Lukasz Tulczyjew

According to our database, Lukasz Tulczyjew authored at least 23 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI.

Vladimir Zaigrajew, Hubert Baniecki, Lukasz Tulczyjew, Agata M. Wijata, Jakub Nalepa, Nicolas Longépé, Przemyslaw Biecek

CoRR, 2024

Standardized validation of vehicle routing algorithms.

Tomasz Jastrzab, Michal Myller, Lukasz Tulczyjew, Miroslaw Blocho, Michal Kawulok, Adam Czornik, Jakub Nalepa

Appl. Intell., 2024

PCAPVision: PCAP-Based High-Velocity and Large-Volume Network Failure Detection.

Lukasz Tulczyjew, Ihor Biruk, Murat Bilgic, Charles Abondo, Nathanael Weill

Proceedings of the 2024 SIGCOMM Workshop on Networks for AI Computing, 2024

Intuition-1: Toward In-Orbit Bare Soil Detection Using Spectral Vegetation Indices.

Agata M. Wijata, Tomasz Lakota, Marcin Cwiek, Bogdan Ruszczak, Michal Gumiela, Lukasz Tulczyjew, Andrzej Bartoszek, Nicolas Longépé, Krzysztof Smykala, Jakub Nalepa

Proceedings of the IGARSS 2024, 2024

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

Bartosz Grabowski, Agata M. Wijata, Lukasz Tulczyjew, Bertrand Le Saux, Jakub Nalepa

Proceedings of the IGARSS 2024, 2024

Estimating Soil Parameters from Hyperspectral Imagesusing Ensembles of Classic and Deep Machine Learning Models.

Wiktor Gacek, Lukasz Tulczyjew, Agata M. Wijata, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa

Proceedings of the IGARSS 2024, 2024

LLMcap: Large Language Model for Unsupervised PCAP Failure Detection.

Lukasz Tulczyjew, Kinan Jarrah, Charles Abondo, Dina Bennett, Nathanael Weill

Proceedings of the IEEE International Conference on Communications Workshops, 2024

CANNIBAL Unveils the Hidden Gems: Hyperspectral Band Selection via Clustering of Weighted Variable Interaction Graphs.

Lukasz Tulczyjew, Michal Przewozniczek, Renato Tinós, Agata M. Wijata, Jakub Nalepa

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Particle Swarm Optimization Meets Deep Learning for Estimating Root-Zone Soil Moisture from Hyperspectral Images.

Bogdan Ruszczak, Michal Myller, Lukasz Tulczyjew, Agata Wijata, Jakub Nalepa

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023

Unbiased Validation of Hyperspectral Unmixing Algorithms.

Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

A Multibranch Convolutional Neural Network for Hyperspectral Unmixing.

Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa

IEEE Geosci. Remote. Sens. Lett., 2022

Graph Neural Networks Extract High-Resolution Cultivated Land Maps From Sentinel-2 Image Series.

Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa

IEEE Geosci. Remote. Sens. Lett., 2022

Extracting High-Resolution Cultivated Land Maps from Sentinel-2 Image Series.

Tomasz Tarasiewicz, Lukasz Tulczyjew, Michal Myller, Michal Kawulok, Nicolas Longépé, Jakub Nalepa

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

The Hyperview Challenge: Estimating Soil Parameters from Hyperspectral Images.

Jakub Nalepa, Bertrand Le Saux, Nicolas Longépé, Lukasz Tulczyjew, Michal Myller, Michal Kawulok, Krzysztof Smykala, Michal Gumiela

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Particle Swarm Optimization Configures the Route Minimization Algorithm.

Tomasz Jastrzab, Michal Myller, Lukasz Tulczyjew, Miroslaw Blocho, Wojciech Ryczko, Michal Kawulok, Jakub Nalepa

Proceedings of the Computational Science - ICCS 2022, 2022

2021

Deep Ensembles for Hyperspectral Image Data Classification and Unmixing.

Jakub Nalepa, Michal Myller, Lukasz Tulczyjew, Michal Kawulok

Remote. Sens., 2021

Towards On-Board Hyperspectral Satellite Image Segmentation: Understanding Robustness of Deep Learning through Simulating Acquisition Conditions.

Jakub Nalepa, Michal Myller, Marcin Cwiek, Lukasz Zak, Tomasz Lakota, Lukasz Tulczyjew, Michal Kawulok

Remote. Sens., 2021

Unsupervised Feature Learning Using Recurrent Neural Nets for Segmenting Hyperspectral Images.

Lukasz Tulczyjew, Michal Kawulok, Jakub Nalepa

IEEE Geosci. Remote. Sens. Lett., 2021

Investigating the Impact of the Training Set Size on Deep Learning-Powered Hyperspectral Unmixing.

Lukasz Tulczyjew, Jakub Nalepa

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Hyperspectral Band Selection Using Attention-Based Convolutional Neural Networks.

Pablo Ribalta Lorenzo, Lukasz Tulczyjew, Michal Marcinkiewicz, Jakub Nalepa

IEEE Access, 2020

Hyperspectral Image Classification Using Spectral-Spatial Convolutional Neural Networks.

Jakub Nalepa, Lukasz Tulczyjew, Michal Myller, Michal Kawulok

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Segmenting Hyperspectral Images Using Spectral-Spatial Convolutional Neural Networks With Training-Time Data Augmentation.

Jakub Nalepa, Lukasz Tulczyjew, Michal Myller, Michal Kawulok

CoRR, 2019

2018

Band Selection from Hyperspectral Images Using Attention-based Convolutional Neural Networks.

Pablo Ribalta Lorenzo, Lukasz Tulczyjew, Michal Marcinkiewicz, Jakub Nalepa

CoRR, 2018