Pinned Repositories
upliftml
UpliftML: A Python Package for Scalable Uplift Modeling
business-process-embeddings
Representation learning for different business process concepts (e.g. activity, resource, event). The aim is to learn an embedding function that maps a value (of a given concept) to an m-dimensional real-valued vector.
causalml
Uplift modeling and causal inference with machine learning algorithms
clustering-based-predictive-monitoring
Clustering-based predictive process monitoring
predictive-monitoring-benchmark
Comparative experimental evaluation of outcome-oriented predictive monitoring techniques on a benchmark consisting of 24 real-world datasets.
predictive-monitoring-thesis
This repository contains scripts used in Irene Teinemaa's PhD thesis titled "Predictive and Prescriptive Monitoring of Business Process Outcomes"
PredictiveMonitoringWithText
Scripts related to predictive business process monitoring framework with structured and unstructured (textual) data.
recsys-challenge-2018
Code for the final solution submitted to the RecSys Challenge 2018.
stability-predictive-monitoring
This repository contains scripts for predictive monitoring methods (random forest, XGBoost, and LSTM based) and assessing the prediction accuracy and temporal prediction stability.
AlarmBasedProcessPrediction
irhete's Repositories
irhete/predictive-monitoring-benchmark
Comparative experimental evaluation of outcome-oriented predictive monitoring techniques on a benchmark consisting of 24 real-world datasets.
irhete/stability-predictive-monitoring
This repository contains scripts for predictive monitoring methods (random forest, XGBoost, and LSTM based) and assessing the prediction accuracy and temporal prediction stability.
irhete/PredictiveMonitoringWithText
Scripts related to predictive business process monitoring framework with structured and unstructured (textual) data.
irhete/recsys-challenge-2018
Code for the final solution submitted to the RecSys Challenge 2018.
irhete/predictive-monitoring-thesis
This repository contains scripts used in Irene Teinemaa's PhD thesis titled "Predictive and Prescriptive Monitoring of Business Process Outcomes"
irhete/clustering-based-predictive-monitoring
Clustering-based predictive process monitoring
irhete/business-process-embeddings
Representation learning for different business process concepts (e.g. activity, resource, event). The aim is to learn an embedding function that maps a value (of a given concept) to an m-dimensional real-valued vector.
irhete/causalml
Uplift modeling and causal inference with machine learning algorithms
irhete/graphScope
irhete/liferay-assignment-companies
irhete/lstm-business-process-trace-generation
This repository contains scripts for training an LSTM for predicting the next event in a trace and generating new traces with this model.
irhete/resource-experience-predictive-monitoring
This repository contains scripts for modeling resource experience as inter-case features for outcome-oriented predictive business process monitoring.
irhete/election
irhete/amazonsearch
irhete/assignment-one
Esimene kodune ülesanne
irhete/blackbox
Reinforcement learning algorithms for Blackbox challenge
irhete/blog
Ruby-kursuse 2. vaheülesanne
irhete/chatroom
irhete/interpretable-predictive-monitoring
Interpretable Predictive Monitoring for Business Processes using LSTMs
irhete/irhete.github.io
irhete/liferay-assignment
irhete/liferay-assignment-common
irhete/liferay-assignment-company-portlet
irhete/liferay-assignment-telia-theme
irhete/liferay-internationalisation
irhete/lstm-predictive-monitoring
irhete/resume
irhete/smsgateway