Eyke Hüllermeier

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024

Best Arm Identification with Retroactively Increased Sampling Budget for More Resource-Efficient HPO.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Second-Order Uncertainty Quantification: A Distance-Based Approach.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: Why We Must Rethink Empirical Research in Machine Learning.

[BibT_eX]

[DOI]

Moritz Herrmann

F. Julian D. Lange

Katharina Eggensperger

Anne-Laure Boulesteix

Bernd Bischl

Proceedings of the Forty-first International Conference on Machine Learning, 2024

KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Novel Bayes' Theorem for Upper Probabilities.

[BibT_eX]

[DOI]

Proceedings of the Epistemic Uncertainty in Artificial Intelligence, 2024

SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Identifying Copeland Winners in Dueling Bandits with Indifferences.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Towards Aleatoric and Epistemic Uncertainty in Medical Image Classification.

[BibT_eX]

[DOI]

Timo Löhr

Michael Ingrisch

Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024

Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Mitigating Label Noise through Data Ambiguation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Approximating the Shapley Value without Marginal Contributions.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Incremental permutation feature importance (iPFI): towards online explanations on data streams.

[BibT_eX]

[DOI]

Mach. Learn., December, 2023

Efficient Time-Stepping for Numerical Integration Using Reinforcement Learning.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., April, 2023

Algorithm selection on a meta level.

[BibT_eX]

[DOI]

Mach. Learn., April, 2023

Multi-armed bandits with censored consumption of resources.

[BibT_eX]

[DOI]

Mach. Learn., January, 2023

Towards Green Automated Machine Learning: Status Quo and Future Directions.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2023

Automated Side-Channel Attacks using Black-Box Neural Architecture Search.

[BibT_eX]

[DOI]

Pritha Gupta

Jan Peter Drees

IACR Cryptol. ePrint Arch., 2023

A Survey of Reinforcement Learning from Human Feedback.

[BibT_eX]

[DOI]

CoRR, 2023

Probabilistic Self-supervised Learning via Scoring Rules Minimization.

[BibT_eX]

[DOI]

CoRR, 2023

Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Weighting by Tying: A New Approach to Weighted Rank Correlation.

[BibT_eX]

[DOI]

CoRR, 2023

Detecting Novelties with Empty Classes.

[BibT_eX]

[DOI]

CoRR, 2023

Optimizing Data Shapley Interaction Calculation from O(2^n) to O(t n^2) for KNN models.

[BibT_eX]

[DOI]

CoRR, 2023

Approximating the Shapley Value without Marginal Contributions.

[BibT_eX]

[DOI]

Patrick Kolpaczki

CoRR, 2023

Iterative Deepening Hyperband.

[BibT_eX]

[DOI]

CoRR, 2023

iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios.

[BibT_eX]

[DOI]

Proceedings of the Explainable Artificial Intelligence, 2023

Compare-xAI: Toward Unifying Functional Testing Methods for Post-hoc XAI Algorithms into a Multi-dimensional Benchmark.

[BibT_eX]

[DOI]

Proceedings of the Explainable Artificial Intelligence, 2023

Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures?

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Is the volume of a credal set a good measure for epistemic uncertainty?

[BibT_eX]

[DOI]

Yusuf Sale

Michele Caprio

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Property-Driven Black-Box Testing of Numeric Functions.

[BibT_eX]

[DOI]

Proceedings of the Software Engineering 2023, 2023

iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Rectifying Bias in Ordinal Observational Data Using Unimodal Label Smoothing.

[BibT_eX]

[DOI]

Stefan Haas

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

SHAP-IQ: Unified Approximation of any-order Shapley Interactions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Koopman Kernel Regression.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

UnGoML: Automated Classification of unsafe Usages in Go.

[BibT_eX]

[DOI]

Anna-Katharina Wickert

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain.

[BibT_eX]

[DOI]

Proceedings of the Lernen, 2023

Contextual Preselection Methods in Pool-based Realtime Algorithm Configuration.

[BibT_eX]

[DOI]

Proceedings of the Lernen, 2023

A Survey of Methods for Automated Algorithm Configuration (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

On Second-Order Scoring Rules for Epistemic Uncertainty Quantification.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Memorization-Dilation: Modeling Neural Collapse Under Noise.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Cooperative Co-Evolution for Ensembles of Nested Dichotomies for Multi-Class Classification.

[BibT_eX]

[DOI]

Miran Özdogan

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

On Feature Removal for Explainability in Dynamic Environments.

[BibT_eX]

[DOI]

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

Probabilistic Scoring Lists for Interpretable Machine Learning.

[BibT_eX]

[DOI]

Jonas Hanselle

Proceedings of the Discovery Science - 26th International Conference, 2023

Conformal Credal Self-Supervised Learning.

[BibT_eX]

[DOI]

Caglar Demir

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

Conformal Prediction with Partially Labeled Data.

[BibT_eX]

[DOI]

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

On the Calibration of Probabilistic Classifier Sets.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Deep Q-Learning: Theoretical Insights From an Asymptotic Analysis.

[BibT_eX]

[DOI]

Arunselvan Ramaswamy

IEEE Trans. Artif. Intell., 2022

How to measure uncertainty in uncertainty sampling for active learning.

[BibT_eX]

[DOI]

Mach. Learn., 2022

A flexible class of dependence-aware multi-label loss functions.

[BibT_eX]

[DOI]

Mach. Learn., 2022

Agnostic Explanation of Model Change based on Feature Importance.

[BibT_eX]

[DOI]

Künstliche Intell., 2022

A Survey of Methods for Automated Algorithm Configuration.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2022

Learning context-dependent choice functions.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2022

Conformal Prediction Intervals for Remaining Useful Lifetime Estimation.

[BibT_eX]

[DOI]

Alireza Javanmardi

CoRR, 2022

Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures?

[BibT_eX]

[DOI]

CoRR, 2022

Do We Need Another Explainable AI Method? Toward Unifying Post-hoc XAI Evaluation Methods into an Interactive and Multi-dimensional Benchmark.

[BibT_eX]

[DOI]

CoRR, 2022

On Calibration of Ensemble-Based Credal Predictors.

[BibT_eX]

[DOI]

CoRR, 2022

On the Difficulty of Epistemic Uncertainty Quantification in Machine Learning: The Case of Direct Uncertainty Estimation through Loss Minimisation.

[BibT_eX]

[DOI]

CoRR, 2022

Non-Stationary Dueling Bandits.

[BibT_eX]

[DOI]

Patrick Kolpaczki

CoRR, 2022

Set-valued prediction in hierarchical classification with constrained representation complexity.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Quantification of Credal Uncertainty in Machine Learning: A Critical Analysis and Empirical Comparison.

[BibT_eX]

[DOI]

Sébastien Destercke

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Levelwise Data Disambiguation by Cautious Superset Classification.

[BibT_eX]

[DOI]

Proceedings of the Scalable Uncertainty Management - 15th International Conference, 2022

Scikit-Weak: A Python Library for Weakly Supervised Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets - International Joint Conference, 2022

A Prescriptive Machine Learning Approach for Assessing Goodwill in the Automotive Domain.

[BibT_eX]

[DOI]

Stefan Haas

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Representation and quantification of uncertainty in machine learning.

[BibT_eX]

Proceedings of the Rencontres francophones sur la Logique Floue et ses Applications, 2022

Property-Driven Testing of Black-Box Functions.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE/ACM International Conference on Formal Methods in Software Engineering, 2022

Stochastic Contextual Dueling Bandits under Linear Stochastic Transitivity Models.

[BibT_eX]

[DOI]

Aadirupa Saha

Proceedings of the International Conference on Machine Learning, 2022

Automated Information Leakage Detection: A New Method Combining Machine Learning and Hypothesis Testing with an Application to Side-channel Detection in Cryptographic Protocols.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

iART - Eine Suchmaschine zur Unterstützung von bildorientierten Forschungsprozessen.

[BibT_eX]

[DOI]

Proceedings of the 8. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2022

Machine Learning for Online Algorithm Selection under Censored Feedback.

[BibT_eX]

[DOI]

Alexander Tornede

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Machine Learning With the Sugeno Integral: The Case of Binary Classification.

[BibT_eX]

[DOI]

Sadegh Abbaszadeh

IEEE Trans. Fuzzy Syst., 2021

Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., 2021

AutoML for Multi-Label Classification: Overview and Empirical Evaluation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods.

[BibT_eX]

[DOI]

Mach. Learn., 2021

On testing transitivity in online preference learning.

[BibT_eX]

[DOI]

Mach. Learn., 2021

Preference-based Online Learning with Dueling Bandits: A Survey.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2021

Multilabel Classification with Partial Abstention: Bayes-Optimal Prediction under Label Independence.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2021

Instance weighting through data imprecisiation.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2021

Rough set-based feature selection for weakly labeled data.

[BibT_eX]

[DOI]

Andrea Campagner

Davide Ciucci

Int. J. Approx. Reason., 2021

Automated Detection of Side Channels in Cryptographic Protocols: DROWN the ROBOTs!

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2021

TSK-Streams: learning TSK fuzzy systems for regression on data streams.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2021

Efficient set-valued prediction in multi-class classification.

[BibT_eX]

[DOI]

Marek Wydmuch

Data Min. Knowl. Discov., 2021

Prescriptive Machine Learning for Automated Decision Making: Challenges and Opportunities.

[BibT_eX]

[DOI]

CoRR, 2021

Automated Machine Learning, Bounded Rationality, and Rational Metareasoning.

[BibT_eX]

[DOI]

CoRR, 2021

Ensemble-based Uncertainty Quantification: Bayesian versus Credal Inference.

[BibT_eX]

[DOI]

CoRR, 2021

Annotation Uncertainty in the Context of Grammatical Change.

[BibT_eX]

[DOI]

CoRR, 2021

Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments.

[BibT_eX]

[DOI]

IEEE Access, 2021

Testification of Condorcet Winners in dueling bandits.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Gradient-Based Label Binning in Multi-label Classification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Credal Self-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Identification of the Generalized Condorcet Winner in Multi-dueling Bandits.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

iART: A Search Engine for Art-Historical Images to Support Research in the Humanities.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Identifying Top-k Players in Cooperative Games via Shapley Bandits.

[BibT_eX]

[DOI]

Patrick Kolpaczki

Proceedings of the LWDA 2021 Workshops: FGWM, 2021

On the Identifiability of Hierarchical Decision Models.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, 2021

Drift Detection in Text Data with Document Embeddings.

[BibT_eX]

[DOI]

Robert Feldhans

Adrian Wilke

Stefan Heindorf

Axel-Cyrille Ngonga Ngomo

Barbara Hammer

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

Performance Prediction for Hardware-Software Configurations: A Case Study for Video Games.

[BibT_eX]

[DOI]

Sven Peeters

Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

Analogical Embedding for Analogy-Based Learning to Rank.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

Coevolution of remaining useful lifetime estimation pipelines for automated predictive maintenance.

[BibT_eX]

[DOI]

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Ranking Structured Objects with Graph Neural Networks.

[BibT_eX]

[DOI]

Clemens Damke

Proceedings of the Discovery Science - 24th International Conference, 2021

Monocular Depth Estimation via Listwise Ranking Using the Plackett-Luce Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Robust Regression for Monocular Depth Estimation.

[BibT_eX]

[DOI]

Proceedings of the Asian Conference on Machine Learning, 2021

Single Player Monte-Carlo Tree Search Based on the Plackett-Luce Model.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

From Label Smoothing to Label Relaxation.

[BibT_eX]

[DOI]

Joanna Raczaszek-Leonardi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Multimodal Turn-Taking: Motivations, Methodological Challenges, and Novel Approaches.

[BibT_eX]

[DOI]

Katharina J. Rohlfing

Giuseppe Leonardi

Iris Nomikou

IEEE Trans. Cogn. Dev. Syst., 2020

Introduction to the special issue of the ECML PKDD 2020 journal track.

[BibT_eX]

[DOI]

Mach. Learn., 2020

OMG: A Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control.

[BibT_eX]

[DOI]

J. Open Source Softw., 2020

Generalized transitivity: A systematic comparison of concepts with an application to preferences in the Babington Smith model.

[BibT_eX]

[DOI]

Martin Kolb

Int. J. Approx. Reason., 2020

Beyond Adaptation: Understanding Distributional Changes (Dagstuhl Seminar 20372).

[BibT_eX]

[DOI]

Dagstuhl Reports, 2020

Learning Structured Declarative Rule Sets - A Challenge for Deep Discrete Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Towards Meta-Algorithm Selection.

[BibT_eX]

[DOI]

Alexander Tornede

CoRR, 2020

Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce Model.

[BibT_eX]

[DOI]

CoRR, 2020

Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control.

[BibT_eX]

[DOI]

CoRR, 2020

Online Preselection with Context Information under the Plackett-Luce Model.

[BibT_eX]

[DOI]

CoRR, 2020

Algorithm selection for software validation based on graph kernels.

[BibT_eX]

[DOI]

Cedric Richter

Marie-Christine Jakobs

Heike Wehrheim

Autom. Softw. Eng., 2020

Rule-Based Multi-label Classification: Challenges and Opportunities.

[BibT_eX]

[DOI]

Proceedings of the Rules and Reasoning - 4th International Joint Conference, 2020

AutoML for Predictive Maintenance: One Tool to RUL Them All.

[BibT_eX]

[DOI]

Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

Learning Gradient Boosted Multi-label Classification Rules.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

How to Measure Uncertainty in Uncertainty Sampling for Active Learning.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2020), 2020

Towards Analogy-Based Explanations in Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Modeling Decisions for Artificial Intelligence, 2020

Pool-Based Realtime Algorithm Configuration: A Preselection Bandit Approach.

[BibT_eX]

[DOI]

Proceedings of the Learning and Intelligent Optimization - 14th International Conference, 2020

Learning Choice Functions via Pareto-Embeddings.

[BibT_eX]

[DOI]

Karlson Pfannschmidt

Proceedings of the KI 2020: Advances in Artificial Intelligence, 2020

Conformal Rule-Based Multi-label Classification.

[BibT_eX]

[DOI]

Eneldo Loza Mencía

Proceedings of the KI 2020: Advances in Artificial Intelligence, 2020

Hybrid Ranking and Regression for Algorithm Selection.

[BibT_eX]

[DOI]

Proceedings of the KI 2020: Advances in Artificial Intelligence, 2020

Learning Tversky Similarity.

[BibT_eX]

[DOI]

Javad Rahnama

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

Feature Reduction in Superset Learning Using Rough Sets and Evidence Theory.

[BibT_eX]

[DOI]

Andrea Campagner

Davide Ciucci

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

A Neural Network-Based Driver Gaze Classification System with Vehicle Signals.

[BibT_eX]

[DOI]

Simone Dari

Nikolay Kadrileev

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Neural Representation and Learning of Hierarchical 2-additive Choquet Integrals.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-label Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

Aleatoric and Epistemic Uncertainty with Random Forests.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

Preselection Bandits.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

The Dissimilar in the Similar. An Attribute-guided Approach to the Subject-specific Classification of Art-historical Objects.

[BibT_eX]

[DOI]

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

Extreme Algorithm Selection with Dyadic Feature Representation.

[BibT_eX]

[DOI]

Alexander Tornede

Proceedings of the Discovery Science - 23rd International Conference, 2020

On Aggregation in Ensembles of Multilabel Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science - 23rd International Conference, 2020

Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis.

[BibT_eX]

[DOI]

Proceedings of The 12th Asian Conference on Machine Learning, 2020

A Novel Higher-order Weisfeiler-Lehman Graph Convolution.

[BibT_eX]

[DOI]

Clemens Damke

Proceedings of The 12th Asian Conference on Machine Learning, 2020

Reliable Multilabel Classification: Prediction with Partial Abstention.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Mining Rank Data.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2019

Choice Functions Generated by Mallows and Plackett-Luce Relations.

[BibT_eX]

[DOI]

New Math. Nat. Comput., 2019

Multi-target prediction: a unifying view on problems and methods.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2019

TSK-Streams: Learning TSK Fuzzy Systems on Data Streams.

[BibT_eX]

[DOI]

CoRR, 2019

Aleatoric and Epistemic Uncertainty in Machine Learning: A Tutorial Introduction.

[BibT_eX]

[DOI]

CoRR, 2019

Preselection Bandits under the Plackett-Luce Model.

[BibT_eX]

[DOI]

CoRR, 2019

Efficient Algorithms for Set-Valued Prediction in Multi-Class Classification.

[BibT_eX]

[DOI]

Marek Wydmuch

CoRR, 2019

Reliable Multi-label Classification: Prediction with Partial Abstention.

[BibT_eX]

[DOI]

CoRR, 2019

Learning Choice Functions.

[BibT_eX]

[DOI]

Karlson Pfannschmidt

Pritha Gupta

CoRR, 2019

Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning.

[BibT_eX]

[DOI]

IEEE Comput. Intell. Mag., 2019

Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants.

[BibT_eX]

[DOI]

Sébastien Destercke

Inés Couso

Proceedings of the Scalable Uncertainty Management - 13th International Conference, 2019

A Reduction of Label Ranking to Multiclass Classification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Analogy-Based Preference Learning with Kernels.

[BibT_eX]

[DOI]

Proceedings of the KI 2019: Advances in Artificial Intelligence, 2019

From Automated to On-The-Fly Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik, 2019

Epistemic Uncertainty Sampling.

[BibT_eX]

[DOI]

Sébastien Destercke

Proceedings of the Discovery Science - 22nd International Conference, 2019

Feature Selection for Analogy-Based Learning to Rank.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science - 22nd International Conference, 2019

Set-Valued Prediction in Multi-Class Classification.

[BibT_eX]

[DOI]

Marek Wydmuch

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA.

[BibT_eX]

[DOI]

Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018

Dyad ranking using Plackett-Luce models based on joint feature representations.

[BibT_eX]

[DOI]

Mach. Learn., 2018

ML-Plan: Automated machine learning via hierarchical planning.

[BibT_eX]

[DOI]

Mach. Learn., 2018

On the effectiveness of heuristics for learning nested dichotomies: an empirical analysis.

[BibT_eX]

[DOI]

Mach. Learn., 2018

Research Directions for Principles of Data Management (Dagstuhl Perspectives Workshop 16151).

[BibT_eX]

[DOI]

Dagstuhl Manifestos, 2018

Learning Interpretable Rules for Multi-label Classification.

[BibT_eX]

[DOI]

CoRR, 2018

Automated Multi-Label Classification based on ML-Plan.

[BibT_eX]

[DOI]

CoRR, 2018

Automated Machine Learning Service Composition.

[BibT_eX]

[DOI]

CoRR, 2018

Preference-based Online Learning with Dueling Bandits: A Survey.

[BibT_eX]

[DOI]

CoRR, 2018

Deep architectures for learning context-dependent ranking functions.

[BibT_eX]

[DOI]

Karlson Pfannschmidt

Pritha Gupta

CoRR, 2018

Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Reduction Stumps for Multi-class Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

Ranking Distributions based on Noisy Sorting.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Ensembles of evolved nested dichotomies for classification.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Preference-Based Reinforcement Learning Using Dyad Ranking.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science - 21st International Conference, 2018

Learning to Rank Based on Analogical Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

(WIP) Towards the Automated Composition of Machine Learning Services.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Services Computing, 2018

On-the-Fly Service Construction with Prototypes.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Services Computing, 2018

2017

Rank Correlation.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Preference Learning.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic.

[BibT_eX]

[DOI]

Marie Christin Platenius

IEEE Trans. Software Eng., 2017

Lexicographic preferences for predictive modeling of human decision making: A new machine learning method with an application in accounting.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2017

From knowledge-based to data-driven modeling of fuzzy rule-based systems: A critical reflection.

[BibT_eX]

[DOI]

CoRR, 2017

Predicting Rankings of Software Verification Competitions.

[BibT_eX]

[DOI]

Mike Czech

Marie-Christine Jakobs

Heike Wehrheim

CoRR, 2017

Maximum Likelihood Estimation and Coarse Data.

[BibT_eX]

[DOI]

Inés Couso

Proceedings of the Scalable Uncertainty Management - 11th International Conference, 2017

Predicting rankings of software verification tools.

[BibT_eX]

[DOI]

Mike Czech

Marie-Christine Jakobs

Heike Wehrheim

Proceedings of the 3rd ACM SIGSOFT International Workshop on Software Analytics, 2017

Learning TSK Fuzzy Rules from Data Streams.

[BibT_eX]

[DOI]

Waleri Heldt

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Annotation Challenges for Reconstructing the Structural Elaboration of Middle Low German.

[BibT_eX]

[DOI]

Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, 2017

Planning with Independent Task Networks.

[BibT_eX]

[DOI]

Theo Lettmann

Proceedings of the KI 2017: Advances in Artificial Intelligence, 2017

Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening.

[BibT_eX]

[DOI]

Inés Couso

Proceedings of the 34th International Conference on Machine Learning, 2017

Estimating relative depth in single images via rankboost.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Keynote 4: "Large-scale machine learning and extreme classification".

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Control, 2017

2016

CavSimBase: A Database for Large Scale Comparison of Protein Binding Sites.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2016

Research Directions for Principles of Data Management (Abridged).

[BibT_eX]

[DOI]

SIGMOD Rec., 2016

Special Issue on Discovery Science.

[BibT_eX]

[DOI]

Inf. Sci., 2016

Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification.

[BibT_eX]

[DOI]

BioData Min., 2016

Learning to Aggregate Using Uninorms.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Consistency of Probabilistic Classifier Trees.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Plackett-Luce Networks for Dyad Ranking.

[BibT_eX]

[DOI]

Proceedings of the Conference "Lernen, 2016

Evaluating Tests in Medical Diagnosis: Combining Machine Learning with Game-Theoretical Concepts.

[BibT_eX]

[DOI]

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016

Extreme F-measure Maximization using Sparse Probability Estimates.

[BibT_eX]

[DOI]

Kalina Jasinska

Proceedings of the 33nd International Conference on Machine Learning, 2016

Predicting the Electricity Consumption of Buildings: An Improved CBR Approach.

[BibT_eX]

[DOI]

Proceedings of the Case-Based Reasoning Research and Development, 2016

2015

Fast Fuzzy Pattern Tree Learning for Classification.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2015

Overlap Indices: Construction of and Application to Interpolative Fuzzy Systems.

[BibT_eX]

[DOI]

Santiago García-Jiménez

IEEE Trans. Fuzzy Syst., 2015

From knowledge-based to data-driven fuzzy modeling - Development, criticism, and alternative directions.

[BibT_eX]

[DOI]

Inform. Spektrum, 2015

Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study.

[BibT_eX]

[DOI]

Neurocomputing, 2015

Does machine learning need fuzzy logic?

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 2015

Editorial.

[BibT_eX]

[DOI]

Bernard De Baets

Fuzzy Sets Syst., 2015

Preference-Based Meta-Learning using Dyad Ranking: Recommending Algorithms in Cold-Start Situations.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2015 (ECMLPKDD 2015), 2015

Dyad Ranking Using A Bilinear Plackett-Luce Model.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Superset Learning Based on Generalized Loss Minimization.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Weighted Rank Correlation: A Flexible Approach Based on Fuzzy Order Relations.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Online F-Measure Optimization.

[BibT_eX]

[DOI]

Balázs Szörényi

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Qualitative Multi-Armed Bandits: A Quantile-Based Approach.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

A CBR Approach to the Angry Birds Game.

[BibT_eX]

[DOI]

Adil Paul

Proceedings of the Workshop Proceedings from The Twenty-Third International Conference on Case-Based Reasoning (ICCBR 2015), 2015

Case Base Maintenance in Preference-Based CBR.

[BibT_eX]

[DOI]

Amira Abdel-Aziz

Proceedings of the Case-Based Reasoning Research and Development, 2015

2014

Identification of Functionally Related Enzymes by Learning-to-Rank Methods.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Extended Graph-Based Models for Enhanced Similarity Search in Cavbase.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Open challenges for data stream mining research.

[BibT_eX]

[DOI]

SIGKDD Explor., 2014

Dependent binary relevance models for multi-label classification.

[BibT_eX]

[DOI]

Pattern Recognit., 2014

Guest Editors' introduction: special issue of the ECML/PKDD 2014 journal track.

[BibT_eX]

[DOI]

Mach. Learn., 2014

Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm.

[BibT_eX]

[DOI]

Mach. Learn., 2014

On the bayes-optimality of F-measure maximizers.

[BibT_eX]

[DOI]

Arkadiusz Jachnik

J. Mach. Learn. Res., 2014

Protein Sub-Cellular Localization Prediction for Special compartments via Optimized Time Series Distances.

[BibT_eX]

[DOI]

J. Bioinform. Comput. Biol., 2014

Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty.

[BibT_eX]

[DOI]

Stefan Bösner

Jörg Haasenritter

Oliver Hirsch

Norbert Donner-Banzhoff

Inf. Sci., 2014

Correlation-based embedding of pairwise score data.

[BibT_eX]

[DOI]

Kerstin Bunte

Frank-Michael Schleif

Neurocomputing, 2014

Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization".

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2014

Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2014

Visualization of evolving fuzzy rule-based systems.

[BibT_eX]

[DOI]

Evol. Syst., 2014

Preference Learning (Dagstuhl Seminar 14101).

[BibT_eX]

[DOI]

Dagstuhl Reports, 2014

Ausgewählte Beiträge des GMA-Fachausschusses 5.14 "Computational Intelligence".

[BibT_eX]

[DOI]

Frank Hoffmann

Andreas Kroll

Autom., 2014

Survival analysis on data streams: Analyzing temporal events in dynamically changing environments.

[BibT_eX]

[DOI]

Int. J. Appl. Math. Comput. Sci., 2014

Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows.

[BibT_eX]

[DOI]

Balázs Szörényi

Proceedings of the 31th International Conference on Machine Learning, 2014

Learning Solution Similarity in Preference-Based CBR.

[BibT_eX]

[DOI]

Amira Abdel-Aziz

Proceedings of the Case-Based Reasoning Research and Development, 2014

The Choquet kernel for monotone data.

[BibT_eX]

[DOI]

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

A Survey of Preference-Based Online Learning with Bandit Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory - 25th International Conference, 2014

PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences.

[BibT_eX]

[DOI]

Balázs Szörényi

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Local Clique Merging: An Extension of the Maximum Common Subgraph Measure with Applications in Structural Bioinformatics.

[BibT_eX]

[DOI]

Gerhard Klebe

Proceedings of the Algorithms from and for Nature and Life, 2013

Graph-based methods for protein structure comparison.

[BibT_eX]

[DOI]

WIREs Data Mining Knowl. Discov., 2013

Editorial: Preference learning and ranking.

[BibT_eX]

[DOI]

Mach. Learn., 2013

Extended graph-based models for enhanced similarity retrieval in Cavbase.

[BibT_eX]

[DOI]

J. Cheminformatics, 2013

Evolving fuzzy pattern trees for binary classification on data streams.

[BibT_eX]

[DOI]

Inf. Sci., 2013

On the Bayes-optimality of F-measure maximizers.

[BibT_eX]

[DOI]

CoRR, 2013

Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistance prediction.

[BibT_eX]

[DOI]

Bioinform., 2013

Neighbor Embedding by Soft Kendall Correlation.

[BibT_eX]

[DOI]

Proceedings of the 15th Eurographics Conference on Visualization, 2013

Rectifying Classifier Chains for Multi-Label Classification.

[BibT_eX]

Juan José del Coz

Proceedings of the LWA 2013. Lernen, 2013

Labelwise versus Pairwise Decomposition in Label Ranking.

[BibT_eX]

Proceedings of the LWA 2013. Lernen, 2013

Learning from Imprecise and Fuzzy Data: on the Notion of Data Disambiguation.

[BibT_eX]

Proceedings of the IJCCI 2013, 2013

Preference-Based CBR: General Ideas and Basic Principles.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2013, 2013

Fuzzy pattern trees as an alternative to rule-based fuzzy systems: Knowledge-driven, data-driven and hybrid modeling of color yield in polyester dyeing.

[BibT_eX]

[DOI]

Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

Top-k Selection based on Adaptive Sampling of Noisy Preferences.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

Preference-Based CBR: A Search-Based Problem Solving Framework.

[BibT_eX]

[DOI]

Proceedings of the Case-Based Reasoning Research and Development, 2013

Ordinal Choquistic Regression.

[BibT_eX]

[DOI]

Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, 2013

Learning to Rank Lexical Substitutions.

[BibT_eX]

[DOI]

György Szarvas

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Recovery Analysis for Adaptive Learning from Non-stationary Data Streams.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013

Rule Chains for Visualizing Evolving Fuzzy Rule-Based Systems.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013

2012

Fuzzy Rules in Data Mining: From Fuzzy Associations to Gradual Dependencies.

[BibT_eX]

[DOI]

Proceedings of the Combining Experimentation and Theory - A Hommage to Abe Mamdani, 2012

Preference Learning Using the Choquet Integral: The Case of Multipartite Ranking.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2012

Grouping, Overlap, and Generalized Bientropic Functions for Fuzzy Modeling of Pairwise Comparisons.

[BibT_eX]

[DOI]

Humberto Bustince Sola

IEEE Trans. Fuzzy Syst., 2012

Comparing Fuzzy Partitions: A Generalization of the Rand Index and Related Measures.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2012

A WEKA Interface for fMRI Data.

[BibT_eX]

[DOI]

Neuroinformatics, 2012

Learning monotone nonlinear models using the Choquet integral.

[BibT_eX]

[DOI]

Mach. Learn., 2012

Preference-based reinforcement learning: a formal framework and a policy iteration algorithm.

[BibT_eX]

[DOI]

Mach. Learn., 2012

On label dependence and loss minimization in multi-label classification.

[BibT_eX]

[DOI]

Mach. Learn., 2012

A formal and empirical analysis of the fuzzy gamma rank correlation coefficient.

[BibT_eX]

[DOI]

M. Dolores Ruiz

Inf. Sci., 2012

IBLStreams: a system for instance-based classification and regression on data streams.

[BibT_eX]

[DOI]

Evol. Syst., 2012

Fuzzy Pattern Trees: Ein alternativer Ansatz zur Fuzzy-Modellierung.

[BibT_eX]

[DOI]

Autom., 2012

F-Measure Maximization in Topical Classification.

[BibT_eX]

[DOI]

Adrian Jaroszewicz

Proceedings of the Rough Sets and Current Trends in Computing, 2012

Probability Estimation for Multi-class Classification Based on Label Ranking.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Label Ranking with Partial Abstention based on Thresholded Probabilistic Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

On the VC-Dimension of the Choquet Integral.

[BibT_eX]

[DOI]

Proceedings of the Advances on Computational Intelligence, 2012

Consistent Multilabel Ranking through Univariate Losses.

[BibT_eX]

[DOI]

Wojciech Kotlowski

Proceedings of the 29th International Conference on Machine Learning, 2012

On the Problem of Error Propagation in Classifier Chains for Multi-label Classification.

[BibT_eX]

[DOI]

Juan José del Coz

Proceedings of the Data Analysis, Machine Learning and Knowledge Discovery, 2012

An Analysis of Chaining in Multi-Label Classification.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2012, 2012

GPU-based Cloud computing for comparing the structure of protein binding sites.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Conference on Digital Ecosystems and Technologies, 2012

2011

Fuzzy machine learning and data mining.

[BibT_eX]

[DOI]

WIREs Data Mining Knowl. Discov., 2011

Top-Down Induction of Fuzzy Pattern Trees.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2011

SEGA: Semiglobal Graph Alignment for Structure-Based Protein Comparison.

[BibT_eX]

[DOI]

Marco Mernberger

Gerhard Klebe

IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Superposition and Alignment of Labeled Point Clouds.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Label Ranking with Abstention: Predicting Partial Orders by Thresholding Probability Distributions (Extended Abstract)

[BibT_eX]

[DOI]

CoRR, 2011

Fuzzy sets in machine learning and data mining.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2011

Preferences in AI: An overview.

[BibT_eX]

[DOI]

Artif. Intell., 2011

Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

An Exact Algorithm for F-Measure Maximization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Bipartite Ranking through Minimization of Univariate Loss.

[BibT_eX]

[DOI]

Wojciech Kotlowski

Proceedings of the 28th International Conference on Machine Learning, 2011

Preference-Based CBR: First Steps toward a Methodological Framework.

[BibT_eX]

[DOI]

Patrice Schlegel

Proceedings of the Case-Based Reasoning Research and Development, 2011

Choquistic Regression: Generalizing Logistic Regression using the Choquet Integral.

[BibT_eX]

[DOI]

Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology, 2011

On-line Redundancy Elimination in Evolving Fuzzy Regression Models using a Fuzzy Inclusion Measure.

[BibT_eX]

[DOI]

Edwin Lughofer

Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology, 2011

Learning from Label Preferences.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory - 22nd International Conference, 2011

2010

An Analysis of the FURIA Algorithm for Fuzzy Rule Induction.

[BibT_eX]

[DOI]

Jens Christian Hühn

Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010

Preference Learning.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning, 2010

Combining predictions in pairwise classification: An optimal adaptive voting strategy and its relation to weighted voting.

[BibT_eX]

[DOI]

Pattern Recognit., 2010

On predictive accuracy and risk minimization in pairwise label ranking.

[BibT_eX]

[DOI]

J. Comput. Syst. Sci., 2010

GARLig: A Fully Automated Tool for Subset Selection of Large Fragment Spaces via a Self-Adaptive Genetic Algorithm.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2010

Uncertainty in Clustering and Classification.

[BibT_eX]

[DOI]

Proceedings of the Scalable Uncertainty Management - 4th International Conference, 2010

Mining Gradual Dependencies Based on Fuzzy Rank Correlation.

[BibT_eX]

[DOI]

Hyung-Won Koh

Proceedings of the Combining Soft Computing and Statistical Methods in Data Analysis, 2010

Regret Analysis for Performance Metrics in Multi-Label Classification: The Case of Hamming and Subset Zero-One Loss.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Predicting Partial Orders: Ranking with Abstention.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Bayes Optimal Multilabel Classification via Probabilistic Classifier Chains.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Graded Multilabel Classification: The Ordinal Case.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Label Ranking Methods based on the Plackett-Luce Model.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Efficient Similarity Retrieval of Protein Binding Sites based on Histogram Comparison.

[BibT_eX]

[DOI]

Proceedings of the German Conference on Bioinformatics 2010, 2010

Pattern trees for regression and fuzzy systems modeling.

[BibT_eX]

[DOI]

Proceedings of the FUZZ-IEEE 2010, 2010

Similarity measures for protein structures based on fuzzy histogram comparison.

[BibT_eX]

[DOI]

Proceedings of the FUZZ-IEEE 2010, 2010

Preference Learning and Ranking by Pairwise Comparison.

[BibT_eX]

[DOI]

Proceedings of the Preference Learning., 2010

Preference Learning: An Introduction.

[BibT_eX]

[DOI]

Proceedings of the Preference Learning., 2010

2009

Fuzzy Methods in Data Mining.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Why Fuzzy Decision Trees are Good Rankers.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2009

FR3: A Fuzzy Rule Learner for Inducing Reliable Classifiers.

[BibT_eX]

[DOI]

Jens C. Huhn

IEEE Trans. Fuzzy Syst., 2009

Combining instance-based learning and logistic regression for multilabel classification.

[BibT_eX]

[DOI]

Mach. Learn., 2009

Supporting Case-Based Retrieval by Similarity Skyline.

[BibT_eX]

[DOI]

Künstliche Intell., 2009

Fuzzy Operator Trees for Modeling Rating Functions.

[BibT_eX]

[DOI]

Yu Yi

Int. J. Comput. Intell. Appl., 2009

Prelude to the papers "Fuzzy case based reasoning for facial expression recognition" and "Temporal similarity by measuring possibilistic uncertainty in CBR".

[BibT_eX]

[DOI]

Michael M. Richter

Rosina Weber

Fuzzy Sets Syst., 2009

FURIA: an algorithm for unordered fuzzy rule induction.

[BibT_eX]

[DOI]

Jens Christian Hühn

Data Min. Knowl. Discov., 2009

Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules.

[BibT_eX]

[DOI]

Bioinform., 2009

Binary Decomposition Methods for Multipartite Ranking.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Learning Pattern Tree Classifiers Using a Co-Evolutionary Algorithm.

[BibT_eX]

Proceedings of the LWA 2009: Workshop-Woche: Lernen, 2009

Extension and Empirical Comparison of Graph-Kernels for the Analysis of Protein Active Sites.

[BibT_eX]

Proceedings of the LWA 2009: Workshop-Woche: Lernen, 2009

A New Instance-Based Label Ranking Approach Using the Mallows Model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks, 2009

Efficient Construction of Multiple Geometrical Alignments for the Comparison of Protein Binding Sites.

[BibT_eX]

[DOI]

Gerhard Klebe

Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Similarity Analysis of Protein Binding Sites: A Generalization of the Maximum Common Subgraph Measure Based on Quasi-Clique Detection.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Decision tree and instance-based learning for label ranking.

[BibT_eX]

[DOI]

Jens C. Huhn

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Graph-Kernels for the Comparative Analysis of Protein Active Sites.

[BibT_eX]

[DOI]

Proceedings of the German Conference on Bioinformatics 2009, 2009

A Fuzzy Variant of the Rand Index for Comparing Clustering Structures.

[BibT_eX]

[DOI]

Maria Rifqi

Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

Fuzzy Modeling of Labeled Point Cloud Superposition for the Comparison of Protein Binding Sites.

[BibT_eX]

[DOI]

Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

2008

Fuzzy Methods for Data Mining and Machine Learning: State ofthe Art and Prospects.

[BibT_eX]

[DOI]

Proceedings of the Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, 2008

A critical analysis of variants of the AUC.

[BibT_eX]

[DOI]

Mach. Learn., 2008

Multilabel classification via calibrated label ranking.

[BibT_eX]

[DOI]

Mach. Learn., 2008

Case-based learning in a bipolar possibilistic framework.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2008

Is an ordinal class structure useful in classifier learning?

[BibT_eX]

[DOI]

Jens C. Huhn

Int. J. Data Min. Model. Manag., 2008

Learning valued preference structures for solving classification problems.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 2008

Label ranking by learning pairwise preferences.

[BibT_eX]

[DOI]

Artif. Intell., 2008

Weighted Voting as Approximate MAP Prediction in Pairwise Classification.

[BibT_eX]

Proceedings of the LWA 2008, 2008

Evolutionary Construction of Multiple Graph Alignments for Mining Structured Biomolecular Data.

[BibT_eX]

Marco Mernberger

Proceedings of the LWA 2008, 2008

Evolutionary Construction of Multiple Graph Alignments for the Structural Analysis of Biomolecules.

[BibT_eX]

[DOI]

Marco Mernberger

Proceedings of the German Conference on Bioinformatics, 2008

Supporting Case-Based Retrieval by Similarity Skylines: Basic Concepts and Extensions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Case-Based Reasoning, 9th European Conference, 2008

Preface: Uncertainty, Similarity, and Knowledge Discovery in CBR.

[BibT_eX]

Proceedings of the ECCBR 2008, 2008

Learning Similarity Functions from Qualitative Feedback.

[BibT_eX]

[DOI]

Proceedings of the Advances in Case-Based Reasoning, 9th European Conference, 2008

Instance-Based Label Ranking using the Mallows Model.

[BibT_eX]

Proceedings of the ECCBR 2008, 2008

2007

In Defense of Fuzzy Association Analysis.

[BibT_eX]

[DOI]

Yu Yi

IEEE Trans. Syst. Man Cybern. Part B, 2007

Credible Case-Based Inference Using Similarity Profiles.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2007

Multiple Graph Alignment for the Structural Analysis of Protein Active Sites.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2007

A fuzzy-probabilistic earthquake risk assessment system.

[BibT_eX]

[DOI]

Iman Karimi

Konstantin Meskouris

Soft Comput., 2007

Special Issue on Soft Computing for Information Mining.

[BibT_eX]

[DOI]

Soft Comput., 2007

Editorial.

[BibT_eX]

[DOI]

Frank Klawonn

Andreas Nürnberger

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2007

Comparing probability measures using possibility theory: A notion of relative peakedness.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2007

Efficient instance-based learning on data streams.

[BibT_eX]

[DOI]

Intell. Data Anal., 2007

Risk assessment system of natural hazards: A new approach based on fuzzy probability.

[BibT_eX]

[DOI]

Iman Karimi

Fuzzy Sets Syst., 2007

Interactive Ranking of Skylines Using Machine Learning Techniques.

[BibT_eX]

Proceedings of the LWA 2007: Lernen - Wissen, 2007

An Efficient Algorithm for Instance-Based Learning on Data Streams.

[BibT_eX]

[DOI]

Proceedings of the Advances in Data Mining. Theoretical Aspects and Applications, 2007

Case-Based Multilabel Ranking.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2007, 2007

Label Ranking in Case-Based Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Case-Based Reasoning Research and Development, 2007

Graph Alignment: Fuzzy Pattern Mining for the Structural Analysis of Protein Active Sites.

[BibT_eX]

[DOI]

Proceedings of the FUZZ-IEEE 2007, 2007

Adaptive Optimization of the Number of Clusters in Fuzzy Clustering.

[BibT_eX]

[DOI]

Proceedings of the FUZZ-IEEE 2007, 2007

Fuzzy-Relational Classification: Combining Pairwise Decomposition Techniques with Fuzzy Preference Modeling.

[BibT_eX]

[DOI]

Proceedings of the New Dimensions in Fuzzy Logic and Related Technologies. Proceedings of the 5th EUSFLAT Conference, 2007

On Pairwise Naive Bayes Classifiers.

[BibT_eX]

[DOI]

Jan-Nikolas Sulzmann

Proceedings of the Machine Learning: ECML 2007, 2007

On Minimizing the Position Error in Label Ranking.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2007, 2007

Case-Based Approximate Reasoning

[BibT_eX]

[DOI]

Theory and Decision Library 44, Springer, ISBN: 978-1-4020-5694-9, 2007

2006

Fuzzy methods for case-based recommendation and decision support.

[BibT_eX]

[DOI]

J. Intell. Inf. Syst., 2006

Learning from ambiguously labeled examples.

[BibT_eX]

[DOI]

Intell. Data Anal., 2006

Online clustering of parallel data streams.

[BibT_eX]

[DOI]

Data Knowl. Eng., 2006

A systematic approach to the assessment of fuzzy association rules.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2006

Hierarchical Classification by Expected Utility Maximization.

[BibT_eX]

[DOI]

Korinna Bade

Andreas Nürnberger

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Case-Based Label Ranking.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2006, 2006

A Unified Model for Multilabel Classification and Ranking.

[BibT_eX]

Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

2005

Experience-Based Decision Making: A Satisficing Decision Tree Approach.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part A, 2005

Preference Learning.

[BibT_eX]

[DOI]

Künstliche Intell., 2005

Fuzzy methods in machine learning and data mining: Status and prospects.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 2005

Special issue on fuzzy sets in knowledge discovery.

[BibT_eX]

[DOI]

Rajarajeswari Balasubramaniyan

Fuzzy Sets Syst., 2005

Clustering of gene expression data using a local shape-based similarity measure.

[BibT_eX]

[DOI]

Nils Weskamp

Jörg Kämper

Bioinform., 2005

On Position Error and Label Ranking through Iterated Choice.

[BibT_eX]

Proceedings of the Lernen, 2005

Cho-k-NN: A Method for Combining Interacting Pieces of Evidence in Case-Based Learning.

[BibT_eX]

[DOI]

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Learning Label Preferences: Ranking Error Versus Position Error.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis VI, 2005

Learning Complexity-Bounded Rule-Based Classifiers by Combining. Association Analysis and Genetic Algorithms.

[BibT_eX]

[DOI]

Yu Yi

Proceedings of the Joint 4th Conference of the European Society for Fuzzy Logic and Technology and the 11th Rencontres Francophones sur la Logique Floue et ses Applications, 2005

Improving the interpretability of data-driven evolving fuzzy systems.

[BibT_eX]

[DOI]

Edwin Lughofer

Erich-Peter Klement

Proceedings of the Joint 4th Conference of the European Society for Fuzzy Logic and Technology and the 11th Rencontres Francophones sur la Logique Floue et ses Applications, 2005

A Notion of Comparative Probabilistic Entropy Based on the Possibilistic Specificity Ordering.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

2004

26. Jahrestagung Künstliche Intelligenz (KI-2003).

[BibT_eX]

[DOI]

Künstliche Intell., 2004

Flexible constraints for regularization in learning from data.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2004

Efficient similarity search in protein structure databases by k-clique hashing.

[BibT_eX]

[DOI]

Bioinform., 2004

Graph Alignments: A New Concept to Detect Conserved Regions in Protein Active Sites.

[BibT_eX]

[DOI]

Proceedings of the German Conference on Bioinformatics (GCB 2004), Bielefeld, 2004

Fuzzy Methods in Knowledge Discovery.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence, Theory and Applications, International Conference 8th Fuzzy Days, Dortmund, Germany, Sept. 29, 2004

Ranking by pairwise comparison a note on risk minimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

Instance-Based Prediction with Guaranteed Confidence.

[BibT_eX]

Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2003

On the representation of fuzzy rules in terms of crisp rules.

[BibT_eX]

[DOI]

Inf. Sci., 2003

Flexibility and Fuzzy Case-Based Evaluation in Querying: An Illustration in an Experimental Setting.

[BibT_eX]

[DOI]

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2003

Possibilistic instance-based learning.

[BibT_eX]

[DOI]

Artif. Intell., 2003

Instance-Based Learning of Credible Label Sets.

[BibT_eX]

[DOI]

Proceedings of the KI 2003: Advances in Artificial Intelligence, 2003

Inducing Fuzzy Concepts through Extended Version Space Learning.

[BibT_eX]

[DOI]

Proceedings of the Fuzzy Sets and Systems - IFSA 2003, 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, June 30, 2003

A Note on Quality Measures for Fuzzy Asscociation Rules.

[BibT_eX]

[DOI]

Proceedings of the Fuzzy Sets and Systems - IFSA 2003, 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, June 30, 2003

Regularized Learning with Flexible Constraints.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis V, 2003

Efficient Similarity Search in Protein Structure Databases: Improving Cliqae-Detection through Clique Hashing.

[BibT_eX]

Proceedings of the German Conference on Bioinformatics, 2003

Instance-based collaborative filtering with fuzzy labels.

[BibT_eX]

[DOI]

Proceedings of the 3rd Conference of the European Society for Fuzzy Logic and Technology, 2003

Pairwise Preference Learning and Ranking.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2003, 2003

Sequential Decision Making in Heuristic Search.

[BibT_eX]

[DOI]

Proceedings of the Planning Based on Decision Theory, 2003

2002

Model adaptation in possibilistic instance-based reasoning.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2002

Fuzzy set-based methods in instance-based reasoning.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2002

Association Rules for Expressing Gradual Dependencies.

[BibT_eX]

[DOI]

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

A Fuzzy Approach to Flexible Case-based Querying: Methodology and Experimentation.

[BibT_eX]

Proceedings of the Eights International Conference on Principles and Knowledge Representation and Reasoning (KR-02), 2002

Exploiting similarity and experience in decision making.

[BibT_eX]

[DOI]

Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

Case-based querying and prediction: a fuzzy set approach.

[BibT_eX]

[DOI]

Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

Possibilistic Induction in Decision-Tree Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2002, 2002

On the Representation and Combination of Evidence in Instance-Based Learning.

[BibT_eX]

Proceedings of the 15th European Conference on Artificial Intelligence, 2002

2001

Similarity-based inference as evidential reasoning.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2001

Implication-Based Fuzzy Association Rules.

[BibT_eX]

[DOI]

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2001

Fuzzy Association Rules: Semantic Issues and Quality Measures.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence, 2001

Formalizing Case Based Inference Using Fuzzy Rules.

[BibT_eX]

[DOI]

Proceedings of the Soft Computing in Case Based Reasoning, 2001

2000

A Method for Predicting Solutions in Case-Based Problem Solving.

[BibT_eX]

[DOI]

Proceedings of the Advances in Case-Based Reasoning, 5th European Workshop, 2000

Flexible Control of Case-Based Prediction in the Framework of Possibility Theory.

[BibT_eX]

[DOI]

Proceedings of the Advances in Case-Based Reasoning, 5th European Workshop, 2000

Similarity-based Inference as Evitential Reasoning.

[BibT_eX]

Proceedings of the ECAI 2000, 2000

Focusing Search by Using Problem Solving Experience.

[BibT_eX]

Proceedings of the ECAI 2000, 2000

Change Detection in Heuristic Search.

[BibT_eX]

[DOI]

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999

Numerical Methods for Fuzzy Initial Value Problems.

[BibT_eX]

[DOI]

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1999

Approximation of uncertain functional relationships.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 1999

Toward a Probabilistic Formalization of Case-Based Inference.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Exploiting Similarity for Supporting Data Analysis and Problem Solving.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis, Third International Symposium, 1999

A Possibilistic Formalization of Case-Based Reasoning and Decision Making.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence, 1999

1997

Reasoning about systems based on incomplete and uncertain models.

[BibT_eX]

[DOI]

PhD thesis, 1997

An Approach to Modelling and Simulation of Uncertain Dynamical Systems.

[BibT_eX]

[DOI]