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  1. Book ; Online ; Conference proceedings ; E-Book: Advances in Computational Intelligence

    Rojas, Ignacio / Joya, Gonzalo / Catala, Andreu

    16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16–18, 2021, Proceedings, Part I

    (Theoretical Computer Science and General Issues, ; 12861)

    2021  

    Abstract: This two-volume set LNCS 12861 and LNCS 12862 constitutes the refereed proceedings of the 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, held virtually, in June 2021. The 85 full papers presented in this two-volume set were ...

    Author's details edited by Ignacio Rojas, Gonzalo Joya, Andreu Català
    Series title Theoretical Computer Science and General Issues, ; 12861
    Abstract This two-volume set LNCS 12861 and LNCS 12862 constitutes the refereed proceedings of the 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, held virtually, in June 2021. The 85 full papers presented in this two-volume set were carefully reviewed and selected from 134 submissions. The papers are organized in topical sections on Deep Learning for Biomedicine, Intelligent Computing Solutions for SARS-CoV-2 Covid-19, Advanced Topics in Computational Intelligence, Biosignals Processing, Neuro-Engineering and much more.
    Keywords Bioinformatics ; Computers ; Artificial intelligence ; Computer Networks ; Computer networks ; Computer systems ; Computational and Systems Biology ; Computing Milieux ; Artificial Intelligence ; Computer Communication Networks ; Computer System Implementation
    Subject code 006.3
    Language English
    Size 1 online resource (635 pages)
    Edition 1st ed. 2021.
    Publisher Springer International Publishing ; Imprint: Springer
    Publishing place Cham
    Document type Book ; Online ; Conference proceedings ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 3-030-85030-7 ; 3-030-85029-3 ; 978-3-030-85030-2 ; 978-3-030-85029-6
    DOI 10.1007/978-3-030-85030-2
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Differentiation of Saccadic Eye Movement Signals.

    Becerra-García, Roberto A / García-Bermúdez, Rodolfo / Joya, Gonzalo

    Sensors (Basel, Switzerland)

    2021  Volume 21, Issue 15

    Abstract: Saccadic electrooculograms are discrete biosignals that contain the instantaneous angular position of the human eyes as a response to saccadic visual stimuli. These signals are essential to monitor and evaluate several neurological diseases, such as ... ...

    Abstract Saccadic electrooculograms are discrete biosignals that contain the instantaneous angular position of the human eyes as a response to saccadic visual stimuli. These signals are essential to monitor and evaluate several neurological diseases, such as Spinocerebellar Ataxia type 2 (SCA2). For this, biomarkers such as peak velocity, latency and duration are computed. To compute these biomarkers, we need to obtain the velocity profile of the signals using numerical differentiation methods. These methods are affected by the noise present in the electrooculograms, specially in subjects that suffer neurological diseases. This noise complicates the comparison of the differentiation methods using real saccadic signals because of the impossibility of establishing exact saccadic onset and offset points. In this work, we evaluate 16 differentiation methods by the design of an experiment that uses synthetic saccadic electrooculograms generated from parametric models of both healthy subjects and subjects suffering from Spinocerebellar Ataxia type 2 (SCA2). For these synthetic electrooculograms the exact velocity profile is known, hence we can use them as a reference for comparison and error computing for the tasks of saccade identification and saccade biomarker computing. Finally, we identify the best fitting method or methods for each evaluated task.
    MeSH term(s) Electrooculography ; Humans ; Saccades
    Language English
    Publishing date 2021-07-24
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s21155021
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book ; Conference proceedings ; Online: Advances in computational intelligence

    Cabestany, Joan / Joya, Gonzalo / Rojas, Ignacio

    12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, Spain, June 12 - 14, 2013 ; proceedings, part I

    (Lecture notes in computer science ; 7902)

    2013  

    Abstract: This two-volume set LNCS 7902 and 7903 constitutes the refereed proceedings of the 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, held in Puerto de la Cruz, Tenerife, Spain, in June 2013. The 116 revised papers were ... ...

    Institution International Work Conference on Artificial Neural Networks
    Event/congress IWANN (12, 2013.06.12-14, PuertodelaCruz) ; International Work-Conference on Artificial Neural Networks (12, 2013.06.12-14, PuertodelaCruz)
    Author's details Ignacio Rojas; Gonzalo Joya; Joan Cabestany (eds.)
    Series title Lecture notes in computer science ; 7902
    Abstract This two-volume set LNCS 7902 and 7903 constitutes the refereed proceedings of the 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, held in Puerto de la Cruz, Tenerife, Spain, in June 2013. The 116 revised papers were carefully reviewed and selected from numerous submissions for presentation in two volumes. The papers explore sections on mathematical and theoretical methods in computational intelligence, neurocomputational formulations, learning and adaptation emulation of cognitive functions, bio-inspired systems and neuro-engineering, advanced topics in computational intelligence and applications
    Keywords Artificial intelligence ; Bioinformatics ; Computer science ; Data mining ; Optical pattern recognition
    Language English
    Size Online-Ressource (XXVIII, 661 S.)
    Publisher Springer
    Publishing place Berlin u.a.
    Document type Book ; Conference proceedings ; Online
    Note Literaturangaben
    ISBN 3642386784 ; 9783642386787 ; 9783642386794 ; 3642386792
    DOI 10.1007/978-3-642-38679-4
    Database Former special subject collection: coastal and deep sea fishing

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  4. Book ; Conference proceedings ; Online: Advances in computational intelligence

    Cabestany, Joan / Joya, Gonzalo / Rojas, Ignacio

    12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, Spain, June 12 - 14, 2013 ; proceedings, part II

    (Lecture notes in computer science ; 7903)

    2013  

    Abstract: This two-volume set LNCS 7902 and 7903 constitutes the refereed proceedings of the 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, held in Puerto de la Cruz, Tenerife, Spain, in June 2013. The 116 revised papers were ... ...

    Institution International Work Conference on Artificial Neural Networks
    Event/congress IWANN (12, 2013.06.12-14, PuertodelaCruz) ; International Work-Conference on Artificial Neural Networks (12, 2013.06.12-14, PuertodelaCruz)
    Author's details Ignacio Rojas; Gonzalo Joya; Joan Cabestany (eds.)
    Series title Lecture notes in computer science ; 7903
    Abstract This two-volume set LNCS 7902 and 7903 constitutes the refereed proceedings of the 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, held in Puerto de la Cruz, Tenerife, Spain, in June 2013. The 116 revised papers were carefully reviewed and selected from numerous submissions for presentation in two volumes. The papers explore sections on mathematical and theoretical methods in computational intelligence, neurocomputational formulations, learning and adaptation emulation of cognitive functions, bio-inspired systems and neuro-engineering, advanced topics in computational intelligence and applications
    Keywords Artificial intelligence ; Bioinformatics ; Computer science ; Data mining ; Optical pattern recognition
    Language English
    Size Online-Ressource (XXVII, 517 S.)
    Publisher Springer
    Publishing place Berlin u.a.
    Document type Book ; Conference proceedings ; Online
    Note Literaturangaben
    ISBN 3642386814 ; 9783642386817 ; 9783642386824 ; 3642386822
    DOI 10.1007/978-3-642-38682-4
    Database Former special subject collection: coastal and deep sea fishing

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    Inter-library loan at ZB MED

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  5. Book ; Conference proceedings: Advances in computational intelligence

    Cabestany, Joan / Joya, Gonzalo / Rojas, Ignacio

    : 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, Spain, June 12 - 14, 2013; proceedings

    (Lecture notes in computer science ; 7903)

    2013  

    Institution International Work Conference on Artificial Neural Networks
    Event/congress IWANN 2013 (12, 2013.06.12-14, PuertodelaCruzTenerife) ; International Work-Conference on Artificial Neural Networks (12, 2013.06.12-14, PuertodelaCruzTenerife)
    Author's details Ignacio Rojas; Gonzalo Joya; Joan Cabestany (eds.)
    Series title Lecture notes in computer science ; 7903
    Language English
    Size XXVII, 517 S, 235 mm x 155 mm
    Publisher Springer
    Publishing place Berlin u.a.
    Document type Book ; Conference proceedings
    ISBN 3642386814 ; 978364236824 ; 9783642386817 ; 9783642368240 ; 3642368247
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  6. Book ; Conference proceedings: Advances in computational intelligence

    Cabestany, Joan / Joya, Gonzalo / Rojas, Ignacio

    12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, Spain, June 12 - 14, 2013 ; proceedings

    (Lecture notes in computer science ; ...)

    2013  

    Institution International Work Conference on Artificial Neural Networks
    Event/congress IWANN 2013 (12, 2013.06.12-14, PuertodelaCruzTenerife) ; International Work-Conference on Artificial Neural Networks (12, 2013.06.12-14, PuertodelaCruzTenerife)
    Author's details Ignacio Rojas; Gonzalo Joya; Joan Cabestany (eds.)
    Series title Lecture notes in computer science
    ...
    Language English
    Publisher Springer
    Publishing place Berlin u.a.
    Document type Book ; Conference proceedings
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

    More links

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    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  7. Book ; Conference proceedings: Advances in computational intelligence

    Cabestany, Joan / Joya, Gonzalo / Rojas, Ignacio

    : 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, Spain, June 12 - 14, 2013; proceedings

    (Lecture notes in computer science ; 7902)

    2013  

    Institution International Work Conference on Artificial Neural Networks
    Event/congress IWANN 2013 (12, 2013.06.12-14, PuertodelaCruzTenerife) ; International Work-Conference on Artificial Neural Networks (12, 2013.06.12-14, PuertodelaCruzTenerife)
    Author's details Ignacio Rojas; Gonzalo Joya; Joan Cabestany (eds.)
    Series title Lecture notes in computer science ; 7902
    Language English
    Size XXVIII, 661 S, 235 mm x 155 mm
    Publisher Springer
    Publishing place Berlin u.a.
    Document type Book ; Conference proceedings
    ISBN 3642386784 ; 9783642386787 ; 9783642386794 ; 3642386792
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

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  8. Article ; Online: Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals.

    Stoean, Catalin / Stoean, Ruxandra / Atencia, Miguel / Abdar, Moloud / Velázquez-Pérez, Luis / Khosravi, Abbas / Nahavandi, Saeid / Acharya, U Rajendra / Joya, Gonzalo

    Sensors (Basel, Switzerland)

    2020  Volume 20, Issue 11

    Abstract: Application of deep learning (DL) to the field of healthcare is aiding clinicians to make an accurate diagnosis. DL provides reliable results for image processing and sensor interpretation problems most of the time. However, model uncertainty should also ...

    Abstract Application of deep learning (DL) to the field of healthcare is aiding clinicians to make an accurate diagnosis. DL provides reliable results for image processing and sensor interpretation problems most of the time. However, model uncertainty should also be thoroughly quantified. This paper therefore addresses the employment of Monte Carlo dropout within the DL structure to automatically discriminate presymptomatic signs of spinocerebellar ataxia type 2 in saccadic samples obtained from electrooculograms. The current work goes beyond the common incorporation of this special type of dropout into deep neural networks and uses the uncertainty derived from the validation samples to construct a decision tree at the register level of the patients. The decision tree built from the uncertainty estimates obtained a classification accuracy of 81.18% in automatically discriminating control, presymptomatic and sick classes. This paper proposes a novel method to address both uncertainty quantification and explainability to develop reliable healthcare support systems.
    MeSH term(s) Decision Trees ; Electrooculography ; Humans ; Image Processing, Computer-Assisted ; Monte Carlo Method ; Neural Networks, Computer ; Spinocerebellar Ataxias/diagnosis
    Language English
    Publishing date 2020-05-27
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s20113032
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: A hybrid unsupervised-Deep learning tandem for electrooculography time series analysis.

    Stoean, Ruxandra / Stoean, Catalin / Becerra-García, Roberto / García-Bermúdez, Rodolfo / Atencia, Miguel / García-Lagos, Francisco / Velázquez-Pérez, Luis / Joya, Gonzalo

    PloS one

    2020  Volume 15, Issue 7, Page(s) e0236401

    Abstract: Medical data are often tricky to get mined for patterns even by the generally demonstrated successful modern methodologies of deep learning. This paper puts forward such a medical classification task, where patient registers of two of the categories are ... ...

    Abstract Medical data are often tricky to get mined for patterns even by the generally demonstrated successful modern methodologies of deep learning. This paper puts forward such a medical classification task, where patient registers of two of the categories are sometimes hard to be distinguished because of samples showing characteristics of both labels in turn in several repetitions of the screening procedure. To this end, the current research appoints a pre-processing clustering step (through self-organizing maps) to group the data based on shape similarity and relabel it accordingly. Subsequently, a deep learning approach (a tandem of convolutional and long short-term memory networks) performs the training classification phase on the 'cleaned' samples. The dual methodology was applied for the computational diagnosis of electrooculography tests within spino-cerebral ataxia of type 2. The accuracy obtained for the discrimination into three classes was of 78.24%. The improvement that this duo brings over the deep learner alone does not stem from significantly higher accuracy results when the performance is considered for all classes. The major finding of this combination is that half of the presymptomatic cases were correctly found, in opposition to the single deep model, where this category was sacrificed by the learner in favor of a good accuracy overall. A high accuracy in general is desirable for any medical task, however the correct identification of cases before the symptoms become evident is more important.
    MeSH term(s) Algorithms ; Cluster Analysis ; Databases as Topic ; Deep Learning ; Electrooculography ; Humans ; Neural Networks, Computer ; Photic Stimulation ; Saccades/physiology ; Time Factors ; Unsupervised Machine Learning
    Language English
    Publishing date 2020-07-21
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1932-6203
    ISSN (online) 1932-6203
    DOI 10.1371/journal.pone.0236401
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Book ; Conference proceedings ; Online: Advances in Computational Intelligence

    Cabestany, Joan / Joya, Gonzalo / Rojas, Ignacio

    11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part I

    (Lecture Notes in Computer Science ; 6691 ; SpringerLink)

    2011  

    Author's details edited by Joan Cabestany, Ignacio Rojas, Gonzalo Joya
    Series title Lecture Notes in Computer Science ; 6691
    SpringerLink
    Language English
    Size Online-Ressource
    Publisher Springer Berlin Heidelberg
    Publishing place Berlin, Heidelberg
    Document type Book ; Conference proceedings ; Online
    ISBN 9783642215018 ; 3642215017
    DOI 10.1007/978-3-642-21501-8
    Database Former special subject collection: coastal and deep sea fishing

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