Posters

Shvat Messica

Multimodal Semi Supervised Deep Neural Network for Early Detection of Diabetic Retinopathy

Invoice Subject Line Recommender – When Behavioral Science Meets Machine Learning

Localization of Autonomous Submarines Using Deep Learning

Patient Contextualized Embedding Using Transformers

The predictive power of latent narratives from social-media on economic behavior

Graph Neural Networks – From a Complicated Data Structure to Meaningful Insights

8:45	Reception
9:30	Opening words by WiDS TLV ambassadors Or Basson and Noah Eyal Altman
9:40	Dr. Kira Radinski - Learning to predict the future of healthcare
10:10	Prof. Yonina Eldar - Model-Based Deep Learning: Applications to Imaging and Communications
10:40	Break
10:50	Lightning talks

12:20	Lunch & Poster session
13:20	Roundtable session & Poster session
14:05	Roundtable closure
14:20	Break
14:30	Dr. Anna Levant - 3D Metrology: Seeing the Unseen
15:00	Aviv Ben-Arie - Counterfactual Explanations: The Future of Explainable AI?
15:30	Closing remarks
15:40	End

12:30	Lunch & Poster session
	Adi Watzman - Nobody is Perfect – How Do We Debug ML Models?
14:30	Roundtable closure
14:45	Gal Yona - How Fair Can We Be
15:15	Daphna Weissglas - Turning Data Science Into Precision Medicine Empowering Millions
15:45	Closing remarks