Demo Data from SIGIR 2026 / reviewers in the wild / expert
Eric Raufaste
dblp:88/6671
· DBLP profile ↗
7ranked-venue papers
3as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 7 · 3 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 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 |
Knowledge representation and reasoning · 100% |
Topics — the 2 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 › uncertainty reasoning
possibility theory |
0.0 | 1 | 2003 | Testing the descriptive validity of possibility theory in human judgments of uncertainty · Artif. Intell. 2003 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
uncertainty reasoning |
0.0 | 1 | 2003 | Testing the descriptive validity of possibility theory in human judgments of uncertainty · Artif. Intell. 2003 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Axiomatic Characterization of Wishes and Constraints: An Empirical Analysis of Human EndorsementabstractPreferences can be expressed as wishes, constraints or both. Generally, wishes and constraints do not complement each other. A different reasoning principle is applied to rank-order the set of options depending on whether preferences refer to wishes or constraints. Consequently, these two types of preferences have been characterized by two separate sets of postulates offering a normative view of the preferences. This paper provides a complementary study. In particular an empirical analysis has been conducted in order to assess human endorsement of the normative view of wishes and constraints. Results showed that single postulates are highly endorsed by humans. However the latter showed more or less strong endorsement w.r.t. patterns of postulates. US laypersons and French participants in the experiment showed different behaviors. Souhila Kaci, Eric Raufaste |
ICTAI | 2 |
| 2009 | Elicitating Sugeno Integrals: Methodology and a Case Study
Henri Prade, Agnès Rico, Mathieu Serrurier, Eric Raufaste |
ECSQARU | 4 |
| 2008 | An evolutionist approach to information bipolarity: Representations and affects in human cognitionabstractThis paper investigates the psychological plausibility of the bipolarity concept, i.e., that positive and negative kinds of information are treated differently. Sections 2 and 3 review relevant investigations of the representational and affective systems in the experimental psychology literature. Section 4 provides new data supporting the idea that even when considering how affective changes occur, a certain level of independence exists between the positive and negative sides of affect. Together the studies reported here strongly support the psychological plausibility of bipolarity: Positive and negative kinds of information are not processed in the same way whichever domain is considered, preferences (affect) or beliefs (mental categories). © 2008 Wiley Periodicals Inc. Eric Raufaste, Stéphane Vautier |
Int. J. Intell. Syst. | 1 |
| 2008 | An Empirical Study of Statistical Properties of the Choquet and Sugeno IntegralsabstractThis paper investigates the statistical properties of the Choquet and Sugeno integrals, used as multiattribute models. The investigation is done on an empirical basis, and focuses on two topics: the distribution of the output of these integrals when the input is corrupted with noise, and the robustness of these models when they are identified using some set of learning data through some learning procedure. Michel Grabisch, Eric Raufaste |
IEEE Trans. Fuzzy Syst. | 2 |
| 2003 | Testing the descriptive validity of possibility theory in human judgments of uncertainty
Eric Raufaste, Rui Da Silva Neves, Claudette Mariné |
Artif. Intell. | 1 |
| 2001 | Polymorphism of Human Judgment under Uncertainty
Rui Da Silva Neves, Eric Raufaste |
ECSQARU | 2 |
| 1998 | Empirical Evaluation of Possibility Theory in Human Radiological Diagnosis
Eric Raufaste, Rui Da Silva Neves |
ECAI | 1 |