Prospecting for periods with LSST – low-mass X-ray binaries as a test case von Johnson, Michael A C, Gandhi, Poshak, Chapman, Adriane P, Moreau, Luc, Charles, Philip A, Clarkson, William I, Hill, Adam B

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Anthropocentrism and Environmental Wellbeing in AI Ethics Standards: A Scoping Review and Discussion von Rigley, Eryn, Chapman, Adriane, Evers, Christine, McNeill, Will

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ESPRESSO: A Framework to Empower Search on the Decentralized Web von Ragab, Mohamed, Savateev, Yury, Oliver, Helen, Tiropanis, Thanassis, Poulovassilis, Alexandra, Chapman, Adriane, Roussos, George

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Quality assessment in crowdsourced classification tasks von Bu, Qiong, Simperl, Elena, Chapman, Adriane, Maddalena, Eddy

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The Need for Machine-Processable Agreements in Health Data Management von Konstantinidis, George, Chapman, Adriane, Weal, Mark J., Alzubaidi, Ahmed, Ballard, Lisa M., Lucassen, Anneke M.

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Understanding social care need through primary care big data: a rapid scoping review von Simpson, Glenn, Mutindi Kaluvu, Lucy, Stokes, Jonathan, Roderick, Paul, Chapman, Adriane, Akyea, Ralph Kwame, Zaccardi, Francesco, Santer, Miriam, Farmer, Andrew, Dambha-Miller, Hajira

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Development and Validation of Population Clusters for Integrating Health and Social Care: Protocol for a Mixed Methods Study in Multiple Long-Term Conditions (Cluster-Artificial In... von Dambha-Miller, Hajira, Simpson, Glenn, Akyea, Ralph K, Hounkpatin, Hilda, Morrison, Leanne, Gibson, Jon, Stokes, Jonathan, Islam, Nazrul, Chapman, Adriane, Stuart, Beth, Zaccardi, Francesco, Zlatev, Zlatko, Jones, Karen, Roderick, Paul, Boniface, Michael, Santer, Miriam, Farmer, Andrew

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Enabling personal consent in databases von Konstantinidis, George, Holt, Jet, Chapman, Adriane

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Putting AI ethics to work: are the tools fit for purpose? von Ayling, Jacqui, Chapman, Adriane

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Capturing and querying fine-grained provenance of preprocessing pipelines in data science von Chapman, Adriane, Missier, Paolo, Simonelli, Giulia, Torlone, Riccardo

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Dataset search: a survey von Chapman, Adriane, Simperl, Elena, Koesten, Laura, Konstantinidis, George, Ibáñez, Luis-Daniel, Kacprzak, Emilia, Groth, Paul

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Supporting Better Insights of Data Science Pipelines with Fine-grained Provenance von Chapman, Adriane, Lauro, Luca, Missier, Paolo, Torlone, Riccardo

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DPDS: assisting data science with data provenance von Chapman, Adriane, Lauro, Luca, Missier, Paolo, Torlone, Riccardo

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What Can Knowledge Bring to Machine Learning?—A Survey of Low-shot Learning for Structured Data von Hu, Yang, Chapman, Adriane, Wen, Guihua, Hall, Dame Wendy

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Graph-Based Visual-Semantic Entanglement Network for Zero-Shot Image Recognition von Hu, Yang, Wen, Guihua, Chapman, Adriane, Yang, Pei, Luo, Mingnan, Xu, Yingxue, Dai, Dan, Hall, Wendy

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Explainable Machine Learning for Real-Time Hypoglycemia and Hyperglycemia Prediction and Personalized Control Recommendations von Duckworth, Christopher, Guy, Matthew J., Kumaran, Anitha, O’Kane, Aisling Ann, Ayobi, Amid, Chapman, Adriane, Marshall, Paul, Boniface, Michael

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Guest Editorial: The Provenance of Online Data

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ESPRESSO: A Framework to Empower Search on the Decentralized Web: ESPRESSO: A Framework to Empower von Ragab, Mohamed, Savateev, Yury, Oliver, Helen, Tiropanis, Thanassis, Poulovassilis, Alexandra, Chapman, Adriane, Roussos, George

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Toward a common standard for data and specimen provenance in life sciences von Wittner, Rudolf, Holub, Petr, Mascia, Cecilia, Frexia, Francesca, Müller, Heimo, Plass, Markus, Allocca, Clare, Betsou, Fay, Burdett, Tony, Cancio, Ibon, Chapman, Adriane, Chapman, Martin, Courtot, Mélanie, Curcin, Vasa, Eder, Johann, Elliot, Mark, Exter, Katrina, Goble, Carole, Golebiewski, Martin, Kisler, Bron, Kremer, Andreas, Leo, Simone, Lin‐Gibson, Sheng, Marsano, Anna, Mattavelli, Marco, Moore, Josh, Nakae, Hiroki, Perseil, Isabelle, Salman, Ayat, Sluka, James, Soiland‐Reyes, Stian, Strambio‐De‐Castillia, Caterina, Sussman, Michael, Swedlow, Jason R., Zatloukal, Kurt, Geiger, Jörg

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The Challenge of “Quick and Dirty” Information Quality von Chapman, Adriane P., Rosenthal, Arnon, Seligman, Len

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