Ian H. Jarman

34 papers A* 1B 8C 4Misc 1Journal 12Unranked 7
YearRankTypeTitle / Venue / Authors
2021 J jnl
Music genre profiling based on Fisher manifolds and Probabilistic Quantum Clustering.
Neural Comput. Appl.
Raúl V. Casaña Eslava, Ian H. Jarman, Sandra Ortega-Martorell, Paulo J. G. Lisboa, José David Martín-Guerrero
2020 J jnl
Probabilistic quantum clustering.
Knowl. Based Syst.
Raúl V. Casaña Eslava, Paulo J. G. Lisboa, Sandra Ortega-Martorell, Ian H. Jarman, José David Martín-Guerrero
2019 J jnl
A Probabilistic framework for Quantum Clustering.
CoRR
Raúl V. Casaña Eslava, Paulo J. G. Lisboa, Sandra Ortega-Martorell, Ian H. Jarman, José David Martín-Guerrero
2019 — conf
Comparative Analysis for Computer-Based Decision Support: Case Study of Knee Osteoarthritis.
IDEAL (2)
Philippa Grace McCabe, Iván Olier, Sandra Ortega-Martorell, Ian H. Jarman, Vasilios Baltzopoulos, Paulo Lisboa
2019 B conf
Scalable implementation of measuring distances in a Riemannian manifold based on the Fisher Information metric.
IJCNN
Raúl V. Casaña Eslava, José David Martín-Guerrero, Sandra Ortega-Martorell, Paulo J. G. Lisboa, Ian H. Jarman
2017 J jnl
Quantum clustering in non-spherical data distributions: Finding a suitable number of clusters.
Neurocomputing
Raúl V. Casaña Eslava, Ian H. Jarman, Paulo J. G. Lisboa, José David Martín-Guerrero
2016 B conf
Performance assessment of quantum clustering in non-spherical data distributions.
ESANN
Raúl V. Casaña Eslava, José David Martín-Guerrero, Ian H. Jarman, Paulo J. G. Lisboa
2014 C conf
A framework for initialising a dynamic clustering algorithm: ART2-A.
CIDM
Simon J. Chambers, Ian H. Jarman, Paulo J. G. Lisboa
2014 — conf
Use of q-values to Improve a Genetic Algorithm to Identify Robust Gene Signatures.
CIBB
Daniel Urda, Simon J. Chambers, Ian H. Jarman, Paulo J. G. Lisboa, Leonardo Franco, José M. Jerez
2013 J jnl
A principled approach to network-based classification and data representation.
Neurocomputing
Héctor Ruiz, Terence A. Etchells, Ian H. Jarman, José David Martín-Guerrero, Paulo J. G. Lisboa
2013 J jnl
Finding reproducible cluster partitions for the k-means algorithm.
BMC Bioinform.
Paulo J. G. Lisboa, Terence A. Etchells, Ian H. Jarman, Simon J. Chambers
2012 B conf
Constructing similarity networks using the Fisher information metric.
ESANN
Héctor Ruiz, Sandra Ortega-Martorell, Ian H. Jarman, José David Martín-Guerrero, Paulo J. G. Lisboa
2012 B conf
Towards interpretable classifiers with blind signal separation.
IJCNN
Héctor Ruiz, Ian H. Jarman, José David Martín-Guerrero, Sandra Ortega-Martorell, Alfredo Vellido, Enrique Romero, Paulo J. G. Lisboa
2011 C conf
Clustering categorical data: A stability analysis framework.
CIDM
Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa, C. M. Beynon, José David Martín-Guerrero
2011 J jnl
Clustering of protein expression data: a benchmark of statistical and neural approaches.
Soft Comput.
Ian H. Jarman, Terence A. Etchells, Davide Bacciu, Jonathan M. Garibaldi, Ian O. Ellis, Paulo J. G. Lisboa
2011 — conf
Discovering Hidden Pathways in Bioinformatics.
CIBB
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
2011 C conf
Scenario Analysis for Local Area Life Expectancy Using Conditional Independence Maps.
DeSE
Ian H. Jarman, Terence A. Etchells, C. Perkins, M. A. Bellis, Paulo J. G. Lisboa
2011 B conf
The role of Fisher information in primary data space for neighbourhood mapping.
ESANN
Héctor Ruiz, Ian H. Jarman, José David Martín-Guerrero, Paulo J. G. Lisboa
2010 — conf
A Clinical Decision Support System for Breast Cancer Patients.
DoCEIS
Ana S. Fernandes, Pedro Alves, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Paulo J. G. Lisboa
2009 — conf
Different Methodologies for Patient Stratification Using Survival Data.
CIBB
Ana S. Fernandes, Davide Bacciu, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Paulo J. G. Lisboa
2009 J jnl
Evaluation of missing data imputation in longitudinal cohort studies in breast cancer survival.
Int. J. Knowl. Eng. Soft Data Paradigms
Ana S. Fernandes, José Manuel Fonseca, Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa, Elia Biganzoli, Chris Bajdik
2009 A* conf
Grocery shopping recommendations based on basket-sensitive random walk.
KDD
Ming Li, M. Benjamin Dias, Ian H. Jarman, Wael El-Deredy, Paulo J. G. Lisboa
2009 J jnl
How to find simple and accurate rules for viral protease cleavage specificities.
BMC Bioinform.
Thorsteinn S. Rögnvaldsson, Terence A. Etchells, Liwen You, Daniel Garwicz, Ian H. Jarman, Paulo J. G. Lisboa
2009 J jnl
Partial Logistic Artificial Neural Network for Competing Risks Regularized With Automatic Relevance Determination.
IEEE Trans. Neural Networks
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
2009 B conf
Patient stratification with competing risks by multivariate Fisher distance.
IJCNN
Davide Bacciu, Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa
2009 — ch.
Short-term time-to-event model of response to treatment following the GIMEMA protocol for Acute Myeloid Leukaemia.
Computational Intelligence and Bioengineering
Paulo J. G. Lisboa, Ian H. Jarman, Terence A. Etchells, Federico Ambrogi, Ilaria Ardoino, Marco Vignetti, Elia Biganzoli
2009 — conf
Stratification Methodologies for Neural Networks Models of Survival.
IWANN (1)
Ana S. Fernandes, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Elia Biganzoli, Chris Bajdik, Paulo J. G. Lisboa
2008 J jnl
An integrated framework for risk profiling of breast cancer patients following surgery.
Artif. Intell. Medicine
Ian H. Jarman, Terence A. Etchells, José David Martín-Guerrero, Paulo J. G. Lisboa
2008 C conf
Missing Data Imputation in Longitudinal Cohort Studies: Application of PLANN-ARD in Breast Cancer Survival.
ICMLA
Ana S. Fernandes, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Elia Biganzoli, Chris Bajdik, Paulo J. G. Lisboa
2008 — conf
Stratification of Severity of Illness Indices: A Case Study for Breast Cancer Prognosis.
KES (2)
Terence A. Etchells, Ana S. Fernandes, Ian H. Jarman, José Manuel Fonseca, Paulo J. G. Lisboa
2008 J jnl
Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer.
Neural Networks
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
2007 Misc conf
A Prototype Integrated Decision Support System for Breast Cancer Oncology.
IWANN
Paulo J. G. Lisboa, Ian H. Jarman, Terence A. Etchells, Phillip Ramsey
2007 B conf
Assessing flexible models and rule extraction from censored survival data.
IJCNN
Paulo J. G. Lisboa, Elia Biganzoli, Azzam F. Taktak, Terence A. Etchells, Ian H. Jarman, M. S. Hane Aung, Federico Ambrogi
2007 B conf
Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer.
IJCNN
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