Demo Data from EDBT 2026 / reviewers in the wild / expert
Mark Derthick
dblp:d/MarkDerthick
· DBLP profile ↗
11ranked-venue papers
11as first author
0since 2021 · last 2008
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 7 · 7 first-authorHuman-computer interaction and ubiquitous computing · 3 · 3 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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
2 papers |
Visualization and visual analytics · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% | |
| Artificial intelligence
5 papers |
Knowledge representation and reasoning · 56% Representation and self-supervised learning · 19% Probabilistic and Bayesian machine learning · 14% | |
| Human-computer interaction and pervasive computing
1 paper |
User interface design and tools · 50% Interaction techniques and input · 50% | |
| Databases, data mining, and information retrieval
2 papers |
Data mining · 50% Information retrieval · 50% |
Topics — the 13 heaviest of 17, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
phylogenetics |
0.1 | 1 | 2008 | Interactive visualization software for exploring phylogenetic trees and clades · Bioinform. 2008 |
Visualization and visual analytics › biological data visualization
phylogenetic tree visualization |
0.1 | 1 | 2008 | Interactive visualization software for exploring phylogenetic trees and clades · Bioinform. 2008 |
Visualization and visual analytics
interactive data exploration |
0.0 | 1 | 1997 | An Interactive Visualization Environment for Data Exploration · KDD 1997 |
Interaction techniques and input
direct manipulation |
0.0 | 1 | 1997 | An Interactive Visual Query Environment for Exploring Data · ACM Symposium on User Interface Software and Technology 1997 |
Machine learning › Representation and self-supervised learning › representation learning
feature discovery |
0.0 | 1 | 1991 | A Minimal Encoding Approach to Feature Discovery · AAAI 1991 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
commonsense reasoning |
0.0 | 1 | 1990 | Mundane Reasoning by Settling on a Plausible Model · Artif. Intell. 1990 |
Data mining
exploratory data analysis |
0.0 | 1 | 1997 | An Interactive Visualization Environment for Data Exploration · KDD 1997 |
Information retrieval › query formulation
visual query formulation |
0.0 | 1 | 1997 | An Interactive Visual Query Environment for Exploring Data · ACM Symposium on User Interface Software and Technology 1997 |
Machine learning › Probabilistic and Bayesian machine learning
boltzmann machine |
0.0 | 1 | 1987 | 'Ensemble' Boltzmann Units have Collective Computational Properties like those of Hopfield and Tank Neurons · NIPS 1987 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
causal reasoning |
0.0 | 1 | 1987 | Counterfactual Reasoning with Direct Models · AAAI 1987 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › causal reasoning
counterfactual reasoning |
0.0 | 1 | 1987 | Counterfactual Reasoning with Direct Models · AAAI 1987 |
Machine learning › Deep learning architectures and training › recurrent neural network
hopfield network |
0.0 | 1 | 1987 | 'Ensemble' Boltzmann Units have Collective Computational Properties like those of Hopfield and Tank Neurons · NIPS 1987 |
Machine learning › Probabilistic and Bayesian machine learning › causal inference
causal model |
0.0 | 1 | 1987 | Counterfactual Reasoning with Direct Models · AAAI 1987 |
Methods — techniques the papers use, named apart from their topics
interactive visualization · 0.2minimal encoding · 0.0ensemble boltzmann units · 0.0direct models · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | Interactive visualization software for exploring phylogenetic trees and cladesabstractUNLABELLED: The Summary Tree Explorer (STE) is a Java application for interactively exploring sets of phylogenetic trees using two coupled representations: a node-and-link diagram and a textual list of common clades. Selection, pruning, filtering or re-rooting in one representation is immediately reflected in the other. While summary trees are more effective at showing the relationship among clades, they can only show a consistent subset of those that appear in the textual list. Working with both representations mitigates the disadvantages of having to choose just one. AVAILABILITY: STE, along with several sample datasets, is available at http://cityscape.inf.cs.cmu.edu/phylogeny/ Mark Derthick |
Bioinform. | 1 |
| 2001 | Example based generation of custom data analysis appliancesabstractCustom interfaces, which we call appliances, allow users to efficiently carry out specialized tasks. Without one, a user is often required to perform repetitive mechanical steps using general purpose interfaces, which we call tools. Much research has attempted to enable non-programmers to create appliances for themselves. We present a system in which a user can choose an example of the task behavior to be automated from a visualization of his past operations. The example is transformed into a visual language, using two simple rules to generalize from the single example to a class of tasks. The user can then edit this representation directly, or continue to refine the example using selective undo and redo. The visual representation can be transformed into an esthetically pleasing appliance by deleting irrelevant components, and rearranging, resizing, and relabeling other components. Restricting the domain to data analysis tasks enables a well-matched visual query language to be used. Appliance interactions are automatically provided by the underlying interactive visualization system in which the appliance is embedded. An observational study suggests that this system represents a useful point on the ease-of-use vs. expressive power tradeoff appropriate for data analysis, and that the ability to choose and modify examples after the fact is helpful. Mark Derthick, Steven F. Roth |
IUI | 1 |
| 2001 | Enhancing data exploration with a branching history of user operations
Mark Derthick, Steven F. Roth |
Knowl. Based Syst. | 1 |
| 2000 | Data exploration across temporal contextsabstractThe ability to quickly explore and compare multiple scenarios is an important component of exploratory data analysis. Yet today's interfaces cannot represent alternative exploration paths as a branching history, forcing the user to recognize conceptual branch points in a linear history. Further, the interface can only show information from one state at a time, forcing the user to use her memory to compare scenarios. Mark Derthick, Steven F. Roth |
IUI | 1 |
| 1997 | An Interactive Visualization Environment for Data Exploration
Mark Derthick, John Kolojejchick, Steven F. Roth |
KDD | 1 |
| 1997 | An Interactive Visual Query Environment for Exploring DataabstractDirect manipulation of visualizations is a powerful technique for performing exploratory data operations such as navigation, aggregation, and filtering.Its immediacy facilitates rapid, incremental, and ,reversible forays.into the *(data.However it does not provide for!reuse or modification of exploration sessions.This paper describes a visual query language, VQE, that adds these capabilities to a direct manipulation exploration environment called Visage.Queries and visualizations are' dynamically linked: operations on either one immediately update the other, in contrast to the feedforward sequence of database query followed by .visualization of results common in traditional systems.8, These features are supported by the architectural concept of threads,, which represent a sequence of navigation steps on particular objects.Because they are tied to, particular data objects, they can.be directly manipulated.: Because they represent operations, they can be generalized into queries.We expect this technique to apply to direct manipulation interfaces to any object-oriented system that represents both objects and the relationships among them. Mark Derthick, John Kolojejchick, Steven F. Roth |
ACM Symposium on User Interface Software and Technology | 1 |
| 1991 | A Minimal Encoding Approach to Feature Discovery
Mark Derthick |
AAAI | 1 |
| 1990 | Mundane Reasoning by Settling on a Plausible Model
Mark Derthick |
Artif. Intell. | 1 |
| 1990 | Steven Pinker and Jacques Mehler, eds., Connections and Symbols (Reprinted from Cognition: International Journal of Cognitive Science 28 (1988))
Mark Derthick |
Artif. Intell. | 1 |
| 1987 | Counterfactual Reasoning with Direct Models
Mark Derthick |
AAAI | 1 |
| 1987 | 'Ensemble' Boltzmann Units have Collective Computational Properties like those of Hopfield and Tank Neurons
Mark Derthick, Joe Tebelskis |
NIPS | 1 |