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Name: |
Professor N Fenton |
Organisation: |
Queen Mary University of London |
Department: |
Sch of Electronic Eng & Computer Science |
Current EPSRC-Supported Research
Topics: |
Artificial Intelligence
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Human-Computer Interactions
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Information & Knowledge Mgmt
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Mobile Computing
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Statistics & Appl. Probability
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Current EPSRC Support |
EP/P009964/1 | PAMBAYESIAN: PAtient Managed decision-support using Bayesian networks | (P) |
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Previous EPSRC Support |
EP/G001987/1 | DIADEM: Data Information and Analysis for clinical DEcision Making | (P) |
EP/E033954/1 | DyFusion - Towards a Novel Universal tool for Modelling and Reasoning under Uncertainty | (C) |
EP/C005406/1 | eXdecide: Quantified Risk Assessment and Decision Support for Agile Software Projects | (P) |
GR/R24197/01 | SCORE (Sensing Changes In Operational Risk Exposure) | (C) |
GR/N39234/01 | SIMP: SYSTEMS INTEGRATION FOR MAJOR PROJECTS | (P) |
GR/N00258/01 | SCULLY SCALLING UP BAYESIAN NETS FOR SOFTWARE RISK ASSESSMENT | (P) |
GR/L06683/02 | IMPRESS: IMPROVING THE SOFTWARE PROCESS USING BAYESIAN NETS | (C) |
GR/M02552/02 | SOFTWARE ENGINEERING AND INFORMATION SYSTEMS NETWORK FOR IMPROVED BUSINESS PROCESSES | (C) |
GR/M02552/01 | SOFTWARE ENGINEERING AND INFORMATION SYSTEMS NETWORK FOR IMPROVED BUSINESS PROCESSES | (C) |
GR/L57296/01 | PETERS: PRE-EXPLOITATIVE TOOLS FOR EVALUATING RELIABILITY OF SOFTWARE | (C) |
GR/L07673/01 | DISCS: DIVERSITY IN SAFETY CRITICAL SOFTWARE | (C) |
GR/L06683/01 | IMPRESS: IMPROVING THE SOFTWARE PROCESS USING BAYESIAN NETS | (C) |
GR/H89944/01 | DATUM: DEPENDABILITY ASSESSMENT OF SCS THROUGH THE UNIFICATION OF MEASURABLE EVIDENCE - IED4/1/9314 | (C) |
GR/F98550/01 | STANDARDS & METHODS ASSESSMENT USING RIGOROUS TECHNIQUES IN INDUSTRIAL ENVIRONMENTS(IED4/1/2160) | (P) |
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Key: (P)=Principal Investigator, (C)=Co-Investigator, (R)=Researcher Co-Investigator
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