Demo Data from SIGIR 2026 / reviewers in the wild / expert
Peter Terpstra
dblp:93/6543
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1Applied, interdisciplinary, general and emerging computing · 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.
| Artificial intelligence
1 paper |
Knowledge representation and reasoning · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Knowledge representation and reasoning
knowledge acquisition |
0.0 | 1 | 1996 | Sisyphus-VT: A CommonKADS solution · Int. J. Hum. Comput. Stud. 1996 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
knowledge level analysis |
0.0 | 1 | 1996 | Sisyphus-VT: A CommonKADS solution · Int. J. Hum. Comput. Stud. 1996 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
ontology |
0.0 | 1 | 1996 | Sisyphus-VT: A CommonKADS solution · Int. J. Hum. Comput. Stud. 1996 |
Methods — techniques the papers use, named apart from their topics
CommonKADS · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | A verification protocol for the probe sequences of Affymetrix genome arrays reveals high probe accuracy for studies in mouse, human and ratabstractBACKGROUND: The Affymetrix GeneChip technology uses multiple probes per gene to measure its expression level. Individual probe signals can vary widely, which hampers proper interpretation. This variation can be caused by probes that do not properly match their target gene or that match multiple genes. To determine the accuracy of Affymetrix arrays, we developed an extensive verification protocol, for mouse arrays incorporating the NCBI RefSeq, NCBI UniGene Unique, NIA Mouse Gene Index, and UCSC mouse genome databases. RESULTS: Applying this protocol to Affymetrix Mouse Genome arrays (the earlier U74Av2 and the newer 430 2.0 array), the number of sequence-verified probes with perfect matches was no less than 85% and 95%, respectively; and for 74% and 85% of the probe sets all probes were sequence verified. The latter percentages increased to 80% and 94% after discarding one or two unverifiable probes per probe set, and even further to 84% and 97% when, in addition, allowing for one or two mismatches between probe and target gene. Similar results were obtained for other mouse arrays, as well as for human and rat arrays. Based on these data, refined chip definition files for all arrays are provided online. Researchers can choose the version appropriate for their study to (re)analyze expression data. CONCLUSION: The accuracy of Affymetrix probe sequences is higher than previously reported, particularly on newer arrays. Yet, refined probe set definitions have clear effects on the detection of differentially expressed genes. We demonstrate that the interpretation of the results of Affymetrix arrays is improved when the new chip definition files are used. Rudi Alberts, Peter Terpstra, Menno Hardonk, Leonid V. Bystrykh, Gerald de Haan, Rainer Breitling, Jan Peter Nap, Ritsert C. Jansen |
BMC Bioinform. | 2 |
| 1996 | Sisyphus-VT: A CommonKADS solution
Guus Schreiber, Peter Terpstra |
Int. J. Hum. Comput. Stud. | 2 |