Demo Data from EDBT 2026 / reviewers in the wild / expert
Lukasz Kopec
dblp:155/1882
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 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.
| Artificial intelligence
1 paper |
Learning theory · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Human-AI interaction · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-AI interaction › interactive machine learning
machine teaching |
0.2 | 1 | 2014 | Optimal Teaching for Limited-Capacity Human Learners · NIPS 2014 |
Methods — techniques the papers use, named apart from their topics
teaching dimension analysis · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Optimal Teaching for Limited-Capacity Human Learners
Kaustubh R. Patil, Xiaojin Zhu 0001, Lukasz Kopec, Bradley C. Love |
NIPS | 3 |
| 2013 | Are forgetting processes crucial to category learning?
Lukasz Kopec, Bradley C. Love |
CogSci | 1 |