Showing results 1 to 56 of 56
A model for quantifying information leakage Whang, Steven Euijong; Garcia-Molina, Hector, 9th VLDB Workshop on Secure Data Management, SDM 2012, pp.25 - 44, ACM SIGMOD and VLDB Endowment, 2012-08 |
A practitioner's approach to normalizing XQuery expressions Lee, Ki-Hoon; Kim, Seo-Young; Whang, Steven Euijong; Lee, Jae-Gil, 11th International Conference on Database Systems for Advanced Applications, DASFAA 2006, pp.437 - 453, DASFAA Conference, 2006-04 |
A Survey on Data Collection for Machine Learning: a Big Data - AI Integration Perspective Roh, Yuji; Heo, Geon; Whang, Steven Euijong, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, v.33, no.4, pp.1328 - 1347, 2021-04 |
Automated Data Slicing for Model Validation: A Big data - AI Integration Approach Chung, Yeounoh; Kraska, Tim; Polyzotis, Neoklis; Tae, Ki Hyun; Whang, Steven Euijong, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, v.32, no.12, pp.2284 - 2296, 2020-12 |
Biperpedia: An ontology for search applications Gupta, Rahul; Halevy, Alon; Wang, Xuezhi; Whang, Steven Euijong; Wu, Fei, 40th International Conference on Very Large Data Bases, VLDB 2014, pp.505 - 516, The VLDB Endowment, 2014-09 |
Data cleaning for accurate, fair, and robust models: A big data - AI integration approach Tae, Ki Hyun; Roh, Yuji; Oh, Young Hun; Kim, Hyunsu; Whang, Steven Euijong, 3rd Workshop on Data Management for End-To-End Machine Learning, DEEM 2019 - In conjunction with the 2019 ACM SIGMOD/PODS Conference, pp.5:1 - 5:4, Association for Computing Machinery, 2019-06-30 |
Data collection and quality challenges for deep learning Whang, Steven Euijong; Lee, Jae-Gil, International Conference on Very Large Data Bases (VLDB), pp.3429 - 3432, VLDB Endowment, 2020-09-02 |
Data Collection and Quality Challenges for Deep Learning Whang, Steven Euijong; Lee, Jae-Gil, PROCEEDINGS OF THE VLDB ENDOWMENT, v.13, no.12, pp.3429 - 3432, 2020-08 |
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective Whang, Steven Euijong; Roh, Yuji; Song, Hwanjun; Lee, Jae-Gil, VLDB JOURNAL, v.32, no.4, pp.791 - 813, 2023-07 |
Data Lifecycle Challenges in Production Machine Learning: A Survey Polyzotis, Neoklis; Roy, Sudip; Whang, Steven Euijong; Zinkevich, Martin, SIGMOD RECORD, v.47, no.2, pp.17 - 28, 2018-06 |
Data management challenges in production machine learning Polyzotis, Neoklis; Roy, Sudip; Whang, Steven Euijong; Zinkevich, Martin, 2017 ACM SIGMOD International Conference on Management of Data, SIGMOD 2017, pp.1723 - 1726, ACM Special Interest Group on Management of Data (SIGMOD), 2017-05 |
Data Validation for Machine Learning Breck, Eric; Polyzotis, Neoklis; Roy, Sudip; Whang, Steven Euijong; Zinkevich, Martin, 3rd Conference on Machine Learning and Systems (MLSys), Stanford University, 2019-04-02 |
Developments in Generic Entity Resolution Whang, Steven Euijong; Garcia-Molina, Hector, IEEE Data Engineering Bulletin, v.34, no.3, pp.51 - 59, 2011-09 |
Discovering structure in the universe of attribute names Halevy, Alon; Noy, Natalya; Sarawagi, Sunita; Whang, Steven Euijong; Yu, Xiao, 25th International World Wide Web Conference, WWW 2016, pp.939 - 949, International World Wide Web Conference Committee, 2016-04 |
Discovering subsumption relationships for web-based ontologies Movshovitz-Attias, Dana; Whang, Steven Euijong; Noy, Natalya; Halevy, Alon, 18th International Workshop on the Web and Databases, WebDB 2015, pp.62 - 69, Association for Computing Machinery, Inc, 2015-05 |
Disinformation techniques for entity resolution Whang, Steven Euijong; Garcia-Molina, Hector, 22nd ACM International Conference on Information and Knowledge Management, CIKM 2013, pp.715 - 720, ACM Special Interest Group on Information Retrieval (SIGIR), 2013-10 |
Entity resolution with evolving rules Whang, Steven Euijong; Garcia-Molina, Hector, 36th International Conference on Very Large Data Bases, VLDB 2010, pp.1326 - 1337, The VLDB Endowment, 2010-09 |
Entity resolution with iterative blocking Whang, Steven Euijong; Menestrina, David; Koutrika, Georgia; Theobald, Martin; Garcia-Molina, Hector, International Conference on Management of Data and 28th Symposium on Principles of Database Systems, SIGMOD-PODS'09, pp.219 - 231, ACM Special Interest Group on Management of Data (SIGMOD), 2009-06 |
Evaluating entity resolution results Menestrina, David; Whang, Steven Euijong; Garciamolina, Hector, 36th International Conference on Very Large Data Bases, VLDB 2010, pp.208 - 219, The VLDB Endowment, 2010-09 |
Explainability aware clustering: a case study using COVID-19 analysis = 설명 가능한 클러스터링: 코로나-19 분석을 통한 사례 연구link Hwang, Hyunseung; Whang, Steven Euijong; et al, 한국과학기술원, 2021 |
FairBatch: Batch Selection for Model Fairness Roh, Yuji; Lee, Kangwook; Whang, Steven Euijong; Suh, Changho, 9th International Conference on Learning Representations, The International Conference on Learning Representations, 2021-05-05 |
FairCIL: fair few-shot class-incremental learning : 공정한 퓨샷 클래스 증분 학습 = FairCILlink 박재영; 황의종; et al, 한국과학기술원, 2023 |
FR-Train: A Mutual Information-Based Approach to Fair and Robust Training Roh, Yuji; Lee, Kangwook; Whang, Steven Euijong; Suh, Changho, 37th International Conference on Machine Learning (ICML 2020), ICML, 2020-07-16 |
Generic entity resolution with negative rules Whang, Steven Euijong; Benjelloun, Omar; Garcia-Molina, Hector, VLDB JOURNAL, v.18, no.6, pp.1261 - 1277, 2009-12 |
Goods: Organizing Google's datasets Halevy, Alon; Korn, Flip; Noy, Natalya F.; Olston, Christopher; Polyzotis, Neoklis; Roy, Sudip; Whang, Steven Euijong, 2016 ACM SIGMOD International Conference on Management of Data, SIGMOD 2016, pp.795 - 806, ACM Special Interest Group on Management of Data (SIGMOD), 2016-06 |
iFlipper: Label Flipping for Individual Fairness Zhang, Hantian; Tae, Ki Hyun; Park, Jaeyoung; Chu, Xu; Whang, Steven Euijong, 2023 ACM SIGMOD International Conference on Management of Data, ACM, 2023-06-19 |
Improving Fair Training under Correlation Shifts Roh, Yuji; Lee, Kangwook; Whang, Steven Euijong; Suh, Changho, International Conference on Machine Learning, ICML2023, International Machine Learning Society, 2023-07-25 |
Incremental entity resolution on rules and data Whang, Steven Euijong; Garcia-Molina, Hector, VLDB JOURNAL, v.23, no.1, pp.77 - 102, 2014-02 |
Indexing boolean expressions Whang, Steven Euijong; Garcia-Molina, Hector; Brower, Chad; Shanmugasundaram, Jayavel; Vassilvitskii, Sergei; Vee, Erik; Yerneni, Ramana, 35th International Conference on Very Large Data Bases, VLDB 2009, pp.37 - 48, The VLDB Endowment, 2009-08 |
Inspector Gadget: A Data Programming-based Labeling System for Industrial Images Heo, Geon; Roh, Yuji; Hwang, Seonghyeon; Lee, Dayun; Whang, Steven Euijong, 47th International Conference on Very Large Data Bases (VLDB), VLDB Endowment, 2021-08-17 |
Joint entity resolution Whang, Steven Euijong; Garcia-Molina, Hector, IEEE 28th International Conference on Data Engineering, ICDE 2012, pp.294 - 305, IEEE Computer Society, 2012-04 |
Joint entity resolution on multiple datasets Whang, Steven Euijong; Garcia-Molina, Hector, VLDB JOURNAL, v.22, no.6, pp.773 - 795, 2013-12 |
LONLIES: Estimating property values for long tail entities Farid, Mina; IIyas, Ihab F.; Whang, Steven Euijong; Yu, Cong, 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2016, pp.1125 - 1128, ACM Special Interest Group on Information Retrieval (SIGIR), 2016-07 |
Machine Learning Robustness, Fairness, and their Convergence Lee, Jae-Gil; Roh, Yuji; Song, Hwanjun; Whang, Steven Euijong, 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2021, pp.4046 - 4047, Association for Computing Machinery, 2021-08-14 |
Managing Google’s data lake: an overview of the Goods system Halevy, Alon; Korn, Flip; Noy, Natalya F.; Olston, Christopher; Polyzotis, Neoklis; Roy, Sudip; Whang, Steven Euijong, IEEE Data Engineering Bulletin, v.39, no.3, pp.5 - 14, 2016-09 |
Managing information leakage Whang, Steven Euijong; Molina, Hector Garcia, 5th Biennial Conference on Innovative Data Systems Research, CIDR 2011, pp.79 - 84, CIDR Conference, 2011-01 |
Open-world COVID-19 Data Visualization Hwang, Hyunseung; Whang, Steven Euijong, 6th International Workshop on Data Management and Analytics for Medicine and Healthcare, VLDB Endowment, 2020-09-04 |
Open-World COVID-19 Data Visualization [Extended Abstract] Hwang, Hyunseung; Whang, Steven Euijong, VLDB workshops: International Workshop on Polystore Systems for Heterogeneous Data in Multiple Databases with Privacy and Security Assurances, Poly 2020, and 6th International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2020, pp.81 - 84, Springer Science and Business Media Deutschland GmbH, 2021-09 |
Pay-As-You-Go Entity Resolution Whang, Steven Euijong; Marmaros, David; Garcia-Molina, Hector, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, v.25, no.5, pp.1111 - 1124, 2013-05 |
Question selection for crowd entity resolution Whang, Steven Euijong; Lofgren, Peter; Garcia-Molina, Hector, 39th International Conference on Very Large Data Bases, VLDB 2013, pp.349 - 360, The VLDB Endowment, 2013-08 |
Redactor: A Data-centric and Individualized Defense Against Inference Attacks Heo, Geon; Whang, Steven Euijong, The 37th AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2023-02-08 |
ReNoun: Fact extraction for nominal attributes Yahya, Mohamed; Whang, Steven Euijong; Gupta, Rahul; Halevy, Alon, 2014 Conference on Empirical Methods in Natural Language Processing, EMNLP 2014, pp.325 - 335, Association for Computational Linguistics, SIGDAT, 2014-10 |
Responsible AI Challenges in End-to-end Machine Learning Whang, Steven Euijong; Tae, Ki Hyun; Roh, Yuji; Heo, Geon, The Bulletin of the Technical Committee on Data Engineering, v.44, no.1, pp.79 - 91, 2021-03 |
Sample Selection for Fair and Robust Training Roh, Yuji; Whang, Steven Euijong; Lee, Kangwook; Suh, Changho, 35th Conference on Neural Information Processing Systems (NeurIPS 2021), NeurIPS, 2021-12-09 |
Slice Finder: Automated Data Slicing for Model Validation Chung, Yeounoh; Kraska, Tim; Polyzotis, Neoklis; Tae, Ki Hyun; Whang, Steven Euijong, 35th IEEE International Conference on Data Engineering, ICDE 2019, pp.1550 - 1553, IEEE Computer Society, 2019-04 |
Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models Tae, Ki Hyun; Whang, Steven Euijong, 2021 International Conference on Management of Data, SIGMOD 2021, Association for Computing Machinery, 2021-06-21 |
Swoosh: a generic approach to entity resolution Benjelloun, Omar; Garcia-Molina, Hector; Menestrina, David; Su, Qi; Whang, Steven Euijong; Widom, Jennifer, VLDB JOURNAL, v.18, no.1, pp.255 - 276, 2009-01 |
TFX: A TensorFlow-based production-scale machine learning platform Baylor, Denis; Breck, Eric; Cheng, Heng-Tze; Fiedel, Noah; Foo, Chuan Yu; Haque, Zakaria; Haykal, Salem; et al, 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2017, pp.1387 - 1395, ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), 2017-08 |
The World is Changing: Improving Fair Training under Correlation Shifts Roh, Yuji; Suh, Changho; Lee, Kangwook; Whang, Steven Euijong, International Conference on Learning Representations, ICLR 2023, International Conference on Learning Representation, 2023-05-02 |
XClusters: Explainability-first Clustering Hwang, Hyunseung; Whang, Steven Euijong, The 37th AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2023-02-08 |
개인 정보를 보호하는 공정한 이미지 데이터 생성 기법 = Fair and private image data generationlink 김소연; 황의종; et al, 한국과학기술원, 2023 |
기계 학습을 위한 특징 및 데이터셋 선택 통합 프레임워크 = (An) integrated framework of feature and dataset selection for machine learninglink 이병규; 황의종; et al, 한국과학기술원, 2021 |
머신 러닝을 위한 데이터 변화 감지 및 보정 통합 시스템 = (A) fully-integrated data drift detection and stitching system for machine learninglink 이다윤; 황의종; et al, 한국과학기술원, 2021 |
머신러닝에서의 데이터 드리프트 문제 해결을 위한 데이터 보정 및 선택 자동화 기법 = Automatic data calibration and selection techniques for addressing drifting data in machine learninglink 김민수; 황의종; et al, 한국과학기술원, 2022 |
빅데이터와 인공지능 통합 관점에서 본 크라우드 소싱과 데이터 프로그래밍을 이용한 대규모 이미지 데이터 레이블링 = Massive image labeling using crowdsourcing and data programming : a big data AI integration perspectivelink 허건; 황의종; et al, 한국과학기술원, 2020 |
회귀 분석을 위한 데이터 혼합 증대 기법 = Data mixing augmentation techniques for regressionlink 황성현; 황의종; et al, 한국과학기술원, 2021 |
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