Elias Chaibub Neto

24 papers A* 4Misc 3Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	TabSDS: a Lightweight, Fully Non-Parametric, and Model Free Approach for Generating Synthetic Tabular Data. ICML Elias Chaibub Neto
2024	J	`jnl`	A novel estimator for the two-way partial AUC. BMC Medical Informatics Decis. Mak. Elias Chaibub Neto, Vijay Yadav, Solveig K. Sieberts, Larsson Omberg
2024	J	`jnl`	Causality-Aware Predictions in Static Anticausal Machine Learning Tasks. IEEE Trans. Neural Networks Learn. Syst. Elias Chaibub Neto
2024	J	`jnl`	Comparative Assessment of Multimodal Sensor Data Quality Collected Using Android and iOS Smartphones in Real-World Settings. Sensors Ramzi Halabi, Rahavi Selvarajan, Zixiong Lin, Calvin Herd, Xueying Li, Jana Kabrit, Meghasyam Tummalacherla, Elias Chaibub Neto, Abhishek Pratap
2024	J	`jnl`	Statistical disclosure control for numeric microdata via sequential joint probability preserving data shuffling. Trans. Data Priv. Elias Chaibub Neto
2021	A*	`conf`	Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners. ICML Elias Chaibub Neto
2021	J	`jnl`	Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. npj Digit. Medicine Solveig K. Sieberts, Jennifer Schaff, Marlena Duda, Bálint Á Pataki, Ming Sun, Phil Snyder, Jean-Francois Daneault, Federico Parisi, Gianluca Costante, Udi Rubin, Peter Banda, Yooree Chae, Elias Chaibub Neto, Earl Ray Dorsey, Zafer Aydin, Aipeng Chen, Laura L. Elo, Carlos Espino, Enrico Glaab, Ethan Goan, Fatemeh Noushin Golabchi, Yasin Görmez, Maria K. Jaakkola, Jitendra Jonnagaddala, Riku Klén, Dongmei Li, Christian McDaniel, Dimitri Perrin, Thanneer M. Perumal, Nastaran Mohammadian Rad, Erin Rainaldi, Stefano Sapienza, Patrick Schwab, Nikolai Shokhirev, Mikko S. Venäläinen, Gloria Vergara-Diaz, Yuqian Zhang, Avner G. S. Abrami, Aditya Adhikary, Carla Agurto, Sherry Bhalla, Halil Ibrahim Bilgin, Vittorio Caggiano, Jun Cheng, Eden Deng, Qiwei Gan, Rajan Girsa, Zhi Han, Stephen Heisig, Kun Huang, Samad Jahandideh, Wolfgang Kopp, Christoph F. Kurz, Gregor Lichtner, Raquel Norel, G. P. S. Raghava, Tavpritesh Sethi, Nicholas Shawen, Vaibhav Tripathi, Matthew Tsai, Tongxin Wang, Yi Wu, Jie Zhang, Xinyu Zhang, Yuanjia Wang, Yuanfang Guan, Daniela Brunner, Paolo Bonato, Lara M. Mangravite, Larsson Omberg
2020	A*	`conf`	A Causal Look at Statistical Definitions of Discrimination. KDD Elias Chaibub Neto
2020	J	`jnl`	Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners. CoRR Elias Chaibub Neto
2020	J	`jnl`	Counterfactual confounding adjustment for feature representations learned by deep models: with an application to image classification tasks. CoRR Elias Chaibub Neto
2020	J	`jnl`	Indicators of retention in remote digital health studies: a cross-study evaluation of 100, 000 participants. npj Digit. Medicine Abhishek Pratap, Elias Chaibub Neto, Phil Snyder, Carl Stepnowsky, Noémie Elhadad, Daniel Grant, Matthew H. Mohebbi, Sean D. Mooney, Christine Suver, John Wilbanks, Lara M. Mangravite, Patrick J. Heagerty, Pat A. Areán, Larsson Omberg
2020	J	`jnl`	Stable predictions for health related anticausal prediction tasks affected by selection biases: the need to deconfound the test set features. CoRR Elias Chaibub Neto, Phil Snyder, Solveig K. Sieberts, Larsson Omberg
2019	A*	`conf`	A Permutation Approach to Assess Confounding in Machine Learning Applications for Digital Health. KDD Elias Chaibub Neto, Abhishek Pratap, Thanneer M. Perumal, Meghasyam Tummalacherla, Brian M. Bot, Lara M. Mangravite, Larsson Omberg
2019	J	`jnl`	Detecting the impact of subject characteristics on machine learning-based diagnostic applications. npj Digit. Medicine Elias Chaibub Neto, Abhishek Pratap, Thanneer M. Perumal, Meghasyam Tummalacherla, Phil Snyder, Brian M. Bot, Andrew D. Trister, Stephen H. Friend, Lara M. Mangravite, Larsson Omberg
2019	J	`jnl`	Indicators of retention in remote digital health studies: A cross-study evaluation of 100, 000 participants. CoRR Abhishek Pratap, Elias Chaibub Neto, Phil Snyder, Carl Stepnowsky, Noémie Elhadad, Daniel Grant, Matthew H. Mohebbi, Sean D. Mooney, Christine Suver, John Wilbanks, Lara M. Mangravite, Patricki J. Heagerty, Pat A. Areán, Larsson Omberg
2018	J	`jnl`	Detecting Learning vs Memorization in Deep Neural Networks using Shared Structure Validation Sets. CoRR Elias Chaibub Neto
2018	—	`conf`	Remote Assessment, in Real-World Setting, of Tremor Severity in Parkinson's Disease Patients Using Smartphone Inertial Sensors. UbiComp/ISWC Adjunct Thanneer M. Perumal, Meghasyam Tummalacherla, Phil Snyder, Elias Chaibub Neto, Earl Ray Dorsey, Lara M. Mangravite, Larsson Omberg
2017	J	`jnl`	Mindboggling morphometry of human brains. PLoS Comput. Biol. Arno Klein, Satrajit S. Ghosh, Forrest Sheng Bao, Joachim Giard, Yrjö Häme, Eliezer Stavsky, Noah Lee, Brian Rossa, Martin Reuter, Elias Chaibub Neto, Anisha Keshavan
2017	—	`conf`	The feasibility of using smartphones to assess and remediate depression in Hispanic/Latino individuals nationally. UbiComp/ISWC Adjunct Abhishek Pratap, Joaquin A. Anguera, Brenna N. Renn, Elias Chaibub Neto, Joshua Volponi, Sean D. Mooney, Pat A. Areán
2016	Misc	`conf`	Personalized Hypothesis Tests for Detecting Medication Response in Parkinson Disease Patients Using iPhone Sensor Data. PSB Elias Chaibub Neto, Brian M. Bot, Thanneer M. Perumal, Larsson Omberg, Justin Guinney, Mike Kellen, Arno Klein, Stephen H. Friend, Andrew D. Trister
2015	J	`jnl`	DREAMTools: a Python package for scoring collaborative challenges. F1000Research Thomas Cokelaer, Mukesh Bansal, Christopher Bare, Erhan Bilal, Brian M. Bot, Elias Chaibub Neto, Federica Eduati, Mehmet Gönen, Steven M. Hill, Bruce R. Hoff, Jonathan R. Karr, Robert Küffner, Michael P. Menden, Pablo Meyer, Raquel Norel, Abhishek Pratap, Robert J. Prill, Matthew T. Weirauch, James C. Costello, Gustavo Stolovitzky, Julio Saez-Rodriguez
2015	J	`jnl`	Identifying robust clusters and multi-community nodes by combining top-down and bottom-up approaches to clustering. CoRR Chris Gaiteri, Mingming Chen, Boleslaw K. Szymanski, Konstantin Kuzmin, Jierui Xie, Changkyu Lee, Timothy Blanche, Elias Chaibub Neto, Su-Chun Huang, Thomas J. Grabowski, Tara M. Madhyastha, Vitalina Komashko
2014	Misc	`conf`	Systematic Assessment of Analytical Methods for Drug Sensitivity Prediction from Cancer Cell Line Data. Pacific Symposium on Biocomputing In Sock Jang, Elias Chaibub Neto, Justin Guinney, Stephen H. Friend, Adam A. Margolin
2014	Misc	`conf`	The Stream Algorithm: Computationally Efficient Ridge-Regression via Bayesian Model Averaging, and Applications to Pharmacogenomic Prediction of Cancer Cell Line Sensitivity. Pacific Symposium on Biocomputing Elias Chaibub Neto, In Sock Jang, Stephen H. Friend, Adam A. Margolin