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ORCIDNick Koudas
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- affiliation: University of Toronto, Canada
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2020 – today
- 2025
[c145]Ioannis Xarchakos, Nick Koudas:
Coping With Data Drift in Online Video Analytics. EDBT 2025: 39-52- [c144]Daren Chao, Nick Koudas, Xiaohui Yu, Yueting Chen:
Ensembling Object Detectors for Effective Video Query Processing. EDBT 2025: 66-79 - 2024
- [j53]Yifan Li
, Xiaohui Yu, Nick Koudas:
Data Acquisition for Improving Model Confidence. Proc. ACM Manag. Data 2(3): 131 (2024) - [j52]Kaiwen Chen, Nick Koudas:
Unstructured Data Fusion for Schema and Data Extraction. Proc. ACM Manag. Data 2(3): 181 (2024) - [j51]Ziqiang Yu, Xiaohui Yu, Nick Koudas, Yueting Chen, Yang Liu:
A Distributed Solution for Efficient K Shortest Paths Computation Over Dynamic Road Networks. IEEE Trans. Knowl. Data Eng. 36(7): 2759-2773 (2024) - [c143]Daren Chao, Nick Koudas:
Querying For Actions Over Videos. EDBT 2024: 162-174 - [c142]Naiqing Guan, Nick Koudas:
ActiveDP: Bridging Active Learning and Data Programming. EDBT 2024: 515-521 - [i20]Naiqing Guan, Nick Koudas:
ActiveDP: Bridging Active Learning and Data Programming. CoRR abs/2402.06056 (2024) - [i19]Sana Ebrahimi, Kaiwen Chen, Abolfazl Asudeh, Gautam Das, Nick Koudas:
AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs. CoRR abs/2403.00198 (2024) - [i18]Naiqing Guan, Nick Koudas:
WeShap: Weak Supervision Source Evaluation with Shapley Values. CoRR abs/2406.11010 (2024) - 2023
- [j50]Yifan Li, Xiaohui Yu, Nick Koudas, Shu Lin, Calvin Sun, Chong Chen:
dbET: Execution Time Distribution-based Plan Selection. Proc. ACM Manag. Data 1(1): 31:1-31:26 (2023) - [j49]Ioannis Xarchakos, Nick Koudas:
Querying for Interactions. IEEE Trans. Knowl. Data Eng. 35(2): 1977-1990 (2023) - [c141]Daren Chao, Yueting Chen, Nick Koudas, Xiaohui Yu:
Track Merging for Effective Video Query Processing. ICDE 2023: 164-176 - [c140]Daren Chao, Nick Koudas, Xiaohui Yu:
Marshalling Model Inference in Video Streams. ICDE 2023: 1379-1392 - [c139]Daren Chao, Kaiwen Chen, Nick Koudas:
SVQ-ACT: Querying for Actions over Videos. ICDE 2023: 3599-3602 - [i17]Naiqing Guan, Kaiwen Chen, Nick Koudas:
Can Large Language Models Design Accurate Label Functions? CoRR abs/2311.00739 (2023) - [i16]Ziqiang Yu, Xiaohui Yu, Nick Koudas, Yueting Chen, Yang Liu:
A Distributed Solution for Efficient K Shortest Paths Computation over Dynamic Road Networks. CoRR abs/2312.12687 (2023) - 2022
- [j48]Yueting Chen, Nick Koudas, Xiaohui Yu, Ziqiang Yu:
Spatial and Temporal Constrained Ranked Retrieval over Videos. Proc. VLDB Endow. 15(11): 3226-3239 (2022) - [j47]Tommaso Teofili, Donatella Firmani, Nick Koudas, Paolo Merialdo, Divesh Srivastava:
CERTEM: Explaining and Debugging Black-box Entity Resolution Systems with CERTA. Proc. VLDB Endow. 15(12): 3642-3645 (2022) - [j46]Nick Koudas, Raymond Li, Ioannis Xarchakos:
Video Monitoring Queries. IEEE Trans. Knowl. Data Eng. 34(10): 5023-5036 (2022) - [c138]Tommaso Teofili, Donatella Firmani, Nick Koudas, Vincenzo Martello, Paolo Merialdo, Divesh Srivastava:
Effective Explanations for Entity Resolution Models. ICDE 2022: 2709-2721 - [c137]Yueting Chen, Xiaohui Yu, Nick Koudas:
Ranked Window Query Retrieval over Video Repositories. ICDE 2022: 2776-2791 - [c136]Saravanan Thirumuruganathan, Suraj Shetiya, Nick Koudas, Gautam Das:
Prediction Intervals for Learned Cardinality Estimation: An Experimental Evaluation. ICDE 2022: 3051-3064 - [c135]Naiqing Guan, Nick Koudas:
FILA: Online Auditing of Machine Learning Model Accuracy under Finite Labelling Budget. SIGMOD Conference 2022: 1784-1794 - [i15]Tommaso Teofili, Donatella Firmani, Nick Koudas, Vincenzo Martello, Paolo Merialdo, Divesh Srivastava:
Effective Explanations for Entity Resolution Models. CoRR abs/2203.12978 (2022) - 2021
- [j45]Yifan Li, Xiaohui Yu, Nick Koudas:
Data Acquisition for Improving Machine Learning Models. Proc. VLDB Endow. 14(10): 1832-1844 (2021) - [j44]Yifan Li, Xiaohui Yu, Nick Koudas:
LES3: Learning-based exact set similarity search. Proc. VLDB Endow. 14(11): 2073-2086 (2021) - [c134]Zhaoyue Cheng, Nick Koudas, Zhe Zhang, Xiaohui Yu:
Efficient Construction of Nonlinear Models over Normalized Data. ICDE 2021: 1140-1151 - [c133]Yannis Xarchakos, Nick Koudas:
Querying for Interactions. ICDE 2021: 2153-2158 - [c132]Yueting Chen, Xiaohui Yu, Nick Koudas, Ziqiang Yu:
Evaluating Temporal Queries Over Video Feeds. SIGMOD Conference 2021: 287-299 - [c131]Sona Hasani, Saravanan Thirumuruganathan, Nick Koudas, Gautam Das:
Shahin: Faster Algorithms for Generating Explanations for Multiple Predictions. SIGMOD Conference 2021: 2235-2243 - [i14]Yifan Li, Xiaohui Yu, Nick Koudas:
Data Acquisition for Improving Machine Learning Models. CoRR abs/2105.14107 (2021) - [i13]Yifan Li, Xiaohui Yu, Nick Koudas:
LES3: Learning-based Exact Set Similarity Search. CoRR abs/2107.10417 (2021) - 2020
- [j43]Suraj Shetiya, Saravanan Thirumuruganathan, Nick Koudas, Gautam Das:
Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning. Proc. VLDB Endow. 14(4): 471-484 (2020) - [c130]Nick Koudas, Raymond Li, Ioannis Xarchakos:
Video Monitoring Queries. ICDE 2020: 1285-1296 - [c129]Saravanan Thirumuruganathan, Shohedul Hasan, Nick Koudas, Gautam Das:
Approximate Query Processing for Data Exploration using Deep Generative Models. ICDE 2020: 1309-1320 - [c128]Ziqiang Yu, Xiaohui Yu, Nick Koudas, Yang Liu, Yifan Li, Yueting Chen, Dingyu Yang:
Distributed Processing of k Shortest Path Queries over Dynamic Road Networks. SIGMOD Conference 2020: 665-679 - [c127]Shohedul Hasan, Saravanan Thirumuruganathan, Jees Augustine, Nick Koudas, Gautam Das:
Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries. SIGMOD Conference 2020: 1035-1050 - [c126]Yueting Chen, Xiaohui Yu, Nick Koudas:
TQVS: Temporal Queries over Video Streams in Action. SIGMOD Conference 2020: 2737-2740 - [c125]Daren Chao, Nick Koudas, Ioannis Xarchakos:
SVQ++: Querying for Object Interactions in Video Streams. SIGMOD Conference 2020: 2769-2772 - [i12]Nick Koudas, Raymond Li, Ioannis Xarchakos:
Video Monitoring Queries. CoRR abs/2002.10537 (2020) - [i11]Yueting Chen, Xiaohui Yu, Nick Koudas:
Evaluating Temporal Queries Over Video Feeds. CoRR abs/2003.00953 (2020) - [i10]Yifan Li, Xiaohui Yu, Nick Koudas:
Top-k queries over digital traces. CoRR abs/2003.09009 (2020) - [i9]Ziqiang Yu, Xiaohui Yu, Nick Koudas, Yang Liu, Yifan Li, Yueting Chen, Dingyu Yang:
Distributed Processing of k Shortest Path Queries over Dynamic Road Networks. CoRR abs/2004.02580 (2020) - [i8]Zhaoyue Chen, Nick Koudas, Zhe Zhang, Xiaohui Yu:
Efficient Construction of Nonlinear Models overNormalized Data. CoRR abs/2011.11682 (2020)
2010 – 2019
- 2019
- [j42]Sona Hasani, Faezeh Ghaderi, Shohedul Hasan, Saravanan Thirumuruganathan, Abolfazl Asudeh, Nick Koudas, Gautam Das:
ApproxML: Efficient Approximate Ad-Hoc ML Models Through Materialization and Reuse. Proc. VLDB Endow. 12(12): 1906-1909 (2019) - [c124]Zhaoyue Cheng, Nick Koudas:
Nonlinear Models Over Normalized Data. ICDE 2019: 1574-1577 - [c123]Sahel Sharify, Alan W. Lu, Jin Chen, Arnamoy Bhattacharyya, Ali B. Hashemi, Nick Koudas, Cristiana Amza:
An Improved Dynamic Vertical Partitioning Technique for Semi-Structured Data. ISPASS 2019: 243-256 - [c122]Abolfazl Asudeh, Azade Nazi, Nick Koudas, Gautam Das:
Maximizing Gain over Flexible Attributes in Peer to Peer Marketplaces. PAKDD (3) 2019: 327-345 - [c121]Vincenzo Di Cicco, Donatella Firmani, Nick Koudas, Paolo Merialdo, Divesh Srivastava:
Interpreting deep learning models for entity resolution: an experience report using LIME. aiDM@SIGMOD 2019: 8:1-8:4 - [c120]Yifan Li, Xiaohui Yu, Nick Koudas:
Top-k Queries over Digital Traces. SIGMOD Conference 2019: 954-971 - [c119]Ioannis Xarchakos, Nick Koudas:
SVQ: Streaming Video Queries. SIGMOD Conference 2019: 2013-2016 - [i7]Shohedul Hasan, Saravanan Thirumuruganathan, Jees Augustine, Nick Koudas, Gautam Das:
Multi-Attribute Selectivity Estimation Using Deep Learning. CoRR abs/1903.09999 (2019) - [i6]Saravanan Thirumuruganathan, Shohedul Hasan, Nick Koudas, Gautam Das:
Approximate Query Processing using Deep Generative Models. CoRR abs/1903.10000 (2019) - 2018
- [j41]Sona Hasani, Saravanan Thirumuruganathan, Abolfazl Asudeh, Nick Koudas, Gautam Das:
Efficient Construction of Approximate Ad-Hoc ML models Through Materialization and Reuse. Proc. VLDB Endow. 11(11): 1468-1481 (2018) - 2017
- [c118]Md Farhadur Rahman, Abolfazl Asudeh, Nick Koudas, Gautam Das:
Efficient Computation of Subspace Skyline over Categorical Domains. CIKM 2017: 407-416 - [i5]Md Farhadur Rahman, Abolfazl Asudeh, Nick Koudas, Gautam Das:
Efficient Computation of Subspace Skyline over Categorical Domains. CoRR abs/1703.00080 (2017) - [i4]Abolfazl Asudeh, Azade Nazi, Nick Koudas, Gautam Das:
Assisting Service Providers In Peer-to-peer Marketplaces: Maximizing Gain Over Flexible Attributes. CoRR abs/1705.03028 (2017) - 2015
- [c117]Suprio Ray, Angela Demke Brown, Nick Koudas, Rolando Blanco, Anil K. Goel:
Parallel in-memory trajectory-based spatiotemporal topological join. IEEE BigData 2015: 361-370 - [c116]Milad Eftekhar, Nick Koudas, Yashar Ganjali:
Reaching a desired set of users via different paths: an online advertising technique on micro-blogging platforms. EDBT 2015: 181-192 - [i3]Priyank Gupta, Nick Koudas, Europa Shang, Ryan Johnson, Calisto Zuzarte:
Processing Analytical Workloads Incrementally. CoRR abs/1509.05066 (2015) - 2014
- [j40]Tomasz Nykiel, Michalis Potamias, Chaitanya Mishra, George Kollios, Nick Koudas:
Sharing across Multiple MapReduce Jobs. ACM Trans. Database Syst. 39(2): 12:1-12:46 (2014) - [j39]Albert Angel, Nick Koudas, Nikos Sarkas, Divesh Srivastava, Michael Svendsen, Srikanta Tirthapura:
Dense subgraph maintenance under streaming edge weight updates for real-time story identification. VLDB J. 23(2): 175-199 (2014) - [c115]Milad Eftekhar, Saravanan Thirumuruganathan, Gautam Das, Nick Koudas:
Price trade-offs in social media advertising. COSN 2014: 169-176 - [c114]Alex Cheng, Mary Malit, Chuanxi Zhang, Nick Koudas:
SerpentTI: flexible analytics of users, boards and domains for pinterest. SIGMOD Conference 2014: 1075-1078 - 2013
- [j38]Milad Eftekhar, Nick Koudas:
Some Research Opportunities on Twitter Advertising. IEEE Data Eng. Bull. 36(3): 77-82 (2013) - [j37]Milad Eftekhar, Nick Koudas:
Partitioning and Ranking Tagged Data Sources. Proc. VLDB Endow. 6(4): 229-240 (2013) - [j36]Manos Papagelis, Gautam Das, Nick Koudas:
Sampling Online Social Networks. IEEE Trans. Knowl. Data Eng. 25(3): 662-676 (2013) - [c113]Liwei Lin, Xiaohui Yu, Nick Koudas:
Pollux: towards scalable distributed real-time search on microblogs. EDBT 2013: 335-346 - [c112]Milad Eftekhar, Yashar Ganjali, Nick Koudas:
Information cascade at group scale. KDD 2013: 401-409 - [c111]Alex Cheng, Nilesh Bansal, Nick Koudas:
Peckalytics: analyzing experts and interests on Twitter. SIGMOD Conference 2013: 973-976 - [c110]Milad Eftekhar, Nick Koudas, Yashar Ganjali:
Bursty subgraphs in social networks. WSDM 2013: 213-222 - 2012
- [j35]Albert Angel, Nick Koudas, Nikos Sarkas, Divesh Srivastava:
Dense Subgraph Maintenance under Streaming Edge Weight Updates for Real-time Story Identification. Proc. VLDB Endow. 5(6): 574-585 (2012) - [i2]Albert Angel, Nick Koudas, Nikos Sarkas, Divesh Srivastava:
Dense Subgraph Maintenance under Streaming Edge Weight Updates for Real-time Story Identification. CoRR abs/1203.0060 (2012) - 2011
- [j34]Nick Koudas:
Letter from the Research Track Co-Chair. Proc. VLDB Endow. 4(4): vi (2011) - [c109]Albert Angel, Nick Koudas:
Efficient diversity-aware search. SIGMOD Conference 2011: 781-792 - 2010
- [j33]Tomasz Nykiel, Michalis Potamias, Chaitanya Mishra, George Kollios, Nick Koudas:
MRShare: Sharing Across Multiple Queries in MapReduce. Proc. VLDB Endow. 3(1): 494-505 (2010) - [j32]Michael Mathioudakis, Nilesh Bansal, Nick Koudas:
Identifying, Attributing and Describing Spatial Bursts. Proc. VLDB Endow. 3(1): 1091-1102 (2010) - [j31]Benjamin Arai, Gautam Das, Dimitrios Gunopulos, Vagelis Hristidis, Nick Koudas:
An Access Cost-Aware Approach for Object Retrieval over Multiple Sources. Proc. VLDB Endow. 3(1): 1125-1136 (2010) - [j30]Xiaokui Xiao, Yufei Tao, Nick Koudas:
Transparent anonymization: Thwarting adversaries who know the algorithm. ACM Trans. Database Syst. 35(2): 8:1-8:48 (2010) - [j29]Rui Zhang, Nick Koudas, Beng Chin Ooi, Divesh Srivastava, Pu Zhou:
Streaming multiple aggregations using phantoms. VLDB J. 19(4): 557-583 (2010) - [c108]Dimitris Tsirogiannis, Nick Koudas:
Suffix tree construction algorithms on modern hardware. EDBT 2010: 263-274 - [c107]Nikos Sarkas, Albert Angel, Nick Koudas, Divesh Srivastava:
Efficient identification of coupled entities in document collections. ICDE 2010: 769-772 - [c106]Michael Mathioudakis, Nick Koudas:
TwitterMonitor: trend detection over the twitter stream. SIGMOD Conference 2010: 1155-1158 - [c105]Sihem Amer-Yahia, AnHai Doan, Jon M. Kleinberg, Nick Koudas, Michael J. Franklin:
Crowds, clouds, and algorithms: exploring the human side of "big data" applications. SIGMOD Conference 2010: 1259-1260 - [c104]Michael Mathioudakis, Nick Koudas, Peter Marbach:
Early online identification of attention gathering items in social media. WSDM 2010: 301-310 - [e2]Jimmy X. Huang, Nick Koudas, Gareth J. F. Jones, Xindong Wu, Kevyn Collins-Thompson, Aijun An:
Proceedings of the 19th ACM Conference on Information and Knowledge Management, CIKM 2010, Toronto, Ontario, Canada, October 26-30, 2010. ACM 2010, ISBN 978-1-4503-0099-5 [contents] - [i1]Xiaokui Xiao, Yufei Tao, Nick Koudas:
Transparent Anonymization: Thwarting Adversaries Who Know the Algorithm. CoRR abs/1003.5080 (2010)
2000 – 2009
- 2009
- [j28]Demetrios Zeinalipour-Yazti, Zografoula Vagena, Vana Kalogeraki, Dimitrios Gunopulos, Vassilis J. Tsotras, Michail Vlachos, Nick Koudas, Divesh Srivastava:
Finding the K highest-ranked answers in a distributed network. Comput. Networks 53(9): 1431-1449 (2009) - [j27]Nikos Sarkas, Nilesh Bansal, Gautam Das, Nick Koudas:
Measure-driven Keyword-Query Expansion. Proc. VLDB Endow. 2(1): 121-132 (2009) - [j26]Nikos Sarkas, Gautam Das, Nick Koudas:
Improved Search for Socially Annotated Data. Proc. VLDB Endow. 2(1): 778-789 (2009) - [j25]Dimitris Tsirogiannis, Sudipto Guha, Nick Koudas:
Improving the Performance of List Intersection. Proc. VLDB Endow. 2(1): 838-849 (2009) - [j24]Nick Koudas, Divesh Srivastava, Ting Yu, Qing Zhang:
Distribution-based Microdata Anonymization. Proc. VLDB Endow. 2(1): 958-969 (2009) - [j23]Ahmet Bulut, Nick Koudas, Anand Meka, Ambuj K. Singh, Divesh Srivastava:
Optimization Techniques for Reactive Network Monitoring. IEEE Trans. Knowl. Data Eng. 21(9): 1343-1357 (2009) - [j22]Chaitanya Mishra, Nick Koudas:
The design of a query monitoring system. ACM Trans. Database Syst. 34(1): 1:1-1:51 (2009) - [j21]Benjamin Arai, Gautam Das, Dimitrios Gunopulos, Nick Koudas:
Anytime measures for top-k algorithms on exact and fuzzy data sets. VLDB J. 18(2): 407-427 (2009) - [c103]Michael Mathioudakis, Nick Koudas:
Efficient identification of starters and followers in social media. EDBT 2009: 708-719 - [c102]Chaitanya Mishra, Nick Koudas:
Interactive query refinement. EDBT 2009: 862-873 - [c101]Albert Angel, Surajit Chaudhuri, Gautam Das, Nick Koudas:
Ranking objects based on relationships and fixed associations. EDBT 2009: 910-921 - [c100]Chaitanya Mishra, Nick Koudas:
Join Reordering by Join Simulation. ICDE 2009: 493-504 - [c99]Nick Koudas, Avishek Saha, Divesh Srivastava, Suresh Venkatasubramanian:
Metric Functional Dependencies. ICDE 2009: 1275-1278 - [c98]Manos Papagelis, Nilesh Bansal, Nick Koudas:
Information Cascades in the Blogosphere: A Look Behind the Curtain. ICWSM 2009 - [c97]Marios Hadjieleftheriou, Nick Koudas, Divesh Srivastava:
Incremental maintenance of length normalized indexes for approximate string matching. SIGMOD Conference 2009: 429-440 - [c96]Albert Angel, Nick Koudas, Nikos Sarkas, Divesh Srivastava:
What's on the grapevine? SIGMOD Conference 2009: 1047-1050 - [c95]Yin Yang, Nilesh Bansal, Wisam Dakka, Panagiotis G. Ipeirotis, Nick Koudas, Dimitris Papadias:
Query by document. WSDM 2009: 34-43 - 2008
- [j20]Themis Palpanas, Nick Koudas, Alberto O. Mendelzon:
On space constrained set selection problems. Data Knowl. Eng. 67(1): 200-218 (2008) - [j19]Marios Hadjieleftheriou, Xiaohui Yu, Nick Koudas, Divesh Srivastava:
Hashed samples: selectivity estimators for set similarity selection queries. Proc. VLDB Endow. 1(1): 201-212 (2008) - [c94]Gautam Das, Nick Koudas, Manos Papagelis, Sushruth Puttaswamy:
Efficient sampling of information in social networks. SSM 2008: 67-74 - [c93]Lukasz Golab, Theodore Johnson, Nick Koudas, Divesh Srivastava, David Toman:
Optimizing away joins on data streams. SSPS 2008: 48-57 - [c92]Bing Tian Dai, Nick Koudas, Divesh Srivastava, Anthony K. H. Tung, Suresh Venkatasubramanian:
Validating Multi-column Schema Matchings by Type. ICDE 2008: 120-129 - [c91]Marios Hadjieleftheriou, Amit Chandel, Nick Koudas, Divesh Srivastava:
Fast Indexes and Algorithms for Set Similarity Selection Queries. ICDE 2008: 267-276 - [c90]Nilesh Bansal, Sudipto Guha, Nick Koudas:
Ad-hoc aggregations of ranked lists in the presence of hierarchies. SIGMOD Conference 2008: 67-78 - [c89]Nikos Sarkas, Gautam Das, Nick Koudas, Anthony K. H. Tung:
Categorical skylines for streaming data. SIGMOD Conference 2008: 239-250 - [c88]Chaitanya Mishra, Nick Koudas, Calisto Zuzarte:
Generating targeted queries for database testing. SIGMOD Conference 2008: 499-510 - [c87]Chaitanya Mishra, Nick Koudas:
Stretch 'n' shrink: resizing queries to user preferences. SIGMOD Conference 2008: 1227-1230 - [c86]Nick Koudas:
Adventures in the Blogosphere. SSDBM 2008: 2 - 2007
- [j18]Nick Koudas:
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 30(2): 5 (2007) - [j17]