Explainable deep neural networks for multivariate time series predictions
- Roy Assaf
- Anika Schumann
- 2019
- IJCAI 2019
Publications
Date
Featured collections
Popular topics
31 results at IJCAI 2019
Protecting neural networks with hierarchical random switching: Towards better robustness-accuracy trade-off for stochastic defenses
- Xiao Wang
- Siyue Wang
- et al.
- 2019
- IJCAI 2019
Reconet: An interpretable neural architecture for recommender systems
- Francesco Fusco
- Michalis Vlachos
- et al.
- 2019
- IJCAI 2019
Balancing explicability and explanations for human-aware planning
- Tathagata Chakraborti
- Sarath Sreedharan
- et al.
- 2019
- IJCAI 2019
Aligning learning outcomes to learning resources: A lexico-semantic spatial approach
- Swarnadeep Saha
- Malolan Chetlur
- et al.
- 2019
- IJCAI 2019
Optimal exploitation of clustering and history information in multi-armed bandit
- Djallel Bouneffouf
- Srinivasan Parthasarathy
- et al.
- 2019
- IJCAI 2019
Topology attack and defense for graph neural networks: An optimization perspective
- Kaidi Xu
- Hongge Chen
- et al.
- 2019
- IJCAI 2019
Split Q learning: Reinforcement learning with two-stream rewards
- Baihan Lin
- Djallel Bouneffouf
- et al.
- 2019
- IJCAI 2019
Bayesian inference of linear temporal logic specifications for contrastive explanations
- Joseph Kim
- Christian Muise
- et al.
- 2019
- IJCAI 2019
DDL: Deep dictionary learning for predictive phenotyping
- Tianfan Fu
- Trong Nghia Hoang
- et al.
- 2019
- IJCAI 2019