Kaustubh R. Patil

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 23

Top Venues

Saarland University (PHD)

Education History

Saarland University

PHD

Publications

Jinyang Yu, Sami Hamdan, Leonard Sasse, Abigail Morrison, Kaustubh R. Patil
Empirical Comparison Between Cross-Validation and Mutation-Validation in Model Selection. IDA (2) (2024)
Xiaoliang Luo, Akilles Rechardt, Guangzhi Sun, Kevin K. Nejad, Felipe Yáñez, Bati Yilmaz, Kangjoo Lee, Alexandra O. Cohen, Valentina Borghesani, Anton Pashkov, Daniele Marinazzo, Jonathan Nicholas, Alessandro Salatiello, Ilia Sucholutsky, Pasquale Minervini, Sepehr Razavi, Roberta Rocca, Elkhan Yusifov, Tereza Okalova, Nianlong Gu, Martin Ferianc, Mikail Khona, Kaustubh R. Patil, Pui-Shee Lee, Rui Mata, Nicholas E. Myers, Jennifer K. Bizley, Sebastian Musslick, Isil Poyraz Bilgin, Guiomar Niso, Justin M. Ales, Michael Gaebler, N. Apurva Ratan Murty, Leyla Loued-Khenissi, Anna Behler, Chloe M. Hall, Jessica Dafflon, Sherry Dongqi Bao, Bradley C. Love
Large language models surpass human experts in predicting neuroscience results. CoRR (2024)
Shammi More, Georgios Antonopoulos, Felix Hoffstaedter, Julian Caspers, Simon B. Eickhoff, Kaustubh R. Patil
Brain-age prediction: A systematic comparison of machine learning workflows. NeuroImage 270 (2023)
Jinyang Yu, Sami Hamdan, Leonard Sasse, Abigail Morrison, Kaustubh R. Patil
Empirical Comparison between Cross-Validation and Mutation-Validation in Model Selection. CoRR (2023)
Leonard Sasse, Eliana Nicolaisen-Sobesky, Juergen Dukart, Simon B. Eickhoff, Michael Götz, Sami Hamdan, Vera Komeyer, Abhijit Kulkarni, Juha Lahnakoski, Bradley C. Love, Federico Raimondo, Kaustubh R. Patil
On Leakage in Machine Learning Pipelines. CoRR (2023)
Xuan Li, Patrick Friedrich, Kaustubh R. Patil, Simon B. Eickhoff, Susanne Weis
A topography-based predictive framework for naturalistic viewing fMRI. NeuroImage 277 (2023)
Sami Hamdan, Shammi More, Leonard Sasse, Vera Komeyer, Kaustubh R. Patil, Federico Raimondo
Julearn: an easy-to-use library for leakage-free evaluation and inspection of ML models. CoRR (2023)
Nikolay Dagaev, Brett D. Roads, Xiaoliang Luo, Daniel N. Barry, Kaustubh R. Patil, Bradley C. Love
A too-good-to-be-true prior to reduce shortcut reliance. Pattern Recognit. Lett. 166 (2023)
Georgios Antonopoulos, Shammi More, Federico Raimondo, Simon B. Eickhoff, Felix Hoffstaedter, Kaustubh R. Patil
A systematic comparison of VBM pipelines and their application to age prediction. NeuroImage 279 (2023)
Jean-Philippe Kröll, Patrick Friedrich, Xuan Li, Kaustubh R. Patil, Lisa Mochalski, Laura Waite, Xing Qian, Michael W. L. Chee, Juan Helen Zhou, Simon B. Eickhoff, Susanne Weis
Naturalistic viewing increases individual identifiability based on connectivity within functional brain networks. NeuroImage 273 (2023)
María Goñi, Simon B. Eickhoff, Mehran Sahandi Far, Kaustubh R. Patil, Juergen Dukart
Smartphone-Based Digital Biomarkers for Parkinson's Disease in a Remotely-Administered Setting. IEEE Access 10 (2022)
Kaustubh R. Patil, Simon B. Eickhoff, Robert Langner
Predictive Data Calibration for Linear Correlation Significance Testing. CoRR (2022)
Sami Hamdan, Bradley C. Love, Georg G. von Polier, Susanne Weis, Holger Schwender, Simon B. Eickhoff, Kaustubh R. Patil
Confound-leakage: Confound Removal in Machine Learning Leads to Leakage. CoRR (2022)
Xiaojin Liu, Simon B. Eickhoff, Svenja Caspers, Jianxiao Wu, Sarah Genon, Felix Hoffstaedter, Rogier B. Mars, Iris E. Sommer, Claudia R. Eickhoff, Ji Chen, Renaud Jardri, Kathrin Reetz, Imis Dogan, André Aleman, Lydia Kogler, Oliver Gruber, Julian Caspers, Christian Mathys, Kaustubh R. Patil
Functional parcellation of human and macaque striatum reveals human-specific connectivity in the dorsal caudate. NeuroImage 235 (2021)
Nikolay Dagaev, Brett D. Roads, Xiaoliang Luo, Daniel N. Barry, Kaustubh R. Patil, Bradley C. Love
A Too-Good-to-be-True Prior to Reduce Shortcut Reliance. CoRR (2021)
Patrick Friedrich, Stephanie J. Forkel, Céline Amiez, Joshua H. Balsters, Olivier Coulon, Lingzhong Fan, Alexandros Goulas, Fadila Hadj-Bouziane, Erin E. Hecht, Katja Heuer, Tianzi Jiang, Robert D. Latzman, Xiaojin Liu, KepKee Loh, Kaustubh R. Patil, Alizée Lopez-Persem, Emmanuel Procyk, Jérôme Sallet, Michel Thiebaut de Schotten
Imaging evolution of the primate brain: the next frontier? NeuroImage 228 (2021)
Jean-Philippe Kröll, Simon B. Eickhoff, Felix Hoffstaedter, Kaustubh R. Patil
Evolving complex yet interpretable representations: application to Alzheimer's diagnosis and prognosis. CEC (2020)
Shammi More, Simon B. Eickhoff, Julian Caspers, Kaustubh R. Patil
Confound Removal and Normalization in Practice: A Neuroimaging Based Sex Prediction Case Study. ECML/PKDD (5) (2020)
Laura Muzzarelli, Susanne Weis, Simon B. Eickhoff, Kaustubh R. Patil
Rank Selection in Non-negative Matrix Factorization: systematic comparison and a new MAD metric. IJCNN (2019)
Deepthi P. Varikuti, Sarah Genon, Aristeidis Sotiras, Holger Schwender, Felix Hoffstaedter, Kaustubh R. Patil, Christiane Jockwitz, Svenja Caspers, Susanne Moebus, Katrin Amunts, Christos Davatzikos, Simon B. Eickhoff
Evaluation of non-negative matrix factorization of grey matter in age prediction. NeuroImage 173 (2018)
Guillem Collell, Drazen Prelec, Kaustubh R. Patil
A simple plug-in bagging ensemble based on threshold-moving for classifying binary and multiclass imbalanced data. Neurocomputing 275 (2018)
Gagan Joshi, Sheeba Arnold Anteraper, Kaustubh R. Patil, Meha Semwal, Rachel L. Goldin, Stephannie L. Furtak, Xiaoqian J. Chai, Zeynep M. Saygin, John D. E. Gabrieli, Joseph Biederman, Susan L. Whitfield-Gabrieli
Integration and Segregation of Default Mode Network Resting-State Functional Connectivity in Transition-Age Males with High-Functioning Autism Spectrum Disorder: A Proof-of-Concept Study. Brain Connect. 7 (9) (2017)
Guillem Collell, Drazen Prelec, Kaustubh R. Patil
Reviving Threshold-Moving: a Simple Plug-in Bagging Ensemble for Binary and Multiclass Imbalanced Data. CoRR (2016)
Kaustubh R. Patil, Xiaojin Zhu, Lukasz Kopec, Bradley C. Love
Optimal Teaching for Limited-Capacity Human Learners. NIPS (2014)
Kaustubh R. Patil, Abhijit Kulkarni
Kernel-enabled methods for subspace regression and efficient control. Int. J. Model. Identif. Control. 5 (2) (2008)

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Publication Activity (10 Years)

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Kaustubh R. Patil