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Researcher
Benoit DEPAIRE
- Keywords:Economics and applied economics
- Disciplines:Data mining, Machine learning and decision making, Artificial intelligence, Business information management, Econometric and statistical methods and methodology
Affiliations
- Expertise Centre for Digital Media (Research Center)
Member
From1 Jan 2024 → Today - Quantitative Methods (Department)
Member
From1 Oct 2009 → Today - Business Informatics (Research group)
Member
From1 Oct 2009 → Today - Faculty of Business Economics (Faculty)
Member
From16 Sep 2003 → Today - Transportation Research Institute (Research Center)
Member
From16 Sep 2003 → 15 Sep 2011 - Management (Division)
Member
From16 Sep 2003 → 30 Sep 2009 - Data-analysis and Modelling (Research group)
Member
From16 Sep 2003 → 30 Sep 2009
Projects
1 - 10 of 27
- IOF mandate Faculty of Business Economics (BEW) 2024-2028From1 Jan 2024 → TodayFunding: IOF - mandates
- Semi-automatically anomaly identification: the way forward to assurance over financial informationFrom1 Nov 2023 → TodayFunding: FWO Strategic Basic Research Grant
- Exploring expert behavior of process analystsFrom16 Sep 2023 → TodayFunding: BOF - doctoral mandates
- BILOG: Business Intelligence in the logisticsFrom1 Jan 2023 → TodayFunding: VLAIO - VIL - COOCK
- FWO WOG Process Mining - Expanding the horizonFrom1 Jan 2022 → TodayFunding: FWO scientific research network
- Semi-automatically anomaly identification: the way forward to assurance over financial informationFrom1 Nov 2021 → 31 Oct 2023Funding: FWO Strategic Basic Research Grant
- AI by Example, a knowledge platform for smart supply chain and inventory management in the food sectorFrom1 Mar 2021 → 28 Feb 2023Funding: VLAIO - TETRA Colleges AI
- Exploration of market potential of Crossmodal Congruency IndexFrom15 Jan 2021 → 14 Mar 2022Funding: IOF - technology validation in real environment
- Translation of strategic transformations to AI technology projectsFrom1 Dec 2019 → 31 Aug 2021Funding: Industrial enterprises, Department Economy, Employment and Internal Affairs, ESF
- Providing hospitals with richer insights in their processes: an enhanced methodology for data-driven root-cause analysis using an improved event logFrom1 Oct 2019 → 30 Sep 2022Funding: FWO junior postdoctoral fellowship
Publications
41 - 50 of 99
- Detecting train reroutings with process mining: A Belgian application(2018)
Authors: Gert JANSSENSWILLEN, Benoit DEPAIRE, Sabine VERBOVEN
Pages: 1 - 24 - Empirically Evaluating Process Mining Algorithms: Towards Closing the Methodological Gap(2018)
Authors: Toon JOUCK, Benoit DEPAIRE
Number of pages: 246 - Developing an emergency department crowding dashboard: a design science approach(2018)
Authors: Niels MARTIN, Jochen BERGS, Dorien Eerdekens, Benoit DEPAIRE, Sandra Verelst
Pages: 68 - 76 - An Improved Way for Measuring Simplicity During Process Discovery(2018)Series: Lecture Notes in Business Information Processing
Authors: Jonas LIEBEN, Benoit DEPAIRE, Mieke JANS, Toon JOUCK
Pages: 49 - 62 - A statistical methodology for analysing heuristic algorithms(2017)
Authors: Jeroen CORSTJENS, An CARIS, Benoit DEPAIRE, Kenneth Sörensen
Pages: 26 - 27 - Analysing collaborative performance and cost allocation for the joint route planning problem(2017)
Authors: Lotte VERDONCK, Katrien RAMAEKERS, Benoit DEPAIRE, An CARIS, Gerrit JANSSENS
Pages: 24 - 33 - Using event log knowledge to support business process simulation model construction(2017)
Authors: Niels MARTIN, Benoit DEPAIRE
Number of pages: 326 - Retrieving batch organisation of work insights from event logs(2017)
Authors: Niels MARTIN, Marijke SWENNEN, Benoit DEPAIRE, Mieke JANS, An CARIS, Koen VANHOOF
Pages: 119 - 128 - A comparative study of existing quality measures for process discovery(2017)
Authors: Gert JANSSENSWILLEN, Niels Donders, Toon JOUCK, Benoit DEPAIRE
Pages: 1 - 15 - Summary of the Process Discovery Contest 2016(2017)Series: Lecture Notes in Business Information Processing
Authors: Josep Carmona, Massimiliano de Leoni, Benoit DEPAIRE, Toon JOUCK
Pages: 7 - 10
Linked dataset
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