Lukasz Tulczyjew

29 papers A 1B 1C 8Journal 15Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Monitoring Forest Changes With Foundation Models and Sentinel-2 Time Series. IEEE Geosci. Remote. Sens. Lett. Jakub Sadel, Lukasz Tulczyjew, Agata M. Wijata, Mateusz Przeliorz, Jakub Nalepa
2024	A	`conf`	CANNIBAL Unveils the Hidden Gems: Hyperspectral Band Selection via Clustering of Weighted Variable Interaction Graphs. GECCO Lukasz Tulczyjew, Michal Przewozniczek, Renato Tinós, Agata M. Wijata, Jakub Nalepa
2024	C	`conf`	Convolutional neural networks estimate root-zone soil moisture from hyperspectral images. VCIP Lukasz Tulczyjew, Bogdan Ruszczak, Michal Myller, Agata M. Wijata, Dominika Boguszewska-Mankowska, Jakub Nalepa
2024	C	`conf`	Estimating Soil Parameters from Hyperspectral Imagesusing Ensembles of Classic and Deep Machine Learning Models. IGARSS Wiktor Gacek, Lukasz Tulczyjew, Agata M. Wijata, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
2024	C	`conf`	Intuition-1: Toward In-Orbit Bare Soil Detection Using Spectral Vegetation Indices. IGARSS Agata M. Wijata, Tomasz Lakota, Marcin Cwiek, Bogdan Ruszczak, Michal Gumiela, Lukasz Tulczyjew, Andrzej Bartoszek, Nicolas Longépé, Krzysztof Smykala, Jakub Nalepa
2024	—	`conf`	LLMcap: Large Language Model for Unsupervised PCAP Failure Detection. ICC Workshops Lukasz Tulczyjew, Kinan Jarrah, Charles Abondo, Dina Bennett, Nathanael Weill
2024	J	`jnl`	LLMcap: Large Language Model for Unsupervised PCAP Failure Detection. CoRR Lukasz Tulczyjew, Kinan Jarrah, Charles Abondo, Dina Bennett, Nathanael Weill
2024	—	`conf`	PCAPVision: PCAP-Based High-Velocity and Large-Volume Network Failure Detection. NAIC Lukasz Tulczyjew, Ihor Biruk, Murat Bilgic, Charles Abondo, Nathanael Weill
2024	J	`jnl`	PCAPVision: PCAP-Based High-Velocity and Large-Volume Network Failure Detection. CoRR Lukasz Tulczyjew, Ihor Biruk, Murat Bilgic, Charles Abondo, Nathanael Weill
2024	—	`conf`	Particle Swarm Optimization Meets Deep Learning for Estimating Root-Zone Soil Moisture from Hyperspectral Images. GECCO Companion Bogdan Ruszczak, Michal Myller, Lukasz Tulczyjew, Agata Wijata, Jakub Nalepa
2024	J	`jnl`	Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI. CoRR Vladimir Zaigrajew, Hubert Baniecki, Lukasz Tulczyjew, Agata M. Wijata, Jakub Nalepa, Nicolas Longépé, Przemyslaw Biecek
2024	C	`conf`	Soil Analysis with Very Few Labels Using Semi-Supervised Hyperspectral Image Classification. IGARSS Bartosz Grabowski, Agata M. Wijata, Lukasz Tulczyjew, Bertrand Le Saux, Jakub Nalepa
2024	J	`jnl`	Standardized validation of vehicle routing algorithms. Appl. Intell. Tomasz Jastrzab, Michal Myller, Lukasz Tulczyjew, Miroslaw Blocho, Michal Kawulok, Adam Czornik, Jakub Nalepa
2023	C	`conf`	Unbiased Validation of Hyperspectral Unmixing Algorithms. IGARSS Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
2022	J	`jnl`	A Multibranch Convolutional Neural Network for Hyperspectral Unmixing. CoRR Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
2022	J	`jnl`	A Multibranch Convolutional Neural Network for Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
2022	C	`conf`	Extracting High-Resolution Cultivated Land Maps from Sentinel-2 Image Series. IGARSS Tomasz Tarasiewicz, Lukasz Tulczyjew, Michal Myller, Michal Kawulok, Nicolas Longépé, Jakub Nalepa
2022	J	`jnl`	Graph Neural Networks Extract High-Resolution Cultivated Land Maps From Sentinel-2 Image Series. IEEE Geosci. Remote. Sens. Lett. Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
2022	J	`jnl`	Graph Neural Networks Extract High-Resolution Cultivated Land Maps from Sentinel-2 Image Series. CoRR Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
2022	—	`conf`	Particle Swarm Optimization Configures the Route Minimization Algorithm. ICCS (1) Tomasz Jastrzab, Michal Myller, Lukasz Tulczyjew, Miroslaw Blocho, Wojciech Ryczko, Michal Kawulok, Jakub Nalepa
2022	B	`conf`	The Hyperview Challenge: Estimating Soil Parameters from Hyperspectral Images. ICIP Jakub Nalepa, Bertrand Le Saux, Nicolas Longépé, Lukasz Tulczyjew, Michal Myller, Michal Kawulok, Krzysztof Smykala, Michal Gumiela
2021	J	`jnl`	Deep Ensembles for Hyperspectral Image Data Classification and Unmixing. Remote. Sens. Jakub Nalepa, Michal Myller, Lukasz Tulczyjew, Michal Kawulok
2021	C	`conf`	Investigating the Impact of the Training Set Size on Deep Learning-Powered Hyperspectral Unmixing. IGARSS Lukasz Tulczyjew, Jakub Nalepa
2021	J	`jnl`	Towards On-Board Hyperspectral Satellite Image Segmentation: Understanding Robustness of Deep Learning through Simulating Acquisition Conditions. Remote. Sens. Jakub Nalepa, Michal Myller, Marcin Cwiek, Lukasz Zak, Tomasz Lakota, Lukasz Tulczyjew, Michal Kawulok
2021	J	`jnl`	Unsupervised Feature Learning Using Recurrent Neural Nets for Segmenting Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. Lukasz Tulczyjew, Michal Kawulok, Jakub Nalepa
2020	J	`jnl`	Hyperspectral Band Selection Using Attention-Based Convolutional Neural Networks. IEEE Access Pablo Ribalta Lorenzo, Lukasz Tulczyjew, Michal Marcinkiewicz, Jakub Nalepa
2020	C	`conf`	Hyperspectral Image Classification Using Spectral-Spatial Convolutional Neural Networks. IGARSS Jakub Nalepa, Lukasz Tulczyjew, Michal Myller, Michal Kawulok
2019	J	`jnl`	Segmenting Hyperspectral Images Using Spectral-Spatial Convolutional Neural Networks With Training-Time Data Augmentation. CoRR Jakub Nalepa, Lukasz Tulczyjew, Michal Myller, Michal Kawulok
2018	J	`jnl`	Band Selection from Hyperspectral Images Using Attention-based Convolutional Neural Networks. CoRR Pablo Ribalta Lorenzo, Lukasz Tulczyjew, Michal Marcinkiewicz, Jakub Nalepa