Masaryk University

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    2023

    1. Extraction, labeling, clustering, and semantic mapping of segments from clinical notes
      ZELINA, Petr, Jana HALÁMKOVÁ and Vít NOVÁČEK. Extraction, labeling, clustering, and semantic mapping of segments from clinical notes. IEEE TRANSACTIONS ON NANOBIOSCIENCE. UNITED STATES: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, vol. 22, No 4, p. 781-788. ISSN 1536-1241. doi:10.1109/TNB.2023.3275195. 2023.
      URL
      RIV/00216224:14330/23:00131334 Article in a journal. English. United States of America.
      Zelina, Petr (203 Czech Republic, guarantor, belonging to the institution) -- Halámková, Jana (203 Czech Republic, belonging to the institution) -- Nováček, Vít (203 Czech Republic, belonging to the institution)
      Keywords in English: NLP; EHR; Clinical Notes; Information Extraction; Text Classification
      International impact: yes
      Reviewed: yes
      Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 7/4/2024 23:08.
      More: https://is.muni.cz/publication/2300099/en
    2. Machine Learning–Assisted Recurrence Prediction for Patients With Early-Stage Non–Small-Cell Lung Cancer
      JANIK, Adrianna, Maria TORRENTE, Luca COSTABELLO, Virginia CALVO, Brian WALSH, Carlos CAMPS, Sameh K MOHAMED, Ana L ORTEGA, Vít NOVÁČEK, Bartomeu MASSUTÍ, Pasquale MINERVINI, M Rosario GARCIA CAMPELO, Edel del BARCO, Joaquim BOSCH-BARRERA, Ernestina MENASALVAS, Mohan TIMILSINA and Mariano PROVENCIO. Machine Learning–Assisted Recurrence Prediction for Patients With Early-Stage Non–Small-Cell Lung Cancer. JCO CLINICAL CANCER INFORMATICS. UNITED STATES: LIPPINCOTT WILLIAMS & WILKINS, vol. 7, e2200062, p. 1-11. ISSN 2473-4276. doi:10.1200/CCI.22.00062. 2023.
      URL
      Name (in English): Machine Learning–Assisted Recurrence Prediction for Patients With Early-Stage Non–Small-Cell Lung Cancer
      RIV/00216224:14330/23:00131337 Article in a journal. English. United States of America.
      Janik, Adrianna (guarantor) -- Nováček, Vít (203 Czech Republic, belonging to the institution)
      Keywords in English: relapse prediction; machine learning; explainability; health informatics; lung cancer
      International impact: yes
      Reviewed: yes
      Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 10/4/2024 10:40.
      More: https://is.muni.cz/publication/2300102/en

    2022

    1. AI for Cancer Patient Empowerment - Interim Results of the AIcope Project
      NOVACEK, Vít, Marko ŘEHÁČEK, Petr ZELINA and Jana HALÁMKOVÁ. AI for Cancer Patient Empowerment - Interim Results of the AIcope Project. 2022.
      Name (in English): AI for Cancer Patient Empowerment - Interim Results of the AIcope Project
      English. Czech Republic.
      Keywords in English: patient empowement; oncology; AI
      Type of participation: requested lecture
      Changed by: doc. Mgr. Bc. Vít Nováček, PhD, učo 4049. Changed: 31/1/2023 18:30.
      More: https://is.muni.cz/publication/2251603/en
    2. An Artificial Intelligence-Based Tool for Data Analysis and Prognosis in Cancer Patients: Results from the Clarify Study
      TORRENTE, María, Pedro A SOUSA, Roberto HERNÁNDEZ, Mariola BLANCO, Virginia Calvo Ana COLLAZO, Gracinda R GUERREIRO, Beatriz NÚÑEZ, Joao PIMENTAO, Juan Cristóbal SÁNCHEZ, Manuel CAMPOS, Luca COSTABELLO, Vít NOVÁČEK, Ernestina MENASALVAS, María Esther VIDAL, Mariano PROVENCIO and Virginia CALVO. An Artificial Intelligence-Based Tool for Data Analysis and Prognosis in Cancer Patients: Results from the Clarify Study. CANCERS. SWITZERLAND: MDPI, vol. 14, No 16, p. 1-10. ISSN 2072-6694. doi:10.3390/cancers14164041. 2022.
      original online article
      RIV/00216224:14330/22:00127570 Article in a journal. English. Switzerland.
      Nováček, Vít (203 Czech Republic, guarantor, belonging to the institution)
      Keywords in English: artificial intelligence; data integration; cancer patients; patient stratification; precision oncology; decision support system
      International impact: yes
      Reviewed: yes
      Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 6/4/2023 13:36.
      More: https://is.muni.cz/publication/2241660/en
    3. Boundary heat diffusion classifier for a semi-supervised learning in a multilayer network embedding
      TIMILSINA, Mohan, Vít NOVÁČEK, Mathieu DAQUIN and Haixuan YANG. Boundary heat diffusion classifier for a semi-supervised learning in a multilayer network embedding. NEURAL NETWORKS. ENGLAND: PERGAMON-ELSEVIER SCIENCE LTD, vol. 156, No 1, p. 205-217. ISSN 0893-6080. doi:10.1016/j.neunet.2022.10.005. 2022.
      original online article
      Name in Czech: Boundary heat diffusion classifier for a semi-supervised learning in a multilayer network embedding
      Name (in English): Boundary heat diffusion classifier for a semi-supervised learning in a multilayer network embedding
      RIV/00216224:14330/22:00127569 Article in a journal. English. Netherlands.
      Nováček, Vít (203 Czech Republic, guarantor, belonging to the institution)
      Keywords in English: diffusion; multi-layer embedding; neural network
      International impact: yes
      Reviewed: yes
      Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 28/3/2023 12:05.
      More: https://is.muni.cz/publication/2241658/en
    4. Integration of Medical and Genomic Information to Enhance Relapse Prediction in Early Stage Lung Cancer Patients
      TIMILSINA, Mohan, Dirk FEY, Adrianna JANIK, Maria TORRENTE, Mariano PROVENCIO, Alberto Cruz BERMUDEZ, Enric CARCERENY, Luca COSTABELLO, Delvys Rodrıguez ABREU, Manuel COBO, Rafael Lopez CASTRO, Reyes BERNABE, Maria GUIRADO, Pasquale MINERVINI and Vít NOVÁČEK. Integration of Medical and Genomic Information to Enhance Relapse Prediction in Early Stage Lung Cancer Patients. In Proceedings of the Annual Symposium of the American Medical Informatics Association. Washington, USA: AMIA. p. 1082-1091. 2022.
      the web of the conference
      Name (in English): Integration of Medical and Genomic Information to Enhance Relapse Prediction in Early Stage Lung Cancer Patients
      English. United States of America.
      Keywords in English: relapse; lung cancer; imputation; machine learning; genomic scores
      Type of proceedings: post-proceedings
      International impact: yes
      Reviewed: yes
      Changed by: doc. Mgr. Bc. Vít Nováček, PhD, učo 4049. Changed: 24/12/2022 15:21.
      More: https://is.muni.cz/publication/2241663/en
    5. Unsupervised extraction, labelling and clustering of segments from clinical notes
      ZELINA, Petr, Jana HALÁMKOVÁ and Vít NOVÁČEK. Unsupervised extraction, labelling and clustering of segments from clinical notes. In Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM). USA: IEEE. p. 1362-1368. ISBN 978-1-6654-6820-6. doi:10.1109/BIBM55620.2022.9995229. 2022.
      arXiv preprint
      Name (in English): Unsupervised extraction, labelling and clustering of segments from clinical notes
      RIV/00216224:14330/22:00127605 Proceedings paper. English. United States of America.
      Zelina, Petr (203 Czech Republic, guarantor, belonging to the institution) -- Halámková, Jana (203 Czech Republic, belonging to the institution) -- Nováček, Vít (203 Czech Republic, belonging to the institution)
      Keywords in English: NLP; EHR; Clinical Notes; Information Extraction; Text Classification
      Type of proceedings: post-proceedings
      International impact: yes
      Reviewed: yes
      Changed by: Mgr. Petr Zelina, učo 469366. Changed: 3/11/2023 10:49.
      More: https://is.muni.cz/publication/2242916/en

    2021

    1. Data-driven Learned Metric Index: an Unsupervised Approach
      SLANINÁKOVÁ, Terézia, Matej ANTOL, Jaroslav OĽHA and Vlastislav DOHNAL. Data-driven Learned Metric Index: an Unsupervised Approach. In 14th International Conference on Similarity Search and Applications (SISAP 2021). Cham: Springer. p. 81-94. ISBN 978-3-030-89656-0. doi:10.1007/978-3-030-89657-7_7. 2021.
      Name (in English): Data-driven Learned Metric Index: an Unsupervised Approach
      RIV/00216224:14330/21:00119191 Proceedings paper. English. Netherlands.
      Slanináková, Terézia (703 Slovakia, belonging to the institution) -- Antol, Matej (703 Slovakia, belonging to the institution) -- Oľha, Jaroslav (703 Slovakia, belonging to the institution) -- Dohnal, Vlastislav (203 Czech Republic, guarantor, belonging to the institution)
      Keywords in English: Index structures; Learned index; Unstructured data; Content-based search; Metric space; Machine learning
      Type of proceedings: pre-proceedings
      International impact: yes
      Reviewed: yes
      Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 29/4/2022 08:12.
      More: https://is.muni.cz/publication/1790340/en
    2. Ensembling Math Information Retrieval Systems: MIRMU and MSM at ARQMath 2021
      NOVOTNÝ, Vít, Michal ŠTEFÁNIK, Dávid LUPTÁK, Martin GELETKA, Petr ZELINA and Petr SOJKA. Ensembling Math Information Retrieval Systems: MIRMU and MSM at ARQMath 2021. In CEUR Workshop Proceedings, Volume 2936: 2021 Working Notes of CLEF - Conference and Labs of the Evaluation Forum, CLEF-WN 2021. Bucharest, Romania: CEUR-WS. p. 82-106. ISSN 1613-0073. 2021.
      PDF
      RIV/00216224:14330/21:00121922 Proceedings paper. English. Romania.
      Novotný, Vít (203 Czech Republic, belonging to the institution) -- Štefánik, Michal (703 Slovakia, belonging to the institution) -- Lupták, Dávid (703 Slovakia, belonging to the institution) -- Geletka, Martin (703 Slovakia, belonging to the institution) -- Zelina, Petr (203 Czech Republic, belonging to the institution) -- Sojka, Petr (203 Czech Republic, guarantor, belonging to the institution)
      Keywords in English: information retrieval; question answering; math representations; math-aware information retrieval; word embeddings; ensembling; voting; ranking; data fusion
      International impact: yes
      Reviewed: yes
      Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 23/5/2022 16:03.
      More: https://is.muni.cz/publication/1781977/en
    3. On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer
      MOHAMED, Sameh K., Brian WALSH, Mohan TIMILSINA, Maria TORRENTE, Fabio FRANCO, Mariano PROVENCIO, Adrianna JANIK, Luca COSTABELLO, Pasquale MINERVINI, Pontus STENETORP and Vít NOVÁČEK. On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer. In Adam B. Wilcox, Randi Foraker, Kensaku Kawamoto, Yves A. Lussier, Nadine McCleary. Proceedings of AMIA 2021 Annual Symposium. San Diego: AMIA. p. 853-862. ISSN 1942-597X. 2021.
      RIV/00216224:14330/21:00125683 Proceedings paper. English. United States of America.
      Nováček, Vít (203 Czech Republic, guarantor, belonging to the institution)
      Keywords in English: machine learning; lung cancer; relapse prediction
      International impact: yes
      Reviewed: yes
      Changed by: doc. Mgr. Bc. Vít Nováček, PhD, učo 4049. Changed: 2/1/2023 10:10.
      More: https://is.muni.cz/publication/1848076/en
    4. One Size Does Not Fit All: Finding the Optimal Subword Sizes for FastText Models across Languages
      NOVOTNÝ, Vít, Eniafe Festus AYETIRAN, Dalibor BAČOVSKÝ, Dávid LUPTÁK, Michal ŠTEFÁNIK and Petr SOJKA. One Size Does Not Fit All: Finding the Optimal Subword Sizes for FastText Models across Languages. In Mitkov, Ruslan and Angelova, Galia. Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021). Varna, Bulgaria: INCOMA Ltd. p. 1068-1074. ISBN 978-954-452-072-4. doi:10.26615/978-954-452-072-4_120. 2021.
      DOI preprint sborníku preprint
      RIV/00216224:14330/21:00122017 Proceedings paper. English. Bulgaria.
      Novotný, Vít (203 Czech Republic, guarantor, belonging to the institution) -- Ayetiran, Eniafe Festus (566 Nigeria, belonging to the institution) -- Bačovský, Dalibor (203 Czech Republic, belonging to the institution) -- Lupták, Dávid (703 Slovakia, belonging to the institution) -- Štefánik, Michal (703 Slovakia, belonging to the institution) -- Sojka, Petr (203 Czech Republic, belonging to the institution)
      Keywords in English: fastText; representation learning; word analogy; hyperparameter optimization; language modeling; language distance
      Type of proceedings: post-proceedings
      International impact: yes
      Reviewed: yes
      Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 23/5/2022 14:55.
      More: https://is.muni.cz/publication/1784399/en
    5. P08. 01 Building Personalized Follow-Up Care Through AI by Bringing the Lung Cancer Patient, Data Scientist and Oncologist Together
      TORRENTE, M., F. FRANCO, V. CALVO, A. Collazo LORDUY, E. MENASALVAS, M. E. VIDAL, P. SOUSA, J. PIMENTAO, Vít NOVÁČEK, P. MINERVINI, D. FEY, L. COSTABELLO, M. POCS and M. PROVENCIO. P08. 01 Building Personalized Follow-Up Care Through AI by Bringing the Lung Cancer Patient, Data Scientist and Oncologist Together. Journal of Thoracic Oncology. Elsevier, vol. 16, No 10, p. 991-992. ISSN 1556-1380. doi:10.1016/j.jtho.2021.08.294. 2021.
      URL
      English. Netherlands.
      Keywords in English: machine learning; lung cancer; relapse; relapse prediction
      International impact: yes
      Reviewed: yes
      Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 31/3/2023 13:59.
      More: https://is.muni.cz/publication/1848074/en

    2020

    1. Cthulhu Hails from Wales: N-gram Frequency Analysis of R'lyehian
      NOVOTNÝ, Vít and Marie STARÁ. Cthulhu Hails from Wales: N-gram Frequency Analysis of R'lyehian. In Aleš Horák, Pavel Rychlý, Adam Rambousek. Proceedings of the Fourteenth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2020. Brno: Tribun EU. p. 87-92. ISBN 978-80-263-1600-8. 2020.
      Domovská stránka workshopu PDF
      RIV/00216224:14330/20:00117107 Proceedings paper. English. Czech Republic.
      Novotný, Vít (203 Czech Republic, guarantor, belonging to the institution) -- Stará, Marie (203 Czech Republic, belonging to the institution)
      Keywords in English: H. P. Lovecraft; language identification; N-grams; R'lyehian
      Type of proceedings: pre-proceedings
      International impact: yes
      Changed by: RNDr. Vít Starý Novotný, Ph.D., učo 409729. Changed: 1/11/2021 09:35.
      More: https://is.muni.cz/publication/1699700/en
    2. Efficient Management and Optimization of Very Large Machine Learning Dataset for Question Answering
      MEDVEĎ, Marek, Radoslav SABOL and Aleš HORÁK. Efficient Management and Optimization of Very Large Machine Learning Dataset for Question Answering. In Aleš Horák. Proceedings of the Fourteenth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2020. Brno: Tribun EU. p. 23-34. ISBN 978-80-263-1600-8. 2020.
      PDF ve sborníku Domovská stránka workshopu
      RIV/00216224:14330/20:00114687 Proceedings paper. English. Czech Republic.
      Medveď, Marek (703 Slovakia, guarantor, belonging to the institution) -- Sabol, Radoslav (703 Slovakia, belonging to the institution) -- Horák, Aleš (203 Czech Republic, belonging to the institution)
      Keywords in English: question answering; dataset management; machine learning; optimization
      International impact: yes
      Changed by: Mgr. Michal Petr, učo 65024. Changed: 16/5/2022 15:07.
      More: https://is.muni.cz/publication/1729476/en
    3. Removing Spam from Web Corpora Through Supervised Learning and Semi-manual Classification of Web Sites
      SUCHOMEL, Vít. Removing Spam from Web Corpora Through Supervised Learning and Semi-manual Classification of Web Sites. In Aleš Horák. Proceedings of the Fourteenth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2020. Brno: Tribun 2020. p. 113-123. ISBN 978-80-263-1600-8. 2020.
      Domovská stránka workshopu PDF ve sborníku
      RIV/00216224:14330/20:00117841 Proceedings paper. English. Czech Republic.
      Suchomel, Vít (203 Czech Republic, guarantor, belonging to the institution)
      Keywords in English: web corpora; web spam; supervised learning
      International impact: yes
      Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 10/5/2021 06:19.
      More: https://is.muni.cz/publication/1729500/en
    4. The Art of Reproducible Machine Learning: A Survey of Methodology in Word Vector Experiments
      NOVOTNÝ, Vít. The Art of Reproducible Machine Learning: A Survey of Methodology in Word Vector Experiments. In Aleš Horák, Pavel Rychlý, Adam Rambousek. Proceedings of the Fourteenth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2020. Brno: Tribun EU. p. 55-64. ISBN 978-80-263-1600-8. 2020.
      PDF Domovská stránka workshopu
      RIV/00216224:14330/20:00117106 Proceedings paper. English. Czech Republic.
      Novotný, Vít (203 Czech Republic, guarantor, belonging to the institution)
      Keywords in English: Machine learning; word vectors; word2vec; fastText; word analogy; reproducibility
      Type of proceedings: pre-proceedings
      International impact: yes
      Changed by: RNDr. Vít Starý Novotný, Ph.D., učo 409729. Changed: 3/1/2023 13:53.
      More: https://is.muni.cz/publication/1699699/en
    5. Three is Better than One: Ensembling Math Information Retrieval Systems
      NOVOTNÝ, Vít, Petr SOJKA, Michal ŠTEFÁNIK and Dávid LUPTÁK. Three is Better than One: Ensembling Math Information Retrieval Systems. CEUR Workshop Proceedings. Thessaloniki, Greece: M. Jeusfeld c/o Redaktion Sun SITE, Informatik V, RWTH Aachen., vol. 2020, No 2696, p. 93-122. ISSN 1613-0073. 2020.
      PDF
      RIV/00216224:14330/20:00116318 Article in a journal. English. Greece.
      Novotný, Vít (203 Czech Republic, belonging to the institution) -- Sojka, Petr (203 Czech Republic, guarantor, belonging to the institution) -- Štefánik, Michal (703 Slovakia, belonging to the institution) -- Lupták, Dávid (703 Slovakia, belonging to the institution)
      Keywords in English: math information retrieval; question answering; math representations; word embeddings; ensembling
      International impact: yes
      Reviewed: yes
      Changed by: RNDr. Vít Starý Novotný, Ph.D., učo 409729. Changed: 3/1/2023 13:53.
      More: https://is.muni.cz/publication/1676805/en
    6. Towards Useful Word Embeddings: Evaluation on Information Retrieval, Text Classification, and Language Modeling
      NOVOTNÝ, Vít, Michal ŠTEFÁNIK, Dávid LUPTÁK and Petr SOJKA. Towards Useful Word Embeddings: Evaluation on Information Retrieval, Text Classification, and Language Modeling. In Aleš Horák and Pavel Rychlý and Adam Rambousek. Proceedings of the Fourteenth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2020. Brno: Tribun EU. p. 37-46. ISBN 978-80-263-1600-8. 2020.
      workshop homepage PDF (fulltext)
      RIV/00216224:14330/20:00117105 Proceedings paper. English. Czech Republic.
      Novotný, Vít (203 Czech Republic, guarantor, belonging to the institution) -- Štefánik, Michal (703 Slovakia, belonging to the institution) -- Lupták, Dávid (703 Slovakia, belonging to the institution) -- Sojka, Petr (203 Czech Republic, belonging to the institution)
      Keywords in English: Evaluation; word vectors; word2vec; fastText; information retrieval; text classification; language modeling
      Type of proceedings: pre-proceedings
      International impact: yes
      Changed by: Mgr. Michal Petr, učo 65024. Changed: 16/5/2022 15:08.
      More: https://is.muni.cz/publication/1699698/en

    2019

    1. Anomaly Detection Using Deep Sparse Autoencoders for CERN Particle Detector Data
      ŠIROKÝ, Filip. Anomaly Detection Using Deep Sparse Autoencoders for CERN Particle Detector Data. 2019.
      Scientific poster
      RIV/00216224:14330/19:00109515 Presentations at conferences. English. Czech Republic.
      Široký, Filip (203 Czech Republic, guarantor, belonging to the institution)
      Keywords in English: artificial intelligence; machine learning; deep learning; anomaly detection; particle detectors
      Type of participation: active participation (giving a lecture, organization, etc.)
      International impact: yes
      Changed by: RNDr. Vít Starý Novotný, Ph.D., učo 409729. Changed: 24/4/2019 23:27.
      More: https://is.muni.cz/publication/1525359/en
    2. Semantically Coherent Vector Space Representations
      SOJKA, Petr and Vít NOVOTNÝ. Semantically Coherent Vector Space Representations. 2019.
      Scientific poster PDF
      RIV/00216224:14330/19:00109517 Presentations at conferences. English. Czech Republic.
      Sojka, Petr (203 Czech Republic, guarantor, belonging to the institution) -- Novotný, Vít (203 Czech Republic, belonging to the institution)
      Keywords in English: artificial intelligence; machine learning; computational linguistics; information retrieval; representation learning; word embeddings; formal concept analysis; transfer learning; word2vec; word2bits
      Type of participation: active participation (giving a lecture, organization, etc.)
      International impact: yes
      Changed by: RNDr. Vít Starý Novotný, Ph.D., učo 409729. Changed: 1/11/2021 09:35.
      More: https://is.muni.cz/publication/1525379/en
    3. Soft Cosine Measure: Capturing Term Similarity in the Bag of Words VSM
      NOVOTNÝ, Vít. Soft Cosine Measure: Capturing Term Similarity in the Bag of Words VSM. 2019.
      Scientific poster
      RIV/00216224:14330/19:00109518 Presentations at conferences. English. Czech Republic.
      Novotný, Vít (203 Czech Republic, guarantor, belonging to the institution)
      Keywords in English: artificial intelligence; machine learning; computational linguistics; information retrieval; question answering; word embeddings; transfer learning; word2vec; word2bits; linear algebra; computational complexity
      Type of participation: active participation (giving a lecture, organization, etc.)
      International impact: yes
      Changed by: RNDr. Vít Starý Novotný, Ph.D., učo 409729. Changed: 1/11/2021 09:35.
      More: https://is.muni.cz/publication/1525396/en
    4. Video699: Interconnecting Lecture Recordings with Study Materials
      ŠTEFÁNIK, Michal and Vít NOVOTNÝ. Video699: Interconnecting Lecture Recordings with Study Materials. 2019.
      Presentation slides Scientific poster
      RIV/00216224:14330/19:00109519 Presentations at conferences. English. Czech Republic.
      Štefánik, Michal (703 Slovakia, guarantor, belonging to the institution) -- Novotný, Vít (203 Czech Republic, belonging to the institution)
      Keywords in English: artificial intelligence; machine learning; digital image processing; information retrieval; Siamese neural networks; convolutional neural networks; deep neural networks; image segmentation; instance segmentation; massive open online courseware
      Type of participation: active participation (giving a lecture, organization, etc.)
      International impact: yes
      Changed by: RNDr. Vít Starý Novotný, Ph.D., učo 409729. Changed: 1/11/2021 09:38.
      More: https://is.muni.cz/publication/1525398/en

    2016

    1. Walker-Independent Features for Gait Recognition from Motion Capture Data
      BALÁŽIA, Michal and Petr SOJKA. Walker-Independent Features for Gait Recognition from Motion Capture Data. In Antonio Robles-Kelly, Marco Loog, Battista Biggio, Francisco Escolano, Richard Wilson. Proceedings of the joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2016) and Statistical Techniques in Pattern Recognition (SPR 2016). LNCS 10029. Switzerland: Springer International Publishing AG. p. 310-321. ISBN 978-3-319-49054-0. doi:10.1007/978-3-319-49055-7_28. 2016.
      DOI conference web
      RIV/00216224:14330/16:00090768 Proceedings paper. Informatics. English. Switzerland.
      Balážia, Michal (703 Slovakia, guarantor, belonging to the institution) -- Sojka, Petr (203 Czech Republic, belonging to the institution)
      Keywords in English: machine learning; classification; gait recognition
      Type of proceedings: pre-proceedings
      International impact: yes
      Reviewed: yes
      Changed by: RNDr. Michal Balážia, Ph.D., učo 256078. Changed: 12/2/2018 17:11.
      More: https://is.muni.cz/publication/1353537/en

    2009

    1. Language Identification on the Web: Extending the Dictionary Method
      ŘEHŮŘEK, Radim and Milan KOLKUS. Language Identification on the Web: Extending the Dictionary Method. In Computational Linguistics and Intelligent Text Processing, 10th International Conference, CICLing 2009, Proceedings. první. Mexico City, Mexico: Springer-Verlag. p. 357-368. ISBN 978-3-642-00381-3. doi:10.1007/978-3-642-00382-0_29. 2009.
      conference website paper URL
      Name in Czech: Language Identification on the Web: Extending the Dictionary Method
      Name (in English): Language Identification on the Web: Extending the Dictionary Method
      RIV/00216224:14330/09:00067120 Proceedings paper. Informatics. English. Mexico.
      Řehůřek, Radim (203 Czech Republic, guarantor, belonging to the institution) -- Kolkus, Milan (703 Slovakia)
      Keywords in English: machine learning; language segmentation; language identification
      Type of proceedings: post-proceedings
      International impact: yes
      Reviewed: yes
      Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 30/4/2014 05:56.
      More: https://is.muni.cz/publication/829305/en

    2008

    1. Automated Classification and Categorization of Mathematical Knowledge
      ŘEHŮŘEK, Radim and Petr SOJKA. Automated Classification and Categorization of Mathematical Knowledge. In Intelligent Computer Mathematics: AISC/Calculemus/MKM LNAI 5144. první. Berlin, Heidelberg, New York: Springer-Verlag. p. 543-557. ISBN 978-3-540--85109-7. 2008.
      web of conference paper preprint Springer Link ACM Portal
      Name in Czech: Automatická klasifikace a kategorizace matematiky
      Name (in English): Automated Classification and Categorization of Mathematical Knowledge
      RIV/00216224:14330/08:00024245 Proceedings paper. Informatics. English. United Kingdom of Great Britain and Northern Ireland.
      Řehůřek, Radim (203 Czech Republic) -- Sojka, Petr (203 Czech Republic, guarantor)
      Keywords in English: machine learning; classification; categorization; similarity of mathematical papers; mathematical knowledge management; MSC;mathematical subject classification
      Type of proceedings: pre-proceedings
      International impact: yes
      Reviewed: yes
      Changed by: doc. RNDr. Petr Sojka, Ph.D., učo 2378. Changed: 22/6/2009 13:22.
      More: https://is.muni.cz/publication/773672/en
    2. Automatic Web Page Classification
      MATERNA, Jiří. Automatic Web Page Classification. In Recent Advances in Slavonic Natural Language Processing. Brno: Faculty of Informatics, Masaryk University. 10 pp. ISBN 978-80-210-4741-9. 2008.
      URL
      Name in Czech: Automatické určení domény a klíčových slov stránky
      Name (in English): Automatic Web Page Classification
      RIV/00216224:14330/08:00042213 Proceedings paper. Informatics. English. Czech Republic.
      Materna, Jiří (203 Czech Republic, guarantor, belonging to the institution)
      Keywords in English: automatic classification; machine learning; thesaurus
      Changed by: RNDr. Jiří Materna, Ph.D., učo 98897. Changed: 28/5/2021 12:00.
      More: https://is.muni.cz/publication/800674/en
    3. Automatická klasifikace transformovaných vět (Classification of transformed sentences)
      KOTT, Petr and Lubomír POPELÍNSKÝ. Automatická klasifikace transformovaných vět (Classification of transformed sentences). In Sborník konference SCO 2008. Brno: PřF MU. 6 pp. ISBN 978-80-210-4613-9. 2008.
      Name (in English): Classification of transformed sentences
      RIV/00216224:14330/08:00035055 Proceedings paper. Informatics. Czech. Czech Republic.
      Kott, Petr (203 Czech Republic) -- Popelínský, Lubomír (203 Czech Republic, guarantor)
      Keywords in English: language learning; transformed sentences; machine learning; classification
      Type of proceedings: pre-proceedings
      Reviewed: yes
      Changed by: doc. RNDr. Lubomír Popelínský, Ph.D., učo 1945. Changed: 16/2/2009 23:47.
      More: https://is.muni.cz/publication/820701/en
    4. DŽEMUj - dobývání znalostí z odpovědníků IS MU (DŽEMUj - data mining in electronic tests in IS MU)
      BRIATKOVÁ, Mária, Zdeněk KEDAJ and Lubomír POPELÍNSKÝ. DŽEMUj - dobývání znalostí z odpovědníků IS MU (DŽEMUj - data mining in electronic tests in IS MU). In Sborník konference SCO 2008. Brno: PřF MU. 6 pp. ISBN 978-80-210-4613-9. 2008.
      Name (in English): DŽEMUj - data mining in electronic tests in IS MU
      RIV/00216224:14330/08:00035056 Proceedings paper. Informatics. Czech. Czech Republic.
      Briatková, Mária (203 Czech Republic) -- Kedaj, Zdeněk (203 Czech Republic) -- Popelínský, Lubomír (203 Czech Republic, guarantor)
      Keywords in English: e-learning; electronic tests; machine learning; visualization
      Type of proceedings: pre-proceedings
      International impact: yes
      Reviewed: yes
      Changed by: doc. RNDr. Lubomír Popelínský, Ph.D., učo 1945. Changed: 16/2/2009 23:55.
      More: https://is.muni.cz/publication/820702/en
    5. From Minds to Pixels and Back
      SOJKA, Petr. From Minds to Pixels and Back. první. Brno: Masarykova univerzita. xvi+209. habilitation thesis. 2008.
      Name in Czech: Od myšlenky v hlavě na papír a zpět
      RIV/00216224:14330/08:00024492 Special-purpose publication. Informatics. English. Czech Republic.
      Sojka, Petr (203 Czech Republic, guarantor)
      Keywords in English: competing patterns;context-sensitive patterns;machine learning;natural language engineering;hyphenation; [Thai text] segmentation;disambiguation;part of speech tagging;digitization;digital libraries;navigation;hypertext;MSC;text classification
      International impact: yes
      Reviewed: yes
      Changed by: doc. RNDr. Petr Sojka, Ph.D., učo 2378. Changed: 23/6/2009 13:52.
      More: https://is.muni.cz/publication/837859/en
    6. Jak mravenčí kolonie dobývají znalosti (How An Ant Colony Mines Data)
      VODÁK, Daniel and Lubomír POPELÍNSKÝ. Jak mravenčí kolonie dobývají znalosti (How An Ant Colony Mines Data). In Sborník 7. ročníku konference Znalosti. Bratislava: STU. p. 291-302. ISBN 978-80-227-2827-0. 2008.
      Name (in English): How An Ant Colony Mines Data
      RIV/00216224:14330/08:00035054 Proceedings paper. Informatics. Czech. Slovakia.
      Vodák, Daniel (203 Czech Republic) -- Popelínský, Lubomír (203 Czech Republic, guarantor)
      Keywords in English: swarm intelligence; ant colony; machine learning; classification
      Type of proceedings: pre-proceedings
      International impact: yes
      Reviewed: yes
      Changed by: doc. RNDr. Lubomír Popelínský, Ph.D., učo 1945. Changed: 16/2/2009 23:41.
      More: https://is.muni.cz/publication/820699/en

    2007

    1. Advanced learning techniques for NLP
      POPELÍNSKÝ, Lubomír. Advanced learning techniques for NLP. In 8th summer school of the European Masters in Language and Speech. 2007.
      Name in Czech: Pokročilé metody učení pro zpracování přirozeného jazyka
      Name (in English): Advanced learning techniques for NLP
      RIV/00216224:14330/07:00041849 Requested lectures. Informatics. Czech. Czech Republic.
      Popelínský, Lubomír (203 Czech Republic, guarantor, belonging to the institution)
      Keywords in English: machine learning; inductive logic programming; natural language processing
      Type of participation: requested lecture
      International impact: yes
      Changed by: doc. RNDr. Lubomír Popelínský, Ph.D., učo 1945. Changed: 3/5/2011 06:50.
      More: https://is.muni.cz/publication/755812/en
    2. Classification of Multilingual Mathematical Papers in DML-CZ
      SOJKA, Petr and Radim ŘEHŮŘEK. Classification of Multilingual Mathematical Papers in DML-CZ. In Proceedings of First Workshop of Recent Advances in Slavonic Natural Language Processing RASLAN 2007. první. Brno: Masarykova univerzita. p. 89-96. ISBN 978-80-210-4471-5. 2007.
      web of workshop paper preprint
      Name in Czech: Klasifikace vícejazyčných matematických článků v DML-CZ
      Name (in English): Classification of Multilingual Mathematical Papers in DML-CZ
      RIV/00216224:14330/07:00019524 Proceedings paper. Informatics. English. Czech Republic.
      Sojka, Petr (203 Czech Republic, guarantor) -- Řehůřek, Radim (203 Czech Republic)
      Keywords in English: machine learning; classification;
      Type of proceedings: pre-proceedings
      International impact: yes
      Reviewed: yes
      Changed by: doc. RNDr. Petr Sojka, Ph.D., učo 2378. Changed: 14/1/2008 16:23.
      More: https://is.muni.cz/publication/746061/en
    3. E-learning a sémantika obrazových dat (E-learning and image data semantics)
      GREGAR, Tomáš, Radka POSPÍŠILOVÁ and Pavel ČÍŽEK. E-learning a sémantika obrazových dat (E-learning and image data semantics). In Sborník čtvrtého ročníku konference o e-learningu --- SCO 2007. Brno: Masarykova univerzita. p. 239-244, 260 pp. ISBN 978-80-210-4296-4. 2007.
      SCO 2007 - konference o elektronické podpoře výuky
      Name in Czech: E-learning a sémantika obrazových dat
      Name (in English): E-learning and image data semantics
      RIV/00216224:14330/07:00019395 Proceedings paper. Informatics. Czech. Czech Republic.
      Gregar, Tomáš (203 Czech Republic, guarantor) -- Pospíšilová, Radka (203 Czech Republic) -- Čížek, Pavel (203 Czech Republic)
      Keywords in English: e-learning; knowledge; ontology; computer vision; machine learning; visual similarity; knowledge repository
      Type of proceedings: pre-proceedings
      Reviewed: yes
      Changed by: RNDr. Tomáš Gregar, učo 4099. Changed: 22/8/2007 10:26.
      More: https://is.muni.cz/publication/719195/en
    4. Keyness and Relational Learning (Keyness ans Relational Learning)
      POPELÍNSKÝ, Lubomír and Jiří MATERNA. Keyness and Relational Learning (Keyness ans Relational Learning). In International conference Keyness in Text. Siena: University of Siena. p. 61-63. 2007.
      Name in Czech: Keyness a relační učení
      Name (in English): Keyness ans Relational Learning
      Informatics. English. Czech Republic.
      Keywords in English: keyness; machine learning; relational learning; inductive logic programming
      International impact: yes
      Reviewed: yes
      Changed by: RNDr. Jiří Materna, Ph.D., učo 98897. Changed: 25/11/2011 10:01.
      More: https://is.muni.cz/publication/746494/en
    5. The Influence of Preprocessing Parameters on Text Categorization
      POMIKÁLEK, Jan and Radim ŘEHŮŘEK. The Influence of Preprocessing Parameters on Text Categorization. International Journal of Applied Science, Engineering and Technology. 4/2007, No 1, p. 430-434. ISSN 1307-4318. 2007.
      URL
      Name in Czech: Vliv parametrů předzpracování na kategorizaci textu
      RIV/00216224:14330/07:00022183 Article in a journal. Informatics. English. Thailand.
      Pomikálek, Jan (203 Czech Republic, guarantor) -- Řehůřek, Radim (203 Czech Republic)
      Keywords in English: machine learning; text categorization; preprocessing; feature selection
      International impact: yes
      Reviewed: yes
      Changed by: RNDr. Radim Řehůřek, Ph.D., učo 39672. Changed: 29/3/2010 18:48.
      More: https://is.muni.cz/publication/719182/en
    6. The PAH Source Identification Using Positive Matrix Factorization and Clustering Methods
      HUDÍK, Tomáš. The PAH Source Identification Using Positive Matrix Factorization and Clustering Methods. In 6th International Symposium on Environmental Software Systems. Glueph: The International Federation for Information Processing WG 5.11. p. 63-71. ISBN 978-3-901882-22-7. 2007.
      Name in Czech: Identifikace PAH zdrojú použitím pozitivní maticové faktorizace a klastrovacích metod
      RIV/00216224:14330/07:00022439 Proceedings paper. Informatics. English. Canada.
      Hudík, Tomáš (703 Slovakia, guarantor)
      Keywords in English: machine learning;positive matrix factorization;clustering
      International impact: yes
      Reviewed: yes
      Changed by: Mgr. Tomáš Hudík, učo 55775. Changed: 7/8/2007 21:22.
      More: https://is.muni.cz/publication/721576/en
    7. Zvýšení využitelnosti obrazových dat ve výuce pomocí získaných sémantických informací (Improving of graphic data usability in learning via acquired semantic information)
      GREGAR, Tomáš and Radka POSPÍŠILOVÁ. Zvýšení využitelnosti obrazových dat ve výuce pomocí získaných sémantických informací (Improving of graphic data usability in learning via acquired semantic information). In Sborník 27. konference o geometrii a počítačové grafice. České Budějovice: ČSGG. p. 67-72. ISBN 978-80-85763-41-6. 2007.
      oficiální stránka konference GCG 2007
      Name (in English): Improving of graphic data usability in learning via acquired semantic information
      RIV/00216224:14330/07:00019555 Proceedings paper. Informatics. Czech. Czech Republic.
      Gregar, Tomáš (203 Czech Republic, guarantor) -- Pospíšilová, Radka (203 Czech Republic)
      Keywords in English: semantics; e-learning; machine learning; graphic descriptor; ontology
      Type of proceedings: post-proceedings
      Changed by: Mgr. Radka Pospíšilová, učo 4290. Changed: 12/1/2008 18:29.
      More: https://is.muni.cz/publication/748173/en

    2006

    1. The Machine-Learning Methods in the Environmental Risk Assessment Spatial Modelling
      HUDÍK, Tomáš. The Machine-Learning Methods in the Environmental Risk Assessment Spatial Modelling. In Proceedings of the 2nd international summer school on computational biology. Brno: Masaryk Univerzity. p. 52-57. ISBN 80-7355-070-9. 2006.
      Name in Czech: Metódy strojového učenia v oblasti priestorového modelovania pre vyhodnocovanie rizík ohrozenia životného prostredia
      RIV/00216224:14330/06:00018720 Proceedings paper. Informatics. English. Czech Republic.
      Hudík, Tomáš (703 Slovakia, guarantor)
      Keywords in English: machine learning; spatial modeling; environmental risk assessment
      Changed by: Mgr. Tomáš Hudík, učo 55775. Changed: 4/6/2007 22:52.
      More: https://is.muni.cz/publication/718900/en
    2. Tvorba a využití vizuálních ontologií v elektronické podpoře výuky (Visual ontology creation and its usage in e-learning)
      GREGAR, Tomáš and Radka POSPÍŠILOVÁ. Tvorba a využití vizuálních ontologií v elektronické podpoře výuky (Visual ontology creation and its usage in e-learning). In DATAKON 2006, Sborník databázové konference. Masarykova univerzita. Brno: Masarykova univerzita. p. 169-178, 9 pp. ISBN 80-210-4102-1. 2006.
      Sborník na internetu
      Name (in English): Visual ontology creation and its usage in e-learning
      RIV/00216224:14330/06:00015468 Proceedings paper. Informatics. Czech. Czech Republic.
      Gregar, Tomáš (203 Czech Republic, guarantor) -- Pospíšilová, Radka (203 Czech Republic)
      Keywords in English: e-learning; knowledge; ontology; computer vision; machine learning; visual similarity
      Type of proceedings: pre-proceedings
      Reviewed: yes
      Changed by: RNDr. Tomáš Gregar, učo 4099. Changed: 13/6/2007 11:45.
      More: https://is.muni.cz/publication/703421/en
    3. Using Machine Learning Methods in Environmental Risk Assessment -- Overview
      HUDÍK, Tomáš. Using Machine Learning Methods in Environmental Risk Assessment -- Overview. In EMEC7 The Book of Abstracts. Brno: Brno University of Technology, Faculty of Chemistry. p. 78. ISBN 80-214-3320-5. 2006.
      Name in Czech: Použití metod strojového učení při vyhodnocování ekologických rizik
      RIV/00216224:14330/06:00017823 Proceedings paper. Informatics. English. Czech Republic.
      Hudík, Tomáš (703 Slovakia, guarantor)
      Keywords in English: machine learning; environmental risk assessment
      Reviewed: yes
      Changed by: Mgr. Tomáš Hudík, učo 55775. Changed: 12/12/2006 10:00.
      More: https://is.muni.cz/publication/705015/en

    2005

    1. Competing Patterns in Language Engineering and Computer Typesetting
      SOJKA, Petr. Competing Patterns in Language Engineering and Computer Typesetting. první. Brno: Masarykova univerzita. 140 pp. PhD. dissertation. 2005.
      fulltext (PDF)
      Name in Czech: Soutěživé vzory v jazykovém inženýrství a počítačové sazbě
      RIV/00216224:14330/05:00024493 Special-purpose publication. Informatics. English. Czech Republic.
      Sojka, Petr (203 Czech Republic, guarantor, belonging to the institution)
      Keywords in English: competing patterns;context-sensitive patterns;machine learning;natural language engineering;hyphenation; [Thai text] segmentation;disambiguation;formal concept analysis;part of speech tagging;
      International impact: yes
      Reviewed: yes
      Changed by: doc. RNDr. Petr Sojka, Ph.D., učo 2378. Changed: 26/1/2012 18:57.
      More: https://is.muni.cz/publication/837861/en
    2. First-order Frequent Patterns in Text Mining
      BLAŤÁK, Jan. First-order Frequent Patterns in Text Mining. In EPIA'05, 12th Portuguese Conference on Artificial Intelligence. 1st ed. Covilha, Portugal: Institute of Electrical and Electronics Engineers, Inc. p. 344-350. ISBN 0-7803-9365-1. 2005.
      Name in Czech: Prvořádové časté vzory v dolování v textu
      Name (in English): First-order Frequent Patterns in Text Mining
      RIV/00216224:14330/05:00014356 Proceedings paper. Informatics. English. Portugal.
      Blaťák, Jan (203 Czech Republic, guarantor)
      Keywords in English: machine learning; first-order frequent patterns; text mining; distributed mining
      Changed by: RNDr. Jan Blaťák, Ph.D., učo 2978. Changed: 27/4/2006 12:03.
      More: https://is.muni.cz/publication/598608/en
    3. Learning genic interactions without expert domain knowledge: Comparison of different ILP algorithms.
      POPELÍNSKÝ, Lubomír and Jan BLAŤÁK. Learning genic interactions without expert domain knowledge: Comparison of different ILP algorithms. In Proceedings of ICML05 workshop on Learning Language in Logic (LLL05). Bonn: Fraunhofer Institute. p. 21-30. 2005.
      Name in Czech: Učení genových interakcí bez expertní znalosti: Porovnání různých ILP algoritmů
      Name (in English): Learning genic interactions without expert domain knowledge: Comparison of different ILP algorithms.
      RIV/00216224:14330/05:00014242 Proceedings paper. Informatics. English. Germany.
      Popelínský, Lubomír (203 Czech Republic, guarantor) -- Blaťák, Jan (203 Czech Republic)
      Keywords in English: machine learning; genic interactions; ILP
      Changed by: doc. RNDr. Lubomír Popelínský, Ph.D., učo 1945. Changed: 27/4/2006 11:55.
      More: https://is.muni.cz/publication/593299/en
    4. Projekt EMIL (Effective Microarray IntelLigence): přínos metod umělé inteligence pro analýzu microarrays (Project EMIL (Effective Microarray IntelLigence): benefits of artificial intelligence methods for microarray analysis)
      LIDMAN, Petr, Zdenko STANÍČEK, Filip PROCHÁZKA, Eva BUDINSKÁ, Jiří JARKOVSKÝ and Ladislav DUŠEK. Projekt EMIL (Effective Microarray IntelLigence): přínos metod umělé inteligence pro analýzu microarrays (Project EMIL (Effective Microarray IntelLigence): benefits of artificial intelligence methods for microarray analysis). In Sborník abstraktů konference se zahraniční účastí. Analytická cytometrie III. Brno: Česká společnost pro analytickou cytologii. p. 107-108. ISBN 80-239-5155-6. 2005.
      Name (in English): Project EMIL (Effective Microarray IntelLigence): benefits of artificial intelligence methods for microarray analysis
      RIV/00216224:14330/05:00013455 Proceedings paper. Informatics. Czech. Czech Republic.
      Lidman, Petr (203 Czech Republic) -- Staníček, Zdenko (203 Czech Republic) -- Procházka, Filip (203 Czech Republic) -- Budinská, Eva (703 Slovakia) -- Jarkovský, Jiří (203 Czech Republic) -- Dušek, Ladislav (203 Czech Republic, guarantor)
      Keywords in English: microarray; microarrays; artificial intelligence; uiron; oncology; machine learning; intelligent assistant
      Changed by: Mgr. Petr Lidman, učo 3619. Changed: 6/2/2006 18:00.
      More: https://is.muni.cz/publication/622364/en
    5. Projekt UIRON ("Universal information robot in oncology"): přínos metod umělé inteligence v biomedicíně a klinické praxi (Project UIRON ("Universal information robot in oncology"): benefits of artificial intelligence methods in biomedicine & clinical practice)
      LIDMAN, Petr, Zdenko STANÍČEK, Filip PROCHÁZKA, Jan MUŽÍK, Ladislav DUŠEK, Rostislav VYZULA and Pavel ANDRES. Projekt UIRON ("Universal information robot in oncology"): přínos metod umělé inteligence v biomedicíně a klinické praxi (Project UIRON ("Universal information robot in oncology"): benefits of artificial intelligence methods in biomedicine & clinical practice). In Vybrané otázky onkologie IX. Praha: Galén. p. 143-144. ISBN 80-7262-382-6. 2005.
      Name (in English): Project UIRON ("Universal information robot in oncology"): benefits of artificial intelligence methods in biomedicine & clinical practice
      RIV/00216224:14330/05:00013457 Proceedings paper. Informatics. Czech. Czech Republic.
      Lidman, Petr (203 Czech Republic) -- Staníček, Zdenko (203 Czech Republic) -- Procházka, Filip (203 Czech Republic) -- Mužík, Jan (203 Czech Republic) -- Dušek, Ladislav (203 Czech Republic, guarantor) -- Vyzula, Rostislav (203 Czech Republic) -- Andres, Pavel (203 Czech Republic)
      Keywords in English: biomedicine; epidemiology; national cancer register; microarray; microarrays; artificial intelligence; uiron; oncology; machine learning; intelligent assistant; business rules engine
      Changed by: Mgr. Petr Lidman, učo 3619. Changed: 6/2/2006 18:39.
      More: https://is.muni.cz/publication/622452/en
    6. Protein Secondary Structure Prediction by Machine Learning Methods
      HROZA, Jiří. Protein Secondary Structure Prediction by Machine Learning Methods. In 1st International Summer School on Computational Biology. Brno, Czech Republic: Masaryk University. p. 38-43, 5 pp. ISBN 80-210-3907-8. 2005.
      Name in Czech: Rozpoznavani sekundarni struktury proteinu metodami strojoveho uceni
      Name (in English): Protein Secondary Structure Prediction by Machine Learning Methods
      RIV/00216224:14330/05:00014719 Proceedings paper. Informatics. English. Czech Republic.
      Hroza, Jiří (203 Czech Republic, guarantor)
      Keywords in English: machine learning; protein; protein secondary structure prediction
      Changed by: RNDr. Jiří Hroza, učo 3800. Changed: 28/4/2006 13:37.
      More: https://is.muni.cz/publication/619864/en
    7. Rule-based systems: employing intelligent computer assistant in biomedicine & clinical practice
      LIDMAN, Petr, Zdenko STANÍČEK, Filip PROCHÁZKA, Ladislav DUŠEK, Jiří JARKOVSKÝ and Eva BUDINSKÁ. Rule-based systems: employing intelligent computer assistant in biomedicine & clinical practice. In Proceedings of 1st International Summer School on Computational Biology. Brno: Masarykova univerzita. p. 100-104. ISBN 80-210-3907-8. 2005.
      Name in Czech: Pravidlové systémy: využití inteligentního počítačového asistenta v biomedicíně a klinické praxi
      RIV/00216224:14330/05:00013456 Proceedings paper. Informatics. English. Czech Republic.
      Lidman, Petr (203 Czech Republic) -- Staníček, Zdenko (203 Czech Republic) -- Procházka, Filip (203 Czech Republic) -- Dušek, Ladislav (203 Czech Republic, guarantor) -- Jarkovský, Jiří (203 Czech Republic) -- Budinská, Eva (703 Slovakia)
      Keywords in English: biomedicine; epidemiology; national cancer register; microarray; microarrays; artificial intelligence; uiron; oncology; machine learning; intelligent assistant; business rules engine
      Changed by: Mgr. Petr Lidman, učo 3619. Changed: 6/2/2006 18:42.
      More: https://is.muni.cz/publication/622447/en
    8. Segmentation of texts and biological sequences into lexical and structural units using a machine-learning approach
      HUDÍK, Tomáš and Matej LEXA. Segmentation of texts and biological sequences into lexical and structural units using a machine-learning approach. In Proceedings of the 1st International Summer School on Computational Biology. Brno: L. Dušek, L., J. Hřebíček, L. Jarkovský. p. 50-56, 8 pp. ISBN 80-210-3907-8. 2005.
      URL
      Name in Czech: Segmentácia textov a biologických sekvencií do lexikálnych a štrukturálnych jednotiek použitím metód strojového učenia
      RIV/00216224:14330/05:00014589 Proceedings paper. Informatics. English. Czech Republic.
      Hudík, Tomáš (703 Slovakia, guarantor) -- Lexa, Matej (703 Slovakia)
      Keywords in English: machine learning ; segmentation; I-sites
      Changed by: Mgr. Tomáš Hudík, učo 55775. Changed: 31/1/2006 12:00.
      More: https://is.muni.cz/publication/617924/en
    9. Selecting Interesting Articles Using Their Similarity Based Only on Positive Examples
      HROZA, Jiří and Jan ŽIŽKA. Selecting Interesting Articles Using Their Similarity Based Only on Positive Examples. In Computational linguistics and Intelligent Text Processing. Germany: Springer-Verlag Berlin Heidelberg. p. 608-611. ISBN 3-540-24523-5. 2005.
      Name in Czech: Výběr zajímavých článků pomocí jejich podobnosti k relevantním příkladům
      RIV/00216224:14330/05:00013632 Proceedings paper. Informatics. English. Germany.
      Hroza, Jiří (203 Czech Republic, guarantor) -- Žižka, Jan (203 Czech Republic)
      Keywords in English: machine learning; text categorization; text filtration; text similarity; k-NN; ranking
      Changed by: RNDr. Jiří Hroza, učo 3800. Changed: 1/3/2005 13:35.
      More: https://is.muni.cz/publication/568397/en

    2004

    1. Filtering Very Similar Text Documents: A Case Study
      HROZA, Jiří, Jan ŽIŽKA and Aleš BOUREK. Filtering Very Similar Text Documents: A Case Study. In Computational linguistics and Intelligent Text Processing. Germany: Springer-Verlag Berlin Heidelberg. p. 511-520. ISBN 3-540-21006-7. 2004.
      Name in Czech: Filtrace velmi podobných textových dokumentů: Studie případu.
      Name (in English): Filtering Very Similar Text Documents: A Case Study
      RIV/00216224:14330/04:00009948 Proceedings paper. Informatics. English. Germany.
      Hroza, Jiří (203 Czech Republic, guarantor) -- Žižka, Jan (203 Czech Republic) -- Bourek, Aleš (203 Czech Republic)
      Keywords in English: machine learning; text categorization; text filtration; text similarity
      Changed by: doc. Ing. Jan Žižka, CSc., učo 2431. Changed: 21/1/2005 18:31.
      More: https://is.muni.cz/publication/493330/en
    2. Víceslovné výrazy a klasifikace českých textů (Multiword expressions and Czech document classification)
      MRÁKOVÁ, Eva, Lubomír POPELÍNSKÝ and Jan BLAŤÁK. Víceslovné výrazy a klasifikace českých textů (Multiword expressions and Czech document classification). In Znalosti 2004, sborník posterů. 1st ed. Ostrava: VŠB--Technická univerzita Ostrava. p. 53-56. 2004.
      Name (in English): Multiword expressions and Czech document classification
      RIV/00216224:14330/04:00010075 Proceedings paper. Informatics. Czech. Czech Republic.
      Mráková, Eva (203 Czech Republic, guarantor) -- Popelínský, Lubomír (203 Czech Republic) -- Blaťák, Jan (203 Czech Republic)
      Keywords in English: text classification; machine learning; multword expressions
      Changed by: RNDr. Jan Blaťák, Ph.D., učo 2978. Changed: 24/5/2004 22:52.
      More: https://is.muni.cz/publication/555158/en

    2003

    1. Disambiguation of case siffixes in Basque
      POPELÍNSKÝ, Lubomír. Disambiguation of case siffixes in Basque. In Proceedings of TALN Workshop "Traitement automatique des langues minoritaires et des petites langues. Batz-sur-Mer: ATALA. p. 213-222. 2003.
      Name (in English): Disambiguation of case siffixes in Basque
      RIV/00216224:14330/03:00009164 Proceedings paper. Informatics. English. France.
      Popelínský, Lubomír (203 Czech Republic, guarantor)
      Keywords in English: machine learning; natural language processing; Basque; disambiguation
      Changed by: doc. RNDr. Lubomír Popelínský, Ph.D., učo 1945. Changed: 21/11/2003 10:16.
      More: https://is.muni.cz/publication/490398/en
    2. Induktivní logické programování (Induktive logic programming)
      POPELÍNSKÝ, Lubomír. Induktivní logické programování (Induktive logic programming). In Sborník konference DATAKON 2003. Brno: Masarykova univerzita. p. 111-130. ISBN 80-210-3215-4. 2003.
      Name (in English): Induktive logic programming
      Computer hardware and software. Czech. Czech Republic.
      Keywords in English: machine learning; inductive logic programming; applications
      Changed by: doc. RNDr. Lubomír Popelínský, Ph.D., učo 1945. Changed: 21/11/2003 10:31.
      More: https://is.muni.cz/publication/490401/en
    3. Searching for Significant Word Associations in Text Documents Using Genetic Algorithms
      ŽIŽKA, Jan, Michal ŠRÉDL and Aleš BOUREK. Searching for Significant Word Associations in Text Documents Using Genetic Algorithms. In Computional Linguistics and Intelligent Text Processing. Berlin Heidelberg New York: Springer Verlag. p. 584-587. ISBN 3-540-00532-3. 2003.
      Name (in English): Searching for Significant Word Associations in Text Documents Using Genetic Algorithms
      RIV/00216224:14330/03:00009148 Proceedings paper. Informatics. English. Mexico.
      Žižka, Jan (203 Czech Republic, guarantor) -- Šrédl, Michal (203 Czech Republic) -- Bourek, Aleš (203 Czech Republic)
      Keywords in English: machine learning; text document processing; genetic algorithms; naive Bayes method
      Changed by: doc. Ing. Jan Žižka, CSc., učo 2431. Changed: 8/9/2004 16:37.
      More: https://is.muni.cz/publication/490363/en
    4. Strojové učení a přirozený jazyk (abtrakt tutoriálu) (Machine learning and natural language processing)
      POPELÍNSKÝ, Lubomír. Strojové učení a přirozený jazyk (abtrakt tutoriálu) (Machine learning and natural language processing). In Sborník konference ZNALOSTI 2003. Ostrava: FEI VŠB-TU Ostrava. p. 18-19. ISBN 80-248-0229-5. 2003.
      Name (in English): Machine learning and natural language processing
      RIV/00216224:14330/03:00009163 Proceedings paper. Informatics. Czech. Czech Republic.
      Popelínský, Lubomír (203 Czech Republic, guarantor)
      Keywords in English: machine learning; natural language processing
      Changed by: doc. RNDr. Lubomír Popelínský, Ph.D., učo 1945. Changed: 21/11/2003 10:02.
      More: https://is.muni.cz/publication/490397/en

    2002

    1. Fast choice of separation conditions for analyses by capillary zone electrophoresis usingan information system Xemic
      KŘIVÁNKOVÁ, Ludmila, Michal OČKO, Lubomír POPELÍNSKÝ and Petr BOČEK. Fast choice of separation conditions for analyses by capillary zone electrophoresis usingan information system Xemic. Electrophoresis. Wiley-VCH Verlag GmbH, vol. 23, No 19, p. 3364-3371. ISSN 0173-0835. 2002.
      Name (in English): Fast choice of separation conditions for analyses by capillary zone electrophoresis usingan information system Xemic
      RIV/00216224:14330/02:00006713 Article in a journal. Computer hardware and software. English. Czech Republic.
      Křivánková, Ludmila (203 Czech Republic) -- Očko, Michal (203 Czech Republic) -- Popelínský, Lubomír (203 Czech Republic, guarantor) -- Boček, Petr (203 Czech Republic)
      Keywords in English: capillary zone electrophoresis; information system; machine learning; separation conditions
      Changed by: doc. RNDr. Lubomír Popelínský, Ph.D., učo 1945. Changed: 19/5/2003 11:27.
      More: https://is.muni.cz/publication/406597/en

    2001

    1. Využitelnost algoritmů strojového učení pro klasifikaci multispektrálního družicového snímku (Usefulness of machine learning algorithms for multispectral image classification)
      DOBROVOLNÝ, Petr, Lubomír POPELÍNSKÝ and Petr KUBA. Využitelnost algoritmů strojového učení pro klasifikaci multispektrálního družicového snímku (Usefulness of machine learning algorithms for multispectral image classification). In GIS Ostrava 2001. Sborník konference. Ostrava: VŠB - TUO. ISSN 1213-2454. 2001.
      Name (in English): Usefulness of machine learning algorithms for multispectral image classification
      Earth magnetism, geodesy, geography. Czech. Czech Republic.
      Keywords in English: machine learning; multispectral imagery; classification; decision tree
      Changed by: prof. RNDr. Petr Dobrovolný, CSc., učo 680. Changed: 21/1/2002 09:06.
      More: https://is.muni.cz/publication/390152/en
    2. Využití metod strojového učení pro klasifikaci družicových snímků (Using machine learning methods for classification of satellite images)
      POPELÍNSKÝ, Lubomír, Petr DOBROVOLNÝ and Petr KUBA. Využití metod strojového učení pro klasifikaci družicových snímků (Using machine learning methods for classification of satellite images). In Sborník konference Znalosti 2001. Praha: Vysoká škola ekonomická, Praha. p. 1-6. 2001.
      Name (in English): Using machine learning methods for classification of satellite images
      RIV/00216224:14330/01:00005487 Proceedings paper. Information theory. Czech. Czech Republic.
      Keywords in English: classification; geomining; spatial data; satellite images; machine learning
      Changed by: RNDr. Petr Kuba, Ph.D., učo 3933. Changed: 7/2/2002 14:30.
      More: https://is.muni.cz/publication/393993/en

    2000

    1. Learning Middlegame Patterns in Chess: A Case Study.
      KUBAT, Miroslav and Jan ŽIŽKA. Learning Middlegame Patterns in Chess: A Case Study. In Proceedings of the 13th International Conference on Industrial & Engineering Applications of AI & Expert Systems. New Orleans, LA, U.S.A.: Springer Verlag. p. 426-433. LNCS. 2000.
      Name (in English): Learning Middlegame Patterns in Chess: A Case Study.
      Use of computers, robotics and its application. English. United States of America.
      Keywords in English: machine learning; pattern recognition; computer chess
      Changed by: doc. Ing. Jan Žižka, CSc., učo 2431. Changed: 23/2/2001 17:18.
      More: https://is.muni.cz/publication/351333/en
    2. Monitorování asistované reprodukce a reprodukční medicíny pomocí Internetu (Use of the Internet for monitoring trends in assisted reproduction and reproductive medicine)
      BOUREK, Aleš and Jan ŽIŽKA. Monitorování asistované reprodukce a reprodukční medicíny pomocí Internetu (Use of the Internet for monitoring trends in assisted reproduction and reproductive medicine). 2000th ed. Třebechovice: Medexart. 4 pp. Gynekolog. ISBN 1210-1133. 2000.
      Name (in English): Use of the Internet for monitoring trends in assisted reproduction and reproductive medicine
      Gynaecology and obstetrics. Czech. Czech Republic.
      Keywords in English: machine learning; Internet; reproductive medicine; assisted reproduction; trend tracking
      Changed by: doc. Ing. Jan Žižka, CSc., učo 2431. Changed: 16/9/2004 14:38.
      More: https://is.muni.cz/publication/403538/en
    3. Monitorování asistované reprodukce a reprodukční medicíny pomocí Internetu. (The use of the Internet for monitoring trends in assisted reproduction and reproductive medicine.)
      BOUREK, Aleš, Jan ŽIŽKA, Pavel VENTRUBA and Luděk FREY. Monitorování asistované reprodukce a reprodukční medicíny pomocí Internetu. (The use of the Internet for monitoring trends in assisted reproduction and reproductive medicine.). Gynekolog. Třebechovice: Medexart, vol. 2, No 6, p. 220-223. ISSN 1210-1133. 2000.
      Name (in English): The use of the Internet for monitoring trends in assisted reproduction and reproductive medicine.
      RIV/00216224:14110/00:00003084 Article in a journal. Use of computers, robotics and its application. Czech. Czech Republic.
      Keywords in English: internet; assisted reproduction; reproductive endocrinology; machine learning; data mining; knowledge discovery
      Changed by: MUDr. Aleš Bourek, Ph.D., učo 1062. Changed: 1/3/2001 15:35.
      More: https://is.muni.cz/publication/352012/en
    4. On Disambiguation in Czech Corpora
      POPELÍNSKÝ, Lubomír, Tomáš PAVELEK and Tomáš PTÁČNÍK. On Disambiguation in Czech Corpora. Brno (CZE): FI MU. 012 pp. 2000.
      RIV/00216224:14330/00:00002818 Research report. Computer hardware and software. English. Czech Republic.
      Keywords in English: Lemma disambiguation; Corpus; Natural language processing; Machine learning
      Changed by: doc. RNDr. Lubomír Popelínský, Ph.D., učo 1945. Changed: 25/2/2001 17:39.
      More: https://is.muni.cz/publication/346746/en
    5. TEA: A Text Analysis Tool for the Intelligent Text Document Filtering
      ŽIŽKA, Jan, Aleš BOUREK and Luděk FREY. TEA: A Text Analysis Tool for the Intelligent Text Document Filtering. In Text, Speech and Dialogue. Berlin, Heidelberg, New York: Springer Verlag. p. 151-156. LNCS 1902. ISBN 3-540-41042-2. 2000.
      Name (in English): TEA: A Text Analysis Tool for the Intelligent Text Document Filtering
      RIV/00216224:14330/00:00002933 Proceedings paper. Use of computers, robotics and its application. English. Czech Republic.
      Keywords in English: machine learning; text document classification; naive Bayes classificator; medical text documents
      Changed by: doc. Ing. Jan Žižka, CSc., učo 2431. Changed: 22/2/2001 18:46.
      More: https://is.muni.cz/publication/351351/en

    1998

    1. Learning and Classifying Medical Text Documents Using the Naive Baye's Algorithm.
      ŽIŽKA, Jan and Aleš BOUREK. Learning and Classifying Medical Text Documents Using the Naive Baye's Algorithm. Brno: FI MUNI / Konvoj, Brno. 4 pp. International Workshop on Text, Speech and Dialog. ISBN 80-210-1899-2. 1998.
      URL
      Name (in English): Learning and Classifying Medical Text Documents Using the Naive Baye's Algorithm.
      RIV: Book on a specialized topic. Use of computers, robotics and its application. English.
      Keywords in English: automated text analysis; machine learning; medical informatics
      Changed by: doc. Ing. Jan Žižka, CSc., učo 2431. Changed: 22/2/2001 18:05.
      More: https://is.muni.cz/publication/255411/en
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