Course Material: Business Analytics and Decision Support with R

CRIteria Significance determining in PYthoN - The Python 3 Library for determining criteria weights for MCDA methods.

Reinforcement learning framework for decision-level interception prioritization of drone swarms.

Using ML to predict the diagnosis, management, and severity of pediatric appendicitis

Pakcage perhitungan sistem pendukung keputusan metode Fuzzy AHP menggunakan PHP.

Supplemental material like code, exercises, datasets, notes etc. for my book "The Modern Business Data Analyst: A Case Study Introduction into Business Analytics with CRISP-DM and R"

Project Kasus Simpel mengenai Sistem Pendukung Keputusan pada berbagai algoritma

Computer-based Decision Support Systems - Spring 2018

An Intro to Programming in VBA (Computer-based Decision Support Systems - Spring 2019)

Open Source Software Resources for Programming Multicriteria Applications

🌾 AI-powered smart agriculture decision support system using machine learning 🌱🤖 and real-time APIs, built with PHP for crop disease detection, AI-based treatment planning, ROI statistics, and real-time market data, with admin management and dataset model training. Stored in a database and csv, Mysql.

Code for "Towards Human-AI Complementarity with Prediction Sets", NeurIPS 2024

Course repository forpersonal notes to DSAI 3302 (Expert Systems) covering rule-based systems, knowledge representation, inference engines, and practical AI implementations using Python.

The code accompanies the paper "Clustering temporal disease networks to assist clinical decision support systems in visual analytics of comorbidity progression".

End-to-End Python implementation of the Heuristic-Augmented Financial Risk Index (HAFRI) framework from Abdullah et al. (2025). Processes expert surveys and financial statements to generate composite risk scores, enabling robust ranking of fiscal periods through hierarchical decomposition and consistency validation.

This project is an implementation of a research line carried out by Matías E. Gandolfo, Martín E. Buron Brarda, Luciano H. Tamargo, and Alejandro J. García, all of them members of the Institute for Computer Science and Engineering (UNS-CONICET), Department of Computer Science & Engineering, Universidad Nacional del Sur, Bahía Blanca, Argentina

This repository hosts the DECIDE-DSS prototype, which presents the initial idea for an universally designed outcome-driven decision support system. It incorporate network analysis to other forms of urban analytics in themes such as climate adaptation, disaster-risk management, urbal liveability and management of antisocial behaviours (i.e. crime).

Computer-based Decision Support Systems - Fall 2018

Config files for my GitHub profile.

This repository is dedicated only to my students enrolled in DSAI 3302 in 2026!