Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Bracha Shapira

Bracha Shapira
Alert button

AMFPMC -- An improved method of detecting multiple types of drug-drug interactions using only known drug-drug interactions


Feb 07, 2023
Bar Vered, Guy Shtar, Lior Rokach, Bracha Shapira

Add code
Alert button

Figure 1 for AMFPMC -- An improved method of detecting multiple types of drug-drug interactions using only known drug-drug interactions
Figure 2 for AMFPMC -- An improved method of detecting multiple types of drug-drug interactions using only known drug-drug interactions
Figure 3 for AMFPMC -- An improved method of detecting multiple types of drug-drug interactions using only known drug-drug interactions
Figure 4 for AMFPMC -- An improved method of detecting multiple types of drug-drug interactions using only known drug-drug interactions

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Transfer learning for time series classification using synthetic data generation


Jul 16, 2022
Yarden Rotem, Nathaniel Shimoni, Lior Rokach, Bracha Shapira

Add code
Alert button

* This preprint has not undergone peer review or any post-submission im- provement or corrections. The Version of Record of this contribution is published in LNCS 13301, CSCML 2022, and is available online at https://link.springer.com/chapter/10.1007/978-3-031-07689-3 18 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation


Oct 29, 2021
Seffi Cohen, Niv Goldshlager, Lior Rokach, Bracha Shapira

Add code
Alert button

Figure 1 for Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation
Figure 2 for Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation
Figure 3 for Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation
Figure 4 for Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Evolving Context-Aware Recommender Systems With Users in Mind


Jul 30, 2020
Amit Livne, Eliad Shem Tov, Adir Solomon, Achiya Elyasaf, Bracha Shapira, Lior Rokach

Add code
Alert button

Figure 1 for Evolving Context-Aware Recommender Systems With Users in Mind
Figure 2 for Evolving Context-Aware Recommender Systems With Users in Mind
Figure 3 for Evolving Context-Aware Recommender Systems With Users in Mind
Figure 4 for Evolving Context-Aware Recommender Systems With Users in Mind
* 17 pages, 5 figures 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

A framework for optimizing COVID-19 testing policy using a Multi Armed Bandit approach


Jul 28, 2020
Hagit Grushka-Cohen, Raphael Cohen, Bracha Shapira, Jacob Moran-Gilad, Lior Rokach

Add code
Alert button

Figure 1 for A framework for optimizing COVID-19 testing policy using a Multi Armed Bandit approach
Figure 2 for A framework for optimizing COVID-19 testing policy using a Multi Armed Bandit approach
Figure 3 for A framework for optimizing COVID-19 testing policy using a Multi Armed Bandit approach
Figure 4 for A framework for optimizing COVID-19 testing policy using a Multi Armed Bandit approach

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Iterative Boosting Deep Neural Networks for Predicting Click-Through Rate


Jul 26, 2020
Amit Livne, Roy Dor, Eyal Mazuz, Tamar Didi, Bracha Shapira, Lior Rokach

Add code
Alert button

Figure 1 for Iterative Boosting Deep Neural Networks for Predicting Click-Through Rate
Figure 2 for Iterative Boosting Deep Neural Networks for Predicting Click-Through Rate
Figure 3 for Iterative Boosting Deep Neural Networks for Predicting Click-Through Rate
Figure 4 for Iterative Boosting Deep Neural Networks for Predicting Click-Through Rate
* 16 Pages, 7 Figures 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Automatic Machine Learning Derived from Scholarly Big Data


Mar 06, 2020
Asnat Greenstein-Messica, Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach

Add code
Alert button

Figure 1 for Automatic Machine Learning Derived from Scholarly Big Data
Figure 2 for Automatic Machine Learning Derived from Scholarly Big Data
Figure 3 for Automatic Machine Learning Derived from Scholarly Big Data
Figure 4 for Automatic Machine Learning Derived from Scholarly Big Data

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Sequence Preserving Network Traffic Generation


Feb 23, 2020
Sigal Shaked, Amos Zamir, Roman Vainshtein, Moshe Unger, Lior Rokach, Rami Puzis, Bracha Shapira

Add code
Alert button

Figure 1 for Sequence Preserving Network Traffic Generation
Figure 2 for Sequence Preserving Network Traffic Generation
Figure 3 for Sequence Preserving Network Traffic Generation
Figure 4 for Sequence Preserving Network Traffic Generation

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Diversifying Database Activity Monitoring with Bandits


Oct 23, 2019
Hagit Grushka-Cohen, Ofer Biller, Oded Sofer, Lior Rokach, Bracha Shapira

Add code
Alert button

Figure 1 for Diversifying Database Activity Monitoring with Bandits
Figure 2 for Diversifying Database Activity Monitoring with Bandits
Figure 3 for Diversifying Database Activity Monitoring with Bandits
Figure 4 for Diversifying Database Activity Monitoring with Bandits

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Deep Context-Aware Recommender System Utilizing Sequential Latent Context


Sep 09, 2019
Amit Livne, Moshe Unger, Bracha Shapira, Lior Rokach

Add code
Alert button

Figure 1 for Deep Context-Aware Recommender System Utilizing Sequential Latent Context
Figure 2 for Deep Context-Aware Recommender System Utilizing Sequential Latent Context
Figure 3 for Deep Context-Aware Recommender System Utilizing Sequential Latent Context
Figure 4 for Deep Context-Aware Recommender System Utilizing Sequential Latent Context

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
3
>>