ishwarvenugopal / GCN-ProcessPrediction
A Deep Learning model for business process predictions. Preprint on arXiv: https://arxiv.org/abs/2102.07838
☆12Updated 4 years ago
Alternatives and similar repositories for GCN-ProcessPrediction:
Users that are interested in GCN-ProcessPrediction are comparing it to the libraries listed below
- This is the complementary code repository for the BINet papers.☆27Updated 3 years ago
- ☆105Updated 5 years ago
- Repository containing all implementations and experiments for the EDBN model.☆18Updated 3 years ago
- Learning Accurate Generative Models of Business Processes With LSTM Neural Networks☆29Updated 11 months ago
- https://arxiv.org/abs/2009.01561☆23Updated 2 years ago
- Explaining Anomalies Detected by Autoencoders Using SHAP☆40Updated 3 years ago
- Comparative experimental evaluation of outcome-oriented predictive monitoring techniques on a benchmark consisting of 24 real-world datas…☆32Updated 3 years ago
- ☆13Updated 3 years ago
- This repository generates process mining event log features. Most of the features have been extracted from several process mining scienti…☆12Updated 3 years ago
- Code for the paper "LSTM Networks for Data-Aware Remaining Time Prediction of Business Process Instances"☆9Updated 7 years ago
- PROVED (PRocess mining OVer uncErtain Data) is a library of functionalities to perform process mining on uncertain event data.☆12Updated 2 years ago
- Transformer Network for Predictive Business Process Monitoring Tasks☆40Updated 5 months ago
- Multi view deep learning based approach for next activity prediction☆14Updated 2 years ago
- A study of distance measures and learning methods for semi-supervised learning on time series data☆17Updated 3 years ago
- Time Series Classification with Multiple Symbolic Representations.☆37Updated 4 years ago
- Scripts related to predictive business process monitoring framework with structured and unstructured (textual) data.☆8Updated 6 years ago
- Source code and dataset for the paper ""☆29Updated 4 years ago
- ☆19Updated 6 years ago
- Multivariate recurrent GANs aimed at generating biomedical time-series. Methodology involves drawing symmetries to adversarial image gene…☆24Updated 7 months ago
- Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification☆95Updated last year
- Python Implementation of Decay Replay Mining (DREAM)☆26Updated 2 years ago
- Jithsaavvy / Explaining-deep-learning-models-for-detecting-anomalies-in-time-series-data-RnD-projectThis research work focuses on comparing the existing approaches to explain the decisions of models trained using time-series data and pro…☆26Updated 2 years ago
- ☆11Updated 3 years ago
- ☆20Updated 3 years ago
- A simple flask application to collect annotations for the Turing Change Point Dataset, a benchmark dataset for change point detection alg…☆20Updated 4 years ago
- Automatic process simulation using Simpy and Pm4py.☆18Updated 3 years ago
- GANs for Time series analysis (Synthetic data generation, anomaly detection and interpolation), Hypertuning using Optuna, MLFlow and Data…☆70Updated 2 years ago
- ☆10Updated 4 years ago
- Classification of multiple non-stationary time-series by using Continuous Wavelet Transformation☆16Updated 5 years ago
- This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)☆58Updated 6 years ago