Alexander Tornede

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Eyke HüllermeierProfessor of Computer Science, Paderborn UniversityZweryfikowany adres z upb.de
Marcel WeverLUHAI, Leibniz University HannoverZweryfikowany adres z ai.uni-hannover.de
Felix MohrUniversidad de La Sabana - ColombiaZweryfikowany adres z unisabana.edu.co
Tanja TornedeLeibniz University HannoverZweryfikowany adres z ai.uni-hannover.de
Jonas HanselleLudwig-Maximilians-Universität MünchenZweryfikowany adres z ifi.lmu.de
Marius LindauerLeibniz University Hannover (Germany), Institute of Artificial Intelligence LUH|AI, L3S ResearchZweryfikowany adres z ai.uni-hannover.de
Viktor BengsLMU MunichZweryfikowany adres z lmu.de
Aditya MohanPhD Student at Leibniz Universität HannoverZweryfikowany adres z ai.uni-hannover.de
Tim RuhkopfPhD Candidate, Leibniz University HannoverZweryfikowany adres z ai.uni-hannover.de
Difan DengLeibniz Universität HannoverZweryfikowany adres z tnt.uni-hannover.de
Sarah SegelLeibniz University HannoverZweryfikowany adres z ai.uni-hannover.de
Joseph GiovanelliUniversity of BolognaZweryfikowany adres z unibo.it
Kevin TierneyBielefeld UniversityZweryfikowany adres z uni-bielefeld.de
Jasmin BrandtPhD Student, Paderborn UniversityZweryfikowany adres z uni-paderborn.de
Frank HutterELLIS Institute Tübingen & Professor, University of Freiburg, GermanyZweryfikowany adres z cs.uni-freiburg.de
Henning WachsmuthLeibniz University Hannover, L3S Research CenterZweryfikowany adres z ai.uni-hannover.de
Theresa EimerRL Team Lead, Leibniz Universität HannoverZweryfikowany adres z ai.uni-hannover.de
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichZweryfikowany adres z stat.uni-muenchen.de
Stefan WernerSICK Sensor IntelligenceZweryfikowany adres z sick.de
Lukas FehringPhD student at Institute of Artificial Intelligence; Leibniz University HannoverZweryfikowany adres z ai.uni-hannover.de

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Alexander Tornede

Inne imiona/nazwiskaAlexander Hetzer

Beckhoff Automation

Zweryfikowany adres z beckhoff.com

Algorithm Selection AutoML Algorithm Configuration Preference Learning


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
AutoML for Multi-Label Classification: Overview and Empirical Evaluation M Wever, A Tornede, F Mohr, E Hüllermeier IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021	92	2021
A Survey of Methods for Automated Algorithm Configuration E Schede, J Brandt, A Tornede, M Wever, V Bengs, E Hüllermeier, ... Journal of Artificial Intelligence Research, 2022	62	2022
Towards Green Automated Machine Learning: Status Quo and Future Directions T Tornede, A Tornede, J Hanselle, F Mohr, M Wever, E Hüllermeier Journal of Artificial Intelligence Research 77, 427-457, 2023	51	2023
Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning F Mohr, M Wever, A Tornede, E Hüllermeier IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021	41	2021
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks A Tornede, D Deng, T Eimer, J Giovanelli, A Mohan, T Ruhkopf, S Segel, ... arXiv preprint arXiv:2306.08107, 2023	37	2023
Algorithm selection on a meta level A Tornede, L Gehring, T Tornede, M Wever, E Hüllermeier Machine Learning, 2022	27	2022
AutoML for Predictive Maintenance: One Tool to RUL them all T Tornede, A Tornede, M Wever, F Mohr, E Hüllermeier IoTStream @ ECMLPKDD 2020, 2020	24	2020
Extreme Algorithm Selection with Dyadic Feature Representation A Tornede, M Wever, E Hüllermeier Discovery Science 2020, 309--324, 2020	23	2020
Hybrid Ranking and Regression for Algorithm Selection J Hanselle, A Tornede, M Wever, E Hüllermeier 43rd German Conference on Artificial Intelligence (KI 2020), 2020	21	2020
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis A Tornede, M Wever, S Werner, F Mohr, E Hüllermeier 12th Asian Conference on Machine Learning (ACML), 2020, 2020	19	2020
MASIF: Meta-learned Algorithm Selection using Implicit Fidelity Information T Ruhkopf, A Mohan, D Deng, A Tornede, F Hutter, M Lindauer Transactions on Machine Learning Research, 2023	15	2023
Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance T Tornede, A Tornede, M Wever, E Hüllermeier Proceedings of the Genetic and Evolutionary Computation Conference, 2021	15	2021
Automating Multi-Label Classification Extending ML-Plan M Wever, F Mohr, A Tornede, E Hüllermeier 6th ICML Workshop on Automated Machine Learning, 2019	14	2019
Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking A Tornede, M Wever, E Hüllermeier 29th Workshop Computational Intelligence, November 2019, 2019	13	2019
LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification M Wever, A Tornede, F Mohr, E Hüllermeier Symposium on Intelligent Data Analysis, 2020, 2020	8	2020
Symbolic Explanations for Hyperparameter Optimization S Segel, H Graf, A Tornede, B Bischl, M Lindauer AutoML Conference 2023, 2023	7	2023
Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data J Hanselle, A Tornede, M Wever, E Hüllermeier The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining …, 2021	7	2021
Towards Meta-Algorithm Selection A Tornede, M Wever, E Hüllermeier Workshop on Meta-Learning (MetaLearn 2020) @ NeurIPS 2020, 2020	7	2020
Interactive hyperparameter optimization in multi-objective problems via preference learning J Giovanelli, A Tornede, T Tornede, M Lindauer Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12172 …, 2024	6	2024
HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection L Fehring, J Hanselle, A Tornede Workshop on Meta-Learning (MetaLearn 2022) @ NeurIPS 2022, 2022	6	2022

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