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SinGAN-Seg: Synthetic training data generation for medical image segmentation

PloS one, 2022-05, Vol.17 (5), p.e0267976-e0267976

2022

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DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine

Scientific reports, 2021-11, Vol.11 (1), p.21896-21896, Article 21896

2021

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Deep Tower Networks for Efficient Temperature Forecasting from Multiple Data Sources

Sensors (Basel, Switzerland), 2022-04, Vol.22 (7), p.2802

2022

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Efficient Estimation of Generative Models Using Tukey Depth

Algorithms, 2024-03, Vol.17 (3), p.120

2024

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Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models

Frontiers in neuroinformatics, 2024-01, Vol.17, p.1272791-1272791

2024

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A dataset for predicting cloud cover over Europe

Scientific data, 2024-02, Vol.11 (1), p.245-245, Article 245

2024

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Unraveling the Impact of Land Cover Changes on Climate Using Machine Learning and Explainable Artificial Intelligence

Big data and cognitive computing, 2021-12, Vol.5 (4), p.55

2021

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A Deep Diagnostic Framework Using Explainable Artificial Intelligence and Clustering

Diagnostics (Basel), 2023-11, Vol.13 (22), p.3413

2023

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VISEM-Tracking, a human spermatozoa tracking dataset

Scientific data, 2023-05, Vol.10 (1), p.260-260, Article 260

2023

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Advancing EEG prediction with deep learning and uncertainty estimation

Brain informatics, 2024-12, Vol.11 (1), p.27-12, Article 27

2024

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Prediction of Cloud Fractional Cover Using Machine Learning

Big data and cognitive computing, 2021-12, Vol.5 (4), p.62

2021

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Predicting Cell Cleavage Timings from Time-Lapse Videos of Human Embryos

Big data and cognitive computing, 2023-06, Vol.7 (2), p.91

2023

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HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy

Scientific data, 2020-08, Vol.7 (1), p.283-283, Article 283

2020

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Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction

Scientific reports, 2019-11, Vol.9 (1), p.16770-10, Article 16770

2019

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Achieving Fair Load Balancing by Invoking a Learning Automata-Based Two-Time-Scale Separation Paradigm

IEEE transaction on neural networks and learning systems, 2021-08, Vol.32 (8), p.3444-3457

2021

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Kvasir-Capsule, a video capsule endoscopy dataset

Scientific data, 2021-05, Vol.8 (1), p.142-142, Article 142

2021

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Solving stochastic nonlinear resource allocation problems using continuous learning automata

Applied intelligence (Dordrecht, Netherlands), 2018-11, Vol.48 (11), p.4392-4411

2018

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Prediction of schizophrenia from activity data using hidden Markov model parameters

Neural computing & applications, 2023-03, Vol.35 (8), p.5619-5630

2023

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EEG electrodes and where to find them: automated localization from 3D scans

Journal of neural engineering, 2024-10, Vol.21 (5), p.56022

2024

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Efficient quantile tracking using an oracle

Applied intelligence (Dordrecht, Netherlands), 2023-01, Vol.53 (1), p.289-300

2023

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Artificial intelligence in dry eye disease

The ocular surface, 2022-01, Vol.23, p.74-86

2022

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Game-Theoretic Learning for Sensor Reliability Evaluation Without Knowledge of the Ground Truth

IEEE transactions on cybernetics, 2021-12, Vol.51 (12), p.5706-5716

2021

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Two-time scale learning automata: an efficient decision making mechanism for stochastic nonlinear resource allocation

Applied intelligence (Dordrecht, Netherlands), 2019-09, Vol.49 (9), p.3392-3405

2019

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Diagnosing Schizophrenia from Activity Records using Hidden Markov Model Parameters

2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), 2021, p.432-437

2021

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Principal Components Analysis Based Frameworks for Efficient Missing Data Imputation Algorithms

Recent Challenges in Intelligent Information and Database Systems, 2023, Vol.1863, p.254-266

2023

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SinGAN-Seg: Synthetic training data generation for medical image segmentation

DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine

Deep Tower Networks for Efficient Temperature Forecasting from Multiple Data Sources

Efficient Estimation of Generative Models Using Tukey Depth

Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models

A dataset for predicting cloud cover over Europe

Unraveling the Impact of Land Cover Changes on Climate Using Machine Learning and Explainable Artificial Intelligence

A Deep Diagnostic Framework Using Explainable Artificial Intelligence and Clustering

VISEM-Tracking, a human spermatozoa tracking dataset

Advancing EEG prediction with deep learning and uncertainty estimation

Prediction of Cloud Fractional Cover Using Machine Learning

Predicting Cell Cleavage Timings from Time-Lapse Videos of Human Embryos

HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy

Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction

Achieving Fair Load Balancing by Invoking a Learning Automata-Based Two-Time-Scale Separation Paradigm

Kvasir-Capsule, a video capsule endoscopy dataset

Solving stochastic nonlinear resource allocation problems using continuous learning automata

Prediction of schizophrenia from activity data using hidden Markov model parameters

EEG electrodes and where to find them: automated localization from 3D scans

Efficient quantile tracking using an oracle

Artificial intelligence in dry eye disease

Game-Theoretic Learning for Sensor Reliability Evaluation Without Knowledge of the Ground Truth

Two-time scale learning automata: an efficient decision making mechanism for stochastic nonlinear resource allocation

Diagnosing Schizophrenia from Activity Records using Hidden Markov Model Parameters

Principal Components Analysis Based Frameworks for Efficient Missing Data Imputation Algorithms

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