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pro vyhledávání: '"Sasse, Leonard"'
Mutation validation (MV) is a recently proposed approach for model selection, garnering significant interest due to its unique characteristics and potential benefits compared to the widely used cross-validation (CV) method. In this study, we empirica
Externí odkaz:
http://arxiv.org/abs/2311.14079
Autor:
Sasse, Leonard, Nicolaisen-Sobesky, Eliana, Dukart, Juergen, Eickhoff, Simon B., Götz, Michael, Hamdan, Sami, Komeyer, Vera, Kulkarni, Abhijit, Lahnakoski, Juha, Love, Bradley C., Raimondo, Federico, Patil, Kaustubh R.
Machine learning (ML) provides powerful tools for predictive modeling. ML's popularity stems from the promise of sample-level prediction with applications across a variety of fields from physics and marketing to healthcare. However, if not properly i
Externí odkaz:
http://arxiv.org/abs/2311.04179
Autor:
Hamdan, Sami, More, Shammi, Sasse, Leonard, Komeyer, Vera, Patil, Kaustubh R., Raimondo, Federico
The fast-paced development of machine learning (ML) methods coupled with its increasing adoption in research poses challenges for researchers without extensive training in ML. In neuroscience, for example, ML can help understand brain-behavior relati
Externí odkaz:
http://arxiv.org/abs/2310.12568
Autor:
Omidvarnia, Amir1,2 (AUTHOR) a.omidvarnia@fz-juelich.de, Sasse, Leonard1,2,3 (AUTHOR), Larabi, Daouia I.4 (AUTHOR), Raimondo, Federico1,2 (AUTHOR), Hoffstaedter, Felix1,2 (AUTHOR), Kasper, Jan1,2 (AUTHOR), Dukart, Jürgen1,2 (AUTHOR), Petersen, Marvin5 (AUTHOR), Cheng, Bastian5 (AUTHOR), Thomalla, Götz5 (AUTHOR), Eickhoff, Simon B.1,2 (AUTHOR), Patil, Kaustubh R.1,2 (AUTHOR)
Publikováno v:
Communications Biology. 6/26/2024, Vol. 7 Issue 1, p1-12. 12p.
Autor:
Sasse, Leonard1,2,3 (AUTHOR), Larabi, Daouia I.1,2 (AUTHOR), Omidvarnia, Amir1,2 (AUTHOR), Jung, Kyesam1,2 (AUTHOR), Hoffstaedter, Felix1,2 (AUTHOR), Jocham, Gerhard4 (AUTHOR), Eickhoff, Simon B.1,2 (AUTHOR), Patil, Kaustubh R.1,2 (AUTHOR) k.patil@fz-juelich.de
Publikováno v:
Communications Biology. 7/10/2023, Vol. 6 Issue 1, p1-14. 14p.
The two volume set LNCS 14641 and 14642 constitutes the proceedings of the 22nd International Symposium on Intelligent Data Analysis, IDA 2024, which was held in Stockholm, Sweden, during April 24-26, 2024. The 40 full and 3 short papers included in
This book constitutes the proceedings of the 21st International Symposium on Intelligent Data Analysis, IDA 2022, which was held in Louvain-la-Neuve, Belgium, during April 12-14, 2023. The 38 papers included in this book were carefully reviewed and s