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Publication search results
found 13 matches
- 2020
- Amal El Fallah Seghrouchni, David Sarne:
Artificial Intelligence. IJCAI 2019 International Workshops - Macao, China, August 10-12, 2019, Revised Selected Best Papers. Lecture Notes in Computer Science 12158, Springer 2020, ISBN 978-3-030-56149-9 [contents] - 2019
- Ryuta Arisaka, Takayuki Ito
:
Numerical Abstract Persuasion Argumentation for Expressing Concurrent Multi-Agent Negotiations. IJCAI 2019: 131-149 - Mateusz Babieno, Rafal Rzepka
, Kenji Araki, Pawel Dybala:
Comparing Conceptual Metaphor Theory-Related Features Using Classification Algorithms in Searching for Expressions Used Figuratively Within Japanese Texts. IJCAI 2019: 195-212 - Anirudh Dahiya, Neeraj Battan, Manish Shrivastava
, Dipti Misra Sharma:
Curriculum Learning Strategies for Hindi-English Code-Mixed Sentiment Analysis. IJCAI 2019: 177-189 - Zhihang Hu
, Jason T. L. Wang
:
Generative Adversarial Networks for Video Prediction with Action Control. IJCAI 2019: 87-105 - Kiyoshi Izumi
, Hiroki Sakaji:
Economic Causal-Chain Search Using Text Mining Technology. IJCAI 2019: 23-35 - Andrea Loreggia
, Nicholas Mattei
, Francesca Rossi
, Kristen Brent Venable:
CPMetric: Deep Siamese Networks for Metric Learning on Structured Preferences. IJCAI 2019: 217-234 - Taisuke Sato
, Ryosuke Kojima
:
Logical Inference as Cost Minimization in Vector Spaces. IJCAI 2019: 239-255 - Dongxu Shao, Rajanikanth Annam:
Translation Embeddings for Knowledge Graph Completion in Consumer Banking Sector. IJCAI 2019: 5-17 - Phillip Smith
, Asad Khan, Aldeida Aleti, Vincent C. S. Lee, Robert A. Hunjet:
Data Communication Assistance via Swarm Robotic: A Behaviour Creation Comparison. IJCAI 2019: 111-126 - Tian Tian
, Richard S. Sutton:
Extending Sliding-Step Importance Weighting from Supervised Learning to Reinforcement Learning. IJCAI 2019: 67-82 - Peng Zhang, Xiaoyu Ge, Jochen Renz:
Support Relation Analysis for Objects in Multiple View RGB-D Images. IJCAI 2019: 41-61 - Le Zhang
, Jagannadan Varadarajan, Yong Pei:
Action Recognition Using Co-trained Deep Convolutional Neural Networks. IJCAI 2019: 155-172
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