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ORCIDLuana Micallef
Person information
- affiliation: Helsinki Institute for Information Technology (HIIT), Finland
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Books and Theses
- 2013
[b1]Luana Micallef:
Visualizing set relations and cardinalities using Venn and Euler diagrams. University of Kent, UK, 2013
Journal Articles
- 2023
- [j12]Chen He
, Luana Micallef, Baris Serim, Tung Thanh Vuong, Tuukka Ruotsalo, Giulio Jacucci:
Interactive visual facets to support fluid exploratory search. J. Vis. 26(1): 211-230 (2023) - 2021
- [j11]Chen He, Luana Micallef, Liye He, Gopal Peddinti, Tero Aittokallio, Giulio Jacucci:
Characterizing the Quality of Insight by Interactions: A Case Study. IEEE Trans. Vis. Comput. Graph. 27(8): 3410-3424 (2021) - 2019
- [j10]Andrea Bellucci, Andrea Vianello, Yves Florack, Luana Micallef, Giulio Jacucci:
Augmenting objects at home through programmable sensor tokens: A design journey. Int. J. Hum. Comput. Stud. 122: 211-231 (2019) - 2018
- [j9]Iiris Sundin, Tomi Peltola, Luana Micallef, Homayun Afrabandpey, Marta Soare, Muntasir Mamun Majumder, Pedram Daee, Chen He, Baris Serim, Aki S. Havulinna, Caroline Heckman, Giulio Jacucci, Pekka Marttinen, Samuel Kaski:
Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge. Bioinform. 34(13): i395-i403 (2018) - [j8]Rita Borgo, Luana Micallef, Benjamin Bach, Fintan McGee, Bongshin Lee:
Information Visualization Evaluation Using Crowdsourcing. Comput. Graph. Forum 37(3): 573-595 (2018) - 2017
- [j7]Chen He, Luana Micallef, ZiaurRehman Tanoli, Samuel Kaski, Tero Aittokallio, Giulio Jacucci:
MediSyn: uncertainty-aware visualization of multiple biomedical datasets to support drug treatment selection. BMC Bioinform. 18(S-10): 393:1-393:12 (2017) - [j6]Luana Micallef, Gregorio Palmas, Antti Oulasvirta, Tino Weinkauf:
Towards Perceptual Optimization of the Visual Design of Scatterplots. IEEE Trans. Vis. Comput. Graph. 23(6): 1588-1599 (2017) - 2016
- [j5]Bilal Alsallakh, Luana Micallef, Wolfgang Aigner, Helwig Hauser, Silvia Miksch, Peter J. Rodgers:
The State-of-the-Art of Set Visualization. Comput. Graph. Forum 35(1): 234-260 (2016) - [j4]Peter J. Rodgers, Gem Stapleton, Bilal Alsallakh, Luana Micallef, Robert Baker, Simon J. Thompson:
A task-based evaluation of combined set and network visualization. Inf. Sci. 367-368: 58-79 (2016) - 2014
- [j3]Peter Chapman, Luana Micallef:
Special Issue: Guest Editors' Introduction. J. Vis. Lang. Comput. 25(3): 133 (2014) - [j2]Luana Micallef, Peter Rodgers:
eulerForce: Force-directed layout for Euler diagrams. J. Vis. Lang. Comput. 25(6): 924-934 (2014) - 2012
- [j1]Luana Micallef, Pierre Dragicevic, Jean-Daniel Fekete:
Assessing the Effect of Visualizations on Bayesian Reasoning through Crowdsourcing. IEEE Trans. Vis. Comput. Graph. 18(12): 2536-2545 (2012)
Conference and Workshop Papers
- 2021
- [c14]Chen He, Luana Micallef, Baris Serim, Tung Thanh Vuong, Tuukka Ruotsalo, Giulio Jacucci:
Interactive Visual Facets to Support Fluid Exploratory Search. VINCI 2021: 15:1-15:10 - 2020
- [c13]Xiaoyi Wang, Luana Micallef, Kasper Hornbæk:
RegLine: Assisting Novices in Refining Linear Regression Models. AVI 2020: 30:1-30:9 - 2019
- [c12]Luana Micallef, Hans-Jörg Schulz, Marco Angelini, Michaël Aupetit, Remco Chang, Jörn Kohlhammer, Adam Perer, Giuseppe Santucci:
The Human User in Progressive Visual Analytics. EuroVis (Short Papers) 2019: 19-23 - 2017
- [c11]Khalil Klouche, Tuukka Ruotsalo, Luana Micallef, Salvatore Andolina, Giulio Jacucci:
Visual Re-Ranking for Multi-Aspect Information Retrieval. CHIIR 2017: 57-66 - [c10]Luana Micallef, Iiris Sundin, Pekka Marttinen, Muhammad Ammad-ud-din, Tomi Peltola, Marta Soare, Giulio Jacucci, Samuel Kaski:
Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets. IUI 2017: 547-552 - [c9]Kumaripaba Athukorala, Luana Micallef, Chao An, Aki Reijonen, Jaakko Peltonen, Tuukka Ruotsalo, Giulio Jacucci:
Visualizing activity traces to support collaborative literature searching. VINCI 2017: 45-52 - 2016
- [c8]Luana Micallef:
Set Visualization Challenges for Big Data. SetVR@Diagrams 2016: 1-3 - 2015
- [c7]Rita Borgo, Bongshin Lee, Benjamin Bach, Sara Irina Fabrikant, Radu Jianu, Andreas Kerren, Stephen G. Kobourov, Fintan McGee, Luana Micallef, Tatiana von Landesberger, Kathrin Ballweg, Stephan Diehl, Paolo Simonetto, Michelle X. Zhou:
Crowdsourcing for Information Visualization: Promises and Pitfalls. Crowdsourcing and Human-Centered Experiments 2015: 96-138 - 2014
- [c6]Luana Micallef, Peter Rodgers:
Computing the Region Areas of Euler Diagrams Drawn with Three Ellipses. ED/GViP@Diagrams 2014: 1-15 - [c5]Peter Chapman, Gem Stapleton, Peter Rodgers, Luana Micallef, Andrew Blake:
Visualizing Sets: An Empirical Comparison of Diagram Types. Diagrams 2014: 146-160 - [c4]Luana Micallef, Peter Rodgers:
eulerForce: Force-directed Layout for Euler Diagrams. DMS 2014: 292-299 - [c3]Baris Serim, Vuong Thanh Tung, Tuukka Ruotsalo, Luana Micallef, Giulio Jacucci:
mailVis: Visualizing emailbox for re-finding emails. IEEE VAST 2014: 275-276 - [c2]Bilal Alsallakh, Luana Micallef, Wolfgang Aigner, Helwig Hauser, Silvia Miksch, Peter J. Rodgers:
Visualizing Sets and Set-typed Data: State-of-the-Art and Future Challenges. EuroVis (STARs) 2014 - 2012
- [c1]Peter Chapman, Luana Micallef:
3rd International Workshop on Euler Diagrams. Diagrams 2012: 4
Editorship
- 2012
- [e1]Peter Chapman, Luana Micallef:
Proceedings of the 3rd International Workshop on Euler Diagrams, Canterbury, UK, July 2, 2012. CEUR Workshop Proceedings 854, CEUR-WS.org 2012 [contents]
Informal and Other Publications
- 2020
- [i3]Chen He, Luana Micallef, Liye He, Gopal Peddinti, Tero Aittokallio, Giulio Jacucci:
Characterizing the Quality of Insight by Interactions: A Case Study. CoRR abs/2010.05723 (2020) - 2017
- [i2]Yifan Hu, Luana Micallef, Martin Nöllenburg, Peter J. Rodgers:
Scalable Set Visualizations (Dagstuhl Seminar 17332). Dagstuhl Reports 7(8): 1-22 (2017) - 2016
- [i1]Luana Micallef, Iiris Sundin, Pekka Marttinen, Muhammad Ammad-ud-din, Tomi Peltola, Marta Soare, Giulio Jacucci, Samuel Kaski:
Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets. CoRR abs/1612.02487 (2016)
Coauthor Index
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