Lukasz Tulczyjew

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 24

Top Topics

Convolutional Neural Networks

Top Venues

IEEE Geosci. Remote. Sens. Lett.

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)
Lukasz Tulczyjew, Ihor Biruk, Murat Bilgic, Charles Abondo, Nathanael Weill
PCAPVision: PCAP-Based High-Velocity and Large-Volume Network Failure Detection. NAIC (2024)
Lukasz Tulczyjew, Michal Przewozniczek, Renato Tinós, Agata M. Wijata, Jakub Nalepa
CANNIBAL Unveils the Hidden Gems: Hyperspectral Band Selection via Clustering of Weighted Variable Interaction Graphs. GECCO (2024)
Lukasz Tulczyjew, Ihor Biruk, Murat Bilgic, Charles Abondo, Nathanael Weill
PCAPVision: PCAP-Based High-Velocity and Large-Volume Network Failure Detection. CoRR (2024)
Tomasz Jastrzab, Michal Myller, Lukasz Tulczyjew, Miroslaw Blocho, Michal Kawulok, Adam Czornik, Jakub Nalepa
Standardized validation of vehicle routing algorithms. Appl. Intell. 54 (2) (2024)
Lukasz Tulczyjew, Kinan Jarrah, Charles Abondo, Dina Bennett, Nathanael Weill
LLMcap: Large Language Model for Unsupervised PCAP Failure Detection. CoRR (2024)
Vladimir Zaigrajew, Hubert Baniecki, Lukasz Tulczyjew, Agata M. Wijata, Jakub Nalepa, Nicolas Longépé, Przemyslaw Biecek
Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI. CoRR (2024)
Lukasz Tulczyjew, Kinan Jarrah, Charles Abondo, Dina Bennett, Nathanael Weill
LLMcap: Large Language Model for Unsupervised PCAP Failure Detection. ICC Workshops (2024)
Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
Unbiased Validation of Hyperspectral Unmixing Algorithms. IGARSS (2023)
Jakub Nalepa, Bertrand Le Saux, Nicolas Longépé, Lukasz Tulczyjew, Michal Myller, Michal Kawulok, Krzysztof Smykala, Michal Gumiela
The Hyperview Challenge: Estimating Soil Parameters from Hyperspectral Images. ICIP (2022)
Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
A Multibranch Convolutional Neural Network for Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
A Multibranch Convolutional Neural Network for Hyperspectral Unmixing. CoRR (2022)
Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
Graph Neural Networks Extract High-Resolution Cultivated Land Maps from Sentinel-2 Image Series. CoRR (2022)
Tomasz Tarasiewicz, Lukasz Tulczyjew, Michal Myller, Michal Kawulok, Nicolas Longépé, Jakub Nalepa
Extracting High-Resolution Cultivated Land Maps from Sentinel-2 Image Series. IGARSS (2022)
Tomasz Jastrzab, Michal Myller, Lukasz Tulczyjew, Miroslaw Blocho, Wojciech Ryczko, Michal Kawulok, Jakub Nalepa
Particle Swarm Optimization Configures the Route Minimization Algorithm. ICCS (1) (2022)
Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
Graph Neural Networks Extract High-Resolution Cultivated Land Maps From Sentinel-2 Image Series. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Lukasz Tulczyjew, Michal Kawulok, Jakub Nalepa
Unsupervised Feature Learning Using Recurrent Neural Nets for Segmenting Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 18 (12) (2021)
Lukasz Tulczyjew, Jakub Nalepa
Investigating the Impact of the Training Set Size on Deep Learning-Powered Hyperspectral Unmixing. IGARSS (2021)
Jakub Nalepa, Michal Myller, Marcin Cwiek, Lukasz Zak, Tomasz Lakota, Lukasz Tulczyjew, Michal Kawulok
Towards On-Board Hyperspectral Satellite Image Segmentation: Understanding Robustness of Deep Learning through Simulating Acquisition Conditions. Remote. Sens. 13 (8) (2021)
Jakub Nalepa, Michal Myller, Lukasz Tulczyjew, Michal Kawulok
Deep Ensembles for Hyperspectral Image Data Classification and Unmixing. Remote. Sens. 13 (20) (2021)
Pablo Ribalta Lorenzo, Lukasz Tulczyjew, Michal Marcinkiewicz, Jakub Nalepa
Hyperspectral Band Selection Using Attention-Based Convolutional Neural Networks. IEEE Access 8 (2020)
Jakub Nalepa, Lukasz Tulczyjew, Michal Myller, Michal Kawulok
Hyperspectral Image Classification Using Spectral-Spatial Convolutional Neural Networks. IGARSS (2020)
Jakub Nalepa, Lukasz Tulczyjew, Michal Myller, Michal Kawulok
Segmenting Hyperspectral Images Using Spectral-Spatial Convolutional Neural Networks With Training-Time Data Augmentation. CoRR (2019)
Pablo Ribalta Lorenzo, Lukasz Tulczyjew, Michal Marcinkiewicz, Jakub Nalepa
Band Selection from Hyperspectral Images Using Attention-based Convolutional Neural Networks. CoRR (2018)