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2020 – today
- 2023
[j12]Bojan Evkoski
, Petra Kralj Novak, Nikola Ljubesic:
Content-based comparison of communities in social networks: Ex-Yugoslavian reactions to the Russian invasion of Ukraine. Appl. Netw. Sci. 8(1): 40 (2023)- [j11]Bojan Evkoski, Petra Kralj Novak, Nikola Ljubesic:
Correction: Content-based comparison of communities in social networks: Ex-Yugoslavian reactions to the Russian invasion of Ukraine. Appl. Netw. Sci. 8(1): 47 (2023) - [j10]Nikola Ljubesic, Igor Mozetic, Petra Kralj Novak:
Quantifying the impact of context on the quality of manual hate speech annotation. Nat. Lang. Eng. 29(6): 1481-1494 (2023) - [c12]Andraz Pelicon, Syrielle Montariol, Petra Kralj Novak:
Don't Start Your Data Labeling from Scratch: OpSaLa - Optimized Data Sampling Before Labeling. IDA 2023: 353-365 - [e7]Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13713, Springer 2023, ISBN 978-3-031-26386-6 [contents] - [e6]Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13714, Springer 2023, ISBN 978-3-031-26389-7 [contents] - [e5]Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13715, Springer 2023, ISBN 978-3-031-26408-5 [contents] - [e4]Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part IV. Lecture Notes in Computer Science 13716, Springer 2023, ISBN 978-3-031-26411-5 [contents] - [e3]Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part V. Lecture Notes in Computer Science 13717, Springer 2023, ISBN 978-3-031-26418-4 [contents] - [e2]Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part VI. Lecture Notes in Computer Science 13718, Springer 2023, ISBN 978-3-031-26421-4 [contents] - 2022
- [c11]Petra Kralj Novak, Teresa Scantamburlo, Andraz Pelicon, Matteo Cinelli, Igor Mozetic, Fabiana Zollo:
Handling Disagreement in Hate Speech Modelling. IPMU (2) 2022: 681-695 - 2021
- [j9]Bojan Evkoski, Nikola Ljubesic, Andraz Pelicon, Igor Mozetic, Petra Kralj Novak:
Evolution of topics and hate speech in retweet network communities. Appl. Netw. Sci. 6(1): 96 (2021) - [i11]Bojan Evkoski, Igor Mozetic, Nikola Ljubesic, Petra Kralj Novak:
Community evolution in retweet networks. CoRR abs/2105.06214 (2021) - [i10]Matteo Cinelli, Andraz Pelicon, Igor Mozetic, Walter Quattrociocchi, Petra Kralj Novak, Fabiana Zollo:
Online Hate: Behavioural Dynamics and Relationship with Misinformation. CoRR abs/2105.14005 (2021) - [i9]Bojan Evkoski, Andraz Pelicon, Igor Mozetic, Nikola Ljubesic, Petra Kralj Novak:
Retweet communities reveal the main sources of hate speech. CoRR abs/2105.14898 (2021) - 2020
- [c10]Matej Martinc, Petra Kralj Novak, Senja Pollak:
Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift. LREC 2020: 4811-4819
2010 – 2019
- 2019
- [c9]Andraz Pelicon, Matej Martinc, Petra Kralj Novak:
Embeddia at SemEval-2019 Task 6: Detecting Hate with Neural Network and Transfer Learning Approaches. SemEval@NAACL-HLT 2019: 604-610 - [e1]Petra Kralj Novak, Tomislav Smuc, Saso Dzeroski:
Discovery Science - 22nd International Conference, DS 2019, Split, Croatia, October 28-30, 2019, Proceedings. Lecture Notes in Computer Science 11828, Springer 2019, ISBN 978-3-030-33777-3 [contents] - [i8]Matej Martinc, Petra Kralj Novak, Senja Pollak:
Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift. CoRR abs/1912.01072 (2019) - [i7]Matteo Cinelli, Mauro Conti, Livio Finos, Francesco Grisolia, Petra Kralj Novak, Antonio Peruzzi, Maurizio Tesconi, Fabiana Zollo, Walter Quattrociocchi:
(Mis)Information Operations: An Integrated Perspective. CoRR abs/1912.10795 (2019) - 2018
- [j8]Petra Kralj Novak, Luisa De Amicis, Igor Mozetic:
Impact investing market on Twitter: influential users and communities. Appl. Netw. Sci. 3(1): 40:1-40:20 (2018) - [j7]Borut Sluban, Mojca Mikac, Petra Kralj Novak, Stefano Battiston, Igor Mozetic:
Profiling the EU lobby organizations in Banking and Finance. Appl. Netw. Sci. 3(1): 44:1-44:19 (2018) - [i6]Igor Mozetic, Peter Gabrovsek, Petra Kralj Novak:
Forex trading and Twitter: Spam, bots, and reputation manipulation. CoRR abs/1804.02233 (2018) - 2017
- [c8]Petra Kralj Novak, Luisa De Amicis, Catherine Hughes, Igor Mozetic:
Exploring the Twitterland of the Impact Investing Market. COMPLEX NETWORKS 2017: 967-979 - [c7]Borut Sluban, Jasmina Smailovic, Petra Kralj Novak, Igor Mozetic, Stefano Battiston:
Mapping Organizations' Goals and Leanings in the Lobbyist Network in Banking and Finance. COMPLEX NETWORKS 2017: 1149-1161 - [r2]Petra Kralj Novak, Nada Lavrac, Geoffrey I. Webb:
Supervised Descriptive Rule Induction. Encyclopedia of Machine Learning and Data Mining 2017: 1210-1213 - 2015
- [i5]Fabiana Zollo, Petra Kralj Novak, Michela Del Vicario, Alessandro Bessi, Igor Mozetic, Antonio Scala, Guido Caldarelli, Walter Quattrociocchi:
Emotional Dynamics in the Age of Misinformation. CoRR abs/1505.08001 (2015) - [i4]Petra Kralj Novak, Miha Grcar, Borut Sluban, Igor Mozetic:
Analysis of Financial News with NewsStream, Technical Report IJS-DP-11965. CoRR abs/1508.00027 (2015) - [i3]Petra Kralj Novak, Jasmina Smailovic, Borut Sluban, Igor Mozetic:
Sentiment of Emojis. CoRR abs/1509.07761 (2015) - 2014
- [j6]Dany Morisset, Petra Kralj Novak, Darko Zupanic, Kristina Gruden, Nada Lavrac, Jana Zel:
GMOseek: a user friendly tool for optimized GMO testing. BMC Bioinform. 15: 258 (2014) - [i2]Matija Piskorec, Nino Antulov-Fantulin, Petra Kralj Novak, Igor Mozetic, Miha Grcar, Irena Vodenska, Tomislav Smuc:
News Cohesiveness: an Indicator of Systemic Risk in Financial Markets. CoRR abs/1402.3483 (2014) - [i1]Marko Popovic, Hrvoje Stefancic, Borut Sluban, Petra Kralj Novak, Miha Grcar, Igor Mozetic, Michelangelo Puliga, Vinko Zlatic:
Extraction of Temporal Networks from Term Co-occurrences in Online Textual Sources. CoRR abs/1406.5323 (2014) - 2013
- [j5]Nada Lavrac, Petra Kralj Novak:
Relational and Semantic Data Mining for Biomedical Research. Informatica (Slovenia) 37(1): 35-39 (2013) - [c6]Anze Vavpetic, Petra Kralj Novak, Miha Grcar, Igor Mozetic, Nada Lavrac:
Semantic Data Mining of Financial News Articles. Discovery Science 2013: 294-307 - 2012
- [p1]Igor Mozetic, Nada Lavrac, Vid Podpecan, Petra Kralj Novak, Helena Motaln, Marko Petek, Kristina Gruden, Hannu Toivonen, Kimmo Kulovesi:
Semantic Subgroup Discovery and Cross-Context Linking for Microarray Data Analysis. Bisociative Knowledge Discovery 2012: 379-389 - 2011
- [j4]Vid Podpecan, Nada Lavrac, Igor Mozetic, Petra Kralj Novak, Igor Trajkovski, Laura Langohr, Kimmo Kulovesi, Hannu Toivonen, Marko Petek, Helena Motaln, Kristina Gruden:
SegMine workflows for semantic microarray data analysis in Orange4WS. BMC Bioinform. 12: 416 (2011) - [c5]Nada Lavrac, Anze Vavpetic, Larisa N. Soldatova, Igor Trajkovski, Petra Kralj Novak:
Using Ontologies in Semantic Data Mining with SEGS and g-SEGS. Discovery Science 2011: 165-178 - 2010
- [c4]Igor Mozetic, Nada Lavrac, Vid Podpecan, Petra Kralj Novak, Helena Motaln, Marko Petek, Kristina Gruden, Hannu Toivonen, Kimmo Kulovesi:
Bisociative Knowledge Discovery for Microarray Data Analysis. ICCC 2010: 190-199 - [r1]Petra Kralj Novak, Nada Lavrac, Geoffrey I. Webb:
Supervised Descriptive Rule Induction. Encyclopedia of Machine Learning 2010: 938-941
2000 – 2009
- 2009
- [j3]Petra Kralj Novak, Nada Lavrac, Dragan Gamberger, Antonija Krstacic:
CSM-SD: Methodology for contrast set mining through subgroup discovery. J. Biomed. Informatics 42(1): 113-122 (2009) - [j2]Petra Kralj Novak, Nada Lavrac, Geoffrey I. Webb:
Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining. J. Mach. Learn. Res. 10: 377-403 (2009) - 2008
- [j1]Gemma C. Garriga, Petra Kralj, Nada Lavrac:
Closed Sets for Labeled Data. J. Mach. Learn. Res. 9: 559-580 (2008) - 2007
- [c3]Petra Kralj, Nada Lavrac, Dragan Gamberger, Antonija Krstacic:
Contrast Set Mining for Distinguishing Between Similar Diseases. AIME 2007: 109-118 - [c2]Petra Kralj, Nada Lavrac, Dragan Gamberger, Antonija Krstacic:
Contrast Set Mining Through Subgroup Discovery Applied to Brain Ischaemina Data. PAKDD 2007: 579-586 - 2006
- [c1]Gemma C. Garriga, Petra Kralj, Nada Lavrac:
Closed Sets for Labeled Data. PKDD 2006: 163-174
Coauthor Index
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