machine learning and deep learning algorithms
|My research deals with developing and analyzing efficient and effective machine learning and deep learning algorithms, and applying these algorithms to a large variety of applications such as computer vision, signal processing, medical image processing, speech processing, and natural language processing.|
Recent Deep Learning Publications:
- Self-normalization properties of language modeling. Jacob Goldberger and Oren Melamud, The International Conference on Computational Linguistics (COLING), 2018.
- Attention-based neural network for joint diarization and speaker extraction Shlomo E. Chazan, Sharon Gannot and Jacob Goldberger, Int. Workshop on Acoustic Signal Enhancement (IWAENC), 2018.
- Synthetic data augmentation using GAN for improved liver lesion classification. Maayan Frid-Adar, Eyal Klang, Michal Amitai, Jacob Goldberger and Hayit Greenspan, IEEE International Symposium on Biomedical Imaging (ISBI), 2018.
This year I'm teaching introduction to machine learning (83-622) and statistical machine learning (83-841).
I'm a member of the Bar-Ilan Data Science Institute.
My Erdös Number is 2.