Learning tensorflow: A guide to building deep learning systems T Hope, YS Resheff, I Lieder O'Reilly Media, Inc., 2017 | 82 | 2017 |
The challenges of the first migration: movement and behaviour of juvenile vs. adult white storks with insights regarding juvenile mortality S Rotics, M Kaatz, YS Resheff, SF Turjeman, D Zurell, N Sapir, U Eggers, ... Journal of Animal Ecology 85 (4), 938-947, 2016 | 76 | 2016 |
AcceleRater: a web application for supervised learning of behavioral modes from acceleration measurements YS Resheff, S Rotics, R Harel, O Spiegel, R Nathan Movement ecology 2 (1), 1-7, 2014 | 72 | 2014 |
Wintering in Europe instead of Africa enhances juvenile survival in a long-distance migrant S Rotics, S Turjeman, M Kaatz, YS Resheff, D Zurell, N Sapir, U Eggers, ... Animal Behaviour 126, 79-88, 2017 | 42 | 2017 |
Optimizing the timing of unmanned aerial vehicle image acquisition for applied mapping of woody vegetation species using feature selection G Weil, IM Lensky, YS Resheff, N Levin Remote Sensing 9 (11), 1130, 2017 | 16 | 2017 |
A wavelet-based approach to monitoring Parkinson's disease symptoms A Wagner, N Fixler, YS Resheff 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 8 | 2017 |
Using accelerometry to compare costs of extended migration in an arctic herbivore MD Weegman, S Bearhop, GM Hilton, AJ Walsh, L Griffin, YS Resheff, ... Current zoology 63 (6), 667-674, 2017 | 7 | 2017 |
A gradient boosting machine learning model for predicting early mortality in the emergency department triage: devising a nine-point triage score M Klug, Y Barash, S Bechler, YS Resheff, T Tron, A Ironi, S Soffer, ... Journal of general internal medicine 35 (1), 220-227, 2020 | 6 | 2020 |
Online Trajectory Segmentation and Summary With Applications to Visualization and Retrieval YS Resheff IEEE International Conference on Big Data (Big Data) 2016, 2016 | 6 | 2016 |
Fusing Multifaceted Transaction Data for User Modeling and Demographic Prediction YS Resheff, M Shahar Workshop on Multi-dimensional Information Fusion for User Modeling and …, 2018 | 5 | 2018 |
Real-time schizophrenia monitoring using wearable motion sensitive devices T Tron, YS Resheff, M Bazhmin, A Peled, D Weinshall International Conference on Wireless Mobile Communication and Healthcare …, 2017 | 5 | 2017 |
Controlling Imbalanced Error in Deep Learning with the Log Bilinear Loss YS Resheff, A Mandelbom, D Weinshall First International Workshop on Learning with Imbalanced Domains: Theory and …, 2017 | 5* | 2017 |
Matrix factorization approach to behavioral mode analysis from acceleration data YS Resheff, S Rotics, R Nathan, D Weinshall 2015 IEEE international conference on data science and advanced analytics …, 2015 | 4 | 2015 |
Promoting head CT exams in the emergency department triage using a machine learning model E Klang, Y Barash, S Soffer, S Bechler, YS Resheff, T Granot, M Shahar, ... Neuroradiology 62 (2), 153-160, 2020 | 3 | 2020 |
Privacy and fairness in recommender systems via adversarial training of user representations YS Resheff, Y Elazar, M Shahar, OS Shalom arXiv preprint arXiv:1807.03521, 2018 | 3 | 2018 |
Arima-based motor anomaly detection in schizophrenia inpatients T Tron, YS Resheff, M Bazhmin, D Weinshall, A Peled 2018 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2018 | 3 | 2018 |
Optimized Linear Imputation YS Resheff, D Weinshall Proceedings of the 6th International Conference on Pattern Recognition …, 2017 | 3 | 2017 |
Topic modeling of behavioral modes using sensor data YS Resheff, S Rotics, R Nathan, D Weinshall International Journal of Data Science and Analytics 1 (1), 51-60, 2016 | 3 | 2016 |
Privacy-Preserving Decision Tree Training and Prediction against Malicious Server A Akavia, M Leibovich, YS Resheff, R Ron, M Shahar, M Vald | 2 | 2020 |
Topic models for automated motor analysis in schizophrenia patients T Tron, YS Resheff, M Bazhmin, A Grinshpoon, A Peled, D Weinshall Body sensor networks (BSN), 2018 IEEE international conference on. IEEE, 2018 | 2 | 2018 |