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Fürnkranz, Johannes
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1

Learning decision catalogues for situated decision making: ..:

Heid, Stefan ; Hanselle, Jonas ; Fürnkranz, Johannes.
International Journal of Approximate Reasoning.  171 (2024)  - p. 109190 , 2024
Link: https://doi.org/10.1016/..
 
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2

Neural Network-based Information Set Weighting for Playing ..:

Bertram, Timo ; Fürnkranz, Johannes ; Müller, Martin
IEEE Transactions on Games.  , 2024
Link: https://doi.org/10.1109/..
 
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3

An Empirical Comparison of Interpretable Models to Post-Hoc..:

Mahya, Parisa ; Fürnkranz, Johannes
AI.  4 (2023)  2 - p. 426-436 , 2023
Link: https://doi.org/10.3390/..
 
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4

Efficient learning of large sets of locally optimal classif..:

Huynh, Van Quoc Phuong ; Fürnkranz, Johannes ; Beck, Florian
Machine Learning.  112 (2023)  2 - p. 571-610 , 2023
Link: https://doi.org/10.1007/..
 
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5

On the efficient implementation of classification rule lear..:

Rapp, Michael ; Fürnkranz, Johannes ; Hüllermeier, Eyke
Advances in Data Analysis and Classification.  , 2023
Link: https://doi.org/10.1007/..
 
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6

Layerwise Learning of Mixed Conjunctive and Disjunctive Rul..:

, In: Rules and Reasoning; Lecture Notes in Computer Science,
Beck, Florian ; Fürnkranz, Johannes ; Huynh, Van Quoc Phuong - p. 95-109 , 2023
Link: https://doi.org/10.1007/..
 
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7

Probabilistic Scoring Lists for Interpretable Machine Learn..:

, In: Discovery Science; Lecture Notes in Computer Science,
Hanselle, Jonas ; Fürnkranz, Johannes ; Hüllermeier, Eyke - p. 189-203 , 2023
Link: https://doi.org/10.1007/..
 
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8

Weighting Information Sets with Siamese Neural Networks in ..:

, In: 2023 IEEE Conference on Games (CoG),
Bertram, Timo ; Furnkranz, Johannes ; Muller, Martin - p. 1-8 , 2023
Link: https://doi.org/10.1109/..
 
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9

Data-driven Disease Surveillance:

Kulessa, Moritz Alexander Claus , 2022
Link: https://nbn-resolving.de..
 
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10

An Ordinal Agent Framework:

Joppen, Tobias , 2022
Link: https://nbn-resolving.de..
 
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11

Preference-based Representation Learning for Collections:

Diallo, Aïssatou , 2022
Link: https://nbn-resolving.de..
 
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12

Multi-label Rule Learning:

Rapp, Michael , 2022
Link: https://nbn-resolving.de..
 
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13

Supervised and Reinforcement Learning from Observations in ..:

, In: 2022 IEEE Conference on Games (CoG),
Bertram, Timo ; Furnkranz, Johannes ; Muller, Martin - p. 608-611 , 2022
Link: https://doi.org/10.1109/..
 
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14

Correlation-Based Discovery of Disease Patterns for Syndrom..:

Rapp, Michael ; Kulessa, Moritz ; Loza Mencía, Eneldo.
Frontiers in Big Data.  4 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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15

A flexible class of dependence-aware multi-label loss funct..:

Hüllermeier, Eyke ; Wever, Marcel ; Loza Mencia, Eneldo..
Machine Learning.  111 (2022)  2 - p. 713-737 , 2022
Link: https://doi.org/10.1007/..
 
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