Publications

@article{CORREAGHISAYS201931,

title = {Visual memory dysfunction as a neurocognitive endophenotype in bipolar disorder patients and their unaffected relatives. Evidence from a 5-year follow-up Valencia study.},

author = {Patricia Correa-Ghisays and Joan Vicent S\'{a}nchez-Ort\'{i} and Rosa Ayesa-Arriola and Esther Seti\'{e}n-Suero and Vicent Balanz\'{a}-Mart\'{i}nez and Gabriel Selva-Vera and Juan Carlos Ruiz-Ruiz and Joan Vila-Franc\'{e}s and Anabel Martinez-Aran and Juliana Vivas-Lalinde and Candela Conforte-Molina and Constanza San-Mart\'{i}n and Carlos Mart\'{i}nez-P\'{e}rez and Inmaculada Fuentes-Dur\'{a} and Benedicto Crespo-Facorro and Rafael Tabar\'{e}s-Seisdedos},

url = {http://www.sciencedirect.com/science/article/pii/S0165032719309838},

doi = {10.1016/j.jad.2019.06.059},

issn = {0165-0327},

year  = {2019},

date = {2019-01-01},

journal = {Journal of Affective Disorders},

volume = {257},

pages = {31 - 37},

abstract = {Background 

Scarce research has focused on Visual Memory (VM) deficits as a possible neurocognitive endophenotype of bipolar disorder (BD). The main aim of this longitudinal, family study with healthy controls was to explore whether VM dysfunction represents a neurocognitive endophenotype of BD. 

Methods 

Assessment of VM by Rey\textendashOsterrieth Complex Figure Test (ROCF) was carried out on a sample of 317 subjects, including 140 patients with BD, 60 unaffected first-degree relatives (BD-Rel), and 117 genetically-unrelated healthy controls (HC), on three occasions over a 5-year period (T1, T2, and T3). BD-Rel group scores were analyzed only at T1 and T2. 

Results Performance of BD patients was significantly worse than the HC group (p \< 0.01). Performance of BD-Rel was also significantly different from HC scores at T1 (p \< 0.01) and T2 (p = 0.05), and showed an intermediate profile between the BD and HC groups. Only among BD patients, there were significant differences according to sex, with females performing worse than males (p = 0.03). Regarding other variables, education represented significant differences only in average scores of BD-Rel group (p = 0.01). 

Limitations 

Important attrition in BD-Rel group over time was detected, which precluded analysis at T3. 

Conclusions 

BD patients show significant deficits in VM that remain stable over time, even after controlling sociodemographic and clinical variables. Unaffected relatives also show stable deficits in VM. Accordingly, the deficit in VM could be considered a potential endophenotype of BD, which in turn may be useful as a predictor of the evolution of the disease. Further studies are needed to confirm these findings.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{correa2019visual,

title = {Visual memory dysfunction as a neurocognitive endophenotype in bipolar disorder patients and their unaffected relatives. Evidence from a 5-year follow-up Valencia study.},

author = {Patricia Correa-Ghisays and Joan Vicent S\'{a}nchez-Ort{'i} and Rosa Ayesa-Arriola and Esther Seti\'{e}n-Suero and Vicent Balanz\'{a}-Mart{'i}nez and Gabriel Selva-Vera and Juan Carlos Ruiz-Ruiz and Joan Vila-Franc\'{e}s and Anabel Martinez-Aran and Juliana Vivas-Lalinde and others},

year  = {2019},

date = {2019-01-01},

journal = {Journal of affective disorders},

volume = {257},

pages = {31--37},

publisher = {Elsevier},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Bianchi2018,

title = {The peer review game: an agent-based model of scientists facing resource constraints and institutional pressures},

author = {Federico Bianchi and Francisco Grimaldo and Giangiacomo Bravo and Flaminio Squazzoni},

url = {https://doi.org/10.1007/s11192-018-2825-4},

doi = {10.1007/s11192-018-2825-4},

issn = {1588-2861},

year  = {2018},

date = {2018-09-01},

journal = {Scientometrics},

volume = {116},

number = {3},

pages = {1401--1420},

abstract = {This paper looks at peer review as a cooperation dilemma through a game-theory framework. We built an agent-based model to estimate how much the quality of peer review is influenced by different resource allocation strategies followed by scientists dealing with multiple tasks, i.e., publishing and reviewing. We assumed that scientists were sensitive to acceptance or rejection of their manuscripts and the fairness of peer review to which they were exposed before reviewing. We also assumed that they could be realistic or excessively over-confident about the quality of their manuscripts when reviewing. Furthermore, we assumed they could be sensitive to competitive pressures provided by the institutional context in which they were embedded. Results showed that the bias and quality of publications greatly depend on reviewer motivations but also that context pressures can have a negative effect. However, while excessive competition can be detrimental to minimising publication bias, a certain level of competition is instrumental to ensure the high quality of publication especially when scientists accept reviewing for reciprocity motives.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Grimaldo2018,

title = {Reputation or peer review? The role of outliers},

author = {Francisco Grimaldo and Mario Paolucci and Jordi Sabater-Mir},

url = {https://doi.org/10.1007/s11192-018-2826-3},

doi = {10.1007/s11192-018-2826-3},

issn = {1588-2861},

year  = {2018},

date = {2018-09-01},

journal = {Scientometrics},

volume = {116},

number = {3},

pages = {1421--1438},

abstract = {We present an agent-based model of paper publication and consumption that allows to study the effect of two different evaluation mechanisms, peer review and reputation, on the quality of the manuscripts accessed by a scientific community. The model was empirically calibrated on two data sets, mono- and multi-disciplinary. Our results point out that disciplinary settings differ in the rapidity with which they deal with extreme events---papers that have an extremely high quality, that we call outliers. In the mono-disciplinary case, reputation is better than traditional peer review to optimize the quality of papers read by researchers. In the multi-disciplinary case, if the quality landscape is relatively flat, a reputation system also performs better. In the presence of outliers, peer review is more effective. Our simulation suggests that a reputation system could perform better than peer review as a scientific information filter for quality except when research is multi-disciplinary and in a field where outliers exist.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{BRAVO2018101,

title = {Hidden connections: Network effects on editorial decisions in four computer science journals},

author = {Giangiacomo Bravo and Mike Farjam and Francisco Grimaldo Moreno and Aliaksandr Birukou and Flaminio Squazzoni},

url = {http://www.sciencedirect.com/science/article/pii/S1751157717303176},

doi = {10.1016/j.joi.2017.12.002},

issn = {1751-1577},

year  = {2018},

date = {2018-01-01},

journal = {Journal of Informetrics},

volume = {12},

number = {1},

pages = {101 - 112},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1371/journal.pone.0193148,

title = {Fragments of peer review: A quantitative analysis of the literature (1969-2015)},

author = {Francisco Grimaldo and Ana Maru\v{s}i\'{c} and Flaminio Squazzoni},

url = {https://doi.org/10.1371/journal.pone.0193148},

doi = {10.1371/journal.pone.0193148},

year  = {2018},

date = {2018-01-01},

journal = {PLOS ONE},

volume = {13},

number = {2},

pages = {1-14},

publisher = {Public Library of Science},

abstract = {This paper examines research on peer review between 1969 and 2015 by looking at records indexed from the Scopus database. Although it is often argued that peer review has been poorly investigated, we found that the number of publications in this field doubled from 2005. A half of this work was indexed as research articles, a third as editorial notes and literature reviews and the rest were book chapters or letters. We identified the most prolific and influential scholars, the most cited publications and the most important journals in the field. Co-authorship network analysis showed that research on peer review is fragmented, with the largest group of co-authors including only 2.1% of the whole community. Co-citation network analysis indicated a fragmented structure also in terms of knowledge. This shows that despite its central role in research, peer review has been examined only through small-scale research projects. Our findings would suggest that there is need to encourage collaboration and knowledge sharing across different research communities.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{DBLP:journals/sensors/MateoSCBQP18,

title = {HemoKinect: A Microsoft Kinect V2 Based Exergaming Software to  Supervise Physical Exercise of Patients with Hemophilia},

author = {Fernando Mateo and Emilio Soria and Juan Jos\'{e} and Santiago Bonanad and Felipe Querol and Sof\'{i}a P\'{e}rez},

url = {https://doi.org/10.3390/s18082439},

doi = {10.3390/s18082439},

year  = {2018},

date = {2018-01-01},

journal = {Sensors},

volume = {18},

number = {8},

pages = {2439},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{vidal2018duration,

title = {Duration of euthymia and predominant polarity in bipolar disorder},

author = {Sonia LL Vidal-Rubio and Vicent Balanz\'{a}-Mart\'{i}nez and Mar\'{i}a Cuenca and Joan Vila-Franc\'{e}s and Eduard Vieta and Jos\'{e} E Romeu},

year  = {2018},

date = {2018-01-01},

journal = {Journal of affective disorders},

volume = {241},

pages = {356--359},

publisher = {Elsevier},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Mart\'{i}nez-Mart\'{i}nez2017,

title = {Use of SOMs for footwear comfort evaluation},

author = {Jos\'{e} M. Mart\'{i}nez-Mart\'{i}nez and Jos\'{e} D. Mart\'{i}n-Guerrero and Emilio Soria-Olivas and Jos\'{e} A. Bernabeu and Pablo Escandell-Montero and Rafael Hern\'{a}ndez Stark and Antonio J. Serrano-L\'{o}pez and Enrique Montiel},

url = {http://dx.doi.org/10.1007/s00521-015-2139-x},

doi = {10.1007/s00521-015-2139-x},

issn = {1433-3058},

year  = {2017},

date = {2017-07-01},

journal = {Neural Computing and Applications},

volume = {28},

number = {7},

pages = {1763--1773},

abstract = {The comfort in footwear is essential because the foot is one of the structures of the human body that supports more weight. Moreover, consumers are demanding ever higher and higher levels of comfort and functionality in shoes. Hence, the analysis of the comfort in the footwear industry is of great interest. This paper proposes the use of SOMs to qualitatively evaluate data related to comfort in footwear provided by the Spanish Technological Institute for Footwear and Related Industries. This work also studies which factors can be decisive when buying footwear, revealing interesting hidden relationships and qualitative patterns. For this purpose, the features that may play a relevant role in this framework, and the crucial relationships between them are studied for the comfort of a given shoe. This study tries to find the way of jointly representing comfort valuations for different areas of the foot with different variables (related to physical characteristics of the testers and characteristics or physical measures of foot-footwear) in order to find out if there is a difference between buying/not buying groups.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Lorente2017342,

title = {A framework for modelling the biomechanical behaviour of the human liver during breathing in real time using machine learning},

author = {D. Lorente and F. Mart\'{i}nez-Mart\'{i}nez and M.J. Rup\'{e}rez and M.A. Lago and M. Mart\'{i}nez-Sober and P. Escandell-Montero and J.M. Mart\'{i}nez-Mart\'{i}nez and S. Mart\'{i}nez-Sanchis and A.J. Serrano-L\'{o}pez and C. Monserrat and J.D. Mart\'{i}n-Guerrero},

url = {http://www.sciencedirect.com/science/article/pii/S0957417416306728},

doi = {http://dx.doi.org/10.1016/j.eswa.2016.11.037},

issn = {0957-4174},

year  = {2017},

date = {2017-01-01},

journal = {Expert Systems with Applications},

volume = {71},

pages = {342 - 357},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{CASANAESLAVA2017127,

title = {Quantum clustering in non-spherical data distributions: Finding a suitable number of clusters},

author = {Ra\'{u}l V Casa\~{n}a-Eslava and Ian H Jarman and Paulo J G Lisboa and Jos\'{e} D Mart\'{i}n-Guerrero},

url = {http://www.sciencedirect.com/science/article/pii/S0925231217307518},

doi = {http://dx.doi.org/10.1016/j.neucom.2017.01.102},

issn = {0925-2312},

year  = {2017},

date = {2017-01-01},

journal = {Neurocomputing},

volume = {268},

pages = {127 - 141},

note = {Advances in artificial neural networks, machine learning and computational intelligence},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{lamata_arxivquph_2017,

title = {Quantum Autoencoders via Quantum Adders with Genetic Algorithms},

author = {Lucas Lamata and Unai Alvarez-Rodriguez and Jos\'{e} D Mart\'{i}n-Guerrero and Mikel Sanz and Enrique Solano},

url = {https://arxiv.org/abs/1709.07409},

year  = {2017},

date = {2017-01-01},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{gandia,

title = {Use of self-organizing maps for analyzing the behavior of canines displaced towards midline under interceptive treatment},

author = {Vicente Gand\'{i}a-Aguil\'{o} and Rosa Cibri\'{a}n and Emilio Soria and Antonio Jos\'{e} Serrano and Luz Aguil\'{o} and Vanessa Paredes and Jose-Luis Gand\'{i}a},

year  = {2017},

date = {2017-01-01},

journal = {Med Oral Patol Oral Cir Bucal},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{filipo,

title = {The PHES battery does not detect all cirrhotic patients with early neurological deficits, which are different in different patients},

author = {Carla Gim\'{e}nez-Garz\'{o} and Juan Jos\'{e} Garc\'{e}s and Amparo Urios and Alba Mangas-Losada and Raquel Garc\'{i}a-Garc\'{i}a and Olga Gonz\'{a}lez-L\'{o}pez and Remedios Giner-Dur\'{a}n and Desamparados Escudero-Garc\'{i}a and Miguel Angel Serra and Emilio Soria and Vicente Felipo and Carmina Montoliu},

year  = {2017},

date = {2017-01-01},

journal = {PLOS ONE},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{CORREAGHISAYS2017156,

title = {Manual motor speed dysfunction as a neurocognitive endophenotype in euthymic bipolar disorder patients and their healthy relatives. Evidence from a 5-year follow-up study},

author = {P Correa-Ghisays and Balanz\'{a}-Mart\'{i}nez and G Selva-Vera and J Vila-Franc\'{e}s and E Soria-Olivas and J Vivas-Lalinde and C San Mart\'{i}n and AM Borr\'{a}s and R Ayesa-Arriola and J Sanchez-Moreno and J S\'{a}nchez and B Crespo-Facorro and E Vieta and R Tabar\'{e}s-Seisdedos},

url = {http://www.sciencedirect.com/science/article/pii/S0165032716323151},

doi = {https://doi.org/10.1016/j.jad.2017.03.041},

issn = {0165-0327},

year  = {2017},

date = {2017-01-01},

journal = {Journal of Affective Disorders},

volume = {215},

number = {Supplement C},

pages = {156 - 162},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{qw_sr2017,

title = {Supervised Quantum Learning without Measurements},

author = {Unai Alvarez-Rodriguez and Pablo Escandell-Montero and Jos\'{e} D Mart\'{i}n-Guerrero and Enrique Solano},

url = {https://www.nature.com/articles/s41598-017-13378-0},

year  = {2017},

date = {2017-01-01},

journal = {Scientific Reports},

number = {7, article number 13645},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{MARTINEZMARTINEZ2017116,

title = {A finite element-based machine learning approach for modeling the mechanical behavior of the breast tissues under compression in real-time},

author = {F Mart\'{i}nez-Mart\'{i}nez and M J Rup\'{e}rez-Moreno and M Mart\'{i}nez-Sober and J A Solves-Llorens and D Lorente and A J Serrano-L\'{o}pez and S Mart\'{i}nez-Sanchis and C Monserrat and J D Mart\'{i}n-Guerrero},

url = {http://www.sciencedirect.com/science/article/pii/S0010482517303177},

doi = {https://doi.org/10.1016/j.compbiomed.2017.09.019},

issn = {0010-4825},

year  = {2017},

date = {2017-01-01},

journal = {Computers in Biology and Medicine},

volume = {90},

number = {Supplement C},

pages = {116 - 124},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{DBLP:journals/ijprai/Lopez-InestaGA17,

title = {Learning Similarity Scores by Using a Family of Distance Functions  in Multiple Feature Spaces},

author = {Emilia L\'{o}pez-I\~{n}esta and Francisco Grimaldo and Miguel Arevalillo-Herr\'{a}ez},

url = {https://doi.org/10.1142/S0218001417500276},

doi = {10.1142/S0218001417500276},

year  = {2017},

date = {2017-01-01},

journal = {IJPRAI},

volume = {31},

number = {8},

pages = {1--21},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{DBLP:journals/prl/Lopez-InestaGA17,

title = {Combining feature extraction and expansion to improve classification  based similarity learning},

author = {Emilia L\'{o}pez-I\~{n}esta and Francisco Grimaldo and Miguel Arevalillo-Herr\'{a}ez},

url = {https://doi.org/10.1016/j.patrec.2016.11.005},

doi = {10.1016/j.patrec.2016.11.005},

year  = {2017},

date = {2017-01-01},

journal = {Pattern Recognition Letters},

volume = {93},

pages = {95--103},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1371/journal.pone.0148938,

title = {Performance of a Predictive Model for Long-Term Hemoglobin Response to Darbepoetin and Iron Administration in a Large Cohort of Hemodialysis Patients},

author = {Carlo Barbieri and Elena Bolzoni and Flavio Mari and Isabella Cattinelli and Francesco Bellocchio and Jos\'{e} D. Martin and Claudia Amato and Andrea Stopper and Emanuele Gatti and Iain C. Macdougall and Stefano Stuard and Bernard Canaud},

url = {http://dx.doi.org/10.1371%2Fjournal.pone.0148938},

doi = {10.1371/journal.pone.0148938},

year  = {2016},

date = {2016-01-01},

journal = {PLoS ONE},

volume = {11},

number = {3},

pages = {1-18},

publisher = {Public Library of Science},

abstract = {\<p\>Anemia management, based on erythropoiesis stimulating agents (ESA) and iron supplementation, has become an increasingly challenging problem in hemodialysis patients. Maintaining hemodialysis patients within narrow hemoglobin targets, preventing cycling outside target, and reducing ESA dosing to prevent adverse outcomes requires considerable attention from caregivers. Anticipation of the long-term response (i.e. at 3 months) to the ESA/iron therapy would be of fundamental importance for planning a successful treatment strategy. To this end, we developed a predictive model designed to support decision-making regarding anemia management in hemodialysis (HD) patients treated in center. An Artificial Neural Network (ANN) algorithm for predicting hemoglobin concentrations three months into the future was developed and evaluated in a retrospective study on a sample population of 1558 HD patients treated with intravenous (IV) darbepoetin alfa, and IV iron (sucrose or gluconate). Model inputs were the last 90 days of patients? medical history and the subsequent 90 days of darbepoetin/iron prescription. Our model was able to predict individual variation of hemoglobin concentration 3 months in the future with a Mean Absolute Error (MAE) of 0.75 g/dL. Error analysis showed a narrow Gaussian distribution centered in 0 g/dL; a root cause analysis identified intercurrent and/or unpredictable events associated with hospitalization, blood transfusion, and laboratory error or misreported hemoglobin values as the main reasons for large discrepancy between predicted versus observed hemoglobin values. Our ANN predictive model offers a simple and reliable tool applicable in daily clinical practice for predicting the long-term response to ESA/iron therapy of HD patients.\</p\>},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{EscandellMontero2016200,

title = {Online fitted policy iteration based on extreme learning machines},

author = {Pablo Escandell-Montero and Delia Lorente and Jos\'{e} M. Mart\'{i}nez-Mart\'{i}nez and Emilio Soria-Olivas and Joan Vila-Franc\'{e}s and Jos\'{e} D. Mart\'{i}n-Guerrero},

url = {http://www.sciencedirect.com/science/article/pii/S0950705116001209},

doi = {http://dx.doi.org/10.1016/j.knosys.2016.03.007},

issn = {0950-7051},

year  = {2016},

date = {2016-01-01},

journal = {Knowledge-Based Systems},

volume = {100},

pages = {200 - 211},

abstract = {Abstract Reinforcement learning (RL) is a learning paradigm that can be useful in a wide variety of real-world applications. However, its applicability to complex problems remains problematic due to different causes. Particularly important among these are the high quantity of data required by the agent to learn useful policies and the poor scalability to high-dimensional problems due to the use of local approximators. This paper presents a novel RL algorithm, called online fitted policy iteration (OFPI), that steps forward in both directions. OFPI is based on a semi-batch scheme that increases the convergence speed by reusing data and enables the use of global approximators by reformulating the value function approximation as a standard supervised problem. The proposed method has been empirically evaluated in three benchmark problems. During the experiments, OFPI has employed a neural network trained with the extreme learning machine algorithm to approximate the value functions. Results have demonstrated the stability of OFPI using a global function approximator and also performance improvements over two baseline algorithms (SARSA and Q-learning) combined with eligibility traces and a radial basis function network.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Mart\'{i}nez-Mart\'{i}nez2016,

title = {A new visualization tool for data mining techniques},

author = { Jos\'{e} M. Mart\'{i}nez-Mart\'{i}nez and Pablo Escandell-Montero and Emilio Soria-Olivas and Jos\'{e} D. Mart\'{i}n-Guerrero and Antonio J. Serrano-L\'{o}pez},

doi = {10.1007/s13748-015-0079-4},

issn = {2192-6360},

year  = {2016},

date = {2016-01-01},

journal = {Progress in Artificial Intelligence},

volume = {5},

number = {2},

pages = {137--154},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{alvarez_arxivquph_2016,

title = {Quantum Machine Learning without Measurements},

author = {Unai Alvarez-Rodriguez and Lucas Lamata and Pablo Escandell-Montero and Jos\'{e} D. Mart\'{i}n-Guerrero and Enrique Solano},

url = {https://arxiv.org/abs/1612.05535},

year  = {2016},

date = {2016-01-01},

journal = {arXiv Quantum Physics, arXiv:1612.05535},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Larroza2015,

title = {Support vector machine classification of brain metastasis and radiation necrosis based on texture analysis in MRI},

author = {Larroza, Andr\'{e}s and Moratal, David and Paredes-S\'{a}nchez, Alexandra and Soria-Olivas, Emilio and Chust, Mar\'{i}a L and Arribas, Leoncio A and Arana, Estanislao},

doi = {10.1002/jmri.24913},

year  = {2015},

date = {2015-04-01},

journal = {J Magn Reson Imaging},

abstract = {PURPOSE: To develop a classification model using texture features and support vector machine in contrast-enhanced T1-weighted images to differentiate between brain metastasis and radiation necrosis. METHODS: Texture features were extracted from 115 lesions: 32 of them previously diagnosed as radiation necrosis, 23 as radiation-treated metastasis and 60 untreated metastases; including a total of 179 features derived from six texture analysis methods. A feature selection technique based on support vector machine was used to obtain a subset of features that provide optimal performance. RESULTS: The highest classification accuracy evaluated over test sets was achieved with a subset of ten features when the untreated metastases were not considered; and with a subset of seven features when the classifier was trained with untreated metastases and tested on treated ones. Receiver operating characteristic curves provided area-under-the-curve (mean $pm$ standard deviation) of 0.94 $pm$ 0.07 in the first case, and 0.93 $pm$ 0.02 in the second. CONCLUSION: High classification accuracy (AUC \> 0.9) was obtained using texture features and a support vector machine classifier in an approach based on conventional MRI to differentiate between brain metastasis and radiation necrosis. J. Magn. Reson. Imaging 2015.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Blasco2015232,

title = {Study and simulation of the read-out electronics design for a high-resolution plastic scintillating fiber based hodoscope},

author = {Jos\'{e} Mar\'{i}a Blasco and E. Sanchis and D. Granero and J.D. Mart\'{i}n and V. Gonz\'{a}lez and E. Sanchis-S\'{a}nchez},

year  = {2015},

date = {2015-01-01},

journal = {Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment},

volume = {784},

pages = {232 - 235},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Lisboa20158982b,

title = {Making nonlinear manifold learning models interpretable: The manifold grand tour},

author = {Paulo J.G. Lisboa and Jos\'{e} D. Mart\'{i}n-Guerrero and Alfredo Vellido},

url = {http://www.sciencedirect.com/science/article/pii/S095741741500514X},

doi = {http://dx.doi.org/10.1016/j.eswa.2015.07.054},

issn = {0957-4174},

year  = {2015},

date = {2015-01-01},

journal = {Expert Systems with Applications},

volume = {42},

number = {22},

pages = {8982 - 8988},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Barbieri201556b,

title = {A new machine learning approach for predicting the response to anemia treatment in a large cohort of End Stage Renal Disease patients undergoing dialysis},

author = {Carlo Barbieri and Flavio Mari and Andrea Stopper and Emanuele Gatti and Pablo Escandell-Montero and Jos\'{e} M. Mart\'{i}nez-Mart\'{i}nez and Jos\'{e} D. Mart\'{i}n-Guerrero},

year  = {2015},

date = {2015-01-01},

journal = {Computers in Biology and Medicine},

volume = {61},

pages = {56 - 61},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Sanchis-Sanchezb,

title = {Infrared thermography is useful for ruling out fractures in paediatric emergencies},

author = {Sanchis-S\'{a}nchez, Enrique, Salvador-Palmer, Rosario, Codo\~{n}er-Franch, Pilar, Mart\'{i}n, Jos\'{e}, Vergara-Hern\'{a}ndez, Carlos, Blasco, Jos\'{e}, Ballester, Esther, Sanchis, Enrique, Gonz\'{a}lez-Pe\~{n}a, Rolando, Cibri\'{a}n, Rosa},

url = {http://dx.doi.org/10.1007/s00431-014-2425-0},

doi = {10.1007/s00431-014-2425-0},

issn = {0340-6199},

year  = {2015},

date = {2015-01-01},

journal = {European Journal of Pediatrics},

volume = {174},

number = {4},

pages = {493-499},

publisher = {Springer Berlin Heidelberg},

keywords = {},

pubstate = {published},

tppubtype = {article}

}