Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Marcin Kuta"'
Autor:
Marcin Kuta
Publikováno v:
Computer Science, Vol 5, Iss 1, Pp 41-54 (2003)
Exception handling is nowadays a necessary component of error proof information systems. The paper presents overview of techniques and models of exception handling, problems connected with them and potential solutions. The aspects of implementation o
Externí odkaz:
https://doaj.org/article/2b70487b3f064d50813ced0b7b6d73cd
Autor:
Marcin Kuta, Jacek Kitowski
Publikováno v:
Computer Science, Vol 12, p 19 (2011)
Natural Language Processing algorithms are resource demanding, especially when tuning toinflective language like Polish is needed. The paper presents time and memory requirementsof part of speech tagging and clustering algorithms applied to two corpo
Externí odkaz:
https://doaj.org/article/26507ac8664d4d95931ea3cec608fb61
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030504328
ICCS (6)
ICCS (6)
This paper presents a Python library to simulate different kinds of quantum finite automata on a classical computer. The library also provides tools for language generation and visual representation of simulation results. We have conducted experiment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b7d989e59dafcf8f46f8e5c551b6002
https://doi.org/10.1007/978-3-030-50433-5_34
https://doi.org/10.1007/978-3-030-50433-5_34
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030504168
ICCS (2)
ICCS (2)
Character n-grams are widely used in text categorization problems and are the single most successful type of feature in authorship attribution. Their primary advantage is language independence, as they can be applied to a new language with no additio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13d45a84e1518d91a2e4cda08e8c72f5
https://doi.org/10.1007/978-3-030-50417-5_39
https://doi.org/10.1007/978-3-030-50417-5_39
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030504168
ICCS (2)
ICCS (2)
Automatic personality recognition from source code is a scarcely explored problem. We propose personality recognition with handcrafted features, based on lexical, syntactic and semantic properties of source code. Out of 35 proposed features, 22 featu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81b9d9cce686595760a5fc1097cfa67a
https://doi.org/10.1007/978-3-030-50417-5_26
https://doi.org/10.1007/978-3-030-50417-5_26
Autor:
Marcin Kuta, Paweł Batko
Publikováno v:
The Journal of Supercomputing. 74:1485-1496
This paper describes actor system of a new functional language called Anemone and compares it with actor systems of Scala and Erlang. Implementation details of the actor system are described. Performance evaluation is provided on sequential and concu
Autor:
Marcin Kuta, Paweł Batko
Publikováno v:
Parallel Processing and Applied Mathematics ISBN: 9783319780535
PPAM (2)
PPAM (2)
This paper describes actor system of a new functional language called Anemone and compares it with actor systems of Scala and Erlang. Implementation details of the actor system are described. Performance evaluation is provided on sequential and concu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfa9ae5bb00975935f204232ff43bc98
https://doi.org/10.1007/978-3-319-78054-2_20
https://doi.org/10.1007/978-3-319-78054-2_20
Autor:
Andrzej, Gryglewski, Marcin, Kuta, Artur, Pasternak, Zdzisław, Opach, Jerzy, Walocha, Piotr, Richter
Publikováno v:
Folia medica Cracoviensia. 56(3)
Upside-down stomach (UDS) represents the rarest type of hiatal hernia (5%) and is characterized by herniation of the entire stomach or most gastric portions into the posterior mediastinum. We present here a very rare complication of such a condition
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783319590622
ICAISC (1)
ICAISC (1)
This paper discusses author profiling of English-language mails and blogs using Classification Restricted Boltzmann Machines. We propose an author profiling framework with no need for handcrafted features and only minor use of text preprocessing and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d384d892ab85b74c3da615c379e2ecc5
https://doi.org/10.1007/978-3-319-59063-9_1
https://doi.org/10.1007/978-3-319-59063-9_1
Publikováno v:
Text, Speech, and Dialogue ISBN: 9783319642055
TSD
TSD
Advances in neural network models and deep learning mark great impact on sentiment analysis, where models based on recursive or convolutional neural networks show state-of-the-art results leaving behind non-neural models like SVM or traditional lexic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdfc3f0250b1d9a24a4d1fb3549df5e0
https://doi.org/10.1007/978-3-319-64206-2_9
https://doi.org/10.1007/978-3-319-64206-2_9