most citedA Unified Conversational Assistant Framework for Business Process Automation

11 citations · 35 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI202010 cited

From Robotic Process Automation to Intelligent Process Automation: Emerging Trends

Tathagata Chakraborti, Vatche Isahagian, Rania Khalaf +4

In this survey, we study how recent advances in machine intelligence are disrupting the world of business processes. Over the last decade, there has been steady progress towards th…

cs.AI20209 cited

A Conversational Digital Assistant for Intelligent Process Automation

Yara Rizk, Vatche Isahagian, Scott Boag +4

Robotic process automation (RPA) has emerged as the leading approach to automate tasks in business processes. Moving away from back-end automation, RPA automated the mouse-click on…

cs.HC20204 cited

A Snooze-less User-Aware Notification System for Proactive Conversational Agents

Yara Rizk, Vatche Isahagian, Merve Unuvar +1

The ubiquity of smart phones and electronic devices has placed a wealth of information at the fingertips of consumers as well as creators of digital content. This has led to millio…

cs.AI202011 cited

A Unified Conversational Assistant Framework for Business Process Automation

Yara Rizk, Abhishek Bhandwalder, Scott Boag +5

Business process automation is a booming multi-billion-dollar industry that promises to remove menial tasks from workers' plates -- through the introduction of autonomous agents --…

cs.LG20191 cited

An Optimized and Energy-Efficient Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks

Julia El Zini, Yara Rizk, Mariette Awad

Recurrent neural networks (RNN) have been successfully applied to various sequential decision-making tasks, natural language processing applications, and time-series predictions. S…