Bart Baesens (DataMiningApps)

6 3 E Business part C

E business part B - On Line Payment, B2B technologies, Supply Chain Management

6 1 E business part A - Introduction, Business Models

Using AI for Fraud Detection - EURO Seminar Series on Operational Research and Machine Learning

Environmental vs Financial Materiality

Using AI for Fraud Detection: Recent Research Insights and Emerging Opportunities

Fundamentals in Climate Risk & Sustainability Management: Physical Risk Data & Assessment

Gaining T(h)rust with AI - Guest Lecture for Odesa I.I. Mechnikov National University

Gaining T(h)rust with AI

Royal Navy

Bitcoin, Crytptocurrencies and Blockchain explained.

Model Risk

Research Collaboration Bart Baesens/Seppe vanden Broucke - National Museum of the Royal Navy

Introduction to Analytics

Boosting Credit Risk Models

Prof Bart BIEF screen record 2023 06 10

Social Networks for Fraud Detection - University of Nottingham Malaysia Campus

Challenges in Machine Learning ( Odesa I.I. Mechnikov National University)

Boosting Credit Risk Models by Prof. Bart Baesens

Master of Information Management

Fraud Analytics lecture 1

HR analytics

DBSCAN

Master of Information Management

6A E business part D

6 E business part C

6 E business part A

5 Business Intelligence and Analytics Part D

5 Business Intelligence and Analytics Part C

5 Business Intelligence and Analytics Part B