Bogdan Ruszczak

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Ensemble Learning

Convolutional Neural Networks

Top Venues

GECCO Companion

Publications

Bogdan Ruszczak, Michal Myller, Lukasz Tulczyjew, Agata Wijata, Jakub Nalepa
Particle Swarm Optimization Meets Deep Learning for Estimating Root-Zone Soil Moisture from Hyperspectral Images. GECCO Companion (2024)
Bogdan Ruszczak, Krzysztof Kotowski, David Evans, Jakub Nalepa
The OPS-SAT benchmark for detecting anomalies in satellite telemetry. CoRR (2024)
Krzysztof Kotowski, Christoph Haskamp, Jacek Andrzejewski, Bogdan Ruszczak, Jakub Nalepa, Daniel Lakey, Peter Collins, Aybike Kolmas, Mauro Bartesaghi, Jose Martinez-Heras, Gabriele De Canio
European Space Agency Benchmark for Anomaly Detection in Satellite Telemetry. CoRR (2024)
Bogdan Ruszczak
Coupling Temporal Convolutional Networks with Anomaly Detection and CMA-ES for the Electricity Price Forecasting. GECCO Companion (2024)
Bogdan Ruszczak, Krzysztof Smykala, Michal Tomaszewski, Pedro Javier Navarro Lorente
Various tomato infection discrimination using spectroscopy. Signal Image Video Process. 18 (6) (2024)
Bogdan Ruszczak, Agata M. Wijata, Jakub Nalepa
Estimating Chlorophyll Content from Hyperspectral Data Using Gradient Features. ICCS (2) (2023)
Bogdan Ruszczak, Krzysztof Kotowski, Jacek Andrzejewski, Christoph Haskamp, Jakub Nalepa
OXI: An online tool for visualization and annotation of satellite time series data. SoftwareX 23 (2023)
Bogdan Ruszczak
Reducing high-dimensional feature set of hyperspectral measurements for plant phenotype classification. GECCO Companion (2023)
Bogdan Ruszczak, Pawel Michalski, Michal Tomaszewski
Overview of Image Datasets for Deep Learning Applications in Diagnostics of Power Infrastructure. Sensors 23 (16) (2023)
Bogdan Ruszczak, Krzysztof Kotowski, Jacek Andrzejewski, Alicja Musial, David Evans, Vladimir Zelenevskiy, Sam Bammens, Rodrigo Laurinovics, Jakub Nalepa
Machine Learning Detects Anomalies in OPS-SAT Telemetry. ICCS (1) (2023)
Bogdan Ruszczak, Katarzyna Rudnik
Ensemble-based versus expert-assisted approach to carbon price features selection. FedCSIS (Communication Papers) (2023)
Bogdan Ruszczak
Evolutionary configuration of the Temporal Convolutional Network for the electricity price prediction. GECCO Companion (2023)
Bogdan Ruszczak, Agata M. Wijata, Jakub Nalepa
Unbiasing the Estimation of Chlorophyll from Hyperspectral Images: A Benchmark Dataset, Validation Procedure and Baseline Results. Remote. Sens. 14 (21) (2022)
Bogdan Ruszczak, Dominika Boguszewska-Mankowska
Soil Moisture a Posteriori Measurements Enhancement Using Ensemble Learning. Sensors 22 (12) (2022)
Krzysztof Smykala, Bogdan Ruszczak, Karol Dziubanski
Application of Ensemble Learning to Detect Alternaria Solani Infection on Tomatoes Cultivated Under Foil Tunnels. Intelligent Environments (Workshops) (2020)
Bogdan Ruszczak, Krzysztof Smykala, Karol Dziubanski
The detection of Alternaria solani infection on tomatoes using ensemble learning. J. Ambient Intell. Smart Environ. 12 (5) (2020)
Michal Tomaszewski, Pawel Michalski, Bogdan Ruszczak, Slawomir Zator
Detection of power line insulators on digital images with the use of laser spots. IET Image Process. 13 (12) (2019)
Michal Tomaszewski, Bogdan Ruszczak, Pawel Michalski, Slawomir Zator
The study of weather conditions favourable to the accretion of icing that pose a threat to transmission power lines. Int. J. Crit. Infrastructure Prot. 25 (2019)
Pawel Michalski, Bogdan Ruszczak, Pedro Javier Navarro Lorente
The Implementation of a Convolutional Neural Network for the Detection of the Transmission Towers Using Satellite Imagery. ISAT (2) (2019)
Michal Slapek, Krzysztof Smykala, Bogdan Ruszczak
Brassica Napus Florescence Modeling Based on Modified Vegetation Index Using Sentinel-2 Imagery. ICAISC (2) (2019)
Pawel Michalski, Bogdan Ruszczak, Michal Tomaszewski
Convolutional Neural Networks Implementations for Computer Vision. IC BCI (2018)