Ute Schmid

Orcid: 0000-0002-1301-0326

Affiliations:
  • University of Bamberg, Faculty Information Systems and Applied Computer Sciences, Germany
  • University of Osnabrück, Institute of Computer Science, Germany
  • TU Berlin, Department of Computer Science, Germany (PhD 1994)


According to our database1, Ute Schmid authored at least 145 papers between 1994 and 2023.

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Bibliography

2023
Comprehensible Artificial Intelligence on Knowledge Graphs: A survey.
J. Web Semant., December, 2023

FairCaipi: A Combination of Explanatory Interactive and Fair Machine Learning for Human and Machine Bias Reduction.
Mach. Learn. Knowl. Extr., December, 2023

Explanatory machine learning for sequential human teaching.
Mach. Learn., October, 2023

ManuKnowVis: How to Support Different User Groups in Contextualizing and Leveraging Knowledge Repositories.
IEEE Trans. Vis. Comput. Graph., August, 2023

Toward human-level concept learning: Pattern benchmarking for AI algorithms.
Patterns, August, 2023

Approaches and Applications of Inductive Programming (Dagstuhl Seminar 23442).
Dagstuhl Reports, 2023

Cluster Robust Inference for Embedding-Based Knowledge Graph Completion.
Proceedings of the Knowledge Science, Engineering and Management, 2023

Task Planning Support for Arborists and Foresters: Comparing Deep Learning Approaches for Tree Inventory and Tree Vitality Assessment Based on UAV-Data.
Proceedings of the Innovations for Community Services - 23rd International Conference, 2023

Inductive Logic Programming for Explainable Graph Clustering.
Proceedings of the IEEE International Conference on Knowledge Graph, 2023

Bayesian CAIPI: A Probabilistic Approach to Explanatory and Interactive Machine Learning.
Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

Domain-Specific Evaluation of Visual Explanations for Application-Grounded Facial Expression Recognition.
Proceedings of the Machine Learning and Knowledge Extraction, 2023

2022
Semantic Interactive Learning for Text Classification: A Constructive Approach for Contextual Interactions.
Mach. Learn. Knowl. Extr., December, 2022

IRVINE: A Design Study on Analyzing Correlation Patterns of Electrical Engines.
IEEE Trans. Vis. Comput. Graph., 2022

Generating contrastive explanations for inductive logic programming based on a near miss approach.
Mach. Learn., 2022

What is Missing in XAI So Far?
Künstliche Intell., 2022

Explainable AI.
Künstliche Intell., 2022

Constructing Explainability - Interdisciplinary Framework to Actively Shape Explanations in XAI.
Künstliche Intell., 2022

Explanatory machine learning for justified trust in human-AI collaboration: Experiments on file deletion recommendations.
Frontiers Artif. Intell., 2022

Concept Embeddings for Fuzzy Logic Verification of Deep Neural Networks in Perception Tasks.
CoRR, 2022

Explaining Hate Speech Classification with Model-Agnostic Methods.
Proceedings of the Joint Proceedings of Workshops, 2022

Explaining with Attribute-Based and Relational Near Misses: An Interpretable Approach to Distinguishing Facial Expressions of Pain and Disgust.
Proceedings of the Inductive Logic Programming - 31st International Conference, 2022

CAIPI in Practice: Towards Explainable Interactive Medical Image Classification.
Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12.5 International Workshops, 2022

Explainable Online Lane Change Predictions on a Digital Twin with a Layer Normalized LSTM and Layer-wise Relevance Propagation.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022

Explaining Image Classifications with Near Misses, Near Hits and Prototypes - Supporting Domain Experts in Understanding Decision Boundaries.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

CorrLoss: Integrating Co-Occurrence Domain Knowledge for Affect Recognition.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Female, white, 27? Bias Evaluation on Data and Algorithms for Affect Recognition in Faces.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

HiMLEdge - Energy-Aware Optimization for Hierarchical Machine Learning.
Proceedings of the Advanced Research in Technologies, Information, Innovation and Sustainability, 2022

A Video-based Study on Perceived Intelligence, Subjective Performance and Trust under Variation of Prior Information given to Users in Autonomous Driving.
Proceedings of the International IEEE Conference on Advanced Robotics and Its Social Impactsm, 2022

An Interactive Explanatory AI System for Industrial Quality Control.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Interactive Learning with Mutual Explanations in Relational Domains.
Proceedings of the Human-Like Machine Intelligence., 2022

2021
Automatic Detection of Pain from Facial Expressions: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Beneficial and harmful explanatory machine learning.
Mach. Learn., 2021

Approaches and Applications of Inductive Programming (Dagstuhl Seminar 21192).
Dagstuhl Reports, 2021

Extending Challenge Sets to Uncover Gender Bias in Machine Translation: Impact of Stereotypical Verbs and Adjectives.
Proceedings of the Sixth Conference on Machine Translation, 2021

Deriving Temporal Prototypes from Saliency Map Clusters for the Analysis of Deep-Learning-based Facial Action Unit Classification.
Proceedings of the LWDA 2021 Workshops: FGWM, 2021

Explanation as a Process: User-Centric Construction of Multi-level and Multi-modal Explanations.
Proceedings of the KI 2021: Advances in Artificial Intelligence - 44th German Conference on AI, Virtual Event, September 27, 2021

A Case-Based Reasoning Approach for a Decision Support System in Manufacturing.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021

Grundkonzepte des Maschinellen Lernens für die Grundschule - Algorithmen, Biases, Generalisierungsfehler.
Proceedings of the 51. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2021 - Computer Science & Sustainability, Berlin, Germany, 27. September, 2021

Anomaly Detection for Hydraulic Systems under Test.
Proceedings of the 26th IEEE International Conference on Emerging Technologies and Factory Automation, 2021

Multimodal Explanations for User-centric Medical Decision Support Systems.
Proceedings of the AAAI 2021 Fall Symposium on Human Partnership with Medical AI: Design, 2021

2020
Mutual Explanations for Cooperative Decision Making in Medicine.
Künstliche Intell., 2020

The Next Generation of Medical Decision Support: A Roadmap Toward Transparent Expert Companions.
Frontiers Artif. Intell., 2020

A process framework for inducing and explaining Datalog theories.
Adv. Data Anal. Classif., 2020

AI goes to school: learning about and learning with artificial intelligence.
Proceedings of the WiPSCE '20: Workshop in Primary and Secondary Computing Education, 2020

Expressive Explanations of DNNs by Combining Concept Analysis with ILP.
Proceedings of the KI 2020: Advances in Artificial Intelligence, 2020

Künstliche Intelligenz - Die dritte Welle.
Proceedings of the 50. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2020 - Back to the Future, Karlsruhe, Germany, 28. September, 2020

Verifying Deep Learning-based Decisions for Facial Expression Recognition.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Einleitung.
Proceedings of the Handbuch der Künstlichen Intelligenz, 6. Auflage, 2020

2019
Please delete that! Why should I? - Explaining learned irrelevance classifications of digital objects.
Künstliche Intell., 2019

Approaches and Applications of Inductive Programming (Dagstuhl Seminar 19202).
Dagstuhl Reports, 2019

"Wie funktioniert das?" - Informatische Konzepte in der Vor- und Grundschule spielerisch begreifen und anwenden.
Proceedings of the Informatik für alle, 18. GI-Fachtagung Informatik und Schule, 2019

Effect of Superpixel Aggregation on Explanations in LIME - A Case Study with Biological Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Enriching Visual with Verbal Explanations for Relational Concepts - Combining LIME with Aleph.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018
Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP.
Mach. Learn., 2018

Informatik in der Grundschule - Eine informatisch-pädagogische Perspektive auf informatikdidaktische Konzepte.
Inform. Spektrum, 2018

Intentional Forgetting in Artificial Intelligence Systems: Perspectives and Challenges.
Proceedings of the KI 2018: Advances in Artificial Intelligence, 2018

Inductive Programming as Approach to Comprehensible Machine Learning.
Proceedings of the 7th Workshop on Dynamics of Knowledge and Belief (DKB-2018) and the 6th Workshop KI & Kognition (KIK-2018) co-located with 41st German Conference on Artificial Intelligence (KI 2018), 2018

Was the Year 2000 a Leap Year? Step-Wise Narrowing Theories with Metagol.
Proceedings of the Inductive Logic Programming - 28th International Conference, 2018

Explaining Black-Box Classifiers with ILP - Empowering LIME with Aleph to Approximate Non-linear Decisions with Relational Rules.
Proceedings of the Inductive Logic Programming - 28th International Conference, 2018

From beliefs to intention: mentoring as an approach to motivate female high school students to enrol in computer science studies.
Proceedings of the Third Conference on GenderIT, 2018

2017
Trace-Based Programming.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Programming by Demonstration.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Inductive Programming.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Living Lab Bamberg: an infrastructure to explore smart city research challenges in the wild.
Künstliche Intell., 2017

Approaches and Applications of Inductive Programming (Dagstuhl Seminar 17382).
Dagstuhl Reports, 2017

Mental Models, Career Aspirations, and the Acquirement of Basic Concepts of Computer Science in Elementary Education: Empirical Evaluation of the Computer Science Experimenter's Kit.
Proceedings of the 12th Workshop on Primary and Secondary Computing Education, 2017

Computer Science in Early Childhood Education: Pedagogical Beliefs and Perceived Self-Confidence in Preschool Teachers.
Proceedings of the 12th Workshop on Primary and Secondary Computing Education, 2017

Kindliche Modelle der digitalen Welt.
Proceedings of the Informatische Bildung zum Verstehen und Gestalten der digitalen Welt, 2017

A Human Like Incremental Decision Tree Algorithm: Combining Rule Learning, Pattern Induction, and Storing Examples.
Proceedings of the Lernen, 2017

Computer Models Solving Intelligence Test Problems: Progress and Implications (Extended Abstract).
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Requirements for a companion system to support identifying irrelevancy.
Proceedings of the International Conference on Companion Technology, 2017

The Impact of Presentation Order on Category Learning Strategies: Behavioral Data and Self-Reports.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Data Mining von multidimensionalen Qualitätsdaten aus einer computerintegrierten industriellen Fertigung zur visuellen Analyse von komplexen Wirkzusammenhängen.
Proceedings of the Datenbanksysteme für Business, 2017

2016
Characterizing facial expressions by grammars of action unit sequences - A first investigation using ABL.
Inf. Sci., 2016

Computer models solving intelligence test problems: Progress and implications.
Artif. Intell., 2016

Computer science experimenter's kit for use in preschool and primary school.
Proceedings of the 11th Workshop in Primary and Secondary Computing Education, 2016

How Does Predicate Invention Affect Human Comprehensibility?
Proceedings of the Inductive Logic Programming - 26th International Conference, 2016

Automatic Generation of Analogous Problems to Help Resolving Misconceptions in an Intelligent Tutor System for Written Subtraction.
Proceedings of the Workshops Proceedings for the Twenty-fourth International Conference on Case-Based Reasoning (ICCBR 2016), Atlanta, Georgia, USA, October 31, 2016

Automatische Detektion von Trockenstress bei Tabakpflanzen mittels Machine-Learning-Verfahren.
Proceedings of the Informatik in der Land-, Forst- und Ernährungswirtschaft, Fokus: Intelligente Systeme, 2016

Gemeinsame mentale Modelle in der agilen Softwareentwicklung: Ein Ansatz zur Erstellung von Gestaltungsempfehlungen für "gute" erfahrungsspezifische User Stories.
Proceedings of the 46. Jahrestagung der Gesellschaft für Informatik, 2016

A Practical Approach to Fuse Shape and Appearance Information in a Gaussian Facial Action Estimation Framework.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015
You Need the AI Community - and the AI Community Needs You!
Künstliche Intell., 2015

Can Machine Intelligence be Measured in the Same Way as Human intelligence?
Künstliche Intell., 2015

Introvertierte Studenten, fleißige Studentinnen? - Geschlechtsspezifische Unterschiede in Motivation, Zufriedenheit und Wahrnehmungsmustern bei Informatikstudierenden - Ergebnisse aus Erstsemesterbefragungen an der Fakultät Wirtschaftsinformatik und Angewandte Informatik der Otto-Friedrich-Universität Bamberg differenziert nach Geschlecht.
Inform. Spektrum, 2015

Approaches and Applications of Inductive Programming (Dagstuhl Seminar 15442).
Dagstuhl Reports, 2015

Inductive programming meets the real world.
Commun. ACM, 2015

Cognitive Systems: Goals, Approaches, Applications.
Proceedings of the 45. Jahrestagung der Gesellschaft für Informatik, Informatik, Energie und Umwelt, INFORMATIK 2015, Cottbus, Germany, September 28, 2015

Comparing Computer Models Solving Number Series Problems.
Proceedings of the Artificial General Intelligence, 2015

2014
How Similar is What I Get to What I Want: Matchmaking for Mobility Support.
Proceedings of the Computational Approaches to Analogical Reasoning: Current Trends, 2014

Does AI Need a New Debate on Ethics?
Künstliche Intell., 2014

Grounding Hierarchical Reinforcement Learning Models for Knowledge Transfer.
CoRR, 2014

Applying Inductive Program Synthesis to Induction of Number Series A Case Study with IGOR2.
Proceedings of the KI 2014: Advances in Artificial Intelligence, 2014

2013
Assistive Technology to Support the Mobility of Senior Citizens - Overcoming Mobility Barriers and Establishing Mobility Chains by Social Collaboration.
Künstliche Intell., 2013

Approaches and Applications of Inductive Programming (Dagstuhl Seminar 13502).
Dagstuhl Reports, 2013

A cognitive model for predicting esthetical judgements as similarity to dynamic prototypes.
Cogn. Syst. Res., 2013

A machine learning approach to drought stress level classification of tobacco plants.
Proceedings of the LWA 2013. Lernen, 2013

Erkennung von Sequenzen mimischer Schmerzausdrücke durch genetische Programmierung.
Proceedings of the LWA 2013. Lernen, 2013

Einleitung.
Proceedings of the Handbuch der Künstlichen Intelligenz, 5. Auflage, 2013

From Streams of Observations to Knowledge-Level Productive Predictions.
Proceedings of the Human Behavior Recognition Technologies, 2013

2012
KI und Informatik.
Künstliche Intell., 2012

Applying Grammar Inference To Identify Generalized Patterns of Facial Expressions of Pain.
Proceedings of the Eleventh International Conference on Grammatical Inference, 2012

Semi-analytic Natural Number Series Induction.
Proceedings of the KI 2012: Advances in Artificial Intelligence, 2012

Analogical Problem Solving: Insights from Verbal Reports.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011
The challenge of complexity for cognitive systems.
Cogn. Syst. Res., 2011

Inductive rule learning on the knowledge level.
Cogn. Syst. Res., 2011

From Sensorimotor Graphs to Rules: An Agent Learns from a Stream of Experience.
Proceedings of the Artificial General Intelligence - 4th International Conference, 2011

2010
Trace-Based Programming.
Proceedings of the Encyclopedia of Machine Learning, 2010

Programming by Demonstration.
Proceedings of the Encyclopedia of Machine Learning, 2010

Inductive Programming.
Proceedings of the Encyclopedia of Machine Learning, 2010

Incident Mining Using Structural Prototypes.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Interleaving Forward Backward Feature Selection.
Proceedings of the KDIR 2010, 2010

Data-Driven Detection of Recursive Program Schemes.
Proceedings of the ECAI 2010, 2010

Tracking von Gesichtsmimik mit Hilfe von Gitterstrukturen zur Klassifikation von schmerzrelevanten Action Units.
Proceedings of the Bildverarbeitung für die Medizin 2010 - Algorithmen - Systeme, 2010

2009
Inductive Programming.
Künstliche Intell., 2009

Editorial 3-2009.
Künstliche Intell., 2009

Evolutionary Programming Guided by Analytically Generated Seeds.
Proceedings of the IJCCI 2009, 2009

Porting IgorII from Maude to Haskell.
Proceedings of the Approaches and Applications of Inductive Programming, 2009

2008
KogWis 2008.
Künstliche Intell., 2008

Editorial.
Künstliche Intell., 2008

KI und Kognition - Service.
Künstliche Intell., 2008

Interview with Ken Forbus.
Künstliche Intell., 2008

Cognition and AI.
Künstliche Intell., 2008

Gasteditorial KI und Kognition.
Künstliche Intell., 2008

An introduction to inductive programming.
Artif. Intell. Rev., 2008

Analysis and Evaluation of Inductive Programming Systems in a Higher-Order Framework.
Proceedings of the KI 2008: Advances in Artificial Intelligence, 2008

Classifier Learning for Imbalanced Data - a Comparison of kNN, SVM, and Decision Tree Learning.
VDM, ISBN: 978-3-8364-9223-2, 2008

2007
Transformational and derivational strategies in analogical problem solving.
Cogn. Process., 2007

Inductive Synthesis of Recursive Functional Programs.
Proceedings of the KI 2007: Advances in Artificial Intelligence, 2007

2006
Metaphors and heuristic-driven theory projection (HDTP).
Theor. Comput. Sci., 2006

Inductive Synthesis of Functional Programs: An Explanation Based Generalization Approach.
J. Mach. Learn. Res., 2006

Inducing Constructor Systems from Example-Terms by Detecting Syntactical Regularities.
Proceedings of the 7th International Workshop on Rule Based Programming, 2006

Solving Proportional Analogies by <i>E</i> -Generalization.
Proceedings of the KI 2006: Advances in Artificial Intelligence, 2006

2005
An Explanation Based Generalization Approach to Inductive Synthesis of Functional Programs.
Proceedings of the Workshop on Approaches and Applications of Inductive Programming, 2005

2004
Ontological Aspects of Computing Analogies.
Proceedings of the International Conference on Cognitive Modelling, 2004

2003
Inductive Synthesis of Functional Programs.
Künstliche Intell., 2003

Inductive Synthesis of Functional Programs, Universal Planning, Folding of Finite Programs, and Schema Abstraction by Analogical Reasoning
Lecture Notes in Computer Science 2654, Springer, ISBN: 3-540-40174-1, 2003

2002
Mitteilungen der Gesellschaft fuer Kognitionswissenschaft e.V.
Kognitionswissenschaft, 2002

Integrating Function Application in State-Based Planning.
Proceedings of the KI 2002: Advances in Artificial Intelligence, 2002

Inductive Synthesis of Functional Programs.
Proceedings of the Artificial Intelligence, 2002

2000
Inference and Visualization of Spatial Relations.
Proceedings of the Spatial Cognition II, 2000

Applying Inductive Program Synthesis to Macro Learning.
Proceedings of the Fifth International Conference on Artificial Intelligence Planning Systems, 2000

1998
Reference Frames for Spatial Inference in Text Understanding.
Proceedings of the Spatial Cognition, 1998

Induction of Recursive Program Schemes.
Proceedings of the Machine Learning: ECML-98, 1998

1997
Programmieren durch analoges Schließen .
Kognitionswissenschaft, 1997

1994
Erwerb rekursiver Programmiertechniken als Induktion von Konzepten und Regeln - ein kognitionswissenschaftlicher Zugang zum Erwerb kognitiver Fertigkeiten.
PhD thesis, 1994


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