activity
20142026
most citedBuilding Interpretable Models for Business Process Prediction using Shared and Specialised Attention Mechanisms

47 citations · 77 across the 14 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

ResonAct: Streaming Metrics for Runtime Diagnosis and Self-Healing in Multi-Agent Systems

Tarun Chintada, Neelamadhav Gantayat, Ishaan Romil +3

Multi-agent systems (MAS) are increasingly used to automate enterprise workflows involving multiple specialized agents, external tools, and long-running task execution. Failures ma…

cs.AI2022★ 1 cited

Goal-Oriented Next Best Activity Recommendation using Reinforcement Learning

Prerna Agarwal, Avani Gupta, Renuka Sindhgatta +1

Recommending a sequence of activities for an ongoing case requires that the recommendations conform to the underlying business process and meet the performance goal of either compl…

cs.AI2021★ 3 cited

Explainable AI Enabled Inspection of Business Process Prediction Models

Chun Ouyang, Renuka Sindhgatta, Catarina Moreira

Modern data analytics underpinned by machine learning techniques has become a key enabler to the automation of data-led decision making. As an important branch of state-of-the-art…

cs.AI2020★ 2 cited

Evaluating Explainable Methods for Predictive Process Analytics: A Functionally-Grounded Approach

Mythreyi Velmurugan, Chun Ouyang, Catarina Moreira +1

Predictive process analytics focuses on predicting the future states of running instances of a business process. While advanced machine learning techniques have been used to increa…

cs.AI2020★ 1 cited

An Interpretable Probabilistic Approach for Demystifying Black-box Predictive Models

Catarina Moreira, Yu-Liang Chou, Mythreyi Velmurugan +3

The use of sophisticated machine learning models for critical decision making is faced with a challenge that these models are often applied as a "black-box". This has led to an inc…