Articles with public access mandates - K. Selcuk CandanLearn more
Available somewhere: 59
Contextually-enriched querying of integrated data sources
G Cavallo, F Di Mauro, P Pasteris, ML Sapino, KS Candan
2018 IEEE 34th International Conference on Data Engineering Workshops (ICDEW …, 2018
Mandates: European Commission
nTD: Noise-profile adaptive tensor decomposition
X Li, KS Candan, ML Sapino
Proceedings of the 26th International Conference on World Wide Web, 243-252, 2017
Mandates: US National Science Foundation, European Commission
Selego: robust variate selection for accurate time series forecasting
M Tiwaskar, Y Garg, X Li, KS Candan, ML Sapino
Data Mining and Knowledge Discovery 35, 2141-2167, 2021
Mandates: US National Science Foundation, US Department of Energy
Crowdsourced semantic enrichment for participatory e-government
F Di Mauro, P Pasteris, ML Sapino, KS Candan, GA Dino, P Rossetti
Proceedings of the 8th International Conference on Management of Digital …, 2016
Mandates: European Commission
Locality-sensitive and re-use promoting personalized pagerank computations
JH Kim, KS Candan, ML Sapino
Knowledge and Information Systems 47, 261-299, 2016
Mandates: US National Science Foundation
PageRank revisited: On the relationship between node degrees and node significances in different applications
HK Jung, K Selcuk Candan, ML Sapino
Proceedings of the Workshops of the EDBT/ICDT 2016 Joint Conference 1558, 1-8, 2016
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 …
Adversarially-resistant on-demand topic channels for wireless sensor networks
HW Behrens, KS Candan
2018 IEEE 37th Symposium on Reliable Distributed Systems (SRDS), 83-92, 2018
Mandates: US National Science Foundation
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
CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods
P Sheth, U Jeong, R Guo, H Liu, KS Candan
Proceedings of the 30th ACM International Conference on Information …, 2021
Mandates: US National Science Foundation, US Department of Defense
CA-Smooth: Content Adaptive Smoothing of Time Series Leveraging Locally Salient Temporal Features
R Rossini, S Poccia, KS Candan, ML Sapino
Proceedings of the 11th International Conference on Management of Digital …, 2019
Mandates: US National Science Foundation, European Commission
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
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
DataStorm: Coupled, Continuous Simulations for Complex Urban Environments
HW Behrens, KS Candan, X Chen, Y Garg, ML Li, X Li, S Liu, ML Sapino, ...
ACM/IMS Transactions on Data Science 2 (3), 1-37, 2021
Mandates: US National Science Foundation, European Commission
Noise adaptive tensor train decomposition for low-rank embedding of noisy data
X Li, KS Candan, ML Sapino
International Conference on Similarity Search and Applications, 203-217, 2020
Mandates: US National Science Foundation, US Department of Energy, European Commission
Crowd Sourced Semantic Enrichment (CroSSE) for knowledge driven querying of digital resources
G Cavallo, F Di Mauro, P Pasteris, ML Sapino, KS Candan
Journal of Intelligent Information Systems 53, 453-480, 2019
Mandates: US National Science Foundation, European Commission
SMM: Leveraging metadata for contextually salient multi-variate motif discovery
SR Poccia, KS Candan, ML Sapino
Applied Sciences 11 (22), 10873, 2021
Mandates: US National Science Foundation, European Commission
Effective Tensor-Based Data Clustering Through Sub-Tensor Impact Graphs
KS Candan, S Huang, X Li, ML Sapino
Clustering Methods for Big Data Analytics: Techniques, Toolboxes and …, 2019
Mandates: US National Science Foundation, European Commission
Reducing seed noise in personalized PageRank
S Huang, X Li, KS Candan, ML Sapino
Social Network Analysis and Mining 6, 1-25, 2016
Mandates: US National Science Foundation
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
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