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Items: 7

1.

Prediction of patient evolution in terms of Clinical Risk Groups form routinely collected data using machine learning.

de Toledo P, Perez-Rodriguez R, de Miguel P, Sanchis A, Serrano P.

Conf Proc IEEE Eng Med Biol Soc. 2019 Jul;2019:1721-1724. doi: 10.1109/EMBC.2019.8857625.

PMID:
31946229
2.

A Two-Stage Combining Classifier Model for the Development of Adaptive Dialog Systems.

Griol D, Iglesias JA, Ledezma A, Sanchis A.

Int J Neural Syst. 2016 Feb;26(1):1650002. doi: 10.1142/S0129065716500027. Epub 2015 Nov 4.

PMID:
26678250
3.

Predicting Protein Relationships to Human Pathways through a Relational Learning Approach Based on Simple Sequence Features.

García-Jiménez B, Pons T, Sanchis A, Valencia A.

IEEE/ACM Trans Comput Biol Bioinform. 2014 Jul-Aug;11(4):753-65. doi: 10.1109/TCBB.2014.2318730.

PMID:
26356345
4.

Activity recognition using hybrid generative/discriminative models on home environments using binary sensors.

Ordóñez FJ, de Toledo P, Sanchis A.

Sensors (Basel). 2013 Apr 24;13(5):5460-77. doi: 10.3390/s130505460.

5.

Simulating visual qualia in the CERA-CRANIUM cognitive architecture.

Arrabales R, Ledezma A, Sanchis A.

Adv Exp Med Biol. 2011;718:223-38. doi: 10.1007/978-1-4614-0164-3_18.

PMID:
21744222
6.

Human activity recognition based on Evolving Fuzzy Systems.

Iglesias JA, Angelov P, Ledezma A, Sanchis A.

Int J Neural Syst. 2010 Oct;20(5):355-64.

PMID:
20945515
7.

Predicting the outcome of patients with subarachnoid hemorrhage using machine learning techniques.

de Toledo P, Rios PM, Ledezma A, Sanchis A, Alen JF, Lagares A.

IEEE Trans Inf Technol Biomed. 2009 Sep;13(5):794-801. doi: 10.1109/TITB.2009.2020434. Epub 2009 Apr 14.

PMID:
19369161

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