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Machine learning

The Exploration-Exploitation Dilemma: A Multidisciplinary Framework

Oded Berger-Tal, Jonathan Nathan, Ehud Meron, David Saltz

Recognition of prokaryotic and eukaryotic promoters using convolutional deep learning neural networks

Ramzan Kh. Umarov, Victor V. Solovyev

Multi-Scale Approach for Predicting Fish Species Distributions across Coral Reef Seascapes

Simon J. Pittman, Kerry A. Brown

Driver behavior profiling: An investigation with different smartphone sensors and machine learning

Jair Ferreira Júnior, Eduardo Carvalho, [ ... ], Gustavo Pessin

Predicting the Direction of Stock Market Index Movement Using an Optimized Artificial Neural Network Model

Mingyue Qiu, Yu Song

Identification of Real MicroRNA Precursors with a Pseudo Structure Status Composition Approach

Bin Liu, Longyun Fang, [ ... ], Kuo-Chen Chou

Emotional Dynamics in the Age of Misinformation

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

Predicting Drug-Target Interactions for New Drug Compounds Using a Weighted Nearest Neighbor Profile

Twan van Laarhoven, Elena Marchiori

Towards Zero Training for Brain-Computer Interfacing

Matthias Krauledat, Michael Tangermann, Benjamin Blankertz, Klaus-Robert Müller

The “Reading the Mind in the Eyes” Test: Complete Absence of Typical Sex Difference in ~400 Men and Women with Autism

Simon Baron-Cohen, Daniel C. Bowen, [ ... ], Meng-Chuan Lai

Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning

Erico N. de Souza, Kristina Boerder, Stan Matwin, Boris Worm

PON-P2: Prediction Method for Fast and Reliable Identification of Harmful Variants

Abhishek Niroula, Siddhaling Urolagin, Mauno Vihinen

Speech Graphs Provide a Quantitative Measure of Thought Disorder in Psychosis

Natalia B. Mota, Nivaldo A. P. Vasconcelos, [ ... ], Sidarta Ribeiro

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