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ORCIDManuel Martín-Merino
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2020 – today
- 2024
[j5]Alfonso José López Rivero
, Carlos Chinchilla Corbacho, Tatiana Romero Arias, Manuel Martín-Merino, Paulo Váz:
Application of Machine Learning Techniques for the Characterization and Early Diagnosis of Respiratory Diseases Such as COVID-19. IEEE Access 12: 160516-160528 (2024)- 2022
- [j4]Manuel Martín-Merino, Alfonso José López Rivero, Vidal Alonso, Marcelo Vallejo García, Antonio Ferreras:
A Clustering Algorithm Based on an Ensemble of Dissimilarities: An Application in the Bioinformatics Domain. Int. J. Interact. Multim. Artif. Intell. 7(6): 6 (2022)
2010 – 2019
- 2013
- [c28]Manuel Martín-Merino:
A kernel SVM algorithm to detect mislabeled microarrays in human cancer samples. BIBE 2013: 1-4 - 2011
- [c27]Manuel Martín-Merino:
A semi-supervised clustering algorithm that integrates heterogeneous dissimilarities and data sources. IJCNN 2011: 1732-1739 - [c26]Manuel Martín-Merino:
Fusing Heterogeneous Data Sources Considering a Set of Equivalence Constraints. IWANN (1) 2011: 89-96 - 2010
- [c25]Manuel Martín-Merino:
Learning a Combination of Heterogeneous Dissimilarities from Incomplete Knowledge. ICANN (3) 2010: 62-71 - [c24]Manuel Martín-Merino:
Learning a Combination of Dissimilarities from a Set of Equivalence Constraints. ICDM Workshops 2010: 41-48 - [c23]Manuel Martín-Merino:
Semi-supervised Clustering Using Heterogeneous Dissimilarities. SSPR/SPR 2010: 375-384
2000 – 2009
- 2009
- [j3]Manuel Martín-Merino, Ángela Blanco:
A local semi-supervised Sammon algorithm for textual data visualization. J. Intell. Inf. Syst. 33(1): 23-40 (2009) - [c22]Manuel Martín-Merino, Javier De Las Rivas:
Kernel Alignment k-NN for Human Cancer Classification Using the Gene Expression Profiles. ICANN (2) 2009: 195-204 - [c21]Manuel Martín-Merino, Javier De Las Rivas:
Improving k-NN for Human Cancer Classification Using the Gene Expression Profiles. IDA 2009: 107-118 - [r1]Ángela Blanco, Manuel Martín-Merino:
Ensemble of SVM Classifiers for Spam Filtering. Encyclopedia of Artificial Intelligence 2009: 561-566 - 2008
- [c20]Ángela Blanco, Manuel Martín-Merino, Javier De Las Rivas:
Classification of multiple cancer types in a Hyper Reproducing Kernel Hilbert Space. BIBE 2008: 1-5 - [c19]Ángela Blanco, Manuel Martín-Merino, Javier De Las Rivas:
Combining Dissimilarities in a Hyper Reproducing Kernel Hilbert Space for Complex Human Cancer Prediction. ICMLA 2008: 33-39 - [p1]Ángela Blanco, Manuel Martín-Merino, Javier De Las Rivas:
Ensemble of Support Vector Machines to Improve the Cancer Class Prediction Based on the Gene Expression Profiles. Innovations in Hybrid Intelligent Systems 2008: 393-400 - 2007
- [j2]Ángela Blanco, Manuel Martín-Merino, Javier De Las Rivas:
Combining dissimilarity based classifiers for cancer prediction using gene expression profiles. BMC Bioinform. 8(S-8) (2007) - [c18]Ángela Blanco, Manuel Martín-Merino, Javier De Las Rivas:
Ensemble of Kernel Based Classifiers to Improve the Human Cancer Prediction using DNA Microarrays. BIBE 2007: 1011-1018 - [c17]Ángela Blanco, Manuel Martín-Merino, Javier De Las Rivas:
On the Combination of Dissimilarities for Gene Expression Data Analysis. ICANN (2) 2007: 110-119 - [c16]Ángela Blanco, Manuel Martín-Merino:
Semi-supervised Metrics for Textual Data Visualization. ICANN (2) 2007: 435-444 - [c15]Ángela Blanco, Manuel Martín-Merino:
A Partially Supervised Metric Multidimensional Scaling Algorithm for Textual Data Visualization. IDA 2007: 252-262 - [c14]Ángela Blanco, Alba María Ricket, Manuel Martín-Merino:
Combining SVM Classifiers for Email Anti-spam Filtering. IWANN 2007: 903-910 - [c13]Ángela Blanco, Manuel Martín-Merino:
Boosting Support Vector Machines Using Multiple Dissimilarities. KES (1) 2007: 140-147 - [c12]Ángela Blanco, Manuel Martín-Merino, Javier De Las Rivas:
Ensemble of Dissimilarity Based Classifiers for Cancerous Samples Classification. PRIB 2007: 178-188 - 2006
- [c11]Manuel Martín-Merino, Jesus Román:
Electricity Load Forecasting Using Self Organizing Maps. ICANN (2) 2006: 709-716 - [c10]Manuel Martín-Merino, Jesus Román:
A New SOM Algorithm for Electricity Load Forecasting. ICONIP (1) 2006: 995-1003 - [c9]Manuel Martín-Merino, Jesus Román:
A New Semi-supervised Dimension Reduction Technique for Textual Data Analysis. IDEAL 2006: 654-662 - 2005
- [j1]Manuel Martín-Merino, Alberto Muñoz:
Visualizing asymmetric proximities with SOM and MDS models. Neurocomputing 63: 171-192 (2005) - [c8]Manuel Martín-Merino, Alberto Muñoz:
Extending the SOM Algorithm to Visualize Word Relationships. IDA 2005: 228-238 - 2004
- [c7]Manuel Martín-Merino, Alberto Muñoz:
Representing hierarchical relationships using a modified Asymmetric SOM Algorithm. ESANN 2004: 231-238 - [c6]Manuel Martín-Merino, Alberto Muñoz:
Extending the SOM Algorithm to Non-Euclidean Distances via the Kernel Trick. ICONIP 2004: 150-157 - [c5]Manuel Martín-Merino, Alberto Muñoz:
A New MDS Algorithm for Textual Data Analysis. ICONIP 2004: 860-867 - [c4]Manuel Martín-Merino, Alberto Muñoz:
A New Sammon Algorithm for Sparse Data Visualization. ICPR (1) 2004: 477-481 - 2003
- [c3]Alberto Muñoz, Manuel Martín-Merino:
Visualizing asymmetric proximities with MDS models. ESANN 2003: 51-58 - 2002
- [c2]Javier M. Moguerza, Alberto Muñoz, Manuel Martín-Merino:
Detecting the Number of Clusters Using a Support Vector Machine Approach. ICANN 2002: 763-768 - 2001
- [c1]Manuel Martín-Merino, Alberto Muñoz:
Self Organizing Map and Sammon Mapping for Asymmetric Proximities. ICANN 2001: 429-435
Coauthor Index
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