Bibliography 2019

• VACULÍK, Karel a Lubomír POPELÍNSKÝ. A genetic algorithm for discriminative graph pattern mining. In Bipin C. Desai et al (eds.) Proceedings of the 23rd International Database Applications & Engineering Symposium, IDEAS 2019, Athens, Greece. New York: ACM, 2019. s. 461-462. ISBN 978-1-4503-6249-8. doi:10.1145/3331076.3331113.

• HETLEROVIĆ, Dušan a Lubomír POPELÍNSKÝ. Filtering outliers to improve classification. First results. In Peter Butka, František Babič, Ján Paralič. Data a Znalosti & WIKT 2019. Košice: Fakulta elektrotechniky a informatiky - Technická univerzita v Košiciach, 2019. s. 124-128. ISBN 978-80-553-3354-0.

Bibliography 2018

• VACULÍK, Karel a Lubomír POPELÍNSKÝ. WalDis: Mining Discriminative Patterns within Dynamic Graphs. Proceedings of the 22nd International Database Engineering & Applications Symposium IDEAS NY, USA: ACM New York, 2018. s. 95-102

• GALLO, Matej, Lubomír POPELÍNSKÝ a Karel VACULÍK. To text summarization by dynamic graph mining. In S. Krajči. ITAT 2018 Proceedings,. Košice: Safarik University, Faculty of Science, Kosice, Slovakia, 2018. s. 28-34, 7 s. ISBN 978-1-72726-719-8. CEUR.

• MIKLÁŠOVÁ, Kristína, Ondřej LOMIČ, Lukáš CÍSAR, Lubomír POPELÍNSKÝ a Veronika KREJČÍŘOVÁ. Autoencoders vs. others for anomaly detection. In Jaroslav Zendulka, Mária Bieliková, Radek Burget, Zbyněk Křivka. DATA A ZNALOSTI & WIKT 2018, sborník konference. Brno: Vysoké učení technické v Brně, 2018. s. 215-220, 6 s. ISBN 978-80-214-5679-2.

• PETLIAK, Nataliia, Oleksandra TMENOVA, Matúš NÁMEŠNÝ, Tomáš BONČO a Lubomír POPELÍNSKÝ. Performing Feature Selection Before Removing Outliers To Increase Classfier's Accuracy. In Jaroslav Zendulka, Mária Bieliková, Radek Burget, Zbyněk Křivka. DATA A ZNALOSTI & WIKT 2018, sborník konference. Brno: VUT Brno, 2018. s. 77-82. ISBN 978-80-214-5679-2.

Bibliography 2017

• ANTLOVÁ, Klára, Petra RYDVALOVÁ a Lubomír POPELÍNSKÝ. Knowledge-based System for Assessing Vitality of Family Businesses in the Czech Republic. In Aleš Kocourek. Proceedings of 13th Liberec Economic Forum. Liberec: Technical University of Liberec, 2017. s. 181-187.

• SEDLÁK, Jan a Lubomír POPELÍNSKÝ. Rapid automatic vehicle manufacturer recognition using Random forest. In Bipin C. Desai and Jun Hong and Richard McClatchey. Proceedings of the 21st International Database Engineering Applications Symposium, IDEAS. Bristol: ACM, 2017. s. 161-168.

• VACULÍK, Karel a Lubomír POPELÍNSKÝ. WalDis: Mining Discriminative Patterns within Dynamic Graphs. In MEMICS 2017. 12th Doctoral Workshop on Mathematical and Engineering Methods in Computer Science. 2017.

Bibliography 2016

• Karel Vaculík and Luboš Popelínský. DGRMiner: Anomaly Detection and Explanation in Dynamic Graphs, In Proc. of 15th Intl. Symposium on Intelligent Data Analysis (IDA 2016), LNCS 9897, 2016.

• GÉRYK, Jan, Lubomír POPELÍNSKÝ a Jozef TRIŠČÍK. Visual Anomaly Detection in Educational Data. In C. Dichev, G. Agre. Proceedings of 17th International Conference, AIMSA 2016, Varna, Bulgaria, LNAI 9683, s. 99-108, Springier 2016.

• MICHÁLIK, Juraj, Lubomír POPELÍNSKÝ, Klára ANTLOVÁ a Petra RYDVALOVÁ. Strojové učení pro analýzu rodinného podnikání. In M. Bieliková, I. Srba. Proceedings in Informatics and IT: WIKT & DaZ. Bratislava: Nakladatel’stvo STU, 2016. s. 81-84.

Bibliography 2015

• NEZVALOVÁ, Leona, Lubomír POPELÍNSKÝ, Luis TORGO a Karel VACULÍK. Class-Based Outlier Detection: Staying Zombies or Awaiting for Resurrection? In Elisa Fromont, Tijl De Bie, Matthijs van Leeuwen. Advances in Intelligent Data Analysis XIV - 14th International Symposium, IDA 2015. Neuveden: Springer, 2015. s. 193-204.

• Jan GÉRYK, Lubomír POPELÍNSKÝ. Visual data mining. Data a Znalosti 2015. Invited talk.

• MRÁKOVÁ, Eva a Lubomír POPELÍNSKÝ. Sbírka řešených úloh z logiky pro informatiky. Vydání první. Brno: Masarykova univerzita, 2015. 82 s. ISBN 978-80-210-7843-7.

Bibliography 2014

• GÉRYK, Jan a Lubomír POPELÍNSKÝ. Towards Academic Analytics by Means of Motion Charts. In Christoph Rensing, Sara de Freitas, Tobias Ley, Pedro J. Muñoz-Merino (Eds.). Proceedings of the 9th European Conference on Technology Enhanced Learning (EC-TEL 2014). Graz, Austria: Springer International Publishing, 2014. s. 486-489, 4 s. ISBN 978-3-319-11199-5. doi:10.1007/978-3-319-11200-8.

• VACULÍK, Karel, Leona NEZVALOVÁ a Lubomír POPELÍNSKÝ. Educational data mining for analysis of students’ solutions. In Vojtěch Svátek, Ondřej Zamazal. Znalosti 2014. 1. vydání. Praha: Vysoká škola ekonomická v Praze, 2014. s. 32-35, 4 s. ISBN 978-80-245-2054-4.

• JURČO, Juraj, Lubomír POPELÍNSKÝ a Karel KŘEHLÍK. Emission prediction of a thermal power plant. In Vojtěch Svátek, Ondřej Zamazal. Znalosti 2014. 1. vydání. Praha: Vysoká škola ekonomická v Praze, 2014. s. 98-103, 4 s. ISBN 978-80-245-2054-4.

• VACULÍK, Karel, Leona NEZVALOVÁ a Lubomír POPELÍNSKÝ. Educational data mining for analysis of students’ solutions. In Gennady Agre, Pascal Hitzler, Adila A. Krisnadhi, Sergei O. Kuznetsov. Artificial Intelligence: Methodology, Systems, and Applications - 16th International Conference, AIMSA 2014. London: Springer, 2014. s. 150-161, 12 s. ISBN 978-3-319-10554-3.

• GÉRYK, Jan a Lubomír POPELÍNSKÝ. Visual Analytics for Increasing Efficiency of Higher Education Institutions. In Witold Abramowicz, Angelika Kokkinaki (Eds.). BIS 2014 International Workshops. Switzerland: Springer International Publishing Switzerland, 2014. s. 53-63, 11 s. ISBN 978-3-319-11459-0. doi:10.1007/978-3-319-11460-6_11.

• BYDŽOVSKÁ, Hana a Lubomír POPELÍNSKÝ. Course Recommendation from Social Data. In Susan Zvacek, Maria Teresa Restivo, James Uhomoibhi and Markus Helfert. 6th International Conference on Computer Supported Education - CSEDU 2014. Portugal: 2014 SCITEPRESS – Science and Technology Publications, 2014. s. 268-275, 8 s. ISBN 978-989-758-020-8.

• VACULÍK, Karel a Lubomír POPELÍNSKÝ. Graph Mining for Automatic Classification of Logical Proofs. In Susan Zvacek, Maria Teresa Restivo, James Uhomoibhi and Markus Helfert. 6th International Conference on Computer Supported Education - CSEDU 2014. Portugal: 2014 SCITEPRESS – Science and Technology Publications, 2014.

• VACULÍK, Karel, NEZVALOVÁ, Leona a Lubomír POPELÍNSKÝ. Graph Mining and Outlier Detection Meet Logic Proof Tutoring. Proc. of EDM 2014 Ws Graph-based Educational Data Mining (G-EDM) (eds. Collin F. Lynch, Tiffany Barnes)

• GÉRYK, Jan a Lubomír POPELÍNSKÝ. Analysis of Student Retention and Drop-out using Visual Analytics. In John Stamper, Zachary Pardos, Manolis Mavrikis, and Bruce M. McLaren (Eds.). Proceedings of the 7th International Conference on Educational Data Mining (EDM 2014). London, United Kingdom: International Educational Data Mining Society, 2014. s. 331-332, 2 s. ISBN 978-0-9839525-4-1.

• BYDŽOVSKÁ, Hana a Lubomír POPELÍNSKÝ. The Influence of Social Data on Student Success Prediction. In Ana Almeida, Jorge Bernardino, Elsa Ferreira Gomes. Proceedings of the 18th International Database Engineering & Applications Symposium - IDEAS 2014. Portugal: BytePress, 2014. s. 374-375, 2 s. ISBN 978-1-4503-2627-8.

• NAVRÁTIL, Jaromír a Lubomír POPELÍNSKÝ. Rapid prototyping of a web categorization tool. In IDEAS '14 Proceedings of the 18th International Database Engineering & Applications Symposium. NY, USA: ACM New York, 2014. s. 294-297, 411 s. ISBN 978-1-4503-2627-8. doi:10.1145/2628194.2628216.

• BYDŽOVSKÁ, Hana a Lubomír POPELÍNSKÝ. Weak Student Identification: How Technology Can Help. In Proceedings of the 13th European Conference on e-Learning - ECEL 2014. 2014.

Bibliography 2013

• VACULÍK, Karel, Lubomír POPELÍNSKÝ, Eva MRÁKOVÁ a Juraj JURČO. Tutoring and Automatic Evaluation of Logic Proofs. In Mélanie Ciussi, Marc Augier. Proceedings of the 12th European Conference on e-Learning ECEL 2013. Sophia Antipolis, France: Academic Conferences and Publishing International, 2013. s. 495-502, 677 s. ISB N 978-1-909507-84-5.

• GÉRYK, Jan. Visual Analytics by Animations in Higher Education. In Mélanie Ciussi, Marc Augier. Proceedings of the 12th European Conference on e-Learning ECEL 2013. Sophia Antipolis, France: Academic Conferences and Publishing International , 2013. s. 565-572, 8 s. ISBN 978-1-909507-84-5.

• VACULÍK, Karel a Lubomír POPELÍNSKÝ. Graph Mining for Automatic Classification of Logical Proofs. In Jaroslav Pokorný, Petr Šaloun, Tomáš Horváth, Ján Paralič. Datakon a Znalosti 2013. 1. vydání. Ostrava: Vysoká škola báňská - Technická univerzita Ostrava, 2013. s. 133-138, 360 s. ISBN 978-80-248-3189-3.

• BYDŽOVSKÁ, Hana a Lubomír POPELÍNSKÝ. Predicting Student Performance in Higher Education. In Franck Morvan, A Min Tjoa, Roland R. Wagner. 24th International Workshop on Database and Expert Systems Applications - Dexa 2013. Neuveden: IEEE Computer Society, 2013. s. 141-145, 5 s. ISBN 978-0-7695-5070-1.

Bibliography 2012

• POPELÍNSKÝ, Lubomír a Eva MRÁKOVÁ a Juraj JURČO. Educational Data Mining and Teaching Logic. In Stanislav Krajči. Znalosti 2012 : Proceedings of the 11th annual conference. 1. vyd. Košice: Matfyzpress, 2012. pp. 165-168, ISBN 978-80-7378-220-7.

• BAYER, Jaroslav a Hana BYDŽOVSKÁ a Jan GÉRYK a Tomáš OBŠÍVAČ a Lubomír POPELÍNSKÝ. Predicting drop-out from social behaviour of students. In Proceedings of 5th EDM, Crete 2012, pp. 103-109, ISBN 978-1-74210-276-4.

• ANTLOVÁ, Klára a Andrej HERICH a Lubomír POPELÍNSKÝ. Text Mining in Reports from Student Stays in the Czech Enterprises. In 18th IBIMA Conference on Innovation and Sustainable Economic Competitive Advantage: From Regional Development to World Economies. Istanbul: IBIMA Publishing, 2012. 6 s. ISBN 978-0-9821489-7-6.

Bibliography 2011

• BAYER, Jaroslav a Hana BYDŽOVSKÁ a Jan GÉRYK a Tomáš OBŠÍVAČ a Lubomír POPELÍNSKÝ. Improving the Classification of Study-related Data through Social Network Analysis. In Z. Kotásek, J. Bouda, I. Černá, L. Sekanina, T. Vojnar, D. Antoš. Memics 2011 - Seventh Doctoral Workshop on Mathematical and Engeneering Methods in Computer Science. first. Brno: Brno University of Technology, 2011. od s. 3-10, 8 s. ISBN 978-80-214-4305-1.

• BAYER, Jaroslav a Hana BYDŽOVSKÁ a Jan GÉRYK a Lubomír POPELÍNSKÝ. Excalibur - nástroj pro data mining z výukových dat. In J. Zendulka, M. Rychlý. Proceedings of the Annual Database Conference - Datakon 2011. 1. vydání. Praha: Vysoké učení technické v Brně, 2011. od s. 227-228, 2 s. ISBN 978-80-214-4329-7.

• ANTLOVÁ, Klára a Lubomír POPELÍNSKÝ a Jindřich TANDLER. Long Term Growth of SME from ICT Competencies and Web Presentations. E + M Ekonomie a management, 2011, 4, od s. 125-138, 14 s. ISSN 1212-3609. 2011.

• Géryk, Jan - Bayer, Jaroslav - Popelínský, Lubomír. Vyhledávání a analýza popisujících výjezdy hasiżského záchranného sboru. In Sborník konference Znalosti 2011.VSB-TU Ostrava. Stará Lesná, SR 2011. od s. 21-32, 10 s. ISBN 978-80-248-2369-0.

• POPELÍNSKÝ, Lubomír a Eva MRÁKOVÁ. Výuka logiky na Fakultě informatiky MU Brno. Současnost a perspektivy. In Ludmila Dostálová. Sborník příspěvků ze semináře o výuce logiky Organon VII. aneb Nihil novi. Plzeň: Katedra filosofofie FF ZČU, 2011. od s. 59-68, 10 s. ISBN 978-80-261-0035-5.

• POPELÍNSKÝ, Lubomír a Eva MRÁKOVÁ a Marek STEHLÍK. Teaching Computational Logic: Technology-enhanced Learning and Animations. In Third International Congress on Tools for Teaching Logic, 1-4 June 2011, Salamanca. 2011.

Bibliography 2010

• Petr Glos, Lubos Popelinsky: Facility management and mining spatio-temporal data. Sbornik konference Znalosti 2010, ISBN 978-80-227-3015-0. J. Hradec 2009.

• Mráková, Eva - Popelínský, Lubomír. E-learning a výpożtová logika. In Sborník pżíspżvkż z konference a soutżże eLearning 2010. 1. vyd. Hradec Králové : Gaudeamus UHK, 2010. 6 s. ISBN 978-80-7435-067-2.

• Glos, Petr - Popelinsky Lubos. Visual Analytics for Building Management. In GeoVA(t) Workshop, Agile 2010 Conference, Guimaraes. 2010

• Kosina, Petr - Gama, Joao - Sebastiao, Raquel. Drift Severity Metric. In ECAI 2010. Amsterdam (Netherlands) : IOS PRESS, 2010. od s. 1119-1120. ISBN 978-1-60750-605-8.

• Gama, Joao - Kosina, Petr. Recurring Concepts and Meta-learning. Lisbon, 2010. od s. 79-85, 7 s. In Proceedings of Planning to Learn Workshop (PlanLearn) in conjunction with the 19th European Conference on Artificial Intelligence - ECAI 2010 in Lisbon, Portugal, August 16 - 20, 2010.

• Kosina, Petr - Gama, Joao - Sebastiao, Raquel. Speed and Size Characteristic of Concept Drift. Lisbon, 2010. od s. 19-23, 5 s. In Proceedings of Ubiquitous Data Mining (UDM) Workshop in conjunction with the 19th European Conference on Artificial Intelligence - ECAI 2010 in Lisbon, Portugal, August 16 - 20, 2010.

• Mrakova, Eva - Popelinsky, Lubos. Výuka logiky na FI MU, soucasnost a perspektivy. Organon Olomouc 2010

• Geryk, Jan - Bayer, Jaroslav - Popelinsky, Lubos. Dolovani v textech popisujicich vyjezdy hasicskeho zachranneho sboru. In Proceedings of the Annual Database Conference - Datakon 2010. Mikulov 2010. od s. 191-194, 4 s. ISBN 978-80-7368-424-2.

• Jaroslav Bayer, Matej Cuhel, Jan Geryk, Tomas Obsivac, Lubos Popelinsky. Towards Text Mining in Technology-Enhanced Learning. In Proceedings of the 9th European Conference on e-Learning ECEL 2010. Porto : Academic Publishing Limited, 2010. 4 s. ISBN 978-1-906638-83-2.

• Popelinsky, Lubos - Glos, Petr. Towards Detection of Anomalies in Building Management Data. In 15th IBIMA conference on Knowledge Management and Innovation: A Business Competitive Edge Perspective. Cairo : IBIMA Publishing, 2010. od s. 664-669, 6 s. ISBN 978-0-9821489-4-5.

Bibliography 2009

• Martin Vecera: Multirelational Knowledge Discovery in Spatio-temporal Data for Crisis Management. Report to PhD Thesis FI MU Brno.

• Lubos Popelinsky: Filtering Information from Reports on Flood. Joint Symposium of ICA Working Group on Cartography in Early Warning and Crises Management (CEWaCM) and JBGIS Geo-information for Disaster Management (Gi4DM), Praha 2009

• Jan Blatak: Efficient Mining First-Order Frequent Patterns. PhD. thesis FI MU

• Popelinsky - Lubos. Geographic data mining with GRR. In Proceedings of IADIS European Conference on Data Mining 2009. Portugalsko : IADIS, International Association for Development of the Information Society, 2009. 4 s. ISBN 978-972-8924-82-9.

• Lubos Popelinsky, Jiri Materna: On key words and key patterns in Shakespeare's plays. In Pavol Navrat, Daniela Chuda (eds.): Proceedings of the 8th annual conference Znalosti 2009, pp. 167-176. Brno 2009. ISBN 978-80-227-3015-0

• Gama, Joao - Kosina, Petr. Tracking Recurring Concepts with Meta-learners. In Proceedings of the 14th Portuguese Conference on Artificial Intelligence A 2009). Volume 5816/2009. Berlin : Springer Berlin / Heidelberg, 2009. od s. 423-434, 12 s. ISBN 978-3-642-04685-8.

• Antlova, Klara - Gregorovic, Tomas - Tandler, Jindrich - Popelinsky, Lubos. Web and ICT Competencies in different types of SME. In Proceedings of Conference on ENTERprise Information Systems CENTERIS 2009. . 7 s. ISBN 978-972-669-929-3.

• Kedaj, Zdenek - Popelinsky, Lubos - Novakova, Lenka. Visual Analytics for Educational Data Analysis. In The Proceedings of the 8th European Conference on e-Learning ECEL 2009. Bari : Academic Conferences Ltd., 2009. 8 s. ISBN 978-1-906638-52-8.

Bibliography 2008

• Martin Vecera, Lubos Popelínský: Reational Data Mining in Crisis Management. In Filip Zelezný and Nada Lavrac (Eds.): Late Breaking Papers, Inductive Logic Programming, 18th International Conference, pp. 117-122,FEL CVUT Praha 2008. ISBN 978-80-86742-26-7

• Daniel Vodak, Lubos Popelinsky: Jak mravenci kolonie dobyvaji znalosti (How ant colonies mine data). Vaclav Snasel (ed.): Proceedings of the 7th annual conference Znalosti 2008, pp.291-302. Bratislava 2008. ISBN 978-80-227-2827-0

• Petr Kott, Lubos Popelinsky : Automaticka klasifikace transformovanych vet. Petr Sojka, Michal Bulant (eds.): Sbornik konference SCO 2008, Brno 2008.

• Maria Briatkova, Zdenek Kedaj, Lubos Popelinsky : DZEMUj - dobyvani znalosti z odpovedniku IS MU. Petr Sojka, Michal Bulant (eds.): Sbornik konference SCO 2008, Brno 2008.

• Lubos Popelinsky, Jan Vanace: E-learningove nastroje v IS MU a vyuuka logiky. Seminar Organon VI. Dub nad Moravou 2008.

• Maria Briatkova, Zdenek Kedaj, Lubos Popelinsky: Vizualizace a analyza vysledku elektronickych testu. Seminar Organon VI. Dub nad Moravou 2008.

• Lubos Popelinsky, Maria Briatkova, Zdenek Kedaj: DZEMUj: A Tool for Mining in e-Learning Tests. Description and Experience. Proceedings of the 7th European Conference on eLearning ECEL 2008, pp. 299-303. Cyprus 2008. ISBN 978-1-906638-23-8

• Klara Antlova, Lubos Popelinsky: Predicting Information System Competencies in Small and Medium Enterprises with Data Mining Methods. Proceedings of IASK Intl. Conference E-Activity and Leading Technologies 2009, Madrid 2009. ISBN 978-989-95806-3-3

Bibliography 2007

• VEČEŘA, Martin a 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. od s. 475-486, 12 s. ISBN 978-989-95618-0-9.

• Luboš Popelínský: Dynamická geovizualizace v krizovém managementu. Konference Znalosti 2007, Ostrava

• Petra Turková, Martin Večeřa, Luboš Popelínský: Dolování v datech a e-learning: Případová studie. SCO, 4. ročník konference o podpoře výuky, MU Brno

• Jan Blaťak, Luboš Popelínský: dRAP-Independent: A Data Distribution Algorithm for Mining First-Order Frequent Patterns. Computing and Informatics. Vol. 26, no. 3 (2007), p. 345-366.

• Luboš Popelínský, Jiří Materna: Keyness and relational learning. Keyness in Text, Certosa di Pontignano, Siena

Bibliography 2006

• Luboš Popelínský, Jan Blaťák: Mining situations and actions from news. In Proceedings of Znalosti'06, Hradec Králové 2006

• Jan Blaťák, Luboš Popelínský, Peter Krutý: Dolování v geografických textech. In Proceedings of "Geoinformatika ve státní správě", Brno 2006

• Jan Blaťák, Luboš Popelínský: dRAP: A Framework for Distributed Mining Firts-Order Frequent Patterns. Accepted for presentation in Computing and Informatics Journal.

• Jan Blaťák, Petra Turková, Jindřich Březina: Preprocessing and Visualization Tools for Inductive Logic Programming. In Proceedings of ILP'06, Santiago de Compostela, 2006

• Luboš Popelínský, Jan Blaťák: A contribution to learning in temporal logics. In Proceedings of ILP'06, Santiago de Compostela, 2006

• Luboš Popelínský: Geographic Data Mining (invited talk). In Proceedings of 2nd International Summer School on Computational Biology, Brno, 2006

• Luboš Popelínský, Jan Blaťák: Mining actions from reports on flood. In Proceedings of IS-LTC 2006, Ljubljana 2006.

Bibliography 2005

• L. Popelínský, T. Buk, P. Kuba: GRR: data mining in geographic information systems. In Proceedings of ISIM'05, pp. 279-286, Hradec nad Moravicí, MARQ 2005. .

• L. Popelínský, J. Blat'ák: Learning genic interactions without expert domain knowledge: Comparison of different ILP algorithms. In Proceedings of ICML05 workshop on Learning Language in Logic (LLL05), Bonn 2005

• L. Popelínský, J. Blat'ák: Toward mining of spatiotemporal maximal frequent patterns. In Proceedings of ECML/PKDD Workshop on Mining Spatio-Temporal Data (MSTD), Porto 2005.

Bibliography 2004

• Blat'ák J., Popelínský, L.: Mining first-order maximal frequent patterns. Neural Network World 5, 4, pp. 381-390

• Svoboda L., Popelínský, L.: Communication with WWW in Czech. Kybernetika Vol. 40, Num. 3, pp. 349-363

• Blat'ák J., Popelínský, L.: Fragments and Text Categorization. ACL 2004, Barcelona (poster)

• Kuba P., Popelínský L.: Mining Frequent Patterns in Object-Oriented Data 2nd Intl. Ws on Mining Graphs, Trees and Sequences, ECML/PKDD Pisa 2004

• Frieser J., Popelínský L.: DIODA : Secure Mining in Horizontally Partitioned Data. Ws on Privacy and Security Issues in Data Mining, ECML/PKDD Pisa 2004.

Bibliography 2003

• Štěpánková O., Popelínský, L.,: Induktivní logické programování (invited talk). In Sborník konference DATAKON 2003, pages 111- 130. Masarykova univerzita, 2003, ISBN 80-210-3215-4.

• Popelínský, L.: Strojové učení a přirozený jazyk (tutorial). In Sborník konference ZNALOSTI 2003, pages 18-19.

• Lascurain V., Agirre E., Popelínský L., Lersundi M.: Disambiguation of case suffixes in Basque. In Proceedings of TALN Workshop "Traitement automatique des langues minoritaires et des petites langues", pages 213-222. ATALA, 2003.

• Blat'ák J., Popelínský L.: Feature construction with RAP. In Proceedings of ILP 2003 Works in Progress, Szeged, Hungary, 2003.

• Buk T., Kuba P., Popelínský L.: GRR: System for knowledge discovery in geographical data. In Proceedings of GIS...Ostrava 2003, 11 pages, VSB-TUO, Ostrava, 2003.

Bibliography 2002

• Blat'ák J., Popelínský L., Nepil M.: Search for Maximal Frequent Datalog Queries. In Proc. of ECML/PKDD Workshop on Knowledge Discovery in Inductive Databases KDID'02 Helsinki 2002.

• Křivánková, L., Očko, M., Popelínský, L., Boček, P.: Fast choice of separation conditions for analyses by capillary zone electrophoresis using an information system Xemic. Electrophoresis 23, 19, pp. 3364-3371, Wiley-VCH Verlag GmbH, ISSN 0173-0835, 2002.

• Křivánková, L., Očko, M., Popelínský, L., Boček, P.: Quest of separation conditions for CZE analyses based on an information system including similarity search. ITP 2002, The 13th International Symposium on Capillary Electroseparation Techniques, Helsinki 1.-4. 9. 2002, p.42.

• Nepil M., Popelínský L.: Committee-Based Selective Sampling with Parameters Set by Meta-Learning In Proc. of ECML/PKDD Workshop on IDDM'02 Helsinki 2002.

• Popelínský L.: Efficient relational learning from sparse data. In Proceedings of AIMSA'02 Conference Varna 2002, LNCS 2443, Springer Verlag 2002.

• Vrba M., Jurášková V., Číhalová V., Popelínský L.: Refractive Errors in Descendent and Ascendent Generations of Rural Population. Czech and Slovak Ophtalmology, 58, 2002, No.4, pp.265-273

Bibliography 2001

• Popelinsky L., Hanak F.:
  Knowledge Discovery And Data Mining(in Czech).
  In Proceedings of DATAKON conference, Brno 2001 (invited paper)

• Nepil M., Popelinsky L., Zackova E.:
  Part-of-Speech Tagging by Means of Shallow Parsing, ILP and Active Learning
  In Proceedings of 3rd Workshop on Learning Language in Logic(LLL), Strasbourg, 2001.

• Popelínský L.:
  Combining the Principal Components Method with Different Learning Algorithms
  In Proc. of ECML/PKDD2001 IDDM Workshop (Integrating Aspects of Data Mining, Decision Support and Meta-Learning), Freiburg, 2001.

• Nepil M., Popelínský L.:
  Part-of-Speech Tagging by Means of ILP and Active Learning.
  In Proc. of ECML/PKDD2001 Ws on Active Learning, Database Sampling, Experimental Design, Freiburg 2001.

• Dobrovolny P., Kuba P., Popelinsky L.:
  On the use of machine learning algorithms in satelite multispectral images classification (in Czech).
  Sborník konference GIS... Ostrava 2001

• Popelínský, L., Dobrovolný, P., Kuba, P.:
  Using machine learning methods for classification of satellite images (in Czech).
  Sborník konference Znalosti 2001. Praha, 2001.

Bibliography 2000

• Popelínský L.:
  On practical inductive logic programming
  PhD. thesis, Czech Technical University, Prague, 2000

• Pavelek, T., Popelínský L., Ptacnik, T. :
  On Disambiguation in Czech Corpora.
  TR Faculty of Informatics MU, 2000

• Popelinsky L., Brazdil P.:
  Combining the Principal Components Method with Decision Tree Learning.
  MSL-2000 Workshop, Guimaraes 2000.

• Zackova E., Popelinsky L.,Nepil M.:
  Recognition and tagging of compound verb groups in Czech.
  Proc. of LLL-2000 conference.

• Zackova E., Popelinsky L., Nepil M.:
  Automatic tagging of compound verb groups in Czech corpora.
  Proc. of TSD-2000 workshop, LNAI 1902, pp 115-120, Springer Verlag.

• Popelinsky L., Brazdil P.:
  The Principal Components Method as a Pre-processing Stage for Decision Tree Learning.
  PKDD'2000 Ws on Metalearning Lyon 2000

• Franova M., Popelinsky L.:
  Synthesis of formal specifications of predicates: Why and How?
  Proc. of EMCSR'00 Wien

• Kuba P., Popelinsky L.:
  Automatická klasifikace prostorových dat.
  Sborník konference GIS... Ostrava 2000, ISSN 1211-4855

Bibliography 1999

• Popelínský L.
  Approaches to Spatial Data Mining
  In: Proceedings of GIS... Ostrava'99 Conference, ISSN 1211-4855, 1999

• Induktivní logické programování
  Technical Report Gerstner Laboratory GLC-30/99, CTU Prague 1999 (in Czech)

• Popelinsky L., Pavelek T., Ptacnik T.: Towards disambiguation in Czech corpora. Working notes of "Learning Language in Logic" ICML Workshop, Bled, Slovinsko 1999.

• Pavelek T., Popelinsky L.: Towards lemma disambiguation: Similarity classes In: Letní škola Informační systémy Ruprechtov 1999 (in Czech)

• Pavelek T., Popelinsky L.: Mining lemma disambiguation rules from Czech corpora. Proceedings of PKDD'99, LNCS 1704, pp.498-503, Springer Verlag

• Matochova H., Popelinsky L., Vrba M.:
  Changes in expresivity of ophtalmology diseases. Czech conference on medical genetics, Olomouc 1999(poster)

Bibliography 1998

• WiM: Applications
  Review of Esprit LTR 20237 Inductive Logic Programming II ILP^2, Grenoble, France

• TWiM, a tutoring system with ILP features
  In: ECML'98 Workshop Notes "Learning in Humans and Machines" D.Canamero, M. van Someren(Eds.), Chemnitz 1998

• Inductive inference to support object-oriented analysis and design
  In: Návrat P., Haruki U.(eds.): Knowledge-Based Software Engineering. (Proceedings of the Third Joint Conf. on Knowledge-Based Software Engineering in Smolenice, Slovakia 1998) Frontiers in Artificial Intelligence and Applications Vol. 48, IOS Press Amsterdam 1998. ISBN 90 5199 417 6

• Induktivní logické programování
  In: Letní škola Informační systémy (invited lecture), Ruprechtov 1998, ISBN 80-214-1205-4

• Knowledge Discovery in Spatial Data by Means of ILP
  In: Zytkow J.M., Quafafou M.(Eds.): Principles of Data Mining and Knowledge Discovery. Proc. of 2nd European Symposium PKDD'98, Nantes France 1998. LNCS 1510, Springer-Verlag 1998.

• Žižka J., Kratochvíl Z., Popelínský L.:
  Simple Speech Classification Using Automatically Generated Rules
  In: Proceedings of the First Workshop on Text, Speech, Dialogue - TSD'98, Brno, Czech Republic, September 23-26, 1998. ISBN 80-210-1899-2

• Botík R., Popelínský L.:
  Inteligentní vyhledávání na WWW
  In: Proceedings of 18th Conference DATASEM, Brno 1998, ISBN

Bibliography 1997 and 1994-96, and even older