85 citations · 162 across the 12 of their papers we have counts for
13 papers
Certification Grade Quantum Dot Luminescent Solar Concentrator Glazing with Optical Communication Capability for Connected Sustainable Architecture
Francesco Meinardi, Francesco Bruni, Claudio Castellan +5
Energy sustainability and interconnectivity are the two main pillars on which cutting-edge architecture is based and require the realisation of energy and intelligent devices that…
Five guidelines to improve context-aware process selection: an Australian banking perspective
Nigel Adams, Adriano Augusto, Michael Davern +1
As the first phase in the Business Process Management (BPM) lifecycle, process identification addresses the problem of identifying which processes to prioritize for improvement. Pr…
Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning
Zahra Dasht Bozorgi, Marlon Dumas, Marcello La Rosa +3
Increasing the success rate of a process, i.e. the percentage of cases that end in a positive outcome, is a recurrent process improvement goal. At runtime, there are often certain…
Discovering executable routine specifications from user interaction logs
Volodymyr Leno, Adriano Augusto, Marlon Dumas +3
Robotic Process Automation (RPA) is a technology to automate routine work such as copying data across applications or filling in document templates using data from multiple applica…
Automated Repair of Process Models with Non-Local Constraints Using State-Based Region Theory
Anna Kalenkova, Josep Carmona, Artem Polyvyanyy +1
State-of-the-art process discovery methods construct free-choice process models from event logs. Consequently, the constructed models do not take into account indirect dependencies…
Encoder-Decoder Generative Adversarial Nets for Suffix Generation and Remaining Time Prediction of Business Process Models
Farbod Taymouri, Marcello La Rosa
This paper proposes an encoder-decoder architecture grounded on Generative Adversarial Networks (GANs), that generates a sequence of activities and their timestamps in an end-to-en…
Detecting sudden and gradual drifts in business processes from execution traces
Abderrahmane Maaradji, Marlon Dumas, Marcello La Rosa +1
Business processes are prone to unexpected changes, as process workers may suddenly or gradually start executing a process differently in order to adjust to changes in workload, se…
Efficient Conformance Checking using Approximate Alignment Computation with Tandem Repeats
Daniel Reißner, Abel Armas-Cervantes, Marcello La Rosa
Conformance checking encompasses a body of process mining techniques which aim to find and describe the differences between a process model capturing the expected process behavior…
Business Process Variant Analysis based on Mutual Fingerprints of Event Logs
Farbod Taymouri, Marcello La Rosa, Josep Carmona
Comparing business process variants using event logs is a common use case in process mining. Existing techniques for process variant analysis detect statistically-significant diffe…
Process Query Language: Design, Implementation, and Evaluation
Artem Polyvyanyy, Arthur H. M. ter Hofstede, Marcello La Rosa +2
Organizations can benefit from the use of practices, techniques, and tools from the area of business process management. Through the focus on processes, they create process models…
Survey and cross-benchmark comparison of remaining time prediction methods in business process monitoring
Ilya Verenich, Marlon Dumas, Marcello La Rosa +2
Predictive business process monitoring methods exploit historical process execution logs to generate predictions about running instances (called cases) of a business process, such…
Discovering Process Maps from Event Streams
Volodymyr Leno, Abel Armas-Cervantes, Marlon Dumas +2
Automated process discovery is a class of process mining methods that allow analysts to extract business process models from event logs. Traditional process discovery methods extra…
Outcome-Oriented Predictive Process Monitoring: Review and Benchmark
Irene Teinemaa, Marlon Dumas, Marcello La Rosa +1
Predictive business process monitoring refers to the act of making predictions about the future state of ongoing cases of a business process, based on their incomplete execution tr…