Cover Image

Leveraging Data Augmentation and Siamese Learning for Predictive Process Monitoring

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	van Straten, Sjoerd, Padella, Alessandro, Hassani, Marwan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Chameleons do not Forget: Prompt-Based Online Continual Learning for Next Activity Prediction
by: Hassani, Marwan, et al.
Published: (2026)

Achieving Fairness in Predictive Process Analytics via Adversarial Learning (Extended Version)
by: de Leoni, Massimiliano, et al.
Published: (2024)

SiameseDuo++: Active Learning from Data Streams with Dual Augmented Siamese Networks
by: Malialis, Kleanthis, et al.
Published: (2025)

Extracting Money Laundering Transactions from Quasi-Temporal Graph Representation
by: Tariq, Haseeb, et al.
Published: (2026)

Detecting Complex Money Laundering Patterns with Incremental and Distributed Graph Modeling
by: Tariq, Haseeb, et al.
Published: (2026)

Topology-Agnostic Detection of Temporal Money Laundering Flows in Billion-Scale Transactions
by: Tariq, Haseeb, et al.
Published: (2023)

Exploring LLM Features in Predictive Process Monitoring for Small-Scale Event-Logs
by: Padella, Alessandro, et al.
Published: (2026)

From Source to Target: Leveraging Transfer Learning for Predictive Process Monitoring in Organizations
by: Weinzierl, Sven, et al.
Published: (2025)

Conformal Prediction with Learned Features
by: Kiyani, Shayan, et al.
Published: (2024)

scSiameseClu: A Siamese Clustering Framework for Interpreting single-cell RNA Sequencing Data
by: Xu, Ping, et al.
Published: (2025)

Generating the Ground Truth: Synthetic Data for Soft Label and Label Noise Research
by: de Vries, Sjoerd, et al.
Published: (2023)

Leveraging Data to Say No: Memory Augmented Plug-and-Play Selective Prediction
by: Sarkar, Aditya, et al.
Published: (2026)

Distribution-Free Process Monitoring with Conformal Prediction
by: Burger, Christopher
Published: (2025)

Differentially Private Datastore Generation for Retrieval-Augmented Inference
by: Abouelenein, Abdelrahman, et al.
Published: (2026)

Learning with Confidence: Training Better Classifiers from Soft Labels
by: de Vries, Sjoerd, et al.
Published: (2024)

Improving Generalization in Game Agents with Data Augmentation in Imitation Learning
by: Yadgaroff, Derek, et al.
Published: (2023)

Learning Defect Prediction from Unrealistic Data
by: Alrashedy, Kamel, et al.
Published: (2023)

On the Simplification of Neural Network Architectures for Predictive Process Monitoring
by: Ansari, Amaan, et al.
Published: (2025)

Asymptotics of Linear Regression with Linearly Dependent Data
by: Moniri, Behrad, et al.
Published: (2024)

Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent
by: Moniri, Behrad, et al.
Published: (2026)

Groningen: Spatial Prediction of Rock Gas Saturation by Leveraging Selected and Augmented Well and Seismic Data with Classifier Ensembles
by: Ivlev, Dmitry
Published: (2024)

Siamese Machine Unlearning with Knowledge Vaporization and Concentration
by: Xie, Songjie, et al.
Published: (2024)

Achieving Group Fairness through Independence in Predictive Process Monitoring
by: Peeperkorn, Jari, et al.
Published: (2024)

Stream-Based Active Learning for Process Monitoring
by: Capezza, Christian, et al.
Published: (2024)

ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in Advertising
by: Wang, Ruize, et al.
Published: (2024)

Leveraging Variation Theory in Counterfactual Data Augmentation for Optimized Active Learning
by: Gebreegziabher, Simret Araya, et al.
Published: (2024)

Length Optimization in Conformal Prediction
by: Kiyani, Shayan, et al.
Published: (2024)

HOEG: A New Approach for Object-Centric Predictive Process Monitoring
by: Smit, Tim K., et al.
Published: (2024)

Target-Aware Data Augmentation for SAT Prediction
by: Gal, Eshed, et al.
Published: (2026)

How Does Code Pretraining Affect Language Model Task Performance?
by: Petty, Jackson, et al.
Published: (2024)

Simulation-Enhanced Data Augmentation for Machine Learning Pathloss Prediction
by: Mohamed, Ahmed P., et al.
Published: (2024)

Learning Robust and Task-Invariant Functional Representation from fMRI through Siamese Self-Supervised Learning
by: Wang, Jiyao, et al.
Published: (2026)

Sculpting Quantum Landscapes: Fubini-Study Metric Conditioning for Geometry Aware Learning in Parameterized Quantum Circuits
by: Haddou, Marwan Ait, et al.
Published: (2025)

Self-Supervised Siamese Autoencoders
by: Baier, Friederike, et al.
Published: (2023)

Risk-Controlled Post-Processing of Decision Policies
by: Joshi, Sunay, et al.
Published: (2026)

SELM: Siamese Extreme Learning Machine with Application to Face Biometrics
by: Kudisthalert, Wasu, et al.
Published: (2021)

Approximate Attributions for Off-the-Shelf Siamese Transformers
by: Möller, Lucas, et al.
Published: (2024)

Hybrid Adaptive Modeling in Process Monitoring: Leveraging Sequence Encoders and Physics-Informed Neural Networks
by: Elaarabi, Mouad, et al.
Published: (2025)

Robust VAEs via Generating Process of Noise Augmented Data
by: Irobe, Hiroo, et al.
Published: (2024)

Multivariate Data Augmentation for Predictive Maintenance using Diffusion
by: Thompson, Andrew, et al.
Published: (2024)