Adriane Chapman

87 papers A* 2A 1B 2C 2Misc 1Journal 36Unranked 39
YearRankTypeTitle / Venue / Authors
2026 J jnl
Rethinking Information Retrieval in a Re-Decentralised Web: Exploring the Feasibility and Quality of Search Across Personal Online Datastores.
ACM Trans. Web
Mohammad Bahrani, Mohamed Ragab, Helen Oliver, Thanassis Tiropanis, Adriane Chapman, Alexandra Poulovassilis, George Roussos
2025 J jnl
DLProv: a suite of provenance services for deep learning workflow analyses.
PeerJ Comput. Sci.
Débora B. Pina, Liliane N. O. Kunstmann, Adriane Chapman, Daniel de Oliveira, Marta Mattoso
2025 A conf
ESPRESSO: Privacy-Preserving Keyword Search on Decentralized Data with Differential Visibility Constraints.
CIKM
Mohamed Ragab, Mohamed Bahrani, Helen Oliver, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, George Roussos
2025 J jnl
Efficient Query Repair for Aggregate Constraints.
CoRR
Shatha Algarni, Boris Glavic, Seokki Lee, Adriane Chapman
2025 J jnl
Efficient Query Repair for Aggregate Constraints.
Proc. VLDB Endow.
Shatha Algarni, Boris Glavic, Seokki Lee, Adriane Chapman
2025 J jnl
Improving fairness in machine learning-enabled affirmative actions: a case study in outreach activities in healthcare.
J. Oper. Res. Soc.
David Barrera Ferro, Sally C. Brailsford, Adriane Chapman
2025 J jnl
It's Not You, It's Clipping: A Soft Trust-Region via Probability Smoothing for LLM RL.
CoRR
Madeleine Dwyer, Adam Sobey, Adriane Chapman
2025 A* conf
ME: Modelling Ethical Values for Value Alignment.
AAAI
Eryn Rigley, Adriane Chapman, Christine Evers, William McNeill
2025 — conf
Using LLMs to infer provenance information.
Provenance Week@SIGMOD
Abdullah Hamed Almuntashiri, Luis-Daniel Ibáñez, Adriane Chapman
2024 — conf
A Demonstration of Decentralized Search Over Solid Personal Online Datastores.
WWW (Companion Volume)
Mohamed Ragab, Yury Savateev, Helen Oliver, Reza Moosaei, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, George Roussos
2024 — conf
AI in Health and Social Care: A Methodology for Privacy Risk Modeling and Simulation.
WWW (Companion Volume)
Laura Carmichael, Steve Taylor, Adriane Chapman, Michael J. Boniface
2024 J jnl
DESERE: The 1st Workshop on Decentralised Search and Recommendation.
CoRR
Mohamed Ragab, Yury Savateev, Wenjie Wang, Reza Moosaei, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, Helen Oliver, George Roussos
2024 — conf
DLProv: A Data-Centric Support for Deep Learning Workflow Analyses.
DEEM@SIGMOD
Débora B. Pina, Adriane Chapman, Liliane N. O. Kunstmann, Daniel de Oliveira, Marta Mattoso
2024 B conf
Decentralized Search over Personal Online Datastores: Architecture and Performance Evaluation.
ICWE
Mohamed Ragab, Yury Savateev, Helen Oliver, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, Ruben Taelman, George Roussos
2024 J jnl
ESPRESSO: A Framework to Empower Search on the Decentralized Web.
Data Sci. Eng.
Mohamed Ragab, Yury Savateev, Helen Oliver, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, George Roussos
2024 — conf
LLMs for the Post-Hoc Creation of Provenance.
EuroS&P Workshops
Abdullah Hamed Almuntashiri, Luis-Daniel Ibáñez, Adriane Chapman
2024 — conf
Sociotechnical Considerations for Accessibility and Equity in AI for Healthcare.
WWW (Companion Volume)
Adriane Chapman, Chloe L. Harrison, Caroline Jones, James Thornton, Rose Worley, Jeremy C. Wyatt
2024 — conf
Solving Why Not Questions for Aggregate Constraints Through Query Repair.
EuroS&P Workshops
Shatha Algarni, Boris Glavic, Seokki Lee, Adriane Chapman
2024 J jnl
Supporting Better Insights of Data Science Pipelines with Fine-grained Provenance.
ACM Trans. Database Syst.
Adriane Chapman, Luca Lauro, Paolo Missier, Riccardo Torlone
2024 — conf
The 1st Workshop on Decentralised Search and Recommendation.
WWW (Companion Volume)
Mohamed Ragab, Yury Savateev, Wenjie Wang, Reza Moosaei, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, Helen Oliver, George Roussos
2024 — conf
Unlocking the Potential of Health Data with Decentralised Search in Personal Health Datastores.
WWW (Companion Volume)
Mohamed Ragab, Yury Savateev, Helen Oliver, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, George Roussos
2023 A* conf
Computational Notebooks as Co-Design Tools: Engaging Young Adults Living with Diabetes, Family Carers, and Clinicians with Machine Learning Models.
CHI
Amid Ayobi, Jacob Hughes, Christopher J. Duckworth, Jakub J. Dylag, Sam Gordon James, Paul Marshall, Matthew Guy, Anitha Kumaran, Adriane Chapman, Michael J. Boniface, Aisling Ann O'Kane
2023 — conf
Deep Learning Provenance Data Integration: a Practical Approach.
WWW (Companion Volume)
Débora B. Pina, Adriane Chapman, Daniel de Oliveira, Marta Mattoso
2023 B conf
ESPRESSO: A Framework for Empowering Search on Decentralized Web.
WISE
Mohamed Ragab, Yury Savateev, Reza Moosaei, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, George Roussos
2023 — conf
Hybrid Query and Instance Explanations and Repairs.
WWW (Companion Volume)
Seokki Lee, Boris Glavic, Adriane Chapman, Bertram Ludäscher
2023 J jnl
Supporting Better Insights of Data Science Pipelines with Fine-grained Provenance.
CoRR
Adriane Chapman, Luca Lauro, Paolo Missier, Riccardo Torlone
2022 — conf
A Data-driven analysis of the interplay between Criminological theory and predictive policing algorithms.
FAccT
Adriane Chapman, Philip Grylls, Pamela Ugwudike, David Gammack, Jacqui Ayling
2022 J jnl
DPDS: Assisting Data Science with Data Provenance.
Proc. VLDB Endow.
Adriane Chapman, Luca Lauro, Paolo Missier, Riccardo Torlone
2022 J jnl
Graph-Based Visual-Semantic Entanglement Network for Zero-Shot Image Recognition.
IEEE Trans. Multim.
Yang Hu, Guihua Wen, Adriane Chapman, Pei Yang, Mingnan Luo, Yingxue Xu, Dan Dai, Wendy Hall
2022 — ed.
Proceedings of the 14th International Workshop on the Theory and Practice of Provenance, TaPP 2022, Philadelphia, Pennsylvania, 17 June 2022
TaPP
Adriane Chapman, Daniel Deutch, Tanu Malik
2022 J jnl
Putting AI ethics to work: are the tools fit for purpose?
AI Ethics
Jacqui Ayling, Adriane Chapman
2022 — conf
Theory and Practice of Provenance.
SIGMOD Conference
Daniel Deutch, Tanu Malik, Adriane Chapman
2022 J jnl
Trust, regulation, and human-in-the-loop AI: within the European region.
Commun. ACM
Stuart E. Middleton, Emmanuel Letouzé, Ali Hossaini, Adriane Chapman
2022 J jnl
What Can Knowledge Bring to Machine Learning? - A Survey of Low-shot Learning for Structured Data.
ACM Trans. Intell. Syst. Technol.
Yang Hu, Adriane Chapman, Guihua Wen, Wendy Hall
2021 J jnl
Data provenance, curation and quality in metrology.
CoRR
James Cheney, Adriane Chapman, Joy Davidson, Alistair Forbes
2021 J jnl
Enabling Personal Consent in Databases.
Proc. VLDB Endow.
George Konstantinidis, Jet Holt, Adriane Chapman
2021 — conf
Fine-grained Provenance for High-quality Data Science (Discussion Paper).
SEBD
Adriane Chapman, Paolo Missier, Giulia Simonelli, Riccardo Torlone
2021 C conf
Identifying Food Fraud using Blockchain.
IoTBDS
Hoi Wen Leung, Adriane Chapman, Nawfal F. Fadhel
2021 — conf
Mapping Trusted Paths to VGI.
IPAW
Bernard Roper, Adriane Chapman, David J. Martin, Stefano Cavazzi
2021 — conf
Observed vs. Possible Provenance (Research Track).
TaPP
Tom Blount, Adriane Chapman, Michael A. C. Johnson, Bertram Ludäscher
2021 J jnl
Provenance, Anonymisation and Data Environments: a Unifying Construction.
CoRR
Muhammad Aslam Jarwar, Adriane Chapman, Mark Elliot, Fatemeh Raji
2021 J jnl
What Can Knowledge Bring to Machine Learning? - A Survey of Low-shot Learning for Structured Data.
CoRR
Yang Hu, Adriane Chapman, Guihua Wen, Wendy Hall
2020 J jnl
Capturing and querying fine-grained provenance of preprocessing pipelines in data science.
Proc. VLDB Endow.
Adriane Chapman, Paolo Missier, Giulia Simonelli, Riccardo Torlone
2020 J jnl
Dataset search: a survey.
VLDB J.
Adriane Chapman, Elena Simperl, Laura Koesten, George Konstantinidis, Luis-Daniel Ibáñez, Emilia Kacprzak, Paul Groth
2020 J jnl
Semantic Graph-enhanced Visual Network for Zero-shot Learning.
CoRR
Yang Hu, Guihua Wen, Adriane Chapman, Pei Yang, Mingnan Luo, Yingxue Xu, Dan Dai, Wendy Hall
2020 J jnl
The Need for Machine-Processable Agreements in Health Data Management.
Algorithms
George Konstantinidis, Adriane Chapman, Mark J. Weal, Ahmed Alzubaidi, Lisa M. Ballard, Anneke M. Lucassen
2020 — conf
The Secret Life of Immortal Data.
WebSci (Companion)
Kate Lyle, Anneke M. Lucassen, Lisa M. Ballard, Faranak Hardcastle, Mark J. Weal, Adriane Chapman, George Konstantinidis
2019 J jnl
Dataset search: a survey.
CoRR
Adriane Chapman, Elena Simperl, Laura Koesten, George Konstantinidis, Luis-Daniel Ibáñez-Gonzalez, Emilia Kacprzak, Paul Groth
2019 — conf
GitHub2PROV: Provenance for Supporting Software Project Management.
TaPP
Heather S. Packer, Adriane Chapman, Leslie Carr
2019 J jnl
Quality assessment in crowdsourced classification tasks.
Int. J. Crowd Sci.
Qiong Bu, Elena Simperl, Adriane Chapman, Eddy Maddalena
2018 — conf
A Graph Testing Framework for Provenance Network Analytics.
IPAW
Bernard Roper, Adriane Chapman, David J. Martin, Jeremy Morley
2018 — conf
Belief Propagation Through Provenance Graphs.
IPAW
Belfrit Victor Batlajery, Mark J. Weal, Adriane Chapman, Luc Moreau
2018 — ch.
Provenance Storage.
Encyclopedia of Database Systems (2nd ed.)
Thomas Heinis, Adriane Chapman
2018 — conf
Using the Provenance from Astronomical Workflows to Increase Processing Efficiency.
IPAW
Michael A. C. Johnson, Luc Moreau, Adriane Chapman, Poshak Gandhi, Carlos Sáenz-Adán
2018 — conf
prFood: Ontology Principles for Provenance and Risk in the Food Domain.
ICSC
Belfrit Victor Batlajery, Mark J. Weal, Adriane Chapman, Luc Moreau
2017 J jnl
Guest Editorial: The Provenance of Online Data.
ACM Trans. Internet Techn.
Adriane Chapman, James Cheney, Simon Miles
2015 — conf
Provenance Tipping Point.
TaPP
David Gammack, Adriane Chapman
2015 J jnl
What do we do now? Workflows for an unpredictable world.
Future Gener. Comput. Syst.
M. David Allen, Adriane Chapman, Barbara T. Blaustein, Lisa Mak
2014 — ed.
6th Workshop on the Theory and Practice of Provenance, TaPP'14, Cologne, Germany, June 12-13, 2014
TaPP
Adriane Chapman, Bertram Ludäscher, Andreas Schreiber
2014 — conf
Engineering Choices for Open World Provenance.
IPAW
M. David Allen, Adriane Chapman, Barbara T. Blaustein
2014 J jnl
Fit for purpose: engineering principles for selecting an appropriate type of data exchange standard.
Inf. Syst. E Bus. Manag.
Arnon Rosenthal, Len Seligman, M. David Allen, Adriane Chapman, Hongwei Zhu
2014 — conf
Provenance Capture Disparities Highlighted through Datasets.
TAPP
G. Blake Coe, R. Christopher Doty, M. David Allen, Adriane Chapman
2013 — conf
Fit for Purpose: Toward an Engineering Basis for Data Exchange Standards.
IWEI
Arnon Rosenthal, Len Seligman, M. David Allen, Adriane Chapman
2012 — conf
It's About the Data: Provenance as a Tool for Assessing Data Fitness.
TaPP
Adriane Chapman, M. David Allen, Barbara T. Blaustein
2011 — conf
Getting It Together: Enabling Multi-organization Provenance Exchange.
TaPP
M. David Allen, Adriane Chapman, Barbara T. Blaustein, Len Seligman
2011 Misc conf
PLUS: A provenance manager for integrated information.
IRI
Adriane Chapman, Barbara T. Blaustein, Len Seligman, M. David Allen
2011 C conf
Provenance for collaboration: Detecting suspicious behaviors and assessing trust in information.
CollaborateCom
M. David Allen, Adriane Chapman, Len Seligman, Barbara T. Blaustein
2011 J jnl
Surrogate Parenthood: Protected and Informative Graphs
CoRR
Barbara T. Blaustein, Adriane Chapman, Len Seligman, M. David Allen, Arnon Rosenthal
2011 J jnl
Surrogate Parenthood: Protected and Informative Graphs.
Proc. VLDB Endow.
Barbara T. Blaustein, Adriane Chapman, Len Seligman, M. David Allen, Arnon Rosenthal
2010 — conf
Capturing Provenance in the Wild.
IPAW
M. David Allen, Adriane Chapman, Barbara T. Blaustein, Len Seligman
2010 — conf
Towards Query Interoperability: PASSing PLUS.
TaPP
Uri Braun, Margo I. Seltzer, Adriane Chapman, Barbara T. Blaustein, M. David Allen, Len Seligman
2010 J jnl
Understanding provenance black boxes.
Distributed Parallel Databases
Adriane Chapman, H. V. Jagadish
2009 — conf
Do You Know Where Your Data's Been? - Tamper-Evident Database Provenance.
Secure Data Management
Jing Zhang, Adriane Chapman, Kristen LeFevre
2009 J jnl
Michigan molecular interactions r2: from interacting proteins to pathways.
Nucleic Acids Res.
V. Glenn Tarcea, Terry E. Weymouth, Alexander S. Ade, Aaron V. Bookvich, Jing Gao, Vasudeva Mahavisno, Zach Wright, Adriane Chapman, Magesh Jayapandian, Arzucan Özgür, Yuanyuan Tian, James D. Cavalcoli, Barbara Mirel, Jignesh M. Patel, Dragomir R. Radev, Brian D. Athey, David J. States, H. V. Jagadish
2009 — conf
Scalable Access Controls for Lineage.
Workshop on the Theory and Practice of Provenance
Arnon Rosenthal, Len Seligman, Adriane Chapman, Barbara T. Blaustein
2009 — conf
Why not?
SIGMOD Conference
Adriane Chapman, H. V. Jagadish
2008 — conf
Efficient provenance storage.
SIGMOD Conference
Adriane Chapman, H. V. Jagadish, Prakash Ramanan
2008 — —
Incorporating Provenance in Database Systems.
Adriane Chapman
2008 — conf
Provenance and the Price of Identity.
IPAW
Adriane Chapman, H. V. Jagadish
2007 J jnl
Issues in Building Practical Provenance Systems.
IEEE Data Eng. Bull.
Adriane Chapman, H. V. Jagadish
2007 — conf
Making database systems usable.
SIGMOD Conference
H. V. Jagadish, Adriane Chapman, Aaron Elkiss, Magesh Jayapandian, Yunyao Li, Arnab Nandi, Cong Yu
2007 J jnl
Michigan Molecular Interactions (MiMI): putting the jigsaw puzzle together.
Nucleic Acids Res.
Magesh Jayapandian, Adriane Chapman, V. Glenn Tarcea, Cong Yu, Aaron Elkiss, Angela Ianni, Bin Liu, Arnab Nandi, Carlos Santos, Philip C. Andrews, Brian D. Athey, David J. States, H. V. Jagadish
2006 — conf
A Provenance Model for Manually Curated Data.
IPAW
Peter Buneman, Adriane Chapman, James Cheney, Stijn Vansummeren
2006 — conf
Provenance management in curated databases.
SIGMOD Conference
Peter Buneman, Adriane Chapman, James Cheney
2003 J jnl
Effective Integration of Protein Data through Better Data Modeling.
OMICS
Adriane Chapman, Cong Yu, H. V. Jagadish
2003 — conf
TIMBER: A Native System for Querying XML.
SIGMOD Conference
Stelios Paparizos, Shurug Al-Khalifa, Adriane Chapman, H. V. Jagadish, Laks V. S. Lakshmanan, Andrew Nierman, Jignesh M. Patel, Divesh Srivastava, Nuwee Wiwatwattana, Yuqing Wu, Cong Yu
2002 J jnl
TIMBER: A native XML database.
VLDB J.
H. V. Jagadish, Shurug Al-Khalifa, Adriane Chapman, Laks V. S. Lakshmanan, Andrew Nierman, Stelios Paparizos, Jignesh M. Patel, Divesh Srivastava, Nuwee Wiwatwattana, Yuqing Wu, Cong Yu