DrCaptcha is an interactive machine learning application. The purpose of the program is to the feedback provided by users, and to use it to optimize a machine learning model. The purpose of this model is to recognize handwritten letters and numbers.

Python package for optimal aggregation of bagged ensemble models

Create an arbitrary graph of models and meta-models to form an ensemble. This can be viewed as a generalisation of stacking ensembles.

An end-to-end fraudulent detection model based on credit card transaction

Three other students and me developed a machine learning model for an assignment at TiU. We predicted the publication year of scientific articles based on metadata (entrytype, author, abstract, editor, and publisher). Our evaluation metric was mean absolute error. Our ensemble model predicted with an MAE of 3.34. More information is in the report.

Automatic Design of Semantic Similarity Ensembles Using Grammatical Evolution

Stacking Classifier with parallel computing architecture based on Message Passing Interface.

Short experiments on the Mixture of Softmax technique

End-to-end ensemble model that integrates several neural networks trained on distinct features with attention mechanism.

Bachelor's Thesis : Estimation of Anemia from nailbed, conjunctiva and fingertip images with an Ensemble Model and aggregating with the Borda Count Method. Deployment with standalone PyQT interface and Flask WebApp

The repository provides basic formulae and a sample code to instantiate "Privacy at risk" for the Laplace mechanism.

Deep Learning and Decision Trees Ensemble Methods based Audiovisual Perceived Quality Models. These models are based on the INRS audiovisual quality dataset that can be found on this GitHub repository.

The methods used in this thesis study consisted of Least Absolute Selection Operator (Lasso), Ridge, LightGBM, and XGBoost, Multiple linear regression, Ridge regression, LightGBM, XGBoost. With the use of a variety of regression methods it's being able to predict the sale price of the house. In addition, this model also helps identify which char…

Ensemble learning em python para classificação de texto em nótícias

Minor/adult classification using an ensemble of shallow multilayer perceptrons.

Multitask learning via pseudo-label generation and ensemble prediction for parasitic egg cell detection: IEEE ICIP Challenge 2022 (3rd place solution)

Hint assisted reinforcement learning

主要包含ModelHelper和NLPHelper，其中ModelHelper主要有特征选择、超参数搜索、模型解释和模型融合等，NLPHelper则是进一步封装了NLP一些常用的操作，常用的网络结构以及几个NLP的任务

Diversity-Promoting Ensemble for Medical Image Segmentation

An ensemble model for pneumonia detection that achieves 95.51% accuracy and 96.44 % F1 score on the ChestXRay17 dataset.