39 citations · 41 across the 4 of their papers we have counts for
8 papers
Process Discovery for Structured Program Synthesis
Dell Zhang, Alexander Kuhnle, Julian Richardson +1
A core task in process mining is process discovery which aims to learn an accurate process model from event log data. In this paper, we propose to use (block-) structured programs…
On the Evaluation of Intelligent Process Automation
Deborah Ferreira, Julia Rozanova, Krishna Dubba +2
Intelligent Process Automation (IPA) is emerging as a sub-field of AI to support the automation of long-tail processes which requires the coordination of tasks across different sys…
Proceedings of the AAAI-20 Workshop on Intelligent Process Automation (IPA-20)
Dell Zhang, Andre Freitas, Dacheng Tao +1
This is the Proceedings of the AAAI-20 Workshop on Intelligent Process Automation (IPA-20) which took place in New York, NY, USA on February 7th 2020.
SCRAM: Spatially Coherent Randomized Attention Maps
Dan A. Calian, Peter Roelants, Jacques Cali +4
Attention mechanisms and non-local mean operations in general are key ingredients in many state-of-the-art deep learning techniques. In particular, the Transformer model based on m…
Market Trend Prediction using Sentiment Analysis: Lessons Learned and Paths Forward
Andrius Mudinas, Dell Zhang, Mark Levene
Financial market forecasting is one of the most attractive practical applications of sentiment analysis. In this paper, we investigate the potential of using sentiment \emph{attitu…
Factorized Q-Learning for Large-Scale Multi-Agent Systems
Ming Zhou, Yong Chen, Ying Wen +5
Deep Q-learning has achieved significant success in single-agent decision making tasks. However, it is challenging to extend Q-learning to large-scale multi-agent scenarios, due to…