Ian H. Jarman

Publication Activity (10 Years)

Years Active: 2007-2021
Publications (10 Years): 7

Top Topics

Blind Signal Separation

Acute Abdominal Pain

Clustering Algorithm

Data Distribution

Top Venues

Publications

Raúl V. Casaña Eslava, Ian H. Jarman, Sandra Ortega-Martorell, Paulo J. G. Lisboa, José David Martín-Guerrero
Music genre profiling based on Fisher manifolds and Probabilistic Quantum Clustering. Neural Comput. Appl. 33 (13) (2021)
Raúl V. Casaña Eslava, Paulo J. G. Lisboa, Sandra Ortega-Martorell, Ian H. Jarman, José David Martín-Guerrero
Probabilistic quantum clustering. Knowl. Based Syst. 194 (2020)
Philippa Grace McCabe, Iván Olier, Sandra Ortega-Martorell, Ian H. Jarman, Vasilios Baltzopoulos, Paulo Lisboa
Comparative Analysis for Computer-Based Decision Support: Case Study of Knee Osteoarthritis. IDEAL (2) (2019)
Raúl V. Casaña Eslava, José David Martín-Guerrero, Sandra Ortega-Martorell, Paulo J. G. Lisboa, Ian H. Jarman
Scalable implementation of measuring distances in a Riemannian manifold based on the Fisher Information metric. IJCNN (2019)
Raúl V. Casaña Eslava, Paulo J. G. Lisboa, Sandra Ortega-Martorell, Ian H. Jarman, José David Martín-Guerrero
A Probabilistic framework for Quantum Clustering. CoRR (2019)
Raúl V. Casaña Eslava, Ian H. Jarman, Paulo J. G. Lisboa, José David Martín-Guerrero
Quantum clustering in non-spherical data distributions: Finding a suitable number of clusters. Neurocomputing 268 (2017)
Raúl V. Casaña Eslava, José David Martín-Guerrero, Ian H. Jarman, Paulo J. G. Lisboa
Performance assessment of quantum clustering in non-spherical data distributions. ESANN (2016)
Simon J. Chambers, Ian H. Jarman, Paulo J. G. Lisboa
A framework for initialising a dynamic clustering algorithm: ART2-A. CIDM (2014)
Daniel Urda, Simon J. Chambers, Ian H. Jarman, Paulo J. G. Lisboa, Leonardo Franco, José M. Jerez
Use of q-values to Improve a Genetic Algorithm to Identify Robust Gene Signatures. CIBB (2014)
Paulo J. G. Lisboa, Terence A. Etchells, Ian H. Jarman, Simon J. Chambers
Finding reproducible cluster partitions for the k-means algorithm. BMC Bioinform. 14 (S-1) (2013)
Héctor Ruiz, Terence A. Etchells, Ian H. Jarman, José David Martín-Guerrero, Paulo J. G. Lisboa
A principled approach to network-based classification and data representation. Neurocomputing 112 (2013)
Héctor Ruiz, Ian H. Jarman, José David Martín-Guerrero, Sandra Ortega-Martorell, Alfredo Vellido, Enrique Romero, Paulo J. G. Lisboa
Towards interpretable classifiers with blind signal separation. IJCNN (2012)
Héctor Ruiz, Sandra Ortega-Martorell, Ian H. Jarman, José David Martín-Guerrero, Paulo J. G. Lisboa
Constructing similarity networks using the Fisher information metric. ESANN (2012)
Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa, C. M. Beynon, José David Martín-Guerrero
Clustering categorical data: A stability analysis framework. CIDM (2011)
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
Discovering Hidden Pathways in Bioinformatics. CIBB (2011)
Héctor Ruiz, Ian H. Jarman, José David Martín-Guerrero, Paulo J. G. Lisboa
The role of Fisher information in primary data space for neighbourhood mapping. ESANN (2011)
Ian H. Jarman, Terence A. Etchells, Davide Bacciu, Jonathan M. Garibaldi, Ian O. Ellis, Paulo J. G. Lisboa
Clustering of protein expression data: a benchmark of statistical and neural approaches. Soft Comput. 15 (8) (2011)
Ian H. Jarman, Terence A. Etchells, C. Perkins, M. A. Bellis, Paulo J. G. Lisboa
Scenario Analysis for Local Area Life Expectancy Using Conditional Independence Maps. DeSE (2011)
Ana S. Fernandes, Pedro Alves, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Paulo J. G. Lisboa
A Clinical Decision Support System for Breast Cancer Patients. DoCEIS (2010)
Ming Li, M. Benjamin Dias, Ian H. Jarman, Wael El-Deredy, Paulo J. G. Lisboa
Grocery shopping recommendations based on basket-sensitive random walk. KDD (2009)
Ana S. Fernandes, José Manuel Fonseca, Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa, Elia Biganzoli, Chris Bajdik
Evaluation of missing data imputation in longitudinal cohort studies in breast cancer survival. Int. J. Knowl. Eng. Soft Data Paradigms 1 (3) (2009)
Ana S. Fernandes, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Elia Biganzoli, Chris Bajdik, Paulo J. G. Lisboa
Stratification Methodologies for Neural Networks Models of Survival. IWANN (1) (2009)
Thorsteinn S. Rögnvaldsson, Terence A. Etchells, Liwen You, Daniel Garwicz, Ian H. Jarman, Paulo J. G. Lisboa
How to find simple and accurate rules for viral protease cleavage specificities. BMC Bioinform. 10 (2009)
Davide Bacciu, Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa
Patient stratification with competing risks by multivariate Fisher distance. IJCNN (2009)
Ana S. Fernandes, Davide Bacciu, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Paulo J. G. Lisboa
Different Methodologies for Patient Stratification Using Survival Data. CIBB (2009)
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
Partial Logistic Artificial Neural Network for Competing Risks Regularized With Automatic Relevance Determination. IEEE Trans. Neural Networks 20 (9) (2009)
Terence A. Etchells, Ana S. Fernandes, Ian H. Jarman, José Manuel Fonseca, Paulo J. G. Lisboa
Stratification of Severity of Illness Indices: A Case Study for Breast Cancer Prognosis. KES (2) (2008)
Ana S. Fernandes, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Elia Biganzoli, Chris Bajdik, Paulo J. G. Lisboa
Missing Data Imputation in Longitudinal Cohort Studies: Application of PLANN-ARD in Breast Cancer Survival. ICMLA (2008)
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
Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer. Neural Networks 21 (2-3) (2008)
Ian H. Jarman, Terence A. Etchells, José David Martín-Guerrero, Paulo J. G. Lisboa
An integrated framework for risk profiling of breast cancer patients following surgery. Artif. Intell. Medicine 42 (3) (2008)
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
Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer. IJCNN (2007)
Paulo J. G. Lisboa, Elia Biganzoli, Azzam F. Taktak, Terence A. Etchells, Ian H. Jarman, M. S. Hane Aung, Federico Ambrogi
Assessing flexible models and rule extraction from censored survival data. IJCNN (2007)
Paulo J. G. Lisboa, Ian H. Jarman, Terence A. Etchells, Phillip Ramsey
A Prototype Integrated Decision Support System for Breast Cancer Oncology. IWANN (2007)