EDBT 2026 Demo / reviewers in the wild / expert
Wojciech Basalaj
dblp:94/120
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2001
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1Human-computer interaction and ubiquitous computing · 1Theory of computation · 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.
| Databases, data mining, and information retrieval
2 papers |
Information retrieval · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Interaction techniques and input · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Interaction techniques and input › spatial interaction › navigation
image browsing |
0.0 | 1 | 2001 | Does organisation by similarity assist image browsing? · CHI 2001 |
Information retrieval
evaluation |
0.0 | 1 | 1999 | Evaluating a Visualisation of Image Similarity (poster abstract) · SIGIR 1999 |
Information retrieval
image retrieval |
0.0 | 2 | 2001 | Does organisation by similarity assist image browsing? · CHI 2001 Evaluating a Visualisation of Image Similarity (poster abstract) · SIGIR 1999 |
Methods — techniques the papers use, named apart from their topics
visual similarity · 0.1user experiment · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2001 | Does organisation by similarity assist image browsing?abstractIn current systems for browsing image collections, users are presented with sets of thumbnail images arranged in some default order on the screen. We are investigating whether it benefits users to have sets of thumbnails arranged according to their mutual similarity, so images that are alike are placed together. There are, of course, many possible definitions of "similarity": so far we have explored measurements based on low-level visual features, and on the textual captions assigned to the images. Here we describe two experiments, both involving designers as the participants, examining whether similarity-based arrangements of the candidate images are helpful for a picture selection task. Firstly, the two types of similarity-based arrangement were informally compared. Then, an arrangement based on visual similarity was more formally compared with a control of a random arrangement. We believe this work should be of interest to anyone designing a system that involves presenting sets of images to users. Keywords Image retrieval, information visualisation, evaluation. Kerry Rodden, Wojciech Basalaj, David Sinclair, Kenneth R. Wood |
CHI | 2 |
| 1999 | Straight-Line Drawings of Protein Interactions
Wojciech Basalaj, Karen Eilbeck |
GD | 1 |
| 1999 | Evaluating a Visualisation of Image Similarity (poster abstract)abstractNo abstract available. Kerry Rodden, Wojciech Basalaj, David Sinclair, Kenneth R. Wood |
SIGIR | 2 |