Robert Andrews

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	Toate	Din 2020
Referințe bibliografice	4104	1658
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Moe Thandar Kyaw WynnProfessor, Queensland University of TechnologyAdresă de e-mail confirmată pe qut.edu.au
Joachim DiederichUniversity of QueenslandAdresă de e-mail confirmată pe uq.edu.au
Suriadi SuriadiQueensland University of TechnologyAdresă de e-mail confirmată pe qut.edu.au
Kanika GoelQueensland University of TechnologyAdresă de e-mail confirmată pe qut.edu.au
Fahame EmamjomeQueensland University of TechnologyAdresă de e-mail confirmată pe qut.edu.au
Kirsten Vallmuurqueensland university of technologyAdresă de e-mail confirmată pe qut.edu.au
Emma BosleyDirector of Research, Queensland Ambulance ServiceAdresă de e-mail confirmată pe ambulance.qld.gov.au
Maximilian RöglingerUniversity of Bayreuth; FIM Research Center for Information Management; Fraunhofer FITAdresă de e-mail confirmată pe fim-rc.de
Rebekah EdenUniversity of QueenslandAdresă de e-mail confirmată pe uq.edu.au
Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Celonis || Fraunhofer FIT || TU/eAdresă de e-mail confirmată pe pads.rwth-aachen.de
Hajo A. ReijersProfessor of Computer Science, Utrecht University & Eindhoven University of TechnologyAdresă de e-mail confirmată pe uu.nl
Erik PoppeResearch Fellow, Queensland University of TechnologyAdresă de e-mail confirmată pe qut.edu.au
Anastasiia PikaProcess Mining ResearchAdresă de e-mail confirmată pe hdr.qut.edu.au
Dirk FahlandAssociate Professor in Computer Science, Eindhoven University of TechnologyAdresă de e-mail confirmată pe tue.nl
Xixi LuAssistant Professor at Utrecht UniversityAdresă de e-mail confirmată pe uu.nl
Guido BolognaUniversity of Applied Sciences and Arts of Western Switzerland, Geneva.Adresă de e-mail confirmată pe hesge.ch
Prabhakar DixitPhD StudentAdresă de e-mail confirmată pe tue.nl
Chun OuyangAssociate Professor, PhD, Queensland University of TechnologyAdresă de e-mail confirmată pe qut.edu.au
Frederic MaireAdjunct Senior Lecturer in Robotics, Queensland University of TechnologyAdresă de e-mail confirmată pe qut.edu.au
Michael RosemannQueensland University of TechnologyAdresă de e-mail confirmată pe qut.edu.au

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Robert Andrews

Senior Research Fellow, Queensland University of Technology

Adresă de e-mail confirmată pe qut.edu.au

Process mining Data mining Data Quality Pattern recognition Machine learning


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Survey and critique of techniques for extracting rules from trained artificial neural networks R Andrews, J Diederich, AB Tickle Knowledge-based systems 8 (6), 373-389, 1995	1766	1995
The truth will come to light: Directions and challenges in extracting the knowledge embedded within trained artificial neural networks AB Tickle, R Andrews, M Golea, J Diederich IEEE transactions on neural networks 9 (6), 1057-1068, 1998	598	1998
Event log imperfection patterns for process mining: Towards a systematic approach to cleaning event logs S Suriadi, R Andrews, AHM ter Hofstede, MT Wynn Information systems 64, 132-150, 2017	324	2017
Process mining for healthcare: Characteristics and challenges Journal of Biomedical Informatics 127, 103994, 2022	272	2022
Quality-informed semi-automated event log generation for process mining R Andrews, CGJ van Dun, MT Wynn, W Kratsch, MKE Röglinger, ... Decision Support Systems 132, 113265, 2020	97	2020
Rule extraction from a constrained error back propagation MLP R Andrews, S Geva Australian Conference on Neural Networks, Brisbane, Queensland, 9-12, 1994	90	1994
A case study lens on process mining in practice F Emamjome, R Andrews, AHM ter Hofstede On the Move to Meaningful Internet Systems: OTM 2019 Conferences …, 2019	65	2019
Leveraging data quality to better prepare for process mining: an approach illustrated through analysing road trauma pre-hospital retrieval and transport processes in Queensland R Andrews, MT Wynn, K Vallmuur, AHM Ter Hofstede, E Bosley, M Elcock, ... International journal of environmental research and public health 16 (7), 1138, 2019	64	2019
Rule extraction from local cluster neural nets R Andrews, S Geva Neurocomputing 47 (1-4), 1-20, 2002	63	2002
Detection and interactive repair of event ordering imperfection in process logs PM Dixit, S Suriadi, R Andrews, MT Wynn, AHM ter Hofstede, JCAM Buijs, ... Advanced Information Systems Engineering: 30th International Conference …, 2018	57	2018
Inserting and extracting knowledge from constrained error back-propagation networks. R Andrews Proceedings of the 6th Australian Conference on Neural Networks, 1995	56	1995
RULEX & CEBP Networks as the Basis for a Rule Refinement System R Andrews, S Geva Hybrid problems, hybrid solutions 27, 1, 1995	55	1995
Digital health data quality issues: systematic review R Syed, R Eden, T Makasi, I Chukwudi, A Mamudu, M Kamalpour, ... Journal of medical Internet research 25, e42615, 2023	43	2023
Enhancing event log quality: Detecting and quantifying timestamp imperfections DA Fischer, K Goel, R Andrews, CGJ van Dun, MT Wynn, M Röglinger Business Process Management: 18th International Conference, BPM 2020 …, 2020	42	2020
Towards event log querying for data quality: Let’s start with detecting log imperfections R Andrews, S Suriadi, C Ouyang, E Poppe On the Move to Meaningful Internet Systems. OTM 2018 Conferences …, 2018	40	2018
Improving patient flows at St. Andrew’s War Memorial Hospital’s emergency department through process mining R Andrews, S Suriadi, M Wynn, AHM ter Hofstede, S Rothwell Business process management cases: digital innovation and business …, 2018	32	2018
An evaluation and comparison of techniques for extracting and refining rules from artificial neural networks R Andrews, R Cable, J Diederich, S Geva, M Golea, R Hayward, ... QUT NRC (February 1996), 1996	32	1996
A comparative process mining analysis of road trauma patient pathways R Andrews, MT Wynn, K Vallmuur, AHM Ter Hofstede, E Bosley International journal of environmental research and public health 17 (10), 3426, 2020	30	2020
Lessons from past, current issues, and future research directions in extracting the knowledge embedded in artificial neural networks AB Tickle, F Maire, G Bologna, R Andrews, J Diederich Hybrid neural systems, 226-239, 2000	30	2000
Rules and local function networks R Andrews, S Geva Proceedings of the Workshop on Rule Extraction From Trained Artificial …, 1996	30	1996

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