{"total":32,"rows":[{"id":"2107.01905","title":"Creating Unbiased Public Benchmark Datasets with Data Leakage Prevention for Predictive Process Monitoring","created":"2021-07-05","cited_by_count":16,"area":null},{"id":"2407.02310","title":"Evaluating the Ability of LLMs to Solve Semantics-Aware Process Mining Tasks","created":"2024-07-02","cited_by_count":14,"area":null},{"id":"2107.08697","title":"DiCE4EL: Interpreting Process Predictions using a Milestone-Aware Counterfactual Approach","created":"2021-07-19","cited_by_count":13,"area":null},{"id":"2304.06412","title":"Quantifying and Explaining Machine Learning Uncertainty in Predictive Process Monitoring: An Operations Research Perspective","created":"2023-04-13","cited_by_count":10,"area":null},{"id":"2310.00675","title":"Optimization or Architecture: How to Hack Kalman Filtering","created":"2023-10-01","cited_by_count":8,"area":null},{"id":"2401.15621","title":"SNAP: Semantic Stories for Next Activity Prediction","created":"2024-01-28","cited_by_count":8,"area":null},{"id":"2110.10225","title":"What Averages Do Not Tell -- Predicting Real Life Processes with Sequential Deep Learning","created":"2021-10-19","cited_by_count":7,"area":null},{"id":"2106.08027","title":"Multivariate Business Process Representation Learning utilizing Gramian Angular Fields and Convolutional Neural Networks","created":"2021-06-15","cited_by_count":6,"area":null},{"id":"2212.06564","title":"Prescriptive Process Monitoring in Intelligent Process Automation with Chatbot Orchestration","created":"2022-12-13","cited_by_count":6,"area":null},{"id":"2205.05446","title":"Predictive Compliance Monitoring in Process-Aware Information Systems: State of the Art, Functionalities, Research Directions","created":"2022-05-10","cited_by_count":5,"area":null},{"id":"2405.16396","title":"Machine learning in business process management: A systematic literature review","created":"2024-05-26","cited_by_count":5,"area":null},{"id":"2503.18067","title":"Self-Explaining Neural Networks for Business Process Monitoring","created":"2025-03-23","cited_by_count":5,"area":null},{"id":"2506.03696","title":"Comprehensive Attribute Encoding and Dynamic LSTM HyperModels for Outcome Oriented Predictive Business Process Monitoring","created":"2025-06-04","cited_by_count":5,"area":null},{"id":"2306.10341","title":"Tailoring Machine Learning for Process Mining","created":"2023-06-17","cited_by_count":4,"area":null},{"id":"2307.05939","title":"Automatically Reconciling the Trade-off between Prediction Accuracy and Earliness in Prescriptive Business Process Monitoring","created":"2023-07-12","cited_by_count":4,"area":null},{"id":"2309.00900","title":"Large Process Models: A Vision for Business Process Management in the Age of Generative AI","created":"2023-09-02","cited_by_count":4,"area":null},{"id":"2309.09618","title":"A Discussion on Generalization in Next-Activity Prediction","created":"2023-09-18","cited_by_count":4,"area":null},{"id":"2104.02372","title":"The Fragility of Noise Estimation in Kalman Filter: Optimization Can Handle Model-Misspecification","created":"2021-04-06","cited_by_count":3,"area":null},{"id":"2203.07949","title":"Generating Privacy-Preserving Process Data with Deep Generative Models","created":"2022-03-15","cited_by_count":3,"area":null},{"id":"2507.23269","title":"XABPs: Towards eXplainable Autonomous Business Processes","created":"2025-07-31","cited_by_count":3,"area":null},{"id":"2302.04018","title":"A Survey on Event Prediction Methods from a Systems Perspective: Bringing Together Disparate Research Areas","created":"2023-02-08","cited_by_count":2,"area":null},{"id":"2504.21074","title":"On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks","created":"2025-04-29","cited_by_count":2,"area":null},{"id":"2105.01092","title":"Process Model Forecasting Using Time Series Analysis of Event Sequence Data","created":"2021-05-03","cited_by_count":1,"area":null},{"id":"2202.00117","title":"Continuous Forecasting via Neural Eigen Decomposition","created":"2022-01-31","cited_by_count":1,"area":null},{"id":"2208.08943","title":"Towards Automated Process Planning and Mining","created":"2022-08-18","cited_by_count":1,"area":null},{"id":"2508.08061","title":"From Source to Target: Leveraging Transfer Learning for Predictive Process Monitoring in Organizations","created":"2025-08-11","cited_by_count":1,"area":null},{"id":"2103.16654","title":"A Systematic Literature Review on Process-Aware Recommender Systems","created":"2021-03-30","cited_by_count":0,"area":null},{"id":"2208.12705","title":"A machine learning approach to predict the structural and magnetic properties of Heusler alloy families","created":"2022-08-07","cited_by_count":0,"area":null},{"id":"2306.14020","title":"Individualized Dosing Dynamics via Neural Eigen Decomposition","created":"2023-06-24","cited_by_count":0,"area":null},{"id":"2508.19016","title":"Working My Way Back to You: Resource-Centric Next-Activity Prediction","created":"2025-08-26","cited_by_count":0,"area":null},{"id":"2608.14367","title":"Mind the Long Tail: Understanding the Difficulty of Delay Detection in Business Processes","created":"2026-08-14","cited_by_count":0,"area":null},{"id":"2609.13477","title":"On the Potential of Multi-Task Learning in Predictive Process Monitoring","created":"2026-09-11","cited_by_count":0,"area":null}],"next_cursor":null}