Výzkumná skupina znalostních technologií

2024

LOJDA, J.; STRNADEL, J.; ŠIMEK, V.; SMRŽ, P.; HAYES, M.; POPP, R. The LoLiPoP-IoT Project: Long Life Power Platforms for Internet of Things. Paris: Institute of Electrical and Electronics Engineers, 2024. p. 0-0. Detail

2023

APAROVICH, M.; KESIRAJU, S.; DUFKOVÁ, A.; SMRŽ, P. FIT BUT at SemEval-2023 Task 12: Sentiment Without Borders - Multilingual Domain Adaptation for Low-Resource Sentiment Classification. In Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023). Toronto (online): Association for Computational Linguistics, 2023. p. 1518-1524. ISBN: 978-1-959429-99-9. Detail

FAJČÍK, M.; MOTLÍČEK, P.; SMRŽ, P. Claim-Dissector: An Interpretable Fact-Checking System with Joint Re-ranking and Veracity Prediction. In Findings of the Association for Computational Linguistics: ACL 2023. ACL. Toronto: Association for Computational Linguistics, 2023. p. 10184-10205. ISBN: 978-1-959429-62-3. Detail

ZULUAGA-GOMEZ, J.; SARFJOO, S.; PRASAD, A.; NIGMATULINA, I.; MOTLÍČEK, P.; ONDŘEJ, K.; OHNEISER, O.; HELMKE, H. BERTraffic: BERT-based Joint Speaker Role and Speaker Change Detection for Air Traffic Control Communications. In IEEE Spoken Language Technology Workshop, SLT 2022 - Proceedings. Doha: IEEE Signal Processing Society, 2023. p. 633-640. ISBN: 978-1-6654-7189-3. Detail

2022

BURDISSO, S.; FAJČÍK, M.; SMRŽ, P.; MOTLÍČEK, P. IDIAPers @ Causal News Corpus 2022: Efficient Causal Relation Identification Through a Prompt-based Few-shot Approach. In Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2022). Abu Dhabi: Association for Computational Linguistics, 2022. p. 61-69. ISBN: 978-1-959429-05-0. Detail

DOČEKAL, M.; SMRŽ, P. Query-Based Keyphrase Extraction from Long Documents. In The International FLAIRS Conference Proceedings. 2022. Jensen Beach: LibraryPress@UF, 2022. p. 1-4. ISSN: 2334-0762. Detail

FAJČÍK, M.; SMRŽ, P.; MOTLÍČEK, P.; BURDISSO, S. IDIAPers @ Causal News Corpus 2022: Extracting Cause-Effect-Signal Triplets via Pre-trained Autoregressive Language Model. In Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2022). Abu Dhabi: Association for Computational Linguistics, 2022. p. 70-78. ISBN: 978-1-959429-05-0. Detail

2021

ALI, A.; SMRŽ, P. Camera auto-calibration for complex scenes. In SPIE 11605. Rome: SPIE - the international society for optics and photonics, 2021. p. 1-11. ISBN: 978-1-5106-4041-2. Detail

FAJČÍK, M.; DOČEKAL, M.; ONDŘEJ, K.; SMRŽ, P. R2-D2: A Modular Baseline for Open-Domain Question Answering. In Findings of the Association for Computational Linguistics: EMNLP 2021. Findings of the Association for Computational Linguistics. Punta Cana: Association for Computational Linguistics, 2021. p. 854-870. ISBN: 978-1-955917-10-0. Detail

FAJČÍK, M.; JON, J.; SMRŽ, P. Rethinking the Objectives of Extractive Question Answering. In Proceedings of the 3rd Workshop on Machine Reading for Question Answering. Proceedings of the 3rd Workshop on Machine Reading for Question Answering. Punta Cana: Association for Computational Linguistics, 2021. p. 14-27. ISBN: 978-1-954085-95-4. Detail

HELMKE, H.; KLEINERT, M.; SHETTY, S.; OHNEISER, O.; EHR, H.; PRASAD, A.; MOTLÍČEK, P.; VESELÝ, K.; ONDŘEJ, K.; SMRŽ, P.; HARFMANN, J.; WINDISCH, C. Readback Error Detection by Automatic Speech Recognition to Increase ATM Safety. In Proceedings of ATM Seminar. on-line: EUROPEAN ORGANISATION FOR THE SAFETY OF AIR NAVIGATION, 2021. p. 1-10. Detail

MIN, S.; FAJČÍK, M.; DOČEKAL, M.; ONDŘEJ, K.; SMRŽ, P. NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. Proceedings of the NeurIPS 2020 Competition and Demonstration Track. Proceedings of Machine Learning Research. online: Proceedings of Machine Learning Research, 2021. p. 86-111. ISSN: 2640-3498. Detail

2020

DOČEKAL, M.; FAJČÍK, M.; JON, J.; SMRŽ, P. JokeMeter at SemEval-2020 Task 7: Convolutional Humor. In Proceedings of the Fourteenth Workshop on Semantic Evaluation. 2020. Barcelona (online): Association for Computational Linguistics, 2020. p. 843-851. ISBN: 978-1-952148-31-6. Detail

FAJČÍK, M.; DOČEKAL, M.; JON, J.; SMRŽ, P. BUT-FIT at SemEval-2020 Task 5: Automatic detection of counterfactual statements with deep pre-trained language representation models. In Proceedings of the Fourteenth Workshop on Semantic Evaluation. Barcelona (online): Association for Computational Linguistics, 2020. p. 437-444. ISBN: 978-1-952148-31-6. Detail

HERRMANN, E.; MOLINA RUIZ, E.; RODRIGUEZ GONZÁLEZ, A.; SMRŽ, P.; WENDT, J.; WOLFE, C.; ZANIN, M. Developing a Data Analytics Toolbox to Support CPS-based Services. In Mediterranean Conference on Embedded Computing. New York: IEEE Biometric Council, 2020. p. 58-64. ISBN: 978-1-7281-6949-1. Detail

JON, J.; FAJČÍK, M.; DOČEKAL, M.; SMRŽ, P. BUT-FIT at SemEval-2020 Task 4: Multilingual commonsense. In Proceedings of the Fourteenth Workshop on Semantic Evaluation. Barcelona: Association for Computational Linguistics, 2020. p. 374-390. ISBN: 978-1-952148-31-6. Detail

MARCZAK, M.; GJONESKA, B.; BURKAUSKAS, J.; DASKALOU, V.; FLORA, K.; GAO, S.; LI, Y.; LIAUGAUDAITE, V.; MARKOVIKJ, M.; ROELANDS, M.; SMRŽ, P.; VAZ-REBELO, P. Problematic Internet Use: Media Portrayal across Eight Countries. PSIHOLOGIJA, 2020, vol. 53, no. 4, p. 411-430. ISSN: 0048-5705. Detail

2019

CORREIA, A.; WOLFF, C.; ZANIN, M.; MENASALVAS, E.; HERRMANN, E.; CORRAL, V.; KACHELMANN, M.; DELONG, R.; SMRŽ, P. Cross-CPP - An Ecosystem for Provisioning, Consolidating, and Analysing Big Data from Cyber-Physical Products. In Proceedings of Cyber-Physical Social Systems (CPSS 2019) co-located with the 9th International Conference on the Internet of Things (IoT 2019). CEUR Workshop Proceedings. Madrid: CEUR-WS.org, 2019. p. 1-8. ISSN: 1613-0073. Detail

FAJČÍK, M.; BURGET, L.; SMRŽ, P. BUT-FIT at SemEval-2019 Task 7: Determining the Rumour Stance with Pre-Trained Deep Bidirectional Transformers. In Proceedings of the 13th International Workshop on Semantic Evaluation. Minneapolis, Minnesota: Association for Computational Linguistics, 2019. p. 1097-1104. ISBN: 978-1-950737-06-2. Detail

TROTTNOW, J.; SPIELMANN, S.; HERFET, T.; LANGE, T.; CHELLI, K.; ŠOLONY, M.; SMRŽ, P.; ZEMČÍK, P.; AENCHBACHER, W.; GROGAN, M.; ALAIN, M.; SMOLIC, ALJOSA, S.; CANH, T.; VU-THANH, O.; VAZQUEZ-CORRAL, J.; BERTAHNIO, M. The Potential of Light Fields in Media Productions. In SA'19: SIGGRAPH ASIA 2019 TECHNICAL BRIEFS. TECHNICAL BRIEFS. New York: Association for Computing Machinery, 2019. p. 71-74. ISBN: 978-1-4503-6945-9. Detail

2018

AFZAL, W.; BRUNELIERE, H.; DI RUSCIO, D.; SADOVYKH, A.; MAZZINI, S.; CARIOU, E.; TRUSCAN, D.; CABOT, J.; FIELD, D.; POMANTE, L.; SMRŽ, P. The MegaM@Rt2 ECSEL Project: MegaModelling at Runtime - Scalable Model-Based Framework for Continuous Development and Runtime Validation of Complex Systems. In Proceedings of the Euromicro Conference on Digital System Design (DSD). Vienna: IEEE Computer Society, 2018. p. 494-501. ISBN: 978-1-5386-2146-2. Detail

AFZAL, W.; BRUNELIERE, H.; DI RUSCIO, D.; SADOVYKH, A.; MAZZINI, S.; CARIOU, E.; TRUSCAN, D.; CABOT, J.; GÓMEZ, A.; GORRONOGOITIA, J.; POMANTE, L.; SMRŽ, P. The MegaM@Rt2 ECSEL Project: MegaModelling at Runtime - Scalable Model-Based Framework for Continuous Development and Runtime Validation of Complex Systems. Microprocessors and Microsystems, 2018, vol. 61, no. 9, p. 86-95. ISSN: 0141-9331. Detail

BUITELAAR, P.; WOOD, I.; NEGI, S.; ARCAN, M.; MCCRAE, J.; ABELE, A.; ROBIN, C.; ANDRYUSHECHKIN, V.; ZIAD, H.; SAGHA, H.; SCHMITT, M.; SCHULLER, B.; SÁNCHEZ-RADA, J.; IGLESIAS, C.; NAVARRO, C.; GIEFER, A.; HEISE, N.; MASUCCI, V.; DANZA, F.; CATERINO, C.; SMRŽ, P.; HRADIŠ, M.; POVOLNÝ, F.; KLIMEŠ, M.; MATĚJKA, P.; TUMMARELLO, G. MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis. IEEE TRANSACTIONS ON MULTIMEDIA, 2018, vol. 20, no. 9, p. 2454-2465. ISSN: 1520-9210. Detail

DYTRYCH, J.; SMRŽ, P. Advanced User Interfaces for Semantic Annotation of Complex Relations in Text. In Agents and Artificial Intelligence. Lecture Notes in Computer Science. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2018. p. 205-221. ISBN: 978-3-319-93581-2. ISSN: 0302-9743. Detail

2017

FAJČÍK, M.; SMRŽ, P.; ZACHARIÁŠOVÁ, M. Automation of Processor Verification Using Recurrent Neural Networks. In 18th International Workshop on Microprocessor and SOC Test, Security and Verification (MTV). Austin, Texas: Institute of Electrical and Electronics Engineers, 2017. p. 15-20. ISBN: 978-1-5386-3351-9. Detail

2016

DYTRYCH, J.; SMRŽ, P. Interaction Patterns in Computer-assisted Semantic Annotation of Text - An Empirical Evaluation. In Proceedings of the 8th International Conference on Agents and Artificial Intelligence. Volume 2: ICAART. Setúbal: SciTePress - Science and Technology Publications, 2016. p. 74-84. ISBN: 978-989-758-172-4. Detail

OTRUSINA, L.; SMRŽ, P. WTF-LOD - A New Resource for Large-Scale NER Evaluation. In Proceedings of the Tenth conference on International Language Resources and Evaluation (LREC'16). Portorož: European Language Resources Association, 2016. p. 3299-3302. ISBN: 978-2-9517408-9-1. Detail

2015

BLAT, J.; EVANS, A.; HILTON, A.; IMRE, E.; KIM, H.; NIKOLAIDIS, N.; PITAS, I.; POLOK, L.; SMRŽ, P.; TEFAS, A.; ZEMČÍK, P. IMPART: Big media data processing and analysis for film production. In IEEE International Conference on Multimedia Expo Workshops (ICMEW). Torino: 2015. p. 1-5. ISBN: 978-1-4799-7079-7. Detail

RYCHLÝ, M.; ŠKODA, P.; SMRŽ, P. Heterogeneity-Aware Scheduler for Stream Processing Frameworks. International Journal of Big Data Intelligence, 2015, vol. 2, no. 2, p. 70-80. ISSN: 2053-1397. Detail

SMRŽ, P.; DYTRYCH, J. Advanced Features of Collaborative Semantic Annotators - the 4A System. In Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference. Palo Alto, California: American Association for Artificial Intelligence, 2015. p. 233-236. ISBN: 978-1-57735-730-8. Detail

2014

OTRUSINA, L.; SMRŽ, P. Deep Learning from Web-Scale Corpora for Better Dictionary Interfaces. Proceedings of the 4th Workshop on Cognitive Aspects of the Lexicon (CogALex). Dublin: Association for Computational Linguistics, 2014. p. 22-30. ISBN: 978-1-63439-217-4. Detail

RYCHLÝ, M.; ŠKODA, P.; SMRŽ, P. Scheduling Decisions in Stream Processing on Heterogeneous Clusters. In 2014 Eighth International Conference on Complex, Intelligent and Software Intensive Systems. Birmingham: IEEE Computer Society, 2014. p. 614-619. ISBN: 978-1-4799-4325-8. Detail

2013

DENECKE, K.; KRIECK, M.; OTRUSINA, L.; SMRŽ, P.; DOLOG, P.; NEJDL, W.; VELASCO, E. How to Exploit Twitter for Public Health Monitoring. Methods of Information in Medicine, 2013, vol. 52, no. 4, p. 326-339. ISSN: 0026-1270. Detail

OTRUSINA, L.; SMRŽ, P. BUT-TYPED: Using domain knowledge for computing typed similarity. Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity. Atlanta: Association for Computational Linguistics, 2013. p. 119-123. ISBN: 978-1-937284-48-0. Detail

PETCU, D.; DI MARTINO, B.; VENTICINQUE, S.; RAK, M.; MÁHR, T.; LOPEZ, G.; BRITO, F.; COSSU, R.; STOPAR, M.; ŠPERKA, S.; STANKOVSKI, V. Experiences in building a mOSAIC of clouds. Journal of Cloud Computing: Advances, Systems and Applications, 2013, vol. 2, no. 12, p. 1-38. ISSN: 2192-113X. Detail

2012

POLOK, L.; SMRŽ, P. Fast Linear Algebra on GPU. IEEE conference proceedings. Liverpool: IEEE Computer Society, 2012. p. 1-6. ISBN: 978-0-7695-4749-7. Detail

QIU, R.; JI, Z.; NOYVIRT, A.; SOROKA, A.; SETCHI, R.; PHAM, D.; XU, S.; SHIVAROV, N.; PIGINI, L.; ARBEITER, G.; WEISSHARDT, F.; GRAF, B.; MAST, M.; BLASI, L.; FACAL, D.; ROOKER, M.; LOPEZ, R.; LI, D.; LIU, B.; KRONREIF, G.; SMRŽ, P. Towards robust personal assistant robots: Experience gained in the SRS project. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Vilamoura: Institute of Electrical and Electronics Engineers, 2012. p. 1651-1657. ISBN: 978-1-4673-1737-5. Detail

SMRŽ, P.; DENECKE, K.; DOLOG, P. Making use of social media data in public health. Proceedings of the 21st international conference companion on World Wide Web. New York: Association for Computing Machinery, 2012. p. 243-246. ISBN: 978-1-4503-1230-1. Detail

2011

DENECKE, K.; KIRCHNER, G.; DOLOG, P.; SMRŽ, P.; LINGE, J.; BACKFRIED, G.; DREESMAN, J. Event-Driven Architecture for Health Event Detection from Multiple Sources. Proceedings of the XXIII International Conference of the European Federation for Medical Informatics (MIE 2011). Oslo: IOS Press, 2011. p. 160-164. ISBN: 978-1-60750-805-2. Detail

OTRUSINA, L.; SMRŽ, P. Finding Indicators of Epidemiological Events by Analyzing Messages from Twitter and Other Social Media. 20th ACM Conference on Information and Knowledge Management workshop proceedings by ACM. Glasgow: Association for Computing Machinery, 2011. p. 1-4. ISBN: 978-1-4503-0950-9. Detail

POLOK, L.; SMRŽ, P. Implementing Random Indexing on GPU. Proceedings of the 19th High Performance Computing Symposium. HPC '11. Boston: SCS Publication House, 2011. p. 134-142. ISBN: 978-1-61782-840-9. Detail

SMRŽ, P.; DYTRYCH, J. Towards New Scholarly Communication: A Case Study of the 4A Framework. In Proceedings of the Workshop on Semantic Publications. CEUR Workshop Proceedings. Aachen: CEUR, 2011. p. 59-70. ISBN: 978-3-642-25952-4. ISSN: 1613-0073. Detail

2010

AVRITHIS, Y.; MYLONAS, P.; SOLACHIDIS, V.; GEYER-SCHULTZ, A.; HOSER, B.; CHAPMAN, S.; CIRAVEGNA, F.; STAAB, S.; SMRŽ, P.; KOMPATSIARIS, Y. Efficient Media Exploitation Towards Collective Intelligence. In Advances in Data Analysis, Data Handling and Business Intelligence. Studies in Classification, Data Analysis, and Knowledge Organization. Berlin: Springer Verlag, 2010. p. 723-732. ISBN: 978-3-642-01043-9. Detail

SCHMIDT, M.; SMRŽ, P. RDFa editor pro sémantické wiki. Znalost 2010. Sborník příspěvků 9. ročníku konference. Jindřichův Hradec: Fakulta managementu a informací VŠE, 2010. s. 255-258. ISBN: 978-80-245-1636-3. Detail

SOLACHIDIS, V.; MYLONAS, P.; GEYER-SCHULTZ, A.; HOSER, B.; CHAPMAN, S.; CIRAVEGNA, F.; LANFRANCHI, V.; SCHERP, A.; STAAB, S.; CONTOPOULOS, C.; GKIKA, I.; BAKAIMIS, B.; SMRŽ, P.; KOMPATSIARIS, Y.; AVRITHIS, Y. Collective Intelligence Generation from User Contributed Content. In Advances in Data Analysis, Data Handling and Business Intelligence. Studies in Classification, Data Analysis, and Knowledge Organization. Berlin: Springer Verlag, 2010. p. 765-774. ISBN: 978-3-642-01043-9. Detail

ŠILHAVÁ, J.; SMRŽ, P. Combination of Logistic Regression and Boosting to Predict Disease Outcome. Applied Statistics 2010 International Conference. Ribno, Bled: 2010. p. 35-35. ISBN: 978-961-92487-4-4. Detail

ŠILHAVÁ, J.; SMRŽ, P. Gene Ontology Driven Feature Filtering from Microarray Data. Znalosti 2010. 9th Annual Conference, Jindřichův Hradec. Jindřichův Hradec: 2010. s. 263-266. ISBN: 978-80-245-1636-3. Detail

ŠILHAVÁ, J.; SMRŽ, P. Improved Disease Outcome Prediction Based on Microarray and Clinical Data Combination and Pre-validation. Biomedical Engineering Systems and Technologies. Valencia: Springer Verlag, 2010. p. 36-41. ISBN: 978-3-540-92218-6. Detail

2009

KNOTH, P.; SCHMIDT, M.; SMRŽ, P. Information Extraction in the KiWi Project. Znalosti 2009. 8th Annual Conference, Brno. Bratislava: Faculty of Informatics and Information Technology Slovak University of Technology in Bratislava, 2009. p. 363-366. ISBN: 978-80-227-3015-0. Detail

KNOTH, P.; SCHMIDT, M.; SMRŽ, P.; ZDRÁHAL, Z. Towards a Framework for Comparing Automatic Term Recognition Methods. Znalosti 2009. 8th Annual Conference, Brno. Bratislava: Faculty of Informatics and Information Technology Slovak University of Technology in Bratislava, 2009. p. 83-94. ISBN: 978-80-227-3015-0. Detail

SCHMIDT, M.; SMRŽ, P. Information Extraction in Semantic Wikis. Fourth Workshop on Semantic Wikis. CEUR Workshop Proceedings. CEUR Workshop Proceedings, Vol 464. Hersonissos: Salzburg Research Forschungsgesellschaft M.B.H., 2009. p. 17-29. ISSN: 1613-0073. Detail

ŠILHAVÁ, J.; SMRŽ, P. Additional Predictive Value of Microarray Data Compared to Clinical Variables. PRIB 2009, 4th IAPR International Conference on Pattern Recognition in Bioinformatics. Sheffield: University of Sheffield, 2009. p. 1-6. ISBN: 978-0-9563399-0-4. Detail

2008

FURDÍK, K.; PARALIČ, J.; SMRŽ, P. Classification and Automatic Concept Map Creation in eLearning Environment. Znalosti 2008. Bratislava: Slovak University of Technology in Bratislava, 2008. p. 78-89. ISBN: 978-80-227-2827-0. Detail

KILGARRIFF, A.; RYCHLÝ, P.; SMRŽ, P.; TUGWELL, D. The Sketch Engine. In Practical Lexicography: A Reader. Oxford: Oxford University Press, 2008. p. 297-306. ISBN: 978-0-19-929234-9. Detail

SMRŽ, P.; ŠILHAVÁ, J.; KLÉMA, J.; ŽELEZNÝ, F. Gene Expression Data Mining Guided by Genomic Background Knowledge. SOFSEM 2008: Theory and Practice of Computer Science. Nový Smokovec: Springer Verlag, 2008. p. 101-111. ISBN: 978-80-7097-697-5. Detail

VACURA, M.; SVÁTEK, V.; SMRŽ, P. A Pattern-based Framework for Representation of Uncertainty in Ontologies. Proceedings of the 11th International Conference on Text, Speech, and Dialogue. Berlin: Springer Verlag, 2008. p. 1-8. ISBN: 978-3-540-87390-7. Detail