A Distributed Immune Algorithm for Solving Optimization Problems. - Mariusz Oszust; Marian Wysocki (IDC, 2008)

Determining Subunits for Sign Language Recognition by Evolutionary Cluster-Based Segmentation of Time Series. - Mariusz Oszust; Marian Wysocki (ICAISC (2), 2010)

Recognition of Signed Expressions Using Cluster-Based Segmentation of Time Series. - Mariusz Oszust; Marian Wysocki (IP&C, 2010)

Recognition of signed expressions using visually-Oriented subunits obtained by an immune-Based optimization. - Mariusz Oszust; Marian Wysocki (SoCPaR, 2010)

Modelling and Recognition of Signed Expressions Using Subunits Obtained by Data-Driven Approach. - Mariusz Oszust; Marian Wysocki (AIMSA, 2012)

Recognition of signed expressions observed by Kinect Sensor. - Mariusz Oszust; Marian Wysocki (AVSS, 2013)

Polish sign language words recognition with Kinect. - Mariusz Oszust; Marian Wysocki (HSI, 2013)

Clustering and Classification of Time Series Representing Sign Language Words. - Mariusz Oszust; Marian Wysocki (ICAISC (2), 2013)

Recognition of Signed Expressions Using Symbolic Aggregate Approximation. - Mariusz Oszust; Marian Wysocki (ICAISC (1), 2014)

Recognition of signed expressions using visually-oriented subunits obtained by an immune-based optimisation. - Mariusz Oszust; Marian Wysocki (Int. J. Data Min. Model. Manag., 2014)

BDSB: Binary descriptor with shared pixel blocks. - Mariusz Oszust (J. Vis. Commun. Image Represent., 2016)

An optimisation approach to the design of a fast, compact and distinctive binary descriptor. - Mariusz Oszust (Signal Image Video Process., 2016)

Decision Fusion for Image Quality Assessment using an Optimization Approach. - Mariusz Oszust (IEEE Signal Process. Lett., 2016)

A Binary Representation for Real-Valued, Local Feature Descriptors. - Mariusz Oszust (J. Autom. Mob. Robotics Intell. Syst., 2017)

Image quality assessment with lasso regression and pairwise score differences. - Mariusz Oszust (Multim. Tools Appl., 2017)

An approach to vision-based localisation with binary features for partially sighted people. - Mariusz Oszust; Jaroslaw Padjasek; Przemyslaw Kasprzyk (Signal Image Video Process., 2017)

No-Reference Image Quality Assessment Using Image Statistics and Robust Feature Descriptors. - Mariusz Oszust (IEEE Signal Process. Lett., 2017)

Optimized Filtering With Binary Descriptor for Blind Image Quality Assessment. - Mariusz Oszust (IEEE Access, 2018)

No-reference image quality assessment with local features and high-order derivatives. - Mariusz Oszust (J. Vis. Commun. Image Represent., 2018)

No-Reference quality assessment of noisy images with local features and visual saliency models. - Mariusz Oszust (Inf. Sci., 2019)

Local Feature Descriptor and Derivative Filters for Blind Image Quality Assessment. - Mariusz Oszust (IEEE Signal Process. Lett., 2019)

No-Reference Image Quality Assessment with Local Gradient Orientations. - Mariusz Oszust (Symmetry, 2019)

Interobserver variability in quality assessment of magnetic resonance images. - Rafal Obuchowicz; Mariusz Oszust; Adam Piórkowski (BMC Medical Imaging, 2020)

Magnetic Resonance Image Quality Assessment by Using Non-Maximum Suppression and Entropy Analysis. - Rafal Obuchowicz; Mariusz Oszust; Marzena Bielecka; Andrzej Bielecki; Adam Piórkowski (Entropy, 2020)

Data Augmentation with Suboptimal Warping for Time-Series Classification. - Krzysztof Kamycki; Tomasz Kapuscinski; Mariusz Oszust (Sensors, 2020)

Isolated Sign Language Recognition with Depth Cameras. - Mariusz Oszust; Jakub Krupski (KES, 2021)

A hybridization approach with predicted solution candidates for improving population-based optimization algorithms. - Mariusz Oszust; Grzegorz Sroka; Karol Cymerys (Inf. Sci., 2021)

Enhanced Marine Predators Algorithm with Local Escaping Operator for Global Optimization. - Mariusz Oszust (Knowl. Based Syst., 2021)

Fusion of Deep Convolutional Neural Networks for No-Reference Magnetic Resonance Image Quality Assessment. - Igor Stepien; Rafal Obuchowicz; Adam Piórkowski; Mariusz Oszust (Sensors, 2021)

No-reference image quality assessment of authentically distorted images with global and local statistics. - Milosz Rajchel; Mariusz Oszust (Signal Image Video Process., 2021)

Time Series Augmentation with Time-Scale Modifications and Piecewise Aggregate Approximation for Human Action Recognition. - Mariusz Oszust; Dawid Warchol (ICTAI, 2022)

Efficient Augmentation of Human Action Recognition Datasets with Warped Windows. - Dawid Warchol; Mariusz Oszust (KES, 2022)

Is one annotation enough? - A data-centric image classification benchmark for noisy and ambiguous label estimation. - Lars Schmarje; Vasco Grossmann; Claudius Zelenka; Sabine Dippel; Rainer Kiko; Mariusz Oszust; Matti Pastell; Jenny Stracke; Anna Valros; Nina Volkmann; Reinhard Koch (NeurIPS, 2022)

Blind image quality assessment of magnetic resonance images with statistics of local intensity extrema. - Mariusz Oszust; Marzena Bielecka; Andrzej Bielecki; Igor Stepien; Rafal Obuchowicz; Adam Piórkowski (Inf. Sci., 2022)

A Brief Survey on No-Reference Image Quality Assessment Methods for Magnetic Resonance Images. - Igor Stepien; Mariusz Oszust (J. Imaging, 2022)

No-Reference Quality Assessment of Pan-Sharpening Images with Multi-Level Deep Image Representations. - Igor Stepien; Mariusz Oszust (Remote. Sens., 2022)

Augmentation of Human Action Datasets with Suboptimal Warping and Representative Data Samples. - Dawid Warchol; Mariusz Oszust (Sensors, 2022)

Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation. - Lars Schmarje; Vasco Grossmann; Claudius Zelenka; Sabine Dippel; Rainer Kiko; Mariusz Oszust; Matti Pastell; Jenny Stracke; Anna Valros; Nina Volkmann; Reinhard Koch (Zenodo, 2022)

Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation. - Lars Schmarje; Vasco Grossmann; Claudius Zelenka; Sabine Dippel; Rainer Kiko; Mariusz Oszust; Matti Pastell; Jenny Stracke; Anna Valros; Nina Volkmann; Reinhard Koch (Zenodo, 2022)

Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation. - Lars Schmarje; Vasco Grossmann; Claudius Zelenka; Sabine Dippel; Rainer Kiko; Mariusz Oszust; Matti Pastell; Jenny Stracke; Anna Valros; Nina Volkmann; Reinhard Koch (Zenodo, 2022)

Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation. - Lars Schmarje; Vasco Grossmann; Claudius Zelenka; Sabine Dippel; Rainer Kiko; Mariusz Oszust; Matti Pastell; Jenny Stracke; Anna Valros; Nina Volkmann; Reinhard Koch (Zenodo, 2022)

No-Reference Image Quality Assessment of Magnetic Resonance images with multi-level and multi-model representations based on fusion of deep architectures. - Igor Stepien; Mariusz Oszust (Eng. Appl. Artif. Intell., 2023)

TIQA-PSI: Toolbox for perceptual Image Quality Assessment of Pan-Sharpened Images. - Igor Stepien; Mariusz Oszust (SoftwareX, 2023)

Attraction-Repulsion Optimization Algorithm for Global Optimization Problems. - Karol Cymerys; Mariusz Oszust (Swarm Evol. Comput., 2024)

Three-branch neural network for No-Reference Quality assessment of Pan-Sharpened Images. - Igor Stepien; Mariusz Oszust (Eng. Appl. Artif. Intell., 2025)