Nick Koudas

ORCID

Publication Activity (10 Years)

Years Active: 1996-2025
Publications (10 Years): 58

Top Venues

Publications

Daren Chao, Nick Koudas, Xiaohui Yu, Yueting Chen
Ensembling Object Detectors for Effective Video Query Processing. EDBT (2025)
Ioannis Xarchakos, Nick Koudas
Coping With Data Drift in Online Video Analytics. EDBT (2025)
Naiqing Guan, Nick Koudas
ActiveDP: Bridging Active Learning and Data Programming. CoRR (2024)
Yifan Li, Xiaohui Yu, Nick Koudas
Data Acquisition for Improving Model Confidence. Proc. ACM Manag. Data 2 (3) (2024)
Naiqing Guan, Nick Koudas
ActiveDP: Bridging Active Learning and Data Programming. EDBT (2024)
Sana Ebrahimi, Kaiwen Chen, Abolfazl Asudeh, Gautam Das, Nick Koudas
AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs. CoRR (2024)
Naiqing Guan, Nick Koudas
WeShap: Weak Supervision Source Evaluation with Shapley Values. CoRR (2024)
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) (2024)
Kaiwen Chen, Nick Koudas
Unstructured Data Fusion for Schema and Data Extraction. Proc. ACM Manag. Data 2 (3) (2024)
Daren Chao, Nick Koudas
Querying For Actions Over Videos. EDBT (2024)
Daren Chao, Kaiwen Chen, Nick Koudas
SVQ-ACT: Querying for Actions over Videos. ICDE (2023)
Naiqing Guan, Kaiwen Chen, Nick Koudas
Can Large Language Models Design Accurate Label Functions? CoRR (2023)
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) (2023)
Ioannis Xarchakos, Nick Koudas
Querying for Interactions. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Daren Chao, Yueting Chen, Nick Koudas, Xiaohui Yu
Track Merging for Effective Video Query Processing. ICDE (2023)
Daren Chao, Nick Koudas, Xiaohui Yu
Marshalling Model Inference in Video Streams. ICDE (2023)
Ziqiang Yu, Xiaohui Yu, Nick Koudas, Yueting Chen, Yang Liu
A Distributed Solution for Efficient K Shortest Paths Computation over Dynamic Road Networks. CoRR (2023)
Tommaso Teofili, Donatella Firmani, Nick Koudas, Vincenzo Martello, Paolo Merialdo, Divesh Srivastava
Effective Explanations for Entity Resolution Models. CoRR (2022)
Yueting Chen, Nick Koudas, Xiaohui Yu, Ziqiang Yu
Spatial and Temporal Constrained Ranked Retrieval over Videos. Proc. VLDB Endow. 15 (11) (2022)
Yueting Chen, Xiaohui Yu, Nick Koudas
Ranked Window Query Retrieval over Video Repositories. ICDE (2022)
Saravanan Thirumuruganathan, Suraj Shetiya, Nick Koudas, Gautam Das
Prediction Intervals for Learned Cardinality Estimation: An Experimental Evaluation. ICDE (2022)
Nick Koudas, Raymond Li, Ioannis Xarchakos
Video Monitoring Queries. IEEE Trans. Knowl. Data Eng. 34 (10) (2022)
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) (2022)
Tommaso Teofili, Donatella Firmani, Nick Koudas, Vincenzo Martello, Paolo Merialdo, Divesh Srivastava
Effective Explanations for Entity Resolution Models. ICDE (2022)
Naiqing Guan, Nick Koudas
FILA: Online Auditing of Machine Learning Model Accuracy under Finite Labelling Budget. SIGMOD Conference (2022)
Yifan Li, Xiaohui Yu, Nick Koudas
LES3: Learning-based exact set similarity search. Proc. VLDB Endow. 14 (11) (2021)
Yifan Li, Xiaohui Yu, Nick Koudas
LES3: Learning-based Exact Set Similarity Search. CoRR (2021)
Zhaoyue Cheng, Nick Koudas, Zhe Zhang, Xiaohui Yu
Efficient Construction of Nonlinear Models over Normalized Data. ICDE (2021)
Sona Hasani, Saravanan Thirumuruganathan, Nick Koudas, Gautam Das
Shahin: Faster Algorithms for Generating Explanations for Multiple Predictions. SIGMOD Conference (2021)
Yueting Chen, Xiaohui Yu, Nick Koudas, Ziqiang Yu
Evaluating Temporal Queries Over Video Feeds. SIGMOD Conference (2021)
Yifan Li, Xiaohui Yu, Nick Koudas
Data Acquisition for Improving Machine Learning Models. Proc. VLDB Endow. 14 (10) (2021)
Yifan Li, Xiaohui Yu, Nick Koudas
Data Acquisition for Improving Machine Learning Models. CoRR (2021)
Yannis Xarchakos, Nick Koudas
Querying for Interactions. ICDE (2021)
Zhaoyue Chen, Nick Koudas, Zhe Zhang, Xiaohui Yu
Efficient Construction of Nonlinear Models overNormalized Data. CoRR (2020)
Shohedul Hasan, Saravanan Thirumuruganathan, Jees Augustine, Nick Koudas, Gautam Das
Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries. SIGMOD Conference (2020)
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 (2020)
Nick Koudas, Raymond Li, Ioannis Xarchakos
Video Monitoring Queries. CoRR (2020)
Daren Chao, Nick Koudas, Ioannis Xarchakos
SVQ++: Querying for Object Interactions in Video Streams. SIGMOD Conference (2020)
Suraj Shetiya, Saravanan Thirumuruganathan, Nick Koudas, Gautam Das
Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning. Proc. VLDB Endow. 14 (4) (2020)
Saravanan Thirumuruganathan, Shohedul Hasan, Nick Koudas, Gautam Das
Approximate Query Processing for Data Exploration using Deep Generative Models. ICDE (2020)
Yifan Li, Xiaohui Yu, Nick Koudas
Top-k queries over digital traces. CoRR (2020)
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)
Yueting Chen, Xiaohui Yu, Nick Koudas
TQVS: Temporal Queries over Video Streams in Action. SIGMOD Conference (2020)
Nick Koudas, Raymond Li, Ioannis Xarchakos
Video Monitoring Queries. ICDE (2020)
Yueting Chen, Xiaohui Yu, Nick Koudas
Evaluating Temporal Queries Over Video Feeds. CoRR (2020)
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) (2019)
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)
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)
Zhaoyue Cheng, Nick Koudas
Nonlinear Models Over Normalized Data. ICDE (2019)
Ioannis Xarchakos, Nick Koudas
SVQ: Streaming Video Queries. SIGMOD Conference (2019)
Saravanan Thirumuruganathan, Shohedul Hasan, Nick Koudas, Gautam Das
Approximate Query Processing using Deep Generative Models. CoRR (2019)
Abolfazl Asudeh, Azade Nazi, Nick Koudas, Gautam Das
Maximizing Gain over Flexible Attributes in Peer to Peer Marketplaces. PAKDD (3) (2019)
Yifan Li, Xiaohui Yu, Nick Koudas
Top-k Queries over Digital Traces. SIGMOD Conference (2019)
Shohedul Hasan, Saravanan Thirumuruganathan, Jees Augustine, Nick Koudas, Gautam Das
Multi-Attribute Selectivity Estimation Using Deep Learning. CoRR (2019)
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) (2018)
Md Farhadur Rahman, Abolfazl Asudeh, Nick Koudas, Gautam Das
Efficient Computation of Subspace Skyline over Categorical Domains. CIKM (2017)
Md Farhadur Rahman, Abolfazl Asudeh, Nick Koudas, Gautam Das
Efficient Computation of Subspace Skyline over Categorical Domains. CoRR (2017)
Abolfazl Asudeh, Azade Nazi, Nick Koudas, Gautam Das
Assisting Service Providers In Peer-to-peer Marketplaces: Maximizing Gain Over Flexible Attributes. CoRR (2017)
Suprio Ray, Angela Demke Brown, Nick Koudas, Rolando Blanco, Anil K. Goel
Parallel in-memory trajectory-based spatiotemporal topological join. IEEE BigData (2015)
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)
Priyank Gupta, Nick Koudas, Europa Shang, Ryan Johnson, Calisto Zuzarte
Processing Analytical Workloads Incrementally. CoRR (2015)
Alex Cheng, Mary Malit, Chuanxi Zhang, Nick Koudas
SerpentTI: flexible analytics of users, boards and domains for pinterest. SIGMOD Conference (2014)
Milad Eftekhar, Saravanan Thirumuruganathan, Gautam Das, Nick Koudas
Price trade-offs in social media advertising. COSN (2014)
Tomasz Nykiel, Michalis Potamias, Chaitanya Mishra, George Kollios, Nick Koudas
Sharing across Multiple MapReduce Jobs. ACM Trans. Database Syst. 39 (2) (2014)
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) (2014)
Milad Eftekhar, Yashar Ganjali, Nick Koudas
Information cascade at group scale. KDD (2013)
Liwei Lin, Xiaohui Yu, Nick Koudas
Pollux: towards scalable distributed real-time search on microblogs. EDBT (2013)
Milad Eftekhar, Nick Koudas
Some Research Opportunities on Twitter Advertising. IEEE Data Eng. Bull. 36 (3) (2013)
Alex Cheng, Nilesh Bansal, Nick Koudas
Peckalytics: analyzing experts and interests on Twitter. SIGMOD Conference (2013)
Manos Papagelis, Gautam Das, Nick Koudas
Sampling Online Social Networks. IEEE Trans. Knowl. Data Eng. 25 (3) (2013)
Milad Eftekhar, Nick Koudas, Yashar Ganjali
Bursty subgraphs in social networks. WSDM (2013)
Milad Eftekhar, Nick Koudas
Partitioning and Ranking Tagged Data Sources. Proc. VLDB Endow. 6 (4) (2013)
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) (2012)
Albert Angel, Nick Koudas, Nikos Sarkas, Divesh Srivastava
Dense Subgraph Maintenance under Streaming Edge Weight Updates for Real-time Story Identification CoRR (2012)
Albert Angel, Nick Koudas
Efficient diversity-aware search. SIGMOD Conference (2011)
Nick Koudas
Letter from the Research Track Co-Chair. Proc. VLDB Endow. 4 (4) (2011)
Dimitris Tsirogiannis, Nick Koudas
Suffix tree construction algorithms on modern hardware. EDBT (2010)
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) (2010)
Michael Mathioudakis, Nick Koudas
TwitterMonitor: trend detection over the twitter stream. SIGMOD Conference (2010)
Michael Mathioudakis, Nilesh Bansal, Nick Koudas
Identifying, Attributing and Describing Spatial Bursts. Proc. VLDB Endow. 3 (1) (2010)
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)
Xiaokui Xiao, Yufei Tao, Nick Koudas
Transparent anonymization: Thwarting adversaries who know the algorithm. ACM Trans. Database Syst. 35 (2) (2010)
Michael Mathioudakis, Nick Koudas, Peter Marbach
Early online identification of attention gathering items in social media. WSDM (2010)
Rui Zhang, Nick Koudas, Beng Chin Ooi, Divesh Srivastava, Pu Zhou
Streaming multiple aggregations using phantoms. VLDB J. 19 (4) (2010)
Nikos Sarkas, Albert Angel, Nick Koudas, Divesh Srivastava
Efficient identification of coupled entities in document collections. ICDE (2010)
Xiaokui Xiao, Yufei Tao, Nick Koudas
Transparent Anonymization: Thwarting Adversaries Who Know the Algorithm CoRR (2010)
Tomasz Nykiel, Michalis Potamias, Chaitanya Mishra, George Kollios, Nick Koudas
MRShare: Sharing Across Multiple Queries in MapReduce. Proc. VLDB Endow. 3 (1) (2010)
Michael Mathioudakis, Nick Koudas
Efficient identification of starters and followers in social media. EDBT (2009)
Chaitanya Mishra, Nick Koudas
The design of a query monitoring system. ACM Trans. Database Syst. 34 (1) (2009)
Nikos Sarkas, Gautam Das, Nick Koudas
Improved Search for Socially Annotated Data. Proc. VLDB Endow. 2 (1) (2009)
Manos Papagelis, Nilesh Bansal, Nick Koudas
Information Cascades in the Blogosphere: A Look Behind the Curtain. ICWSM (2009)
Nikos Sarkas, Nilesh Bansal, Gautam Das, Nick Koudas
Measure-driven Keyword-Query Expansion. Proc. VLDB Endow. 2 (1) (2009)
Nick Koudas, Divesh Srivastava, Ting Yu, Qing Zhang
Distribution-based Microdata Anonymization. Proc. VLDB Endow. 2 (1) (2009)
Benjamin Arai, Gautam Das, Dimitrios Gunopulos, Nick Koudas
algorithms on exact and fuzzy data sets. VLDB J. 18 (2) (2009)
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) (2009)
Chaitanya Mishra, Nick Koudas
Join Reordering by Join Simulation. ICDE (2009)
Ahmet Bulut, Nick Koudas, Anand Meka, Ambuj K. Singh, Divesh Srivastava
Optimization Techniques for Reactive Network Monitoring. IEEE Trans. Knowl. Data Eng. 21 (9) (2009)
Albert Angel, Surajit Chaudhuri, Gautam Das, Nick Koudas
Ranking objects based on relationships and fixed associations. EDBT (2009)
Albert Angel, Nick Koudas, Nikos Sarkas, Divesh Srivastava
What's on the grapevine? SIGMOD Conference (2009)
Yin Yang, Nilesh Bansal, Wisam Dakka, Panagiotis G. Ipeirotis, Nick Koudas, Dimitris Papadias
Query by document. WSDM (2009)

Nick Koudas.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Nick Koudas