activity
20162023
most citedConvolutional neural network compression for natural language processing

10 citations · 10 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2023

Computer-Aided Cytology Diagnosis in Animals: CNN-Based Image Quality Assessment for Accurate Disease Classification

Jan Krupiński, Maciej Wielgosz, Szymon Mazurek +12

This paper presents a computer-aided cytology diagnosis system designed for animals, focusing on image quality assessment (IQA) using Convolutional Neural Networks (CNNs). The syst…

cs.LG2023

Using simulation to calibrate real data acquisition in veterinary medicine

Krystian Strzałka, Szymon Mazurek, Maciej Wielgosz +12

This paper explores the innovative use of simulation environments to enhance data acquisition and diagnostics in veterinary medicine, focusing specifically on gait analysis in dogs…

cs.CV2023

Using super-resolution for enhancing visual perception and segmentation performance in veterinary cytology

Jakub Caputa, Maciej Wielgosz, Daria Łukasik +11

The primary objective of this research was to enhance the quality of semantic segmentation in cytology images by incorporating super-resolution (SR) architectures. An additional co…

cs.CV2023

Segmentation of the veterinary cytological images for fast neoplastic tumors diagnosis

Jakub Grzeszczyk, Michał Karwatowski, Daria Łukasik +11

This paper shows the machine learning system which performs instance segmentation of cytological images in veterinary medicine. Eleven cell types were used directly and indirectly…

cs.CL2018★ 10 cited

Convolutional neural network compression for natural language processing

Krzysztof Wróbel, Marcin Pietroń, Maciej Wielgosz +2

Convolutional neural networks are modern models that are very efficient in many classification tasks. They were originally created for image processing purposes. Then some trials w…

cs.AI2016

Formal analysis of HTM Spatial Pooler performance under predefined operation conditions

M. Pietron, M. Wielgosz, K. Wiatr

This paper introduces mathematical formalism for Spatial (SP) of Hierarchical Temporal Memory (HTM) with a spacial consideration for its hardware implementation. Performance of HTM…