2025

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  Daniel Witschard, Ilir Jusufi, Kostiantyn Kucher, and Andreas Kerren. Exploring similarity patterns in a large scientific corpus. PLOS ONE, vol. 20, no. 4, article e0321114, 2025. DOI: 10.1371/journal.pone.0321114.
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  Daniel Witschard, Ilir Jusufi, Kostiantyn Kucher, and Andreas Kerren. Visually guided extraction of prevalent topics. Information Visualization, vol. 24, no. 2, pp. 179–198, 2025. DOI: 10.1177/14738716241312400.
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  Daniel Witschard, Kostiantyn Kucher, Ilir Jusufi, and Andreas Kerren. Using similarity network analysis to improve text similarity calculations. Applied Network Science, vol. 10, article 8, 2025. DOI: 10.1007/s41109-025-00699-7.
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  Kostiantyn Kucher, Elmira Zohrevandi, and Carl Westin. Towards visual analytics for explainable AI in industrial applications. Analytics, vol. 4, no. 1, article 7, 2025. DOI: 10.3390/analytics4010007.
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  Yanqing Zhang, Leila Methnani, Emmanuel Brorsson, Elmira Zohrevandi, Andreas Darnell, and Kostiantyn Kucher. Designing explainable and counterfactual-based AI interfaces for operators in process industries. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP '25) — Volume 1: GRAPP, HUCAPP and IVAPP, IVAPP '25, short paper track, pp. 831–842. SciTePress, 2025. DOI: 10.5220/0013107700003912.
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  Takanori Fujiwara, Kostiantyn Kucher, Junpeng Wang, Rafael M. Martins, Andreas Kerren, and Anders Ynnerman. Adversarial attacks on machine learning-aided visualizations. Journal of Visualization, vol. 28, no. 1, pp. 133–151, 2025. DOI: 10.1007/s12650-024-01029-2.

2024

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  Tina-Simone Neset, Katerina Vrotsou, Lotta Andersson, Carlo Navarra, Fredrik Schück, Magnus Mateo Edström, Caroline Rydholm, Clara Greve Villaro, Kostiantyn Kucher, and Björn-Ola Linnér. Artificial intelligence in support of weather warnings and climate adaptation. Climate Risk Management, vol. 46, article 100673, 2024. DOI: 10.1016/j.crm.2024.100673.
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  Magnus Nylin, Jonas Lundberg, Magnus Bång, and Kostiantyn Kucher. Glyph design for communication initiation in real-time human-automation collaboration. Visual Informatics, vol. 8, no. 4, pp. 23–35, 2024. DOI: 10.1016/j.visinf.2024.09.006.
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  Mashrur Rashik, Mahmood Jasim, Kostiantyn Kucher, Ali Sarvghad, and Narges Mahyar. Beyond text and speech in conversational agents: Mapping the design space of avatars. In Proceedings of the ACM Designing Interactive Systems Conference, DIS '24, pp. 1875–1894. ACM, 2024. DOI: 10.1145/3643834.3661563.
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  Tina-Simone Neset, Lotta Andersson, Magnus Matteo Edström, Katerina Vrotsou, Clara Greve Vilaro, Carlo Navarra, Kostiantyn Kucher, Fredrik Schück, Caroline Rydholm, Jonas Unger, and Björn-Ola Linnér. AI för klimatanpassning: Hur kan nya digitala teknologier stödja klimatanpassning? CSPR Brief 2024:1. Linköping University Electronic Press, 2024. DOI: 10.3384/brief-203955.
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  Kostiantyn Kucher, Elin Akkurt, Johanna Folde, and Andreas Kerren. Visual analysis of humor assessment annotations for news headlines in the Humicroedit data set. In Proceedings of the Workshop on Visualization for Natural Language Processing, Vis4NLP '24. The Eurographics Association, 2024. DOI: 10.2312/vis4nlp20241134.
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  Jinyi Wang, Kostiantyn Kucher, and Andreas Kerren. Visual analysis of power plant data for European countries. In Poster Proceedings of the Eurographics Conference on Visualization, EuroVis '24. The Eurographics Association, 2024. DOI: 10.2312/evp20241095.
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  Zeyang Huang, Kostiantyn Kucher, and Andreas Kerren. Towards a visual analytics system for emotion trajectories in multiparty conversations. In Poster Proceedings of the Eurographics Conference on Visualization, EuroVis '24. he Eurographics Association, 2024. DOI: 10.2312/evp20241092.
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  Kostiantyn Kucher, Alexandra Diehl, and Christina Gillmann, editors. Poster Proceedings of the 26th Eurographics Conference on Visualization, EuroVis '24 Posters. The Eurographics Association, 2024. DOI: 10.2312/evp.20242007.
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  Maria Skeppstedt, Magnus Ahltorp, Kostiantyn Kucher, and Matts Lindström. From word clouds to Word Rain: Revisiting the classic word cloud to visualize climate change texts. Information Visualization, vol. 23, no. 3, pp. 217–238, 2024. DOI: 10.1177/14738716241236188.
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  Angelos Chatzimparmpas, Kostiantyn Kucher, and Andreas Kerren. Visualization for trust in machine learning revisited: The state of the field in 2023. IEEE Computer Graphics and Applications, vol. 44, no. 3, pp. 99–113, 2024. DOI: 10.1109/MCG.2024.3360881.
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  Kostiantyn Kucher, Nellie Engström, Wilma Axelsson, Berkant Savas, and Andreas Kerren. Visualization of Swedish news articles: A design study. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP '24) — Volume 1: GRAPP, HUCAPP and IVAPP, IVAPP '24, short paper track, pp. 670–677. SciTePress, 2024. DOI: 10.5220/0012398600003660.

2023

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  Elizaveta Kopacheva, Masoud Fatemi, and Kostiantyn Kucher. Using social-media-network ties for predicting intended protest participation in Russia. Online Social Networks and Media, vol. 37–38, article 100273, 2023. DOI: 10.1016/j.osnem.2023.100273.
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  Katerina Vrotsou, Carlo Navarra, Kostiantyn Kucher, Igor Fedorov, Fredrik Schück, Jonas Unger, and Tina-Simone Neset. Towards a volunteered geographic information-facilitated visual analytics pipeline to improve impact-based weather warning systems. Atmosphere, vol. 14, no. 7, article 1141, 2023. DOI: 10.3390/atmos14071141.
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  Zeyang Huang, Daniel Witschard, Kostiantyn Kucher, and Andreas Kerren. VA + Embeddings STAR: A state-of-the-art report on the use of embeddings in visual analytics. Computer Graphics Forum, vol. 42, no. 3, pp. 539–571, 2023. DOI: 10.1111/cgf.14859.
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  Daniel Witschard, Ilir Jusufi, Kostiantyn Kucher, and Andreas Kerren. Visually guided network reconstruction using multiple embeddings. In Proceedings of the IEEE Pacific Visualization Symposium, PacificVis '23, visualization notes track, pp. 212–216. IEEE, 2023. DOI: 10.1109/PacificVis56936.2023.00031.
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  Kostiantyn Kucher and Andreas Kerren. Supporting university research and administration via interactive visual exploration of bibliographic data. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP '23) — Volume 3: IVAPP, IVAPP '23, short paper track, pp. 248–255. SciTePress, 2023. DOI: 10.5220/0011806900003417.

2022

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  Barbara Plank, Jean-Daniel Fekete, José Angel Daza Arévalo, Kostiantyn Kucher, Maria Skeppstedt, Narges Mahyar, Nicole Sultanum, and Vasiliki Simaki. WG: Evaluation and experimental designs. In Visual Text Analytics (Dagstuhl Seminar 22191), volume 12, issue 5 of DagRep, pages 86–90. Schloss Dagstuhl — Leibniz-Zentrum für Informatik, 2022. DOI: 10.4230/DagRep.12.5.37.
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  Andreas Kerren, Antske Fokkens, Barbara Plank, Chris Weaver, Kostiantyn Kucher, Nicole Sultanum, Tatiana von Landesberger, and Yoav Goldberg. WG: Visual representations of text. In Visual Text Analytics (Dagstuhl Seminar 22191), volume 12, issue 5 of DagRep, pages 69–73. Schloss Dagstuhl — Leibniz-Zentrum für Informatik, 2022. DOI: 10.4230/DagRep.12.5.37.
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  Victoria Yantseva and Kostiantyn Kucher. Stance classification of social media texts for under-resourced scenarios in social sciences. Data, vol. 7, no. 11, 2022. DOI: 10.3390/data7110159.
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  Kostiantyn Kucher, Nicole Sultanum, Angel Daza, Vasiliki Simaki, Maria Skeppstedt, Barbara Plank, Jean-Daniel Fekete, and Narges Mahyar. An interdisciplinary perspective on evaluation and experimental design for visual text analytics: Position paper. In Proceedings of the IEEE Workshop on Evaluation and Beyond - Methodological Approaches to Visualization, BELIV '22. IEEE, 2022. DOI: BELIV57783.2022.00008. Post-print: 10.48550/arXiv.2209.11534.
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  Zeyang Huang, Kostiantyn Kucher, and Andreas Kerren. Towards an exploratory visual analytics system for multivariate subnetworks in social media analysis. In Poster Abstracts of the IEEE Visualization and Visual Analytics Conference, VIS '22, 2022. URL: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-189670.
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  Daniel Witschard, Ilir Jusufi, Rafael M. Martins, Kostiantyn Kucher, and Andreas Kerren. Interactive optimization of embedding-based text similarity calculations. Information Visualization, vol. 21, no. 4, pp. 335–353, 2022. DOI: 10.1177/14738716221114372.
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  Angelos Chatzimparmpas, Rafael M. Martins, Kostiantyn Kucher, and Andreas Kerren. FeatureEnVi: Visual analytics for feature engineering using stepwise selection and semi-automatic extraction approaches. IEEE Transactions on Visualization and Computer Graphics, vol. 28, no. 4, pp. 1773–1791, 2022. DOI: 10.1109/TVCG.2022.3141040.
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  Kostiantyn Kucher, Samir Bouchama, Achim Ebert, and Andreas Kerren. Task-based evaluation of sentiment visualization techniques. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP '22) — Volume 3: IVAPP, IVAPP '22, short paper track, pp. 187–194. SciTePress, 2022. DOI: 10.5220/0010916400003124.
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  Tácito Trindade de Araújo Tiburtino Neves, Rafael M. Martins, Danilo Barbosa Coimbra, Kostiantyn Kucher, Andreas Kerren, and Fernando V. Paulovich. Fast and reliable incremental dimensionality reduction for streaming data. Computers & Graphics, vol. 102, pp. 233–244, 2022. DOI: 10.1016/j.cag.2021.08.009.

2021

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  Masoud Fatemi, Kostiantyn Kucher, Mikko Laitinen, and Pasi Fränti. Self-similarity of Twitter users. In Proceedings of the Swedish Workshop on Data Science, SweDS '21. IEEE, 2021. DOI: 10.1109/SweDS53855.2021.9638288.
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  Victoria Yantseva and Kostiantyn Kucher. Machine learning for social sciences: Stance classification of user messages on a migrant-critical discussion forum. In Proceedings of the Swedish Workshop on Data Science, SweDS '21. IEEE, 2021. DOI: 10.1109/SweDS53855.2021.9637718.
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  Rafael M. Martins, Morgan Ericsson, Danny Weyns, and Kostiantyn Kucher, editors. Proceedings of the Swedish Workshop on Data Science, SweDS '21. IEEE, 2021. DOI: 10.1109/SweDS53855.2021.
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  Angelos Chatzimparmpas, Rafael M. Martins, Kostiantyn Kucher, and Andreas Kerren. Empirical study: Visual analytics for comparing stacking to blending ensemble learning. In Proceedings of the 23rd International Conference on Control Systems and Computer Science, CSCS '21, pp. 1–8. IEEE, 2021. DOI: 10.1109/CSCS52396.2021.00008. Invited Paper.
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  Angelos Chatzimparmpas, Rafael M. Martins, Kostiantyn Kucher, and Andreas Kerren. VisEvol: Visual analytics to support hyperparameter search through evolutionary optimization. Computer Graphics Forum, vol. 40, no. 3, pp. 201-214, 2021. DOI: 10.1111/cgf.14300.
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  Kostiantyn Kucher, Rafael M. Martins, and Andreas Kerren. Project in visualization and data analysis: Experiences in designing and coordinating the course. In Proceedings of the 42nd Annual Conference of the European Association for Computer Graphics — Education Papers, EG '21, pp. 39–44. The Eurographics Association, 2021. DOI: 10.2312/eged.20211005.
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  Kostiantyn Kucher, Masoud Fatemi, and Mikko Laitinen. Towards visual sociolinguistic network analysis. In Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP '21) — Volume 3: IVAPP, IVAPP '21, short paper track, pp. 248–255. SciTePress, 2021. DOI: 10.5220/00103282024802555.
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  Angelos Chatzimparmpas, Rafael M. Martins, Kostiantyn Kucher, and Andreas Kerren. StackGenVis: Alignment of data, algorithms, and models for stacking ensemble learning using performance metrics. IEEE Transactions on Visualization and Computer Graphics, vol. 27, no. 2, pp. 1547–1557, 2021. DOI: 10.1109/TVCG.2020.3030352.

2020

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  Kostiantyn Kucher, Rafael M. Martins, Carita Paradis, and Andreas Kerren. StanceVis Prime: Visual analysis of sentiment and stance in social media texts. Journal of Visualization, vol. 23, no. 6, pp. 1015–1034, 2020. DOI: 10.1007/s12650-020-00684-5.
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  Vasiliki Simaki, Carita Paradis, Maria Skeppstedt, Magnus Sahlgren, Kostiantyn Kucher, and Andreas Kerren. Annotating speaker stance in discourse: The Brexit Blog Corpus. Corpus Linguistics and Linguistic Theory, vol. 16, no. 2, pp. 215–248, 2020. DOI: https://doi.org/10.1515/cllt-2016-0060.
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  Angelos Chatzimparmpas, Rafael M. Martins, Ilir Jusufi, Kostiantyn Kucher, Fabrice Rossi, and Andreas Kerren. The state of the art in enhancing trust in machine learning models with the use of visualizations. Computer Graphics Forum, vol. 39, no. 3, pp. 713–756, 2020. DOI: 10.1111/cgf.14034.
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  Maria Skeppstedt, Magnus Ahltorp, Kostiantyn Kucher, Andreas Kerren, Rafal Rzepka, and Kenji Araki. Topic modelling applied to a second language: A language adaption and tool evaluation study. In Selected Papers from the CLARIN Annual Conference 2019, pp. 145–156. Linköping Electronic Conference Proceedings, 2020. DOI: 10.3384/ecp2020172017.

2019

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  Kostiantyn Kucher and Andreas Kerren. Text visualization revisited: The state of the field in 2019. In Poster Proceedings of the EG/VGTC Conference on Visualization, EuroVis '19, pp. 29–31. The Eurographics Association, 2019. DOI: 10.2312/eurp.20191138.
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  Kostiantyn Kucher. Sentiment and Stance Visualization of Textual Data for Social Media. PhD dissertation, Linnaeus University Dissertations, No 347/2019, April 2019. URL: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-81081.

2018

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  Kostiantyn Kucher, Rafael M. Martins, and Andreas Kerren. Analysis of VINCI 2009–2017 proceedings. In Proceedings of the International Symposium on Visual Information Communication and Interaction, VINCI '18, short paper track, pp. 91–101. ACM, 2018. DOI: 10.1145/3231622.3231641.
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  Kostiantyn Kucher, Maria Skeppstedt, and Andreas Kerren. Application of interactive computer-assisted argument extraction to opinionated social media texts. In Poster Proceedings of the International Symposium on Visual Information Communication and Interaction, VINCI '18, pp. 102–103. ACM, 2018. DOI: 10.1145/3231622.3232505.
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  Kostiantyn Kucher, Carita Paradis, and Andreas Kerren. Visual analysis of sentiment and stance in social media texts. In Poster Proceedings of the EG/VGTC Conference on Visualization, EuroVis '18, pp. 49–51. The Eurographics Association, 2018. DOI: 10.2312/eurp.20181127. Best Poster Award.
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  Maria Skeppstedt, Kostiantyn Kucher, Manfred Stede, and Andreas Kerren. Topics2Themes: Computer-assisted argument extraction by visual analysis of important topics. In Proceedings of the Workshop on Visualization as Added Value in the Development, Use and Evaluation of Language Resources at LREC '18, VisLR III, pp. 9–16. ELRA, 2018. URL: http://lrec-conf.org/workshops/lrec2018/W16/summaries/2_W16.html.
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  Kostiantyn Kucher, Carita Paradis, and Andreas Kerren. DoSVis: Document stance visualization. In Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP '18) — Volume 3: IVAPP, IVAPP '18, short paper track, pp. 168–175. SciTePress, 2018. DOI: 10.5220/0006539101680175.
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  Kostiantyn Kucher, Carita Paradis, and Andreas Kerren. The state of the art in sentiment visualization. Computer Graphics Forum, vol. 37, no. 1, pp. 71–96, 2018. DOI: 10.1111/cgf.13217.

2017

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  Andreas Kerren, Kostiantyn Kucher, Yuan-Fang Li, and Falk Schreiber. BioVis Explorer: A visual guide for biological data visualization techniques. PLOS ONE, vol. 12, no. 11, article e0187341, 2017. DOI: 10.1371/journal.pone.0187341.
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  Rafael M. Martins, Vasiliki Simaki, Kostiantyn Kucher, Carita Paradis, and Andreas Kerren. StanceXplore: Visualization for the interactive exploration of stance in social media. In Proceedings of the Workshop on Visualization for the Digital Humanities at IEEE VIS '17, VIS4DH '17, 2017. URL: http://vis4dh.dbvis.de/papers/2017/.
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  Kostiantyn Kucher, Carita Paradis, Magnus Sahlgren, and Andreas Kerren. Active learning and visual analytics for stance classification with ALVA. ACM Transactions on Interactive Intelligent Systems (TiiS), vol. 7, no. 3, article 14, 2017. DOI: 10.1145/3132169.
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  Maria Skeppstedt, Kostiantyn Kucher, Carita Paradis, and Andreas Kerren. Language processing components of the StaViCTA project. In Proceedings of the Workshop on Logic and Algorithms in Computational Linguistics, LACompLing '17, pp. 137–138. Stockholm University, 2017. URL: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-66071.
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  Andreas Kerren, Kostiantyn Kucher, Yuan-Fang Li, and Falk Schreiber. MDS-based visual survey of biological data visualization techniques. In Poster Proceedings of the EG/VGTC Conference on Visualization, EuroVis '17, pp. 85–87, 2017. DOI: 10.2312/eurp.20171175.

2016

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  Kostiantyn Kucher, Andreas Kerren, Carita Paradis, and Magnus Sahlgren. Methodology and applications of visual stance analysis: An interactive demo. In Book of Abstracts of the International Symposium on Digital Humanities, pp. 56–57. Linnaeus University, 2016. URL: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-57763.
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  Kostiantyn Kucher, Andreas Kerren, Carita Paradis, and Magnus Sahlgren. Visual analysis of text annotations for stance classification with ALVA. In Poster Proceedings of the EG/VGTC Conference on Visualization, EuroVis '16, pp. 49–51. The Eurographics Association, 2016. DOI: 10.2312/eurp.20161139.
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  Kostiantyn Kucher, Daniel Cernea, and Andreas Kerren. Visualizing excitement of individuals and groups. In Proceedings of the ACM IUI 2016 Workshop on Emotion and Visualization, EmoVis '16, pp. 15–22. Linköping University Electronic Press, 2016. DOI: 10.3384/ecp10303.
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  Kostiantyn Kucher, Teri Schamp-Bjerede, Andreas Kerren, Carita Paradis, and Magnus Sahlgren. Visual analysis of online social media to open up the investigation of stance phenomena. Information Visualization, vol. 15, no. 2, pp. 93–116, 2016. DOI: 10.1177/1473871615575079.

2015

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  Teri Schamp-Bjerede, Carita Paradis, Kostiantyn Kucher, Andreas Kerren, and Magnus Sahlgren. New perspectives on gathering, vetting and employing big data from online social media: An interdisciplinary approach. In Abstracts Booklet of the International Computer Archive of Modern and Medieval English Conference, ICAME 36, pp. 153–155, 2015. URL: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-43364.
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  Kostiantyn Kucher and Andreas Kerren. Text visualization techniques: Taxonomy, visual survey, and community insights. In Proceedings of the IEEE Pacific Visualization Symposium, PacificVis '15, visualization notes track, pp. 117–121. IEEE, 2015. DOI: 10.1109/PACIFICVIS.2015.7156366.

2014

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  Kostiantyn Kucher and Andreas Kerren. Text Visualization Browser: A visual survey of text visualization techniques. In Poster Abstracts of the IEEE Conference on Information Visualization, InfoVis '14, 2014. URL: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-36296.
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  Kostiantyn Kucher, Andreas Kerren, Carita Paradis, and Magnus Sahlgren. Visual analysis of stance markers in online social media. In Poster Proceedings of the IEEE Conference on Visual Analytics Science and Technology, VAST '14, pp. 259–260. IEEE, 2014. DOI: 10.1109/VAST.2014.7042519.
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  Teri Schamp-Bjerede, Carita Paradis, Kostiantyn Kucher, Andreas Kerren, and Magnus Sahlgren. Turning face: Emoticons as reinforcers/attenuators. In Poster Abstracts of the International Conference on Conceptual Structure, Discourse, and Language, CSDL '14, 2014. URL: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-37001.
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  Teri Schamp-Bjerede, Carita Paradis, Kostiantyn Kucher, Andreas Kerren, Magnus Sahlgren, and Afshin Rahimi. Hedges and tweets: Certainty and uncertainty in epistemic markers in microblog feeds. In Book of Abstracts of the Annual Meeting of the Societas Linguistica Europaea, SLE '14, p. 199, 2014. URL: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-37128.
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  Teri Schamp-Bjerede, Carita Paradis, Kostiantyn Kucher, Andreas Kerren, and Magnus Sahlgren. The signifier, signified and stance: Happy/sad emoticons as emotionizers. In Poster Abstracts of the Conference of the International Association for Cognitive Semiotics, IACS '14, p. 219. Lund University, 2014. URL: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-36999.

Before 2014

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  Kostiantyn Kucher and Danny Weyns. A self-adaptive software system to support elderly care. In Proceedings of the International Conference of Students and Young Researchers "Modern Information Technologies", MIT '13. Odessa National Polytechnic University, 2013. URL: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-25924.
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  Kostiantyn Kucher and Svitlana Antoshchuk. Structured documents layout identification using user-defined model. In Proceedings of the International Conference of Students and Young Researchers "Modern Information Technologies", MIT '12. Odessa National Polytechnic University, 2012. In Ukrainian.
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  Kostiantyn Kucher and Svitlana Antoshchuk. Usage of radial basis function network for handwritten digits recognition. In Proceedings of the International Conference of Students and Young Researchers "Modern Information Technologies", MIT '11. Odessa National Polytechnic University, 2011. In Ukrainian.
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  Kostiantyn Kucher and Svitlana Antoshchuk. Geometrical image distortions compensation for forms processing. In Proceedings of the Conference of ONPU Young Researchers "Modern Information Technologies and Telecommunication Networks", MITTN '10. Odessa National Polytechnic University, 2010. URL: http://dspace.opu.ua/jspui/handle/123456789/4572. In Ukrainian.
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  Svitlana Antoshchuk, Natalia Krysenko, Illia Krysenko, and Kostiantyn Kucher. Significant method for the recognition of structured documents with manuscript filling on the basis of a convolutional neural network. Electrical Engineering and Electrical Equipment, no. 72, pp. 10–14, 2009. URL: https://eltecs.op.edu.ua/index.php/journal/article/view/2738. In Ukrainian.

Supervision Experience (Doctoral Students)

• Co-supervisor for: Daniel Witschard (Department of Computer Science and Media Technology, Linnaeus University). Co-supervision during September 2023 – present. Principal supervisor: Prof. Dr. Andreas Kerren (Linköping University and Linnaeus University).
• Co-supervisor for: Jinyi Wang (Department of Science and Technology, Linköping University). Co-supervision during August 2023 – present. Principal supervisor: Prof. Dr. Andreas Kerren (Linköping University and Linnaeus University).
• Co-supervisor for: Magnus Nylin (Department of Science and Technology, Linköping University). Co-supervision during April 2023 – December 2023. Principal supervisor: Prof. Dr. Jonas Lundberg (Linköping University). PhD dissertation URL: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-199042
• Co-supervisor for: Zeyang Huang (Department of Science and Technology, Linköping University). Co-supervision during March 2022 – present. Principal supervisor: Prof. Dr. Andreas Kerren (Linköping University and Linnaeus University).
• Co-supervisor for: Masoud Fatemi (Department of Computer Science and Media Technology, Linnaeus University). Co-supervision during November 2021 – present. Principal supervisor: Prof. Dr. Mikko Laitinen (Linnaeus University and University of Eastern Finland).
• Co-supervisor for: Victoria Yantseva (Department of Social Studies, Linnaeus University). Co-supervision during June 2021 – April 2022. Principal supervisor: Prof. Dr. Giangiacomo Bravo (Linnaeus University). PhD dissertation URL: https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-110565