3 citations · 3 across the 2 of their papers we have counts for
5 papers
Pattern Discovery in Time Series with Byte Pair Encoding
Nazgol Tavabi, Kristina Lerman
The growing popularity of wearable sensors has generated large quantities of temporal physiological and activity data. Ability to analyze this data offers new opportunities for rea…
Challenges in Forecasting Malicious Events from Incomplete Data
Nazgol Tavabi, Andrés Abeliuk, Negar Mokhberian +2
The ability to accurately predict cyber-attacks would enable organizations to mitigate their growing threat and avert the financial losses and disruptions they cause. But how predi…
Learning Behavioral Representations from Wearable Sensors
Nazgol Tavabi, Homa Hosseinmardi, Jennifer L. Villatte +4
Continuous collection of physiological data from wearable sensors enables temporal characterization of individual behaviors. Understanding the relation between an individual's beha…
Characterizing Activity on the Deep and Dark Web
Nazgol Tavabi, Nathan Bartley, Andrés Abeliuk +3
The deep and darkweb (d2web) refers to limited access web sites that require registration, authentication, or more complex encryption protocols to access them. These web sites serv…
Discovering Signals from Web Sources to Predict Cyber Attacks
Palash Goyal, KSM Tozammel Hossain, Ashok Deb +5
Cyber attacks are growing in frequency and severity. Over the past year alone we have witnessed massive data breaches that stole personal information of millions of people and wide…