Laura Genga

Orcid: 0000-0001-8746-8826

Affiliations:
  • Einghoven University of Technology, The Netherlands


According to our database1, Laura Genga authored at least 64 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Re-ordered fuzzy conformance checking for uncertain clinical records.
J. Biomed. Informatics, January, 2024

Model repair supported by frequent anomalous local instance graphs.
Inf. Syst., 2024

Understanding the stumbling blocks of Italian higher education system: A process mining approach.
Expert Syst. Appl., 2024

Process-level Model Repair through Instance Graphs Representations.
Proceedings of the 32nd Symposium of Advanced Database Systems, 2024

Standardization and harmonization of law through automated process analysis and similarity techniques.
Proceedings of the 1st International Workshop on Processes, 2024

Caregiver's Evaluation of LLM-Generated Treatment Goals for Patients with Severe Mental Illnesses.
Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments, 2024

Toward Scalable Content Generation for Gamified mHealth Interventions: The Evaluation of LLM-Generated Goals on User Engagement.
Proceedings of the Entertainment Computing - ICEC 2024, 2024

Promoting Trustworthy AI in mHealth: a Gamified Approach to Value-Sensitive Design.
Proceedings of the Workshops at the Third International Conference on Hybrid Human-Artificial Intelligence co-located with (HHAI 2024), 2024

Optimizing Resource Allocation Policies in Real-World Business Processes Using Hybrid Process Simulation and Deep Reinforcement Learning.
Proceedings of the Business Process Management - 22nd International Conference, 2024

Uncovering Patterns for Local Explanations in Outcome-Based Predictive Process Monitoring.
Proceedings of the Business Process Management - 22nd International Conference, 2024

2023
A historical perspective of biomedical explainable AI research.
Patterns, September, 2023

Multi-perspective enriched instance graphs for next activity prediction through graph neural network.
J. Intell. Inf. Syst., August, 2023

Discovering Explicit Scale-Up Criteria in Crisis Response with Decision Mining.
Proceedings of the Learning and Intelligent Optimization - 17th International Conference, 2023

Relational Graph Attention-Based Deep Reinforcement Learning: An Application to Flexible Job Shop Scheduling with Sequence-Dependent Setup Times.
Proceedings of the Learning and Intelligent Optimization - 17th International Conference, 2023

AI Applied to the Analysis of the Contracts of the Italian Public Administrations.
Proceedings of the Italia Intelligenza Artificiale, 2023

Simulation, optimization, and process mining: practicals applications in healthcare.
Proceedings of the Italia Intelligenza Artificiale, 2023

Uncovering the Hidden Significance of Activities Location in Predictive Process Monitoring.
Proceedings of the Process Mining Workshops, 2023

IMPresseD: Outcome-Oriented Interactive Multi-Interest Process Pattern Discovery Tool.
Proceedings of the Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023 co-located with the 5th International Conference on Process Mining (ICPM 2023), 2023

Evidence-Based Student Career and Performance Analysis with Process Mining: A Case Study.
Proceedings of the Process Mining Workshops, 2023

Automated Analysis with Event Log Enrichment of the European Public Procurement Processes.
Proceedings of the Advances in Conceptual Modeling, 2023

Interactive Multi-interest Process Pattern Discovery.
Proceedings of the Business Process Management - 21st International Conference, 2023

BIG GUI: A Tool for Building and Analysing Instance Graphs.
Proceedings of the Best Dissertation Award, 2023

2022
Association Rule Mining Meets Regression Analysis: An Automated Approach to Unveil Systematic Biases in Decision-Making Processes.
J. Cybersecur. Priv., March, 2022

Optimizing the workload of production units of a make-to-order manufacturing system.
Comput. Oper. Res., 2022

Fuzzy multi-perspective conformance checking for business processes.
Appl. Soft Comput., 2022

Encoding High-Level Control-Flow Construct Information for Process Outcome Prediction.
Proceedings of the 4th International Conference on Process Mining, 2022

Towards next-location prediction for process executions.
Proceedings of the 4th International Conference on Process Mining, 2022

Embedding Process Structure in Activities for Process Mapping and Comparison.
Proceedings of the New Trends in Database and Information Systems, 2022

2021
Towards Multi-perspective Conformance Checking with Fuzzy Sets.
Int. J. Interact. Multim. Artif. Intell., 2021

Online Multimodal Transportation Planning using Deep Reinforcement Learning.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Towards Evidence-Based Analysis of Palliative Treatments for Stomach and Esophageal Cancer Patients: a Process Mining Approach.
Proceedings of the 3rd International Conference on Process Mining, 2021

Tackling Uncertainty in Online Multimodal Transportation Planning Using Deep Reinforcement Learning.
Proceedings of the Computational Logistics - 12th International Conference, 2021

2020
A Latitudinal Study on the Use of Sequential and Concurrency Patterns in Deviance Mining.
Proceedings of the Complex Pattern Mining - New Challenges, Methods and Applications, 2020

Towards Multi-perspective conformance checking with fuzzy sets.
CoRR, 2020

Towards Multi-perspective Conformance Checking with Aggregation Operations.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

2019
Discovering reliable evidence of data misuse by exploiting rule redundancy.
Comput. Secur., 2019

Unveiling Systematic Biases in Decisional Processes: An Application to Discrimination Discovery.
Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security, 2019

Predicting Critical Behaviors in Business Process Executions: When Evidence Counts.
Proceedings of the Business Process Management Forum, 2019

2018
Discovering anomalous frequent patterns from partially ordered event logs.
J. Intell. Inf. Syst., 2018

Towards a Systematic Process-aware Behavioral Analysis for Security.
Proceedings of the 15th International Joint Conference on e-Business and Telecommunications, 2018

2017
Students' careers analysis: a process mining approach.
Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics, 2017

On the Use of Hierarchical Subtrace Mining for Efficient Local Process Model Mining.
Proceedings of the 7th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2017), 2017

Mining Local Process Models and Their Correlations.
Proceedings of the Data-Driven Process Discovery and Analysis, 2017

Tell the student: evidence-based advantages of prerequisites.
Proceedings of the 25th Italian Symposium on Advanced Database Systems, 2017

Discovering Mobility Patterns of Instagram Users through Process Mining Techniques.
Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration, 2017

APD tool: Mining Anomalous Patterns from Event Logs.
Proceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Modeling (BPM 2017), 2017

2016
Behavioral process mining for unstructured processes.
J. Intell. Inf. Syst., 2016

Building instance graphs for highly variable processes.
Expert Syst. Appl., 2016

Subgraph Mining for Anomalous Pattern Discovery in Event Logs.
Proceedings of the New Frontiers in Mining Complex Patterns - 5th International Workshop, 2016

Understanding knowlegde-intensive processes: From traces to instance graphs.
Proceedings of the International Conference on High Performance Computing & Simulation, 2016

2015
Towards Process Instances Building for Spaghetti Processes.
Proceedings of the 23rd Italian Symposium on Advanced Database Systems, 2015

ESub: Mining and exploring substructures in knowledge-intensive processes.
Proceedings of the 2015 International Conference on High Performance Computing & Simulation, 2015

Towards a customizable user-centered model for data analytics.
Proceedings of the 2015 International Conference on Collaboration Technologies and Systems, 2015

ESub: Exploration of Subgraphs. A tool for exploring models generated by Graph Mining algorithms.
Proceedings of the BPM Demo Session 2015 Co-located with the 13th International Conference on Business Process Management (BPM 2015), 2015

2014
A composite methodology for supporting collaboration pattern discovery via semantic enrichment and multidimensional analysis.
Proceedings of the 6th International Conference of Soft Computing and Pattern Recognition, 2014

A semi-automatic methodology for the design of performance monitoring systems.
Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

Discovering Behavioural Patterns in Knowledge-Intensive Collaborative Processes.
Proceedings of the New Frontiers in Mining Complex Patterns - Third International Workshop, 2014

Collaborative Building of an Ontology of Key Performance Indicators.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2014 Conferences, 2014

A methodology for building log of collaboration processes.
Proceedings of the 2014 International Conference on Collaboration Technologies and Systems, 2014

2013
A Preliminary Survey on Innovation Process Management Systems.
Proceedings of the Model and Data Engineering - Third International Conference, 2013

Application of process mining techniques for innovation analysis and support.
Proceedings of the 2013 International Conference on Collaboration Technologies and Systems, 2013

Innovation pattern analysis.
Proceedings of the 2013 International Conference on Collaboration Technologies and Systems, 2013

Pattern discovery from innovation processes.
Proceedings of the 2013 International Conference on Collaboration Technologies and Systems, 2013

2012
Approximation of the Gradient of the Error Probability for Vector Quantizers.
Proceedings of the Twentieth Italian Symposium on Advanced Database Systems, 2012


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