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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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A Deep Diagnostic Framework Using Explainable Artificial Intelligence and Clustering

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

2023

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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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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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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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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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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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Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes

Neural computation, 2021-02, Vol.33 (2), p.483-527

2021

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Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes

Neural computation, 2020-05, Vol.32 (5), p.912-968

2020

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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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Kvasir-Capsule, a video capsule endoscopy dataset

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

2021

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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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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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IEEE_Xplore

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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Artificial intelligence in dry eye disease

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

2022

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Principal Components Analysis Based Frameworks for Efficient Missing Data Imputation Algorithms

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

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Estimating Tukey depth using incremental quantile estimators

Pattern recognition, 2022-02, Vol.122, p.108339, Article 108339

2022

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Approximate Bayesian Inference Based on Expected Evaluation

Bayesian analysis, 2023-01, Vol.1 (1)

2023

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THREAT: A Large Annotated Corpus for Detection of Violent Threats

2019 International Conference on Content-Based Multimedia Indexing (CBMI), 2019, p.1-5

2019

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IEEE_Xplore

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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IEEE_Xplore

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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

A Deep Diagnostic Framework Using Explainable Artificial Intelligence and Clustering

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

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

Prediction of Cloud Fractional Cover Using Machine Learning

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

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

Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes

Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes

Solving stochastic nonlinear resource allocation problems using continuous learning automata

Prediction of schizophrenia from activity data using hidden Markov model parameters

Kvasir-Capsule, a video capsule endoscopy dataset

Efficient quantile tracking using an oracle

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

Artificial intelligence in dry eye disease

Principal Components Analysis Based Frameworks for Efficient Missing Data Imputation Algorithms

Estimating Tukey depth using incremental quantile estimators

Approximate Bayesian Inference Based on Expected Evaluation

THREAT: A Large Annotated Corpus for Detection of Violent Threats

Diagnosing Schizophrenia from Activity Records using Hidden Markov Model Parameters

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