Piselli, Tommaso

Recent Publications

$F^2$Stories: A Modular Framework for Multi-Objective Optimization of Storylines with a Focus on Fairness
Piselli, Tommaso, Liotta, Giuseppe, Montecchiani, Fabrizio, Martin Nöllenburg, Sara Di Bartolomeo
IEEE Trans. Vis. Comput. Graph., volume 32, number 1, pages 747-757, 2026.
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Using $β$-proximity to Reduce Distortion in Bundled Graph Drawings
Wallinger, Markus, Piselli, Tommaso, Tappini, Alessandra, Archambault, Daniel, Liotta, Giuseppe, Martin Nöllenburg
EuroVis 2026 – Short Papers, 2026, Eurographics Association.
Note: To appear.
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Bundling-Aware Graph Drawing Revisited
Wallinger, Markus, Piselli, Tommaso, Tappini, Alessandra, Archambault, Daniel, Liotta, Giuseppe, Martin Nöllenburg
IEEE Trans. Vis. Comput. Graph., volume 31, number 12, pages 10828-10839, 2025.
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Introducing Fairness in Network Visualization
Eades, Peter, Hong, Seok-Hee, Liotta, Giuseppe, Montecchiani, Fabrizio, Martin Nöllenburg, Piselli, Tommaso, Wismath, Stephen
Information Sciences, volume 691, pages 121642, 2025.
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Bundling-Aware Graph Drawing
Archambault, Daniel, Liotta, Giuseppe, Martin Nöllenburg, Piselli, Tommaso, Tappini, Alessandra, Wallinger, Markus
Graph Drawing and Network Visualization (GD'24) (Felsner, Stefan and Klein, Karsten), volume 320 of LIPIcs, pages 15:1-15:19, 2024, Schloss Dagstuhl – Leibniz-Zentrum für Informatik.
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Introducing Fairness in Graph Visualization
Hong, Seok-Hee, Liotta, Giuseppe, Montecchiani, Fabrizio, Martin Nöllenburg, Piselli, Tommaso
Graph Drawing and Network Visualization (GD'24) (Felsner, Stefan and Klein, Karsten), volume 320 of LIPIcs, pages 49:1-49:3, 2024, Schloss Dagstuhl – Leibniz-Zentrum für Informatik.
Note: Poster abstract
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Introducing Fairness in Graph Visualization via Gradient Descent
Montecchiani, Fabrizio, Liotta, Giuseppe, Martin Nöllenburg, Hong, Seok-Hee, Piselli, Tommaso
Machine Learning Methods in Visualisation for Big Data (MLVis'24) (Archambault, Daniel and Nabney, Ian and Peltonen, Jaakko), pages 1-5, 2024, Eurographics Association.
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