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Lennart Purucker

Lennart Oswald Purucker

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2020 – today

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2024
[c5]
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  - conf/ecir/WegmethVP24
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Lukas Wegmeth, Tobias Vente, Lennart Purucker:
Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems. ECIR (1) 2024: 140-156
[i4]
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  - journals/corr/abs-2401-08444
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Lukas Wegmeth, Tobias Vente, Lennart Purucker:
Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems. CoRR abs/2401.08444 (2024)
2023
[c4]
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Lennart Oswald Purucker, Joeran Beel:
CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure. AutoML 2023: 1/1-23
[c3]
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Lennart Oswald Purucker, Lennart Schneider, Marie Anastacio, Joeran Beel, Bernd Bischl, Holger H. Hoos:
Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML. AutoML 2023: 10/1-34
[c2]
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Lukas Wegmeth, Tobias Vente, Lennart Purucker, Joeran Beel:
The Effect of Random Seeds for Data Splitting on Recommendation Accuracy. Perspectives@RecSys 2023
[i3]
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  - journals/corr/abs-2307-00285
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Lennart Purucker, Joeran Beel:
Assembled-OpenML: Creating Efficient Benchmarks for Ensembles in AutoML with OpenML. CoRR abs/2307.00285 (2023)
[i2]
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  - journals/corr/abs-2307-00286
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Lennart Purucker, Joeran Beel:
CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure. CoRR abs/2307.00286 (2023)
[i1]
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  - journals/corr/abs-2307-08364
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Lennart Purucker, Lennart Schneider, Marie Anastacio, Joeran Beel, Bernd Bischl, Holger H. Hoos:
Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML. CoRR abs/2307.08364 (2023)
2022
[c1]
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  - conf/icdm/PuruckerSLB22
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Lennart Purucker, Felix I. Stamm, Florian Lemmerich, Joeran Beel:
Estimating the Pruned Search Space Size of Subgroup Discovery. ICDM 2022: 1155-1160

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