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Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks

Sensors (Basel, Switzerland), 2020-11, Vol.20 (22), p.6666

2020

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Effective Training of Deep Convolutional Neural Networks for Hyperspectral Image Classification through Artificial Labeling

Remote sensing (Basel, Switzerland), 2020-08, Vol.12 (16), p.2653

2020

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Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines

IEEE journal of selected topics in applied earth observations and remote sensing, 2023, Vol.16, p.7601-7613

2023

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Psychopathological analysis of several functional disorders and neurovegetative dysfunctions

Neuropsychiatria i neuropsychologia, 2022, Vol.17 (1-2), p.9-15

2022

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Automatic pigment identification from hyperspectral data

Journal of cultural heritage, 2018-05, Vol.31, p.1-12

2018

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Squeezing adaptive deep learning methods with knowledge distillation for on-board cloud detection

Engineering applications of artificial intelligence, 2024-06, Vol.132, p.107835, Article 107835

2024

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Improving Autoencoders Performance for Hyperspectral Unmixing Using Clustering

Recent Challenges in Intelligent Information and Database Systems, 2022, Vol.1716, p.102-121

2022

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Abnormalities in the absolute power of Delta and Alpha rhythms in the frontal lobe of patients suffering from psychosomatic disorders

Psychiatria polska, 2024-08, p.1-12

2024

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Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation

Image Analysis and Processing - ICIAP 2022, 2022, Vol.13231, p.391-403

2022

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Soil Analysis with Very Few Labels Using Semi-Supervised Hyperspectral Image Classification

IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 2024, p.407-411

2024

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Are Cloud Detection U-Nets Robust Against in-Orbit Image Acquisition Conditions?

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, p.239-242

2022

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Towards Robust Cloud Detection in Satellite Images Using U-Nets

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021, p.4099-4102

2021

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Optimizing Kernel-Target Alignment for Cloud Detection in Multispectral Satellite Images

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023, p.792-795

2023

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Cloud Detection in Multispectral Satellite Images Using Support Vector Machines with Quantum Kernels

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023, p.796-799

2023

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Correction to: Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation

Image Analysis and Processing – ICIAP 2022, 2022, p.C2-C2

2022

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Cardiac Arrhythmias in Autoimmune Diseases

Circulation Journal, 2020/04/24, Vol.84(5), pp.685-694

2020

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Automated photo-aligned liquid crystal elastomer film fabrication with a low-tech, home-built robotic workstation

Scientific reports, 2022-10, Vol.12 (1), p.17598-5, Article 17598

2022

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Improving prediction of computational job execution times with machine learning

Concurrency and computation, 2024-01, Vol.36 (2), p.n/a

2024

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From Light-Powered Motors, to Micro-Grippers, to Crawling Caterpillars, Snails and Beyond-Light-Responsive Oriented Polymers in Action

Materials, 2022-11, Vol.15 (22), p.8214

2022

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Associations between coping strategies and psychological distress among people living in Ukraine, Poland, and Taiwan during the initial stage of the 2022 War in Ukraine

European journal of psychotraumatology, 2023, Vol.14 (1), p.2163129-2163129

2023

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Electrophysiological Procedures in Patients With Coagulation Disorders　― A Systemic Review

Circulation Journal, 2020/05/25, Vol.84(6), pp.875-882

2020

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Predictors of Psychological Distress across Three Time Periods during the COVID-19 Pandemic in Poland

International journal of environmental research and public health, 2022-11, Vol.19 (22), p.15405

2022

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Atypical atrial flutter ablation: follow-up and predictors of arrhythmia recurrence

Heart and vessels, 2024-11, Vol.39 (11), p.949-957

2024

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Evaluation of Machine Learning Techniques for Predicting Run Times of Scientific Workflow Jobs

Parallel Processing and Applied Mathematics, 2023, Vol.13826, p.197-208

2023

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Mobile app and digital system for patients after myocardial infarction (afterAMI): study protocol for a randomized controlled trial

Trials, 2022-06, Vol.23 (1), p.522-522, Article 522

2022

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Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks

Effective Training of Deep Convolutional Neural Networks for Hyperspectral Image Classification through Artificial Labeling

Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines

Psychopathological analysis of several functional disorders and neurovegetative dysfunctions

Automatic pigment identification from hyperspectral data

Squeezing adaptive deep learning methods with knowledge distillation for on-board cloud detection

Improving Autoencoders Performance for Hyperspectral Unmixing Using Clustering

Abnormalities in the absolute power of Delta and Alpha rhythms in the frontal lobe of patients suffering from psychosomatic disorders

Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation

Soil Analysis with Very Few Labels Using Semi-Supervised Hyperspectral Image Classification

Are Cloud Detection U-Nets Robust Against in-Orbit Image Acquisition Conditions?

Towards Robust Cloud Detection in Satellite Images Using U-Nets

Optimizing Kernel-Target Alignment for Cloud Detection in Multispectral Satellite Images

Cloud Detection in Multispectral Satellite Images Using Support Vector Machines with Quantum Kernels

Correction to: Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation

Cardiac Arrhythmias in Autoimmune Diseases

Automated photo-aligned liquid crystal elastomer film fabrication with a low-tech, home-built robotic workstation

Improving prediction of computational job execution times with machine learning

From Light-Powered Motors, to Micro-Grippers, to Crawling Caterpillars, Snails and Beyond-Light-Responsive Oriented Polymers in Action

Associations between coping strategies and psychological distress among people living in Ukraine, Poland, and Taiwan during the initial stage of the 2022 War in Ukraine

Electrophysiological Procedures in Patients With Coagulation Disorders　― A Systemic Review

Predictors of Psychological Distress across Three Time Periods during the COVID-19 Pandemic in Poland

Atypical atrial flutter ablation: follow-up and predictors of arrhythmia recurrence

Evaluation of Machine Learning Techniques for Predicting Run Times of Scientific Workflow Jobs

Mobile app and digital system for patients after myocardial infarction (afterAMI): study protocol for a randomized controlled trial

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