Marcin L. Kowalski
Warsaw, MZ 00908, Poland
Last Updated: 09/26/2026
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Found 16 publications
Explainable and secure federated learning for privacy-enhancing skin cancer classification using a lightweight multi-scale CNN.
Journal: Scientific reports
Published: November 04, 2025
Tribological Performance of Bronze Engineering Materials with Environmentally Friendly Lubricants Under Starved Lubrication Conditions.
Journal: Materials (Basel, Switzerland)
Published: May 24, 2025
Publisher Correction: A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI images.
Journal: Scientific reports
Published: March 12, 2025
Tribological Properties of Selected Ionic Liquids in Lubricated Friction Nodes.
Journal: Materials (Basel, Switzerland)
Published: October 24, 2024
A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI images.
Journal: Scientific reports
Published: September 10, 2024
Enhancing agriculture through real-time grape leaf disease classification via an edge device with a lightweight CNN architecture and Grad-CAM.
Journal: Scientific reports
Published: February 01, 2024
Ensemble classification of integrated CT scan datasets in detecting COVID-19 using feature fusion from contourlet transform and CNN.
Journal: Scientific reports
Published: March 06, 2023
Detection of various lung diseases including COVID-19 using extreme learning machine algorithm based on the features extracted from a lightweight CNN architecture.
Journal: Biocybernetics and biomedical engineering
Published: December 18, 2022
Thermal-Visible Face Recognition Based on CNN Features and Triple Triplet Configuration for On-the-Move Identity Verification.
Journal: Sensors (Basel, Switzerland)
Published: May 27, 2022
Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19.
Journal: Expert systems with applications
Published: May 01, 2022
Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images.
Journal: Computers in biology and medicine
Published: January 25, 2022
Detection of Inflatable Boats and People in Thermal Infrared with Deep Learning Methods.
Journal: Sensors (Basel, Switzerland)
Published: June 27, 2021
Last Updated: 09/26/2026