Publication Records

BUOSI, Samuele, Mohan TIMILSINA, Adriann JANIK, Luca COSTABELLO, Maria TORRENTE, Mariano PROVENCIO, Dirk FEY and 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, vol. 2024, No 235, p. 121-127. ISSN 0957-4174. Available from: https://dx.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 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, 2023, vol. 22, No 4, p. 781-788. ISSN 1536-1241. Available from: https://dx.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 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, 2023, vol. 7, e2200062, p. 1-11. ISSN 2473-4276. Available from: https://dx.doi.org/10.1200/CCI.22.00062.

NOVACEK, Vít, Marko ŘEHÁČEK, Petr ZELINA and 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 and Virginia CALVO. An Artificial Intelligence-Based Tool for Data Analysis and Prognosis in Cancer Patients: Results from the Clarify Study. CANCERS. SWITZERLAND: MDPI, 2022, vol. 14, No 16, p. 1-10. ISSN 2072-6694. Available from: https://dx.doi.org/10.3390/cancers14164041.

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, 2022, vol. 156, No 1, p. 205-217. ISSN 0893-6080. Available from: https://dx.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 and 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, p. 1082-1091. ISSN 1559-4076.

FIALA, Martin. Umělá inteligence v Hollywoodu aneb Herecká kariéra i po smrti (Artificial Intelligence in Hollywood - Posthumous Acting Career). Kontexty : Centrum pro studium demokracie a kultury. Brno: Centrum pro studium demokracie a kultury, 2022, vol. 14, No 1, p. 52-60. ISSN 1803-6988.

ZELINA, Petr, Jana HALÁMKOVÁ and 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, p. 1362-1368. ISBN 978-1-6654-6820-6. Available from: https://dx.doi.org/10.1109/BIBM55620.2022.9995229.

MOHAMED, Sameh K, Ayah NOUNU and Vít NOVÁČEK. Biological applications of knowledge graph embedding models. Briefings in Bioinformatics. Oxford (UK): Oxford University Press, 2021, vol. 22, No 2, p. 1679-1693. ISSN 1467-5463. Available from: https://dx.doi.org/10.1093/bib/bbaa012.

AU, Cam-Duc and Andreas HIESE. Künstliche Intelligenz in Banken: Worauf es im aktuellen Marktumfeld ankommt (Artificial intelligence in banks: what is important in the current market environment). Nr. 3. Munich: Das Wirtschaftsmagazin zur Digitalisierung - Digitale Welt - Science Meets Industry, 2021, 4 pp.

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. Online. In Adam B. Wilcox, Randi Foraker, Kensaku Kawamoto, Yves A. Lussier, Nadine McCleary. Proceedings of AMIA 2021 Annual Symposium. San Diego: AMIA, 2021, p. 853-862. ISSN 1942-597X.

MOHAMED, Sameh K, Vít NOVACEK and Emir MUNOZ. On Training Knowledge Graph Embedding Models. Information. Switzerland: MDPI, 2021, vol. 12, No 4, p. 147-165. ISSN 2078-2489. Available from: https://dx.doi.org/10.3390/info12040147.

MAROTTA, Gianfranco and 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 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, 2021, vol. 16, No 10, p. 991-992. ISSN 1556-1380. Available from: https://dx.doi.org/10.1016/j.jtho.2021.08.294.

KRAHNHOF, Philippe and Cam-Duc AU. Die Bedeutung von Daten und Künstlicher Intelligenz für Banken (The Importance of Big Data and Artificial Intelligence in Banking). Bank intern - Der Insider-Report für den leitenden Banker: Aktuell, Kompakt, Kritisch, Unabhängig. Düsseldorf: kapital-markt Verlag GmbH, 2020, p. 1-2. ISSN 1615-522X.

KRAUSOVÁ, Alžběta. Status elektronické osoby v evropském právu v kontextu českého práva (Status of Electronic Person in European Law in the Context of Czech Law). Právní rozhledy. Nakladatelství C.H. Beck, 2017, vol. 25, No 20, p. 700-704. ISSN 1210-6410.

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

PEÑA MÉNDEZ, Eladia Maria, Marcos BÁEZ, Josef HAVEL and Jaromír VAŇHARA. Aplicaciones de Redes Neuronales (ANN) en Ciencia. (Artificial Neural Network (ANN) in Science.). 4th Edition, Erasmus Program. Spain: Universidad de La Laguna, Tenerife, Spain, 2012, 62 pp. TF-850/2012.

VAŇHARA, Jaromír, Milada BOCÁKOVÁ, Peter FEDOR, Kristýna JANIŠOVÁ, Eladia Maria PEŇA MÉNDEZ, Natália MURÁRIKOVÁ and 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 and 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, vol. 101, No 1, p. 165-175. ISSN 0007-4853.

HAVEL, Josef, Jaromír VAŇHARA, Eladia PEÑA-MÉNDEZ and Marcos BÁEZ. Aplicaciones de Redes Neuronales en Ciencia (Artificial Neural Networks in Science). 2nd ed. La Laguna, Tenerife: University of La Lagauna, 2010, 68 pp.

FEDOR, Peter, Jaromír VAŇHARA, Josef HAVEL and O. MAJZLAN. Artificial intelligence, a challenge for semiautomatic thrips identification. Journal of Insect Science. Univ Arizona, USA: Sea World Resort, Queensland, Australia, 2010, vol. 10, No 166, p. 13-14. ISSN 1536-2442.

VAŇHARA, Jaromír, Josef HAVEL and Peter FEDOR. Artificial Neural Networks (ANN) in entomology. The Tachinid Times. Ottawa: Agriculture & Agri-Food Canada, 2010, 23 (2010), No 1, p. 9-13. ISSN 1802-128X.

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

KRAUSOVÁ, Alžběta. Hranice kyberprostoru a podstaty člověka (Borders of cyberspace and the human nature). In Přednáška v rámci předmětu Normativní systémy v kyberprostoru, PrF MU. 2010.

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

VAŇHARA, Jaromír, Peter FEDOR, Igor MALENOVSKÝ, Natália MURÁRIKOVÁ and 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, vol. 1, No 1, p. 187-198. ISSN 1802-5943.

VEČEŘA, Martin, Lubomír POPELÍNSKÝ and 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, p. 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, p. 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, p. 145-154. ISBN 80-903298-4-5.

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

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, 2005, p. 107-108. ISBN 80-239-5155-6.

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, 2005, p. 143-144. ISBN 80-7262-382-6.

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, 2005, p. 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 (Mind and Computers). Universitas. Brno: MU, 2002, vol. 35, No 1, p. 7-11. ISSN 1212-8139.

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