Articles with public access mandates - K. Selcuk CandanLearn more
Not available anywhere: 5
Decomposition-by-normalization (DBN): leveraging approximate functional dependencies for efficient CP and tucker decompositions
M Kim, KS Candan
Data mining and knowledge discovery 30, 1-46, 2016
Mandates: US National Science Foundation
Stcd: A spatio-temporal causal discovery framework for hydrological systems
P Sheth, R Shah, J Sabo, KS Candan, H Liu
2022 IEEE International Conference on Big Data (Big Data), 5578-5583, 2022
Mandates: US Department of Defense
W2FM: The Doubly-Warped Factorization Machine
ML Li, KS Candan
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 485-497, 2021
Mandates: US National Science Foundation, European Commission
Complicacy-guided parameter space sampling for knowledge discovery with limited simulation budgets
X Chen, L Mathesen, G Pedrielli, KS Candan
2019 IEEE International Conference on Big Knowledge (ICBK), 50-57, 2019
Mandates: US National Science Foundation, European Commission
Guest Editorial: Special Issue on Big Scholar Data Discovery and Collaboration (Continued).
YR Lin, H Tong, J Tang, KS Candan
IEEE Trans. Big Data 2 (2), 100, 2016
Mandates: National Natural Science Foundation of China
Available somewhere: 59
Evaluation methods and measures for causal learning algorithms
L Cheng, R Guo, R Moraffah, P Sheth, KS Candan, H Liu
IEEE Transactions on Artificial Intelligence 3 (6), 924-943, 2022
Mandates: US National Science Foundation, US Department of Defense
epiDMS: data management and analytics for decision-making from epidemic spread simulation ensembles
S Liu, S Poccia, KS Candan, G Chowell, ML Sapino
The Journal of infectious diseases 214 (suppl_4), S427-S432, 2016
Mandates: US National Science Foundation
A critical review of cyber-physical security for building automation systems
G Li, L Ren, Y Fu, Z Yang, V Adetola, J Wen, Q Zhu, T Wu, KS Candan, ...
Annual Reviews in Control 55, 237-254, 2023
Mandates: US Department of Energy, US Department of Defense
Data integration in the service of synthetic research
KW Kintigh, KA Spielmann, A Brin, KS Candan, TC Clark, M Peeples
Advances in Archaeological Practice 6 (1), 30-41, 2018
Mandates: US National Science Foundation
Ignite: A minimax game toward learning individual treatment effects from networked observational data
R Guo, J Li, Y Li, KS Candan, A Raglin, H Liu
Proceedings of the Twenty-Ninth International Conference on International …, 2021
Mandates: US National Science Foundation
Decreasing loneliness and social disconnectedness among community-dwelling older adults: The potential of information and communication technologies and ride-hailing services
CA Talmage, RC Knopf, T Wu, D Winkel, P Mirchandani, KS Candan
Activities, Adaptation & Aging 45 (2), 89-117, 2021
Mandates: US National Science Foundation
Generalized ordinal learning framework (golf) for decision making with future simulated data
G Pedrielli, K Selcuk Candan, X Chen, L Mathesen, A Inanalouganji, J Xu, ...
Asia-Pacific Journal of Operational Research 36 (06), 1940011, 2019
Mandates: US National Science Foundation, National Natural Science Foundation of China …
Representation learning for imbalanced cross-domain classification
L Cheng, R Guo, KS Candan, H Liu
Proceedings of the 2020 SIAM international conference on data mining, 478-486, 2020
Mandates: US National Science Foundation
2PCP: Two-phase CP decomposition for billion-scale dense tensors
X Li, S Huang, KS Candan, ML Sapino
2016 IEEE 32nd International Conference on Data Engineering (ICDE), 835-846, 2016
Mandates: US National Science Foundation
M2TD: multi-task tensor decomposition for sparse ensemble simulations
X Li, KS Candan, ML Sapino
2018 IEEE 34th International Conference on Data Engineering (ICDE), 1144-1155, 2018
Mandates: US National Science Foundation, European Commission
Matrix factorization with interval-valued data
ML Li, F Di Mauro, KS Candan, ML Sapino
IEEE Transactions on Knowledge and Data Engineering 33 (4), 1644-1658, 2019
Mandates: US National Science Foundation, European Commission
Causal disentanglement with network information for debiased recommendations
P Sheth, R Guo, K Ding, L Cheng, KS Candan, H Liu
International Conference on Similarity Search and Applications, 265-273, 2022
Mandates: US National Science Foundation
Real vs. simulated: Questions on the capability of simulated datasets on building fault detection for energy efficiency from a data-driven perspective
J Huang, J Wen, H Yoon, O Pradhan, T Wu, Z O'Neill, KS Candan
Energy and Buildings 259, 111872, 2022
Mandates: US National Science Foundation
A practical data repository for causal learning with big data
L Cheng, R Guo, R Moraffah, KS Candan, A Raglin, H Liu
Benchmarking, Measuring, and Optimizing: Second BenchCouncil International …, 2020
Mandates: US National Science Foundation, US Department of Defense
BICP: block-incremental CP decomposition with update sensitive refinement
S Huang, KS Candan, ML Sapino
Proceedings of the 25th ACM International on Conference on Information and …, 2016
Mandates: US National Science Foundation
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