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Machine learning

Evolutionary model discovery of causal factors behind the socio-agricultural behavior of the Ancestral Pueblo

Chathika Gunaratne, Ivan Garibay

Efficient crowdsourcing of crowd-generated microtasks

Abigail Hotaling, James P. Bagrow

An embedded system for the automated generation of labeled plant images to enable machine learning applications in agriculture

Michael A. Beck, Chen-Yi Liu, [ ... ], Manisha Ajmani

Demonstration of the potential of white-box machine learning approaches to gain insights from cardiovascular disease electrocardiograms

Thilo Rieg, Janek Frick, Hermann Baumgartl, Ricardo Buettner

Real-time plant health assessment via implementing cloud-based scalable transfer learning on AWS DeepLens

Asim Khan, Umair Nawaz, Anwaar Ulhaq, Randall W. Robinson

Design deep neural network architecture using a genetic algorithm for estimation of pile bearing capacity

Tuan Anh Pham, Van Quan Tran, Huong-Lan Thi Vu, Hai-Bang Ly

Deep learning of cuneiform sign detection with weak supervision using transliteration alignment

Tobias Dencker, Pablo Klinkisch, Stefan M. Maul, Björn Ommer

Quantifying influence of human choice on the automated detection of Drosophila behavior by a supervised machine learning algorithm

Xubo Leng, Margot Wohl, [ ... ], Kenta Asahina

Traffic congestion prediction based on Estimated Time of Arrival

Noureen Zafar, Irfan Ul Haq

Imbalanced learning: Improving classification of diabetic neuropathy from magnetic resonance imaging

Kevin Teh, Paul Armitage, [ ... ], Iain D. Wilkinson

Optimised genetic algorithm-extreme learning machine approach for automatic COVID-19 detection

Musatafa Abbas Abbood Albadr, Sabrina Tiun, [ ... ], Faizal Amri Hamzah

Mapping risk of ischemic heart disease using machine learning in a Brazilian state

Marcela Bergamini, Pedro Henrique Iora, [ ... ], Luciano de Andrade

Interpretable PID parameter tuning for control engineering using general dynamic neural networks: An extensive comparison

Johannes Günther, Elias Reichensdörfer, Patrick M. Pilarski, Klaus Diepold

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