Kaustubh R. Patil

34 papers B 2Journal 26Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Impact of leakage on data harmonization in machine learning pipelines in class imbalance across sites. Neurocomputing Nicolás Nieto, Simon B. Eickhoff, Christian Jung, Martin Reuter, Kersten Diers, Malte Kelm, Artur Lichtenberg, Federico Raimondo, Kaustubh R. Patil
2025	J	`jnl`	Overview of leakage scenarios in supervised machine learning. J. Big Data 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
2025	J	`jnl`	Region-wise stacking ensembles for estimating brain-age using MRI. CoRR Georgios Antonopoulos, Shammi More, Simon B. Eickhoff, Federico Raimondo, Kaustubh R. Patil
2025	J	`jnl`	Region-wise stacking ensembles for estimating brain-age using structural MRI. Comput. Biol. Medicine Georgios Antonopoulos, Shammi More, Simon B. Eickhoff, Federico Raimondo, Kaustubh R. Patil
2025	—	`conf`	When to Harmonize? Evaluating Stage-Specific Harmonization in Federated Brain Age Estimation. ICKG Tanurima Halder, Kunal Deo, Nicolás Nieto, Kaustubh R. Patil, Kshitij S. Jadhav
2024	—	`conf`	Empirical Comparison Between Cross-Validation and Mutation-Validation in Model Selection. IDA (2) Jinyang Yu, Sami Hamdan, Leonard Sasse, Abigail Morrison, Kaustubh R. Patil
2024	—	`conf`	FastGPR: Divide-and-Conquer Technique in Neuroimaging Data Shortens Training Time and Improves Accuracy. ISBI Federico Raimondo, Georgios Antonopoulos, Simon B. Eickhoff, Kaustubh R. Patil
2024	J	`jnl`	Impact of Leakage on Data Harmonization in Machine Learning Pipelines in Class Imbalance Across Sites. CoRR Nicolás Nieto, Simon B. Eickhoff, Christian Jung, Martin Reuter, Kersten Diers, Malte Kelm, Artur Lichtenberg, Federico Raimondo, Kaustubh R. Patil
2024	J	`jnl`	Large language models surpass human experts in predicting neuroscience results. CoRR 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
2024	J	`jnl`	The impact of MRI image quality on statistical and predictive analysis on voxel based morphology. CoRR Felix Hoffstaedter, Nicolás Nieto, Simon B. Eickhoff, Kaustubh R. Patil
2023	J	`jnl`	A systematic comparison of VBM pipelines and their application to age prediction. NeuroImage Georgios Antonopoulos, Shammi More, Federico Raimondo, Simon B. Eickhoff, Felix Hoffstaedter, Kaustubh R. Patil
2023	J	`jnl`	A too-good-to-be-true prior to reduce shortcut reliance. Pattern Recognit. Lett. Nikolay Dagaev, Brett D. Roads, Xiaoliang Luo, Daniel N. Barry, Kaustubh R. Patil, Bradley C. Love
2023	J	`jnl`	A topography-based predictive framework for naturalistic viewing fMRI. NeuroImage Xuan Li, Patrick Friedrich, Kaustubh R. Patil, Simon B. Eickhoff, Susanne Weis
2023	J	`jnl`	Brain-age prediction: A systematic comparison of machine learning workflows. NeuroImage Shammi More, Georgios Antonopoulos, Felix Hoffstaedter, Julian Caspers, Simon B. Eickhoff, Kaustubh R. Patil
2023	J	`jnl`	Empirical Comparison between Cross-Validation and Mutation-Validation in Model Selection. CoRR Jinyang Yu, Sami Hamdan, Leonard Sasse, Abigail Morrison, Kaustubh R. Patil
2023	J	`jnl`	Julearn: an easy-to-use library for leakage-free evaluation and inspection of ML models. CoRR Sami Hamdan, Shammi More, Leonard Sasse, Vera Komeyer, Kaustubh R. Patil, Federico Raimondo
2023	J	`jnl`	Naturalistic viewing increases individual identifiability based on connectivity within functional brain networks. NeuroImage Jean-Philippe Kröll, Patrick Friedrich, Xuan Li, Kaustubh R. Patil, Lisa Mochalski, Laura K. Waite, Xing Qian, Michael W. L. Chee, Juan Helen Zhou, Simon B. Eickhoff, Susanne Weis
2023	J	`jnl`	On Leakage in Machine Learning Pipelines. CoRR 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
2022	J	`jnl`	Confound-leakage: Confound Removal in Machine Learning Leads to Leakage. CoRR Sami Hamdan, Bradley C. Love, Georg G. von Polier, Susanne Weis, Holger Schwender, Simon B. Eickhoff, Kaustubh R. Patil
2022	J	`jnl`	Predictive Data Calibration for Linear Correlation Significance Testing. CoRR Kaustubh R. Patil, Simon B. Eickhoff, Robert Langner
2022	J	`jnl`	Smartphone-Based Digital Biomarkers for Parkinson's Disease in a Remotely-Administered Setting. IEEE Access María Goñi, Simon B. Eickhoff, Mehran Sahandi Far, Kaustubh R. Patil, Juergen Dukart
2021	J	`jnl`	A Too-Good-to-be-True Prior to Reduce Shortcut Reliance. CoRR Nikolay Dagaev, Brett D. Roads, Xiaoliang Luo, Daniel N. Barry, Kaustubh R. Patil, Bradley C. Love
2021	J	`jnl`	Functional parcellation of human and macaque striatum reveals human-specific connectivity in the dorsal caudate. NeuroImage 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
2021	J	`jnl`	Imaging evolution of the primate brain: the next frontier? NeuroImage 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, Roberto Toro, Sam Vickery, Susanne Weis, Charles R. E. Wilson, Ting Xu, Valerio Zerbi, Simon B. Eickhoff, Daniel S. Margulies, Rogier B. Mars, Michel Thiebaut de Schotten
2020	—	`conf`	Confound Removal and Normalization in Practice: A Neuroimaging Based Sex Prediction Case Study. ECML/PKDD (5) Shammi More, Simon B. Eickhoff, Julian Caspers, Kaustubh R. Patil
2020	B	`conf`	Evolving complex yet interpretable representations: application to Alzheimer's diagnosis and prognosis. CEC Jean-Philippe Kröll, Simon B. Eickhoff, Felix Hoffstaedter, Kaustubh R. Patil
2019	B	`conf`	Rank Selection in Non-negative Matrix Factorization: systematic comparison and a new MAD metric. IJCNN Laura Muzzarelli, Susanne Weis, Simon B. Eickhoff, Kaustubh R. Patil
2018	J	`jnl`	A simple plug-in bagging ensemble based on threshold-moving for classifying binary and multiclass imbalanced data. Neurocomputing Guillem Collell, Drazen Prelec, Kaustubh R. Patil
2018	J	`jnl`	Evaluation of non-negative matrix factorization of grey matter in age prediction. NeuroImage 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
2017	J	`jnl`	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. 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
2016	J	`jnl`	Reviving Threshold-Moving: a Simple Plug-in Bagging Ensemble for Binary and Multiclass Imbalanced Data. CoRR Guillem Collell, Drazen Prelec, Kaustubh R. Patil
2014	—	`conf`	Optimal Teaching for Limited-Capacity Human Learners. NIPS Kaustubh R. Patil, Xiaojin Zhu, Lukasz Kopec, Bradley C. Love
2013	—	`—`	Genome signature based sequence comparison for taxonomic assignment and tree inference. Kaustubh R. Patil
2008	J	`jnl`	Kernel-enabled methods for subspace regression and efficient control. Int. J. Model. Identif. Control. Kaustubh R. Patil, Abhijit Kulkarni