Hasil Pencarian - Ruxandra Stoean

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  1. 1
    Uncertainty Quantification through Dropout in Time Series Prediction by Echo State Networks

    Uncertainty Quantification through Dropout in Time Series Prediction by Echo State Networks oleh Miguel Atencia, Ruxandra Stoean, Gonzalo Joya

    Diterbitkan 2020-08-01
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  2. 2
    Deep architectures for long-term stock price prediction with a heuristic-based strategy for trading simulations.

    Deep architectures for long-term stock price prediction with a heuristic-based strategy for trading simulations. oleh Catalin Stoean, Wiesław Paja, Ruxandra Stoean, Adrian Sandita

    Diterbitkan 2019-01-01
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  3. 3
    Ranking Information Extracted from Uncertainty Quantification of the Prediction of a Deep Learning Model on Medical Time Series Data

    Ranking Information Extracted from Uncertainty Quantification of the Prediction of a Deep Learning Model on Medical Time Series Data oleh Ruxandra Stoean, Catalin Stoean, Miguel Atencia, Roberto Rodríguez-Labrada, Gonzalo Joya

    Diterbitkan 2020-07-01
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  4. 4
    Performance of a Novel Chaotic Firefly Algorithm with Enhanced Exploration for Tackling Global Optimization Problems: Application for Dropout Regularization

    Performance of a Novel Chaotic Firefly Algorithm with Enhanced Exploration for Tackling Global Optimization Problems: Application for Dropout Regularization oleh Nebojsa Bacanin, Ruxandra Stoean, Miodrag Zivkovic, Aleksandar Petrovic, Tarik A. Rashid, Timea Bezdan

    Diterbitkan 2021-10-01
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  5. 5
    On the Benefits of Using Metaheuristics in the Hyperparameter Tuning of Deep Learning Models for Energy Load Forecasting

    On the Benefits of Using Metaheuristics in the Hyperparameter Tuning of Deep Learning Models for Energy Load Forecasting oleh Nebojsa Bacanin, Catalin Stoean, Miodrag Zivkovic, Miomir Rakic, Roma Strulak-Wójcikiewicz, Ruxandra Stoean

    Diterbitkan 2023-02-01
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  6. 6
    Respiratory Condition Detection Using Audio Analysis and Convolutional Neural Networks Optimized by Modified Metaheuristics

    Respiratory Condition Detection Using Audio Analysis and Convolutional Neural Networks Optimized by Modified Metaheuristics oleh Nebojsa Bacanin, Luka Jovanovic, Ruxandra Stoean, Catalin Stoean, Miodrag Zivkovic, Milos Antonijevic, Milos Dobrojevic

    Diterbitkan 2024-05-01
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  7. 7
    Metaheuristic-Based Hyperparameter Tuning for Recurrent Deep Learning: Application to the Prediction of Solar Energy Generation

    Metaheuristic-Based Hyperparameter Tuning for Recurrent Deep Learning: Application to the Prediction of Solar Energy Generation oleh Catalin Stoean, Miodrag Zivkovic, Aleksandra Bozovic, Nebojsa Bacanin, Roma Strulak-Wójcikiewicz, Milos Antonijevic, Ruxandra Stoean

    Diterbitkan 2023-03-01
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  8. 8
    Applying Recurrent Neural Networks for Anomaly Detection in Electrocardiogram Sensor Data

    Applying Recurrent Neural Networks for Anomaly Detection in Electrocardiogram Sensor Data oleh Ana Minic, Luka Jovanovic, Nebojsa Bacanin, Catalin Stoean, Miodrag Zivkovic, Petar Spalevic, Aleksandar Petrovic, Milos Dobrojevic, Ruxandra Stoean

    Diterbitkan 2023-12-01
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  9. 9
    Learning deep architectures for the interpretation of first-trimester fetal echocardiography (LIFE) - a study protocol for developing an automated intelligent decision support system for early fetal echocardiography

    Learning deep architectures for the interpretation of first-trimester fetal echocardiography (LIFE) - a study protocol for developing an automated intelligent decision support syst... oleh Anda Ungureanu, Andreea-Sorina Marcu, Ciprian Laurentiu Patru, Dan Ruican, Rodica Nagy, Ruxandra Stoean, Catalin Stoean, Dominic Gabriel Iliescu

    Diterbitkan 2023-01-01
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  10. 10
    Correction: Learning deep architectures for the interpretation of first‑trimester fetal echocardiography (LIFE) ‑ a study protocol for developing an automated intelligent decision support system for early fetal echocardiography

    Correction: Learning deep architectures for the interpretation of first‑trimester fetal echocardiography (LIFE) ‑ a study protocol for developing an automated intelligent decision... oleh Anda Ungureanu, Andreea‑Sorina Marcu, Ciprian Laurentiu Patru, Dan Ruican, Rodica Nagy, Ruxandra Stoean, Catalin Stoean, Dominic Gabriel Iliescu

    Diterbitkan 2023-07-01
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  11. 11
    Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals

    Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals oleh Catalin Stoean, Ruxandra Stoean, Miguel Atencia, Moloud Abdar, Luis Velázquez-Pérez, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Gonzalo Joya

    Diterbitkan 2020-05-01
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  12. 12
    A hybrid unsupervised-Deep learning tandem for electrooculography time series analysis.

    A hybrid unsupervised-Deep learning tandem for electrooculography time series analysis. oleh Ruxandra Stoean, Catalin Stoean, Roberto Becerra-García, Rodolfo García-Bermúdez, Miguel Atencia, Francisco García-Lagos, Luis Velázquez-Pérez, Gonzalo Joya

    Diterbitkan 2020-01-01
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  13. 13
    Sonographic Evaluation of the Mechanism of Active Labor (SonoLabor Study): observational study protocol regarding the implementation of the sonopartogram

    Sonographic Evaluation of the Mechanism of Active Labor (SonoLabor Study): observational study protocol regarding the implementation of the sonopartogram oleh Dominic Gabriel Iliescu, George Daskalakis, Laurentiu Mihai Dira, Stefania Tudorache, Panagiotis Antsaklis, Dagklis Themistoklis, Smaranda Belciug, Ruxandra Stoean, Marius Novac, Monica Laura Cara, Roxana Dragusin, Maria Florea, Ciprian Patru, Lucian Zorila, Rodica Nagy, Dan Ruican

    Diterbitkan 2021-09-01
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