep Kumar Dhanda, [ ... ], Gajendra P. S. Raghava

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