Publications
2023
- (2023)
Property-Driven Black-Box Testing of Numeric Functions
Software Engineering 2023, 20-24 February 2023, Paderborn, Germany
2022
- (2022)
Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget
Advances in Neural Information Processing Systems, 28 November - 9 December 2022, New Orleans, USA - (2022)
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation
Advances in Neural Information Processing Systems, 28 November - 9 December 2022, New Orleans, USA - (2022)
Multi-armed bandits with censored consumption of resources
In: Machine Learning, Vol. 112, No. 2: pp. 217-240 - (2022)
Scikit-Weak: A Python Library for Weakly Supervised Machine Learning
International Joint Conference on Rough Sets, 11-14 November 2022, Suzhou, China - (2022)
Levelwise Data Disambiguation by Cautious Superset Classification
15th International Conference on Scalable Uncertainty Management, 17-19 October 2022, Paris, France - (2022)
A Survey of Methods for Automated Algorithm Configuration
In: Journal of Artificial Intelligence Research, Vol. 75: pp. 425-487 - (2022)
Quantification of Credal Uncertainty in Machine Learning: A Critical Analysis and Empirical Comparison
38th Conference on Uncertainty in Artificial Intelligence, 1-5 August 2022, Eindhoven, Netherlands - (2022)
Set-valued prediction in hierarchical classification with constrained representation complexity
38th Conference on Uncertainty in Artificial Intelligence, 1-5 August 2022, Eindhoven, Netherlands - (2022)
Agnostic Explanation of Model Change based on Feature Importance
In: KI - Künstliche Intelligenz, Vol. 36, No. 3-4: pp. 211-224 - (2022)
Stochastic Contextual Dueling Bandits under Linear Stochastic Transitivity Models
39th International Conference on Machine Learning, July 17-23 2022, Baltimore, MD, USA - (2022)
Machine Learning for Online Algorithm Selection under Censored Feedback
Thirty-Sixth AAAI Conference on Artificial Intelligence, February 22–March 1, 2022, Virtual - (2022)
Property-Driven Testing of Black-Box Functions
2022 IEEE/ACM 10th International Conference on Formal Methods in Software Engineering (FormaliSE), 22-23 May 2022, Pittsburgh, PA, USA - (2022)
iART - Eine Suchmaschine zur Unterstützung von bildorientierten Forschungsprozessen
DHd 2022 Kulturen des digitalen Gedächtnisses. 8. Tagung des Verbands "Digital Humanities im deutschsprachigen Raum", 7. - 11. März 2022, Potsdam - (2022)
Automated Information Leakage Detection: A New Method Combining Machine Learning and Hypothesis Testing with an Application to Side-channel Detection in Cryptographic Protocols
14th International Conference on Agents and Artificial Intelligence (ICAART 2022), February 3-5, Virtual - (2022)
A flexible class of dependence-aware multi-label loss functions
In: Machine Learning, Vol. 111, No. 2: pp. 713-737 - (2022)
Learning context-dependent choice functions
In: International Journal of Approximate Reasoning, Vol. 140: pp. 116-155 - (2022)
How to measure uncertainty in uncertainty sampling for active learning
In: Machine Learning, Vol. 111, No. 1: pp. 89-122
2021
- (2021)
Identification of the Generalized Condorcet Winner in Multi-dueling Bandits
Advances in Neural Information Processing Systems, December 7 2021, Virtual - (2021)
Credal Self-Supervised Learning
35th Conference on Neural Information Processing Systems (NeurIPS 2021), December 7, 2021, Virtual - (2021)
Machine Learning With the Sugeno Integral: The Case of Binary Classification
In: IEEE Transactions on Fuzzy Systems, Vol. 29, No. 12: pp. 3723-3733 - (2021)
Drift Detection in Text Data with Document Embeddings
Intelligent Data Engineering and Automated Learning – IDEAL 2021, November 25-27, 2021, Manchester, United Kingdom - (2021)
Robust Regression for Monocular Depth Estimation
Asian Conference on Machine Learning, November 17 - 19, 2021, Virtual - (2021)
Automated Detection of Side Channels in Cryptographic Protocols: DROWN the ROBOTs!
CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, 15. November 2021, Virtual Event, Republic of Korea - (2021)
On the Identifiability of Hierarchical Decision Models
International Conference on Principles of Knowledge Representation and Reasoning, November 3-12, 2021, Virtual - (2021)
Multilabel Classification with Partial Abstention: Bayes-Optimal Prediction under Label Independence
In: Journal of Artificial Intelligence Research, Vol. 72: pp. 613-665 - (2021)
iART: A Search Engine for Art-Historical Images to Support Research in the Humanities
29th ACM International Conference on Multimedia, October 20 - 24, 2021, Virtual - (2021)
Ranking Structured Objects with Graph Neural Networks
24th International Conference on Discovery Science (DS 2021), October 11–13, 2021, Halifax, NS, Canada, Virtual - (2021)
Deep Q-Learning: Theoretical Insights from an Asymptotic Analysis
In: IEEE Transactions on Artificial Intelligence: pp. 1-1 - (2021)
Gradient-Based Label Binning in Multi-label Classification
Machine Learning and Knowledge Discovery in Databases, September 13–17, 2021, Bilbao, Spain - (2021)
Automated Machine Learning, Bounded Rationality, and Rational Metareasoning
ECMLPKDD Workshop on Automating Data Science (ADS2021), 17 September 2021, Virtual - (2021)
AutoML for Multi-Label Classification: Overview and Empirical Evaluation
In: IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 43, No. 9: pp. 3037-3054 - (2021)
Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems
In: IEEE Transactions on Cognitive and Developmental Systems, Vol. 13, No. 3: pp. 717-728 - (2021)
Identifying Top-k Players in Cooperative Games via Shapley Bandits
LWDA’21: Lernen, Wissen, Daten, Analysen, 1. - 3. September, 2021, Munich, Germany - (2021)
Testification of Condorcet Winners in dueling bandits
Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, July 27-30, 2021, Virtual - (2021)
On testing transitivity in online preference learning
In: Machine Learning, Vol. 110, No. 8: pp. 2063-2084 - (2021)
Replacing the Ex-Def Baseline in AutoML by Naive AutoML
8th ICML Workshop on Automated Machine Learning, 2021-07-23, Virtual - (2021)
Coevolution of remaining useful lifetime estimation pipelines for automated predictive maintenance
GECCO '21, Proceedings of the Genetic and Evolutionary Computation Conference Companion, 10 - 14 July, 2021, Lille, France - (2021)
Instance weighting through data imprecisiation
In: International Journal of Approximate Reasoning, Vol. 134: pp. 1-14 - (2021)
TSK-Streams: learning TSK fuzzy systems for regression on data streams
In: Data Mining and Knowledge Discovery, Vol. 35, No. 5: pp. 1941-1971 - (2021)
Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce Model
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 20-25 June 2021, Nashville, TN, USA - (2021)
Rough set-based feature selection for weakly labeled data
In: International Journal of Approximate Reasoning, Vol. 136: pp. 150-167 - (2021)
Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data
In: Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty (eds.): Advances in Knowledge Discovery and Data Mining 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part I. Lecture Notes in Computer Science; Vol. 12712. Cham: Springer. pp. 152-163 - (2021)
Efficient set-valued prediction in multi-class classification
In: Data Mining and Knowledge Discovery, Vol. 35, No. 4: pp. 1435-1469 - (2021)
Performance Prediction for Hardware-Software Configurations: A Case Study for Video Games
19th International Symposium on Intelligent Data Analysis, April 26–28, 2021, Porto, Portugal - (2021)
Analogical Embedding for Analogy-Based Learning to Rank
Advances in Intelligent Data Analysis XIX. IDA 2021, April 26-28, 2021, Porto, Portugal - (2021)
Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods
In: Machine Learning, Vol. 110, No. 3: pp. 457-506 - (2021)
Learning Gradient Boosted Multi-label Classification Rules
In: Frank Hutter, Kristian Kersting, Jefrey Lijffijt, Isabel Valera (eds.): Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part III. Lecture Notes in Computer Science; Vol. 12459. Cham: Springer. pp. 124-140 - (2021)
Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments
In: IEEE Access, Vol. 9: pp. 35654-35669 - (2021)
Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning
In: IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 43, No. 9: pp. 3055-3066 - (2021)
Single Player Monte-Carlo Tree Search Based on the Plackett-Luce Model
AAAI Conference on Artificial Intelligence, February 2–9, 2021, Virtual - (2021)
From Label Smoothing to Label Relaxation
Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), February 2–9, 2021, Virtual - (2021)
Preference-based Online Learning with Dueling Bandits: A Survey
In: Journal of Machine Learning Research, Vol. 22, No. 7: pp. 1-108 - (2021)
The Dissimilar in the Similar. An Attribute-guided Approach to the Subject-specific Classification of Art-historical Objects
INFORMATIK 2020 - Back to the Future, 28 September - 2 October 2020, Virtual
2020
- (2020)
Towards Meta-Algorithm Selection
4th Workshop on Meta-Learning at NeurIPS, 11 December 2020, Virtual - (2020)
A Novel Higher-order Weisfeiler-Lehman Graph Convolution
12th Asian Conference on Machine Learning (ACML 2020), 18-20 November 2020, Bangkok, Thailand - (2020)
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis
12th Asian Conference on Machine Learning (ACML 2020), 18-20 November 2020, Bangkok, Thailand - (2020)
Constrained Multi-Agent Optimization with Unbounded Information Delay
30. Workshop Computational Intelligence, 26. – 27. November 2020, Berlin, Germany - (2020)
Reliable Driver Gaze Classification based on Conformal Prediction
30. Workshop Computational Intelligence, 26. – 27. November 2020, Berlin, Germany - (2020)
On Aggregation in Ensembles of Multilabel Classifiers
23rd International Conference on Discovery Science, 19-21 October 2020, Virtual - (2020)
Extreme Algorithm Selection with Dyadic Feature Representation
In: Annalisa Appice, Grigorios Tsoumakas, Yannis Manolopoulos, Stan Matwin (eds.): Discovery Science. 23rd International Conference, DS 2020, Thessaloniki, Greece, October 19–21, 2020, Proceedings. Lecture Notes in Computer Science; Vol. 12323. Cham: Springer. pp. 309-324 - (2020)
OMG: A Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control
In: Journal of Open Source Software (JOSS), Vol. 5, No. 54 - (2020)
Learning Choice Functions via Pareto-Embeddings
43rd German Conference on AI, 21-25 September, 2020, Bamberg, Germany - (2020)
Conformal Rule-Based Multi-label Classification
KI 2020: Advances in Artificial Intelligence. 43rd German Conference on AI, September 21–25, 2020, Bamberg, Germany - (2020)
Hybrid Ranking and Regression for Algorithm Selection
KI 2020: Advances in Artificial Intelligence. 43rd German Conference on AI, September 21–25, 2020, Bamberg, Germany - (2020)
Towards Analogy-Based Explanations in Machine Learning
Modeling Decisions for Artificial Intelligence, September 2–4, 2020, Sant Cugat, Spain - (2020)
AutoML for Predictive Maintenance: One Tool to RUL Them All
Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, September 14-18, 2020, Ghent, Belgium - (2020)
Rule-Based Multi-label Classification: Challenges and Opportunities
4th International Joint Conference on Rules and Reasoning, 29 June - 1 July 2020, Virtual - (2020)
A Neural Network-Based Driver Gaze Classification System with Vehicle Signals
2020 International Joint Conference on Neural Networks (IJCNN), 19-24 July 2020, Glasgow, UK - (2020)
Neural Representation and Learning of Hierarchical 2-additive Choquet Integrals
Twenty-Ninth International Joint Conference on Artificial Intelligence, January 7-15, 2021, Yokohama, Japan (Virtual) - (2020)
Preselection Bandits
37th International Conference on Machine Learning, July 12-18 2020, Virtual - (2020)
Feature Reduction in Superset Learning Using Rough Sets and Evidence Theory
International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, 15-19 June 2020, Lisbon, Portugal - (2020)
Learning Tversky Similarity
International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, 15-19 June 2020, Lisbon, Portugal - (2020)
Multioracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets
In: Evolutionary Computation, Vol. 28, No. 2: pp. 165-193 - (2020)
Multimodal Turn-Taking: Motivations, Methodological Challenges, and Novel Approaches
In: IEEE Transactions on Cognitive and Developmental Systems, Vol. 12, No. 2: pp. 260-271 - (2020)
Pool-Based Realtime Algorithm Configuration: A Preselection Bandit Approach
In: Ilias S. Kotsireas, Panos M. Pardalos (eds.): Learning and Intelligent Optimization. 14th International Conference, LION 14, Athens, Greece, May 24–28, 2020, Revised Selected Papers. Lecture Notes in Computer Science; Vol. 12096. Cham: Springer. pp. 216-232 - (2020)
A Reduction of Label Ranking to Multiclass Classification
In: Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part III. Lecture Notes in Computer Science; Vol. 11908. Cham: Springer. pp. 204-219 - (2020)
LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-label Classification
In: Michael Berthold, Ad Feelders, Georg Krempl (eds.): Advances in Intelligent Data Analysis XVIII. 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings. Lecture Notes in Computer Science; Vol. 12080. New York, NY: Association for Computing Machinery. pp. 561-573 - (2020)
Aleatoric and Epistemic Uncertainty with Random Forests
International Symposium on Intelligent Data Analysis, April 27-29 2020, Bodenseeforum, Lake Constance, Germany - (2020)
Algorithm selection for software validation based on graph kernels
In: Automated Software Engineering, Vol. 27, No. 1-2: pp. 153-186 - (2020)
Generalized transitivity: A systematic comparison of concepts with an application to preferences in the Babington Smith model
In: International Journal of Approximate Reasoning, Vol. 119: pp. 373-407 - (2020)
Reliable Multilabel Classification: Prediction with Partial Abstention
34th AAAI Conference on Artificial Intelligence, 7-12 Feburary 2020, New York, USA
2019
- (2019)
Mining Rank Data
In: ACM Transactions on Knowledge Discovery from Data, Vol. 13, No. 6: pp. 1-36 - (2019)
Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants
In: Nahla Ben Amor, Benjamin Quost, Martin Theobald (eds.): Scalable Uncertainty Management. Lecture Notes in Computer Science; Vol. 11940. Cham: Springer. pp. 266-279 - (2019)
Grammatikwandel digital-kulturwissenschaftlich erforscht. Mittelniederdeutscher Sprachausbau im interdisziplinären Zugriff
In: Jahrbuch des Vereins für Niederdeutsche Sprachforschung = Niederdeutsches Jahrbuch, Vol. 142: pp. 124-146 - (2019)
Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA
11th Asian Conference on Machine Learning (ACML 2019), November 17 - 19, 2019, Nagoya, Japan - (2019)
Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking
29. Workshop Computational Intelligence, 28. - 29. November 2019, Dortmund, Germany - (2019)
Epistemic Uncertainty Sampling
In: Petra Kralj Novak, Tomislav Šmuc, Sašo Džeroski (eds.): Discovery Science. 22nd International Conference, DS 2019, Split, Croatia, October 28–30, 2019, Proceedings. Lecture Notes in Computer Science; Vol. 11828. pp. 72-86 - (2019)
Feature Selection for Analogy-Based Learning to Rank
In: Petra Kralj Novak, Tomislav Šmuc, Sašo Džeroski (eds.): Discovery Science. 22nd International Conference, DS 2019, Split, Croatia, October 28–30, 2019, Proceedings. Lecture Notes in Computer Science; Vol. 11828. Cham: Springer. pp. 279-289 - (2019)
From Automated to On-The-Fly Machine Learning
In: Klaus David, Kurt Geihs, Martin Lange, Gerd Stumme (eds.): Informatik 2019. 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft, Konferenzbeiträge, der 49. Jahrestagung der Gesellschaft für Informatik, 23.- 26.9.2019 Kassel, Deutschland; Vol. . Bonn: Gesellschaft für Informatik. pp. 273-274 - (2019)
Asymptotic confidence sets for the jump curve in bivariate regression problems
In: Journal of Multivariate Analysis, Vol. 173: pp. 291-312 - (2019)
Analogy-Based Preference Learning with Kernels
In: Christoph Benzmüller, Heiner Stuckenschmidt (eds.): KI 2019: Advances in Artificial Intelligence. 42nd German Conference on AI, Kassel, Germany, September 23–26, 2019, Proceedings. Lecture Notes in Computer Science; Vol. 11793. Cham: Springer. pp. 34-47 - (2019)
Choice Functions Generated by Mallows and Plackett–Luce Relations
In: New Mathematics and Natural Computation, Vol. 15, No. 2: pp. 191-213 - (2019)
Automating Multi-Label Classification Extending ML-Plan
6th ICML Workshop on Automated Machine Learning (AutoML 2019), June 14th 2019, Long Beach, California, USA - (2019)
Multi-target prediction: a unifying view on problems and methods
In: Data Mining and Knowledge Discovery, Vol. 33, No. 2: pp. 293-324 - (2019)
Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking
ECDA 2019: European Conference on Data Analysis, 18 - 20 March 2019, Bayreuth, Germany - (2019)
Towards Automated Machine Learning for Multi-Label Classification
ECDA 2019: European Conference on Data Analysis, 18 - 20 March 2019, Bayreuth, Germany - (2019)
Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning
In: IEEE Computational Intelligence Magazine, Vol. 14, No. 1: pp. 31-44 - (2019)
Adaptive confidence sets for kink estimation
In: Electronic Journal of Statistics, Vol. 13, No. 1: pp. 1523-1579
2018
- (2018)
Learning Interpretable Rules for Multi-Label Classification
In: Hugo Jair Escalante, Sergio Escalera, Isabelle Guyon, Xavier Baró, Yağmur Güçlütürk, Umut Güçlü, Marcel van Gerven (eds.): Explainable and Interpretable Models in Computer Vision and Machine Learning. The Springer Series on Challenges in Machine Learning; Vol. . Cham: Springer. pp. 81-113 - (2018)
Preference-Based Reinforcement Learning Using Dyad Ranking
In: Larisa Soldatova, Joaquin Vanschoren, George Papadopoulos, Michelangelo Ceci (eds.): Discovery Science. Discovery Science 21st International Conference, DS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings. Lecture Notes in Computer Science; Vol. 11198. Cham: Springer. pp. 161-175 - (2018)
Reduction Stumps for Multi-class Classification
In: Wouter Duivesteijn, Arno Siebes, Antti Ukkonen (eds.): Advances in Intelligent Data Analysis XVII. 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings. Lecture Notes in Computer Science; Vol. 11191. Cham: Springer. pp. 225-237 - (2018)
ML-Plan: Automated machine learning via hierarchical planning
In: Machine Learning, Vol. 107, No. 8-10: pp. 1495-1515 - (2018)
On the effectiveness of heuristics for learning nested dichotomies: an empirical analysis
In: Machine Learning, Vol. 107, No. 8-10: pp. 1537-1560 - (2018)
Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty
Twenty-Seventh International Joint Conference on Artificial Intelligence, 13-19 July 2018, Stockholm, Sweden - (2018)
A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart
In: Procedia Manufacturing, Vol. 24: pp. 15-20 - (2018)
(WIP) Towards the Automated Composition of Machine Learning Services
2018 IEEE International Conference on Services Computing (SCC), 2-7 July 2018, San Francisco, CA, USA - (2018)
On-the-Fly Service Construction with Prototypes
2018 IEEE International Conference on Services Computing (SCC), 2-7 July 2018, San Francisco, CA, USA - (2018)
Ensembles of evolved nested dichotomies for classification
GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference, July 15 - 19, 2018, Kyoto, Japan - (2018)
Ranking Distributions based on Noisy Sorting
35th International Conference on Machine Learning, 10-15 July 2018, Stockholm, Sweden - (2018)
ML-Plan for Unlimited-Length Machine Learning Pipelines
ICML 2018 AutoML Workshop, 2018-07-10 – 2018-07-15, Stockholm, Sweden - (2018)
Programmatic Task Network Planning
28th International Conference on Automated Planning and Scheduling, 2018-06-24 – 2018-06-29, Delft, Netherlands - (2018)
Dyad ranking using Plackett–Luce models based on joint feature representations
In: Machine Learning, Vol. 107, No. 5: pp. 903-941 - (2018)
Supporting the Cognitive Process in Annotation Tasks
40. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft, 2018-03-07 – 2018-03-09, Stuttgart, Germany - (2018)
Learning to rank based on analogical reasoning
32nd AAAI Conference on Artificial Intelligence, 2-7 February 2018, New Orleans, Louisianna, USA
2017
- (2017)
Learning TSK Fuzzy Rules from Data Streams
In: Michelangelo Ceci, Jaakko Hollmén, Sašo Džeroski, Ljupčo Todorovsk, Celine Vens, Sašo Džeroski (eds.): Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part II. Lecture Notes in Computer Science; Vol. 10535. pp. 559-574 - (2017)
Automatic Machine Learning: Hierachical Planning Versus Evolutionary Optimization
27th Workshop Computational Intelligence, 23. – 24. November 2017, Dortmund - (2017)
Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics
In: Ralf Mikut, Eyke Hüllermeier, Frank Hoffmann (eds.): Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017; Vol. . Karlsruhe: KIT Scientific Publishing. pp. 1-12 - (2017)
Statistical Inference for Incomplete Ranking Data: A Comparison of Two Likelihood-Based Estimators
In: Frontiers in Computational Intelligence. Studies in Computational Intelligence; Vol. 739. Cham: Springer. pp. 31-46 - (2017)
Planning with Independent Task Networks
In: Gabriele Kern-Isberner, Johannes Fürnkranz, Matthias Thimm (eds.): KI 2017: Advances in Artificial Intelligence. 40th Annual German Conference on AI, Dortmund, Germany, September 25–29, 2017, Proceedings. Lecture Notes in Computer Science; Vol. 10505. Cham: Springer. pp. 193-206 - (2017)
Maximum Likelihood Estimation and Coarse Data
In: Serafín Moral, Olivier Pivert, Daniel Sánchez, Nicolás Marín (eds.): Scalable Uncertainty Management. 11th International Conference, SUM 2017, Granada, Spain, October 4-6, 2017, Proceedings. Lecture Notes in Computer Science; Vol. 10564. Cham: Springer. pp. 3-16 - (2017)
Predicting rankings of software verification tools
3rd ACM SIGSOFT International Workshop on Software Analytics, 4 September 2017, Paderborn, Germany - (2017)
Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic
In: IEEE Transactions on Software Engineering, Vol. 43, No. 8: pp. 739-759 - (2017)
Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening
34th International Conference on Machine Learning, Sydney, Australia - (2017)
Estimating relative depth in single images via rankboost
2017 IEEE International Conference on Multimedia and Expo (ICME), 10-14 July 2017, Hong Kong - (2017)
Active coevolutionary learning of requirements specifications from examples
GECCO '17: Genetic and Evolutionary Computation Conference, July 15 - 19, 2017, Berlin, Germany - (2017)
Lexicographic preferences for predictive modeling of human decision making: A new machine learning method with an application in accounting
In: European Journal of Operational Research, Vol. 258, No. 1: pp. 295-306
2016
- (2016)
Predicting the Electricity Consumption of Buildings: An Improved CBR Approach
In: Ashok Goel, M. Belén Díaz-Agudo, Thomas Roth-Berghofer (eds.): Case-Based Reasoning Research and Development. Lecture Notes in Computer Science; Vol. 9969. Cham: Springer. pp. 356-369 - (2016)
Learning to Aggregate Using Uninorms
In: Paolo Frasconi, Niels Landwehr, Giuseppe Manco, Jilles Vreeken (eds.): Machine Learning and Knowledge Discovery in Databases. Lecture Notes in Computer Science; Vol. 9852. pp. 756-771 - (2016)
Consistency of Probabilistic Classifier Trees
In: Paolo Frasconi, Niels Landwehr, Giuseppe Manco, Jilles Vreeken (eds.): Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II. Lecture Notes in Computer Science; Vol. 9852. Cham: Springer. pp. 511-526 - (2016)
Plackett-Luce Networks for Dyad Ranking
LWDA 2016: Lernen, Wissen, Daten, Analysen 2016, September 12-14, 2016, Potsdam, Germany - (2016)
Evaluating Tests in Medical Diagnosis: Combining Machine Learning with Game-Theoretical Concepts
In: Joao Paulo Carvalho, Marie-Jeanne Lesot, Uzay Kaymak, Susana Vieira, Bernadette Bouchon-Meunier, Ronald R. Yager (eds.): Information Processing and Management of Uncertainty in Knowledge-Based Systems. 16th International Conference, IPMU 2016, Eindhoven, The Netherlands, June 20-24, 2016, Proceedings, Part I. Communications in Computer and Information Science; Vol. 610. Cham: Springer. pp. 450-461 - (2016)
CavSimBase: A Database for Large Scale Comparison of Protein Binding Sites
In: IEEE Transactions on Knowledge and Data Engineering, Vol. 28, No. 6: pp. 1423-1434 - (2016)
Extreme F-measure maximization using sparse probability estimates
ICML'16: 33rd International Conference on International Conference on Machine Learning, June 19 - 24, 2016, New York, NY USA - (2016)
Learning Conditional Lexicographic Preference Tree
In: Archives of data science. Series A, Vol. 1, No. 1: pp. 41-55
2015
- (2015)
Fast Fuzzy Pattern Tree Learning for Classification
In: IEEE Transactions on Fuzzy Systems, Vol. 23, No. 6: pp. 2024-2033 - (2015)
From knowledge-based to data-driven fuzzy modeling
In: Informatik-Spektrum, Vol. 38, No. 6: pp. 500-509 - (2015)
Online F-measure optimization
NIPS'15: 28th International Conference on Neural Information Processing Systems, December 7 - 12, 2015, Montreal Canada - (2015)
Online rank elicitation for Plackett-Luce: a dueling bandits approach
NIPS'15: 28th International Conference on Neural Information Processing Systems, December 7 - 12, 2015, Montreal Canada - (2015)
Case Base Maintenance in Preference-Based CBR
In: Eyke Hüllermeier, Mirjam Minor (eds.): Case-Based Reasoning Research and Development. 23rd International Conference, ICCBR 2015, Frankfurt am Main, Germany, September 28-30, 2015. Proceedings. Lecture Notes in Computer Science; Vol. 9343. Cham: Springer. pp. 1-14 - (2015)
Depth Estimation in Monocular Images: Quantitative versus Qualitative Approaches
In: Frank Hoffmann, Eyke Hüllermeier (eds.): Proceedings. 25. Workshop Computational Intelligence, Dortmund, 26. - 27. November 2015. Schriftenreihe des Instituts für Angewandte Informatik - Automatisierungstechnik, Karlsruher Institut für Technologie; Vol. 54. Karlsruhe: KIT Scientific Publishing. pp. 235-239 - (2015)
Locally weighted regression through data imprecisiation
In: Frank Hoffmann, Eyke Hüllermeier (eds.): Proceedings. 25. Workshop Computational Intelligence, Dortmund, 26. - 27. November 2015. Schriftenreihe des Instituts für Angewandte Informatik - Automatisierungstechnik, Karlsruher Institut für Technologie; Vol. 54. Karlsruhe: KIT Scientific Publishing. pp. 97-103 - (2015)
Preference-based meta-learning using dyad ranking: recommending algorithms in cold-start situations
MetaSel'15: International Conference on Meta-Learning and Algorithm Selection, 7 September 2015, Porto Portugal - (2015)
A CBR Approach to the Angry Birds Game
Twenty-Third International Conference on Case-Based Reasoning (ICCBR 2015), September 28-30, 2015, Frankfurt, Germany - (2015)
Dyad Ranking Using A Bilinear Plackett-Luce Model
In: Annalisa Appice, Pedro Pereira Rodrigues, Vítor Santos Costa, João Gama, Alípio Jorge, Carlos Soares (eds.): Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II. Lecture Notes in Computer Science; Vol. 9285. Cham: Springer. pp. 227-242 - (2015)
Weighted Rank Correlation: A Flexible Approach Based on Fuzzy Order Relations
In: Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II. Lecture Notes in Computer Science; Vol. 9285. pp. 422-437 - (2015)
Superset Learning Based on Generalized Loss Minimization
In: Machine Learning and Knowledge Discovery in Databases.European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II. Lecture Notes in Computer Science; Vol. 9285. Cham: Springer. pp. 260-275 - (2015)
Overlap Indices: Construction of and Application to Interpolative Fuzzy Systems
In: IEEE Transactions on Fuzzy Systems, Vol. 23, No. 4: pp. 1259-1273 - (2015)
Qualitative Multi-Armed Bandits: A Quantile-Based Approach
32nd International Conference on Machine Learning, July 6 - 11, 2015, Lille, France - (2015)
Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study
In: Neurocomputing, Vol. 150, No. A: pp. 250-264
2014
- (2014)
Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm
In: Machine Learning, Vol. 97, No. 3: pp. 327-351 - (2014)
Identification of Functionally Related Enzymes by Learning-to-Rank Methods
In: IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 11, No. 6: pp. 1157-1169 - (2014)
On the Bayes-Optimality of F-Measure Maximizers
In: Journal of Machine Learning Research, Vol. 15: pp. 3513-3568 - (2014)
A Survey of Preference-Based Online Learning with Bandit Algorithms
In: Peter Auer, Alexander Clark, Thomas Zeugmann, Sandra Zilles (eds.): Algorithmic Learning Theory. 25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014. Proceedings. Lecture Notes in Computer Science; Vol. 8776. Cham: Springer. pp. 18-39 - (2014)
Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization
In: International Journal of Approximate Reasoning, Vol. 55, No. 7: pp. 1519-1534 - (2014)
Rejoinder on “Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization”
In: International Journal of Approximate Reasoning, Vol. 55, No. 7: pp. 1609-1613 - (2014)
Guest Editors’ introduction: special issue of the ECML/PKDD 2014 journal track
In: Machine Learning, Vol. 97, No. 1-2: pp. 1-3 - (2014)
Mining Rank Data
In: Sašo Džeroski, Panče Panov, Dragi Kocev, Ljupčo Todorovski (eds.): Discovery Science. 17th International Conference, DS 2014, Bled, Slovenia, October 8-10, 2014. Proceedings. Lecture Notes in Computer Science; Vol. 8777. Cham: Springer. pp. 123-134 - (2014)
Open challenges for data stream mining research
In: ACM SIGKDD Explorations Newsletter, Vol. 16, No. 1: pp. 1-10 - (2014)
Learning Solution Similarity in Preference-Based CBR
In: Luc Lamontagne, Enric Plaza (eds.): Case-Based Reasoning Research and Development. 22nd International Conference, ICCBR 2014, Cork, Ireland, September 29, 2014 - October 1, 2014. Proceedings. Lecture Notes in Computer Science; Vol. 8765. Cham: Springer. pp. 17-31 - (2014)
Extended Graph-Based Models for Enhanced Similarity Search in Cavbase
In: IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 11, No. 5: pp. 878-890 - (2014)
Guest editors’ introduction: special issue of the ECML/PKDD 2014 journal track
In: Data Mining and Knowledge Discovery, Vol. 28, No. 5-6: pp. 1129-1133 - (2014)
Visualization of evolving fuzzy rule-based systems
In: Evolving Systems, Vol. 5, No. 3: pp. 175-191 - (2014)
PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences
28th AAAI Conference on Artificial Intelligence (AAAI-14), Jul 2014, Quebec City, Canada - (2014)
The Choquet kernel for monotone data
22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 23-25 April 2014, Bruges (Belgium) - (2014)
Preference-based Learning of Ideal Solutions in TOPSIS-like Decision Models
In: Journal of Multi-Criteria Decision Analysis, Vol. 22, No. 3-4: pp. 175-183 - (2014)
Survival analysis on data streams: Analyzing temporal events in dynamically changing environments
In: International Journal of Applied Mathematics and Computer Science, Vol. 24, No. 1: pp. 199-212 - (2014)
Dependent binary relevance models for multi-label classification
In: Pattern Recognition, Vol. 47, No. 3: pp. 1494-1508 - (2014)
Protein Sub-Cellular Localization Prediction for Special Compartments via Optimized Time Series Distances
In: Journal of Bioinformatics and Computational Biology, Vol. 12, No. 1: pp. 1350016 - (2014)
The comprehensive diagnostic study is suggested as a design to model the diagnostic process
In: Journal of Clinical Epidemiology, Vol. 67, No. 2: pp. 124-132 - (2014)
Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty
In: Information Sciences, Vol. 255: pp. 16-29
2013
- (2013)
Chest pain in primary care: is the localization of pain diagnostically helpful in the critical evaluation of patients? - A cross sectional study
In: BMC Family Practice, Vol. 14 - (2013)
Weighted Rank Correlation Measures Based on Fuzzy Order Relations
In: Frank Hoffmann, Eyke Hüllermeier (eds.): Proceedings. 23. Workshop Computational Intelligence, Dortmund, 5. - 6. Dezember 2013. Schriftenreihe des Instituts für Angewandte Informatik - Automatisierungstechnik, Karlsruher Institut für Technologie; Vol. 46. Karlsruhe: KIT Scientific Publishing. pp. 227-236 - (2013)
On the Problem of Error Propagation in Classifier Chains for Multi-label Classification
In: Myra Spiliopoulou, Lars Schmidt-Thieme, Ruth Janning (eds.): Data Analysis, Machine Learning and Knowledge Discovery. Studies in Classification, Data Analysis, and Knowledge Organization; Vol. . Cham: Springer. pp. 163-170 - (2013)
Learning to Rank Lexical Substitutions
2013 Conference on Empirical Methods in Natural Language Processing, 18-21 October 2013, Seattle, Washington, USA - (2013)
Labelwise versus Pairwise Decomposition in Label Ranking
LWA 2013. Lernen, Wissen & Adaptivität, 7.-9. October 2013, Bamberg, Germany - (2013)
Ordinal Choquistic Regression
8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2013), 11 - 13 September 2013, Milan, Italy - (2013)
Interactive Q-Learning with Ordinal Rewards and Unreliable Tutor
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2013). Reinforcement Learning with Generalized Feedback, 23rd September 2013, Prague - (2013)
Preference-based Evolutionary Direct Policy Search
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2013). Reinforcement Learning with Generalized Feedback, 23rd September 2013, Prague - (2013)
Event history analysis on data streams: An application to earthquake occurence
RealStream 2013, 1st International Workshop on Real-World Challenges for Data Stream Mining, September 27, 2013, Prague, Czech Republic - (2013)
Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistance prediction
In: Bioinformatics, Vol. 29, No. 16: pp. 1946-1952 - (2013)
A Nearest Neighbor Approach to Label Ranking based on Generalized Labelwise Loss Minimization
7th Multidisciplinary Workshop on Advances in Preference Handling (M-PREF '13), August 3-5, 2013, Beijing, China - (2013)
Preference-Based CBR: General Ideas and Basic Principles
In: Francesca Rossi (eds.): Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, Beijing, China, 3 - 9 August 2013, Vol. 4; Vol. . Palo Alto, Calif.: AAAI Press. pp. 3012-3016 - (2013)
Local Clique Merging: An Extension of the Maximum Common Subgraph Measure with Applications in Structural Bioinformatics
In: Berthold Lausen, Dirk van den Poel, Alfred Ultsch (eds.): Algorithms from and for Nature and Life. Classification and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization; Vol. . Cham: Springer. pp. 279-286 - (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
2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 24-28 June 2013, Edmonton, AB, Canada - (2013)
Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization
ICML'13: 30th International Conference on International Conference on Machine Learning, June 16 - 21, 2013, Atlanta GA USA - (2013)
Top-k Selection based on Adaptive Sampling of Noisy Preferences
ICML'13: 30th International Conference on International Conference on Machine Learning, June 16 - 21, 2013, Atlanta GA USA - (2013)
Recovery Analysis for Adaptive Learning from Non-stationary Data Streams
In: Robert Burduk, Konrad Jackowski, Marek Kurzynski, Michał Wozniak, Andrzej Zolnierek (eds.): Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013. Advances in Intelligent Systems and Computing; Vol. 226. pp. 289-298 - (2013)
Rule Chains for Visualizing Evolving Fuzzy Rule-Based Systems
In: Robert Burduk, Konrad Jackowski, Marek Kurzynski, Michał Wozniak, Andrzej Zolnierek (eds.): Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013. Advances in Intelligent Systems and Computing; Vol. 226. pp. 279-288 - (2013)
Evolving fuzzy pattern trees for binary classification on data streams
In: Information Sciences, Vol. 220: pp. 34-45 - (2013)
Diagnose im Kontext – eine erweiterte Perspektive
In: Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen, Vol. 107, No. 9-10: pp. 585-591 - (2013)
Efficient Learning of Classifiers Based on the 2-Additive Choquet Integral
In: Christian Moewes, Andreas Nürnberger (eds.): Computational Intelligence in Intelligent Data Analysis. Studies in Computational Intelligence; Vol. 445. Berlin, Heidelberg: Springer. pp. 17-29
2012
- (2012)
Label Ranking with Partial Abstention based on Thresholded Probabilistic Models
25. NIPS 2012, December 3-8, 2012, Lake Tahoe, Nevada, USA - (2012)
IBLStreams: a system for instance-based classification and regression on data streams
In: Evolving Systems, Vol. 3, No. 4: pp. 235-249 - (2012)
Preference Learning Using the Choquet Integral: The Case of Multipartite Ranking
In: IEEE Transactions on Fuzzy Systems, Vol. 20, No. 6: pp. 1102-1113 - (2012)
A formal and empirical analysis of the fuzzy gamma rank correlation coefficient
In: Information Sciences, Vol. 206: pp. 1-17 - (2012)
Learning monotone nonlinear models using the Choquet integral
In: Machine Learning, Vol. 89, No. 1-2: pp. 183-211 - (2012)
Preference-based reinforcement learning: a formal framework and a policy iteration algorithm
In: Machine Learning, Vol. 89, No. 1-2: pp. 123-156 - (2012)
Ausgewählte Beiträge des GMA-Fachausschusses 5.14 “Computational Intelligence”
In: at - Automatisierungstechnik, Vol. 60, No. 10: pp. 587-588 - (2012)
Fuzzy Pattern Trees: Ein alternativer Ansatz zur Fuzzy-Modellierung
In: at - Automatisierungstechnik, Vol. 60, No. 10: pp. 622-629 - (2012)
Probability Estimation for Multi-class Classification Based on Label Ranking
In: Peter A. Flach, Tijl De Bie, Nello Cristianini (eds.): Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part II. Lecture Notes in Computer Science; Vol. 7524. Berlin, Heidelberg: Springer. pp. 83-98 - (2012)
An Analysis of Chaining in Multi-Label Classification
In: Luc De Raedt, Christian Bessiere, Didier Dubois, Patrick Doherty, Paolo Frasconi, Fredrik Heintz, Peter Lucas (eds.): ECAI 2012 : 20th European Conference on Artificial Intelligence, 27 - 31 August 2012, Montpellier, France. Frontiers in Artificial Intelligence and Applications; Vol. 242. Amsterdam: IOS Press. pp. 294-299 - (2012)
On the VC-Dimension of the Choquet Integral
In: Salvatore Greco, Bernadette Bouchon-Meunier, Gulianella Coletti, Mario Fedrizzi, Benedetto Matarazzo, Ronald R. Yager (eds.): Advances on Computational Intelligence. 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012, Catania, Italy, July 9-13, 2012. Proceedings, Part I. Communications in Computer and Information Science; Vol. 297. Berlin, Heidelberg: Springer. pp. 42-50 - (2012)
On label dependence and loss minimization in multi-label classification
In: Machine Learning, Vol. 88, No. 1-2: pp. 5-45 - (2012)
Fingerprint Kernels for Protein Structure Comparison
In: Molecular Informatics, Vol. 31, No. 6-7: pp. 443-452 - (2012)
GPU-based Cloud computing for comparing the structure of protein binding sites
2012 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST), 18-20 June 2012, Campione d'Italia, Italy - (2012)
Consistent multilabel ranking through univariate loss minimization
ICML'12: 29th International Coference on International Conference on Machine Learning, 26 June 2012- 1 July 2012, Edinburgh, Scotland, UK - (2012)
Comparing Fuzzy Partitions: A Generalization of the Rand Index and Related Measures
In: IEEE Transactions on Fuzzy Systems, Vol. 20, No. 3: pp. 546-556 - (2012)
Grouping, Overlap, and Generalized Bientropic Functions for Fuzzy Modeling of Pairwise Comparisons
In: IEEE Transactions on Fuzzy Systems, Vol. 20, No. 3: pp. 405-415 - (2012)
Fuzzy Rules in Data Mining: From Fuzzy Associations to Gradual Dependencies
In: Enric Trillas, Piero P. Bonissone, Luis Magdalena, Janusz Kacprz (eds.): Combining Experimentation and Theory. A Hommage to Abe Mamdani. Studies in Fuzziness and Soft Computing; Vol. 271. pp. 123-135
2011
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Multivariate modeling to identify patterns in clinical data: the example of chest pain
In: BMC Medical Research Methodology, Vol. 11 - (2011)
Superposition and Alignment of Labeled Point Clouds
In: IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 8, No. 6: pp. 1653-1666 - (2011)
Learning from Label Preferences
In: Tapio Elomaa, Jaakko Hollmén, Heikki Mannila (eds.): Discovery Science. 14th International Conference, DS 2011, Espoo, Finland, October 5-7, 2011. Proceedings. Lecture Notes in Computer Science; Vol. 6926. pp. 2-17 - (2011)
Preference-Based CBR: First Steps toward a Methodological Framework
In: Ashwin Ram, Nirmalie Wiratunga (eds.): Case-Based Reasoning Research and Development. 19th International Conference on Case-Based Reasoning, ICCBR 2011, London, UK, September 12-15, 2011. Proceedings. Lecture Notes in Computer Science; Vol. 6880. Berlin, Heidelberg: Springer. pp. 77-91 - (2011)
SEGA: Semiglobal Graph Alignment for Structure-Based Protein Comparison
In: IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 8, No. 5: pp. 1330-1343 - (2011)
Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning
In: Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis (eds.): Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011. Proceedings, Part I. Lecture Notes in Computer Science; Vol. 6911. Berlin, Heidelberg: Springer. pp. 312-327 - (2011)
Choquistic Regression: Generalizing Logistic Regression using the Choquet Integral
EUSFLAT - LFA 2011, 18 - 22 July 2011, Aix-Les-Bains, France - (2011)
On-line Redundancy Elimination in Evolving Fuzzy Regression Models using a Fuzzy Inclusion Measure
EUSFLAT - LFA 2011, 18 - 22 July 2011, Aix-Les-Bains, France - (2011)
Fuzzy machine learning and data mining
In: WIREs: Data Mining and Knowledge Discovery, Vol. 1, No. 4: pp. 269-283 - (2011)
Top-Down Induction of Fuzzy Pattern Trees
In: IEEE Transactions on Fuzzy Systems, Vol. 19, No. 2: pp. 241-252 - (2011)
Fuzzy sets in machine learning and data mining
In: Applied Soft Computing, Vol. 11, No. 2: pp. 1493-1505
2010
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Mining Gradual Dependencies Based on Fuzzy Rank Correlation
In: Christian Borgel (eds.): Combining Soft Computing and Statistical Methods in Data Analysis. Advances in Intelligent and Soft Computing; Vol. 77. Berlin, Heidelberg: Springer. pp. 379-386 - (2010)
GARLig: A Fully Automated Tool for Subset Selection of Large Fragment Spaces via a Self-Adaptive Genetic Algorithm
In: Journal of Chemical Information and Modeling, Vol. 50, No. 9: pp. 1644-1659 - (2010)
Uncertainty in Clustering and Classification
In: Amol Deshpande, Anthony Hunter (eds.): Scalable Uncertainty Management.4th International Conference, SUM 2010, Toulouse, France, September 27-29, 2010. Proceedings. Lecture Notes in Computer Science; Vol. 6379. Berlin, Heidelberg: Springer. pp. 16-19 - (2010)
Preference Learning and Ranking by Pairwise Comparison
In: Johannes Fürnkranz, Eyke Hüllermeier (eds.): Preference Learning; Vol. . Berlin, Heidelberg: Springer. pp. 65-82 - (2010)
Preference Learning: An Introduction
In: Johannes Fürnkranz, Eyke Hüllermeier (eds.): Preference Learning; Vol. . Berlin: Springer. pp. 1-17 - (2010)
Predicting Partial Orders: Ranking with Abstention
In: José Luis Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag (eds.): Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part I. Lecture Notes in Computer Science; Vol. 6321. Berlin, Heidelberg: Springer. pp. 215-230 - (2010)
Regret Analysis for Performance Metrics in Multi-Label Classification: The Case of Hamming and Subset Zero-One Loss
In: José Luis Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag (eds.): Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part I. Lecture Notes in Computer Science; Vol. 6321. Berlin, Heidelberg: Springer. pp. 280-295 - (2010)
Pattern trees for regression and fuzzy systems modeling
2010 IEEE International Conference on Fuzzy Systems (FUZZ‐IEEE 2010), 18-23 July 2010, Barcelona, Spain - (2010)
Similarity measures for protein structures based on fuzzy histogram comparison
International Conference on Fuzzy Systems, 18-23 July 2010, Barcelona, Spain - (2010)
Graded multilabel classification: the ordinal case
ICML '10: 27th International Conference on International Conference on Machine Learning, June 21 - 24, 2010, Haifa, Israel - (2010)
On predictive accuracy and risk minimization in pairwise label ranking
In: Journal of Computer and System Sciences, Vol. 76, No. 1: pp. 49-62 - (2010)
Combining predictions in pairwise classification: An optimal adaptive voting strategy and its relation to weighted voting
In: Pattern Recognition, Vol. 43, No. 1: pp. 128-142 - (2010)
An Analysis of the FURIA Algorithm for Fuzzy Rule Induction
In: Jacek Koronacki, Zbigniew W. Raś, Sławomir T. Wierzchoń, Janusz Kacprzyk (eds.): Advances in Machine Learning I. Dedicated to the Memory of Professor Ryszard S. Michalski. Studies in Computational Intelligence; Vol. 262. Berlin, Heidelberg: Springer. pp. 321-344
2009
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Multiple Geometrical Alignments for the Analysis of Protein Active Sites
19. Workshop Computational Intelligence, 2. - 4. Dezember 2009, Dortmund - (2009)
FURIA: an algorithm for unordered fuzzy rule induction
In: Data Mining and Knowledge Discovery, Vol. 19, No. 3: pp. 293-319 - (2009)
Why Fuzzy Decision Trees are Good Rankers
In: IEEE Transactions on Fuzzy Systems, Vol. 17, No. 6: pp. 1233-1244 - (2009)
Efficient Construction of Multiple Geometrical Alignments for the Comparison of Protein Binding Sites
2009 Ninth International Conference on Intelligent Systems Design and Applications, 30 Nov.-2 Dec. 2009, Pisa, Italy - (2009)
Similarity Analysis of Protein Binding Sites: A Generalization of the Maximum Common Subgraph Measure Based on Quasi-Clique Detection
2009 Ninth International Conference on Intelligent Systems Design and Applications, 30 Nov.-2 Dec. 2009, Pisa, Italy - (2009)
Combining Instance-Based Learning and Logistic Regression for Multilabel Classification
LWA 2009: Workshop-Woche: Lernen, Wissen, Adaptivität, 21.-23. September 2009, Darmstadt, Germany - (2009)
Extension and Empirical Comparison of Graph-Kernels for the Analysis of Protein Active Sites
LWA 2009: Workshop-Woche: Lernen, Wissen, Adaptivität, 21.-23. September 2009, Darmstadt, Germany - (2009)
Learning Pattern Tree Classifiers Using a Co-Evolutionary Algorithm
LWA 2009: Workshop-Woche: Lernen, Wissen, Adaptivität, 21.-23. September 2009, Darmstadt, Germany - (2009)
Combining instance-based learning and logistic regression for multilabel classification
In: Machine Learning, Vol. 76, No. 2-3: pp. 211-225 - (2009)
Binary Decomposition Methods for Multipartite Ranking
In: Wray Buntine, Marko Grobelnik, Dunja Mladenić, John Shawe-Taylor (eds.): Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part I. Lecture Notes in Computer Science; Vol. 5781. Berlin, Heidelberg: Springer. pp. 359-374 - (2009)
Combining Instance-Based Learning and Logistic Regression for Multilabel Classification
In: Wray Buntine, Marko Grobelnik, Dunja Mladenić, John Shawe-Taylor (eds.): Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part I. Lecture Notes in Computer Science; Vol. 5781. Berlin, Heidelberg: Springer. pp. 6-6 - (2009)
Merging chemical and biological space: Structural mapping of enzyme binding pocket space
In: Proteins: Structure, Function, and Bioinformatics, Vol. 76, No. 2: pp. 317-330 - (2009)
Decision tree and instance-based learning for label ranking
ICML '09: 26th Annual International Conference on Machine Learning, June 14 - 18, 2009, Montreal Quebec, Canada - (2009)
A New Instance-Based Label Ranking Approach Using the Mallows Model
In: Wen Yu, Haibo He, Nian Zhang (eds.): Advances in Neural Networks – ISNN 2009 : 6th International Symposium on Neural Networks, ISNN 2009 Wuhan, China, May 26-29, 2009 Proceedings, Part I. Lecture Notes in Computer Science; Vol. 5551. Berlin, Heidelberg: Springer. pp. 707-716 - (2009)
On the Usefulness of Fuzzy Sets in Data Mining
In: Views on Fuzzy Sets and Systems from Different Perspectives. Philosophy and Logic, Criticisms and Applications. Studies in Fuzziness and Soft Computing; Vol. 243. Berlin, Heidelberg: Springer. pp. 457-470
2008
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Supporting Case-Based Retrieval by Similarity Skylines: Basic Concepts and Extensions
In: Klaus-Dieter Althoff, Ralph Bergmann, Mirjam Minor, Alexandre Hanft (eds.): Advances in Case-Based Reasoning. Lecture Notes in Computer Science. 9th European Conference, ECCBR 2008, Trier, Germany, September 1-4, 2008. Proceedings; Vol. 5239. Berlin, Heidelberg: Springer. pp. 240-254 - (2008)
Learning Similarity Functions from Qualitative Feedback
In: Klaus-Dieter Althoff, Ralph Bergmann, Mirjam Minor, Alexandre Hanft (eds.): Advances in Case-Based Reasoning. 9th European Conference, ECCBR 2008, Trier, Germany, September 1-4, 2008. Proceedings. Lecture Notes in Computer Science; Vol. 5239. Berlin, Heidelberg: Springer. pp. 120-134 - (2008)
A Critical Analysis of Variants of the AUC
In: Walter Daelemans, Bart Goethals, Katharina Morik (eds.): Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part I. Lecture Notes in Computer Science; Vol. 5211. Berlin, Heidelberg: Springer. pp. 13-13 - (2008)
Granular Computing in Machine Learning and Data Mining
In: Witold Pedrycz, Andrzej Skowron, Vladik Kreinovich (eds.): Handbook of Granular Computing; Vol. . pp. 889-906 - (2008)
Fuzzy Methods for Data Mining and Machine Learning: State of the Art and Prospects
In: Humberto Bustince, Francisco Herrera, Javier Montero (eds.): Fuzzy Sets and Their Extensions: Representation, Aggregation and Models. Studies in Fuzziness and Soft Computing; Vol. 220. Berlin, Heidelberg: Springer. pp. 357-375 - (2008)
Learning Preference Models from Data: On the Problem of Label Ranking and Its Variants
In: Giacomo Della Riccia, Didier Dubois, Rudolf Kruse, Hans-Joachim Lenz (eds.): Preferences and Similarities. CISM International Centre for Mechanical Sciences; Vol. 504. Vienna: Springer. pp. 283-304 - (2008)
Why Fuzzy Set Theory is Useful in Data Mining
In: Pascal Poncelet, Florent Masseglia, Maguelonne Teisseire (eds.): Successes and New Directions in Data Mining; Vol. . Hershey ; New York: Information Science Reference. pp. 1-16
2007
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On Minimizing the Position Error in Label Ranking
In: Joost N. Kok, Jacek Koronacki, Raomon Lopez de Mantaras, Stan Matwin, Dunja Mladenič, Andrzej Skowron (eds.): Machine Learning: ECML 2007. 18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007. Proceedings. Lecture Notes in Computer Science; Vol. 4701. Berlin, Heidelberg: Springer. pp. 583-590 - (2007)
On Pairwise Naive Bayes Classifiers
In: Joost N. Kok, Jacek Koronacki, Raomon Lopez de Mantaras, Stan Matwin, Dunja Mladenič, Andrzej Skowron (eds.): Machine Learning: ECML 2007. 18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007. Proceedings. Lecture Notes in Computer Science; Vol. 4701. Berlin, Heidelberg: Springer. pp. 371-381 - (2007)
An Efficient Algorithm for Instance-Based Learning on Data Streams
In: Petra Perner (eds.): Advances in Data Mining. Theoretical Aspects and Applications. 7th Industrial Conference, ICDM 2007, Leipzig, Germany, July 14-18, 2007. Proceedings. Lecture Notes in Computer Science; Vol. 4597. Berlin, Heidelberg: Springer. pp. 34-48 - (2007)
Label Ranking in Case-Based Reasoning
In: Rosina O. Weber, Michael M. Richter (eds.): Case-Based Reasoning Research and Development. 7th International Conference on Case-Based Reasoning, ICCBR 2007 Belfast, Northern Ireland, UK, August 13-16, 2007 Proceedings. Lecture Notes in Computer Science; Vol. 4626. Berlin, Heidelberg: Springer. pp. 77-91 - (2007)
Adaptive Optimization of the Number of Clusters in Fuzzy Clustering
2007 IEEE International Fuzzy Systems Conference, 23-26 July 2007, London, UK - (2007)
Graph Alignment: Fuzzy Pattern Mining for the Structural Analysis of Protein Active Sites
2007 IEEE International Fuzzy Systems Conference, 23-26 July 2007, London, UK - (2007)
Fuzzy Clustering of Parallel Data Streams
In: Jose Valente de Oliveira, Witold Pedrycz (eds.): Advances in Fuzzy Clustering and its Applications; Vol. . Chichester: Wiley. pp. 333-352
2006
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Hierarchical Classification by Expected Utility Maximization
6th IEEE International Conference on Data Mining, 18-22 December, 2006, Hong Kong, China - (2006)
Special Issue on Soft Computing for Information Mining
In: Soft Computing, Vol. 11, No. 5: pp. 397-399 - (2006)
A fuzzy-probabilistic earthquake risk assessment system
In: Soft Computing, Vol. 11, No. 3: pp. 229-238 - (2006)
Case-Based Label Ranking
In: Johannes Fürnkranz, Tobias Scheffer, Myra Spiliopoulou (eds.): Machine Learning: ECML 2006. 17th European Conference on Machine Learning Berlin, Germany, September 18-22, 2006 Proceedings. Lecture Notes in Computer Science; Vol. 4212. Berlin, Heidelberg: Springer. pp. 566-573 - (2006)
The Choquet-Integral as an Aggregation Operator in Case-Based Learning
In: Bernd Reusch (eds.): Computational Intelligence, Theory and Applications. International Conference 9th Fuzzy Days in Dortmund, Germany, Sept. 18–20, 2006 Proceedings; Vol. . Berlin, Heidelberg: Springer. pp. 615-627 - (2006)
Fuzzy methods for case-based recommendation and decision support
In: Journal of Intelligent Information Systems, Vol. 27, No. 2: pp. 95-115
2005
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Learning from Ambiguously Labeled Examples
In: A. Fazel Famili, Joost N. Kok, José M. Peña, Arno Siebes, Ad Feelders (eds.): Advances in Intelligent Data Analysis VI. Lecture Notes in Computer Science. 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005. Proceedings; Vol. 3646. Berlin, Heidelberg: Springer. pp. 168-179 - (2005)
Learning Label Preferences: Ranking Error Versus Position Error
In: A. Fazel Famili, Joost N. Kok, José M. Peña, Arno Siebes, Ad Feelders (eds.): Advances in Intelligent Data Analysis VI. 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005. Proceedings. Lecture Notes in Computer Science; Vol. 3646. Berlin, Heidelberg: Springer. pp. 180-191 - (2005)
A Notion of Comparative Probabilistic Entropy Based on the Possibilistic Specificity Ordering
In: Symbolic and Quantitative Approaches to Reasoning with Uncertainty. 8th European Conference, ECSQARU 2005, Barcelona, Spain, July 6-8, 2005. Proceedings. Lecture Notes in Computer Science; Vol. 3571. Berlin, Heidelberg: Springer. pp. 848-859 - (2005)
Fuzzy Methods in Knowledge Discovery
In: Bernd Reusch (eds.): Computational Intelligence, Theory and Applications. International Conference 8th Fuzzy Days in Dortmund, Germany, Sept. 29–Oct. 01, 2004 Proceedings. Advances in Soft Computing; Vol. 33. Berlin, Heidelberg: Springer. pp. 483-483
2004
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Ranking by pairwise comparison a note on risk minimization
2004 IEEE International Conference on Fuzzy Systems, 25-29 July, 2004, Budapest, Hungary
2003
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Instance-Based Learning of Credible Label Sets
In: Andreas Günter, Rudolf Kruse, Bernd Neumann (eds.): KI 2003: Advances in Artificial Intelligence. 26th Annual German Conference on AI, KI 2003, Hamburg, Germany, September 15-18, 2003. Proceedings. Lecture Notes in Computer Science; Vol. 2821. Berlin, Heidelberg: Springer. pp. 450-464 - (2003)
Pairwise Preference Learning and Ranking
In: Nada Lavrač, Dragan Gamberger, Hendrik Blockeel, Ljupčo Todorovski (eds.): Machine Learning: ECML 2003. 14th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, September 22-26, 2003. Proceedings. Lecture Notes in Computer Science; Vol. 2837. Berlin, Heidelberg: Springer. pp. 145-156 - (2003)
Regularized Learning with Flexible Constraints
In: Michael R. Berthold, Hans-Joachim Lenz, Elizabeth Bradley, Rudolf Kruse, Christian Borgelt (eds.): Advances in Intelligent Data Analysis V. 5th International Symposium on Intelligent Data Analysis, IDA 2003, Berlin, Germany, August 28-30, 2003. Proceedings. Lecture Notes in Computer Science; Vol. 2810. Berlin, Heidelberg: Springer. pp. 13-24 - (2003)
A Note on Quality Measures for Fuzzy Association Rules
In: Taner Bilgiç, Bernard De Baets, Okyay Kaynak (eds.): Fuzzy Sets and Systems — IFSA 2003. 10th International Fuzzy Systems Association World Congress Istanbul, Turkey, June 30 – July 2, 2003 Proceedings. Lecture Notes in Computer Science; Vol. 2715. Berlin, Heidelberg: Springer. pp. 346-353 - (2003)
Inducing Fuzzy Concepts through Extended Version Space Learning
In: Taner Bilgiç, Bernard De Baets, Okyay Kaynak (eds.): Fuzzy Sets and Systems — IFSA 2003. 10th International Fuzzy Systems Association World Congress Istanbul, Turkey, June 30 – July 2, 2003 Proceedings. Lecture Notes in Computer Science; Vol. 2715. Berlin, Heidelberg: Springer. pp. 677-684 - (2003)
A Method for Predicting Solutions in Case-Based Problem Solving
In: Enrico Blanzieri, Luigi Portinale (eds.): Advances in Case-Based Reasoning. 5th European Workshop, EWCBR 2000 Trento, Italy, September 6–9, 2000 Proceedings. Lecture Notes in Computer Science; Vol. 1898. Berlin, Heidelberg: Springer. pp. 124-135 - (2003)
Flexible Control of Case-Based Prediction in the Framework of Possibility Theory
In: Enrico Blanzieri, Luigi Portinale (eds.): Advances in Case-Based Reasoning. 5th European Workshop, EWCBR 2000 Trento, Italy, September 6–9, 2000 Proceedings. Lecture Notes in Computer Science; Vol. 1898. Berlin, Heidelberg: Springer. pp. 61-73 - (2003)
Possibilistic case-based decisions
In: Cédric Lesage, Marie Cottrell (eds.): Connectionist Approaches in Economics and Management Sciences. Advances in Computational Management Science; Vol. 6. Boston, MA: Springer. pp. 31-48 - (2003)
Sequential Decision Making in Heuristic Search
In: Giacomo Della Riccia, Didier Dubois, Rudolf Kruse, Hans-J. Lenz (eds.): Planning Based on Decision Theory. International Centre for Mechanical Sciences; Vol. 472. Vienna: Springer. pp. 27-41
2002
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Possibilistic Induction in Decision-Tree Learning
In: Tapio Elomaa, Heikki Mannila, Hannu Toivonen (eds.): Machine Learning: ECML 2002.13th European Conference on Machine Learning Helsinki, Finland, August 19–23, 2002 Proceedings. Lecture Notes in Computer Science; Vol. 2430. Cham: Springer. pp. 173-184 - (2002)
Association Rules for Expressing Gradual Dependencies
In: Tapio Elomaa, Heikki Mannila, Hannu Toivonen (eds.): Principles of Data Mining and Knowledge Discovery. 6th European Conference, PKDD 2002 Helsinki, Finland, August 19–23, 2002 Proceedings. Lecture Notes in Computer Science; Vol. 2431. Berlin, Heidelberg: Springer. pp. 200-211 - (2002)
Experience-Based Decision Making and Learning from Examples
In: Operations Research Proceedings 2001. Selected Papers of the International Conference on Operations Research (OR 2001) Duisburg, September 3–5, 2001; Vol. . Berlin, Heidelberg: Springer. pp. 363-370 - (2002)
Case-based querying and prediction: a fuzzy set approach
2002 IEEE World Congress on Computational Intelligence, 12-17 May 2002, Honolulu, HI, USA - (2002)
Exploiting similarity and experience in decision making
In: Proceedings of the 2002 IEEE International Conference on Fuzzy Systems: May 12 - 17, 2002, Hilton Hawaiian Village Hotel, Honolulu, Hawaii. Vol. 1; Vol. . Piscataway, NJ: IEEE. pp. 729-734 - (2002)
Knowledge-Based Extrapolation of Cases: A Possibilistic Approach
In: Bernadette Bouchon-Meunier, Julio Gutiérrez-Ríos, Luis Magdalena, Ronald R. Yager (eds.): Technologies for Constructing Intelligent Systems 1. Studies in Fuzziness and Soft Computing; Vol. 89. Heidelberg: Physica Verlag. pp. 377-390
2001
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Fuzzy Association Rules: Semantic Issues and Quality Measures
In: Bernd Reusch (eds.): Computational Intelligence. Theory and Applications. International Conference, 7th Fuzzy Days Dortmund, Germany, October 1–3, 2001 Proceedings. Lecture Notes in Computer Science; Vol. 2206. Berlin, Heidelberg: Springer. pp. 380-391 - (2001)
Implication-Based Fuzzy Association Rules
In: Principles of Data Mining and Knowledge Discovery. 5th European Conference, PKDD 2001, Freiburg, Germany, September 3–5, 2001 Proceedings. Lecture Notes in Computer Science; Vol. 2168. Berlin, Heidelberg: Springer. pp. 241-252 - (2001)
Toward the representation of implication-based fuzzy rules in terms of crisp rules
20th NAFIPS International Conference, 25-28 July 2001, Vancouver, BC, Canada
1999
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Exploiting Similarity for Supporting Data Analysis and Problem Solving
In: David J. Hand, Joost N. Kok, Michael R. Berthold (eds.): Advances in Intelligent Data Analysis. Third International Symposium, IDA-99 Amsterdam, The Netherlands, August 9–11, 1999 Proceedings. Lecture Notes in Computer Science; Vol. 1642. Berlin, Heidelberg: Springer. pp. 257-268 - (1999)
A Possibilistic Formalization of Case-Based Reasoning and Decision Making
In: Bernd Reusch (eds.): Computational Intelligence. Theory and Applications International Conference, 6th Fuzzy Days Dortmund, Germany, May 25–28 1999 Proceedings. Lecture Notes in Computer Science; Vol. 1625. Berlin, Heidelberg: Springer. pp. 411-420