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Artificial intelligence

A hierarchical architecture for recognising intentionality in mental tasks on a brain-computer interface

Asier Salazar-Ramirez, Jose I. Martin, [ ... ], Basilio Sierra

A novel YOLOv3-arch model for identifying cholelithiasis and classifying gallstones on CT images

Shanchen Pang, Tong Ding, [ ... ], Xun Wang

Large-scale probabilistic identification of boreal peatlands using Google Earth Engine, open-access satellite data, and machine learning

Evan Ross DeLancey, Jahan Kariyeva, Jason T. Bried, Jennifer N. Hird

Improving Species Distribution Modelling of freshwater invasive species for management applications

Marta Rodríguez-Rey, Sofia Consuegra, Luca Börger, Carlos Garcia de Leaniz

A design of experiments approach for the rapid formulation of a chemically defined medium for metabolic profiling of industrially important microbes

Chloe Singleton, James Gilman, [ ... ], John Love

On the impact of Citizen Science-derived data quality on deep learning based classification in marine images

Daniel Langenkämper, Erik Simon-Lledó, [ ... ], Tim W. Nattkemper

Can we predict firms’ innovativeness? The identification of innovation performers in an Italian region through a supervised learning approach

Ilaria Gandin, Claudio Cozza

Fast optimization of non-negative matrix tri-factorization

Andrej Čopar, Blaž Zupan, Marinka Zitnik

Functional form estimation using oblique projection matrices for LS-SVM regression models

Alexander Caicedo, Carolina Varon, Sabine Van Huffel, Johan A. K. Suykens

Three-dimensional GPU-accelerated active contours for automated localization of cells in large images

Mahsa Lotfollahi, Sebastian Berisha, [ ... ], David Mayerich

Characterization of bovine (Bos taurus) imprinted genes from genomic to amino acid attributes by data mining approaches

Keyvan Karami, Saeed Zerehdaran, [ ... ], Hossein Fallahi

Prediction models for high risk of suicide in Korean adolescents using machine learning techniques

Jun Su Jung, Sung Jin Park, [ ... ], Kwang Gi Kim

Reproduction study using public data of: Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs

Mike Voets, Kajsa Møllersen, Lars Ailo Bongo

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