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Maciej Wielgosz
Observed names:
M. Wielgosz,
MACIEJ WIELGOSZ,
Wielgosz Maciej,
Wielgosz, Maciej
Institutions:
Alma Mater Europaea,
Norwegian Institute of Bioeconomy Research,
AGH University of Krakow
Observed institutions:
Jagiellonian University,
Norwegian University of Science and Technology,
Alma Mater Europaea,
Norwegian Institute of Bioeconomy Research,
Akademickie Centrum Komputerowe Cyfronet AGH,
AGH University of Krakow
show all 6
ORCID:
0000-0002-4401-2957
Observed ORCID:
0000-0002-4401-2957
OpenAlex ID:
A5045630744
Automated forest inventory: Analysis of high-density airborne LiDAR point clouds with 3D deep learning
2024
·
Binbin Xiang
, Maciej Wielgosz
, et al.
·
Remote Sensing of Environment
·
151
SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data
2024
·
Maciej Wielgosz
, Stefano Puliti
, et al.
·
Remote Sensing of Environment
·
126
Using LSTM recurrent neural networks for monitoring the LHC superconducting magnets
2017
·
Maciej Wielgosz
, Andrzej Skoczeń
, et al.
·
Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment
·
82
PDF
Roadmap on artificial intelligence and big data techniques for superconductivity
2023
·
Mohammad Yazdani-Asrami
, Wenjuan Song
, et al.
·
Superconductor Science and Technology
·
66
PDF
Predictive Maintenance of Induction Motors Using Ultra-Low Power Wireless Sensors and Compressed Recurrent Neural Networks
2019
·
Michal Markiewicz
, Maciej Wielgosz
, et al.
·
IEEE Access
·
49
PDF
Modified U-Net with attention gate for enhanced automated brain tumor segmentation
2025
·
Shoffan Saifullah
, Rafał Dreżewski
, et al.
·
Neural Computing and Applications
·
42
Point2Tree(P2T)—Framework for Parameter Tuning of Semantic and Instance Segmentation Used with Mobile Laser Scanning Data in Coniferous Forest
2023
·
Maciej Wielgosz
, Stefano Puliti
, et al.
·
Remote Sensing
·
39
PDF
FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees
2023
·
Puliti, Stefano
, Pearse, Grant
, et al.
·
arXiv (Cornell University)
·
32
PDF
Mapping Neural Networks to FPGA-Based IoT Devices for Ultra-Low Latency Processing
2019
·
Maciej Wielgosz
, Michał Karwatowski
·
Sensors
·
29
PDF
Highly Efficient Structure of 64-Bit Exponential Function Implemented in FPGAs
2008
·
Maciej Wielgosz
, Ernest Jamro
, et al.
·
Lecture notes in computer science
·
26
FPGA Implementation of 64-Bit Exponential Function for HPC
2007
·
Ernest Jamro
, Kazimierz Wiatr
, et al.
·
International Conference on Field Programmable Logic and Applications (FPL)
·
25
Methodologies of Compressing a Stable Performance Convolutional Neural Networks in Image Classification
2019
·
Mo’taz Al-Hami
, Marcin Pietron
, et al.
·
Neural Processing Letters
·
24
The model of an anomaly detector for HiLumi LHC magnets based on Recurrent Neural Networks and adaptive quantization
2018
·
Maciej Wielgosz
, Matej Mertik
, et al.
·
Engineering Applications of Artificial Intelligence
·
23
PDF
Retrain or Not Retrain? - Efficient Pruning Methods of Deep CNN Networks
2020
·
Marcin Pietron
, Maciej Wielgosz
·
Lecture notes in computer science
·
22
Comparison of GPU and FPGA Implementation of SVM Algorithm for Fast Image Segmentation
2013
·
Marcin Pietron
, Maciej Wielgosz
, et al.
·
Lecture notes in computer science
·
22
FPGA implementation of the dynamic Huffman Encoder
2006
·
Ernest Jamro
, Maciej Wielgosz
, et al.
·
IFAC Proceedings Volumes
·
21
FPGA – ARM Heterogeneous System for High Speed Signal Analysis
2011
·
Ernest Jamro
, Maciej Wielgosz
, et al.
·
Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena
·
16
FPGA Implementaton of Strongly Parallel Histogram Equalization
2007
·
Ernest Jamro
, Maciej Wielgosz
, et al.
·
IEEE International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS)
·
15
Compression of Convolutional Neural Network for Natural Language Processing
2020
·
Krzysztof Wróbel
, Michał Karwatowski
, et al.
·
Computer Science
·
14
ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds
2025
·
Binbin Xiang
, Maciej Wielgosz
, et al.
·
IEEE/CVF International Conference on Computer Vision (ICCV)
·
13
How Does Super-Resolution for Satellite Imagery Affect Different Types of Land Cover? Sentinel-2 Case
2023
·
Anna Malczewska
, Maciej Wielgosz
·
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
·
13
PDF
Protection of Superconducting Industrial Machinery Using RNN-Based Anomaly Detection for Implementation in Smart Sensor
2018
·
Maciej Wielgosz
, Andrzej Skoczeń
, et al.
·
Sensors
·
13
PDF
Using Spatial Pooler of Hierarchical Temporal Memory to classify noisy videos with predefined complexity
2017
·
Maciej Wielgosz
, Marcin Pietroń
·
Neurocomputing
·
12
PDF
Formal Analysis of HTM Spatial Pooler Performance Under Predefined Operation Conditions
2016
·
Marcin Pietroń
, Maciej Wielgosz
, et al.
·
Lecture notes in computer science
·
12
PDF
Deep Reinforcement and IL for Autonomous Driving: A Review in the CARLA Simulation Environment
2025
·
Piotr Czechowski
, Bartosz Kawa
, et al.
·
Applied Sciences
·
11
PDF
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Works count:
153
Citation count:
1,150
H-index:
16
I10-index:
27
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