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Ilija Zeljkovic

Researcher at AT&T

Publications -  33
Citations -  1374

Ilija Zeljkovic is an academic researcher from AT&T. The author has contributed to research in topics: Hidden Markov model & Discriminative model. The author has an hindex of 11, co-authored 20 publications receiving 1307 citations.

Papers
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Patent

Method of using a natural language interface to retrieve information from one or more data resources

TL;DR: In this paper, a method of using at least one natural language query to retrieve information from one or more data resources and further performing a requested action using the retrieved information is disclosed.
Patent

Authentication Techniques Utilizing a Computing Device

TL;DR: In this paper, a pre-registration procedure is utilized to create a user profile for a user of a multi-factor authentication (MFA) service, and a client application installation procedure is used to install client application on a computing device that is to be utilized as an authentication factor for the MFA service.
Patent

Systems and methods for creating and using geo-centric language models

TL;DR: In this paper, the authors present a system for creating and using geo-centric language models, which assigns each of a plurality of listings to a local service area, determines a geographic center for the local service areas, and selects a desired number of listings for a geocentric listing set.
Patent

System and method for pre-processing information used by an automated attendant

TL;DR: In this paper, a method and system for pre-processing entries in a directory listings is presented, which is based on a rule set corresponding to the field in which the entry is located, and a corresponding confidence level for the processed entries may be determined.
Patent

Interface for a voice-activated connection system

TL;DR: In this paper, a method and apparatus for defining an interface for a system using voice commands to connect a first user to a second user over a network is described, and the interface uses the natural language grammar to parse commands given by the user for future communications connections.