Vámi zvolený výběr obsahuje 35 výsledků. Upravit výběr.
Filtrování publikací

    2024

    1. Advancing the PAM Algorithm to Semi-Supervised k-Medoids Clustering
      JÁNOŠOVÁ, Miriama, Andreas LANG, Petra BUDÍKOVÁ, Erich SCHUBERT a Vlastislav DOHNAL. Advancing the PAM Algorithm to Semi-Supervised k-Medoids Clustering. In Edgar Chávez, Benjamin Kimia, Jakub Lokoč, Marco Patella, Jan Sedmidubsky. 17th International Conference on Similarity Search and Applications (SISAP). Cham: Springer, 2024, s. 223–237, 14 s. ISBN 978-3-031-75822-5. Dostupné z: https://dx.doi.org/10.1007/978-3-031-75823-2_19.
      Podrobněji: https://is.muni.cz/publication/2428377/cs
    2. AlphaFind (software)
      SLANINÁKOVÁ, Terézia, David PROCHÁZKA, Jakub ČILLÍK, Lucie NOVOTNÁ a Adrián ROŠINEC. AlphaFind. 2024. Dostupné z: https://dx.doi.org/10.5281/zenodo.11085862.
      Podrobněji: https://is.muni.cz/publication/2441942/cs
    3. AlphaFind — discover structure similarity across the proteome in AlphaFold DB
      SLANINÁKOVÁ, Terézia, David PROCHÁZKA, Jaroslav OĽHA, Adrián ROŠINEC, Katarína GREŠOVÁ, Jakub ČILLÍK, Miriama JÁNOŠOVÁ, Jana PORUBSKÁ, Radka SVOBODOVÁ, Vlastislav DOHNAL a Matej ANTOL. AlphaFind — discover structure similarity across the proteome in AlphaFold DB. In Elixir All-Hands 2024. 2024. Dostupné z: https://dx.doi.org/10.7490/f1000research.1119872.1.
      Podrobněji: https://is.muni.cz/publication/2441940/cs
    4. AlphaFind — discover structure similarity across the proteome in AlphaFold DB
      GREŠOVÁ, Katarína, Pavlína ŠPRINGEROVÁ, Terézia SLANINÁKOVÁ, David PROCHÁZKA, Jaroslav OĽHA, Adrián ROŠINEC, Miriama JÁNOŠOVÁ, Jakub ČILLÍK, Jana PORUBSKÁ, Radka SVOBODOVÁ, Vlastislav DOHNAL a Matej ANTOL. AlphaFind — discover structure similarity across the proteome in AlphaFold DB. In ECCB2024. 2024.
      Podrobněji: https://is.muni.cz/publication/2436357/cs
    5. AlphaFind: Discover structure similarity across the entire known proteome
      PROCHÁZKA, David, Terézia SLANINÁKOVÁ, Jaroslav OĽHA, Adrián ROŠINEC, Katarína GREŠOVÁ, Miriama JÁNOŠOVÁ, Jakub ČILLÍK, Jana PORUBSKÁ, Radka SVOBODOVÁ, Vlastislav DOHNAL a Matej ANTOL. AlphaFind: Discover structure similarity across the entire known proteome. bioRxiv, 2024.
      Podrobněji: https://is.muni.cz/publication/2375820/cs
    6. AlphaFind: Discover structure similarity across the entire known proteome – data and model
      NOVOTNÁ, Lucie, Terézia SLANINÁKOVÁ, David PROCHÁZKA, Lukáš HEJTMÁNEK, Katarína GREŠOVÁ, Jaroslav OĽHA, Vlastislav DOHNAL, Adrián ROŠINEC a Matej ANTOL. AlphaFind: Discover structure similarity across the entire known proteome – data and model. 2024. Dostupné z: https://dx.doi.org/10.48700/datst.d35zf-1ja47.
      Podrobněji: https://is.muni.cz/publication/2441963/cs
    7. AlphaFind: discover structure similarity across the proteome in AlphaFold DB
      PROCHÁZKA, David, Terézia SLANINÁKOVÁ, Jaroslav OĽHA, Adrián ROŠINEC, Katarína GREŠOVÁ, Miriama JÁNOŠOVÁ, Jakub ČILLÍK, Jana PORUBSKÁ, Radka SVOBODOVÁ, Vlastislav DOHNAL a Matej ANTOL. AlphaFind: discover structure similarity across the proteome in AlphaFold DB. Nucleic acids research. Oxford: Oxford University Press, 2024, roč. 52, July 5, s. W182-W186, 5 s. ISSN 0305-1048. Dostupné z: https://dx.doi.org/10.1093/nar/gkae397.
      Podrobněji: https://is.muni.cz/publication/2402219/cs
    8. Antarstick: Extracting Snow Height From Time-Lapse Photography
      LANG, Matěj, Radoslav MRÁZ, Marek TRTÍK, Sergej STOPPEL, Jan BYŠKA a Barbora KOZLÍKOVÁ. Antarstick: Extracting Snow Height From Time-Lapse Photography. COMPUTER GRAPHICS FORUM. England: Wiley, 2024, roč. 43, č. 3, s. 1-11. ISSN 0167-7055. Dostupné z: https://dx.doi.org/10.1111/cgf.15088.
      Podrobněji: https://is.muni.cz/publication/2401777/cs
    9. Better Low-Resource Machine Translation with Smaller Vocabularies
      SIGNORONI, Edoardo a Pavel RYCHLÝ. Better Low-Resource Machine Translation with Smaller Vocabularies. Online. In Nöth, Elmar and Horák, Aleš and Sojka, Petr. Text, Speech, and Dialogue. Cham: Springer, 2024, s. 184--195. ISBN 978-3-031-70562-5. Dostupné z: https://dx.doi.org/10.1007/978-3-031-70563-2_15.
      Podrobněji: https://is.muni.cz/publication/2445794/cs
    10. Bilingual Lexicon Induction From Comparable and Parallel Data: A Comparative Analysis
      DENISOVÁ, Michaela a Pavel RYCHLÝ. Bilingual Lexicon Induction From Comparable and Parallel Data: A Comparative Analysis. Online. In Nöth, E., Horák, A., Sojka, P. International Conference on Text, Speech, and Dialogue. Cham: Springer Nature Switzerland, 2024, s. 30-42, 12 s. ISBN 978-3-031-70563-2. Dostupné z: https://dx.doi.org/10.1007/978-3-031-70563-2_3.
      Podrobněji: https://is.muni.cz/publication/2426237/cs
    11. Catalog of Code Quality Defects in Introductory Programming
      ŘECHTÁČKOVÁ, Anna, Radek PELÁNEK a Tomáš EFFENBERGER. Catalog of Code Quality Defects in Introductory Programming. Online. In Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1. Milan, Italy: Association for Computing Machinery, 2024, s. 59-65. ISBN 979-8-4007-0600-4. Dostupné z: https://dx.doi.org/10.1145/3649217.3653638.
      Podrobněji: https://is.muni.cz/publication/2423237/cs
    12. Concept-aware Data Construction Improves In-context Learning of Language Models
      ŠTEFÁNIK, Michal, Marek KADLČÍK a Petr SOJKA. Concept-aware Data Construction Improves In-context Learning of Language Models. In ICLR 2024 Workshop on Mathematical and Empirical Understanding of Foundation Models. 2024. Dostupné z: https://dx.doi.org/10.48550/arXiv.2403.09703.
      Podrobněji: https://is.muni.cz/publication/2403040/cs
    13. Design and evaluation of alphabetic and numeric input methods for virtual reality
      KUŤÁK, David, Danielle Kathryn LANGLOIS, Roman ROZIČ, Jan BYŠKA, Haichao MIAO, Simone KRIGLSTEIN a Barbora KOZLÍKOVÁ. Design and evaluation of alphabetic and numeric input methods for virtual reality. Computers & Graphics. Elsevier, 2024. ISSN 0097-8493. Dostupné z: https://dx.doi.org/10.1016/j.cag.2024.103955.
      Podrobněji: https://is.muni.cz/publication/2409097/cs
    14. Developing Automatic Methods for Teaching Code Quality in Introductory Programming
      ŘECHTÁČKOVÁ, Anna. Developing Automatic Methods for Teaching Code Quality in Introductory Programming. Online. In Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2. Milan, Italy: Association for Computing Machinery, 2024, s. 826-827. ISBN 979-8-4007-0603-5. Dostupné z: https://dx.doi.org/10.1145/3649405.3659536.
      Podrobněji: https://is.muni.cz/publication/2447857/cs
    15. Fast, structure-based searching in a large-scale protein data repository
      SLANINÁKOVÁ, Terézia, Katarína GREŠOVÁ, David PROCHÁZKA, Viktória SPIŠAKOVÁ, Adrián ROŠINEC, Jakub ČILLÍK, Pavlína ŠPRINGEROVÁ, Aleš KŘENEK, Vlastislav DOHNAL, Radka SVOBODOVÁ a Matej ANTOL. Fast, structure-based searching in a large-scale protein data repository. In ELIXIR CZ Annual Conference. 2024. Dostupné z: https://dx.doi.org/10.13140/RG.2.2.31355.53281.
      Podrobněji: https://is.muni.cz/publication/2441958/cs
    16. Generating High-Quality F0 Embeddings Using the Vector-Quantized Variational Autoencoder
      PORTEŠ, David a Aleš HORÁK. Generating High-Quality F0 Embeddings Using the Vector-Quantized Variational Autoencoder. In Elmar Nöth et al. Text, Speech, and Dialogue. Cham: Springer Nature Switzerland, 2024, s. 139-148. ISBN 978-3-031-70565-6. Dostupné z: https://dx.doi.org/10.1007/978-3-031-70566-3_13.
      Podrobněji: https://is.muni.cz/publication/2425719/cs
    17. GraSR: Protein structural embeddings of AlphaFold DB
      NOVOTNÁ, Lucie, Terézia SLANINÁKOVÁ, David PROCHÁZKA, Lukáš HEJTMÁNEK, Adrián ROŠINEC, Jaroslav OĽHA, Katarína GREŠOVÁ, Vlastislav DOHNAL a Matej ANTOL. GraSR: Protein structural embeddings of AlphaFold DB. 2024. Dostupné z: https://dx.doi.org/10.48700/datst.br8aq-db495.
      Podrobněji: https://is.muni.cz/publication/2439240/cs
    18. Interactive Diagrams for Software Documentation
      ŠTĚPÁNEK, Adam, David KUŤÁK, Barbora KOZLÍKOVÁ a Jan BYŠKA. Interactive Diagrams for Software Documentation. 2024, 12 s.
      Podrobněji: https://is.muni.cz/publication/2418877/cs
    19. KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual Machine-Generated Text Detection
      SPIEGEL, Michal a Macko DOMINIK. KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual Machine-Generated Text Detection. Online. In Atul Kr. Ojha, A. Seza Doğruöz, Harish Tayyar Madabushi, Giovanni Da San Martino, Sara Rosenthal, Aiala Rosá. Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024). Mexico City, Mexico: Association for Computational Linguistics, 2024, s. 558–564, 2118 s. ISBN 979-8-89176-107-0. Dostupné z: https://dx.doi.org/10.18653/v1/2024.semeval-1.84.
      Podrobněji: https://is.muni.cz/publication/2444115/cs
    20. Learned Metric Index (software)
      SLANINÁKOVÁ, Terézia a David PROCHÁZKA. Learned Metric Index. 2024. Dostupné z: https://dx.doi.org/10.5281/zenodo.13860051.
      Podrobněji: https://is.muni.cz/publication/2438599/cs
    21. LMI-10: Protein structural embeddings of AlphaFold DB
      NOVOTNÁ, Lucie, Terézia SLANINÁKOVÁ, David PROCHÁZKA, Lukáš HEJTMÁNEK, Adrián ROŠINEC, Jaroslav OĽHA, Katarína GREŠOVÁ, Vlastislav DOHNAL a Matej ANTOL. LMI-10: Protein structural embeddings of AlphaFold DB. 2024. Dostupné z: https://dx.doi.org/10.48700/datst.t45hr-bcw17.
      Podrobněji: https://is.muni.cz/publication/2439238/cs
    22. LMI-30: Protein structural embeddings of AlphaFold DB
      NOVOTNÁ, Lucie, Terézia SLANINÁKOVÁ, David PROCHÁZKA, Lukáš HEJTMÁNEK, Adrián ROŠINEC, Jaroslav OĽHA, Katarína GREŠOVÁ, Vlastislav DOHNAL a Matej ANTOL. LMI-30: Protein structural embeddings of AlphaFold DB. 2024. Dostupné z: https://dx.doi.org/10.48700/datst.kgb8j-r5f84.
      Podrobněji: https://is.muni.cz/publication/2439241/cs
    23. Make Some Energy: Tangible and Interactive Chemical Reactions
      POKOJNÁ, Hana, Simone KRIGLSTEIN, Barbora KOZLÍKOVÁ a Daniel Ricardo ECHEVERRI GIRALDO. Make Some Energy: Tangible and Interactive Chemical Reactions. Online. Linz, Austria: Ars Electronica, 2024, s. 19-25. Dostupné z: https://dx.doi.org/10.5281/zenodo.1338283.
      Podrobněji: https://is.muni.cz/publication/2422039/cs
    24. New Human-Annotated Dataset of Czech Health Records for Training Medical Concept Recognition Models
      ANETTA, Krištof a Aleš HORÁK. New Human-Annotated Dataset of Czech Health Records for Training Medical Concept Recognition Models. In Nöth, Elmar. Text, Speech, and Dialogue. Cham: Springer Nature Switzerland, 2024, s. 110-120. ISBN 978-3-031-70562-5. Dostupné z: https://dx.doi.org/10.1007/978-3-031-70563-2_9.
      Podrobněji: https://is.muni.cz/publication/2427858/cs
    25. Personalized Similarity Models for Evaluating Rehabilitation Exercises from Monocular Videos
      JÁNOŠOVÁ, Miriama, Petra BUDÍKOVÁ a Jan SEDMIDUBSKÝ. Personalized Similarity Models for Evaluating Rehabilitation Exercises from Monocular Videos. Online. In 17th International Conference on Similarity Search and Applications (SISAP). Cham: Springer, 2024, s. 73-87. ISBN 978-3-031-75822-5. Dostupné z: https://dx.doi.org/10.1007/978-3-031-75823-2_7.
      Podrobněji: https://is.muni.cz/publication/2428381/cs
    26. ProjectAnatomy: A Handy Tool for Learning Forearm Anatomy with Augmented Physicalisations
      POKOJNÁ, Hana, Barbora KOZLÍKOVÁ, Katarína FURMANOVÁ a Simone KRIGLSTEIN. ProjectAnatomy: A Handy Tool for Learning Forearm Anatomy with Augmented Physicalisations. Behaviour & Information Technology Special Issue "Data Physicalisations in the Wild". Abingdon, United Kingdom: Taylor and Francis, 2024. ISSN 1362-3001. Dostupné z: https://dx.doi.org/10.1080/0144929X.2024.2413161.
      Podrobněji: https://is.muni.cz/publication/2439317/cs
    27. REHAB24-6: Physical Therapy Dataset for Analyzing Pose Estimation Methods
      ČERNEK, Andrej, Jan SEDMIDUBSKÝ a Petra BUDÍKOVÁ. REHAB24-6: Physical Therapy Dataset for Analyzing Pose Estimation Methods. Online. In 17th International Conference on Similarity Search and Applications (SISAP). Cham: Springer, 2024, s. 18-33. ISBN 978-3-031-75822-5. Dostupné z: https://dx.doi.org/10.1007/978-3-031-75823-2_2.
      Podrobněji: https://is.muni.cz/publication/2425837/cs
    28. Scaling Learned Metric Index to 100M Datasets
      PROCHÁZKA, David, Terézia SLANINÁKOVÁ, Jozef ČERŇANSKÝ, Jaroslav OĽHA, Matej ANTOL a Vlastislav DOHNAL. Scaling Learned Metric Index to 100M Datasets. In Edgar Chávez, Benjamin Kimia, Jakub Lokoč, Marco Patella, Jan Sedmidubsky. 17th International Conference on Similarity Search and Applications (SISAP 2024). Cham: Springer, 2024, s. 266-273. ISBN 978-3-031-75822-5. Dostupné z: https://dx.doi.org/10.1007/978-3-031-75823-2_22.
      Podrobněji: https://is.muni.cz/publication/2428378/cs
    29. Self-Training Language Models in Arithmetic Reasoning
      KADLČÍK, Marek, Michal ŠTEFÁNIK, Ondřej SOTOLÁŘ a Vlastimil MARTINEK. Self-Training Language Models in Arithmetic Reasoning. In ICLR 2024 Workshop on Large Language Model (LLM) Agents. 2024.
      Podrobněji: https://is.muni.cz/publication/2403039/cs
    30. Stories with Style: Narrative, Virtual, and Imaginary Spaces of Reading Fiction in Virtual Reality
      KUNZOVÁ, Nikola, Adam ŠTĚPÁNEK, Daniel Ricardo ECHEVERRI GIRALDO, Danielle Kathryn LANGLOIS a Simone KRIGLSTEIN. Stories with Style: Narrative, Virtual, and Imaginary Spaces of Reading Fiction in Virtual Reality. 2024. Dostupné z: https://dx.doi.org/10.1145/3701571.3701601.
      Podrobněji: https://is.muni.cz/publication/2447529/cs
    31. The Automatic Determination of Translation Equivalents in Lexicography: What Works and What Doesn’t?
      DENISOVÁ, Michaela, Gilles-Maurice DE SCHRYVER a Pavel RYCHLÝ. The Automatic Determination of Translation Equivalents in Lexicography: What Works and What Doesn’t?. Online. In Kristina Š. Despot, Ana Ostroški Anić, Ivana Brač. Proceedings of the XXI EURALEX International Congress. Cavtat, Croatia: Institut za hrvatski jezik, 2024, s. 286-297. ISBN 978-953-7967-77-2.
      Podrobněji: https://is.muni.cz/publication/2441679/cs
    32. Towards Personalized Similarity Search for Vector Databases
      MAHRÍK, Marek, Matúš ŠIKYŇA, Vladimír MÍČ a Pavel ZEZULA. Towards Personalized Similarity Search for Vector Databases. In 17th International Conference on Similarity Search and Applications (SISAP 2024). Cham: Springer, 2024, s. 126-139. ISBN 978-3-031-75822-5. Dostupné z: https://dx.doi.org/10.1007/978-3-031-75823-2_11.
      Podrobněji: https://is.muni.cz/publication/2429637/cs
    33. 3D-af-Surfer: Protein structural embeddings of AlphaFold DB
      NOVOTNÁ, Lucie, Terézia SLANINÁKOVÁ, David PROCHÁZKA, Lukáš HEJTMÁNEK, Adrián ROŠINEC, Jaroslav OĽHA, Katarína GREŠOVÁ, Vlastislav DOHNAL a Matej ANTOL. 3D-af-Surfer: Protein structural embeddings of AlphaFold DB. 2024. Dostupné z: https://dx.doi.org/10.48700/datst.tbws0-hj147.
      Podrobněji: https://is.muni.cz/publication/2441960/cs
    34. 3DZD: Protein structural embeddings of AlphaFold DB v4
      NOVOTNÁ, Lucie, Terézia SLANINÁKOVÁ, David PROCHÁZKA, Lukáš HEJTMÁNEK, Adrián ROŠINEC, Jaroslav OĽHA, Katarína GREŠOVÁ, Vlastislav DOHNAL a Matej ANTOL. 3DZD: Protein structural embeddings of AlphaFold DB v4. 2024. Dostupné z: https://dx.doi.org/10.48700/datst.t45hr-bcw17.
      Podrobněji: https://is.muni.cz/publication/2441959/cs
    35. 3DZD: Protein structural embeddings of ESM Atlas
      NOVOTNÁ, Lucie, Terézia SLANINÁKOVÁ, David PROCHÁZKA, Lukáš HEJTMÁNEK, Adrián ROŠINEC, Jaroslav OĽHA, Katarína GREŠOVÁ, Vlastislav DOHNAL a Matej ANTOL. 3DZD: Protein structural embeddings of ESM Atlas. 2024. Dostupné z: https://dx.doi.org/10.48700/datst.cd6zk-k0v44.
      Podrobněji: https://is.muni.cz/publication/2436500/cs
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Zobrazeno: 16. 11. 2024 05:39