Demo Data from VLDB 2026 / reviewers in the wild / expert
Vladislav Daniel Veksler
dblp:94/4255
· DBLP profile ↗
8ranked-venue papers
5as first author
0since 2021 · last 2019
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 7 · 5 first-authorApplied, interdisciplinary, general and emerging computing · 7 · 5 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics
graph visualization |
0.1 | 1 | 2006 | TreePlus: Interactive Exploration of Networks with Enhanced Tree Layouts · IEEE Trans. Vis. Comput. Graph. 2006 |
Visualization and visual analytics › graph visualization
interactive graph exploration |
0.1 | 1 | 2006 | TreePlus: Interactive Exploration of Networks with Enhanced Tree Layouts · IEEE Trans. Vis. Comput. Graph. 2006 |
Visualization and visual analytics › graph visualization
node-link layout |
0.1 | 1 | 2006 | TreePlus: Interactive Exploration of Networks with Enhanced Tree Layouts · IEEE Trans. Vis. Comput. Graph. 2006 |
Visualization and visual analytics › hierarchical data visualization
tree layout |
0.1 | 1 | 2006 | TreePlus: Interactive Exploration of Networks with Enhanced Tree Layouts · IEEE Trans. Vis. Comput. Graph. 2006 |
Methods — techniques the papers use, named apart from their topics
controlled user study · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Automatic Model Generation with Symbolic Deep Learning
Vladislav Daniel Veksler, Norbou Buchler |
CogSci | 1 |
| 2018 | Humans aren't enough: Providing access for simulated participants to behavioral experiment software
Vladislav Daniel Veksler, Norbou Buchler, Christian Lebiere, Don Morrison |
CogSci | 1 |
| 2016 | Know Your Enemy: Applying Cognitive Modeling in Security Domain
Vladislav Daniel Veksler, Norbou Buchler |
CogSci | 1 |
| 2014 | Computational Cognition Ideation Challenge
Kevin A. Gluck, Vladislav Daniel Veksler, Norbou Buchler, Troy D. Kelley, Paul Bello, James J. Donlon, Alonso Vera, Bob Lee |
CogSci | 2 |
| 2014 | Controlling State-Space Explosion in Chunk Learning
Vladislav Daniel Veksler, Kevin A. Gluck, Christopher W. Myers, Jack Harris, Thomas Mielke |
CogSci | 1 |
| 2013 | Explorations in Human and Machine Learning of Decision Trees
Kevin A. Gluck, Jack Harris, Thomas Mielke, Christopher W. Myers, Vladislav Daniel Veksler |
CogSci | 5 |
| 2012 | An Integrated Model of Associative and Reinforcement Learning
Vladislav Daniel Veksler, Christopher W. Myers, Kevin A. Gluck |
CogSci | 1 |
| 2006 | TreePlus: Interactive Exploration of Networks with Enhanced Tree LayoutsabstractDespite extensive research, it is still difficult to produce effective interactive layouts for large graphs. Dense layout and occlusion make food webs, ontologies, and social networks difficult to understand and interact with. We propose a new interactive Visual Analytics component called TreePlus that is based on a tree-style layout. TreePlus reveals the missing graph structure with visualization and interaction while maintaining good readability. To support exploration of the local structure of the graph and gathering of information from the extensive reading of labels, we use a guiding metaphor of "Plant a seed and watch it grow." It allows users to start with a node and expand the graph as needed, which complements the classic overview techniques that can be effective at (but often limited to) revealing clusters. We describe our design goals, describe the interface, and report on a controlled user study with 28 participants comparing TreePlus with a traditional graph interface for six tasks. In general, the advantage of TreePlus over the traditional interface increased as the density of the displayed data increased. Participants also reported higher levels of confidence in their answers with TreePlus and most of them preferred TreePlus. Bongshin Lee, Cynthia Sims Parr, Catherine Plaisant, Benjamin B. Bederson, Vladislav Daniel Veksler, Wayne D. Gray, Christopher Kotfila |
IEEE Trans. Vis. Comput. Graph. | 5 |