RAAI Summer School

Publications

2019

Ildar Z. Batyrshin
Data Science: Similarity, Dissimilarity and Correlation Functions. RAAI Summer School (2019)
Oleg Sattarov
Natural Language Processing with DeepPavlov Library and Additional Semantic Features. RAAI Summer School (2019)
Tamás Gergely, László Úry
Mathematical Foundation of Cognitive Computing Based Artificial Intelligence. RAAI Summer School (2019)
Alexey Averkin
Hybrid Intelligent Systems Based on Fuzzy Logic and Deep Learning. RAAI Summer School (2019)
Galina V. Rybina, Elena S. Fontalina
Automated Acquisition, Representation and Processing of Temporal Knowledge in Dynamic Intelligent Systems. RAAI Summer School (2019)
Ali Younes, Aleksandr I. Panov
Toward Faster Reinforcement Learning for Robotics: Using Gaussian Processes. RAAI Summer School (2019)
Simon Mille
Selected Challenges in Grammar-Based Text Generation from the Semantic Web. RAAI Summer School (2019)
Ricardo R. Gudwin
A Review of Motivational Systems and Emotions in Cognitive Architectures and Systems. RAAI Summer School (2019)
Ermek Aitygulov
The Use of Reinforcement Learning in the Task of Moving Objects with the Robotic Arm. RAAI Summer School (2019)
Roni Stern
Multi-Agent Path Finding - An Overview. RAAI Summer School (2019)
Karina A. Gulyaeva, Irina L. Artemieva
Ontology Models in Intelligent System Engineering: A Case of the Knowledge-Intensive Application Domain. RAAI Summer School (2019)

volume 11866, 2019

Artificial Intelligence - 5th RAAI Summer School, Dolgoprudny, Russia, July 4-7, 2019, Tutorial Lectures RAAI Summer School 11866 (2019)