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Paulo J. G. Lisboa
- > Home > Persons > Paulo J. G. Lisboa
Publications
- 2021
- [j56]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): 7521-7539 (2021) - 2020
- [j54]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: 105567 (2020) - 2019
- [c75]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: 1-7 - [i5]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 abs/1902.05578 (2019) - 2017
- [j51]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: 127-141 (2017) - 2016
- [c65]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 - [c64]José David Martín-Guerrero, Paulo J. G. Lisboa, Alfredo Vellido:
Physics and Machine Learning: Emerging Paradigms. ESANN 2016 - 2015
- [j49]Paulo J. G. Lisboa, José David Martín-Guerrero, Alfredo Vellido:
Making nonlinear manifold learning models interpretable: The manifold grand tour. Expert Syst. Appl. 42(22): 8982-8988 (2015) - 2013
- [j41]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: 79-91 (2013) - 2012
- [c54]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 - [c53]Alfredo Vellido, José David Martín-Guerrero, Paulo J. G. Lisboa:
Making machine learning models interpretable. ESANN 2012 - [c51]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: 1-7 - 2011
- [c48]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: 58-65 - [c46]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 - [c45]Alfredo Vellido, José David Martín-Guerrero, Fabrice Rossi, Paulo J. G. Lisboa:
Seeing is believing: The importance of visualization in real-world machine learning applications. ESANN 2011 - 2010
- [j32]Paulo J. G. Lisboa, Alfredo Vellido, Roberto Tagliaferri, Francesco Napolitano, Michele Ceccarelli, José David Martín-Guerrero, Elia Biganzoli:
Data Mining in Cancer Research [Application Notes]. IEEE Comput. Intell. Mag. 5(1): 14-18 (2010) - [c40]Paulo J. G. Lisboa, Alfredo Vellido, José David Martín-Guerrero:
Computational Intelligence in biomedicine: Some contributions. ESANN 2010 - 2009
- [r1]José David Martín-Guerrero, Emilio Soria-Olivas, Paulo J. G. Lisboa, Antonio J. Serrano-López:
An AI Walk from Pharmacokinetics to A Marketing. Encyclopedia of Artificial Intelligence 2009: 71-75 - 2008
- [j24]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): 165-188 (2008) - 2007
- [j19]José David Martín-Guerrero, Paulo J. G. Lisboa, Emilio Soria-Olivas, Alberto Palomares, Emili Balaguer:
An approach based on the Adaptive Resonance Theory for analysing the viability of recommender systems in a citizen Web portal. Expert Syst. Appl. 33(3): 743-753 (2007)
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