Research output per year
Research output per year
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Dive into the research topics where Kasim Candan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Eigen-Entropy: A metric for multivariate sampling decisions
Huang, J., Yoon, H., Wu, T., Candan, K. S., Pradhan, O., Wen, J. & O'Neill, Z., Jan 2023, In: Information Sciences. 619, p. 84-97 14 p.Research output: Contribution to journal › Article › peer-review
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A cosine-based correlation information entropy approach for building automatic fault detection baseline construction
Huang, J., Yoon, H., Pradhan, O., Wu, T., Wen, J., O’neill, Z. & Candan, K. S., 2022, In: Science and Technology for the Built Environment. 28, 9, p. 1138-1149 12 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Causal Discovery for Feature Selection in Physical Process-Based Hydrological Systems
Sheth, P., Liu, T., Doner, D., Deng, Q., Wei, Y., Muenich, R., Sabo, J., Candan, K. S. & Liu, H., 2022, Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022. Tsumoto, S., Ohsawa, Y., Chen, L., Van den Poel, D., Hu, X., Motomura, Y., Takagi, T., Wu, L., Xie, Y., Abe, A. & Raghavan, V. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 5568-5577 10 p. (Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Causal Disentanglement with Network Information for Debiased Recommendations
Sheth, P., Guo, R., Ding, K., Cheng, L., Candan, K. S. & Liu, H., 2022, Similarity Search and Applications - 15th International Conference, SISAP 2022, Proceedings. Skopal, T., Lokoč, J., Falchi, F., Sapino, M. L., Bartolini, I. & Patella, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 265-273 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13590 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Evaluation Methods and Measures for Causal Learning Algorithms
Cheng, L., Guo, R., Moraffah, R., Sheth, P., Candan, K. S. & Liu, H., Dec 1 2022, In: IEEE Transactions on Artificial Intelligence. 3, 6, p. 924-943 20 p.Research output: Contribution to journal › Article › peer-review
3 Scopus citations
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PIRE: Building Decarbonization via AI-empowered District Heat Pump Systems
National Science Foundation (NSF)
1/1/23 → 12/31/25
Project: Research project
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PIPP Phase I: Predicting Emergence in Multidisciplinary Pandemic Tipping-points (PREEMPT)
National Science Foundation (NSF)
8/1/22 → 1/31/24
Project: Research project
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SCC-IRG JST: PanCommunity: Leveraging Data and Models for Understanding and Improving Community Response in Pandemics
National Science Foundation (NSF)
10/1/21 → 9/30/24
Project: Research project
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Designing nature to enhance resilience of built infrastructure in western US landscapes
Xu, T., Pavlic, T., Mascaro, G., Maciejewski, R., Liu, H., Wutich, A., Candan, K. & Muenich, R.
DOD-ARMY: Army Corps of Engineers (USACE)
9/24/21 → 9/28/23
Project: Research project
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Blockchain Applied Research Lab (BARC)
Candan, K., Grando, A., Bazzi, R. & Boscovic, D.
5/18/20 → 5/30/25
Project: Research project