5 citations · 12 across the 6 of their papers we have counts for
7 papers
Ensemble Methods for Multi-label Classification
Lior Rokach, Alon Schclar, Ehud Itach
Ensemble methods have been shown to be an effective tool for solving multi-label classification tasks. In the RAndom k-labELsets (RAKEL) algorithm, each member of the ensemble is a…
Ensembles of Classifiers based on Dimensionality Reduction
Alon Schclar, Lior Rokach, Amir Amit
We present a novel approach for the construction of ensemble classifiers based on dimensionality reduction. Dimensionality reduction methods represent datasets using a small number…
Video Segmentation via Diffusion Bases
Dina Dushnik, Alon Schclar, Amir Averbuch
Identifying moving objects in a video sequence, which is produced by a static camera, is a fundamental and critical task in many computer-vision applications. A common approach per…
Matrix Compression using the Nystroöm Method
Arik Nemtsov, Amir Averbuch, Alon Schclar
The Nyström method is routinely used for out-of-sample extension of kernel matrices. We describe how this method can be applied to find the singular value decomposition (SVD) of ge…
Boosting Simple Collaborative Filtering Models Using Ensemble Methods
Ariel Bar, Lior Rokach, Guy Shani +2
In this paper we examine the effect of applying ensemble learning to the performance of collaborative filtering methods. We present several systematic approaches for generating an…
Multi-Sensor Fusion via Reduction of Dimensionality
Alon Schclar
Large high-dimensional datasets are becoming more and more popular in an increasing number of research areas. Processing the high dimensional data incurs a high computational cost…
Securing Your Transactions: Detecting Anomalous Patterns In XML Documents
Eitan Menahem, Alon Schclar, Lior Rokach +1
XML transactions are used in many information systems to store data and interact with other systems. Abnormal transactions, the result of either an on-going cyber attack or the act…