Original Research
A Step Towards Global Counterfactual Explanations: Approximating the Feature Space Through Hierarchical Division and Graph Search
DOI: 10.54364/AAIML.2021.110711-Aug-2021
Maximilian Becker, Nadia Burkart, Pascal Birnstill, Jürgen Beyerer
Adv. Artif. Intell. Mach. Learn., 1 (2 ): 94-114
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Original Research
Development of a Pre-Diagnosis Tool Based on Machine Learning Algorithms on the BHK Test to Improve the Diagnosis of Dysgraphia
DOI: 10.54364/AAIML.2021.110812-Aug-2021
Louis Deschamps, Louis Devillaine, Clement Gaffet, Raphaël Lambert, Saifeddine Aloui, Jérôme Boutet, Vincent Brault, Etienne Labyt, Caroline Jolly
Adv. Artif. Intell. Mach. Learn., 1 (2 ): 114-135
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Review Article
Why Learning and Machine Learning Are Different
DOI: 10.54364/AAIML.2021.110920-Aug-2021
János Végh and Ádám József Berki
Adv. Artif. Intell. Mach. Learn., 1 (2 ): 136-154
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Original Research
Generation of Head Mirror Behavior and Facial Expression for Humanoid Robots
DOI: 10.54364/AAIML.2021.111030-Sep-2021
Yizhou Chen, Xiaofeng Liu, Jie Li, Tingting Zhang, Angelo Cangelosi
Adv. Artif. Intell. Mach. Learn., 1 (2 ): 155-170
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Original Research
The Climatic Temporal Feature Space: Continuous and Discrete
DOI: 10.54364/AAIML.2021.111130-Sep-2021
Christopher Small, Daniel Sousa
Adv. Artif. Intell. Mach. Learn., 1 (2 ): 171-190
Abstract PDF Citation Info via Semantic Scholar