Laura Genga

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 46

Top Topics

Pattern Discovery

Semantic Enrichment

Business Processes

Top Venues

J. Intell. Inf. Syst.

Publications

Laura Genga, Claudia Diamantini, Emanuele Storti, Domenico Potena
Process-level Model Repair through Instance Graphs Representations. SEBD (2024)
Laura Genga, Fabio Rossi, Claudia Diamantini, Emanuele Storti, Domenico Potena
Model repair supported by frequent anomalous local instance graphs. Inf. Syst. 122 (2024)
Claudia Diamantini, Laura Genga, Alex Mircoli, Domenico Potena, Nicola Zannone
Understanding the stumbling blocks of Italian higher education system: A process mining approach. Expert Syst. Appl. 242 (2024)
Lorenzo Joël James, Laura Genga, Barbara Montagne, Muriel A. Hagenaars, Pieter Van Gorp
Caregiver's Evaluation of LLM-Generated Treatment Goals for Patients with Severe Mental Illnesses. PETRA (2024)
Sicui Zhang, Laura Genga, Lukas R. C. Dekker, Hongchao Nie, Xudong Lu, Huilong Duan, Uzay Kaymak
Re-ordered fuzzy conformance checking for uncertain clinical records. J. Biomed. Informatics 149 (2024)
Roberto Aringhieri, Matteo Di Cunzolo, Matteo Dutto, Laura Genga, Alberto Guastalla, Mirko Locatelli, Laura Pellegrini, Giulia Ruffini, Emilio Sulis, Lavinia Chiara Tagliabue, Adriana Boccuzzi
Simulation, optimization, and process mining: practicals applications in healthcare. Ital-IA (2023)
Claudia Diamantini, Laura Genga, Alex Mircoli, Domenico Potena
BIG GUI: A Tool for Building and Analysing Instance Graphs. BPM (Demos / Resources Forum) (2023)
Roberto Nai, Ishrat Fatima, Gabriele Morina, Emilio Sulis, Laura Genga, Rosa Meo, Paolo Pasteris
AI Applied to the Analysis of the Contracts of the Italian Public Administrations. Ital-IA (2023)
Domenico Potena, Laura Genga, Annalisa Basta, Chiara Mercati, Claudia Diamantini
Evidence-Based Student Career and Performance Analysis with Process Mining: A Case Study. ICPM Workshops (2023)
Mozhgan Vazifehdoostirani, Mohsen Abbaspour Onari, Isel Grau, Laura Genga, Remco M. Dijkman
Uncovering the Hidden Significance of Activities Location in Predictive Process Monitoring. ICPM Workshops (2023)
Andrea Chiorrini, Claudia Diamantini, Laura Genga, Domenico Potena
Multi-perspective enriched instance graphs for next activity prediction through graph neural network. J. Intell. Inf. Syst. 61 (1) (2023)
Mozhgan Vazifehdoostirani, Laura Genga, Xixi Lu, Remco M. Dijkman
IMPresseD: Outcome-Oriented Interactive Multi-Interest Process Pattern Discovery Tool. ICPM Doctoral Consortium / Demo (2023)
Amirreza Farahani, M. A. H. van Elzakker, Laura Genga, Pavel Troubil, Remco M. Dijkman
Relational Graph Attention-Based Deep Reinforcement Learning: An Application to Flexible Job Shop Scheduling with Sequence-Dependent Setup Times. LION (2023)
Roberto Nai, Emilio Sulis, Laura Genga
Automated Analysis with Event Log Enrichment of the European Public Procurement Processes. ER (Workshops) (2023)
Britt Lukassen, Laura Genga, Yingqian Zhang
Discovering Explicit Scale-Up Criteria in Crisis Response with Decision Mining. LION (2023)
Mozhgan Vazifehdoostirani, Laura Genga, Xixi Lu, Rob Verhoeven, Hanneke van Laarhoven, Remco M. Dijkman
Interactive Multi-interest Process Pattern Discovery. BPM (2023)
Mozhgan Vazifehdoostirani, Laura Genga, Xixi Lu, Rob Verhoeven, Hanneke van Laarhoven, Remco M. Dijkman
Interactive Multi Interest Process Pattern Discovery. CoRR (2023)
Luca Malinverno, Vesna Barros, Francesco Ghisoni, Giovanni Visonà, Roman Kern, Philip J. Nickel, Barbara Elvira Ventura, Ilija Simic, Sarah Stryeck, Francesca Manni, César Ferri, Claire Jean-Quartier, Laura Genga, Gabriele Beate Schweikert, Mario Lovric, Michal Rosen-Zvi
A historical perspective of biomedical explainable AI research. Patterns 4 (9) (2023)
Laura Genga, Luca Allodi, Nicola Zannone
Association Rule Mining Meets Regression Analysis: An Automated Approach to Unveil Systematic Biases in Decision-Making Processes. J. Cybersecur. Priv. 2 (1) (2022)
Sicui Zhang, Laura Genga, Lukas Dekker, Hongchao Nie, Xudong Lu, Huilong Duan, Uzay Kaymak
Fuzzy multi-perspective conformance checking for business processes. Appl. Soft Comput. 130 (2022)
Andrea Chiorrini, Claudia Diamantini, Laura Genga, Martina Pioli, Domenico Potena
Embedding Process Structure in Activities for Process Mapping and Comparison. ADBIS (Short Papers) (2022)
Mozhgan Vazifehdoostirani, Laura Genga, Remco M. Dijkman
Encoding High-Level Control-Flow Construct Information for Process Outcome Prediction. ICPM (2022)
Murat Firat, Julie De Meyere, Tugce G. Martagan, Laura Genga
Optimizing the workload of production units of a make-to-order manufacturing system. Comput. Oper. Res. 138 (2022)
Andrea Chiorrini, Claudia Diamantini, Laura Genga, Martina Pioli, Domenico Potena
Towards next-location prediction for process executions. ICPM (2022)
Amirreza Farahani, Laura Genga, Remco M. Dijkman
Online Multimodal Transportation Planning using Deep Reinforcement Learning. CoRR (2021)
Amirreza Farahani, Laura Genga, Remco M. Dijkman
Tackling Uncertainty in Online Multimodal Transportation Planning Using Deep Reinforcement Learning. ICCL (2021)
Amirreza Farahani, Laura Genga, Remco M. Dijkman
Online Multimodal Transportation Planning using Deep Reinforcement Learning. SMC (2021)
Pam Pijnenborg, Rob Verhoeven, Murat Firat, Hanneke van Laarhoven, Laura Genga
Towards Evidence-Based Analysis of Palliative Treatments for Stomach and Esophageal Cancer Patients: a Process Mining Approach. ICPM (2021)
Sicui Zhang, Laura Genga, Hui Yan, Hongchao Nie, Xudong Lu, Uzay Kaymak
Towards Multi-perspective Conformance Checking with Fuzzy Sets. Int. J. Interact. Multim. Artif. Intell. 6 (5) (2021)
Sicui Zhang, Laura Genga, Lukas Dekker, Hongchao Nie, Xudong Lu, Huilong Duan, Uzay Kaymak
Towards Multi-perspective Conformance Checking with Aggregation Operations. IPMU (1) (2020)
Sicui Zhang, Laura Genga, Hui Yan, Xudong Lu, Huilong Duan, Uzay Kaymak
Towards Multi-perspective conformance checking with fuzzy sets. CoRR (2020)
Laura Genga, Chiara Di Francescomarino, Chiara Ghidini, Nicola Zannone
Predicting Critical Behaviors in Business Process Executions: When Evidence Counts. BPM Forum (2019)
Laura Genga, Luca Allodi, Nicola Zannone
Unveiling Systematic Biases in Decisional Processes: An Application to Discrimination Discovery. AsiaCCS (2019)
Laura Genga, Nicola Zannone, Anna Cinzia Squicciarini
Discovering reliable evidence of data misuse by exploiting rule redundancy. Comput. Secur. 87 (2019)
Laura Genga, Mahdi Alizadeh, Domenico Potena, Claudia Diamantini, Nicola Zannone
Discovering anomalous frequent patterns from partially ordered event logs. J. Intell. Inf. Syst. 51 (2) (2018)
Laura Genga, Nicola Zannone
Towards a Systematic Process-aware Behavioral Analysis for Security. ICETE (1) (2018)
Marco Cameranesi, Claudia Diamantini, Laura Genga, Domenico Potena
Tell the student: evidence-based advantages of prerequisites. SEBD (2017)
Laura Genga, Mahdi Alizadeh, Domenico Potena, Claudia Diamantini, Nicola Zannone
APD tool: Mining Anomalous Patterns from Event Logs. BPM (Demos) (2017)
Laura Genga, Niek Tax, Nicola Zannone
Mining Local Process Models and Their Correlations. SIMPDA (Revised Selected Papers) (2017)
Claudia Diamantini, Laura Genga, Fabrizio Marozzo, Domenico Potena, Paolo Trunfio
Discovering Mobility Patterns of Instagram Users through Process Mining Techniques. IRI (2017)
Niek Tax, Laura Genga, Nicola Zannone
On the Use of Hierarchical Subtrace Mining for Efficient Local Process Model Mining. SIMPDA (2017)
Marco Cameranesi, Claudia Diamantini, Laura Genga, Domenico Potena
Students' careers analysis: a process mining approach. WIMS (2017)
Claudia Diamantini, Laura Genga, Domenico Potena, Wil M. P. van der Aalst
Building instance graphs for highly variable processes. Expert Syst. Appl. 59 (2016)
Laura Genga, Domenico Potena, Orazio Martino, Mahdi Alizadeh, Claudia Diamantini, Nicola Zannone
Subgraph Mining for Anomalous Pattern Discovery in Event Logs. NFMCP@PKDD/ECML (2016)
Claudia Diamantini, Laura Genga, Domenico Potena
Behavioral process mining for unstructured processes. J. Intell. Inf. Syst. 47 (1) (2016)
Claudia Diamantini, Laura Genga, Domenico Potena
Understanding knowlegde-intensive processes: From traces to instance graphs. HPCS (2016)
Claudia Diamantini, Laura Genga, Domenico Potena, Wil M. P. van der Aalst
Towards Process Instances Building for Spaghetti Processes. SEBD (2015)
Claudia Diamantini, Laura Genga, Domenico Potena
ESub: Exploration of Subgraphs. A tool for exploring models generated by Graph Mining algorithms. BPM (Demos) (2015)
Claudia Diamantini, Laura Genga, Domenico Potena, Emanuele Storti
Towards a customizable user-centered model for data analytics. CTS (2015)
Claudia Diamantini, Laura Genga, Domenico Potena
ESub: Mining and exploring substructures in knowledge-intensive processes. HPCS (2015)
Alfredo Cuzzocrea, Claudia Diamantini, Laura Genga, Domenico Potena, Emanuele Storti
A composite methodology for supporting collaboration pattern discovery via semantic enrichment and multidimensional analysis. SoCPaR (2014)
Claudia Diamantini, Laura Genga, Domenico Potena, Emanuele Storti
Collaborative Building of an Ontology of Key Performance Indicators. OTM Conferences (2014)
Claudia Diamantini, Laura Genga, Domenico Potena, Giuseppa Ribighini
A methodology for building log of collaboration processes. CTS (2014)
Claudia Diamantini, Laura Genga, Domenico Potena, Emanuele Storti
Discovering Behavioural Patterns in Knowledge-Intensive Collaborative Processes. NFMCP (2014)
Claudia Diamantini, Laura Genga, Domenico Potena, Emanuele Storti
A semi-automatic methodology for the design of performance monitoring systems. SEBD (2014)
Claudia Diamantini, Laura Genga, Domenico Potena, Emanuele Storti
Innovation pattern analysis. CTS (2013)
Claudia Diamantini, Laura Genga, Domenico Potena
A Preliminary Survey on Innovation Process Management Systems. MEDI (2013)
Claudia Diamantini, Laura Genga, Domenico Potena, Emanuele Storti
Pattern discovery from innovation processes. CTS (2013)
Laura Genga
Application of process mining techniques for innovation analysis and support. CTS (2013)
Claudia Diamantini, Laura Genga, Domenico Potena
Approximation of the Gradient of the Error Probability for Vector Quantizers. SEBD (2012)