Search Results - Benjamins, Carolin

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  1. 1
    Application of machine learning for fleet-based condition monitoring of ball screw drives in machine tools

    Application of machine learning for fleet-based condition monitoring of ball screw drives in machine tools by Denkena, Berend, Dittrich, Marc-André, Noske, Hendrik, Lange, Dirk, Benjamins, Carolin, Lindauer, Marius

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  2. 2
    Benchmarked: optimization meets machine learning 2022

    Benchmarked: optimization meets machine learning 2022 by Bosman, Annelot, Benjamins, Carolin

    Published in SIGEVOlution
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  3. 3
    Hyperparameters in Contextual RL are Highly Situational

    Hyperparameters in Contextual RL are Highly Situational by Eimer, Theresa, Benjamins, Carolin, Lindauer, Marius

    Published in arXiv.org
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  4. 4
    POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning

    POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning by Schubert, Frederik, Benjamins, Carolin, Döhler, Sebastian, Rosenhahn, Bodo, Lindauer, Marius

    Published in arXiv.org
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  5. 5
    Self-Adjusting Weighted Expected Improvement for Bayesian Optimization

    Self-Adjusting Weighted Expected Improvement for Bayesian Optimization by Benjamins, Carolin, Raponi, Elena, Jankovic, Anja, Doerr, Carola, Lindauer, Marius

    Published in arXiv.org
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  6. 6
    AutoRL Hyperparameter Landscapes

    AutoRL Hyperparameter Landscapes by Mohan, Aditya, Benjamins, Carolin, Wienecke, Konrad, Dockhorn, Alexander, Lindauer, Marius

    Published in arXiv.org
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  7. 7
    Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization

    Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization by Benjamins, Carolin, Cenikj, Gjorgjina, Nikolikj, Ana, Mohan, Aditya, Tome Eftimov, Lindauer, Marius

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  8. 8
    ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning

    ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning by Becktepe, Jannis, Dierkes, Julian, Benjamins, Carolin, Mohan, Aditya, Salinas, David, Rajan, Raghu, Hutter, Frank, Hoos, Holger, Lindauer, Marius, Eimer, Theresa

    Published in arXiv.org
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  9. 9
    Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis

    Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis by Benjamins, Carolin, Jankovic, Anja, Raponi, Elena, van der Blom, Koen, Lindauer, Marius, Doerr, Carola

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  10. 10
    Contextualize Me -- The Case for Context in Reinforcement Learning

    Contextualize Me -- The Case for Context in Reinforcement Learning by Benjamins, Carolin, Eimer, Theresa, Schubert, Frederik, Mohan, Aditya, Döhler, Sebastian, Biedenkapp, André, Rosenhahn, Bodo, Hutter, Frank, Lindauer, Marius

    Published in arXiv.org
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  11. 11
    PI is back! Switching Acquisition Functions in Bayesian Optimization

    PI is back! Switching Acquisition Functions in Bayesian Optimization by Benjamins, Carolin, Raponi, Elena, Jankovic, Anja, van der Blom, Koen, Santoni, Maria Laura, Lindauer, Marius, Doerr, Carola

    Published in arXiv.org
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  12. 12
    CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning

    CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning by Benjamins, Carolin, Eimer, Theresa, Schubert, Frederik, Biedenkapp, André, Rosenhahn, Bodo, Hutter, Frank, Lindauer, Marius

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  13. 13
    SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

    SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization by Lindauer, Marius, Eggensperger, Katharina, Feurer, Matthias, Biedenkapp, André, Deng, Difan, Benjamins, Carolin, Ruhopf, Tim, Sass, René, Hutter, Frank

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  14. 14
    Delaying Metamemory Judgments Corrects the Expectancy Illusion in Source Monitoring: The Role of Fluency and Belief

    Delaying Metamemory Judgments Corrects the Expectancy Illusion in Source Monitoring: The Role of Fluency and Belief by Schaper, Marie Luisa, Bayen, Ute J., Hey, Carolin V.

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  15. 15
    The Grounding of Logical Operations: The Role of Color, Shape, and Emotional Faces for "Yes" or "No" Decisions

    The Grounding of Logical Operations: The Role of Color, Shape, and Emotional Faces for "Yes" or "No" Decisions by Dudschig, Carolin, Kaup, Barbara, Mackenzie, Ian Grant

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  16. 16
    Dengue prediction by the web: Tweets are a useful tool for estimating and forecasting Dengue at country and city level

    Dengue prediction by the web: Tweets are a useful tool for estimating and forecasting Dengue at country and city level by Marques-Toledo, Cecilia de Almeida, Degener, Carolin Marlen, Vinhal, Livia, Coelho, Giovanini, Meira, Wagner, Codeço, Claudia Torres, Teixeira, Mauro Martins

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  17. 17
    Multimodal Aspects of Sentence Comprehension: Do Facial and Color Cues Interact With Processing Negated and Affirmative Sentences?

    Multimodal Aspects of Sentence Comprehension: Do Facial and Color Cues Interact With Processing Negated and Affirmative Sentences? by Schütt, Emanuel, Weicker, Merle, Dudschig, Carolin

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  18. 18
    Direct Evidence for Linguistic Influences in Two-Digit Number Processing

    Direct Evidence for Linguistic Influences in Two-Digit Number Processing by Bahnmueller, Julia, Maier, Carolin A., Göbel, Silke M., Moeller, Korbinian

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  19. 19
    Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task

    Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task by Brinker, Titus J., Hekler, Achim, Enk, Alexander H., Klode, Joachim, Hauschild, Axel, Berking, Carola, Schilling, Bastian, Haferkamp, Sebastian, Schadendorf, Dirk, Holland-Letz, Tim, von Kalle, Christof, Sirokay, Judith, Albrecht, Magarete, Chorti, Eleftheria, Dith, Anna, Drusio, Christina, Giese, Nina, Griewank, Klaus, Hallasch, Sandra, Hanhart, Zdenka, Herz, Saskia, Hohaus, Katja, Jansen, Philipp, Jockenhöfer, Finja, Kanaki, Theodora, Leonhard, Katja, Matei, Liliana, Olischewski, Alexandra, Placke, Jan-Malte, Raub, Simon, Salva, Katrin, Sody, Elsa, Steingrube, Nadine, Ugurel, Selma, Zaremba, Anne, Gebhardt, Christoffer, Booken, Nina, Buder-Bakhaya, Kristina, Bokor-Billmann, Therezia, Enk, Alexander, Hänßle, Holger, Salzmann, Martin, Schank, Timo, Bohne, Ann-Sophie, Egberts, Friederike, Ewald, Benjamin, Falkvoll, Sandra, Gerdes, Sascha, Harde, Viola, Hauschild, Axel, Jost, Marion, Kosova, Katja, Messinger, Laetitia, Metzner, Malte, Scheller, Natalie, Schwarz, Thomas, Stölzl, Dora, Thielking, Federieke, Tomaschewski, Elena, Wehkamp, Ulrike, Wiedow, Oliver, Bender-Säbelkampf, Sophia, Horbrügger, Marc, Karoglan, Ante, Kraas, Luise, Geraud, Cyrill, Koch, Philipp, Linke, Miriam, Maurier, Nolwenn, Müller, Verena, Thomas, Benjamin, Utikal, Jochen Sven, Alamri, Ali Saeed M., Baczako, Andrea, Berking, Carola, Betke, Matthias, Haas, Carolin, Hartmann, Daniela, Kilian, Katharina, Krammer, Sebastian, Lapczynski, Natalie Lidia, Nasifoglu, Suzan, Ruini, Cristel, Wolff, Hans, Achatz, Birgit, Bergbreiter, Astrid, Drexler, Konstantin, Halupczok, Anna, Hegemann, Marie, Dinauer, Verena, Maagk, Maria, Mickler, Marion, Philipp, Biance, Wittmann, Constanze, Gesierich, Anja, Glutsch, Valerie, Kahlert, Katrin, Kerstan, Andreas, Schilling, Bastian, Schrüfer, Philipp

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  20. 20
    A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task

    A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task by Brinker, Titus J., Hekler, Achim, Enk, Alexander H., Klode, Joachim, Hauschild, Axel, Berking, Carola, Schilling, Bastian, Haferkamp, Sebastian, Schadendorf, Dirk, Fröhling, Stefan, von Kalle, Christof, Sirokay, Judith, Albrecht, Magarete, Chorti, Eleftheria, Dith, Anna, Drusio, Christina, Giese, Nina, Griewank, Klaus, Hallasch, Sandra, Hanhart, Zdenka, Herz, Saskia, Hohaus, Katja, Jansen, Philipp, Jockenhöfer, Finja, Kanaki, Theodora, Leonhard, Katja, Matei, Liliana, Olischewski, Alexandra, Placke, Jan-Malte, Raub, Simon, Salva, Katrin, Sody, Elsa, Steingrube, Nadine, Ugurel, Selma, Sondermann, Wiebke, Zaremba, Anne, Gebhardt, Christoffer, Booken, Nina, Enk, Alexander, Gholam, Patrick, Hänßle, Holger, Salzmann, Martin, Schäfer, Sarah, Schäkel, Knut, Deffaa, Sophia, Drerup, Katharina, Erkens, Anna-Sophie, Ewald, Benjamin, Falkvoll, Sandra, Gerdes, Sascha, Hauschild, Axel, Kosova, Katja, Metzner, Malte, Morrison, Kirsten, Motamedi, Rogina, Pinczker, Anja, Rosenthal, Anne, Scheller, Natalie, Stölzl, Dora, Thielking, Federieke, Tomaschewski, Elena, Weichenthal, Michael, Bär, Claudia Maria, Karoglan, Ante, Faulhaber, Jörg, Guo, Ze, Koch, Philipp, Linke, Miriam, Müller, Verena, Utikal, Jochen Sven, Alamri, Ali Saeed M., Betke, Matthias, Haas, Carolin, Hartmann, Daniela, Heppt, Markus V., Kilian, Katharina, Krammer, Sebastian, Lapczynski, Natalie Lidia, Mastnik, Sebastian, Nasifoglu, Suzan, Ruini, Cristel, Sattler, Elke, Schlaak, Max, Wolff, Hans, Achatz, Birgit, Drexler, Konstantin, Haferkamp, Sebastian, Halupczok, Anna, Hegemann, Marie, Dinauer, Verena, Maagk, Maria, Mickler, Marion, Philipp, Biance, Wilm, Anna, Wittmann, Constanze, Gesierich, Anja, Glutsch, Valerie, Kahlert, Katrin, Kerstan, Andreas, Schilling, Bastian

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