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Adam Józwik
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2020 – today
- 2021
- [j7]Elzbieta Olejarczyk, Adam Józwik, Vladas Valiulis, Kastytis Dapsys, Giedrius Gerulskis, Arunas Germanavicius:
Statistical Analysis of Graph-Theoretic Indices to Study EEG-TMS Connectivity in Patients With Depression. Frontiers Neuroinformatics 15: 651082 (2021)
2010 – 2019
- 2015
- [c6]Malgorzata Przytulska, Juliusz L. Kulikowski, Adam Józwik:
Morphologic-Statistical Approach to Detection of Lesions in Liver Tissue in Fish. CORES 2015: 461-470 - [c5]Veslava Osinska, Adam Józwik, Grzegorz Osinski:
Mapping evaluation for semantic browsing. FedCSIS 2015: 329-335 - 2011
- [j6]Adam Józwik, Beata Sokolowska, Irena Niebroj-Dobosz, Piotr Janik, Hubert Kwiecinski:
Extraction of biomedical traits for patients with Amyotrophic Lateral Sclerosis using parallel and hierarchical classifiers. Int. J. Biom. 3(1): 85-94 (2011)
2000 – 2009
- 2009
- [p4]Hanna Goszczynska, Leszek Kowalczyk, Marek Doros, Krystyna Kolebska, Adam Józwik, Stanislaw Dec, Ewa Zalewska, Jan Miszczak:
Analysis of Variability of Isopotential Areas Features in Sequences of EEG Maps. Computer Recognition Systems 3 2009: 407-414 - [p3]Annamonika Dulewicz, Adam Józwik, Pawel Jaszczak, Boguslaw D. Pietka:
Recognition of Neoplastic Changes in Digital Images of Exfoliated Nuclei of Urinary Bladder - A New Approach to Classification Method. Computer Recognition Systems 3 2009: 479-487 - 2008
- [p2]Beata Sokolowska, Agnieszka Rekawek, Adam Józwik:
Recognition of the Ventilatory Response to the Intermittent Chemical Stimuli in Awake Animals. Information Technologies in Biomedicine 2008: 488-494 - [p1]Beata Sokolowska, Adam Józwik:
Recognition of Cycles of Repeated Hypoxia on the Basis of Time Periods in Biological Model. Computer Recognition Systems 2 2008: 778-785 - 2005
- [c4]Adam Józwik, Pawel Kies:
Reference Set Size Reduction for 1-NN Rule Based on Finding Mutually Nearest and Mutually Furthest Pairs of Points. CORES 2005: 195-202
1990 – 1999
- 1998
- [j5]Adam Józwik, Sebastiano B. Serpico, Fabio Roli:
A parallel network of modified 1-NN and k-NN classifiers - Application to remote-sensing image classification. Pattern Recognit. Lett. 19(1): 57-62 (1998) - 1997
- [c3]Massimo Mari, Carlo Dambra, Dmitry Chetverikov, Judit Verestóy, Adam Józwik, Mariusz Nieniewski, Leszek Chmielewski, Marek Sklodowski, Waldemar Cudny, Martin Lugg:
The CRASH Project: Defect Detection and Classification in Ferrite Cores. ICIAP (2) 1997: 781-787 - 1996
- [j4]Chi Hau Chen, Adam Józwik:
A sample set condensation algorithm for the class sensitive artificial neural network. Pattern Recognit. Lett. 17(8): 819-823 (1996) - [c2]Chi Hau Chen, Adam Józwik:
On the small sample behavior of the class-sensitive neural network. ICPR 1996: 209-213 - [c1]Adam Józwik, Leszek Chmielewski, Waldemar Cudny, Marek Sklodowski:
A 1-NN preclassifier for fuzzy k-NN rule. ICPR 1996: 234-238
1980 – 1989
- 1983
- [j3]Adam Józwik:
A recursive method for the investigation of the linear separability of two sets. Pattern Recognit. 16(4): 429-431 (1983) - [j2]Adam Józwik:
A learning scheme for a fuzzy k-NN rule. Pattern Recognit. Lett. 1(5-6): 287-289 (1983) - [j1]Adam Józwik:
A method for solving the n-dimensional convex hull problem. Pattern Recognit. Lett. 2(1): 23-25 (1983)
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