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Advances in Artificial Intelligence and Machine Learning, Volume 1
Volume 1, Number 1, 2021
- Elisabete A. De Nadai Fernandes, Yuniel T. Mazola, Gabriel A. Sarriés, Márcio A. Bacchi, Peter Bode, Cláudio L. Gonzaga, Silvana R. V. Sarriés:
Discriminating Beef Producing Countries by Multi-Element Analysis and Machine Learning. 1-11 - Juan Carlos Figueroa García, Vladik Kreinovich:
How Accurate Are Fuzzy Control Recommendations: Interval-Valued Case. 12-25 - Magdi Sadek Mahmoud, Ayman Al-Nasser, Mutaz M. Hamdan:
Multi-Layer Learning Machines and Smart Sensor Applications. 26-47 - Nirmalya Thakur, Chia Y. Han:
Exoskeleton-Based Multimodal Action and Movement Recognition: Identifying and Developing the Optimal Boosted Learning Approach. 48-65 - Noelia Rico, Susana Montes, Irene Díaz:
Scraping Relative Chord Progressions Data for Genre Classification. 66-81 - Javier Viaña, Stephan Ralescu, Kelly Cohen, Vladik Kreinovich, Anca L. Ralescu:
Why Cauchy Membership Functions: Efficiency. 82-89
Volume 1, Number 2, 2021
- Maximilian Becker, Nadia Burkart, Pascal Birnstill, Jürgen Beyerer:
A Step Towards Global Counterfactual Explanations: Approximating the Feature Space Through Hierarchical Division and Graph Search. 90-110 - Louis Deschamps, Louis Devillaine, Clement Gaffet, Raphaël Lambert, Saifeddine Aloui, Jérôme Boutet, Vincent Brault, Etienne Labyt, Caroline Jolly:
Development of a Pre-Diagnosis Tool Based on Machine Learning Algorithms on the BHK Test to Improve the Diagnosis of Dysgraphia. 111-130 - János Végh, Ádám József Berki:
Why Learning and Machine Learning Are Different. 131-148 - Yizhou Chen, Xiaofeng Liu, Jie Li, Tingting Zhang, Angelo Cangelosi:
Generation of Head Mirror Behavior and Facial Expression for Humanoid Robots. 149-164 - Christopher Small, Daniel J. Sousa:
The Climatic Temporal Feature Space: Continuous and Discrete. 171-190
Volume 1, Number 3, 2021
- Richard F. Sear, Rhys Leahy, Nicholas Johnson Restrepo, Yonatan Lupu, Neil F. Johnson:
Machine Learning Language Models: Achilles Heel for Social Media Platforms and a Possible Solution. 191-202 - Daniel J. Sousa, Christopher Small:
Joint Characterization of Multiscale Information in High Dimensional Data. 203-220 - John Patterson, Chris S. Avery, Tyler Grear, Donald J. Jacobs:
Biased Hypothesis Formation From Projection Pursuit. 221-233 - Modou Mbaye, Alain Audebert:
Identification and Counting of Sorghum Panicles Using Artificial Intelligence Based Drone Field Phenotyping. 234-240 - Peter G. Goldschmidt:
Classification of Non-pharmacological Interventions for Managing Pandemics. 241-256
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