Julia Stoyanovich

198 papers A* 18A 9B 15C 2Journal 104Unranked 46
YearRankTypeTitle / Venue / Authors
2026 J jnl
ExplainerPFN: Towards tabular foundation models for model-free zero-shot feature importance estimations.
CoRR
João Fonseca, Julia Stoyanovich
2026 J jnl
Explanation Multiplicity in SHAP: Characterization and Assessment.
CoRR
Hyunseung Hwang, Seungeun Lee, Lucas Rosenblatt, Steven Euijong Whang, Julia Stoyanovich
2026 J jnl
Memory Undone: Between Knowing and Not Knowing in Data Systems.
CoRR
Viktoriia Makovska, George Fletcher, Julia Stoyanovich, Tetiana Zakharchenko
2026 J jnl
SafeTutors: Benchmarking Pedagogical Safety in AI Tutoring Systems.
CoRR
Rima Hazra, Bikram Ghuku, Ilona Marchenko, Yaroslava Tokarieva, Sayan Layek, Somnath Banerjee, Julia Stoyanovich, Mykola Pechenizkiy
2026 — conf
Seasoning Data Modeling Education with GARLIC: A Participatory Co-Design Framework.
EDBT/ICDT Workshops
Viktoriia Makovska, Ihor Michurin, Mariia Tokhtamysh, George Fletcher, Julia Stoyanovich
2026 J jnl
Seasoning Data Modeling Education with GARLIC: A Participatory Co-Design Framework.
CoRR
Viktoriia Makovska, Ihor Michurin, Mariia Tokhtamysh, George Fletcher, Julia Stoyanovich
2025 J jnl
"Would You Want an AI Tutor?" Understanding Stakeholder Perceptions of LLM-based Chatbots in the Classroom.
CoRR
Caterina Fuligni, Daniel Dominguez Figaredo, Julia Stoyanovich
2025 — conf
CREDAL: Close Reading of Data Models.
HILDA@SIGMOD
George Fletcher, Olha Nahurna, Matvii Prytula, Julia Stoyanovich
2025 J jnl
CREDAL: Close Reading of Data Models.
CoRR
George Fletcher, Olha Nahurna, Matvii Prytula, Julia Stoyanovich
2025 J jnl
Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data.
CoRR
Shlomi Hod, Lucas Rosenblatt, Julia Stoyanovich
2025 A conf
From Benchmarking to Understanding FairML.
ECAI
Mykola Pechenizkiy, Hilde J. P. Weerts, Cassio de Campos, Yuya Sasaki, Julia Stoyanovich
2025 — conf
How Much Effort Is Enough? Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity.
EAAMO
Andrew Bell, João Fonseca, Carlo Abrate, Francesco Bonchi, Julia Stoyanovich
2025 A* conf
Making Transparency Advocates: An Educational Approach Towards Better Algorithmic Transparency in Practice.
AAAI
Andrew Bell, Julia Stoyanovich
2025 — conf
ONION: A Multi-Layered Framework for Participatory ER Design.
HILDA@SIGMOD
Viktoriia Makovska, George Fletcher, Julia Stoyanovich
2025 J jnl
ONION: A Multi-Layered Framework for Participatory ER Design.
CoRR
Viktoriia Makovska, George Fletcher, Julia Stoyanovich
2025 A* conf
SAFENUDGE: Safeguarding Large Language Models in Real-time with Tunable Safety-Performance Trade-offs.
EMNLP
João Fonseca, Andrew Bell, Julia Stoyanovich
2025 — conf
SHAP-based Explanations are Sensitive to Feature Representation.
FAccT
Hyunseung Hwang, Andrew Bell, João Fonseca, Venetia Pliatsika, Julia Stoyanovich, Steven Euijong Whang
2025 J jnl
SHAP-based Explanations are Sensitive to Feature Representation.
CoRR
Hyunseung Hwang, Andrew Bell, João Fonseca, Venetia Pliatsika, Julia Stoyanovich, Steven Euijong Whang
2025 J jnl
Safeguarding Large Language Models in Real-time with Tunable Safety-Performance Trade-offs.
CoRR
João Fonseca, Andrew Bell, Julia Stoyanovich
2025 J jnl
ShaRP: Explaining Rankings and Preferences with Shapley Values.
Proc. VLDB Endow.
Venetia Pliatsika, João Fonseca, Kateryna Akhynko, Ivan Shevchenko, Julia Stoyanovich
2025 J jnl
Still More Shades of Null: An Evaluation Suite for Responsible Missing Value Imputation [Experiment, Analysis and Benchmark].
Proc. VLDB Endow.
Falaah Arif Khan, Denys Herasymuk, Nazar Protsiv, Julia Stoyanovich
2025 J jnl
The Cambridge Report on Database Research.
CoRR
Anastasia Ailamaki, Samuel Madden, Daniel Abadi, Gustavo Alonso, Sihem Amer-Yahia, Magdalena Balazinska, Philip A. Bernstein, Peter Boncz, Michael J. Cafarella, Surajit Chaudhuri, Susan B. Davidson, David J. DeWitt, Yanlei Diao, Xin Luna Dong, Michael J. Franklin, Juliana Freire, Johannes Gehrke, Alon Y. Halevy, Joseph M. Hellerstein, Mark D. Hill, Stratos Idreos, Yannis E. Ioannidis, Christoph Koch, Donald Kossmann, Tim Kraska, Arun Kumar, Guoliang Li, Volker Markl, Renée J. Miller, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Aditya G. Parameswaran, Ippokratis Pandis, Jignesh M. Patel, Andrew Pavlo, Danica Porobic, Viktor Sanca, Michael Stonebraker, Julia Stoyanovich, Dan Suciu, Wang-Chiew Tan, Shivaram Venkataraman, Matei Zaharia, Stanley B. Zdonik
2025 A* conf
Using Case Studies to Teach Responsible AI to Industry Practitioners.
AAAI
Julia Stoyanovich, Rodrigo Kreis de Paula, Armanda Lewis, Chloe Zheng
2025 J jnl
VirnyFlow: A Design Space for Responsible Model Development.
CoRR
Denys Herasymuk, Nazar Protsiv, Julia Stoyanovich
2025 A* conf
We Are AI: Taking Control of Technology.
AAAI
Julia Stoyanovich, Armanda Lewis, Eric Corbett, Lucius E. J. Bynum, Lucas Rosenblatt, Falaah Arif Khan
2025 J jnl
We Are AI: Taking Control of Technology.
CoRR
Julia Stoyanovich, Armanda Lewis, Eric Corbett, Lucius E. J. Bynum, Lucas Rosenblatt, Falaah Arif Khan
2024 A* conf
A New Paradigm for Counterfactual Reasoning in Fairness and Recourse.
IJCAI
Lucius E. J. Bynum, Joshua R. Loftus, Julia Stoyanovich
2024 J jnl
A New Paradigm for Counterfactual Reasoning in Fairness and Recourse.
CoRR
Lucius E. J. Bynum, Joshua R. Loftus, Julia Stoyanovich
2024 A* conf
A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy.
AAAI
Lucas Rosenblatt, Julia Stoyanovich, Christopher Musco
2024 J jnl
Are Data Experts Buying into Differentially Private Synthetic Data? Gathering Community Perspectives.
CoRR
Lucas Rosenblatt, Bill Howe, Julia Stoyanovich
2024 J jnl
Automated Data Cleaning can Hurt Fairness in Machine Learning-Based Decision Making.
IEEE Trans. Knowl. Data Eng.
Shubha Guha, Falaah Arif Khan, Julia Stoyanovich, Sebastian Schelter
2024 J jnl
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy.
SIGMOD Rec.
Lucas Rosenblatt, Bernease Herman, Anastasia Holovenko, Wonkwon Lee, Joshua R. Loftus, Elizabeth McKinnie, Taras Rumezhak, Andrii Stadnik, Bill Howe, Julia Stoyanovich
2024 J jnl
Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity.
CoRR
Andrew Bell, João Fonseca, Carlo Abrate, Francesco Bonchi, Julia Stoyanovich
2024 J jnl
Making Transparency Advocates: An Educational Approach Towards Better Algorithmic Transparency in Practice.
CoRR
Andrew Bell, Julia Stoyanovich
2024 — conf
Making Transparency Influencers: A Case Study of an Educational Approach to Improve Responsible AI Practices in News and Media.
CHI Extended Abstracts
Andrew Bell, Julia Stoyanovich
2024 J jnl
Query Refinement for Diverse Top-k Selection.
CoRR
Felix S. Campbell, Alon Silberstein, Julia Stoyanovich, Yuval Moskovitch
2024 J jnl
Query Refinement for Diverse Top-k Selection.
Proc. ACM Manag. Data
Felix S. Campbell, Alon Silberstein, Julia Stoyanovich, Yuval Moskovitch
2024 — conf
Responsible Model Selection with Virny and VirnyView.
SIGMOD Conference Companion
Denys Herasymuk, Falaah Arif Khan, Julia Stoyanovich
2024 J jnl
Rodeo: Making Refinements for Diverse Top-k Queries.
Proc. VLDB Endow.
Felix S. Campbell, Julia Stoyanovich, Yuval Moskovitch
2024 J jnl
ShaRP: Explaining Rankings with Shapley Values.
CoRR
Venetia Pliatsika, João Fonseca, Tilun Wang, Julia Stoyanovich
2024 J jnl
Still More Shades of Null: A Benchmark for Responsible Missing Value Imputation.
CoRR
Falaah Arif Khan, Denys Herasymuk, Nazar Protsiv, Julia Stoyanovich
2024 J jnl
Temporal graph patterns by timed automata.
VLDB J.
Amir Aghasadeghi, Jan Van den Bussche, Julia Stoyanovich
2024 — conf
The Game Of Recourse: Simulating Algorithmic Recourse over Time to Improve Its Reliability and Fairness.
SIGMOD Conference Companion
Andrew Bell, João Fonseca, Julia Stoyanovich
2024 J jnl
Using Case Studies to Teach Responsible AI to Industry Practitioners.
CoRR
Julia Stoyanovich, Rodrigo Kreis de Paula, Armanda Lewis, Chloe Zheng
2023 J jnl
A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy.
CoRR
Lucas Rosenblatt, Julia Stoyanovich, Christopher Musco
2023 A* conf
Automated Data Cleaning Can Hurt Fairness in Machine Learning-based Decision Making.
ICDE
Shubha Guha, Falaah Arif Khan, Julia Stoyanovich, Sebastian Schelter
2023 A* conf
Counterfactuals for the Future.
AAAI
Lucius E. J. Bynum, Joshua R. Loftus, Julia Stoyanovich
2023 J jnl
ERICA: Query Refinement for Diversity Constraint Satisfaction.
Proc. VLDB Endow.
Jinyang Li, Alon Silberstein, Yuval Moskovitch, Julia Stoyanovich, H. V. Jagadish
2023 J jnl
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy.
Proc. VLDB Endow.
Lucas Rosenblatt, Bernease Herman, Anastasia Holovenko, Wonkwon Lee, Joshua R. Loftus, Elizabeth McKinnie, Taras Rumezhak, Andrii Stadnik, Bill Howe, Julia Stoyanovich
2023 J jnl
Fairness in Ranking, Part I: Score-Based Ranking.
ACM Comput. Surv.
Meike Zehlike, Ke Yang, Julia Stoyanovich
2023 J jnl
Fairness in Ranking, Part II: Learning-to-Rank and Recommender Systems.
ACM Comput. Surv.
Meike Zehlike, Ke Yang, Julia Stoyanovich
2023 — conf
Fairness in Ranking: From Values to Technical Choices and Back.
SIGMOD Conference Companion
Julia Stoyanovich, Meike Zehlike, Ke Yang
2023 J jnl
Introducing contextual transparency for automated decision systems.
Nat. Mac. Intell.
Mona Sloane, Ian Solano-Kamaiko, Jun Yuan, Aritra Dasgupta, Julia Stoyanovich
2023 J jnl
Most Expected Winner: An Interpretation of Winners over Uncertain Voter Preferences.
Proc. ACM Manag. Data
Haoyue Ping, Julia Stoyanovich
2023 J jnl
On Fairness and Stability: Is Estimator Variance a Friend or a Foe?
CoRR
Falaah Arif Khan, Denys Herasymuk, Julia Stoyanovich
2023 — conf
Personal Data for Personal Use: Vision or Reality?
SIGMOD Conference Companion
Xin Luna Dong, Bo Li, Julia Stoyanovich, Anthony Kum Hoe Tung, Gerhard Weikum, Alon Y. Halevy, Wang-Chiew Tan
2023 B ed.
Proceedings 26th International Conference on Extending Database Technology, EDBT 2023, Ioannina, Greece, March 28-31, 2023.
EDBT
Julia Stoyanovich, Jens Teubner, Nikos Mamoulis, Evaggelia Pitoura, Jan Mühlig, Katja Hose, Sourav S. Bhowmick, Matteo Lissandrini
2023 J jnl
Query Refinement for Diversity Constraint Satisfaction.
Proc. VLDB Endow.
Jinyang Li, Yuval Moskovitch, Julia Stoyanovich, H. V. Jagadish
2023 J jnl
Responsible AI literacy: A stakeholder-first approach.
Big Data Soc.
Daniel Dominguez Figaredo, Julia Stoyanovich
2023 — conf
Responsible Data Management.
SEBD
Julia Stoyanovich
2023 — conf
Setting the Right Expectations: Algorithmic Recourse Over Time.
EAAMO
João Fonseca, Andrew Bell, Carlo Abrate, Francesco Bonchi, Julia Stoyanovich
2023 J jnl
Setting the Right Expectations: Algorithmic Recourse Over Time.
CoRR
João Fonseca, Andrew Bell, Carlo Abrate, Francesco Bonchi, Julia Stoyanovich
2023 — conf
Subset Modelling: A Domain Partitioning Strategy for Data-efficient Machine-Learning.
SBBD
Vítor Ribeiro, Eduardo H. M. Pena, Raphael de Freitas Saldanha, Reza Akbarinia, Patrick Valduriez, Falaah Arif Khan, Julia Stoyanovich, Fábio Porto
2023 — conf
The Algorithmic Transparency Playbook: A Stakeholder-first Approach to Creating Transparency for Your Organization's Algorithms.
CHI Extended Abstracts
Andrew Bell, Oded Nov, Julia Stoyanovich
2023 — conf
The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice.
FAccT
Andrew Bell, Lucius Bynum, Nazarii Drushchak, Tetiana Zakharchenko, Lucas Rosenblatt, Julia Stoyanovich
2023 J jnl
The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice.
CoRR
Andrew Bell, Lucius Bynum, Nazarii Drushchak, Tetiana Herasymova, Lucas Rosenblatt, Julia Stoyanovich
2023 J jnl
The Unbearable Weight of Massive Privilege: Revisiting Bias-Variance Trade-Offs in the Context of Fair Prediction.
CoRR
Falaah Arif Khan, Julia Stoyanovich
2023 — conf
Tutorials at The Web Conference 2023.
WWW (Companion Volume)
Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu
2022 J jnl
An external stability audit framework to test the validity of personality prediction in AI hiring.
Data Min. Knowl. Discov.
Alene K. Rhea, Kelsey Markey, Lauren D'Arinzo, Hilke Schellmann, Mona Sloane, Paul Squires, Falaah Arif Khan, Julia Stoyanovich
2022 J jnl
Counterfactuals for the Future.
CoRR
Lucius E. J. Bynum, Joshua R. Loftus, Julia Stoyanovich
2022 J jnl
Data distribution debugging in machine learning pipelines.
VLDB J.
Stefan Grafberger, Paul Groth, Julia Stoyanovich, Sebastian Schelter
2022 J jnl
Developing data capability with non-profit organisations using participatory methods.
Big Data Soc.
Anthony McCosker, Xiaofang Yao, Kath Albury, Alexia Maddox, Jane Farmer, Julia Stoyanovich
2022 J jnl
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy.
CoRR
Lucas Rosenblatt, Anastasia Holovenko, Taras Rumezhak, Andrii Stadnik, Bernease Herman, Julia Stoyanovich, Bill Howe
2022 J jnl
External Stability Auditing to Test the Validity of Personality Prediction in AI Hiring.
CoRR
Alene K. Rhea, Kelsey Markey, Lauren D'Arinzo, Hilke Schellmann, Mona Sloane, Paul Squires, Julia Stoyanovich
2022 — conf
It's Just Not That Simple: An Empirical Study of the Accuracy-Explainability Trade-off in Machine Learning for Public Policy.
FAccT
Andrew Bell, Ian Solano-Kamaiko, Oded Nov, Julia Stoyanovich
2022 B ed.
Proceedings of the 25th International Conference on Extending Database Technology, EDBT 2022, Edinburgh, UK, March 29 - April 1, 2022.
EDBT
Julia Stoyanovich, Jens Teubner, Paolo Guagliardo, Milos Nikolic, Andreas Pieris, Jan Mühlig, Fatma Özcan, Sebastian Schelter, H. V. Jagadish, Meihui Zhang
2022 J jnl
Rankers, Rankees, & Rankings: Peeking into the Pandora's Box from a Socio-Technical Perspective.
CoRR
Jun Yuan, Julia Stoyanovich, Aritra Dasgupta
2022 J jnl
Responsible data management.
Commun. ACM
Julia Stoyanovich, Serge Abiteboul, Bill Howe, H. V. Jagadish, Sebastian Schelter
2022 C conf
Resume Format, LinkedIn URLs and Other Unexpected Influences on AI Personality Prediction in Hiring: Results of an Audit.
AIES
Alene K. Rhea, Kelsey Markey, Lauren D'Arinzo, Hilke Schellmann, Mona Sloane, Paul Squires, Julia Stoyanovich
2022 J jnl
Spending Privacy Budget Fairly and Wisely.
CoRR
Lucas Rosenblatt, Joshua Allen, Julia Stoyanovich
2022 — conf
Teaching Responsible Data Science.
DataEd@SIGMOD
Julia Stoyanovich
2022 J jnl
Teaching Responsible Data Science: Charting New Pedagogical Territory.
Int. J. Artif. Intell. Educ.
Armanda Lewis, Julia Stoyanovich
2022 A* conf
Temporal Regular Path Queries.
ICDE
Marcelo Arenas, Pedro Bahamondes, Amir Aghasadeghi, Julia Stoyanovich
2022 J jnl
Temporal graph patterns by timed automata.
CoRR
Amir Pouya Aghasadeghi, Jan Van den Bussche, Julia Stoyanovich
2022 J jnl
The Many Facets of Data Equity.
ACM J. Data Inf. Qual.
H. V. Jagadish, Julia Stoyanovich, Bill Howe
2022 J jnl
Think About the Stakeholders First! Towards an Algorithmic Transparency Playbook for Regulatory Compliance.
CoRR
Andrew Bell, Oded Nov, Julia Stoyanovich
2022 — conf
Towards Substantive Conceptions of Algorithmic Fairness: Normative Guidance from Equal Opportunity Doctrines.
EAAMO
Falaah Arif Khan, Eleni Manis, Julia Stoyanovich
2022 J jnl
Towards Substantive Conceptions of Algorithmic Fairness: Normative Guidance from Equal Opportunity Doctrines.
CoRR
Falaah Arif Khan, Eleni Manis, Julia Stoyanovich
2021 J jnl
AI reflections in 2020.
Nat. Mach. Intell.
Anna Jobin, Kingson Man, Antonio Damasio, Georgios Kaissis, Rickmer Braren, Julia Stoyanovich, Jay J. Van Bavel, Tessa V. West, Brent D. Mittelstadt, Jason Eshraghian, Marta R. Costa-jussà, Asaf Tzachor, Aimun A. B. Jamjoom, Mariarosaria Taddeo, Edoardo Sinibaldi, Yipeng Hu, Miguel A. Luengo-Oroz
2021 J jnl
Algorithmic Techniques for Necessary and Possible Winners.
Trans. Data Sci.
Vishal Chakraborty, Theo Delemazure, Benny Kimelfeld, Phokion G. Kolaitis, Kunal Relia, Julia Stoyanovich
2021 J jnl
COVID-19 Brings Data Equity Challenges to the Fore.
Digit. Gov. Res. Pract.
H. V. Jagadish, Julia Stoyanovich, Bill Howe
2021 — conf
Causal Intersectionality and Fair Ranking.
FORC
Ke Yang, Joshua R. Loftus, Julia Stoyanovich
2021 A conf
Comparing Apples and Oranges: Fairness and Diversity in Ranking (Invited Talk).
ICDT
Julia Stoyanovich
2021 — conf
Disaggregated Interventions to Reduce Inequality.
EAAMO
Lucius Bynum, Joshua R. Loftus, Julia Stoyanovich
2021 J jnl
Fairness as Equality of Opportunity: Normative Guidance from Political Philosophy.
CoRR
Falaah Arif Khan, Eleni Manis, Julia Stoyanovich
2021 J jnl
Fairness in Ranking: A Survey.
CoRR
Meike Zehlike, Ke Yang, Julia Stoyanovich
2021 J jnl
Impact Remediation: Optimal Interventions to Reduce Inequality.
CoRR
Lucius E. J. Bynum, Joshua R. Loftus, Julia Stoyanovich
2021 A conf
Lightweight Inspection of Data Preprocessing in Native Machine Learning Pipelines.
CIDR
Stefan Grafberger, Julia Stoyanovich, Sebastian Schelter
2021 — conf
MLINSPECT: A Data Distribution Debugger for Machine Learning Pipelines.
SIGMOD Conference
Stefan Grafberger, Shubha Guha, Julia Stoyanovich, Sebastian Schelter
2021 J jnl
Most Expected Winner: An Interpretation of Winners over Uncertain Voter Preferences.
CoRR
Haoyue Ping, Julia Stoyanovich
2021 — ed.
Proceedings of the Fifth Workshop on Data Management for End-To-End Machine Learning, In conjunction with the 2021 ACM SIGMOD/PODS Conference, DEEM@SIGMOD 2021, Virtual Event, China, 20 June, 2021
DEEM@SIGMOD
Matthias Boehm, Julia Stoyanovich, Steven Whang
2021 J jnl
Temporal Regular Path Queries: Syntax, Semantics, and Complexity.
CoRR
Marcelo Arenas, Pedro Bahamondes, Julia Stoyanovich
2021 — conf
The Many Facets of Data Equity.
EDBT/ICDT Workshops
H. V. Jagadish, Julia Stoyanovich, Bill Howe
2020 J jnl
Algorithmic Techniques for Necessary and Possible Winners.
CoRR
Vishal Chakraborty, Theo Delemazure, Benny Kimelfeld, Phokion G. Kolaitis, Kunal Relia, Julia Stoyanovich
2020 J jnl
Causal intersectionality for fair ranking.
CoRR
Ke Yang, Joshua R. Loftus, Julia Stoyanovich
2020 B conf
FairPrep: Promoting Data to a First-Class Citizen in Studies on Fairness-Enhancing Interventions.
EDBT
Sebastian Schelter, Yuxuan He, Jatin Khilnani, Julia Stoyanovich
2020 — ed.
Proceedings of the Fourth Workshop on Data Management for End-To-End Machine Learning, In conjunction with the 2020 ACM SIGMOD/PODS Conference, DEEM@SIGMOD 2020, Portland, OR, USA, June 14, 2020
DEEM@SIGMOD
Sebastian Schelter, Steven Whang, Julia Stoyanovich
2020 J jnl
Responsible Data Management.
Proc. VLDB Endow.
Julia Stoyanovich, Bill Howe, H. V. Jagadish
2020 J jnl
Supporting Hard Queries over Probabilistic Preferences.
CoRR
Haoyue Ping, Julia Stoyanovich, Benny Kimelfeld
2020 J jnl
Supporting Hard Queries over Probabilistic Preferences.
Proc. VLDB Endow.
Haoyue Ping, Julia Stoyanovich, Benny Kimelfeld
2020 J jnl
Taming Technical Bias in Machine Learning Pipelines.
IEEE Data Eng. Bull.
Sebastian Schelter, Julia Stoyanovich
2020 J jnl
The imperative of interpretable machines.
Nat. Mach. Intell.
Julia Stoyanovich, Jay J. Van Bavel, Tessa V. West
2020 B conf
Zooming Out on an Evolving Graph.
EDBT
Amir Aghasadeghi, Vera Zaychik Moffitt, Sebastian Schelter, Julia Stoyanovich
2019 A* conf
Balanced Ranking with Diversity Constraints.
IJCAI
Ke Yang, Vasilis Gkatzelis, Julia Stoyanovich
2019 J jnl
Balanced Ranking with Diversity Constraints.
CoRR
Ke Yang, Vasilis Gkatzelis, Julia Stoyanovich
2019 — conf
Designing Fair Ranking Schemes.
SIGMOD Conference
Abolfazl Asudeh, H. V. Jagadish, Julia Stoyanovich, Gautam Das
2019 J jnl
FairPrep: Promoting Data to a First-Class Citizen in Studies on Fairness-Enhancing Interventions.
CoRR
Sebastian Schelter, Yuxuan He, Jatin Khilnani, Julia Stoyanovich
2019 A conf
MithraLabel: Flexible Dataset Nutritional Labels for Responsible Data Science.
CIKM
Chenkai Sun, Abolfazl Asudeh, H. V. Jagadish, Bill Howe, Julia Stoyanovich
2019 — conf
MithraRanking: A System for Responsible Ranking Design.
SIGMOD Conference
Yifan Guan, Abolfazl Asudeh, Pranav Mayuram, H. V. Jagadish, Julia Stoyanovich, Gerome Miklau, Gautam Das
2019 J jnl
Nutritional Labels for Data and Models.
IEEE Data Eng. Bull.
Julia Stoyanovich, Bill Howe
2019 J jnl
Teaching Responsible Data Science: Charting New Pedagogical Territory.
CoRR
Julia Stoyanovich, Armanda Lewis
2019 — conf
The Responsibility Challenge for Data.
SIGMOD Conference
H. V. Jagadish, Francesco Bonchi, Tina Eliassi-Rad, Lise Getoor, Krishna P. Gummadi, Julia Stoyanovich
2019 J jnl
Towards Responsible Data-driven Decision Making in Score-Based Systems.
IEEE Data Eng. Bull.
Abolfazl Asudeh, H. V. Jagadish, Julia Stoyanovich
2019 — conf
TransFAT: Translating Fairness, Accountably and Transparency into Data Science Practice.
PIE@CAiSE
Julia Stoyanovich
2019 J jnl
Transparency, Fairness, Data Protection, Neutrality: Data Management Challenges in the Face of New Regulation.
CoRR
Serge Abiteboul, Julia Stoyanovich
2019 J jnl
Transparency, Fairness, Data Protection, Neutrality: Data Management Challenges in the Face of New Regulation.
ACM J. Data Inf. Qual.
Serge Abiteboul, Julia Stoyanovich
2018 — conf
A Nutritional Label for Rankings.
SIGMOD Conference
Ke Yang, Julia Stoyanovich, Abolfazl Asudeh, Bill Howe, H. V. Jagadish, Gerome Miklau
2018 J jnl
A Nutritional Label for Rankings.
CoRR
Ke Yang, Julia Stoyanovich, Abolfazl Asudeh, Bill Howe, H. V. Jagadish, Gerome Miklau
2018 — conf
A Query Engine for Probabilistic Preferences.
SIGMOD Conference
Uzi Cohen, Batya Kenig, Haoyue Ping, Benny Kimelfeld, Julia Stoyanovich
2018 A* conf
Computational Social Choice Meets Databases.
IJCAI
Benny Kimelfeld, Phokion G. Kolaitis, Julia Stoyanovich
2018 J jnl
Computational Social Choice Meets Databases.
CoRR
Benny Kimelfeld, Phokion G. Kolaitis, Julia Stoyanovich
2018 — conf
Generating Evolving Property Graphs with Attribute-Aware Preferential Attachment.
DBTest@SIGMOD
Amir Aghasadeghi, Julia Stoyanovich
2018 — conf
MobilityMirror: Bias-Adjusted Transportation Datasets.
BiDU@VLDB
Luke Rodriguez, Babak Salimi, Haoyue Ping, Julia Stoyanovich, Bill Howe
2018 J jnl
MobilityMirror: Bias-Adjusted Transportation Datasets.
CoRR
Luke Rodriguez, Babak Salimi, Haoyue Ping, Julia Stoyanovich, Bill Howe
2018 J jnl
On Obtaining Stable Rankings.
CoRR
Abolfazl Asudeh, H. V. Jagadish, Gerome Miklau, Julia Stoyanovich
2018 J jnl
On Obtaining Stable Rankings.
Proc. VLDB Endow.
Abolfazl Asudeh, H. V. Jagadish, Gerome Miklau, Julia Stoyanovich
2018 B conf
Online Set Selection with Fairness and Diversity Constraints.
EDBT
Julia Stoyanovich, Ke Yang, H. V. Jagadish
2018 J jnl
Panel: A Debate on Data and Algorithmic Ethics.
Proc. VLDB Endow.
Julia Stoyanovich, Bill Howe, H. V. Jagadish, Gerome Miklau
2018 A* conf
Probabilistic Inference Over Repeated Insertion Models.
AAAI
Batya Kenig, Lovro Ilijasic, Haoyue Ping, Benny Kimelfeld, Julia Stoyanovich
2018 J jnl
Research Directions for Principles of Data Management (Dagstuhl Perspectives Workshop 16151).
Dagstuhl Manifestos
Serge Abiteboul, Marcelo Arenas, Pablo Barceló, Meghyn Bienvenu, Diego Calvanese, Claire David, Richard Hull, Eyke Hüllermeier, Benny Kimelfeld, Leonid Libkin, Wim Martens, Tova Milo, Filip Murlak, Frank Neven, Magdalena Ortiz, Thomas Schwentick, Julia Stoyanovich, Jianwen Su, Dan Suciu, Victor Vianu, Ke Yi
2018 — conf
Special Session: A Technical Research Agenda in Data Ethics and Responsible Data Management.
SIGMOD Conference
Julia Stoyanovich, Bill Howe, H. V. Jagadish
2018 — conf
Zooming in on NYC Taxi Data with Portal.
BiDu-Posters@VLDB
Julia Stoyanovich, Matthew Gilbride, Vera Zaychik Moffitt
2017 — conf
A Database Framework for Probabilistic Preferences.
AMW
Batya Kenig, Benny Kimelfeld, Haoyue Ping, Julia Stoyanovich
2017 B conf
DataSynthesizer: Privacy-Preserving Synthetic Datasets.
SSDBM
Haoyue Ping, Julia Stoyanovich, Bill Howe
2017 J jnl
Designing Fair Ranking Schemes.
CoRR
Abolfazl Asudeh, H. V. Jagadish, Julia Stoyanovich, Gautam Das
2017 J jnl
Diversity in Big Data: A Review.
Big Data
Marina Drosou, H. V. Jagadish, Evaggelia Pitoura, Julia Stoyanovich
2017 B conf
Fides: Towards a Platform for Responsible Data Science.
SSDBM
Julia Stoyanovich, Bill Howe, Serge Abiteboul, Gerome Miklau, Arnaud Sahuguet, Gerhard Weikum
2017 B conf
Measuring Fairness in Ranked Outputs.
SSDBM
Ke Yang, Julia Stoyanovich
2017 — ed.
Proceedings of the Workshops of the EDBT/ICDT 2017 Joint Conference (EDBT/ICDT 2017), Venice, Italy, March 21-24, 2017.
EDBT/ICDT Workshops
Yannis E. Ioannidis, Julia Stoyanovich, Giorgio Orsi
2017 A* conf
Querying Probabilistic Preferences in Databases.
PODS
Batya Kenig, Benny Kimelfeld, Haoyue Ping, Julia Stoyanovich
2017 J jnl
Research Directions for Principles of Data Management (Dagstuhl Perspectives Workshop 16151).
CoRR
Serge Abiteboul, Marcelo Arenas, Pablo Barceló, Meghyn Bienvenu, Diego Calvanese, Claire David, Richard Hull, Eyke Hüllermeier, Benny Kimelfeld, Leonid Libkin, Wim Martens, Tova Milo, Filip Murlak, Frank Neven, Magdalena Ortiz, Thomas Schwentick, Julia Stoyanovich, Jianwen Su, Dan Suciu, Victor Vianu, Ke Yi
2017 J jnl
Synthetic Data for Social Good.
CoRR
Bill Howe, Julia Stoyanovich, Haoyue Ping, Bernease Herman, Matt Gee
2017 — conf
Temporal graph algebra.
DBPL
Vera Zaychik Moffitt, Julia Stoyanovich
2017 B conf
Towards sequenced semantics for evolving graphs.
EDBT
Vera Zaychik Moffitt, Julia Stoyanovich
2017 J jnl
Zooming in on NYC taxi data with Portal.
CoRR
Julia Stoyanovich, Matthew Gilbride, Vera Zaychik Moffitt
2016 B conf
Data Responsibly: Fairness, Neutrality and Transparency in Data Analysis.
EDBT
Julia Stoyanovich, Serge Abiteboul, Gerome Miklau
2016 J jnl
Data, Responsibly (Dagstuhl Seminar 16291).
Dagstuhl Reports
Serge Abiteboul, Gerome Miklau, Julia Stoyanovich, Gerhard Weikum
2016 J jnl
Measuring Fairness in Ranked Outputs.
CoRR
Ke Yang, Julia Stoyanovich
2016 J jnl
Portal: A Query Language for Evolving Graphs.
CoRR
Vera Zaychik Moffitt, Julia Stoyanovich
2016 J jnl
Research Directions for Principles of Data Management (Abridged).
SIGMOD Rec.
Serge Abiteboul, Marcelo Arenas, Pablo Barceló, Meghyn Bienvenu, Diego Calvanese, Claire David, Richard Hull, Eyke Hüllermeier, Benny Kimelfeld, Leonid Libkin, Wim Martens, Tova Milo, Filip Murlak, Frank Neven, Magdalena Ortiz, Thomas Schwentick, Julia Stoyanovich, Jianwen Su, Dan Suciu, Victor Vianu, Ke Yi
2016 — conf
Towards a Distributed Infrastructure for Evolving Graph Analytics.
WWW (Companion Volume)
Vera Zaychik Moffitt, Julia Stoyanovich
2016 — conf
Workload-driven learning of mallows mixtures with pairwise preference data.
WebDB
Julia Stoyanovich, Lovro Ilijasic, Haoyue Ping
2015 — conf
Analyzing Crowd Rankings.
WebDB
Julia Stoyanovich, Marie Jacob, Xuemei Gong
2015 — conf
Collaborative Access Control in WebdamLog.
SIGMOD Conference
Vera Zaychik Moffitt, Julia Stoyanovich, Serge Abiteboul, Gerome Miklau
2015 — ed.
Proceedings of the 18th International Workshop on Web and Databases, Melbourne, VIC, Australia, May 31, 2015
WebDB
Julia Stoyanovich, Fabian M. Suchanek
2015 — conf
The elephant in the room: getting value from Big Data.
WebDB
Serge Abiteboul, Xin Luna Dong, Oren Etzioni, Divesh Srivastava, Gerhard Weikum, Julia Stoyanovich, Fabian M. Suchanek
2014 J jnl
A System for Management and Analysis of Preference Data.
Proc. VLDB Endow.
Marie Jacob, Benny Kimelfeld, Julia Stoyanovich
2013 J jnl
Introducing Access Control in Webdamlog.
CoRR
Serge Abiteboul, Émilien Antoine, Gerome Miklau, Julia Stoyanovich, Vera Zaychik Moffitt
2013 C conf
Learning Feature Weights from Positive Cases.
ICCBR
Sidath Gunawardena, Rosina O. Weber, Julia Stoyanovich
2013 B conf
Learning to explore scientific workflow repositories.
SSDBM
Julia Stoyanovich, Paramveer S. Dhillon, Susan B. Davidson, Brian Lyons
2013 J jnl
Rule-Based Application Development using Webdamlog
CoRR
Serge Abiteboul, Émilien Antoine, Gerome Miklau, Julia Stoyanovich, Jules Testard
2013 — conf
Rule-based application development using Webdamlog.
SIGMOD Conference
Serge Abiteboul, Émilien Antoine, Gerome Miklau, Julia Stoyanovich, Jules Testard
2013 J jnl
Search and Result Presentation in Scientific Workflow Repositories
CoRR
Susan B. Davidson, Xiaocheng Huang, Julia Stoyanovich, Xiaojie Yuan
2013 B conf
Search and result presentation in scientific workflow repositories.
SSDBM
Susan B. Davidson, Xiaocheng Huang, Julia Stoyanovich, Xiaojie Yuan
2013 J jnl
The Webdamlog System Managing Distributed Knowledge on the Web
CoRR
Serge Abiteboul, Émilien Antoine, Julia Stoyanovich
2013 A conf
Understanding Local Structure in Ranked Datasets.
CIDR
Julia Stoyanovich, Sihem Amer-Yahia, Susan B. Davidson, Marie Jacob, Tova Milo
2013 A conf
Understanding the Structure of Ranked Data.
CIDR
Julia Stoyanovich
2012 J jnl
Putting Lipstick on Pig: Enabling Database-style Workflow Provenance
CoRR
Yael Amsterdamer, Susan B. Davidson, Daniel Deutch, Tova Milo, Julia Stoyanovich, Val Tannen
2012 A* conf
Viewing the Web as a Distributed Knowledge Base.
ICDE
Serge Abiteboul, Émilien Antoine, Julia Stoyanovich
2011 J jnl
AnnotCompute: annotation-based exploration and meta-analysis of genomics experiments.
Database J. Biol. Databases Curation
Jie Zheng, Julia Stoyanovich, Elisabetta Manduchi, Junmin Liu, Christian J. Stoeckert Jr.
2011 A* conf
Deriving probabilistic databases with inference ensembles.
ICDE
Julia Stoyanovich, Susan B. Davidson, Tova Milo, Val Tannen
2011 B ed.
EDBT 2011, 14th International Conference on Extending Database Technology, Uppsala, Sweden, March 21-24, 2011, Proceedings
EDBT
Anastasia Ailamaki, Sihem Amer-Yahia, Jignesh M. Patel, Tore Risch, Pierre Senellart, Julia Stoyanovich
2011 A conf
Enabling Privacy in Provenance-Aware Workflow Systems.
CIDR
Susan B. Davidson, Sanjeev Khanna, Val Tannen, Sudeepa Roy, Yi Chen, Tova Milo, Julia Stoyanovich
2011 — conf
Keyword Search in Workflow Repositories with Access Control.
AMW
Susan B. Davidson, Soohyun Lee, Julia Stoyanovich
2011 B conf
Making interval-based clustering rank-aware.
EDBT
Julia Stoyanovich, Sihem Amer-Yahia, Tova Milo
2011 A conf
On provenance and privacy.
ICDT
Susan B. Davidson, Sanjeev Khanna, Sudeepa Roy, Julia Stoyanovich, Val Tannen, Yi Chen
2011 J jnl
Putting Lipstick on Pig: Enabling Database-style Workflow Provenance.
Proc. VLDB Endow.
Yael Amsterdamer, Susan B. Davidson, Daniel Deutch, Tova Milo, Julia Stoyanovich, Val Tannen
2011 — conf
SkylineSearch: semantic ranking and result visualization for pubmed.
SIGMOD Conference
Julia Stoyanovich, Mayur Lodha, William Mee, Kenneth A. Ross
2010 A* conf
Semantic ranking and result visualization for life sciences publications.
ICDE
Julia Stoyanovich, William Mee, Kenneth A. Ross
2009 A conf
Rank-aware clustering of structured datasets.
CIKM
Julia Stoyanovich, Sihem Amer-Yahia
2008 J jnl
Efficient network aware search in collaborative tagging sites.
Proc. VLDB Endow.
Sihem Amer-Yahia, Michael Benedikt, Laks V. S. Lakshmanan, Julia Stoyanovich
2008 — conf
From del.icio.us to x.qui.site: recommendations in social tagging sites.
SIGMOD Conference
Sihem Amer-Yahia, Alban Galland, Julia Stoyanovich, Cong Yu
2008 — conf
Leveraging Tagging to Model User Interests in del.icio.us.
AAAI Spring Symposium: Social Information Processing
Julia Stoyanovich, Sihem Amer-Yahia, Cameron Marlow, Cong Yu
2008 J jnl
MutaGeneSys: estimating individual disease susceptibility based on genome-wide SNP array data.
Bioinform.
Julia Stoyanovich, Itsik Pe'er
2008 B conf
Schema polynomials and applications.
EDBT
Kenneth A. Ross, Julia Stoyanovich
2007 — conf
EntityAuthority: Semantically Enriched Graph-Based Authority Propagation.
WebDB
Julia Stoyanovich, Srikanta J. Bedathur, Klaus Berberich, Gerhard Weikum
2005 A* conf
A Faceted Query Engine Applied to Archaeology.
VLDB
Kenneth A. Ross, Angel Janevski, Julia Stoyanovich
2004 A* conf
Symmetric Relations and Cardinality-Bounded Multisets in Database Systems.
VLDB
Kenneth A. Ross, Julia Stoyanovich