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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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Efficient Estimation of Generative Models Using Tukey Depth

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

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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VISEM-Tracking, a human spermatozoa tracking dataset

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

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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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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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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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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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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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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Utilization of Norway's emergency wards: the second 5 years after the introduction of the patient list system

International journal of environmental research and public health, 2014-03, Vol.11 (3), p.3375-3386

2014

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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, 2024-09, Vol.19 (3)

2024

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Exploring Embryo Development at the Morula Stage - an AI-based Approach to Determine Whether to Use or Discard an Embryo

2024 4th International Conference on Applied Artificial Intelligence (ICAPAI), 2024, p.1-8

2024

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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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HTAD: A Home-Tasks Activities Dataset with Wrist-Accelerometer and Audio Features

Lecture notes in computer science, 2021, Vol.12573, p.196-205

2021

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Prediction of cloud fractional cover using machine learning

Big data and cognitive computing, 2021

2021

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The EndoTect 2020 Challenge: Evaluation and Comparison of Classification, Segmentation and Inference Time for Endoscopy

Pattern Recognition. ICPR International Workshops and Challenges, 2021, Vol.12668, p.263-274

2021

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Analysis of Optical Brain Signals Using Connectivity Graph Networks

Machine Learning and Knowledge Extraction, 2020, Vol.12279, p.485-497

2020

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

PloS one, 2022-01, Vol.17 (5), p.e0267976

2022

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An interview with Associate Professor Hugo L. Hammer

ACM SIGMM records, 2019-12, Vol.11 (4), p.1-1

2019

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

Efficient Estimation of Generative Models Using Tukey Depth

A dataset for predicting cloud cover over Europe

VISEM-Tracking, a human spermatozoa tracking dataset

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

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

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

Kvasir-Capsule, a video capsule endoscopy dataset

Solving stochastic nonlinear resource allocation problems using continuous learning automata

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

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

Utilization of Norway's emergency wards: the second 5 years after the introduction of the patient list system

Estimating Tukey depth using incremental quantile estimators

Approximate Bayesian Inference Based on Expected Evaluation

Exploring Embryo Development at the Morula Stage - an AI-based Approach to Determine Whether to Use or Discard an Embryo

THREAT: A Large Annotated Corpus for Detection of Violent Threats

HTAD: A Home-Tasks Activities Dataset with Wrist-Accelerometer and Audio Features

Prediction of cloud fractional cover using machine learning

The EndoTect 2020 Challenge: Evaluation and Comparison of Classification, Segmentation and Inference Time for Endoscopy

Analysis of Optical Brain Signals Using Connectivity Graph Networks

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

An interview with Associate Professor Hugo L. Hammer

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