Ozyegin University
Our shared work concerned reasoning and learning when information is incomplete or uncertain; interpretable AI and how people assess its recommendations. The linked publications developed these topics through research models, methods and evaluations.
Papers and technical reports
Handling epistemic and aleatory uncertainties in probabilistic circuits
2022 · Machine Learning
Uncertainty-aware deep classifiers using generative models
2020 · AAAI 2020 - 34th AAAI Conference on Artificial Intelligence
Probabilistic logic programming with beta-distributed random variables
2019 · 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019
Uncertainty-Aware situational understanding
2019 · Proceedings of SPIE - The International Society for Optical Engineering
Interpretability of deep learning models: A survey of results
2018 · 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings
Learning and Reasoning in Complex Coalition Information Environments: A Critical Analysis
2018 · 2018 21st International Conference on Information Fusion, FUSION 2018
Subjective bayesian networks and human-in-the-loop situational understanding
2018 · Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Privacy enforcement through policy extension
2016 · Proceedings - IEEE Military Communications Conference MILCOM