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AI Communications, Volume 33
Volume 33, Number 1, 2020
- Jing Tan, Lars Braubach, Kai Jander, Rongjun Xu, Kai Chen:
A novel multi-agent scheduling mechanism for adaptation of production plans in case of supply chain disruptions. 1-12 - Igor V. Kotenko, Lidiya Vitkova, Igor Saenko, Olga Tushkanova, Alexander Branitskiy:
The intelligent system for detection and counteraction of malicious and inappropriate information on the Internet. 13-25 - Diogo Ramos, Davide Carneiro, Paulo Novais:
Using a Genetic Algorithm to optimize a stacking ensemble in data streaming scenarios. 27-40 - Amelia Badica, Costin Badica, Mirjana Ivanovic:
Block structured scheduling using constraint logic programming. 41-57
Volume 33, Number 2, 2020
- Lingyu Ren, Youlong Yang, Liqin Sun, Xu Wu:
Grey-based multiple instance learning with multiple bag-representative. 59-73 - Ahana Roy Choudhury, Soheila Abrishami, Michael Turek, Piyush Kumar:
Enhancing profit from stock transactions using neural networks. 75-92 - Yasha Pushak, Zongxu Mu, Holger H. Hoos:
Empirical scaling analyzer: An automated system for empirical analysis of performance scaling. 93-111
Volume 33, Numbers 3-6, 2020
- Audrey Masson, Guillaume Cazenave, Julien Trombini, Martine Batt:
The current challenges of automatic recognition of facial expressions: A systematic review. 113-138 - Nikola Pizurica, Savo Tomovic:
An approach for outlier and novelty detection for text data based on classifier confidence. 139-153 - Pedro M. Fernandes, Francisco C. Santos, Manuel Lopes:
Norms for beneficial A.I.: A computational analysis of the societal value alignment problem. 155-171
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