Approximation of the Gradient of the Error Probability for Vector Quantizers. - Claudia Diamantini; Laura Genga; Domenico Potena (SEBD, 2012)

Pattern discovery from innovation processes. - Claudia Diamantini; Laura Genga; Domenico Potena; Emanuele Storti (CTS, 2013)

Innovation pattern analysis. - Claudia Diamantini; Laura Genga; Domenico Potena; Emanuele Storti (CTS, 2013)

Application of process mining techniques for innovation analysis and support. - Laura Genga (CTS, 2013)

A Preliminary Survey on Innovation Process Management Systems. - Claudia Diamantini; Laura Genga; Domenico Potena (MEDI, 2013)

A methodology for building log of collaboration processes. - Claudia Diamantini; Laura Genga; Domenico Potena; Giuseppa Ribighini (CTS, 2014)

Collaborative Building of an Ontology of Key Performance Indicators. - Claudia Diamantini; Laura Genga; Domenico Potena; Emanuele Storti (OTM Conferences, 2014)

Discovering Behavioural Patterns in Knowledge-Intensive Collaborative Processes. - Claudia Diamantini; Laura Genga; Domenico Potena; Emanuele Storti (NFMCP, 2014)

A semi-automatic methodology for the design of performance monitoring systems. - Claudia Diamantini; Laura Genga; Domenico Potena; Emanuele Storti (SEBD, 2014)

A composite methodology for supporting collaboration pattern discovery via semantic enrichment and multidimensional analysis. - Alfredo Cuzzocrea; Claudia Diamantini; Laura Genga; Domenico Potena; Emanuele Storti (SoCPaR, 2014)

ESub: Exploration of Subgraphs. A tool for exploring models generated by Graph Mining algorithms. - Claudia Diamantini; Laura Genga; Domenico Potena (BPM (Demos), 2015)

Towards a customizable user-centered model for data analytics. - Claudia Diamantini; Laura Genga; Domenico Potena; Emanuele Storti (CTS, 2015)

ESub: Mining and exploring substructures in knowledge-intensive processes. - Claudia Diamantini; Laura Genga; Domenico Potena (HPCS, 2015)

Towards Process Instances Building for Spaghetti Processes. - Claudia Diamantini; Laura Genga; Domenico Potena; Wil M. P. van der Aalst (SEBD, 2015)

Understanding knowlegde-intensive processes: From traces to instance graphs. - Claudia Diamantini; Laura Genga; Domenico Potena (HPCS, 2016)

Subgraph Mining for Anomalous Pattern Discovery in Event Logs. - Laura Genga; Domenico Potena; Orazio Martino; Mahdi Alizadeh; Claudia Diamantini; Nicola Zannone (NFMCP@PKDD/ECML, 2016)

Building instance graphs for highly variable processes. - Claudia Diamantini; Laura Genga; Domenico Potena; Wil M. P. van der Aalst (Expert Syst. Appl., 2016)

Behavioral process mining for unstructured processes. - Claudia Diamantini; Laura Genga; Domenico Potena (J. Intell. Inf. Syst., 2016)

APD tool: Mining Anomalous Patterns from Event Logs. - Laura Genga; Mahdi Alizadeh; Domenico Potena; Claudia Diamantini; Nicola Zannone (BPM (Demos), 2017)

Discovering Mobility Patterns of Instagram Users through Process Mining Techniques. - Claudia Diamantini; Laura Genga; Fabrizio Marozzo; Domenico Potena; Paolo Trunfio (IRI, 2017)

Tell the student: evidence-based advantages of prerequisites. - Marco Cameranesi; Claudia Diamantini; Laura Genga; Domenico Potena (SEBD, 2017)

Mining Local Process Models and Their Correlations. - Laura Genga; Niek Tax; Nicola Zannone (SIMPDA (Revised Selected Papers), 2017)

On the Use of Hierarchical Subtrace Mining for Efficient Local Process Model Mining. - Niek Tax; Laura Genga; Nicola Zannone (SIMPDA, 2017)

Students' careers analysis: a process mining approach. - Marco Cameranesi; Claudia Diamantini; Laura Genga; Domenico Potena (WIMS, 2017)

Towards a Systematic Process-aware Behavioral Analysis for Security. - Laura Genga; Nicola Zannone (ICETE (1), 2018)

Discovering anomalous frequent patterns from partially ordered event logs. - Laura Genga; Mahdi Alizadeh; Domenico Potena; Claudia Diamantini; Nicola Zannone (J. Intell. Inf. Syst., 2018)

Predicting Critical Behaviors in Business Process Executions: When Evidence Counts. - Laura Genga; Chiara Di Francescomarino; Chiara Ghidini; Nicola Zannone (BPM Forum, 2019)

Unveiling Systematic Biases in Decisional Processes: An Application to Discrimination Discovery. - Laura Genga; Luca Allodi; Nicola Zannone (AsiaCCS, 2019)

Discovering reliable evidence of data misuse by exploiting rule redundancy. - Laura Genga; Nicola Zannone; Anna Cinzia Squicciarini (Comput. Secur., 2019)

Towards Multi-perspective Conformance Checking with Aggregation Operations. - Sicui Zhang; Laura Genga; Lukas R. C. Dekker; Hongchao Nie; Xudong Lu; Huilong Duan; Uzay Kaymak (IPMU (1), 2020)

Towards Multi-perspective conformance checking with fuzzy sets. - Sicui Zhang; Laura Genga; Hui Yan; Xudong Lu; Huilong Duan; Uzay Kaymak (CoRR, 2020)

A Latitudinal Study on the Use of Sequential and Concurrency Patterns in Deviance Mining. - Laura Genga; Domenico Potena; Andrea Chiorrini; Claudia Diamantini; Nicola Zannone (Complex Pattern Mining, 2020)

Tackling Uncertainty in Online Multimodal Transportation Planning Using Deep Reinforcement Learning. - Amirreza Farahani; Laura Genga; Remco M. Dijkman (ICCL, 2021)

Towards Evidence-Based Analysis of Palliative Treatments for Stomach and Esophageal Cancer Patients: a Process Mining Approach. - Pam Pijnenborg; Rob Verhoeven; Murat Firat; Hanneke van Laarhoven; Laura Genga (ICPM, 2021)

Online Multimodal Transportation Planning using Deep Reinforcement Learning. - Amirreza Farahani; Laura Genga; Remco M. Dijkman (SMC, 2021)

Towards Multi-perspective Conformance Checking with Fuzzy Sets. - Sicui Zhang; Laura Genga; Hui Yan; Hongchao Nie; Xudong Lu; Uzay Kaymak (Int. J. Interact. Multim. Artif. Intell., 2021)

Embedding Process Structure in Activities for Process Mapping and Comparison. - Andrea Chiorrini; Claudia Diamantini; Laura Genga; Martina Pioli; Domenico Potena (ADBIS (Short Papers), 2022)

Towards next-location prediction for process executions. - Andrea Chiorrini; Claudia Diamantini; Laura Genga; Martina Pioli; Domenico Potena (ICPM, 2022)

Encoding High-Level Control-Flow Construct Information for Process Outcome Prediction. - Mozhgan Vazifehdoostirani; Laura Genga; Remco M. Dijkman (ICPM, 2022)

Fuzzy multi-perspective conformance checking for business processes. - Sicui Zhang; Laura Genga; Lukas R. C. Dekker; Hongchao Nie; Xudong Lu; Huilong Duan; Uzay Kaymak (Appl. Soft Comput., 2022)

Optimizing the workload of production units of a make-to-order manufacturing system. - Murat Firat; Julie De Meyere; Tugce G. Martagan; Laura Genga (Comput. Oper. Res., 2022)

Association Rule Mining Meets Regression Analysis: An Automated Approach to Unveil Systematic Biases in Decision-Making Processes. - Laura Genga; Luca Allodi; Nicola Zannone (J. Cybersecur. Priv., 2022)

BIG GUI: A Tool for Building and Analysing Instance Graphs. - Claudia Diamantini; Laura Genga; Alex Mircoli; Domenico Potena (BPM (Demos / Resources Forum), 2023)

Interactive Multi-interest Process Pattern Discovery. - Mozhgan Vazifehdoostirani; Laura Genga; Xixi Lu 001; Rob Verhoeven; Hanneke van Laarhoven; Remco M. Dijkman (BPM, 2023)

Automated Analysis with Event Log Enrichment of the European Public Procurement Processes. - Roberto Nai; Emilio Sulis; Laura Genga (ER (Workshops), 2023)

Evidence-Based Student Career and Performance Analysis with Process Mining: A Case Study. - Domenico Potena; Laura Genga; Annalisa Basta; Chiara Mercati; Claudia Diamantini (ICPM Workshops, 2023)

IMPresseD: Outcome-Oriented Interactive Multi-Interest Process Pattern Discovery Tool. - Mozhgan Vazifehdoostirani; Laura Genga; Xixi Lu 001; Remco M. Dijkman (ICPM Doctoral Consortium / Demo, 2023)

Uncovering the Hidden Significance of Activities Location in Predictive Process Monitoring. - Mozhgan Vazifehdoostirani; Mohsen Abbaspour Onari; Isel Grau; Laura Genga; Remco M. Dijkman (ICPM Workshops, 2023)

Simulation, optimization, and process mining: practicals applications in healthcare. - Roberto Aringhieri; Matteo Di Cunzolo; Matteo Dutto; Laura Genga; Alberto Guastalla; Mirko Locatelli; Laura Pellegrini; Giulia Ruffini; Emilio Sulis; Lavinia Chiara Tagliabue; Adriana Boccuzzi (Ital-IA, 2023)

AI Applied to the Analysis of the Contracts of the Italian Public Administrations. - Roberto Nai; Ishrat Fatima; Gabriele Morina; Emilio Sulis; Laura Genga; Rosa Meo; Paolo Pasteris (Ital-IA, 2023)

Relational Graph Attention-Based Deep Reinforcement Learning: An Application to Flexible Job Shop Scheduling with Sequence-Dependent Setup Times. - Amirreza Farahani; M. A. H. van Elzakker; Laura Genga; Pavel Troubil; Remco M. Dijkman (LION, 2023)

Discovering Explicit Scale-Up Criteria in Crisis Response with Decision Mining. - Britt Lukassen; Laura Genga; Yingqian Zhang 001 (LION, 2023)

Process Mining on a Public Procurement Dataset: A Case Study. - Roberto Nai; Emilio Sulis; Rosa Meo; Francesco Gorgerino; Gabriella Margherita Racca; Laura Genga (PKDD/ECML Workshops (1), 2023)

Multi-perspective enriched instance graphs for next activity prediction through graph neural network. - Andrea Chiorrini; Claudia Diamantini; Laura Genga; Domenico Potena (J. Intell. Inf. Syst., 2023)

A historical perspective of biomedical explainable AI research. - 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; et al. (Patterns, 2023)

Uncovering Patterns for Local Explanations in Outcome-Based Predictive Process Monitoring. - Andrei Buliga 001; Mozhgan Vazifehdoostirani; Laura Genga; Xixi Lu 001; Remco M. Dijkman; Chiara Di Francescomarino; Chiara Ghidini; Hajo A. Reijers (BPM, 2024)

Optimizing Resource Allocation Policies in Real-World Business Processes Using Hybrid Process Simulation and Deep Reinforcement Learning. - Francesca Meneghello 002; Jeroen Middelhuis; Laura Genga; Zaharah Bukhsh; Massimiliano Ronzani; Chiara Di Francescomarino; Chiara Ghidini; Remco M. Dijkman (BPM, 2024)

Promoting Trustworthy AI in mHealth: a Gamified Approach to Value-Sensitive Design. - Maria Inês Ribeiro; Laura Genga; Monique Simons; Pieter Van Gorp (HHAI Workshops, 2024)

Assessing the Impact of Exam Preparation Process on Students' Careers. - Domenico Potena; Laura Genga; Lorenzo Galeazzi; Gianmarco Vigano; Claudia Diamantini (ICPM Workshops, 2024)

Predictive Insights for Personalising Esophagogastric Cancer Treatment Process - A Case Study. - Mozhgan Vazifehdoostirani; Andrei Buliga 001; Laura Genga; Rob Verhoeven; Remco M. Dijkman (ICPM Workshops, 2024)

Toward Scalable Content Generation for Gamified mHealth Interventions: The Evaluation of LLM-Generated Goals on User Engagement. - Lorenzo J. James; Laura Genga; Barbara Montagne; Muriel A. Hagenaars; Pieter M. E. Van Gorp (ICEC, 2024)

Caregiver's Evaluation of LLM-Generated Treatment Goals for Patients with Severe Mental Illnesses. - Lorenzo Joël James; Laura Genga; Barbara Montagne; Muriel A. Hagenaars; Pieter Van Gorp (PETRA, 2024)

Standardization and harmonization of law through automated process analysis and similarity techniques. - Davide Audrito; Luigi Di Caro; Laura Genga; Rachele Mignone; Roberto Nai; Ivan Spada; Emilio Sulis; Vittoria Margherita Sofia Trifiletti (PLC@ICPM, 2024)

Towards Automated Planning of Level Structures for Digital Interventions. - Lorenzo J. James; Emanuele De Pellegrin; Laura Genga; Barbara Montagne; Pieter Van Gorp; Ronald P. A. Petrick (AI4CC-IPS-RCRA-SPIRIT@AI*IA, 2024)

Process-level Model Repair through Instance Graphs Representations. - Laura Genga; Claudia Diamantini; Emanuele Storti; Domenico Potena (SEBD, 2024)

Understanding the stumbling blocks of Italian higher education system: A process mining approach. - Claudia Diamantini; Laura Genga; Alex Mircoli; Domenico Potena; Nicola Zannone (Expert Syst. Appl., 2024)

Model repair supported by frequent anomalous local instance graphs. - Laura Genga; Fabio Rossi; Claudia Diamantini; Emanuele Storti; Domenico Potena (Inf. Syst., 2024)

Re-ordered fuzzy conformance checking for uncertain clinical records. - Sicui Zhang; Laura Genga; Lukas R. C. Dekker; Hongchao Nie; Xudong Lu; Huilong Duan; Uzay Kaymak (J. Biomed. Informatics, 2024)

Enhancing E-learning effectiveness: a process mining approach for short-term tutorials. - Roberto Nai; Emilio Sulis; Laura Genga (J. Intell. Inf. Syst., 2024)

Interleaving Health and Entertainment: Toward a Modular Architecture for Ethically Enabled Dark Patterns in Digital Interventions. - Lorenzo J. James; Parvaneh Parvin; Laura Genga; Barbara Montagne; Pieter Van Gorp (CoG, 2025)

Automated Planning of Entertainment Content for Digital Health Interventions: A Technical Feasibility Study on Balance VS Fun. - Lorenzo Joël James; Emanuele De Pellegrin; Laura Genga; Barbara Montagne; Pieter Van Gorp (ICEC, 2025)

Outcome-oriented local explanation using context-aware process patterns. - Mozhgan Vazifehdoostirani; Andrei Buliga 001; Laura Genga; Chiara Di Francescomarino; Massimiliano Ronzani; Chiara Ghidini; Remco M. Dijkman (Eng. Appl. Artif. Intell., 2025)

Intervention strategies for improving business process outcomes: A causal rule mining approach. - Rik Eshuis; Laura Genga (Expert Syst. Appl., 2025)

Behavioral similarity in business process models: A perspective that needs more attention. - Francesca Zampino; Laura Genga; Antonella Longo (Inf. Syst., 2026)