Laura Moss - RankMe

25 papers B 10Misc 1Journal 4Unranked 8

Year	Rank	Type	Title / Venue / Authors
2021	B	`conf`	CHART-ADAPT: Enabling actionable analytics at the critical care unit bedside. CBMS Laura Moss, Martin Shaw, Ian Piper, John Kinsella, Christopher Hawthorne
2020	—	`conf`	Persuasive Argument Schemes for Clinical Conflict Resolution: An Empirical Study. CMNA@COMMA Laura Moss, Derek H. Sleeman, John Kinsella
2020	—	`conf`	Resolving Differences of Opinion between Medical Experts: A Case Study with the IS-DELPHI System. HEALTHINF Derek H. Sleeman, Kiril Kostadinov, Laura Moss, Malcolm Sim
2019	—	`ed.`	Joint Proceedings of the 6th International Workshop on Dataset PROFlLing and Search & the 1st Workshop on Semantic Explainability co-located with the 18th International Semantic Web Conference (ISWC 2019), Auckland, New Zealand, October 27, 2019. PROFILES/SEMEX@ISWC Elena Demidova, Stefan Dietze, John G. Breslin, Simon Gottschalk, Philipp Cimiano, Basil Ell, Agnieszka Lawrynowicz, Laura Moss, Axel-Cyrille Ngonga Ngomo
2018	—	`conf`	Automated Measurement of Adherence to Traumatic Brain Injury (TBI) Guidelines using Neurological ICU Data. HEALTHINF Anthony Stell, Ian Piper, Laura Moss
2017	—	`conf`	Sharing of Big Data in Healthcare: Public Opinion, Trust, and Privacy Considerations for Health Informatics Researchers. HEALTHINF Laura Moss, Martin Shaw, Ian Piper, Christopher Hawthorne, John Kinsella
2016	Misc	`conf`	Apache Spark for the Analysis of High Frequency Neurointensive Care Unit Data: Preliminary Comparison of Scala vs. R. AMIA Laura Moss, Martin Shaw, Ian Piper, Christopher Hawthorne, John Kinsella
2015	—	`conf`	Data quality assessment and anomaly detection via map/reduce and linked data: A case study in the medical domain. IEEE BigData Stephen Bonner, Andrew Stephen McGough, Ibad Kureshi, John Brennan, Georgios Theodoropoulos, Laura Moss, David Corsar, Grigoris Antoniou
2013	J	`jnl`	Argumentation-logic for creating and explaining medical hypotheses. Artif. Intell. Medicine María Adela Grando, Laura Moss, Derek H. Sleeman, John Kinsella
2013	B	`conf`	Trusting Intensive Care Unit (ICU) Medical Data: A Semantic Web Approach. AIME Laura Moss, David Corsar, Ian Piper, John Kinsella
2012	B	`conf`	A linked data approach to assessing medical data. CBMS Laura Moss, David Corsar, Ian Piper
2012	J	`jnl`	Detecting and resolving inconsistencies between domain experts' different perspectives on (classification) tasks. Artif. Intell. Medicine Derek H. Sleeman, Laura Moss, Andy Aiken, Martin Hughes, John Kinsella, Malcolm Sim
2012	B	`conf`	Knowledge-driven inference of Medical Interventions. CBMS Anthony Stell, Laura Moss, Ian Piper
2011	B	`conf`	Argumentation-Logic for Explaining Anomalous Patient Responses to Treatments. AIME María Adela Grando, Laura Moss, David Glasspool, Derek H. Sleeman, Malcolm Sim, Charlotte J. Gilhooly, John Kinsella
2011	B	`conf`	Predicting adverse events: detecting myocardial damage in intensive care unit (ICU) patients. K-CAP Derek H. Sleeman, Laura Moss, Malcolm Sim, John Kinsella
2010	—	`ch.`	A System to Detect Inconsistencies between a Domain Expert's Different Perspectives on (Classification) Tasks. Advances in Machine Learning II Derek H. Sleeman, Andy Aiken, Laura Moss, John Kinsella, Malcolm Sim
2010	J	`jnl`	A comparison between clinical decisions made about lung cancer patients and those inherent in the corresponding Scottish Intercollegiate Guidelines Network (SIGN) guideline. Health Informatics J. Derek H. Sleeman, Laura Moss, Elias Gyftodimos, Marianne Nicolson, Graham Devereux
2010	J	`jnl`	Ontology-driven hypothesis generation to explain anomalous patient responses to treatment. Knowl. Based Syst. Laura Moss, Derek H. Sleeman, Malcolm Sim, Malcolm Booth, Malcolm Daniel, Lyndsay Donaldson, Charlotte J. Gilhooly, Martin Hughes, John Kinsella
2010	B	`conf`	Reasoning by Analogy in the Generation of Domain Acceptable Ontology Refinements. EKAW Laura Moss, Derek H. Sleeman, Malcolm Sim
2009	B	`conf`	Explaining Anomalous Responses to Treatment in the Intensive Care Unit. AIME Laura Moss, Derek H. Sleeman, Malcolm Booth, Malcolm Daniel, Lyndsay Donaldson, Charlotte J. Gilhooly, Martin Hughes, Malcolm Sim, John Kinsella
2009	—	`conf`	Ontology-Driven Hypothesis Generation to Explain Anomalous Patient Responses to Treatment. SGAI Conf. Laura Moss, Derek H. Sleeman, Malcolm Sim, Malcolm Booth, Malcolm Daniel, Lyndsay Donaldson, Charlotte J. Gilhooly, Martin Hughes, John Kinsella
2009	—	`conf`	Supporting the Development of Medical Ontologies. FOMI David Corsar, Laura Moss, Derek H. Sleeman, Malcolm Sim
2008	B	`conf`	ACHE: An Architecture for Clinical Hypothesis Examination. CBMS Laura Moss, Derek H. Sleeman, John Kinsella, Malcolm Sim
2007	B	`conf`	An Intelligent Aide for Interpreting a Patient's Dialysis Data Set. AIME Derek H. Sleeman, Nick Fluck, Elias Gyftodimos, Laura Moss, Gordon Christie
2007	—	`conf`	Analysing PET scans data for predicting response to chemotherapy in breast cancer patients. SGAI Conf. (Applications) Elias Gyftodimos, Laura Moss, Derek H. Sleeman, Andrew Welch