CLIPS programs I have completed for Expert Systems (Rule-Based AI)

Toolkit for synthesis planning

A rule-based algorithm enabled the automatic extraction of disease labels from tens of thousands of radiology reports. These weak labels were used to create deep learning models to classify multiple diseases for three different organ systems in body CT.

Rule-based modeling for whole-cell models.

Extracted live tweets of customers by using Twitter APIs to create automatic rule-based churn detection algorithm for Verizon, AT&T and T-Mobile.

A Survey on Automatic Generation of Figurative Language: From Rule-based Systems to Large Language Models (ACM Computing Surveys)

This Java-based project aims to predict the probability of a heart attack based on user input, including factors such as sleep duration and monthly consumption of fatty foods.

Intelligent Gamification framework

In this section i will talk about Calculation of Lead Generation with Rule Based Classification

There is progress to be made in building artificially intelligent systems to detect abnormalities that are not only accurate but can handle the true breadth of findings that radiologists encounter in body (chest, abdomen, and pelvis) Computed Tomography (CT). Currently, the major bottleneck for developing multi-disease classifiers is a lack of manually annotated data. The purpose of this work was to develop high throughput multi-label annotators for body CT reports that can be applied across a variety of abnormalities, organs, and disease states thereby mitigating the need for human annotation.

NLP Project - Topic and Focus Identification using Centering Theory

This repository contains RAP, a web-based tool that lets you analyze Ampersand models, generate functional specifications and make prototypes of information systems. It is the primary tool for students of the Open University of the Netherlands in the course Rule Based Design.

deep prototype learning for EHR data

Kappa Snapshot Analysis

S.T.A.R.S: Simulating Traffic Agents in Realistic Scenarios (MRSD Capstone Project at CMU)

Python scripts to analyze and visualize the data presented in the research article: "The maximum solubility product marks the threshold for condensation of multivalent biomolecules".

Rule based and market basket based recommendation system for retail data.

A structured project for time series analysis and forecasting using statistical methods

Self-made Mamdani Fuzzy Inference System

Extraction​ ​ of​ ​ method​ ​ phrases​ ​ that​ ​ contain​ ​ an​ ​ explicit​ ​ mention​ ​ of​ ​ method​ ​ keyword.Linguistic​ ​ techniques​ ​ as​ ​ well​ ​ as​ ​ Statistical​ ​ methods​ ​ are​ ​ expected​ ​ to​ ​ be​ ​ used. Reference:​​ http://www.aclweb.org/anthology/C12-1074

Models for Biochemical and Biophysical Research Communications manuscript

Outline of a Rule Based Anaphora Resolution System for Bengali

This repository contains a simple Rule-Based Model for Parts-of-Speech tagging in Assamese-English code mixed texts.

Two-part ML challenge: (1) Stacking ensemble achieving R²=0.844 for high-dimensional regression, (2) Interpretable rule discovery with R²=0.915 for edge device deployment. Gradient boosting + Optuna optimization.

A stochastic procedural modelling tool developed as part of my master thesis.

A Python package to analyze multivalent biomolecular clusters.

JRBA - An extension of JADE agent platform which introduced rule-based agent behaviours

Rule-Based Classification for Calculating Potential Customer Revenue