1 citations · 1 across the 3 of their papers we have counts for
5 papers
Using Deepfake Technologies for Word Emphasis Detection
Eran Kaufman, Lee-Ad Gottlieb
In this work, we consider the task of automated emphasis detection for spoken language. This problem is challenging in that emphasis is affected by the particularities of speech of…
Anomaly Detection for Fraud in Cryptocurrency Time Series
Eran Kaufman, Andrey Iaremenko
Since the inception of Bitcoin in 2009, the market of cryptocurrencies has grown beyond initial expectations as daily trades exceed $10 billion. As industries become automated, the…
Nested Barycentric Coordinate System as an Explicit Feature Map
Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich +2
We propose a new embedding method which is particularly well-suited for settings where the sample size greatly exceeds the ambient dimension. Our technique consists of partitioning…
Apportioned Margin Approach for Cost Sensitive Large Margin Classifiers
Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich
We consider the problem of cost sensitive multiclass classification, where we would like to increase the sensitivity of an important class at the expense of a less important one. W…
Learning convex polyhedra with margin
Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich +1
We present an improved algorithm for {\em quasi-properly} learning convex polyhedra in the realizable PAC setting from data with a margin. Our learning algorithm constructs a consi…