Adriane Chapman

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 44

Top Topics

Graph Based Induction

Top Venues

WWW (Companion Volume)

Proc. VLDB Endow.

Publications

Laura Carmichael, Steve Taylor, Adriane Chapman, Michael J. Boniface
AI in Health and Social Care: A Methodology for Privacy Risk Modeling and Simulation. WWW (Companion Volume) (2024)
Débora B. Pina, Adriane Chapman, Liliane N. O. Kunstmann, Daniel de Oliveira, Marta Mattoso
DLProv: A Data-Centric Support for Deep Learning Workflow Analyses. DEEM@SIGMOD (2024)
Adriane Chapman, Luca Lauro, Paolo Missier, Riccardo Torlone
Supporting Better Insights of Data Science Pipelines with Fine-grained Provenance. ACM Trans. Database Syst. 49 (2) (2024)
Adriane Chapman, Chloe L. Harrison, Caroline Jones, James Thornton, Rose Worley, Jeremy C. Wyatt
Sociotechnical Considerations for Accessibility and Equity in AI for Healthcare. WWW (Companion Volume) (2024)
Mohamed Ragab, Yury Savateev, Helen Oliver, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, Ruben Taelman, George Roussos
Decentralized Search over Personal Online Datastores: Architecture and Performance Evaluation. ICWE (2024)
Mohamed Ragab, Yury Savateev, Helen Oliver, Reza Moosaei, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, George Roussos
A Demonstration of Decentralized Search Over Solid Personal Online Datastores. WWW (Companion Volume) (2024)
Mohamed Ragab, Yury Savateev, Helen Oliver, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, George Roussos
Unlocking the Potential of Health Data with Decentralised Search in Personal Health Datastores. WWW (Companion Volume) (2024)
Mohamed Ragab, Yury Savateev, Wenjie Wang, Reza Moosaei, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, Helen Oliver, George Roussos
DESERE: The 1st Workshop on Decentralised Search and Recommendation. CoRR (2024)
Mohamed Ragab, Yury Savateev, Wenjie Wang, Reza Moosaei, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, Helen Oliver, George Roussos
The 1st Workshop on Decentralised Search and Recommendation. WWW (Companion Volume) (2024)
Mohamed Ragab, Yury Savateev, Reza Moosaei, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, George Roussos
ESPRESSO: A Framework for Empowering Search on Decentralized Web. WISE (2023)
Débora B. Pina, Adriane Chapman, Daniel de Oliveira, Marta Mattoso
Deep Learning Provenance Data Integration: a Practical Approach. WWW (Companion Volume) (2023)
Amid Ayobi, Jacob Hughes, Christopher J. Duckworth, Jakub J. Dylag, Sam James, Paul Marshall, Matthew Guy, Anitha Kumaran, Adriane Chapman, Michael J. Boniface, Aisling Ann O'Kane
Computational Notebooks as Co-Design Tools: Engaging Young Adults Living with Diabetes, Family Carers, and Clinicians with Machine Learning Models. CHI (2023)
Adriane Chapman, Luca Lauro, Paolo Missier, Riccardo Torlone
Supporting Better Insights of Data Science Pipelines with Fine-grained Provenance. CoRR (2023)
Seokki Lee, Boris Glavic, Adriane Chapman, Bertram Ludäscher
Hybrid Query and Instance Explanations and Repairs. WWW (Companion Volume) (2023)
Jacqui Ayling, Adriane Chapman
Putting AI ethics to work: are the tools fit for purpose? AI Ethics 2 (3) (2022)
Adriane Chapman, Luca Lauro, Paolo Missier, Riccardo Torlone
DPDS: Assisting Data Science with Data Provenance. Proc. VLDB Endow. 15 (12) (2022)
Stuart E. Middleton, Emmanuel Letouzé, Ali Hossaini, Adriane Chapman
Trust, regulation, and human-in-the-loop AI: within the European region. Commun. ACM 65 (4) (2022)
Adriane Chapman, Philip Grylls, Pamela Ugwudike, David Gammack, Jacqui Ayling
A Data-driven analysis of the interplay between Criminological theory and predictive policing algorithms. FAccT (2022)
Yang Hu, Adriane Chapman, Guihua Wen, Wendy Hall
What Can Knowledge Bring to Machine Learning? - A Survey of Low-shot Learning for Structured Data. ACM Trans. Intell. Syst. Technol. 13 (3) (2022)
Daniel Deutch, Tanu Malik, Adriane Chapman
Theory and Practice of Provenance. SIGMOD Conference (2022)
Yang Hu, Guihua Wen, Adriane Chapman, Pei Yang, Mingnan Luo, Yingxue Xu, Dan Dai, Wendy Hall
Graph-Based Visual-Semantic Entanglement Network for Zero-Shot Image Recognition. IEEE Trans. Multim. 24 (2022)
Bernard Roper, Adriane Chapman, David Martin, Stefano Cavazzi
Mapping Trusted Paths to VGI. IPAW (2021)
James Cheney, Adriane Chapman, Joy Davidson, Alistair Forbes
Data provenance, curation and quality in metrology. CoRR (2021)
George Konstantinidis, Jet Holt, Adriane Chapman
Enabling Personal Consent in Databases. Proc. VLDB Endow. 15 (2) (2021)
Hoi Wen Leung, Adriane Chapman, Nawfal F. Fadhel
Identifying Food Fraud using Blockchain. IoTBDS (2021)
Adriane Chapman, Paolo Missier, Giulia Simonelli, Riccardo Torlone
Fine-grained Provenance for High-quality Data Science (Discussion Paper). SEBD (2021)
Yang Hu, Adriane Chapman, Guihua Wen, Wendy Hall
What Can Knowledge Bring to Machine Learning? - A Survey of Low-shot Learning for Structured Data. CoRR (2021)
Muhammad Aslam Jarwar, Adriane Chapman, Mark Elliot, Fatemeh Raji
Provenance, Anonymisation and Data Environments: a Unifying Construction. CoRR (2021)
Tom Blount, Adriane Chapman, Michael A. C. Johnson, Bertram Ludäscher
Observed vs. Possible Provenance (Research Track). TaPP (2021)
Adriane Chapman, Elena Simperl, Laura Koesten, George Konstantinidis, Luis-Daniel Ibáñez, Emilia Kacprzak, Paul Groth
Dataset search: a survey. VLDB J. 29 (1) (2020)
Kate Lyle, Anneke M. Lucassen, Lisa M. Ballard, Faranak Hardcastle, Mark J. Weal, Adriane Chapman, George Konstantinidis
The Secret Life of Immortal Data. WebSci (Companion) (2020)
George Konstantinidis, Adriane Chapman, Mark J. Weal, Ahmed Alzubaidi, Lisa M. Ballard, Anneke M. Lucassen
The Need for Machine-Processable Agreements in Health Data Management. Algorithms 13 (4) (2020)
Yang Hu, Guihua Wen, Adriane Chapman, Pei Yang, Mingnan Luo, Yingxue Xu, Dan Dai, Wendy Hall
Semantic Graph-enhanced Visual Network for Zero-shot Learning. CoRR (2020)
Adriane Chapman, Paolo Missier, Giulia Simonelli, Riccardo Torlone
Capturing and querying fine-grained provenance of preprocessing pipelines in data science. Proc. VLDB Endow. 14 (4) (2020)
Adriane Chapman, Elena Simperl, Laura Koesten, George Konstantinidis, Luis-Daniel Ibáñez-Gonzalez, Emilia Kacprzak, Paul Groth
Dataset search: a survey. CoRR (2019)
Qiong Bu, Elena Simperl, Adriane Chapman, Eddy Maddalena
Quality assessment in crowdsourced classification tasks. Int. J. Crowd Sci. 3 (3) (2019)
Heather S. Packer, Adriane Chapman, Leslie Carr
GitHub2PROV: Provenance for Supporting Software Project Management. TaPP (2019)
Belfrit Victor Batlajery, Mark J. Weal, Adriane Chapman, Luc Moreau
Belief Propagation Through Provenance Graphs. IPAW (2018)
Belfrit Victor Batlajery, Mark J. Weal, Adriane Chapman, Luc Moreau
prFood: Ontology Principles for Provenance and Risk in the Food Domain. ICSC (2018)
Michael A. C. Johnson, Luc Moreau, Adriane Chapman, Poshak Gandhi, Carlos Sáenz-Adán
Using the Provenance from Astronomical Workflows to Increase Processing Efficiency. IPAW (2018)
Bernard Roper, Adriane Chapman, David Martin, Jeremy Morley
A Graph Testing Framework for Provenance Network Analytics. IPAW (2018)
Adriane Chapman, James Cheney, Simon Miles
Guest Editorial: The Provenance of Online Data. ACM Trans. Internet Techn. 17 (4) (2017)
David Gammack, Adriane Chapman
Provenance Tipping Point. TaPP (2015)
M. David Allen, Adriane Chapman, Barbara T. Blaustein, Lisa Mak
What do we do now? Workflows for an unpredictable world. Future Gener. Comput. Syst. 42 (2015)
Arnon Rosenthal, Len Seligman, M. David Allen, Adriane Chapman, Hongwei Zhu
Fit for purpose: engineering principles for selecting an appropriate type of data exchange standard. Inf. Syst. E Bus. Manag. 12 (4) (2014)
G. Blake Coe, R. Christopher Doty, M. David Allen, Adriane Chapman
Provenance Capture Disparities Highlighted through Datasets. TAPP (2014)
M. David Allen, Adriane Chapman, Barbara T. Blaustein
Engineering Choices for Open World Provenance. IPAW (2014)
Arnon Rosenthal, Len Seligman, M. David Allen, Adriane Chapman
Fit for Purpose: Toward an Engineering Basis for Data Exchange Standards. IWEI (2013)
Adriane Chapman, M. David Allen, Barbara T. Blaustein
It's About the Data: Provenance as a Tool for Assessing Data Fitness. TaPP (2012)
M. David Allen, Adriane Chapman, Barbara T. Blaustein, Len Seligman
Getting It Together: Enabling Multi-organization Provenance Exchange. TaPP (2011)
Barbara T. Blaustein, Adriane Chapman, Len Seligman, M. David Allen, Arnon Rosenthal
Surrogate Parenthood: Protected and Informative Graphs CoRR (2011)
Adriane Chapman, Barbara T. Blaustein, Len Seligman, M. David Allen
PLUS: A provenance manager for integrated information. IRI (2011)
M. David Allen, Adriane Chapman, Len Seligman, Barbara T. Blaustein
Provenance for collaboration: Detecting suspicious behaviors and assessing trust in information. CollaborateCom (2011)
Barbara T. Blaustein, Adriane Chapman, Len Seligman, M. David Allen, Arnon Rosenthal
Surrogate Parenthood: Protected and Informative Graphs. Proc. VLDB Endow. 4 (8) (2011)
Adriane Chapman, H. V. Jagadish
Understanding provenance black boxes. Distributed Parallel Databases 27 (2) (2010)
M. David Allen, Adriane Chapman, Barbara T. Blaustein, Len Seligman
Capturing Provenance in the Wild. IPAW (2010)
Uri Braun, Margo I. Seltzer, Adriane Chapman, Barbara T. Blaustein, M. David Allen, Len Seligman
Towards Query Interoperability: PASSing PLUS. TaPP (2010)
Jing Zhang, Adriane Chapman, Kristen LeFevre
Do You Know Where Your Data's Been? - Tamper-Evident Database Provenance. Secure Data Management (2009)
Adriane Chapman, H. V. Jagadish
Why not? SIGMOD Conference (2009)
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
Michigan molecular interactions r2: from interacting proteins to pathways. Nucleic Acids Res. 37 (Database-Issue) (2009)
Arnon Rosenthal, Len Seligman, Adriane Chapman, Barbara T. Blaustein
Scalable Access Controls for Lineage. Workshop on the Theory and Practice of Provenance (2009)
Adriane Chapman, H. V. Jagadish, Prakash Ramanan
Efficient provenance storage. SIGMOD Conference (2008)
Adriane Chapman, H. V. Jagadish
Provenance and the Price of Identity. IPAW (2008)
Adriane Chapman, H. V. Jagadish
Issues in Building Practical Provenance Systems. IEEE Data Eng. Bull. 30 (4) (2007)
H. V. Jagadish, Adriane Chapman, Aaron Elkiss, Magesh Jayapandian, Yunyao Li, Arnab Nandi, Cong Yu
Making database systems usable. SIGMOD Conference (2007)
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
Michigan Molecular Interactions (MiMI): putting the jigsaw puzzle together. Nucleic Acids Res. 35 (Database-Issue) (2007)
Peter Buneman, Adriane Chapman, James Cheney
Provenance management in curated databases. SIGMOD Conference (2006)
Peter Buneman, Adriane Chapman, James Cheney, Stijn Vansummeren
A Provenance Model for Manually Curated Data. IPAW (2006)
Adriane Chapman, Cong Yu, H. V. Jagadish
Effective Integration of Protein Data through Better Data Modeling. OMICS 7 (1) (2003)
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
TIMBER: A Native System for Querying XML. SIGMOD Conference (2003)
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
TIMBER: A native XML database. VLDB J. 11 (4) (2002)