[HTML][HTML] Machine learning in business process management: A systematic literature review
Abstract Machine learning (ML) provides algorithms to create computer programs based on
data without explicitly programming them. In business process management (BPM), ML …
data without explicitly programming them. In business process management (BPM), ML …
A direct data aware LSTM neural network architecture for complete remaining trace and runtime prediction
Develo** LSTM neural networks that can accurately predict the future trajectory of
ongoing cases and their remaining runtime is an active area of research in predictive …
ongoing cases and their remaining runtime is an active area of research in predictive …
Conversational systems for ai-augmented business process management
Abstract AI-augmented Business Process Management Systems (ABPMSs) are an emerging
class of process-aware information systems empowered by AI technology for autonomously …
class of process-aware information systems empowered by AI technology for autonomously …
HAM-Net: Predictive Business Process Monitoring with a hierarchical attention mechanism
One of the essential tasks in Business Process Management (BPM) is Predictive Business
Process Monitoring. This task aims to predict the behavior of an ongoing process based on …
Process Monitoring. This task aims to predict the behavior of an ongoing process based on …
Embedding graph convolutional networks in recurrent neural networks for predictive monitoring
Predictive monitoring of business processes is a subfield of process mining that aims to
predict, among other things, the characteristics of the next event or the sequence of the next …
predict, among other things, the characteristics of the next event or the sequence of the next …
Towards explainable artificial intelligence in banking and financial services
A Hanif - arxiv preprint arxiv:2112.08441, 2021 - arxiv.org
Artificial intelligence (AI) enables machines to learn from human experience, adjust to new
inputs, and perform human-like tasks. AI is progressing rapidly and is transforming the way …
inputs, and perform human-like tasks. AI is progressing rapidly and is transforming the way …
Towards artificial intelligence enabled financial crime detection
Z Rouhollahi - arxiv preprint arxiv:2105.10866, 2021 - arxiv.org
Recently, financial institutes have been dealing with an increase in financial crimes. In this
context, financial services firms started to improve their vigilance and use new technologies …
context, financial services firms started to improve their vigilance and use new technologies …
Multi-attribute transformers for sequence prediction in business process management
Leveraging event logs to predict the evolution of an ongoing process is a challenging task in
business process management (BPM). During the last years, sequence prediction models …
business process management (BPM). During the last years, sequence prediction models …
Intent recognition in conversational recommender systems
S Moradizeyveh - arxiv preprint arxiv:2212.03721, 2022 - arxiv.org
Any organization needs to improve their products, services, and processes. In this context,
engaging with customers and understanding their journey is essential. Organizations have …
engaging with customers and understanding their journey is essential. Organizations have …
Learning Complex Users' Preferences for Recommender Systems
S Yakhchi - arxiv preprint arxiv:2107.01529, 2021 - arxiv.org
Recommender systems (RSs) have emerged as very useful tools to help customers with
their decision-making process, find items of their interest, and alleviate the information …
their decision-making process, find items of their interest, and alleviate the information …