Demo Data from SIGIR 2026 / reviewers in the wild / expert
Jacob Sanderson
dblp:364/2930
· DBLP profile ↗
3ranked-venue papers
3as first author
3since 2021 · last 2026
0009-0002-5724-6637ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 first-author · 2 since 2021Databases, data management, data science and information retrieval · 1 · 1 first-author · 1 since 2021
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 |
Trustworthy machine learning · 67% Knowledge representation and reasoning · 33% |
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 › causality
causal structure |
1.0 | 1 | 2026 | CACE: A Framework for Generating Counterfactual Explanations Aligned With Causal Structure via Jointly Learned Conditional Distributions · IEEE Trans. Knowl. Data Eng. 2026 |
Machine learning › Trustworthy machine learning › interpretability
counterfactual explanation |
1.0 | 1 | 2026 | CACE: A Framework for Generating Counterfactual Explanations Aligned With Causal Structure via Jointly Learned Conditional Distributions · IEEE Trans. Knowl. Data Eng. 2026 |
Machine learning › Trustworthy machine learning
interpretability |
1.0 | 1 | 2026 | CACE: A Framework for Generating Counterfactual Explanations Aligned With Causal Structure via Jointly Learned Conditional Distributions · IEEE Trans. Knowl. Data Eng. 2026 |
Methods — techniques the papers use, named apart from their topics
joint learning · 1.0conditional distribution · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | CACE: A Framework for Generating Counterfactual Explanations Aligned With Causal Structure via Jointly Learned Conditional Distributions
Jacob Sanderson, Hua Mao 0001, Qiuji Yi, Wai Lok Woo |
IEEE Trans. Knowl. Data Eng. | 1 |
| 2025 | DiPACE: Diverse, Plausible and Actionable Counterfactual Explanations
Jacob Sanderson, Hua Mao 0001, Wai Lok Woo |
ICAART (2) | 1 |
| 2024 | Explainable Deep Semantic Segmentation for Flood Inundation Mapping with Class Activation Mapping Techniques
Jacob Sanderson, Hua Mao 0001, Naruephorn Tengtrairat, Raid Rafi Omar Al-Nima, Wai Lok Woo |
ICAART (3) | 1 |