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K. Selçuk Candan
K. Selcuk Candan – Kasim Selçuk Candan
Person information
- affiliation: Arizona State University, Tempe, Arizona, USA
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2020 – today
- 2024
- [j87]Manjusha Ravindranath
, K. Selçuk Candan, Maria Luisa Sapino, Brian Appavu:
MMA: metadata supported multi-variate attention for onset detection and prediction. Data Min. Knowl. Discov. 38(4): 1545-1588 (2024) - [j86]Fahim Tasneema Azad
, K. Selçuk Candan
, Ahmet Kapkiç
, Mao-Lin Li
, Huan Liu
, Pratanu Mandal
, Paras Sheth
, Bilgehan Arslan
, Gerardo Chowell-Puente
, John Sabo
, Rebecca Muenich
, Javier Redondo Anton
, Maria Luisa Sapino
:
(Vision Paper) A Vision for Spatio-Causal Situation Awareness, Forecasting, and Planning. ACM Trans. Spatial Algorithms Syst. 10(2): 14 (2024) - [c178]Jiajing Huang, Abhidnya Patharkar, Teresa Wu, Jin Wen, Zheng O'Neill, K. Selcuk Candan:
A feature extraction framework with entropy on graphs for cross-dataset building fault detection. CASE 2024: 2067-2072 - [c177]Ahmet Kapkiç
, Pratanu Mandal
, Shu Wan
, Paras Sheth
, Abhinav Gorantla
, Yoonhyuk Choi
, Huan Liu
, K. Selçuk Candan
:
Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning. CIKM 2024: 5220-5224 - [c176]Lixi Zhou, K. Selçuk Candan, Jia Zou:
DeepMapping: Learned Data Mapping for Lossless Compression and Efficient Lookup. ICDE 2024: 1-14 - [i13]Yoonhyuk Choi, Reepal Shah, John Sabo, K. Selcuk Candan, Huan Liu:
Prioritizing Potential Wetland Areas via Region-to-Region Knowledge Transfer and Adaptive Propagation. CoRR abs/2406.05578 (2024) - [i12]Fahim Tasneema Azad, Javier Redondo Anton, Shubhodeep Mitra, Fateh Singh, Hans Behrens, Mao-Lin Li, Bilgehan Arslan, K. Selçuk Candan, Maria Luisa Sapino:
DataStorm-EM: Exploration of Alternative Timelines within Continuous-Coupled Simulation Ensembles. CoRR abs/2407.14571 (2024) - [i11]Ahmet Kapkiç, Pratanu Mandal, Shu Wan
, Paras Sheth, Abhinav Gorantla, Yoonhyuk Choi, Huan Liu, K. Selçuk Candan:
Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning. CoRR abs/2409.08419 (2024) - [i10]Shu Wan, Reepal Shah, Qi Deng, John Sabo, Huan Liu, K. Selçuk Candan:
Spatio-temporal Causal Learning for Streamflow Forecasting. CoRR abs/2411.17937 (2024) - 2023
- [j85]Guowen Li
, Lingyu Ren, Yangyang Fu, Zhiyao Yang, Veronica Adetola, Jin Wen, Qi Zhu, Teresa Wu, K. Selcuk Candan, Zheng O'Neill
:
A critical review of cyber-physical security for building automation systems. Annu. Rev. Control. 55: 237-254 (2023) - [j84]Jiajing Huang
, Hyunsoo Yoon, Teresa Wu, Kasim Selçuk Candan, Ojas Pradhan, Jin Wen
, Zheng O'Neill
:
Eigen-Entropy: A metric for multivariate sampling decisions. Inf. Sci. 619: 84-97 (2023) - [j83]Divyakant Agrawal
, Sihem Amer-Yahia
, K. Selcuk Candan
:
PACMMOD V1 N1 Editorial - Welcome to PACMMOD. Proc. ACM Manag. Data 1(1): 1:1-1:8 (2023) - [j82]Divyakant Agrawal
, Sihem Amer-Yahia
, K. Selçuk Candan
, Avrilia Floratou
, Hakan Hacigümüs
:
PACMMOD V1 N2 Editorial. Proc. ACM Manag. Data 1(2): 112:1-112:2 (2023) - [j81]Paras Sheth
, Ruocheng Guo
, Lu Cheng
, Huan Liu
, Kasim Selçuk Candan
:
Causal Disentanglement for Implicit Recommendations with Network Information. ACM Trans. Knowl. Discov. Data 17(7): 94:1-94:18 (2023) - [j80]Francesco Di Mauro
, K. Selçuk Candan
, Maria Luisa Sapino:
Tensor-Train Decomposition in the Presence of Interval-Valued Data. IEEE Trans. Knowl. Data Eng. 35(4): 4267-4280 (2023) - [c175]Mao-Lin Li, K. Selçuk Candan, Maria Luisa Sapino:
CTT: Causally Informed Tensor Train Decomposition. IEEE Big Data 2023: 1180-1187 - [c174]Paras Sheth
, Ahmadreza Mosallanezhad
, Kaize Ding
, Reepal Shah
, John Sabo
, Huan Liu
, K. Selçuk Candan
:
STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate Prediction. CIKM 2023: 4815-4821 - [c173]Guowen Li
, Zheng O'Neill
, Jin Wen
, Ojas Pradhan
, Lingyu Ren
, Teresa Wu
, Veronica Adetola
, K. Selcuk Candan
, Qi Zhu
:
CYDRES: CYber Defense and REsilient System for securing grid-interactive efficient buildings. BuildSys 2023: 307-309 - [e15]Sudipto Das, Ippokratis Pandis, K. Selçuk Candan, Sihem Amer-Yahia:
Companion of the 2023 International Conference on Management of Data, SIGMOD/PODS 2023, Seattle, WA, USA, June 18-23, 2023. ACM 2023, ISBN 978-1-4503-9507-6 [contents] - [i9]Lixi Zhou, K. Selçuk Candan, Jia Zou:
DeepMapping: The Case for Learned Data Mapping for Compression and Efficient Query Processing. CoRR abs/2307.05861 (2023) - [i8]Suraj Jyothi Unni, Paras Sheth, Kaize Ding, Huan Liu, K. Selçuk Candan:
UPREVE: An End-to-End Causal Discovery Benchmarking System. CoRR abs/2307.13757 (2023) - 2022
- [j79]Mao-Lin Li
, K. Selçuk Candan, Maria Luisa Sapino
:
GTT: Leveraging data characteristics for guiding the tensor train decomposition. Inf. Syst. 108: 102047 (2022) - [j78]K. Selçuk Candan, Huan Liu, Leman Akoglu, Xin Luna Dong, Jiliang Tang, Andrew Tomkins:
ACM WSDM 2022 report. SIGWEB Newsl. 2022(Summer): 1:1-1:6 (2022) - [j77]Lu Cheng
, Ruocheng Guo, Raha Moraffah, Paras Sheth, K. Selçuk Candan
, Huan Liu
:
Evaluation Methods and Measures for Causal Learning Algorithms. IEEE Trans. Artif. Intell. 3(6): 924-943 (2022) - [j76]Fahim Tasneema Azad
, Robert W. Dodge
, Allen M. Varghese
, Jaejin Lee
, Giulia Pedrielli
, K. Selçuk Candan
, Gerardo Chowell-Puente
:
SIRTEM: Spatially Informed Rapid Testing for Epidemic Modeling and Response to COVID-19. ACM Trans. Spatial Algorithms Syst. 8(4): 29:1-29:43 (2022) - [c172]Paras Sheth, Ting Liu
, Durmus Doner, Qi Deng, Yuhang Wei, Rebecca Muenich
, John Sabo, K. Selçuk Candan, Huan Liu:
Causal Discovery for Feature Selection in Physical Process-Based Hydrological Systems. IEEE Big Data 2022: 5568-5577 - [c171]Paras Sheth, Reepal Shah, John Sabo, K. Selçuk Candan, Huan Liu:
STCD: A Spatio-Temporal Causal Discovery Framework for Hydrological Systems. IEEE Big Data 2022: 5578-5583 - [c170]Lu Cheng, Ruocheng Guo, Kasim Selçuk Candan, Huan Liu:
Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication. ICWSM 2022: 67-78 - [c169]Paras Sheth
, Ruocheng Guo
, Kaize Ding
, Lu Cheng
, K. Selçuk Candan
, Huan Liu
:
Causal Disentanglement with Network Information for Debiased Recommendations. SISAP 2022: 265-273 - [e14]K. Selçuk Candan, Thang N. Dinh, My T. Thai, Takashi Washio:
IEEE International Conference on Data Mining Workshops, ICDM 2022 - Workshops, Orlando, FL, USA, November 28 - Dec. 1, 2022. IEEE 2022, ISBN 979-8-3503-4609-1 [contents] - [e13]K. Selcuk Candan, Huan Liu, Leman Akoglu, Xin Luna Dong, Jiliang Tang:
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022. ACM 2022, ISBN 978-1-4503-9132-0 [contents] - [i7]Lu Cheng, Ruocheng Guo, Raha Moraffah, Paras Sheth, K. Selçuk Candan, Huan Liu:
Evaluation Methods and Measures for Causal Learning Algorithms. CoRR abs/2202.02896 (2022) - [i6]Paras Sheth, Ruocheng Guo, Lu Cheng, Huan Liu, K. Selçuk Candan:
Causal Disentanglement with Network Information for Debiased Recommendations. CoRR abs/2204.07221 (2022) - [i5]Paras Sheth, Raha Moraffah, K. Selçuk Candan, Adrienne Raglin, Huan Liu:
Domain Generalization - A Causal Perspective. CoRR abs/2209.15177 (2022) - [i4]Guowen Li, Lingyu Ren, Yangyang Fu, Zhiyao Yang, Veronica Adetola, Jin Wen, Qi Zhu, Teresa Wu, K. Selçuk Candan, Zheng O'Neill
:
A critical review of cyber-physical security for building automation systems. CoRR abs/2210.11726 (2022) - [i3]Yifan Hao, Huiping Cao, K. Selcuk Candan, Jiefei Liu, Huiying Chen, Ziwei Ma
:
Class-Specific Attention (CSA) for Time-Series Classification. CoRR abs/2211.10609 (2022) - 2021
- [j75]Manoj Tiwaskar
, Yash Garg, Xinsheng Li, K. Selçuk Candan, Maria Luisa Sapino:
Selego: robust variate selection for accurate time series forecasting. Data Min. Knowl. Discov. 35(5): 2141-2167 (2021) - [j74]K. Selçuk Candan, Guglielmo Faggioli, Nicola Ferro, Lorraine Goeuriot, Bogdan Ionescu, Alexis Joly, Birger Larsen, Maria Maistro, Henning Müller, Florina Piroi:
Report on the 12th conference and labs of the evaluation forum (CLEF 2021): experimental IR meets multilinguality, multimodality, and interaction. SIGIR Forum 55(2): 15:1-15:12 (2021) - [j73]Hans Walter Behrens
, K. Selçuk Candan
, Xilun Chen, Yash Garg, Mao-Lin Li, Xinsheng Li, Sicong Liu, Maria Luisa Sapino, Md Shadab, Dalton Turner, Magesh Vijayakumaren:
DataStorm: Coupled, Continuous Simulations for Complex Urban Environments. Trans. Data Sci. 2(3): 19:1-19:37 (2021) - [j72]Mao-Lin Li
, Francesco Di Mauro
, K. Selçuk Candan
, Maria Luisa Sapino
:
Matrix Factorization with Interval-Valued Data. IEEE Trans. Knowl. Data Eng. 33(4): 1644-1658 (2021) - [c168]Paras Sheth, Ujun Jeong, Ruocheng Guo, Huan Liu, K. Selçuk Candan:
CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods. CIKM 2021: 4789-4793 - [c167]Yash Garg, K. Selçuk Candan:
XM2A: Multi-Scale Multi-Head Attention with Cross-Talk for Multi-Variate Time Series Analysis. MIPR 2021: 151-157 - [c166]Mao-Lin Li, K. Selçuk Candan:
W2FM: The Doubly-Warped Factorization Machine. PAKDD (2) 2021: 485-497 - [c165]Ojas Pradhan, Jin Wen, Yimin Chen, Xing Lu
, Mengyuan Chu, Yangyang Fu, Zheng O'Neill
, Teresa Wu, K. Selcuk Candan:
Dynamic bayesian network-based fault diagnosis for ASHRAE guideline 36: high performance sequence of operation for HVAC systems. BuildSys 2021: 365-368 - [e12]K. Selçuk Candan
, Bogdan Ionescu, Lorraine Goeuriot
, Birger Larsen
, Henning Müller
, Alexis Joly
, Maria Maistro
, Florina Piroi
, Guglielmo Faggioli
, Nicola Ferro
:
Experimental IR Meets Multilinguality, Multimodality, and Interaction - 12th International Conference of the CLEF Association, CLEF 2021, Virtual Event, September 21-24, 2021, Proceedings. Lecture Notes in Computer Science 12880, Springer 2021, ISBN 978-3-030-85250-4 [contents] - [i2]Lu Cheng, Ruocheng Guo, Kasim Selçuk Candan, Huan Liu:
Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication. CoRR abs/2110.01746 (2021) - 2020
- [j71]K. Selçuk Candan, Marco Bertini, Xiao-Yong Wei, Lexing Xie
:
Editorial for the ICMR 2019 special issue. Int. J. Multim. Inf. Retr. 9(1): 1-2 (2020) - [c164]Lu Cheng, Jundong Li, K. Selçuk Candan, Huan Liu:
Tracking Disaster Footprints with Social Streaming Data. AAAI 2020: 370-377 - [c163]Hans Walter Behrens, K. Selçuk Candan:
Pando: Efficient Byzantine-Tolerant Distributed Sensor Fusion using Forest Ensembles. ICC 2020: 1-6 - [c162]Yash Garg, K. Selçuk Candan, Maria Luisa Sapino:
SAN : Scale-Space Attention Networks. ICDE 2020: 853-864 - [c161]Mao-Lin Li, Francesco Di Mauro, K. Selçuk Candan, Maria Luisa Sapino:
Matrix Factorization with Interval-Valued Data. ICDE 2020: 2042-2043 - [c160]Yash Garg, K. Selçuk Candan:
SDMA: Saliency-Driven Mutual Cross Attention for Multi-Variate Time Series. ICPR 2020: 7242-7249 - [c159]Ruocheng Guo, Jundong Li, Yichuan Li, K. Selçuk Candan, Adrienne Raglin, Huan Liu:
IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data. IJCAI 2020: 4534-4540 - [c158]Yash Garg, K. Selçuk Candan:
iSparse: Output Informed Sparsification of Neural Network. ICMR 2020: 180-188 - [c157]Hans Walter Behrens, K. Selçuk Candan:
Practical Security for Cooperative Ad Hoc Systems. PerCom Workshops 2020: 1-2 - [c156]Lu Cheng, Ruocheng Guo, K. Selçuk Candan, Huan Liu:
Representation Learning for Imbalanced Cross-Domain Classification. SDM 2020: 478-486 - [c155]Mao-Lin Li, K. Selçuk Candan, Maria Luisa Sapino:
GTT: Guiding the Tensor Train Decomposition. SISAP 2020: 187-202 - [c154]Xinsheng Li, K. Selçuk Candan, Maria Luisa Sapino:
Noise Adaptive Tensor Train Decomposition for Low-Rank Embedding of Noisy Data. SISAP 2020: 203-217 - [c153]Manjusha Ravindranath, K. Selçuk Candan, Maria Luisa Sapino:
M2NN: Rare Event Inference through Multi-variate Multi-scale Attention. SMDS 2020: 53-62
2010 – 2019
- 2019
- [j70]Giulia Pedrielli
, K. Selçuk Candan, Xilun Chen, Logan Mathesen, Alireza Inanlouganji, Jie Xu, Chun-Hung Chen, Loo Hay Lee:
Generalized Ordinal Learning Framework (GOLF) for Decision Making with Future Simulated Data. Asia Pac. J. Oper. Res. 36(6): 1940011:1-1940011:35 (2019) - [j69]Giacomo Cavallo, Francesco Di Mauro, Paolo Pasteris, Maria Luisa Sapino
, K. Selçuk Candan:
Crowd Sourced Semantic Enrichment (CroSSE) for knowledge driven querying of digital resources. J. Intell. Inf. Syst. 53(3): 453-480 (2019) - [c152]Lu Cheng, Ruocheng Guo, Raha Moraffah, K. Selçuk Candan, Adrienne Raglin, Huan Liu:
A Practical Data Repository for Causal Learning with Big Data. Bench 2019: 234-248 - [c151]Nakul Chawla, Hans Walter Behrens
, Darren Tapp
, Dragan Boscovic, K. Selçuk Candan:
Velocity: Scalability Improvements in Block Propagation Through Rateless Erasure Coding. IEEE ICBC 2019: 447-454 - [c150]Xilun Chen, Logan Mathesen, Giulia Pedrielli
, K. Selçuk Candan:
Complicacy-Guided Parameter Space Sampling for Knowledge Discovery with Limited Simulation Budgets. ICBK 2019: 50-57 - [c149]Rosaria Rossini
, Silvestro Roberto Poccia, K. Selçuk Candan, Maria Luisa Sapino:
CA-Smooth: Content Adaptive Smoothing of Time Series Leveraging Locally Salient Temporal Features. MEDES 2019: 36-43 - [c148]Yash Garg, K. Selçuk Candan:
RACKNet: Robust Allocation of Convolutional Kernels in Neural Networks for Image Classification. ICMR 2019: 315-323 - [c147]Logan Mathesen, Kaushik Keezhnagar Chandrasekar, Xinsheng Li, Giulia Pedrielli
, K. Selçuk Candan:
Subspace Communication Driven Search for High Dimensional Optimization. WSC 2019: 3528-3539 - [e11]Abdulmotaleb El-Saddik, Alberto Del Bimbo, Zhongfei Zhang, Alexander G. Hauptmann, K. Selçuk Candan, Marco Bertini, Lexing Xie, Xiao-Yong Wei:
Proceedings of the 2019 on International Conference on Multimedia Retrieval, ICMR 2019, Ottawa, ON, Canada, June 10-13, 2019. ACM 2019, ISBN 978-1-4503-6765-3 [contents] - 2018
- [j68]Hans Behrens
, K. Selçuk Candan, Xilun Chen, Ashish Gadkari, Yash Garg, Mao-Lin Li:
DataStorm-FE: A Data- and Decision-Flow and Coordination Engine for Coupled Simulation Ensembles. Proc. VLDB Endow. 11(12): 1906-1909 (2018) - [j67]Sicong Liu, Silvestro Roberto Poccia, K. Selçuk Candan, Maria Luisa Sapino, Xiaolan Wang:
Robust Multi-Variate Temporal Features of Multi-Variate Time Series. ACM Trans. Multim. Comput. Commun. Appl. 14(1): 7:1-7:24 (2018) - [c146]Xilun Chen, K. Selçuk Candan, Maria Luisa Sapino:
IMS-DTM: Incremental Multi-Scale Dynamic Topic Models. AAAI 2018: 5078-5085 - [c145]Parth Nagarkar
, K. Selçuk Candan:
PSLSH: An Index Structure for Efficient Execution of Set Queries in High-Dimensional Spaces. CIKM 2018: 477-486 - [c144]Hans Walter Behrens
, K. Selçuk Candan:
Lightweight Authentication for Fault-Tolerant Topic-Channels in Ad Hoc Distributed Systems. HPDC (Posters/Doctoral Consortium) 2018: 13-14 - [c143]Giacomo Cavallo, Francesco Di Mauro, Paolo Pasteris, Maria Luisa Sapino, Kasim Selçuk Candan:
Contextually-Enriched Querying of Integrated Data Sources. ICDE Workshops 2018: 9-16 - [c142]Xinsheng Li, Kasim Selçuk Candan, Maria Luisa Sapino:
M2TD: Multi-Task Tensor Decomposition for Sparse Ensemble Simulations. ICDE 2018: 1144-1155 - [c141]Hans Walter Behrens
, Kasim Selçuk Candan:
Adversarially-Resistant On-Demand Topic Channels for Wireless Sensor Networks. SRDS 2018: 83-92 - [e10]Alfredo Cuzzocrea, James Allan, Norman W. Paton, Divesh Srivastava, Rakesh Agrawal, Andrei Z. Broder, Mohammed J. Zaki, K. Selçuk Candan, Alexandros Labrinidis, Assaf Schuster, Haixun Wang:
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018. ACM 2018, ISBN 978-1-4503-6014-2 [contents] - [r5]K. Selçuk Candan, Maria Luisa Sapino:
Multimedia Data Querying. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [j66]Yu-Ru Lin, Hanghang Tong, Jie Tang, K. Selçuk Candan:
Guest Editorial: Big Scholar Data Discovery and Collaboration. IEEE Trans. Big Data 3(1): 2 (2017) - [c140]Paolo Casagranda, Maria Luisa Sapino, K. Selçuk Candan:
Context-Aware Proactive Personalization of Linear Audio Content. EDBT 2017: 574-577 - [c139]Silvestro Roberto Poccia, Maria Luisa Sapino, Sicong Liu, Xilun Chen, Yash Garg, Shengyu Huang, Jung Hyun Kim, Xinsheng Li, Parth Nagarkar
, K. Selçuk Candan:
SIMDMS: Data Management and Analysis to Support Decision Making through Large Simulation Ensembles. EDBT 2017: 582-585 - [c138]Jung Hyun Kim, Mao-Lin Li, K. Selçuk Candan, Maria Luisa Sapino:
Personalized PageRank in Uncertain Graphs with Mutually Exclusive Edges. SIGIR 2017: 525-534 - [c137]Xinsheng Li, K. Selçuk Candan, Maria Luisa Sapino:
nTD: Noise-Profile Adaptive Tensor Decomposition. WWW 2017: 243-252 - [e9]K. Selçuk Candan, Lei Chen, Torben Bach Pedersen, Lijun Chang, Wen Hua:
Database Systems for Advanced Applications - 22nd International Conference, DASFAA 2017, Suzhou, China, March 27-30, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10177, Springer 2017, ISBN 978-3-319-55752-6 [contents] - [e8]K. Selçuk Candan, Lei Chen, Torben Bach Pedersen, Lijun Chang, Wen Hua:
Database Systems for Advanced Applications - 22nd International Conference, DASFAA 2017, Suzhou, China, March 27-30, 2017, Proceedings, Part II. Lecture Notes in Computer Science 10178, Springer 2017, ISBN 978-3-319-55698-7 [contents] - 2016
- [j65]Mijung Kim, K. Selçuk Candan:
Decomposition-by-normalization (DBN): leveraging approximate functional dependencies for efficient CP and tucker decompositions. Data Min. Knowl. Discov. 30(1): 1-46 (2016) - [j64]Jung Hyun Kim, K. Selçuk Candan, Maria Luisa Sapino:
Locality-sensitive and Re-use Promoting Personalized PageRank computations. Knowl. Inf. Syst. 47(2): 261-299 (2016) - [j63]Shengyu Huang, Xinsheng Li, K. Selçuk Candan, Maria Luisa Sapino:
Reducing seed noise in personalized PageRank. Soc. Netw. Anal. Min. 6(1): 6:1-6:25 (2016) - [j62]Yu-Ru Lin, Hanghang Tong, Jie Tang, K. Selçuk Candan:
Guest Editorial: Big Scholar Data Discovery and Collaboration. IEEE Trans. Big Data 2(1): 1-2 (2016) - [j61]Yu-Ru Lin, Hanghang Tong, Jie Tang, K. Selçuk Candan:
Guest Editorial: Special Issue on Big Scholar Data Discovery and Collaboration (Continued). IEEE Trans. Big Data 2(2): 100 (2016) - [j60]Jian Pei, Leman Akoglu, Hongrae Lee, Justin J. Levandoski, Xuelong Li, Rosa Meo, Carlos Ordonez, Jeff M. Phillips, Barbara Poblete, K. Selçuk Candan, Meng Wang, Ji-Rong Wen, Li Xiong, Wenjie Zhang:
EIC Editorial. IEEE Trans. Knowl. Data Eng. 28(10): 2535-2537 (2016) - [c136]Shengyu Huang, K. Selçuk Candan, Maria Luisa Sapino:
BICP: Block-Incremental CP Decomposition with Update Sensitive Refinement. CIKM 2016: 1221-1230 - [c135]Jung Hyun Kim, K. Selçuk Candan, Maria Luisa Sapino:
PageRank Revisited: On the Relationship between Node Degrees and Node Significances in Different Applications. EDBT/ICDT Workshops 2016 - [c134]Xinsheng Li, Shengyu Huang, K. Selçuk Candan, Maria Luisa Sapino:
2PCP: Two-phase CP decomposition for billion-scale dense tensors. ICDE 2016: 835-846 - [c133]Francesco Di Mauro, Paolo Pasteris, Maria Luisa Sapino, K. Selçuk Candan, Giovanna Antonella Dino, Piergiorgio Rossetti:
CrowdSourced semantic enrichment for participatory e-Government. MEDES 2016: 82-89 - 2015
- [j59]K. Selçuk Candan, Christian S. Jensen, Manish Parashar, Kyung Dong Ryu, Heonyoung Yeom:
Cloud Engineering [Guest editors' introduction]. IEEE Cloud Comput. 2(5): 6-8 (2015) - [j58]Parth Nagarkar
, K. Selçuk Candan, Aneesha Bhat:
Compressed Spatial Hierarchical Bitmap (cSHB) Indexes for Efficiently Processing Spatial Range Query Workloads. Proc. VLDB Endow. 8(12): 1382-1393 (2015) - [j57]Mithila Nagendra, K. Selçuk Candan:
Efficient Processing of Skyline-Join Queries over Multiple Data Sources. ACM Trans. Database Syst. 40(2): 10:1-10:46 (2015) - [c132]Sicong Liu, Yash Garg, K. Selçuk Candan, Maria Luisa Sapino, Gerardo Chowell-Puente:
NOTES2: Networks-of-Traces for Epidemic Spread Simulations. AAAI Workshop: Computational Sustainability 2015 - [c131]Xilun Chen, K. Selçuk Candan, Maria Luisa Sapino, Paulo Shakarian:
KSGM: Keynode-driven Scalable Graph Matching. CIKM 2015: 1101-1110 - [c130]Paolo Casagranda, Maria Luisa Sapino, K. Selçuk Candan:
Audio assisted group detection using smartphones. ICME Workshops 2015: 1-6 - [c129]Dawei Zhou, Jingrui He, K. Selçuk Candan, Hasan Davulcu:
MUVIR: Multi-View Rare Category Detection. IJCAI 2015: 4098-4104 - 2014
- [j56]Alberto Del Bimbo
, K. Selçuk Candan, Yu-Gang Jiang, Jiebo Luo
, Tao Mei, Nicu Sebe
, Heng Tao Shen, Cees G. M. Snoek, Rong Yan:
Guest Editorial Special Section on Socio-Mobile Media Analysis and Retrieval. IEEE Trans. Multim. 16(3): 586-587 (2014) - [c128]Shengyu Huang, Xinsheng Li, K. Selçuk Candan, Maria Luisa Sapino:
"Can you really trust that seed?": Reducing the impact of seed noise in personalized PageRank. ASONAM 2014: 216-223 - [c127]Xinsheng Li, Shengyu Huang, Kasim Selçuk Candan, Maria Luisa Sapino:
Focusing Decomposition Accuracy by Personalizing Tensor Decomposition (PTD). CIKM 2014: 689-698 - [c126]Mijung Kim, K. Selçuk Candan:
Efficient Static and Dynamic In-Database Tensor Decompositions on Chunk-Based Array Stores. CIKM 2014: 969-978 - [c125]Xilun Chen, K. Selçuk Candan:
GI-NMF: Group Incremental Non-Negative Matrix Factorization on Data Streams. CIKM 2014: 1119-1128 - [c124]Mijung Kim, K. Selçuk Candan:
TensorDB: In-Database Tensor Manipulation with Tensor-Relational Query Plans. CIKM 2014: 2039-2041 - [c123]Parth Nagarkar
, K. Selçuk Candan:
HCS: Hierarchical Cut Selection for Efficiently Processing Queries on Data Columns using Hierarchical Bitmap Indices. EDBT 2014: 271-282 - [c122]Xiaolan Wang, K. Selçuk Candan, Maria Luisa Sapino:
Leveraging metadata for identifying local, robust multi-variate temporal (RMT) features. ICDE 2014: 388-399 - [c121]