Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Karol Draszawka"'
Autor:
Karol Draszawka, Julian Szymański
Publikováno v:
Applied Sciences, Vol 13, Iss 13, p 7591 (2023)
In this paper, we propose a novel approach for obtaining predictions from per-class scores to improve the accuracy of multi-label classification systems. In a multi-label classification task, the expected output is a set of predicted labels per each
Externí odkaz:
https://doaj.org/article/f14aaa19dd7a444294fe8d10842b6394
Publikováno v:
Annals of computer science and information systems, Vol 8, Pp 527-532 (2016)
Externí odkaz:
https://doaj.org/article/a844646cd8ce43f4812124533c8d8ff9
Autor:
Szymański, Karol Draszawka, Julian
Publikováno v:
Applied Sciences; Volume 13; Issue 13; Pages: 7591
In this paper, we propose a novel approach for obtaining predictions from per-class scores to improve the accuracy of multi-label classification systems. In a multi-label classification task, the expected output is a set of predicted labels per each
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::e45f7c776617ca35aaae03ae644d60f5
Autor:
Adam Brzeski, Jan Cychnerski, Krystyna Dziubich, Paweł Rościszewski, Tomasz Dziubich, Waldemar Korłub, Karol Draszawka
Publikováno v:
ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium ISBN: 9783030558130
ADBIS/TPDL/EDA Workshops
ADBIS/TPDL/EDA Workshops
One of the latest developments made by publishing companies is introducing mixed and augmented reality to their printed media (e.g. to produce augmented books). An important computer vision problem that they are facing is classification of book pages
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0cbc6213aa2daa638c26defc998a9fab
https://doi.org/10.1007/978-3-030-55814-7_14
https://doi.org/10.1007/978-3-030-55814-7_14
Publikováno v:
HSI
Typical approaches to string comparing marks two strings as either different or equal without taking into account any similarity measures. Being able to judge similarity is however required for spelling error corrections, as we want to f nd the best
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de4b1a56e33595c7de37fe0016f28d02
https://doi.org/10.1109/hsi.2018.8431345
https://doi.org/10.1109/hsi.2018.8431345
Autor:
Julian Szymański, Karol Draszawka
Publikováno v:
Computational Collective Intelligence ISBN: 9783319670768
ICCCI (2)
ICCCI (2)
The paper analyzes some properties of denoising autoencoders using the problem of misspellings correction as an exemplary task. We evaluate the capacity of the network in its classical feed-forward form. We also propose a modification to the output l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1f282811dcd1a04a22b380a0d453b05
https://doi.org/10.1007/978-3-319-67077-5_42
https://doi.org/10.1007/978-3-319-67077-5_42
Publikováno v:
FedCSIS
Annals of computer science and information systems, Vol 8, Pp 527-532 (2016)
Annals of computer science and information systems, Vol 8, Pp 527-532 (2016)
The paper analyzes existing approaches for approximate string matching based on linear search with Levenshtein distance, AllScan and CPMerge algorithms using cosine, Jaccard and Dice distance measures. The methods are presented and compared to our ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1293597129260d2f2d58dea301375386
https://doi.org/10.15439/2016f311
https://doi.org/10.15439/2016f311
Publikováno v:
Semantic Keyword-Based Search on Structured Data Sources ISBN: 9783319279312
International KEYSTONE Conference
International KEYSTONE Conference
This paper presents a new approach to improve the performance of a css-k-NN classifier for categorization of text documents. The css-k-NN classifier i.e., a threshold-based variation of a standard k-NN classifier we proposed in [1] is a lazy-learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f62b4e44a13d7d94e0bdeeb28e560166
https://doi.org/10.1007/978-3-319-27932-9_5
https://doi.org/10.1007/978-3-319-27932-9_5
Publikováno v:
Studies in Computational Intelligence ISBN: 9783319047133
Intelligent Tools for Building a Scientific Information Platform
Intelligent Tools for Building a Scientific Information Platform
In the chapter we propose methods for identifying new associations between Wikipedia categories. The first method is based on Bag-of-Words (BOW) representation of Wikipedia articles. Using similarity of the articles belonging to different categories
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a2a97068d0b6ab113799b8391611042
https://doi.org/10.1007/978-3-319-04714-0_4
https://doi.org/10.1007/978-3-319-04714-0_4
Autor:
Karol Draszawka, Julian Szymański
Publikováno v:
HSI
This article presents an overview of thresholding methods for labeling objects given a list of candidate classes' scores. These methods are essential to multi-label classification tasks, especially when there are a lot of classes which are organized
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b97642ea3e0d8ccd82c3e988610651b8
https://doi.org/10.1109/hsi.2013.6577846
https://doi.org/10.1109/hsi.2013.6577846