Filip Jurčíček
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition
- Social Psychology
- Information Systems
- Computer Science Applications
- Co-authors
- Steve YoungBlaise ThomsonKai YuMilica GašićSimon KeizerFrançois MairesseOndřej DušekB. Thomson
- Topics
- Speech and dialogue systems (21 papers)Topic Modeling (14 papers)Natural Language Processing Techniques (13 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputer Science Applications
- Journals
- Language Resources and EvaluationComputer Speech & LanguageINRIA a CCSD electronic archive server
- Partner nations
- United KingdomCzechiaSouth Sudan
In The Last Decade
Filip Jurčíček
22 papers receiving 353 citations
Peers
Comparison fields: 5 of 28
- Artificial Intelligence 391
- Computer Vision and Pattern Recognition 51
- Social Psychology 22
- Information Systems 13
- Computer Science Applications 13
Countries citing papers authored by Filip Jurčíček
This map shows the geographic impact of Filip Jurčíček's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Filip Jurčíček with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filip Jurčíček more than expected).
Fields of papers citing papers by Filip Jurčíček
This network shows the impact of papers produced by Filip Jurčíček. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Filip Jurčíček. The network helps show where Filip Jurčíček may publish in the future.
Co-authorship network of co-authors of Filip Jurčíček
This figure shows the co-authorship network connecting the top 25 collaborators of Filip Jurčíček. A scholar is included among the top collaborators of Filip Jurčíček based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Filip Jurčíček. Filip Jurčíček is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | Vystadial 2016 – Czech data | 1 |
| 3 | 17 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | Free English and Czech telephone speech corpus shared under the CC-BY-SA 3.0 license | 9 |
| 7 | Robust multilingual statistical morphological generation models | 7 |
| 8 | Comparison of Bayesian Discriminative and Generative Models for Dialogue State Tracking | 16 |
| 9 | 37 | |
| 10 | 59 | |
| 11 | Gaussian Processes for Fast Policy Optimisation of POMDP-based Dialogue Managers | 38 |
| 12 | Phrase-Based Statistical Language Generation Using Graphical Models and Active Learning | 73 |
| 13 | Parameter estimation for agenda-based user simulation | 24 |
| 14 | 16 | |
| 15 | k-Nearest Neighbor Monte-Carlo Control Algorithm for POMDP-based Dialogue Systems | 1 |
| 16 | 11 | |
| 17 | 8 | |
| 18 | Czech-sign speech corpus for semantic based machine translation | 3 |
| 19 | 9 | |
| 20 | 2 |
About Filip Jurčíček
Filip Jurčíček is a scholar working on Artificial Intelligence, Computer Science Applications and Human-Computer Interaction, having authored 24 papers that have together received 404 indexed citations. Recurring topics across this work include Speech and dialogue systems (21 papers), Topic Modeling (14 papers) and Natural Language Processing Techniques (13 papers). The work is most often cited by research in Artificial Intelligence (391 citations), Computer Vision and Pattern Recognition (51 citations) and Computer Science Applications (13 citations). Filip Jurčíček has collaborated with scholars based in United Kingdom, Czechia and South Sudan. Frequent co-authors include Steve Young, Blaise Thomson, Kai Yu, Milica Gašić, Simon Keizer, François Mairesse, Ondřej Dušek, B. Thomson, Lukáš Žilka and Milomir Gašić. Their work appears in journals such as Language Resources and Evaluation, Computer Speech & Language and INRIA a CCSD electronic archive server.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.