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researcher

Michał Karwatowski

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.CL1
  • cs.LG1
ORCID 0000-0001-6285-136X
same name
  • Michał Karwatowski — 2 papers, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedContext based lemmatizer for Polish language

3 citations · 3 across the 4 of their papers we have counts for

collaborators

4 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

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.CL2022★ 3 cited

Context based lemmatizer for Polish language

Michal Karwatowski, Marcin Pietron

Lemmatization is the process of grouping together the inflected forms of a word so they can be analysed as a single item, identified by the word's lemma, or dictionary form. In com…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.