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2020 – today
- 2022
[c32]Dusan Hetlerovic, Lubos Popelínský, Pavel Bradi, Carlos Soares, Fernando Freitas:
On Usefulness of Outlier Elimination in Classification Tasks: Extended Abstract. Meta-Knowledge Transfer @ ECML/PKDD 2022: 78-80- [c31]Dusan Hetlerovic, Lubos Popelínský, Pavel Brazdil
, Carlos Soares, Fernando Freitas:
On Usefulness of Outlier Elimination in Classification Tasks. IDA 2022: 143-156 - [c30]Jana Schwarzerova, Ales Kostoval, Adam Bajger, Lucia Jakubikova, Iro Pierides, Lubos Popelínský, Karel Sedlár, Wolfram Weckwerth:
A Revealed Imperfection in Concept Drift Correction in Metabolomics Modeling. ITIB 2022: 498-509 - 2021
- [c29]Jana Schwarzerova, Adam Bajger, Iro Pierdou, Lubos Popelínský, Karel Sedlár, Wolfram Weckwerth:
An Innovative Perspective on Metabolomics Data Analysis in Biomedical Research Using Concept Drift Detection. BIBM 2021: 3075-3082
2010 – 2019
- 2019
- [c28]Karel Vaculík, Lubos Popelínský:
A genetic algorithm for discriminative graph pattern mining. IDEAS 2019: 46:1-46:2 - 2018
- [c27]Karel Vaculík, Lubos Popelínský:
WalDis: Mining Discriminative Patterns within Dynamic Graphs. IDEAS 2018: 95-102 - [c26]Matej Gallo, Lubos Popelínský, Karel Vaculík:
To Text Summarization by Dynamic Graph Mining. ITAT 2018: 28-34 - 2017
- [c25]Jan Sedlák, Lubomír Popelínský:
Rapid automatic vehicle manufacturer recognition using Random forest. IDEAS 2017: 161-168 - 2016
- [c24]Jan Géryk, Lubos Popelínský, Jozef Triscík:
Visual Anomaly Detection in Educational Data. AIMSA 2016: 99-108 - [c23]Karel Vaculík, Lubos Popelínský:
DGRMiner: Anomaly Detection and Explanation in Dynamic Graphs. IDA 2016: 308-319 - 2015
- [c22]Leona Nezvalová, Lubos Popelínský, Luís Torgo, Karel Vaculík:
Class-Based Outlier Detection: Staying Zombies or Awaiting for Resurrection? IDA 2015: 193-204 - 2014
- [c21]Karel Vaculík, Leona Nezvalová, Lubos Popelínský:
Educational Data Mining for Analysis of Students' Solutions. AIMSA 2014: 150-161 - [c20]Jan Géryk, Lubomír Popelínský:
Visual Analytics for Increasing Efficiency of Higher Education Institutions. BIS (Workshops) 2014: 117-127 - [c19]Hana Bydzovská, Lubomír Popelínský:
Course Recommendation from Social Data. CSEDU (1) 2014: 268-275 - [c18]Karel Vaculík, Lubos Popelínský:
Graph Mining for Automatic Classification of Logical Proofs. CSEDU (1) 2014: 563-568 - [c17]Jan Geryk, Lubomír Popelínský:
Towards Academic Analytics by Means of Motion Charts. EC-TEL 2014: 486-489 - [c16]Jan Géryk, Lubomír Popelínský:
Analysis of Student Retention and Drop-out using Visual Analytics. EDM 2014: 331-332 - [c15]Karel Vaculík, Leona Nezvalová, Lubos Popelínský:
Graph Mining and Outlier Detection Meet Logic Proof Tutoring. EDM (Workshops) 2014 - [c14]Jaromír Navrátil, Lubos Popelínský:
Rapid prototyping of a web categorization tool. IDEAS 2014: 294-297 - [c13]Hana Bydzovská, Lubomír Popelínský:
The influence of social data on student success prediction. IDEAS 2014: 374-375 - 2013
- [c12]Hana Bydzovská, Lubomír Popelínský:
Predicting Student Performance in Higher Education. DEXA Workshops 2013: 141-145 - 2012
- [c11]Tomas Obsivac, Lubos Popelínský, Jaroslav Bayer, Jan Geryk, Hana Bydzovská:
Predicting drop-out from social behaviour of students. EDM 2012: 103-109
2000 – 2009
- 2007
- [j2]Jan Blatak, Lubos Popelínský:
dRAP-Independent: A Data Distribution Algorithm for Mining First-Order Frequent Patterns. Comput. Informatics 26(3): 345-366 (2007) - 2004
- [j1]Lukás Svoboda, Lubos Popelínský:
Communication with www in Czech. Kybernetika 40(3): 349-363 (2004) - [c10]Jan Blatak, Eva Mráková, Lubos Popelínský:
Fragments and Text Categorization. ACL (Poster and Demonstration) 2004 - 2002
- [c9]Lubos Popelínský:
Efficient Relational Learning from Sparse Data. AIMSA 2002: 11-20 - [c8]Jan Blatak, Lubos Popelínský, Miloslav Nepil:
RAP: Framework for Mining Frequent Datalog Patterns. KDID 2002: 99-100 - 2000
- [c7]Eva Zácková, Lubos Popelínský, Miloslav Nepil:
Recognition and Tagging of Compound Verb Groups in Czech. CoNLL/LLL 2000: 219-225 - [c6]Eva Zácková, Lubos Popelínský, Miloslav Nepil:
Automatic Tagging of Compound Verb Groups in Czech Corpora. TSD 2000: 115-120
1990 – 1999
- 1999
- [c5]Lubos Popelínský, Tomás Pavelek:
Mining Lemma Disambiguation Rules from Czech Corpora. PKDD 1999: 498-503 - 1998
- [c4]Lubos Popelínský:
Knowledge Discovery in Spatial Data by Means of ILP. PKDD 1998: 185-193 - 1994
- [c3]Pierre Flener, Lubos Popelínský:
On the Use of Inductive Reasoning in Program Synthesis: Prejudice and Prospects. LOPSTR 1994: 69-87 - [c2]Lubos Popelínský:
Towards Program Synthesis From A Samll Example Set. WLP 1994: 169-172 - 1991
- [c1]Lubos Popelínský:
Towards Synthesis of Nearly Pure Prolog Programs (Extende Abstract). LOPSTR 1991: 94-96
Coauthor Index
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