Ute Schmid
25 publications
14 venues
H Index 8
Affiliation
University of Bamberg, Faculty Information Systems and Applied Computer Sciences, GermanyUniversity of Osnabr ck, Institute of Computer Science, Germany
TU Berlin, Department of Computer Science, Germany
Links
DBLPGoogle Scholar
ORCID- https://www.uni-bamberg.de/en/cogsys/team/schmid-ute/
- http://www.cogsys.wiai.uni-bamberg.de/schmid/index.html
- https://mathgenealogy.org/id.php?id=218986
- https://en.wikipedia.org/wiki/Ute_Schmid
- https://www.wikidata.org/entity/Q102685783
- https://id.loc.gov/authorities/names/nr00005304
- https://d-nb.info/gnd/1018194363
| Name | Venue | Year | citations |
|---|---|---|---|
Explainable and interpretable machine learning and data mining.
|
DMKD | 2024 | 0 |
| Explanatory machine learning for sequential human teaching.
|
MLJ | 2023 | 0 |
| An Interactive Explanatory AI System for Industrial Quality Control.
|
AAAI | 2022 | 2 |
| Explaining with Attribute-Based and Relational Near Misses: An Interpretable Approach to Distinguishing Facial Expressions of Pain and Disgust.
|
ILP | 2022 | 0 |
| Generating contrastive explanations for inductive logic programming based on a near miss approach.
|
MLJ | 2022 | 0 |
| Explaining Machine Learned Relational Concepts in Visual Domains - Effects of Perceived Accuracy on Joint Performance and Trust.
|
Cognitive Science | 2021 | 0 |
| Beneficial and harmful explanatory machine learning.
|
MLJ | 2021 | 0 |
| Automatic Detection of Pain from Facial Expressions: A Survey.
|
TPAMI | 2021 | 0 |
| Verifying Deep Learning-based Decisions for Facial Expression Recognition.
|
ESANN | 2020 | 6 |
| Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP.
|
MLJ | 2018 | 93 |
| Explaining Black-Box Classifiers with ILP - Empowering LIME with Aleph to Approximate Non-linear Decisions with Relational Rules.
|
ILP | 2018 | 21 |
| Was the Year 2000 a Leap Year? Step-Wise Narrowing Theories with Metagol.
|
ILP | 2018 | 3 |
| Computer Models Solving Intelligence Test Problems: Progress and Implications (Extended Abstract).
|
IJCAI | 2017 | 3 |
| The Impact of Presentation Order on Category Learning Strategies: Behavioral Data and Self-Reports.
|
Cognitive Science | 2017 | 0 |
| Computer models solving intelligence test problems: Progress and implications.
|
Artificial Intelligence | 2016 | 70 |
| How Does Predicate Invention Affect Human Comprehensibility?
|
ILP | 2016 | 37 |
| A Practical Approach to Fuse Shape and Appearance Information in a Gaussian Facial Action Estimation Framework.
|
ECAI | 2016 | 5 |
| A cognitive model for predicting esthetical judgements as similarity to dynamic prototypes.
|
Cognitive System Research | 2013 | 8 |
| Analogical Problem Solving: Insights from Verbal Reports.
|
Cognitive Science | 2012 | 5 |
| The challenge of complexity for cognitive systems.
|
Cognitive System Research | 2011 | 44 |
| Inductive rule learning on the knowledge level.
|
Cognitive System Research | 2011 | 56 |
| Data-Driven Detection of Recursive Program Schemes.
|
ECAI | 2010 | 2 |
| Transformational and derivational strategies in analogical problem solving.
|
Cognitive Processing | 2007 | 7 |
| Inductive Synthesis of Functional Programs: An Explanation Based Generalization Approach.
|
JMLR | 2006 | 5 |
| Induction of Recursive Program Schemes.
|
ECML/PKDD | 1998 | 35 |