About
The Machine Learning for Health and Well-Being (MLwell) Lab is a research lab at the Bio-Medical Engineering department at Tel-Aviv University. Our vision is to create the technology to allow everyone and everywhere access to personalized medicine and precision psychology that is: (i) effective (ii) respects the biological, cultural and behavioral differences between people (iii) respects privacy and other ethical requirements (iv) affordable. Our mission is to improve the state in the art in machine learning algorithms for personalized medicine and precision psychology.
Our News
New Paper
PyBryt: auto-assessment and auto-grading for computational thinking
In a new technical report we introduce a new tool for auto-grading and auto-assessment to support the learning of computations thinking skills
Announcement
Congratulations to Amnon Catav for defending his thesis
Congratulations to Amnon Catav for successfully defending his Master's thesis
New Paper
Break your Bandit Routine with LSD Rewards: a Last Switch Dependent Analysis of Satiation and Seasonality
In a new technical report we discuss a version of the multi-armed bandit problem that is designed to delivering interventions to people and takes into account novelty effects.
Announcement
Congratulations to Gon Shoham for defending his thesis
Congratulations to Gon Shoham for successfully defending his Master's thesis
Announcement
Congratulations to Roy Hirsch for defending his thesis
Congratulations to Roy Hirsch for successfully defending his Master's thesis
Announcement
Congratulations to Omri Armstrong for defending his thesis
Congratulations to Omri Armstrong for successfully defending his Master's thesis
New Paper
Marginal Contribution Feature Importance-an Axiomatic Approach for Explaining Data
The paper studies way to assign feature importance in order to gain insights about data appeared in ICML 2021
New Paper
Trees with Attention for Set Prediction Tasks
In a new ICML 2021 paper we shows how decision trees can be applied to data with sets. Empirical results show it is on par and sometimes outperforms deep learning.
New Paper
Robust Model Compression Using Deep Hypotheses
In a paper published in AAAI 2021 we show a new method to compress large models. The method allows compressing across model types such that a big neural network can be compressed to a tree and vice-versa.
New Paper
Detecting Impending Stroke From Cognitive Traits Evident in Internet Searches: Analysis of Archival Data
In a paper in the Journal of Medical Internet Research we show that early signs of impending stroke may be detected in internet searches months before the even
New Paper
Algorithmic copywriting: automated generation of health-related advertisements to improve their performance
In a paper just published in the Information Retrieval Journal we show how natural language processing algorithms can be used to improve health related messages
Announcement
Congratulations to Mor Zukin for graduating
Mor Zukin has graduated her undergrad studies and she is an engineer now. We are proud of her and will miss her in the lab.