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Journals | Conferences | Theses | Other | Talks | Posters

Journal Papers

  • G. S. Morrison, P. Weber, N. Basu, R. Puch-Solis, P. S. Randolph-Quinney: Calculation of likelihood ratios for inference of biological sex from human skeletal remains. Forensic Science International: Synergy, 3:100102, 15 pages, 2021. ( DOI ).
  • I. A. Trajano, J. B. Ferreira Filho, F. R. C. Sousa, I. Litchfield and P. Weber: MedPath : A process-based modeling language for designing carepathways. International Journal of Medical Informatics, 104328, 9 pages, 2020. ( DOI ).
  • R. P. De Figueiredo, J. B. Ferreira Filho, F. R. C. Sousa, P. Weber and I. Litchfield: Automated Verification of Care Pathways Using Constraint Programming. IEEE Journal of Biomedical and Health Informatics, 24(9):2718-2725, 2020. ( DOI ).
  • I. Litchfield, A. Turner, R. Backman, J. B. F. Filho and P. Weber: Automated conflict resolution between multiple clinical pathways: A technology report. Journal of Innovation in Health Informatics, 5(3):142-148, 2018. ( DOI ).
  • I. Litchfield, C. Hoye, D. Shukla, R. Backman, A. Turner, M. Lee and P. Weber: Can process mining automatically describe care pathways of patients with long-term conditions in UK primary care? A study protocol. BMJ Open, 8:e019947, 2018. ( DOI ).
  • P. Weber, J. B. F. Filho, B. Bordbar, M. Lee, I. Litchfield and R. Backman: Automated Conflict Detection Between Medical Care Pathways. Journal of Software: Evolution and Process (Special Issue on Software Engineering for Connected Health), e1898 (18 pages), 2017. ( Preprint PDF,  DOI ).
  • R. Backman, P. Weber, A. M. Turner, M. G. Lee and I. Litchfield: Assessing the extent of drug interactions amongst patients with multimorbidity in primary and secondary care in the West Midlands (UK): A study protocol for the Mixed Methods Multimorbidity Study (MiMMS). BMJ Open, 7(9):e016713 (8 pages), 2017. ( HTTP,  DOI ).
  • B. Bordbar and P. Weber: Automated Prevention of Failure in Complex and Large Systems: Fighting Fire with Fire. International Journal of informatics Society (IJIS), 5(2), pp 97-106, 2013. ( PDF ).
  • P. Weber, B. Bordbar and P. Tiňo: A Framework for the Analysis of Process Mining Algorithms. IEEE Transactions on Systems, Man and Cybernetics: Systems, 43(2), pp. 303-317, 2013. ( DOI ).

Refereed Conference Papers

  • Mohamed M. and Weber P.: Trends of digitalization and adoption of big data & analytics among UK SMEs: Analysis and lessons drawn from a case study of 53 SMEs. 2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), Cardiff, UK, 2020. ( DOI ).
  • L. Bai, P. Weber, P. Jančovič and M. Russell: Exploring how Phone Classification Neural Networks Learn Phonetic Information by Visualising and Interpreting Bottleneck Features. Interspeech 2018, pp1472-1476, Hyderabad, India, 2018. ( DOI,  PDF ).
  • P. Weber, R. Backman, I. Litchfield and M. Lee: A Process Mining and Text Analysis Approach to Analyse the Extent of Polypharmacy in Medical Prescribing. In Proc. the 6th IEEE International Conference on Healthcare Informatics (ICHI 2018), pp1-11, New York, NY, USA, 2018. ( PDF, slides, poster PDF ).
  • P. Weber, J. B. F. Filho, B. Bordbar, M. Lee, I. Litchfield and R. Backman: Automated Conflict Detection Between Medical Care Pathways. In N. Carroll, C. Kuziemsky and I. Richardson (Eds.), Software Engineering for Connected Health (Journal First Session), Proc. International Conference on Software and System Process (ICSSP), Paris, France, 2017. ( DOI, slides ).
  • L. Bai, P. Jančovič, M. Russell, P. Weber and S. Houghton: Phone Classification using a Non-Linear Manifold with Broad Phone Class Dependent DNNs. Interspeech 2017, pp319-323, Stockholm, Sweden, 2017. ( DOI,  PDF ).
  • P. Weber, L. Bai, M. J. Russell, P. Jančovič and S. M. Houghton: Interpretation of Low Dimensional Neural Network Bottleneck Features in Terms of Human Perception and Production. Interspeech 2016, pp3384-3388, San Francisco, CA, USA, 2016. ( PDF, poster PDF ).
  • M. Najafian, S. Safavi, P. Weber and M. J. Russell: Identification of British English regional accents using fusion of i-vector and multi-accent phonotactic systems. Odyssey 2016, pp132-139, Bilbao, Spain, 2016. ( PDF ).
  • P. Weber, L. Bai, S. M. Houghton, P. Jančovič and M. J. Russell: Progress on Phoneme Recognition with a Continuous-State HMM. ICASSP 2016, pp5850-5854, Shanghai, China, 2016. ( DOI, poster PDF ).
  • P. Weber, C. Champion, S. Houghton, P. Jančovič and M. Russell: Consonant Recognition with Continuous-State Hidden Markov Models and Perceptually-Motivated Features. Interspeech 2015, pp1893-1897, Dresden, Germany, 2015. ( PDF ).
  • Linxue Bai, P. Jančovič, M. Russell and P. Weber: Analysis of a Low-Dimensional Bottleneck Neural Network Representation of Speech for Modelling Speech Dynamics. Interspeech 2015, pp583-587, Dresden, Germany, 2015. ( PDF ).
  • S. Houghton, C. Champion and P. Weber: Recogniton of Voiced Sounds with a Continuous State HMM. Interspeech 2015, pp523-527, Dresden, Germany, 2015. ( PDF ).
  • P. Weber, S. Houghton, C. Champion, M. J. Russell and P. Jančovič: Trajectory Analysis of Speech using Continuous State Hidden Markov Models. ICASSP 2014, pp3042-3046, Florence, Italy, 2014. ( DOI, slides ).
  • P. Weber, B. Bordbar and P. Tiňo: A Principled Approach to Mining From Noisy Logs Using Heuristics Miner. In Proc. Computational Intelligence and Data Mining (CIDM), 2013 IEEE Symposium on, Singapore, 2013. ( DOI ).
  • P. Weber, P. Taylor, B. Majeed and B. Bordbar: Comparing Complex Business Process Models. In Proc. The IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2012, Hong Kong, 2012. ( PDF Copyright IEEE ).
  • P. Weber, P. Tiňo and B. Bordbar: Process Mining in Non-Stationary Environments. In The 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - ESANN 2012, Bruges, Belgium 2012. PDF, poster PDF ).
  • P. Weber, B. Bordbar and P. Tiňo: A Principled Approach to the Analysis of Process Mining Algorithms. In The 12th International Conference on Intelligent Data Engineering and Automated Learning - IDEAL 2011, pp. 474-481, Lecture Notes in Computer Science, LNCS 6936, Springer, 2011. ( DOI,  slides ).
  • P. Weber, B. Bordbar, P. Tiňo and B. Majeed: A Framework for Comparing Process Mining Algorithms. In The 6th IEEE GCC Conference, pp. 625-628, IEEE Computer Society, 2011. ( DOI ).

PhD Thesis

  • P. Weber: A Framework for the Analysis and Comparison of Process Mining Algorithms. PhD thesis, University of Birmingham, UK, 2014. ( eTheses ).

Workshop and Other Papers

  • I. Litchfield, M. Lee and P. Weber: The Automated Identification and Mitigation of Conflict Between Clinical Pathways. Accepted to the 46th North American Primary Care Research Group (NAPCRG) Annual Meeting, Chicago, USA, 2018.
  • I. Litchfield, M. Lee and P. Weber: Using Process Mining to Automatically Describe and Compare Pathways of Patients with Long-Term Conditions in Primary Care. Accepted to the 1st Annual Implementation Science Research Conference, London, 2018.
  • I. Litchfield, A. Turner, R. Backman, P. Weber and M. Lee: Automated Conflict Resolution between multiple Clinical Pathways: An Aid for Family Practitioners. 45th North American Primary Care Research Group (NAPCRG) Annual Meeting, Montreal, Quebec, 2017. ( poster PDF ).
  • I. Litchfield, J. Bowles, B. Bordbar, A. Turner, R. Backman, P. Weber, M. Caminati and M. Lee: Automated Conflict Resolution between multiple Clinical Pathways: An Aid for Family Practitioners. 44th North American Primary Care Research Group (NAPCRG) Annual Meeting, Colorado Springs, USA, 2016, and 3rd West Midlands Health Informatics Network (WIN) Annual Conference, Warwick, UK, 2017. ( poster PDF ).
  • P. Weber, B. Bordbar and P. Tiňo: Real-Time Detection of Process Change using Process Mining. In Andrew V. Jones, editor, ICCSW, volume DTR11-9 of Department of Computing Technical Report, pp. 108-114. Imperial College London, 2011. ( PDF,  slides ).

Other Talks

  • Automatic Speech Recognition: where AI meets Human Intelligence: at BrumAI, Birmingham, 2020. ( slides ).
  • Can Deep Neural Networks Inform Speech Science? Automatically-Derived Meaningful Representations of Speech: at PERCAT LES & EPS Research Conference, University of Birmingham, 2016. ( slides ).
  • Consonant Recognition with Continuous-State Hidden Markov Models and Perceptually-Motivated Features: at UK Speech, University of East Anglia, 2015. ( slides ).

Posters

  • L. Bai, P. Weber, P. Jančovič and M. Russell: Exploring How Phone Classification Neural Networks Learn Phonetic Information by Visualising and Interpreting Bottleneck Features. Presented at the UK Speech Conference, University of Birmingham, 2019. ( PDF ).
  • P. Weber, R. Backman, I. Litchfield and M. Lee: A Process Mining and Text Analysis Approach to Analyse the Extent of Polypharmacy in Medical Prescribing. Presented at the Clinical Science and Engineering for Digital Health Workshop, Aston University, 2018. ( PDF ).
  • R. Backman, A. Turner, P. Weber, M. Lee and I. Litchfield: A Mixed Methods Approach to Assessing Multimorbidity in Primary and Secondary Care (MiMMS). Presented at the PERCAT Research Gala, University of Birmingham, 2016. ( PDF ).
  • Linxue Bai, P. Jančovič, M. Russell and P. Weber: Analysis of a Low-Dimensional Bottleneck Neural Network Representation of Speech for Modelling Speech Dynamics. Presented at the UK Speech Conference, University of East Anglia, Norwich, 2015. ( PDF ).
  • P. Weber, S. Houghton, C. Champion, M. J. Russell and P. Jančovič: Trajectory Analysis of Speech using Continuous State Hidden Markov Models. Presented at the UK Speech Conference, University of Edinburgh, Google’s 1st Doctoral Workshop on Speech Technology, London, and the College of Engineering and Physical Sciences Research Conference, University of Birmingham, 2014. ( PDF ).
  • P. Weber, B. Bordbar and P. Tiňo. A Framework for the Analysis of Process Mining Algorithms. Presented at the CS & EECE PhD Student trip to the Raymond Priestly Centre, Coniston, 4 Sept 2012. ( PDF ).
  • P. Weber, B. Bordbar and P. Tiňo. Real-time Process Mining? Presented at the British Science Festival doctoral research showcase, University of Birmingham, 17 Sept 2010, and Industrial Advisory Board, School of Computer Science, University of Birmingham, 16 Sept 2010. ( PDF ).