Articles with public access mandates - K. Selcuk CandanLearn more
Not available anywhere: 5
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
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
Available somewhere: 59
Causal disentanglement for implicit recommendations with network information
P Sheth, R Guo, L Cheng, H Liu, KS Candan
ACM Transactions on Knowledge Discovery from Data 17 (7), 1-18, 2023
Mandates: US National Science Foundation, US Department of Defense, Japan Science and …
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
Eigen-Entropy: A metric for multivariate sampling decisions
J Huang, H Yoon, T Wu, KS Candan, O Pradhan, J Wen, Z O'Neill
Information sciences 619, 84-97, 2023
Mandates: US National Science Foundation
Causal Discovery for Feature Selection in Physical Process-Based Hydrological Systems
P Sheth, T Liu, D Doner, Q Deng, Y Wei, R Muenich, J Sabo, KS Candan, ...
2022 IEEE International Conference on Big Data (Big Data), 5568-5577, 2022
Mandates: US National Science Foundation, US Department of Defense
Sirtem: Spatially informed rapid testing for epidemic modeling and response to covid-19
FT Azad, RW Dodge, AM Varghese, J Lee, G Pedrielli, KS Candan, ...
ACM Transactions on Spatial Algorithms and Systems 8 (4), 1-43, 2022
Mandates: US National Science Foundation
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
A cosine-based correlation information entropy approach for building automatic fault detection baseline construction
J Huang, H Yoon, O Pradhan, T Wu, J Wen, Z O’neill, KS Candan
Science and Technology for the Built Environment 28 (9), 1138-1149, 2022
Mandates: US Department of Energy
GTT: Leveraging data characteristics for guiding the tensor train decomposition
ML Li, KS Candan, ML Sapino
Information Systems 108, 102047, 2022
Mandates: US National Science Foundation, European Commission
ACM WSDM 2022 report
KS Candan, H Liu, L Akoglu, XL Dong, J Tang, A Tomkins
ACM SIGWEB Newsletter, 1-6, 2022
Mandates: US National Science Foundation, US Department of Defense
Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication
L Cheng, R Guo, K Candan, H Liu
Proceedings of the International AAAI Conference on Web and Social Media 16 …, 2022
Mandates: US National Science Foundation, US Department of Defense
Report on the 12th conference and labs of the evaluation forum (CLEF 2021) experimental IR meets multilinguality, multimodality, and interaction
KS Candan, G Faggioli, N Ferro, L Goeuriot, B Ionescu, A Joly, B Larsen, ...
ACM SIGIR Forum 55 (2), 1-12, 2022
Mandates: European Commission
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
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
Lagged-kNN Based Data Imputation Approach for Multi-Stream Building Systems Data
O Pradhan, D Hälleberg, Z Chen, J Wen, T Wu, KS Candan, Z and O'Neill
International High Performance Buildings Conference, 2022
Mandates: US National Science Foundation
Tensor-Train Decomposition in the Presence of Interval-Valued Data
F Di Mauro, KS Candan, ML Sapino
IEEE Transactions on Knowledge and Data Engineering 35 (4), 4267-4280, 2021
Mandates: US National Science Foundation, US Department of Energy, US Department of …
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