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Machine learning

Rapid detection of fast innovation under the pressure of COVID-19

Nicola Melluso, Andrea Bonaccorsi, Filippo Chiarello, Gualtiero Fantoni

Predicting self-harm within six months after initial presentation to youth mental health services: A machine learning study

Frank Iorfino, Nicholas Ho, [ ... ], Ian B. Hickie

Validation of motion tracking as tool for observational toothbrushing studies

Carolina Ganss, Patrick Klein, Katja Giese-Kraft, Michael Meyners

EXSEQREG: Explaining sequence-based NLP tasks with regions with a case study using morphological features for named entity recognition

Onur Güngör, Tunga Güngör, Suzan Uskudarli

Using enriched semantic event chains to model human action prediction based on (minimal) spatial information

Fatemeh Ziaeetabar, Jennifer Pomp, [ ... ], Florentin Wörgötter

Directions in abusive language training data, a systematic review: Garbage in, garbage out

Bertie Vidgen, Leon Derczynski

Distinguishing Discoid and Centripetal Levallois methods through machine learning

Irene González-Molina, Blanca Jiménez-García, [ ... ], Manuel Domínguez-Rodrigo

MeshCut data augmentation for deep learning in computer vision

Wei Jiang, Kai Zhang, Nan Wang, Miao Yu

Causal relations of health indices inferred statistically using the DirectLiNGAM algorithm from big data of Osaka prefecture health checkups

Jun’ichi Kotoku, Asuka Oyama, [ ... ], Toshiki Moriyama

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

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