For full and up-to-date publication list see my Google Scholar Page.
B. Neuhof, Y. Benjamini (2024), Confident Feature Ranking AISTATS [journal, github]
I. Faran, M. Peer, S. Arzy, Y. Benjamini (Preprint 2021), Detecting Differences Between Correlation-Matrix Populations due to Single-variable Perturbations, with Application to Resting State fMRI [Arxiv]
Y. Benjamini, J. Taylor, R. A. Irizarry (2018), Selection corrected statistical inference for region detection with high-throughput assays, JASA. [journal, pdf, software]
K. D. Korthauer, S. Chakraborty, Y. Benjamini, R. A. Irizarry (2018), Detection and accurate False Discovery Rate control of differentially methylated regions from Whole Genome Bisulfite Sequencing, Biostatistics. [journal, pdf, software]
A. Meir, Y. Benjamini (Preprint 2019), Valid Inference for selected regions of interest with application to fMRI studies. [pdf]
Y. Slavutsky, Y. Benjamini (Preprint 2023), Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations, [arXiv]
Y. Slavutsky, Y. Benjamini (2021), Predicting classification accuracy when adding more classes, ICLR [arXiv, openreview]
J. D. Rosenblatt, Y. Benjamini, R. Gilron, R. Mukamel, J. J. Goeman (2019), Better-Than-Chance classification for signal detection, Biostatistics [journal, Arxiv]
C. Y. Zheng, R, Achanta, Y. Benjamini (2018), Extrapolating expected accuracies for multi-class classification, JMLR [journal, git]
C. Y. Zheng, Y. Benjamini, (preprint 2016) Estimating mutual information in high dimensions via classification error [Arxiv, software]
E. Margulis, Y. Slavutsky, T. Lang, M. Behrens, Y. Benjamini, M.Y. Niv (2022) BitterMatch: Recommendation systems for matching molecules with bitter taste receptors Journal of Cheminformatics [journal, Biorxiv]
Y. Benjamini and B. Yu (2012), The shuffle estimator for explainable variance in fMRI experiments, Annals of Applied Statistics [journal, pdf, software].
S. Nishimoto, A.T. Vu, T. Naselaris, Y. Benjamini, B. Yu and J.L. Gallant (2011) Reconstructing visual experiences from brain activity evoked by natural movies, Current Biology. [journal, pdf]
H. E. Nustad, et al. (2015). Dependency structures in 450k DNA methylation data Bioinformatics [journal].
G.D. Evrony, E. Lee, B.K. Mehta, Y. Benjamini, R.M. Johnson, et al. (2015). Cell lineage analysis in human brain using endogenous retro-elements. Neuron [journal, pdf]
D. Chandrananda, N. Thorne, D. Ganesamoorth, D. Bruno, Y. Benjamini, T.P. Speed, et al. (2014) Investigating and correcting plasma DNA sequencing coverage bias to enhance aneuploidy discovery PLOS ONE [journal].
Y. Benjamini and T.P. Speed (2012), Summarizing and correcting the GC content bias in high-throughput sequencing. NAR [journal, pdf, software]
Opthalmology [Eyetemis website]
Y. Kan-Tor, A. Abulafia, ...Y. Benjamini (2024), Spherical Equivalent Prediction Analysis in IOL Power Calculations Using Eyetemis, A Comprehensive Approach J. of Cataract & Ref. Surgery [journal]
Social Networks
M. Levinson, L Ayalon, Y Benjamini (2023) Gender homophily and gender distribution in social networks: the case of older adults in long term care settings Social Networks [journal]
COVID
N. Karni, H. Klein, K. Asseo, Y. Benjamini, S. Israel, M. Nimri, K. Olstein R. Nir-Paz, A. Hershko, M. Muszkat, M.Y. Niv (2021), Self-rated smell ability enables highly specific predictors of COVID-19 status: a case control study in Israel. Open Forum Infectious Diseases [journal, pdf, preprint].
H. Klein, K. Asseo, N. Karni, Y. Benjamini, R. Nir-Paz, M. Muszkat, S. Israel, M. Y. Niv (2021),
Onset, duration and unresolved symptoms, including smell and taste changes, in mild COVID-19 infections. A cohort study in Israeli patients. Clinical Microbiology and Infection.