560 citations · 774 across the 15 of their papers we have counts for
15 papers
Quantum gas-enabled direct mapping of active current density in percolating networks of nanowires
J. Fekete, P. Joshi, T. J. Barrett +6
Electrically percolating nanowire networks are amongst the most promising candidates for next-generation transparent electrodes. Scientific interest in these materials stems from t…
Scalability in Visualization
Gaëlle Richer, Alexis Pister, Moataz Abdelaal +3
We introduce a conceptual model for scalability designed for visualization research. With this model, we systematically analyze over 120 visualization publications from 1990-2020 t…
Characterizing Uncertainty in the Visual Text Analysis Pipeline
Pantea Haghighatkhah, Mennatallah El-Assady, Jean-Daniel Fekete +4
Current visual text analysis approaches rely on sophisticated processing pipelines. Each step of such a pipeline potentially amplifies any uncertainties from the previous step. To…
An Interdisciplinary Perspective on Evaluation and Experimental Design for Visual Text Analytics: Position Paper
Kostiantyn Kucher, Nicole Sultanum, Angel Daza +5
Appropriate evaluation and experimental design are fundamental for empirical sciences, particularly in data-driven fields. Due to the successes in computational modeling of languag…
An Environmental Monitoring Network for Quantum Gas Experiments and Devices
T. J. Barrett, W. Evans, A. Gadge +6
Quantum technology is approaching a level of maturity, recently demonstrated in space-borne experiments and in-field measurements, which would allow for adoption by non-specialist…
The Missing Path: Analysing Incompleteness in Knowledge Graphs
Marie Destandau, Jean-Daniel Fekete
Knowledge Graphs (KG) allow to merge and connect heterogeneous data despite their differences; they are incomplete by design. Yet, KG data producers need to ensure the best level o…
Integrating Prior Knowledge in Mixed Initiative Social Network Clustering
Alexis Pister, Paolo Buono, Jean-Daniel Fekete +2
We propose a new approach -- called PK-clustering -- to help social scientists create meaningful clusters in social networks. Many clustering algorithms exist but most social scien…
Cartolabe: A Web-Based Scalable Visualization of Large Document Collections
Caillou Philippe, Renault Jonas, Fekete Jean-Daniel +2
We describe CARTOLABE, a web-based multi-scale system for visualizing and exploring large textual corpora based on topics, introducing a novel mechanism for the progressive visuali…
Path Outlines: Browsing Path-Based Summaries of Knowledge Graphs
Marie Destandau, Olivier Corby, Jean-Daniel Fekete +1
Knowledge Graphs have become a ubiquitous technology powering search engines, recommender systems, connected objects, corporate knowledge management and Open Data. They rely on sma…
Visualizing and Analyzing Entity Activity on the Bitcoin Network
Christoph Kinkeldey, Jean-Daniel Fekete, Tanja Blascheck +1
We present BitConduite, a visual analytics tool for explorative analysis of financial activity within the Bitcoin network. Bitcoin is the largest cryptocurrency worldwide and a phe…
Progressive Data Science: Potential and Challenges
Cagatay Turkay, Nicola Pezzotti, Carsten Binnig +7
Data science requires time-consuming iterative manual activities. In particular, activities such as data selection, preprocessing, transformation, and mining, highly depend on iter…
Visualizing Dimensionality Reduction Artifacts: An Evaluation
Nicolas Heulot, Jean-Daniel Fekete, Michael Aupetit
Multidimensional scaling allows visualizing high-dimensional data as 2D maps with the premise that insights in 2D reveal valid information in high-dimensions. However, the resultin…
The CENDARI Infrastructure
Nadia Boukhelifa, Mike Bryant, Nataša Bulatović +6
The CENDARI infrastructure is a research supporting platform designed to provide tools for transnational historical research, focusing on two topics: Medieval culture and World War…
Progressive Analytics: A Computation Paradigm for Exploratory Data Analysis
Jean-Daniel Fekete, Romain Primet
Exploring data requires a fast feedback loop from the analyst to the system, with a latency below about 10 seconds because of human cognitive limitations. When data becomes large o…
NodeTrix: Hybrid Representation for Analyzing Social Networks
Nathalie Henry, Jean-Daniel Fekete, Michael Mcguffin
The need to visualize large social networks is growing as hardware capabilities make analyzing large networks feasible and many new data sets become available. Unfortunately, the v…