activity
20132025
most citedVisualizing Uncertainty in Sets

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NE2025

Neuromorphic Deployment of Spiking Neural Networks for Cognitive Load Classification in Air Traffic Control

Jiahui An, Chonghao Cai, Olympia Gallou +3

This paper presents a neuromorphic system for cognitive load classification in a real-world setting, an Air Traffic Control (ATC) task, using a hardware implementation of Spiking N…

cs.NE2025

Spiking Neural Networks for Mental Workload Classification with a Multimodal Approach

Jiahui An, Sara Irina Fabrikant, Giacomo Indiveri +1

Accurately assessing mental workload is crucial in cognitive neuroscience, human-computer interaction, and real-time monitoring, as cognitive load fluctuations affect performance a…

cs.HC2025

EEG-Based Cognitive Load Classification During Landmark-Based VR Navigation

Jiahui An, Bingjie Cheng, Dmitriy Rudyka +2

Brain computer interfaces enable real-time monitoring of cognitive load, but their effectiveness in dynamic navigation contexts is not well established. Using an existing VR naviga…

cs.HC2023★ 3 cited

Visualizing Uncertainty in Sets

Christian Tominski, Michael Behrisch, Susanne Bleisch +4

Set visualization facilitates the exploration and analysis of set-type data. However, how sets should be visualized when the data is uncertain is still an open research challenge.…

cs.CG2013

Semantic Word Cloud Representations: Hardness and Approximation Algorithms

Lukas Barth, Sara Irina Fabrikant, Stephen Kobourov +7

We study a geometric representation problem, where we are given a set of axis-aligned rectangles with fixed dimensions and a graph with vertex set . The task is to…