Showing 1 - 16 results of 16 for search 'Gabriela Czibula', query time: 0.04s Refine Results
  1. 1
    <italic>MBMT-Net</italic>: A Multi-Task Learning Based Convolutional Neural Network Architecture for Dense Prediction Tasks

    <italic>MBMT-Net</italic>: A Multi-Task Learning Based Convolutional Neural Network Architecture for Dense Prediction Tasks by George Ciubotariu, Gabriela Czibula

    Published 2022-01-01
    Get full text
    Article
  2. 2
    <i>NowDeepN</i>: An Ensemble of Deep Learning Models for Weather Nowcasting Based on Radar Products’ Values Prediction

    <i>NowDeepN</i>: An Ensemble of Deep Learning Models for Weather Nowcasting Based on Radar Products’ Values Prediction by Gabriela Czibula, Andrei Mihai, Eugen Mihuleţ

    Published 2020-12-01
    Get full text
    Article
  3. 3
    Enhancing the Performance of Software Authorship Attribution Using an Ensemble of Deep Autoencoders

    Enhancing the Performance of Software Authorship Attribution Using an Ensemble of Deep Autoencoders by Gabriela Czibula, Mihaiela Lupea, Anamaria Briciu

    Published 2022-07-01
    Get full text
    Article
  4. 4
    Promoter Sequences Prediction Using Relational Association Rule Mining

    Promoter Sequences Prediction Using Relational Association Rule Mining by Gabriela Czibula, Maria-Iuliana Bocicor, Istvan Gergely Czibula

    Published 2012-04-01
    Get full text
    Article
  5. 5
    Promoter Sequences Prediction Using Relational Association Rule Mining

    Promoter Sequences Prediction Using Relational Association Rule Mining by Gabriela Czibula, Maria-Iuliana Bocicor, Istvan Gergely Czibula

    Published 2012-01-01
    Get full text
    Article
  6. 6
    A Reinforcement Learning Approach for Solving the Matrix Bandwidth Minimization Problem

    A Reinforcement Learning Approach for Solving the Matrix Bandwidth Minimization Problem by Gabriela Czibula, Istvan Gergely Czibula, Camelia M. Pintea

    Published 2010-12-01
    Get full text
    Article
  7. 7
    Enhancing the Performance of Quantitative Precipitation Estimation Using Ensemble of Machine Learning Models Applied on Weather Radar Data

    Enhancing the Performance of Quantitative Precipitation Estimation Using Ensemble of Machine Learning Models Applied on Weather Radar Data by Eugen Mihuleţ, Sorin Burcea, Andrei Mihai, Gabriela Czibula

    Published 2023-01-01
    Get full text
    Article
  8. 8
    Correction: Temporal Ordering of Cancer Microarray Data through a Reinforcement Learning Based Approach.

    Correction: Temporal Ordering of Cancer Microarray Data through a Reinforcement Learning Based Approach. by Gabriela Czibula, Iuliana M. Bocicor, Istvan-Gergely Czibula

    Published 2013-01-01
    Get full text
    Article
  9. 9
    An in-Depth Analysis of the Software Features&#x2019; Impact on the Performance of Deep Learning-Based Software Defect Predictors

    An in-Depth Analysis of the Software Features&#x2019; Impact on the Performance of Deep Learning-Based Software Defect Predictors by Diana-Lucia Miholca, Vlad-Ioan Tomescu, Gabriela Czibula

    Published 2022-01-01
    Get full text
    Article
  10. 10
    Towards Using Unsupervised Learning for Comparing Traditional and Synchronous Online Learning in Assessing Students’ Academic Performance

    Towards Using Unsupervised Learning for Comparing Traditional and Synchronous Online Learning in Assessing Students’ Academic Performance by Mariana-Ioana Maier, Gabriela Czibula, Zsuzsanna-Edit Oneţ-Marian

    Published 2021-11-01
    Get full text
    Article
  11. 11
    <italic>IntelliDaM</italic>: A Machine Learning-Based Framework for Enhancing the Performance of Decision-Making Processes. A Case Study for Educational Data Mining

    <italic>IntelliDaM</italic>: A Machine Learning-Based Framework for Enhancing the Performance of Decision-Making Processes. A Case Study for Educational Data Mining by Gabriela Czibula, George Ciubotariu, Mariana-Ioana Maier, Hannelore Lisei

    Published 2022-01-01
    Get full text
    Article
  12. 12
    <i>AutoPPI</i>: An Ensemble of Deep Autoencoders for Protein–Protein Interaction Prediction

    <i>AutoPPI</i>: An Ensemble of Deep Autoencoders for Protein–Protein Interaction Prediction by Gabriela Czibula, Alexandra-Ioana Albu, Maria Iuliana Bocicor, Camelia Chira

    Published 2021-05-01
    Get full text
    Article
  13. 13
    IDENTIFYING HIDDEN DEPENDENCIES IN SOFTWARE SYSTEMS

    IDENTIFYING HIDDEN DEPENDENCIES IN SOFTWARE SYSTEMS by István Gergely CZIBULA, Gabriela CZIBULA, Diana-Lucia MIHOLCA, Zsuzsanna MARIAN

    Published 2017-06-01
    Get full text
    Article
  14. 14
    USING COMPUTATIONAL INTELLIGENCE MODELS FOR ADDITIONAL INSIGHT INTO PROTEIN STRUCTURE

    USING COMPUTATIONAL INTELLIGENCE MODELS FOR ADDITIONAL INSIGHT INTO PROTEIN STRUCTURE by Maria-Iuliana BOCICOR, Alessandro PANDINI, Gabriela CZIBULA, Silvana ALBERT, Mihai TELETIN

    Published 2017-06-01
    Get full text
    Article
  15. 15
    <i>NeXtNow</i>: A Convolutional Deep Learning Model for the Prediction of Weather Radar Data for Nowcasting Purposes

    <i>NeXtNow</i>: A Convolutional Deep Learning Model for the Prediction of Weather Radar Data for Nowcasting Purposes by Alexandra-Ioana Albu, Gabriela Czibula, Andrei Mihai, Istvan Gergely Czibula, Sorin Burcea, Abdelkader Mezghani

    Published 2022-08-01
    Get full text
    Article
  16. 16
    <i>AutoNowP</i>: An Approach Using Deep Autoencoders for Precipitation Nowcasting Based on Weather Radar Reflectivity Prediction

    <i>AutoNowP</i>: An Approach Using Deep Autoencoders for Precipitation Nowcasting Based on Weather Radar Reflectivity Prediction by Gabriela Czibula, Andrei Mihai, Alexandra-Ioana Albu, Istvan-Gergely Czibula, Sorin Burcea, Abdelkader Mezghani

    Published 2021-07-01
    Get full text
    Article

Search Tools: