Ian H. Jarman

According to our database, Ian H. Jarman authored at least 33 papers between 2007 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Music genre profiling based on Fisher manifolds and Probabilistic Quantum Clustering.

Raúl V. Casaña Eslava, Ian H. Jarman, Sandra Ortega-Martorell, Paulo J. G. Lisboa, José David Martín-Guerrero

Neural Comput. Appl., 2021

2020

Probabilistic quantum clustering.

Raúl V. Casaña Eslava, Paulo J. G. Lisboa, Sandra Ortega-Martorell, Ian H. Jarman, José David Martín-Guerrero

Knowl. Based Syst., 2020

2019

A Probabilistic framework for Quantum Clustering.

Raúl V. Casaña Eslava, Paulo J. G. Lisboa, Sandra Ortega-Martorell, Ian H. Jarman, José David Martín-Guerrero

CoRR, 2019

Scalable implementation of measuring distances in a Riemannian manifold based on the Fisher Information metric.

Raúl V. Casaña Eslava, José David Martín-Guerrero, Sandra Ortega-Martorell, Paulo J. G. Lisboa, Ian H. Jarman

Proceedings of the International Joint Conference on Neural Networks, 2019

Comparative Analysis for Computer-Based Decision Support: Case Study of Knee Osteoarthritis.

Philippa Grace McCabe, Iván Olier, Sandra Ortega-Martorell, Ian H. Jarman, Vasilios Baltzopoulos, Paulo Lisboa

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

2017

Quantum clustering in non-spherical data distributions: Finding a suitable number of clusters.

Raúl V. Casaña Eslava, Ian H. Jarman, Paulo J. G. Lisboa, José David Martín-Guerrero

Neurocomputing, 2017

2016

Performance assessment of quantum clustering in non-spherical data distributions.

Raúl V. Casaña Eslava, José David Martín-Guerrero, Ian H. Jarman, Paulo J. G. Lisboa

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2014

A framework for initialising a dynamic clustering algorithm: ART2-A.

Simon J. Chambers, Ian H. Jarman, Paulo J. G. Lisboa

Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Use of q-values to Improve a Genetic Algorithm to Identify Robust Gene Signatures.

Daniel Urda, Simon J. Chambers, Ian H. Jarman, Paulo J. G. Lisboa, Leonardo Franco, José M. Jerez

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2014

2013

A principled approach to network-based classification and data representation.

Héctor Ruiz, Terence A. Etchells, Ian H. Jarman, José David Martín-Guerrero, Paulo J. G. Lisboa

Neurocomputing, 2013

Finding reproducible cluster partitions for the k-means algorithm.

Paulo J. G. Lisboa, Terence A. Etchells, Ian H. Jarman, Simon J. Chambers

BMC Bioinform., 2013

2012

Towards interpretable classifiers with blind signal separation.

Héctor Ruiz, Ian H. Jarman, José David Martín-Guerrero, Sandra Ortega-Martorell, Alfredo Vellido, Enrique Romero, Paulo J. G. Lisboa

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Constructing similarity networks using the Fisher information metric.

Héctor Ruiz, Sandra Ortega-Martorell, Ian H. Jarman, José David Martín-Guerrero, Paulo J. G. Lisboa

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011

Clustering of protein expression data: a benchmark of statistical and neural approaches.

Ian H. Jarman, Terence A. Etchells, Davide Bacciu, Jonathan M. Garibaldi, Ian O. Ellis, Paulo J. G. Lisboa

Soft Comput., 2011

The role of Fisher information in primary data space for neighbourhood mapping.

Héctor Ruiz, Ian H. Jarman, José David Martín-Guerrero, Paulo J. G. Lisboa

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

Scenario Analysis for Local Area Life Expectancy Using Conditional Independence Maps.

Ian H. Jarman, Terence A. Etchells, C. Perkins, M. A. Bellis, Paulo J. G. Lisboa

Proceedings of the 2011 Developments in E-systems Engineering, 2011

Clustering categorical data: A stability analysis framework.

Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa, C. M. Beynon, José David Martín-Guerrero

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

Discovering Hidden Pathways in Bioinformatics.

Paulo J. G. Lisboa, Ian H. Jarman, Terence A. Etchells, Simon J. Chambers, Davide Bacciu, Joe Whittaker, Jonathan M. Garibaldi, Sandra Ortega-Martorell, Alfredo Vellido, Ian O. Ellis

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2011

2010

A Clinical Decision Support System for Breast Cancer Patients.

Ana S. Fernandes, Pedro Alves, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Paulo J. G. Lisboa

Proceedings of the Emerging Trends in Technological Innovation, 2010

2009

Short-term time-to-event model of response to treatment following the GIMEMA protocol for Acute Myeloid Leukaemia.

Paulo J. G. Lisboa, Ian H. Jarman, Terence A. Etchells, Federico Ambrogi, Ilaria Ardoino, Marco Vignetti, Elia Biganzoli

Proceedings of the Computational Intelligence and Bioengineering, 2009

Partial Logistic Artificial Neural Network for Competing Risks Regularized With Automatic Relevance Determination.

Paulo J. G. Lisboa, Terence A. Etchells, Ian H. Jarman, Corneliu T. C. Arsene, Min S. Hane Aung, Antonio Eleuteri, Azzam Fouad George Taktak, Federico Ambrogi, Patrizia Boracchi, Elia Biganzoli

IEEE Trans. Neural Networks, 2009

Evaluation of missing data imputation in longitudinal cohort studies in breast cancer survival.

Ana S. Fernandes, José Manuel Fonseca, Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa, Elia Biganzoli, Chris Bajdik

Int. J. Knowl. Eng. Soft Data Paradigms, 2009

How to find simple and accurate rules for viral protease cleavage specificities.

Thorsteinn S. Rögnvaldsson, Terence A. Etchells, Liwen You, Daniel Garwicz, Ian H. Jarman, Paulo J. G. Lisboa

BMC Bioinform., 2009

Grocery shopping recommendations based on basket-sensitive random walk.

Ming Li, M. Benjamin Dias, Ian H. Jarman, Wael El-Deredy, Paulo J. G. Lisboa

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Stratification Methodologies for Neural Networks Models of Survival.

Ana S. Fernandes, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Elia Biganzoli, Chris Bajdik, Paulo J. G. Lisboa

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Patient stratification with competing risks by multivariate Fisher distance.

Davide Bacciu, Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa

Proceedings of the International Joint Conference on Neural Networks, 2009

Different Methodologies for Patient Stratification Using Survival Data.

Ana S. Fernandes, Davide Bacciu, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Paulo J. G. Lisboa

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2009

2008

Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer.

Paulo J. G. Lisboa, Terence A. Etchells, Ian H. Jarman, M. S. Hane Aung, Sylvie Chabaud, Thomas Bachelot, David Pérol, Thérèse Gargi, Valérie Bourdès, Stéphane Bonnevay, Sylvie Négrier

Neural Networks, 2008

An integrated framework for risk profiling of breast cancer patients following surgery.

Ian H. Jarman, Terence A. Etchells, José David Martín-Guerrero, Paulo J. G. Lisboa

Artif. Intell. Medicine, 2008

Stratification of Severity of Illness Indices: A Case Study for Breast Cancer Prognosis.

Terence A. Etchells, Ana S. Fernandes, Ian H. Jarman, José Manuel Fonseca, Paulo J. G. Lisboa

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

Missing Data Imputation in Longitudinal Cohort Studies: Application of PLANN-ARD in Breast Cancer Survival.

Ana S. Fernandes, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Elia Biganzoli, Chris Bajdik, Paulo J. G. Lisboa

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2007

A Prototype Integrated Decision Support System for Breast Cancer Oncology.

Paulo J. G. Lisboa, Ian H. Jarman, Terence A. Etchells, Phillip Ramsey

Proceedings of the Computational and Ambient Intelligence, 2007

Assessing flexible models and rule extraction from censored survival data.

Paulo J. G. Lisboa, Elia Biganzoli, Azzam F. Taktak, Terence A. Etchells, Ian H. Jarman, M. S. Hane Aung, Federico Ambrogi

Proceedings of the International Joint Conference on Neural Networks, 2007