Liverpool Skyline

Department of Applied Mathematics

Dr Ian Jarman

Dr Ian Jarman

Telephone: 0151 231 2579

Publications

Journal Articles

Casana-Eslava RV, Jarman IH, Lisboa PJG, Martin-Guerrero JD. 2017. Quantum clustering in non-spherical data distributions: Finding a suitable number of clusters NEUROCOMPUTING, 268 :127-141 >DOI >Link

Craske J, Carter B, Jarman IH, Tume LN. 2017. Nursing judgement and decision-making using the Sedation Withdrawal Score (SWS) in children JOURNAL OF ADVANCED NURSING, 73 :2327-2338 >DOI >Link

Datson N, Drust B, Weston M, Jarman IH, Lisboa PJ, Gregson W. 2017. MATCH PHYSICAL PERFORMANCE OF ELITE FEMALE SOCCER PLAYERS DURING INTERNATIONAL COMPETITION JOURNAL OF STRENGTH AND CONDITIONING RESEARCH, 31 :2379-2387 >Link

Taylor M, Higgins E, Lisboa P, Jarman I, Hussain A. 2016. Community fire prevention via population segmentation modelling COMMUNITY DEVELOPMENT JOURNAL, 51 :229-247 >DOI >Link

Lowsby R, Gomes C, Jarman I, Lisboa P, Nee PA, Vardhan M, Eckersley T, Saleh R, Mills H. 2015. Neutrophil to lymphocyte count ratio as an early indicator of blood stream infection in the emergency department EMERGENCY MEDICINE JOURNAL, 32 :531-534 >DOI >Link

Kinderman P, Tai S, Pontin E, Schwannauer M, Jarman I, Lisboa P. 2015. Causal and mediating factors for anxiety, depression and well-being British Journal of Psychiatry, 206 :456-460 >DOI

Chambers SJ, Jarman IH, Lisboa PJG. 2014. A framework for initialising a dynamic clustering algorithm: ART2-A 2014 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DATA MINING (CIDM), :273-280 >Link

Burniston JG, Kenyani J, Gray D, Guadagnin E, Jarman IH, Cobley JN, Cuthbertson DJ, Chen Y-W, Wastling JM, Lisboa PJ, Koch LG, Britton SL. 2014. Conditional independence mapping of DIGE data reveals PDIA3 protein species as key nodes associated with muscle aerobic capacity JOURNAL OF PROTEOMICS, 106 :230-245 >DOI >Link

Ruiz H, Etchells TA, Jarman IH, Martín JD, Lisboa PJG. 2013. A principled approach to network-based classification and data representation Neurocomputing, 112 :79-91 >DOI

Chambers SJ, Jarman IH, Etchells TA, Lisboa PJG. 2013. Inference of number of prototypes with a framework approach to K-means clustering International Journal of Biomedical Engineering and Technology, 13 :323-340 >DOI

Chambers SJ, Jarman IH, Etchells TA, Lisboa PJG. 2013. Inference of number of prototypes with a framework approach to K-means clustering International Journal of Biomedical Engineering and Technology, 13 :323-340 >DOI

Ortega-Martorell S, Ruiz H, Vellido A, Olier I, Romero E, Julia-Sape M, Martin JD, Jarman IH, Arus C, Lisboa PJG. 2013. A Novel Semi-Supervised Methodology for Extracting Tumor Type-Specific MRS Sources in Human Brain Data PLOS ONE, 8 >DOI >Link

Ruiz H, Etchells TA, Jarman IH, Martín JD, Lisboa PJG. 2013. A principled approach to network-based classification and data representation Neurocomputing,

Zhang X, Cook PA, Lisboa PJ, Jarman IH, Bellis MA. 2013. The effects of deprivation and relative deprivation on self-reported morbidity in England: an area-level ecological study. Int J Health Geogr, 12 :5 >DOI >Link

Lisboa PJG, Etchells TA, Jarman IH, Chambers SJ. 2013. Finding reproducible cluster partitions for the k-means algorithm BMC Bioinformatics, 14 >DOI

Bellis MA, Jarman I, Downing J, Perkins C, Beynon C, Hughes K, Lisboa P. 2012. Using clustering techniques to identify localities with multiple health and social needs Health and Place, 18 :138-143 >DOI

Beynon CM, Wyke S, Robinson M, Mason J, Murphy K, Jarman I, Bellis MA, Perkins C. 2011. The cost of emergency hospital admissions for falls on snow and ice in England during winter 2009/10: a cross sectional analysis Environmental Health, 10 :60

Jarman IH, Etchells TA, Lisboa PJG, Beynon CM, Martín-Guerrero JD. 2011. Clustering categorical data: A stability analysis framework IEEE SSCI 2011: Symposium Series on Computational Intelligence - CIDM 2011: 2011 IEEE Symposium on Computational Intelligence and Data Mining, :58-65 >DOI

Jarman IH, Etchells TA, Perkins C, Bellis MA, Lisboa PJG. 2011. Scenario analysis for local area life expectancy using conditional independence maps Proceedings - 4th International Conference on Developments in eSystems Engineering, DeSE 2011, :92-97 >DOI

Zhang X, Cook PA, Jarman I, Lisboa P. 2011. Area effects on health inequalities: The impact of neighbouring deprivation on mortality Health and Place,

Beynon C, Wyke S, Jarman I, Robinson M, Mason J, Murphy K, Bellis MA, Perkins C. 2011. The cost of emergency hospital admissions for falls on snow and ice in England during winter 2009/10: a cross sectional analysis ENVIRONMENTAL HEALTH, 10 >DOI >Link

Jarman IH, Etchells TA, Bacciu D, Garibaldi JM, Ellis IO, Lisboa PJG. 2011. Clustering of protein expression data: a benchmark of statistical and neural approaches SOFT COMPUTING, 15 :1459-1469 >DOI >Link

Ruiz H, Jarman IH, Martín JD, Lisboa PJ. 2010. The role of Fisher information in primary data space for neighbourhood mapping ESANN 2011 proceedings, 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, :381-386

Bellis MA, Hughes KE, Quigg ZA, Morleo M, Jarman I, Lisboa P. 2010. Cross-sectional measures and modelled estimates of blood alcohol levels in UK nightlife and their relationships with drinking behaviours and observed signs of inebriation Substance Abuse Treatment, Prevention, and Policy, >DOI

Bacciu D, Jarman IH, Etchells TA, Lisboa PJG. 2009. Patient stratification with competing risks by multivariate Fisher distance Proceedings of the International Joint Conference on Neural Networks, :213-220 >DOI

Lisboa PJG, Jarman IH, Etchells TA, Ambrogi F, Ardoino I, Vignetti M, Biganzoli E. 2009. Short-term time-to-event model of response to treatment following the GIMEMA protocol for Acute Myeloid Leukaemia Frontiers in Artificial Intelligence and Applications, 196 :81-93 >DOI

Rögnvaldsson T, Etchells TA, You L, Garwicz D, Jarman I, Lisboa PJG. 2009. How to find simple and accurate rules for viral protease cleavage specificities BMC Bioinformatics, 10 >DOI

Rognvaldsson T, Etchells TA, You L, Garwicz D, Jarman I, Lisboa PJG. 2009. How to find simple and accurate rules for viral protease cleavage specificities BMC BIOINFORMATICS, 10 >DOI >Link

Fernandes AS, Fonseca JM, Jarman IH, Etchells TA, Lisboa PJ, Biganzoli E, Bajdik C. 2009. Evaluation of missing data imputation in longitudinal cohort studies in breast cancer survival International Journal of Knowledge Engineering and Soft Data Paradigms, 1 :257-257 >DOI

Lisboa PJG, Etchells TA, Jarman IH, Arsene CTC, Aung MSH, Eleuteri A, Taktak AFG, Ambrogi F, Boracchi P, Biganzoli E. 2009. Partial logistic artificial neural network for competing risks regularized with automatic relevance determination. IEEE Trans Neural Netw, 20 :1403-1416 >DOI >Link

Lisboa PJG, Etchells TA, Jarman IH, Arsene CTC, Aung MSH, Eleuteri A, Taktak AFG, Ambrogi F, Boracchi P, Biganzoli E. 2009. Partial Logistic Artificial Neural Network for Competing Risks Regularized With Automatic Relevance Determination IEEE TRANSACTIONS ON NEURAL NETWORKS, 20 :1403-1416 >DOI >Link

Lisboa PJG, Etchells TA, Jarman IH, Hane Aung MS, Chabaud S, Bachelot T, Perol D, Gargi T, Bourdès V, Bonnevay S, Négrier S. 2008. Time-to-event analysis with artificial neural networks: an integrated analytical and rule-based study for breast cancer. Neural Netw, 21 :414-426 >DOI >Link

Jarman IH, Etchells TA, Martín JD, Lisboa PJG. 2008. An integrated framework for risk profiling of breast cancer patients following surgery. Artif Intell Med, 42 :165-188 >DOI >Link

Jarman IH, Etchells TA, Martin JD, Lisboa PJG. 2008. An integrated framework for risk profiling of breast cancer patients following surgery ARTIFICIAL INTELLIGENCE IN MEDICINE, 42 :165-188 >DOI >Link

Lisboa PJG, Jarman IH, Etchells TA, Ramsey P. 2007. A prototype integrated decision support system for breast cancer oncology Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4507 LNCS :999-1003

Lisboa PJG, Etchells TA, Jarman IH, Aung MSH, Chabaud S, Bachelot T, Perol D, Gargi T, Bourdès V, Bonnevay S, Négrier S. 2007. Development of a rule based prognostic tool for HER 2 positive breast cancer patients Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, :5416-5419 >DOI

Lisboa PJG, Etchells TA, Jarman IH, Aung MSH, Chabaud S, Bachelot T, Perol D, Gargi T, Bourdès V, Bonnevay S, Négrier S. 2007. Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer IEEE International Conference on Neural Networks - Conference Proceedings, :2533-2538 >DOI

Lisboa PJG, Etchells TA, Jarman IH, Aung MSH, Chabaud S, Bachelot T, Perol D, Gargi T, Bourdès V, Bonnevay S, Négrier S. 2007. Development of a rule based prognostic tool for HER 2 positive breast cancer patients. Conf Proc IEEE Eng Med Biol Soc, 2007 :5416-5419 >DOI >Link

Conference Publication (journal proceedings)

Casaña-Eslava RV, Martín-Guerrero JD, Jarman IH, Lisboa PJG. 2016. Performance assessment of quantum clustering in non-spherical data distributions ESANN 2016 - 24th European Symposium on Artificial Neural Networks, :339-344

Urda D, Chambers S, Jarman I, Lisboa P, Franco L, Jerez JM. 2015. Use of q-values to improve a genetic algorithm to identify robust gene signatures Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8623 :199 >DOI

Lowsby R, Gomes C, Jarman I, Nee P. 2014. Lymphopenia as a predictor of bacteremia in the emergency department Critical Care, 18 :P220-P220 >DOI

Ruiz H, Ortega-Martorell S, Jarman IH, Martín JD, Lisboa PJG. 2012. Constructing similarity networks using the fisher information metric ESANN 2012 proceedings, 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, :191-196

Lisboa PJG, Jarman IH, Etchells TA, Chambers SJ, Bacciu D, Whittaker J, Garibaldi JM, Ortega-Martorell S, Vellido A, Ellis IO. 2012. Discovering hidden pathways in bioinformatics Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7548 LNBI :49-60 >DOI

Ruiz H, Ortega-Martorell S, Jarman IH, Vellido A, Martin JD, Romero E, Lisboa PJG. 2012. Towards interpretable classifiers with blind signal separation Proceedings of the International Joint Conference on Neural Networks, >DOI

Fernandes AS, Bacciu D, Jarman IH, Etchells TA, Fonseca JM, Lisboa PJG. 2010. Different Methodologies for Patient Stratification Using Survival Data Masulli F, Peterson LE, Tagliaferri R. COMPUTATIONAL INTELLIGENCE METHODS FOR BIOINFORMATICS AND BIOSTATISTICS, 6th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics 6160 :276-+ >Link

Fernandes AS, Alves P, Jarman IH, Etchells TA, Fonseca JM, Lisboa PJG. 2010. A Clinical Decision Support System for Breast Cancer Patients CamarinhaMatos LM, Pereira P, Ribeiro L. EMERGING TRENDS IN TECHNOLOGICAL INNOVATION, 1st IFIP Doctoral Conference on Computing, Electrical and Industrial Systems 314 :122-+ >Link

Fernandes AS, Jarman IH, Etchells TA, Fonseca JM, Biganzoli E, Bajdik C, Lisboa PJG. 2009. Stratification Methodologies for Neural Networks Models of Survival Cabestany J, Prieto A, Sandoval F, Corchado JM. BIO-INSPIRED SYSTEMS: COMPUTATIONAL AND AMBIENT INTELLIGENCE, PT 1, 10th International Work-Conference on Artificial Neural Networks (IWANN 2009) 5517 :989-+ >Link

Bacciu D, Jarman IH, Etchells TA, Lisboa PJG. 2009. Patient Stratification with Competing Risks by Multivariate Fisher Distance IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6, International Joint Conference on Neural Networks :3453-+ >Link

Li M, Dias B, Jarman I, El-Deredy W, Lisboa PJG. 2009. Grocery Shopping Recommendations Based on Basket-Sensitive Random Walk KDD-09: 15TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining :1215-1223 >Link

Fernandes AS, Bacciu D, Jarman IH, Etchells TA, Fonseca JM, Lisboa PJG. 2009. p-Health in breast oncology: a framework for predictive and participatory e-systems AlJumeily D, Nagar AK, Tawfik H, Hussain A, Lisboa P. 2009 SECOND INTERNATIONAL CONFERENCE ON DEVELOPMENTS IN ESYSTEMS ENGINEERING (DESE 2009), 2nd International Conference on Developments in eSystems Engineering :123-129 >DOI >Link

Fernandes AS, Jarman IH, Etchells TA, Fonseca JM, Biganzoli E, Bajdik C, Lisboa PJG. 2008. Missing data imputation in longitudinal cohort studies - application of PLANN-ARD in breast cancer survival Wani MA, Chen X, Casasent D, Kurgan L, Hu T, Hafeez K. SEVENTH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, PROCEEDINGS, 7th International Conference on Machine Learning and Applications :644-+ >DOI >Link

Etchells TA, Fernandes AS, Jarman IH, Fonseca JM, Lisboa PJG. 2008. Stratification of severity of illness indices: A case study for breast cancer prognosis Lovrek I, Howlett RJ, Jain LC. KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS, 12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems 5178 :214-+ >Link

Lisboa PJG, Etchells TA, Jarman IH, Aung MSH, Chabaud S, Bachelot T, Perol D, Gargi T, Bourdes V, Bonnevay S, Negrier S. 2008. Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer NEURAL NETWORKS, International Joint Conference on Neural Networks 21 :414-426 >DOI >Link

Lisboa PJG, Biganzoli EM, Taktak AF, Etchells TA, Jarman IH, Aung MSH, Ambrogi F. 2007. Assessing flexible models and rule extraction from censored survival data 2007 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-6, International Joint Conference on Neural Networks :1663-+ >DOI >Link

Lisboa PJG, Etchells TA, Jarman IH, Aung MSH, Chabaud S, Bachelot T, Pero D, Gargi T, Bourdes V, Bonnevay S, Negrier S. 2007. Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer 2007 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-6, International Joint Conference on Neural Networks :2532-+ >Link

Lisboa PJG, Etchells TA, Jarman IH, Aung MSH, Chabaud S, Bachelot T, Perol D, Gargi T, Bourdes V, Bonnevay S, Negrier S. 2007. Development of a rule based prognostic tool for HER 2 positive breast cancer patients 2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16, 29th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society :5416-+ >DOI >Link

Lisboa PJG, Jarman IH, Etchells TA, Ramsey P. 2007. A prototype integrated decision support system for breast cancer oncology Sandoval F, Prieto A, Cabestany J, Grana M. COMPUTATIONAL AND AMBIENT INTELLIGENCE, 9th International Work-Conference on Artificial Neural Networks 4507 :996-+ >Link

Chapters

Jarman IH, Lisboa PJG, Etchells TA, Chambers SJ, Bacciu D, Whittaker J, Garibaldi J, Ortega-Martorell S, Vellido A, Ellis IO. 2012. Discovering Hidden Pathways in Bioinformatics Biganzoli , Vellido A, Ambrogi F, Tagliaferri R. Computational Intelligence Methods for Bioinformatics and Biostatistics 7548 :49-60 Springer Berlin Heidelberg 978-3-642-35685-8 >DOI

Jarman IH. Discovering hidden pathways in bioinformatics LISBOA PJG, eTCHELLS TA, bACCIU D, Whittaker J.