Eyke Hüllermeier

Q: What Schools Are Affiliated With Eyke Hüllermeier

Eyke Hüllermeier is affiliated with the following schools: Otto von Guericke University Magdeburg, University of Marburg, Ludwig Maximilian University of Munich, Paderborn University

Eyke Hüllermeier's AcademicInfluence.com Rankings

Eyke Hüllermeier

Computer Science

#4705

World Rank

#4968

Historical Rank

Machine Learning

#1016

World Rank

#1031

Historical Rank

Database

#1911

World Rank

#2006

Historical Rank

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Computer Science

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Eyke Hüllermeier's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Multilabel classification via calibrated label ranking (2008) (800)
Label ranking by learning pairwise preferences (2008) (538)
Bayes Optimal Multilabel Classification via Probabilistic Classifier Chains (2010) (471)
Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods (2019) (437)
Combining instance-based learning and logistic regression for multilabel classification (2009) (426)
FURIA: an algorithm for unordered fuzzy rule induction (2009) (394)
An Approach to Modelling and Simulation of Uncertain Dynamical Systems (1997) (350)
On label dependence and loss minimization in multi-label classification (2012) (295)
Preference Learning (2005) (279)
Online clustering of parallel data streams (2006) (274)
Open challenges for data stream mining research (2014) (259)
Pairwise Preference Learning and Ranking (2003) (236)
Fuzzy methods in machine learning and data mining: Status and prospects (2005) (214)
Grouping, Overlap, and Generalized Bientropic Functions for Fuzzy Modeling of Pairwise Comparisons (2012) (207)
Preferences in AI: An overview (2011) (205)
A systematic approach to the assessment of fuzzy association rules (2006) (204)
Learning from ambiguously labeled examples (2005) (181)
Decision tree and instance-based learning for label ranking (2009) (140)
Dependent binary relevance models for multi-label classification (2014) (133)
ML-Plan: Automated machine learning via hierarchical planning (2018) (130)
Combining predictions in pairwise classification: An optimal adaptive voting strategy and its relation to weighted voting (2010) (125)
A Unified Model for Multilabel Classification and Ranking (2006) (125)
Clustering of gene expression data using a local shape-based similarity measure (2005) (123)
Learning monotone nonlinear models using the Choquet integral (2011) (120)
Risk assessment system of natural hazards: A new approach based on fuzzy probability (2007) (117)
Preference Learning: An Introduction (2010) (115)
An Exact Algorithm for F-Measure Maximization (2011) (112)
Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty (2014) (109)
Preference-based reinforcement learning: a formal framework and a policy iteration algorithm (2012) (107)
Computational Intelligence for Knowledge-Based Systems Design, 13th International Conference on Information Processing and Management of Uncertainty, IPMU 2010, Dortmund, Germany, June 28 - July 2, 2010. Proceedings (2010) (107)
Fuzzy sets in machine learning and data mining (2011) (105)
Comparing Fuzzy Partitions: A Generalization of the Rand Index and Related Measures (2012) (102)
FR3: A Fuzzy Rule Learner for Inducing Reliable Classifiers (2009) (101)
On the bayes-optimality of F-measure maximizers (2013) (99)
Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization (2013) (97)
From the Similarity Analysis of Protein Cavities to the Functional Classification of Protein Families Using Cavbase (2006) (95)
Learning valued preference structures for solving classification problems (2008) (95)
Extreme F-measure Maximization using Sparse Probability Estimates (2016) (93)
Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization (2013) (92)
Label Ranking Methods based on the Plackett-Luce Model (2010) (91)
Preference Learning and Ranking by Pairwise Comparison (2010) (90)
Association Rules for Expressing Gradual Dependencies (2002) (88)
Bipartite Ranking through Minimization of Univariate Loss (2011) (85)
A Note on Quality Measures for Fuzzy Asscociation Rules (2003) (84)
Binary Decomposition Methods for Multipartite Ranking (2009) (79)
Functional Classification of Protein Kinase Binding Sites Using Cavbase (2007) (78)
IBLStreams: a system for instance-based classification and regression on data streams (2012) (73)
Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach (2015) (73)
Case-Based Multilabel Ranking (2007) (73)
Numerical Methods for Fuzzy Initial Value Problems (1999) (73)
Top-Down Induction of Fuzzy Pattern Trees (2011) (70)
Efficient instance-based learning on data streams (2007) (69)
Case-Based Approximate Reasoning (2007) (69)
Top-k Selection based on Adaptive Sampling of Noisy Preferences (2013) (68)
Does machine learning need fuzzy logic? (2015) (67)
Aleatoric and Epistemic Uncertainty in Machine Learning: A Tutorial Introduction (2019) (65)
A Fuzzy Variant of the Rand Index for Comparing Clustering Structures (2009) (64)
Preference Learning Using the Choquet Integral: The Case of Multipartite Ranking (2012) (63)
Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistance prediction (2013) (62)
On label dependence in multilabel classification (2010) (62)
Is an ordinal class structure useful in classifier learning? (2008) (60)
Implication-Based Fuzzy Association Rules (2001) (60)
Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows (2014) (59)
2018 IEEE International Conference on Data Mining (ICDM) (2018) (59)
Predicting Partial Orders: Ranking with Abstention (2010) (59)
Multi-target prediction: a unifying view on problems and methods (2018) (57)
Physicochemical descriptors to discriminate protein–protein interactions in permanent and transient complexes selected by means of machine learning algorithms (2006) (57)
On the Problem of Error Propagation in Classifier Chains for Multi-label Classification (2012) (55)
Efficient similarity search in protein structure databases by k-clique hashing (2004) (54)
An Analysis of Chaining in Multi-Label Classification (2012) (53)
Regret Analysis for Performance Metrics in Multi-Label Classification: The Case of Hamming and Subset Zero-One Loss (2010) (51)
Fuzzy set-based methods in instance-based reasoning (2002) (51)
Multiple Graph Alignment for the Structural Analysis of Protein Active Sites (2007) (51)
Graded Multilabel Classification: The Ordinal Case (2010) (48)
Why Fuzzy Decision Trees are Good Rankers (2009) (48)
Preference-based Online Learning with Dueling Bandits: A Survey (2018) (47)
In Defense of Fuzzy Association Analysis (2007) (45)
Qualitative Multi-Armed Bandits: A Quantile-Based Approach (2015) (45)
Superset Learning Based on Generalized Loss Minimization (2015) (45)
A Survey of Preference-Based Online Learning with Bandit Algorithms (2014) (44)
A critical analysis of variants of the AUC (2008) (42)
Flexibility and Fuzzy Case-Based Evaluation in Querying: An Illustration in an Experimental Setting (2003) (42)
Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning (2011) (42)
Label Ranking with Partial Abstention based on Thresholded Probabilistic Models (2012) (41)
Merging chemical and biological space: Structural mapping of enzyme binding pocket space (2009) (39)
Evolving fuzzy pattern trees for binary classification on data streams (2013) (38)
Possibilistic instance-based learning (2003) (38)
Comparing probability measures using possibility theory: A notion of relative peakedness (2007) (37)
Comparison of Ranking Procedures in Pairwise Preference Learning (2004) (35)
Rectifying Classifier Chains for Multi-Label Classification (2019) (35)
Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm (2014) (35)
Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study (2015) (34)
Consistent Multilabel Ranking through Univariate Losses (2012) (34)
On Pairwise Naive Bayes Classifiers (2007) (34)
Possibilistic Induction in Decision-Tree Learning (2002) (34)
Online F-Measure Optimization (2015) (33)
Aleatoric and Epistemic Uncertainty with Random Forests (2020) (33)
Case-Based Approximate Reasoning (Theory and Decision Library B) (2007) (33)
On predictive accuracy and risk minimization in pairwise label ranking (2010) (32)
Toward a Probabilistic Formalization of Case-Based Inference (1999) (32)
Fuzzy methods for case-based recommendation and decision support (2006) (31)
Evolutionary Construction of Multiple Graph Alignments for the Structural Analysis of Biomolecules (2009) (31)
How to measure uncertainty in uncertainty sampling for active learning (2021) (30)
Similarity-based inference as evidential reasoning (2000) (30)
Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning (2019) (29)
An Analysis of the FURIA Algorithm for Fuzzy Rule Induction (2010) (29)
Research Directions for Principles of Data Management (Dagstuhl Perspectives Workshop 16151) (2017) (29)
Efficient Learning of Classifiers Based on the 2-Additive Choquet Integral (2013) (29)
Improving the interpretability of data-driven evolving fuzzy systems (2005) (28)
Mining implication-based fuzzy association rules in databases (2003) (28)
ChatGPT for good? On opportunities and challenges of large language models for education (2023) (27)
Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification (2016) (27)
From Label Smoothing to Label Relaxation (2021) (26)
Learning Similarity Functions from Qualitative Feedback (2008) (25)
On the representation of fuzzy rules in terms of crisp rules (2003) (25)
Fuzzy Clustering of Parallel Data Streams (2007) (25)
Ranking by pairwise comparison a note on risk minimization (2004) (24)
PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences (2014) (23)
A New Instance-Based Label Ranking Approach Using the Mallows Model (2009) (23)
Fuzzy Operator Trees for Modeling Rating Functions (2009) (23)
Fuzzy Association Rules: Semantic Issues and Quality Measures (2001) (23)
Lexicographic preferences for predictive modeling of human decision making: A new machine learning method with an application in accounting (2017) (22)
Case-Based Label Ranking (2006) (22)
Fast Fuzzy Pattern Tree Learning for Classification (2015) (22)
Credible Case-Based Inference Using Similarity Profiles (2007) (22)
Learning to Rank Lexical Substitutions (2013) (21)
Learning Conditional Lexicographic Preference Trees (2014) (21)
Research Directions for Principles of Data Management (Abridged) (2017) (21)
Epistemic Uncertainty Sampling (2019) (21)
Preference-Based CBR: First Steps toward a Methodological Framework (2011) (20)
IBLStreams: a system for instance-based classification and regression on data streams (2012) (20)
Predicting rankings of software verification tools (2017) (20)
Choquistic Regression: Generalizing Logistic Regression using the Choquet Integral (2011) (20)
ML-Plan for Unlimited-Length Machine Learning Pipelines (2018) (20)
Learning Label Preferences: Ranking Error Versus Position Error (2005) (20)
Learning to Rank based on Analogical Reasoning (2017) (20)
Learning Gradient Boosted Multi-label Classification Rules (2020) (19)
Labelwise versus Pairwise Decomposition in Label Ranking (2013) (19)
A formal and empirical analysis of the fuzzy gamma rank correlation coefficient (2012) (19)
Overlap Indices: Construction of and Application to Interpolative Fuzzy Systems (2015) (19)
Adaptive Optimization of the Number of Clusters in Fuzzy Clustering (2007) (19)
Extreme Algorithm Selection With Dyadic Feature Representation (2020) (18)
Experience-Based Decision Making: A Satisficing Decision Tree Approach (2005) (18)
Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty (2018) (18)
Interactive Q-Learning with Ordinal Rewards and Unreliable Tutor (2013) (18)
An Efficient Algorithm for Instance-Based Learning on Data Streams (2007) (18)
Pattern trees for regression and fuzzy systems modeling (2010) (18)
Mining Gradual Dependencies Based on Fuzzy Rank Correlation (2010) (18)
Ordinal Choquistic Regression (2013) (18)
On-line Redundancy Elimination in Evolving Fuzzy Regression Models using a Fuzzy Inclusion Measure (2011) (18)
Consistency of Probabilistic Classifier Trees (2016) (18)
Chest pain in primary care: is the localization of pain diagnostically helpful in the critical evaluation of patients? - A cross sectional study (2013) (18)
From knowledge-based to data-driven fuzzy modeling (2015) (17)
Model adaptation in possibilistic instance-based reasoning (2002) (17)
Dyad ranking using Plackett–Luce models based on joint feature representations (2018) (17)
A Simple Instance-Based Approach to Multilabel Classification Using the Mallows Model (2009) (16)
Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening (2017) (16)
Superposition and Alignment of Labeled Point Clouds (2011) (16)
Similarity measures for protein structures based on fuzzy histogram comparison (2010) (16)
Mining Rank Data (2014) (16)
On the effectiveness of heuristics for learning nested dichotomies: an empirical analysis (2018) (15)
Dyad Ranking Using a Bilinear Plackett-Luce Model (2015) (15)
Flexible Control of Case-Based Prediction in the Framework of Possibility Theory (2000) (15)
Efficient set-valued prediction in multi-class classification (2019) (15)
On Minimizing the Position Error in Label Ranking (2007) (15)
Preference-based Evolutionary Direct Policy Search (2013) (15)
Supporting Case-Based Retrieval by Similarity Skyline (2008) (15)
Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants (2019) (14)
GARLig: A Fully Automated Tool for Subset Selection of Large Fragment Spaces via a Self-Adaptive Genetic Algorithm (2010) (14)
A fuzzy-probabilistic earthquake risk assessment system (2006) (14)
Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems (2021) (14)
Consistent multilabel ranking through univariate loss minimization (2012) (14)
Plan Recognition (2010) (14)
SEGA: Semiglobal Graph Alignment for Structure-Based Protein Comparison (2011) (14)
Uncertainty in Clustering and Classification (2010) (14)
A Fuzzy Approach to Flexible Case-based Querying: Methodology and Experimentation (2002) (13)
Visualization of evolving fuzzy rule-based systems (2014) (13)
A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart (2018) (13)
Extended Graph-Based Models for Enhanced Similarity Search in Cavbase (2014) (13)
GPU-based Cloud computing for comparing the structure of protein binding sites (2012) (13)
Multivariate modeling to identify patterns in clinical data: the example of chest pain (2011) (12)
Automated Multi-Label Classification based on ML-Plan (2018) (12)
Cho-k-NN: A Method for Combining Interacting Pieces of Evidence in Case-Based Learning (2005) (11)
Rough set-based feature selection for weakly labeled data (2021) (11)
Label Ranking in Case-Based Reasoning (2007) (11)
Multimodal Turn-Taking: Motivations, Methodological Challenges, and Novel Approaches (2020) (11)
Reliable Multi-label Classification: Prediction with Partial Abstention (2019) (11)
Instance-Based Label Ranking using the Mallows Model (2008) (11)
Learning Interpretable Rules for Multi-label Classification (2018) (10)
AutoML for Predictive Maintenance: One Tool to RUL Them All (2020) (10)
Learning Solution Similarity in Preference-Based CBR (2014) (10)
Fuzzy machine learning and data mininga (2011) (10)
Process-Based Modeling (2010) (10)
Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic (2017) (10)
Graph Alignments: A New Concept to Detect Conserved Regions in Protein Active Sites (2004) (10)
Similarity Analysis of Protein Binding Sites: A Generalization of the Maximum Common Subgraph Measure Based on Quasi-Clique Detection (2009) (10)
Automating Multi-Label Classification Extending ML-Plan (2019) (10)
Learning Complexity-Bounded Rule-Based Classifiers by Combining. Association Analysis and Genetic Algorithms (2005) (10)
Learning to Aggregate Using Uninorms (2016) (9)
Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking (2019) (9)
Recovery Analysis for Adaptive Learning from Non-stationary Data Streams (2013) (9)
F-Measure Maximization in Topical Classification (2012) (9)
Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control (2020) (9)
Formalizing Case Based Inference Using Fuzzy Rules (2000) (9)
(WIP) Towards the Automated Composition of Machine Learning Services (2018) (8)
On Aggregation in Ensembles of Multilabel Classifiers (2020) (8)
An evolutionary approach to constraint-regularized learning (2004) (8)
Ensembles of evolved nested dichotomies for classification (2018) (8)
A Novel Higher-order Weisfeiler-Lehman Graph Convolution (2020) (8)
Algorithm selection for software validation based on graph kernels (2020) (8)
Research Directions for Principles of Data Management (2018) (8)
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis (2020) (8)
A Notion of Comparative Probabilistic Entropy Based on the Possibilistic Specificity Ordering (2005) (8)
Survival analysis on data streams: Analyzing temporal events in dynamically changing environments (2014) (8)
Pairwise versus Pointwise Ranking: A Case Study (2017) (8)
Deep architectures for learning context-dependent ranking functions (2018) (8)
Editorial: Preference learning and ranking (2013) (8)
Maximum Likelihood Estimation and Coarse Data (2017) (8)
Preference-Based CBR: A Search-Based Problem Solving Framework (2013) (8)
A WEKA Interface for fMRI Data (2012) (8)
CavSimBase: A Database for Large Scale Comparison of Protein Binding Sites (2016) (8)
Special issue celebrating the 50th anniversary of fuzzy sets (2015) (7)
Preference-based Learning of Ideal Solutions in TOPSIS-like Decision Models (2015) (7)
Case‐based learning in a bipolar possibilistic framework (2008) (7)
Local Clique Merging: An Extension of the Maximum Common Subgraph Measure with Applications in Structural Bioinformatics (2013) (7)
Annotation Challenges for Reconstructing the Structural Elaboration of Middle Low German (2017) (7)
Extension and Empirical Comparison of Graph-Kernels for the Analysis of Protein Active Sites (2009) (7)
Graph‐based methods for protein structure comparison (2013) (7)
On the VC-Dimension of the Choquet Integral (2012) (7)
Knowledge-based extrapolation of cases: a possibilistic approach (2002) (7)
2006 reviewers list (2007) (7)
The comprehensive diagnostic study is suggested as a design to model the diagnostic process. (2014) (7)
Coevolution of remaining useful lifetime estimation pipelines for automated predictive maintenance (2021) (7)
Automated Machine Learning Service Composition (2018) (7)
Weighted Rank Correlation: A Flexible Approach Based on Fuzzy Order Relations (2015) (7)
Fingerprint Kernels for Protein Structure Comparison (2012) (7)
Hybrid Ranking and Regression for Algorithm Selection (2020) (7)
Special Issue on Soft Computing for Information Mining (2006) (6)
Identification of Functionally Related Enzymes by Learning-to-Rank Methods (2014) (6)
Preference Learning (Dagstuhl Seminar 14101) (2014) (6)
A Nearest Neighbor Approach to Label Ranking based on Generalized Labelwise Loss Minimization (2013) (6)
Probability Estimation for Multi-class Classification Based on Label Ranking (2012) (6)
Fuzzy Modeling of Labeled Point Cloud Superposition for the Comparison of Protein Binding Sites (2009) (6)
Fuzzy pattern trees as an alternative to rule-based fuzzy systems: Knowledge-driven, data-driven and hybrid modeling of color yield in polyester dyeing (2013) (6)
Neural Representation and Learning of Hierarchical 2-additive Choquet Integrals (2020) (6)
Label Ranking with Abstention: Predicting Partial Orders by Thresholding Probability Distributions (Extended Abstract) (2011) (6)
Learning Choice Functions: Concepts and Architectures (2019) (6)
Efficient Similarity Retrieval of Protein Binding Sites based on Histogram Comparison (2010) (5)
Preselection Bandits (2019) (5)
Evaluating Tests in Medical Diagnosis: Combining Machine Learning with Game-Theoretical Concepts (2016) (5)
Preference-Based CBR: General Ideas and Basic Principles (2013) (5)
Instance-Based Prediction with Guaranteed Confidence (2004) (5)
Special issue on fuzzy sets in knowledge discovery (2005) (5)
Learning Pattern Tree Classifiers Using a Co-Evolutionary Algorithm (2009) (5)
Learning Choice Functions (2019) (5)
Ranking Structured Objects with Graph Neural Networks (2021) (5)
Deep Q-Learning: Theoretical Insights From an Asymptotic Analysis (2022) (5)
Case Base Maintenance in Preference-Based CBR (2015) (5)
From knowledge-based to data-driven modeling of fuzzy rule-based systems: A critical reflection (2017) (5)
On the Difficulty of Epistemic Uncertainty Quantification in Machine Learning: The Case of Direct Uncertainty Estimation through Loss Minimisation (2022) (5)
Programmatic Task Network Planning (2018) (5)
The Choquet-Integral as an Aggregation Operator in Case-Based Learning (2006) (5)
Correlation-based embedding of pairwise score data (2014) (5)
Pool-Based Realtime Algorithm Configuration: A Preselection Bandit Approach (2020) (5)
Efficient Similarity Search in Protein Structure Databases: Improving Cliqae-Detection through Clique Hashing (2003) (5)
On Loss Functions in Label Ranking and Risk Minimization by Pairwise Learning (2007) (5)
A Neural Network-Based Driver Gaze Classification System with Vehicle Signals (2020) (5)
Focusing Search by Using Problem Solving Experience (2000) (5)
Ensemble-based Uncertainty Quantification: Bayesian versus Credal Inference (2021) (5)
Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods - 13th International Conference, IPMU 2010, Dortmund, Germany, June 28 - July 2, 2010. Proceedings, Part I (2010) (4)
Instance weighting through data imprecisiation (2021) (4)
On the Representation and Combination of Evidence in Instance-Based Learning (2002) (4)
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation (2022) (4)
Agnostic Explanation of Model Change based on Feature Importance (2022) (4)
An Empirical and Formal Analysis of Decision Trees for Ranking (2008) (4)
Fuzzy Rules in Data Mining: From Fuzzy Associations to Gradual Dependencies (2012) (4)
Online Preselection with Context Information under the Plackett-Luce Model (2020) (4)
Joint mode estimation in multi-label classification by chaining (2011) (4)
Efficient Algorithms for Set-Valued Prediction in Multi-Class Classification (2019) (4)
Case-based learning in a bipolar possibilistic framework (2008) (4)
Scalable Uncertainty Management (2012) (4)
Feature Selection for Analogy-Based Learning to Rank (2019) (4)
A Possibilistic Formalization of Case-Based Reasoning and Decision Making (1999) (4)
Learning from Label Preferences (2011) (4)
A CBR Approach to the Angry Birds Game (2015) (4)
AN EARTHQUAKE RISK ASSESSMENT METHOD BASED ON FUZZY PROBABILITY (2004) (4)
Hierarchical Classification by Expected Utility Maximization (2006) (4)
Analogical Embedding for Analogy-Based Learning to Rank (2021) (4)
Case-based querying and prediction: a fuzzy set approach (2002) (4)
Rule Chains for Visualizing Evolving Fuzzy Rule-Based Systems (2013) (4)
Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data (2021) (4)
Inducing Fuzzy Concepts through Extended Version Space Learning (2003) (4)
Towards Analogy-Based Explanations in Machine Learning (2020) (3)
Quantification of Credal Uncertainty in Machine Learning: A Critical Analysis and Empirical Comparison (2022) (3)
Why Fuzzy Set Theory is Useful in Data Mining (2008) (3)
Machine Learning and Knowledge Discovery in Databases (2014) (3)
Preselection Bandits under the Plackett-Luce Model (2019) (3)
iART: A Search Engine for Art-Historical Images to Support Research in the Humanities (2021) (3)
Case-Based Reasoning Research and Development (2015) (3)
Non-Stationary Dueling Bandits (2022) (3)
Rule-Based Multi-label Classification: Challenges and Opportunities (2020) (3)
Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction (2020) (3)
Non-additive Utility Functions: Choquet Integral Versus Weighted DNF Formulas (2014) (3)
Towards Preference-Based Reinforcement Learning (2012) (3)
Estimating relative depth in single images via rankboost (2017) (3)
Granular Computing in Machine Learning and Data Mining (2008) (3)
LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-label Classification (2020) (3)
Learning Structured Declarative Rule Sets - A Challenge for Deep Discrete Learning (2020) (3)
Plackett-Luce Networks for Dyad Ranking (2016) (3)
Declaratively Capturing Local Label Correlations with Multi-Label Trees (2016) (3)
Learning TSK Fuzzy Rules from Data Streams (2017) (3)
Graph-Kernels for the Comparative Analysis of Protein Active Sites (2009) (3)
Automatic Machine Learning: Hierachical Planning Versus Evolutionary Optimization (2017) (3)
Generalized transitivity: A systematic comparison of concepts with an application to preferences in the Babington Smith model (2020) (3)
Ranking Distributions based on Noisy Sorting (2018) (3)
Guest Editors’ introduction: special issue of the ECML/PKDD 2014 journal track (2014) (2)
Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases - Volume 8724 (2014) (2)
Interactive Ranking of Skylines Using Machine Learning Techniques (2007) (2)
Protein Sub-Cellular Localization Prediction for Special compartments via Optimized Time Series Distances (2014) (2)
Reasoning about systems based on incomplete and uncertain models (1997) (2)
Proceedings of the 6th international conference on Scalable Uncertainty Management (2012) (2)
Learning Choice Functions via Pareto-Embeddings (2020) (2)
Multilabel Classification with Partial Abstention: Bayes-Optimal Prediction under Label Independence (2021) (2)
Fuzzy Methods in Data Mining (2009) (2)
Exploiting Similarity for Supporting Data Analysis and Problem Solving (1999) (2)
Preference Learning: A Tutorial Introduction (2010) (2)
Learning monotone nonlinear models using the Choquet integral (2012) (2)
Ausgewählte Beiträge des GMA-Fachausschusses 5.14 “Computational Intelligence” (2012) (2)
Drift Detection in Text Data with Document Embeddings (2021) (2)
Feature Reduction in Superset Learning Using Rough Sets and Evidence Theory (2020) (2)
Fuzzy sets and modelling of uncertainty in biological systems (1998) (2)
Supporting the Cognitive Process in Annotation Tasks (2018) (2)
Proceedings of the ECML/PKDD-13 Workshop on Reinforcement Learning with Generalized Feedback: Beyond Numeric Rewards (2013) (2)
Machine Learning for Online Algorithm Selection under Censored Feedback (2021) (2)
From knowledge-based to data-driven fuzzy modeling (2015) (2)
Fuzzy Methods for Data Mining and Machine Learning: State ofthe Art and Prospects (2008) (2)
Gradient-based Label Binning in Multi-label Classification (2021) (2)
Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget (2022) (2)
Analogy-Based Preference Learning with Kernels (2019) (2)
Diagnose im Kontext – eine erweiterte Perspektive ☆ (2013) (2)
Choice Functions Generated by Mallows and Plackett-Luce Relations (2019) (2)
How to measure uncertainty in uncertainty sampling for active learning (2021) (2)
Fuzzy Pattern Trees: Ein alternativer Ansatz zur Fuzzy-Modellierung (2012) (2)
Planning with Independent Task Networks (2017) (2)
Incremental Permutation Feature Importance (iPFI): Towards Online Explanations on Data Streams (2022) (2)
Positive Semidefinite (2010) (2)
On-the-Fly Service Construction with Prototypes (2018) (2)
Predicting the Electricity Consumption of Buildings: An Improved CBR Approach (2016) (2)
Machine Learning and Knowledge Discovery in Databases (2014) (2)
Approximation of uncertain functional relationships (1999) (2)
The Choquet kernel for monotone data (2014) (2)
A Reduction of Label Ranking to Multiclass Classification (2019) (2)
Evolutionary Construction of Multiple Graph Alignments for Mining Structured Biomolecular Data (2008) (2)
Positive Definite (2010) (1)
iART - Eine Suchmaschine zur Unterstützung von bildorientierten Forschungsprozessen (2022) (1)
Fuzzy Set-Based Modeling of Case-Based Inference II (2007) (1)
Instance-Based Learning of Credible Label Sets (2003) (1)
The Dissimilar in the Similar. An Attribute-guided Approach to the Subject-specific Classification of Art-historical Objects (2020) (1)
A Method for Predicting Solutions in Case-Based Problem Solving (2000) (1)
Predicting Rankings of Software Verification Competitions (2017) (1)
Graph Alignment: Fuzzy Pattern Mining for the Structural Analysis of Protein Active Sites (2007) (1)
Learning 2-additive Hierarchical Choquet Integrals with non-monotonic utilities (2020) (1)
Learning Tversky Similarity (2020) (1)
Predicate Invention (2010) (1)
PAC Identification (2010) (1)
Beyond Adaptation: Understanding Distributional Changes (Dagstuhl Seminar 20372) (2020) (1)
Machine Learning and Knowledge Discovery in Databases (2014) (1)
Multi-armed bandits with censored consumption of resources (2020) (1)
Consensus based approaches for distributed estimation, optimization and control (2013) (1)
Learning Preference Models from Data: On the Problem of Label Ranking and Its Variants (2008) (1)
Conformal Rule-Based Multi-label Classification (2020) (1)
Testification of Condorcet Winners in dueling bandits (2021) (1)
Fuzzy-Relational Classification: Combining Pairwise Decomposition Techniques with Fuzzy Preference Modeling (2007) (1)
Experience-Based Decision Making and Learning from Examples (2002) (1)
Property-Driven Testing of Black-Box Functions (2022) (1)
Statistical Inference for Incomplete Ranking Data: A Comparison of Two Likelihood-Based Estimators (2018) (1)
Preference Learning: Problems and Applications in Ai Preference Learning: Problems and Applications in Ai (pl-12) Contents a Preliminary Study on a Recommender System for the Million Songs Dataset Using and Learning Gai-decompositions for Representing Ordinal Rankings Alleviating Cold-user Start Pro (2012) (1)
Exploiting similarity and experience in decision making (2002) (1)
Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA (2019) (1)
Locally weighted regression through data imprecisiation (2015) (1)
Identification of the Generalized Condorcet Winner in Multi-dueling Bandits (2021) (1)
Efficient Construction of Multiple Geometrical Alignments for the Comparison of Protein Binding Sites (2009) (1)
Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017 (2017) (1)
Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications - 13th International Conference, IPMU 2010, Dortmund, Germany, June 28 - July 2, 2010. Proceedings, Part II (2010) (1)
Automated Detection of Side Channels in Cryptographic Protocols: DROWN the ROBOTs! (2021) (1)
Single Player Monte-Carlo Tree Search Based on the Plackett-Luce Model (2021) (1)
Preference-based Evolutionary Optimization Using Generalized Racing Algorithms (2013) (1)
Editorial (2015) (1)
Regularized Learning with Flexible Constraints (2003) (1)
Ausgewählte Beiträge des GMA-Fachausschusses 5.14 “Computational Intelligence” (2014) (1)
jPL: A Java-based Software Framework for Preference Learning (2017) (1)
Reduction Stumps for Multi-class Classification (2018) (1)
[Diagnosis in context - broadening the perspective]. (2013) (1)
TSK-Streams: Learning TSK Fuzzy Systems on Data Streams (2019) (1)
Change Detection in Heuristic Search (2000) (1)
Levelwise Data Disambiguation by Cautious Superset Classification (2022) (1)
From Automated to On-The-Fly Machine Learning (2019) (1)
On the Usefulness of Fuzzy Sets in Data Mining (2009) (1)
Case-Based Decision Making (2007) (1)
On the Identifiability of Hierarchical Decision Models (2021) (1)
Proceedings of the ECML/PKDD-08 Workshop on Preference Learning (2008) (1)
Passive Learning (2010) (1)
Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization" (2014) (1)
Do We Need Another Explainable AI Method? Toward Unifying Post-hoc XAI Evaluation Methods into an Interactive and Multi-dimensional Benchmark (2022) (1)
Case-Based Reasoning Research and Development: 23rd International Conference, ICCBR 2015, Frankfurt am Main, Germany, September 28–30, 2015, Proceedings (2015) (1)
Preference Learning: Models, Methods, Applications -- Proceedings of the KI-2003 Workshop (2003) (1)
Preference-Based Reinforcement Learning Using Dyad Ranking (2018) (1)
Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments (2021) (1)
Weighted Voting as Approximate MAP Prediction in Pairwise Classification (2008) (0)
Proceedings. 25. Workshop Computational Intelligence, Dortmund, 26. - 27. November 2015 (2015) (0)
Prescriptive Machine Learning for Automated Decision Making: Challenges and Opportunities (2021) (0)
Editorial (2012) (0)
Fuzzy dynamics: Methodological framework and applications to compartmental modeling (2001) (0)
FSCS 2006 Symposium on Fuzzy Systems in Computer Science 2006 (2006) (0)
Extended graph-based models for enhanced similarity retrieval in Cavbase (2013) (0)
Response to van den Bruel and Perera: the comprehensive diagnostic study: a new solution to old problems? (2014) (0)
Representation and quantification of uncertainty in machine learning (2022) (0)
A flexible class of dependence-aware multi-label loss functions (2022) (0)
Stochastic Contextual Dueling Bandits under Linear Stochastic Transitivity Models (2022) (0)
Fuzzy Methods in Knowledge Discovery (2004) (0)
Preference-based reinforcement learning: a formal framework and a policy iteration algorithm (2012) (0)
Property-Driven Black-Box Testing of Numeric Functions (2023) (0)
Proceedings of the DA2PL'2016 EURO Mini Conference (2016) (0)
Preface: Uncertainty, Similarity, and Knowledge Discovery in CBR (2008) (0)
Contents Johannes Fürnkranz and Eyke Hüllermeier Pairwise Preference Learning and Ranking Active Learning of Ranking Functions Weighting Predictors in Memory-based Collaborative Filtering Björn Fiehn and Jörg Müller User-adaptive Matchmaking Pairwise Preference Learning and Ranking (2003) (0)
Fuzzy dynamics and applications in biological systems modelling (2000) (0)
On the effectiveness of heuristics for learning nested dichotomies: an empirical analysis (2018) (0)
TS-models from evidential clustering (2010) (0)
26. Jahrestagung Künstliche Intelligenz (KI-2003) (2004) (0)
Proceedings. 20. Workshop Computational Intelligence, Dortmund, 1. Dezember - 3. Dezember 2010 (2010) (0)
Discovery science : 16th international conference, DS 2013, Singapore, October 6-9, 2013 : proceedings (2013) (0)
Piecewise Constant Models (2010) (0)
Keynote 4: "Large-scale machine learning and extreme classification" (2017) (0)
On label dependence and loss minimization in multi-label classification (2012) (0)
Special Issue on Discovery Science (2016) (0)
Postsynaptic Neuron (2010) (0)
SHAP-IQ: Unified Approximation of any-order Shapley Interactions (2023) (0)
Proceedings. 26. Workshop Computational Intelligence, Dortmund, 24. - 25. November 2016 (2016) (0)
Predicate Calculus (2010) (0)
Robust Regression for Monocular Depth Estimation (2021) (0)
Event History Analysis on Data Streams: An Application to Earthquake Occurrence (2013) (0)
Piecewise Linear Models (2010) (0)
Improvement of Methods for the Comparison of Protein Binding Sites (2019) (0)
Random tournaments : who plays with whom and how many times ? (2015) (0)
Algorithm selection for software validation based on graph kernels (2020) (0)
Predicting Rankings of So ware Verification Tools ∗ (2017) (0)
iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams (2023) (0)
Constraint-Based Modeling of Case-Based Inference (2007) (0)
Guest editors’ introduction: special issue of the ECML/PKDD 2014 journal track (2014) (0)
Strategies for Privacy Negotiation in Online Social Networks (2016) (0)
A Meta-Review on Artificial Intelligence in Product Creation (0)
Similarity and Case-Based Inference (2007) (0)
Dyad ranking using Plackett–Luce models based on joint feature representations (2018) (0)
Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures? (2022) (0)
Proceedings - 22. Workshop Computational Intelligence: Dortmund, 6. - 7. Dezember 2012 (2012) (0)
GMRF Estimation under Topological and Spectral Constraints (2019) (0)
Instance-Based Prediction in the Framework of Possibility Theory (2001) (0)
Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm (2014) (0)
Guest editors’ introduction: special issue of the ECML/PKDD 2014 journal track (2014) (0)
Approximating the Shapley Value without Marginal Contributions (2023) (0)
Introduction to the special issue of the ECML PKDD 2020 journal track (2020) (0)
Beyond Adaptation: Understanding Distributional Changes (2021) (0)
Report of the symposium "Lernen, Wissen, Adaptivität 2011" of the GI special interest groups KDML, IR and WM, LWA 2011, Magdeburg, 28.-30.September 2011 (2011) (0)
Proceedings of the 16th International Conference on Discovery Science (DS-13) (2013) (0)
Proceedings of the ECAI-12 Workshop on Preference Learning: Problems and Applications in AI (PL-12) (2012) (0)
Identifying Top-k Players in Cooperative Games via Shapley Bandits (2021) (0)
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification (2023) (0)
TSK-Streams: learning TSK fuzzy systems for regression on data streams (2021) (0)
A comparison of heuristic, statistical, and machine learning methods for heated tool butt welding of two different materials (2022) (0)
Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification (2016) (0)
Parallel Corpus (2010) (0)
Guest Editors’ introduction: special issue of the ECML/PKDD 2014 journal track (2014) (0)
Proceedings - 28. Workshop Computational Intelligence, Dortmund, 29. - 30. November 2018 (2018) (0)
Possibilistic case-based decisions (2003) (0)
Quantiﬁcation of Credal Uncertainty in Machine Learning: A Critical Analysis and Empirical Comparison (supplementary material) (2022) (0)
Editorial (2005) (0)
Graph Alignment: Robust Data Mining on Structured Objects (2004) (0)
Programming from Traces (2010) (0)
Proceedings. 23. Workshop Computational Intelligence, Dortmund, 5. - 6. Dezember 2013 (2013) (0)
On the Sample Complexity of Testing for the Existence of the Condorcet Winner in Dueling Bandits (2020) (0)
Label Ranking with Partial Abstention using Ensemble Learning (2009) (0)
Optimizing Data Shapley Interaction Calculation from O(2^n) to O(t n^2) for KNN models (2023) (0)
Principles of Data Management (Abridged) (2017) (0)
Personalized E-Learning Systems (2020) (0)
Flexible constraints for regularization in learning from data (2004) (0)
Probabilistic Modeling of Case-Based Inference (2007) (0)
Production Rules (2014) (0)
Proceedings. 24. Workshop Computational Intelligence, Dortmund, 27. - 28. November 2014 (2014) (0)
Learning from Imprecise and Fuzzy Data: on the Notion of Data Disambiguation (2013) (0)
Prelude to the papers "Fuzzy case based reasoning for facial expression recognition" and "Temporal similarity by measuring possibilistic uncertainty in CBR" (2009) (0)
iART (2021) (0)
Preference-Based Meta-Learning using Dyad Ranking: Recommending Algorithms in Cold-Start Situations (2015) (0)
Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019 (2019) (0)
Instance-based collaborative filtering with fuzzy labels (2003) (0)
Synthesizing Argumentation Frameworks from Examples Niskanen (0)
Fuzzy polynomial and spline interpolation (1995) (0)
Pruning Set (2010) (0)
Multi-target prediction: a unifying view on problems and methods (2018) (0)
Neighbor Embedding by Soft Kendall Correlation (2013) (0)
Conformal Prediction Intervals for Remaining Useful Lifetime Estimation (2022) (0)
Automated Side-Channel Attacks using Black-Box Neural Architecture Search (2023) (0)
On Calibration of Ensemble-Based Credal Predictors (2022) (0)
Program Synthesis From Examples (2010) (0)
Visualization of evolving fuzzy rule-based systems (2014) (0)
Focusing Search in Multiobjective Evolutionary Optimization through Preference Learning from User Feedback (2011) (0)
Sequential Decision Making in Heuristic Search (2003) (0)
Introduction to the special issue of the ECML PKDD 2020 journal track (2020) (0)
Set-valued prediction in hierarchical classification with constrained representation complexity (2022) (0)
Predicting Tags for Stack Overflow Questions (2017) (0)
Protein Structure Retrieval Using Preference-Based CBR (2013) (0)
Local Label Correlations with Multi-Label Trees . In (2018) (0)
Gene expression Clustering of gene expression data using a local shape-based similarity measure (2005) (0)
Scikit-Weak: A Python Library for Weakly Supervised Machine Learning (2022) (0)
Performance Prediction for Hardware-Software Configurations: A Case Study for Video Games (2021) (0)
Manifesto from Dagstuhl Perspectives Workshop 16151 Research Directions for Principles of Data Management (2018) (0)
Automated Information Leakage Detection: A New Method Combining Machine Learning and Hypothesis Testing with an Application to Side-channel Detection in Cryptographic Protocols (2022) (0)
A Prescriptive Machine Learning Approach for Assessing Goodwill in the Automotive Domain (2022) (0)
Towards Automated Machine Learning for Multi-Label Classification (2019) (0)
On testing transitivity in online preference learning (2021) (0)
Set-Valued Prediction in Multi-Class Classification (2019) (0)
Proceedings. 19. Workshop Computational Intelligence, Dortmund, 2. - 4. Dezember 2009 (2009) (0)
Editorial: Preference learning and ranking (2013) (0)
PAC-MDP Learning (2010) (0)
Proceedings. 21. Workshop Computational Intelligence, Dortmund, 1. - 2. Dezember 2011 (2011) (0)
On Position Error and Label Ranking through Iterated Choice (2005) (0)
Positive Predictive Value (2010) (0)

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