Philip Weber

Orcid: 0000-0002-3121-9625

Affiliations:
  • Aston University, Department of Computer Science, Forensic Data Science Laboratory, Birmingham, UK
  • University of Birmingham, UK (PhD 2014)


According to our database1, Philip Weber authored at least 21 papers between 2011 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2022
Automated conflict resolution for patients with multiple morbidity being treated using more than one set of single condition clinical guidance: A case study.
Comput. Biol. Medicine, 2022

2021
<i>MedPath</i>: A process-based modeling language for designing care pathways.
Int. J. Medical Informatics, 2021

2020
Automated Verification of Care Pathways Using Constraint Programming.
IEEE J. Biomed. Health Informatics, 2020

Trends of digitalization and adoption of big data & analytics among UK SMEs: Analysis and lessons drawn from a case study of 53 SMEs.
Proceedings of the 2020 IEEE International Conference on Engineering, 2020

2018
Automated conflict detection between medical care pathways.
J. Softw. Evol. Process., 2018

Exploring How Phone Classification Neural Networks Learn Phonetic Information by Visualising and Interpreting Bottleneck Features.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

A Process Mining and Text Analysis Approach to Analyse the Extent of Polypharmacy in Medical Prescribing.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

2017
Phone Classification Using a Non-Linear Manifold with Broad Phone Class Dependent DNNs.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

2016
Identification of British English regional accents using fusion of i-vector and multi-accent phonotactic systems.
Proceedings of the Odyssey 2016: The Speaker and Language Recognition Workshop, 2016

Interpretation of Low Dimensional Neural Network Bottleneck Features in Terms of Human Perception and Production.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Progress on phoneme recognition with a continuous-state HMM.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Consonant recognition with continuous-state hidden Markov models and perceptually-motivated features.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Recognition of voiced sounds with a continuous state HMM.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Analysis of a low-dimensional bottleneck neural network representation of speech for modelling speech dynamics.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

2014
A framework for the analysis and comparison of process mining algorithms.
PhD thesis, 2014

Trajectory analysis of speech using continuous state hidden Markov Models.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
A Framework for the Analysis of Process Mining Algorithms.
IEEE Trans. Syst. Man Cybern. Syst., 2013

A principled approach to mining from noisy logs using Heuristics Miner.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

2012
Process Mining in Non-Stationary Environments.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
A Principled Approach to the Analysis of Process Mining Algorithms.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

Real-Time Detection of Process Change using Process Mining.
Proceedings of the 2011 Imperial College Computing Student Workshop, 2011


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