Výpis publikací

BUOSI, Samuele; Mohan TIMILSINA; Maria TORRENTE; Mariano PROVENCIO; Dirk FEY a Vít NOVÁČEK. Boosting predictive models and augmenting patient data with relevant genomic and pathway information. Computers in Biology and Medicine. Pergamon-Elsevier Science Press, 2024, roč. 174, č. 108398, s. 1-9. ISSN 0010-4825. Dostupné z: https://doi.org/10.1016/j.compbiomed.2024.108398.

BUOSI, Samuele; Mohan TIMILSINA; Adriann JANIK; Luca COSTABELLO; Maria TORRENTE; Mariano PROVENCIO; Dirk FEY a Vít NOVÁČEK. Machine learning estimated probability of relapse in early-stage non-small-cell lung cancer patients with aneuploidy imputation scores and knowledge graph embeddings. Expert Systems with Applications. Elsevier, 2024, roč. 235, č. 121127, s. 1-8. ISSN 0957-4174. Dostupné z: https://doi.org/10.1016/j.eswa.2023.121127.

NOVACEK, Vít. Curing Cancer with Knowledge Graphs (and other Outrageous Ideas). In Knowledge Graphs and Semantic Computing Series at University of Illinois Urbana-Champaign. 2023.

ZELINA, Petr; Jana HALÁMKOVÁ a 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, 2023, roč. 22, č. 4, s. 781-788. ISSN 1536-1241. Dostupné z: https://doi.org/10.1109/TNB.2023.3275195.

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 a 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, 2023, roč. 7, e2200062, s. 1-11. ISSN 2473-4276. Dostupné z: https://doi.org/10.1200/CCI.22.00062.

NOVACEK, Vít; Marko ŘEHÁČEK; Petr ZELINA a Jana HALÁMKOVÁ. AI for Cancer Patient Empowerment - Interim Results of the AIcope Project. 2022.

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 a Virginia CALVO. An Artificial Intelligence-Based Tool for Data Analysis and Prognosis in Cancer Patients: Results from the Clarify Study. CANCERS. SWITZERLAND: MDPI, 2022, roč. 14, č. 16, s. 1-10. ISSN 2072-6694. Dostupné z: https://doi.org/10.3390/cancers14164041.

TIMILSINA, Mohan; Vít NOVÁČEK; Mathieu DAQUIN a Haixuan YANG. Boundary heat diffusion classifier for a semi-supervised learning in a multilayer network embedding. NEURAL NETWORKS. ENGLAND: PERGAMON-ELSEVIER SCIENCE LTD, 2022, roč. 156, č. 1, s. 205-217. ISSN 0893-6080. Dostupné z: https://doi.org/10.1016/j.neunet.2022.10.005.

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 a Vít NOVÁČEK. Integration of Medical and Genomic Information to Enhance Relapse Prediction in Early Stage Lung Cancer Patients. Online. In Proceedings of the Annual Symposium of the American Medical Informatics Association. Washington, USA: AMIA, 2022, s. 1082-1091. ISSN 1559-4076.

FIALA, Martin. Umělá inteligence v Hollywoodu aneb Herecká kariéra i po smrti. Kontexty : Centrum pro studium demokracie a kultury. Brno: Centrum pro studium demokracie a kultury, 2022, roč. 14, č. 1, s. 52-60. ISSN 1803-6988.

ZELINA, Petr; Jana HALÁMKOVÁ a Vít NOVÁČEK. Unsupervised extraction, labelling and clustering of segments from clinical notes. Online. In Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM). USA: IEEE, 2022, s. 1362-1368. ISBN 978-1-6654-6820-6. Dostupné z: https://doi.org/10.1109/BIBM55620.2022.9995229.

MOHAMED, Sameh K; Ayah NOUNU a Vít NOVÁČEK. Biological applications of knowledge graph embedding models. Briefings in Bioinformatics. Oxford (UK): Oxford University Press, 2021, roč. 22, č. 2, s. 1679-1693. ISSN 1467-5463. Dostupné z: https://doi.org/10.1093/bib/bbaa012.

AU, Cam-Duc a Andreas HIESE. Künstliche Intelligenz in Banken: Worauf es im aktuellen Marktumfeld ankommt. Nr. 3. Munich: Das Wirtschaftsmagazin zur Digitalisierung - Digitale Welt - Science Meets Industry, 2021, 4 s.

MOHAMED, Sameh K.; Brian WALSH; Mohan TIMILSINA; Maria TORRENTE; Fabio FRANCO; Mariano PROVENCIO; Adrianna JANIK; Luca COSTABELLO; Pasquale MINERVINI; Pontus STENETORP a Vít NOVÁČEK. On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer. Online. In Adam B. Wilcox, Randi Foraker, Kensaku Kawamoto, Yves A. Lussier, Nadine McCleary. Proceedings of AMIA 2021 Annual Symposium. San Diego: AMIA, 2021, s. 853-862. ISSN 1942-597X.

MOHAMED, Sameh K; Vít NOVACEK a Emir MUNOZ. On Training Knowledge Graph Embedding Models. Information. Switzerland: MDPI, 2021, roč. 12, č. 4, s. 147-165. ISSN 2078-2489. Dostupné z: https://doi.org/10.3390/info12040147.

MAROTTA, Gianfranco a Cam-Duc AU. Opportunities of AI in Budgeting Approaches. Munich: DIGITALE WELT I Das Wirtschaftsmagazin zur Digitalisierung, 2021.

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 a 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, 2021, roč. 16, č. 10, s. 991-992. ISSN 1556-1380. Dostupné z: https://doi.org/10.1016/j.jtho.2021.08.294.

KRAHNHOF, Philippe a Cam-Duc AU. Die Bedeutung von Daten und Künstlicher Intelligenz für Banken. Bank intern - Der Insider-Report für den leitenden Banker: Aktuell, Kompakt, Kritisch, Unabhängig. Düsseldorf: kapital-markt Verlag GmbH, 2020, s. 1-2. ISSN 1615-522X.

KRAUSOVÁ, Alžběta. Status elektronické osoby v evropském právu v kontextu českého práva. Právní rozhledy. Nakladatelství C.H. Beck, 2017, roč. 25, č. 20, s. 700-704. ISSN 1210-6410.

KRAUSOVÁ, Alžběta a Hananel HAZAN. Autonomous Decisions of Hybrid IT Systems with Biological Brain. In The Man and the Machine: When Systems Take Decisions Autonomously. 2015.

KRAUSOVÁ, Alžběta a Hananel HAZAN. Creating Free Will in Artificial Intelligence. In Beyond AI: Artificial Golem Intelligence. 2013.

PEÑA MÉNDEZ, Eladia Maria; Marcos BÁEZ; Josef HAVEL a Jaromír VAŇHARA. Aplicaciones de Redes Neuronales (ANN) en Ciencia. 4th Edition, Erasmus Program. Spain: Universidad de La Laguna, Tenerife, Spain, 2012, 62 s. TF-850/2012.

VAŇHARA, Jaromír; Milada BOCÁKOVÁ; Peter FEDOR; Kristýna JANIŠOVÁ; Eladia Maria PEŇA MÉNDEZ; Natália MURÁRIKOVÁ a Josef HAVEL. Artificial Neural Networks Identification: mayor step towards integrative taxonomy. In Integrative biology: From ecology to molecules. 2012.

MURÁRIKOVÁ, Natália; Jaromír VAŇHARA; Andrea TÓTHOVÁ a Josef HAVEL. Polyphasic approach applying artificial neural networks, molecular analysis and postabdomen morphology to West Palaearctic Tachina spp. (Diptera, Tachinidae). Bulletin of Entomological Research, doi:10.1017/S0007485310000295. Cambridge, England: CAMBRIDGE UNIV PRESS, 2011, roč. 101, č. 1, s. 165-175. ISSN 0007-4853.

HAVEL, Josef; Jaromír VAŇHARA; Eladia PEÑA-MÉNDEZ a Marcos BÁEZ. Aplicaciones de Redes Neuronales en Ciencia. 2. vyd. La Laguna, Tenerife: University of La Lagauna, 2010, 68 s.

FEDOR, Peter; Jaromír VAŇHARA; Josef HAVEL a O. MAJZLAN. Artificial intelligence, a challenge for semiautomatic thrips identification. Journal of Insect Science. Univ Arizona, USA: Sea World Resort, Queensland, Australia, 2010, roč. 10, č. 166, s. 13-14. ISSN 1536-2442.

VAŇHARA, Jaromír; Josef HAVEL a Peter FEDOR. Artificial Neural Networks (ANN) in entomology. The Tachinid Times. Ottawa: Agriculture & Agri-Food Canada, 2010, roč. 23 (2010), č. 1, s. 9-13. ISSN 1802-128X.

VAŇHARA, Jaromír; Josef HAVEL a Peter FEDOR. Artificial Neural Networks (ANN) in entomology. 2. vyd. Tenerife, Spain : Universidad de La Laguna: Tenerife, Spain : Universidad de La Laguna, 2010.

KRAUSOVÁ, Alžběta. Hranice kyberprostoru a podstaty člověka. In Přednáška v rámci předmětu Normativní systémy v kyberprostoru, PrF MU. 2010.

HORÁKOVÁ, Jana a Demers LOUIS-PHILIPPE. Anthropocentrism and the Staging of Robots. In ADAMS, Randy; Steve GIBSON a Stefan MÜLLER ARISONA. Transdisciplinary Digital Art. Sound, Vision and the new Screen, Vol.7. Zürich Switzerland, Victoria, BC, Canada: Springer Berlin Heideberg, 2008, s. 434-450. Communication in Computer and Information Science. ISBN 978-3-540-79485-1.

VAŇHARA, Jaromír; Peter FEDOR; Igor MALENOVSKÝ; Natália MURÁRIKOVÁ a Josef HAVEL. Insect identification using Artificial Neural Networks (ANN). In Proceedings CD incl. Abstracts and Author´s List ICE 2008. 2008.

KRAUSOVÁ, Alžběta. Legal Regulation of Artificial Beings. Masaryk University Journal of Law and Technology. Brno: Masarykova Univerzita, 2007, roč. 1, č. 1, s. 187-198. ISSN 1802-5943.

VEČEŘA, Martin; Lubomír POPELÍNSKÝ a Jan BLAŤÁK. Mining First-Order Frequent Patterns in e-Commerce Data. In New Trends in Artificial Intelligence. Proceedings of EPIA 2008. Portugalsko: APPIA, IEEE, AAAI, ECCAI, ACM, 2007, s. 475-486. ISBN 978-989-95618-0-9.

OŠLEJŠEK, Radek. Ontologies for Painting via Dialogue. In Proceedings of the 2007 International Conference on Internet Computing ICOMP 2007. Las Vegas, USA: CSREA Press, 2007, s. 385-391. ISBN 1-60132-044-2.

NOVÁČEK, Vít. Motivations of Extensive Incorporation of Uncertainty in OLE Ontologies. In SOFSEM 2006: Theory and Practice of Computer Science: 32nd Conference on Current Trends in Theory and Practice of Computer Science. Student Research Forum Proceedings. Prague: Institute of Computer Science, Academy of Sciences of the Czech Republic, 2006, s. 145-154. ISBN 80-903298-4-5.

NOVÁČEK, Vít. Ontology Learning. Brno: Faculty of Informatics, Masaryk University, 2006, 65 s. Diploma Thesis.

LIDMAN, Petr; Zdenko STANÍČEK; Filip PROCHÁZKA; Eva BUDINSKÁ; Jiří JARKOVSKÝ a Ladislav DUŠEK. Projekt EMIL (Effective Microarray IntelLigence): přínos metod umělé inteligence pro analýzu microarrays. In Sborník abstraktů konference se zahraniční účastí. Analytická cytometrie III. Brno: Česká společnost pro analytickou cytologii, 2005, s. 107-108. ISBN 80-239-5155-6.

LIDMAN, Petr; Zdenko STANÍČEK; Filip PROCHÁZKA; Jan MUŽÍK; Ladislav DUŠEK; Rostislav VYZULA a Pavel ANDRES. Projekt UIRON ("Universal information robot in oncology"): přínos metod umělé inteligence v biomedicíně a klinické praxi. In Vybrané otázky onkologie IX. Praha: Galén, 2005, s. 143-144. ISBN 80-7262-382-6.

LIDMAN, Petr; Zdenko STANÍČEK; Filip PROCHÁZKA; Ladislav DUŠEK; Jiří JARKOVSKÝ a 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, 2005, s. 100-104. ISBN 80-210-3907-8.

RUDOVÁ, Hana. The 18th International FLAIRS Conference. 2005.

RUDOVÁ, Hana. The 17th International FLAIRS Conference. 2004.

RACLAVSKÝ, Jiří. Mysl a počítače. Universitas. Brno: MU, 2002, roč. 35, č. 1, s. 7-11. ISSN 1212-8139.

PALA, Karel. Semantic Annotation of (Czech) Corpus Texts. In Proceedings of the Second Workshop on Text, Speech and Dialogue. 1. vyd. Berlin: Springer Verlag, 1999, s. 56-61. Lecture Notes in Artificial Intelligence 1692. ISBN 3-540-66494-7.