Projects
Predictive Analytics for Customer Intelligence: Data Augmentation Ghent University
Next to algorithm improvement and time window optimization, data augmentation is a strategy for improving the predictive performance of customer behavior models. Data augmentation consists in evaluating the added value of different data types with respect to predictive performance. This project aims to investigate data augmentation in a large social network for predicting user upsell and network growth.
The Role of Service Robots in Service Encounters: The Impact of Service Encounter Decisions on Customer Outcomes KU Leuven
The personality of the service robots in the future.
investigation the value of shopping path data for marketing intelligence Ghent University
This proposal is about tracking the movements of customers 'i.e. paths) in a shop environment such as shopping-malls. Path data contains valuable information for marketind researchers because it describes how consumers interact with their environment. The aim of this project is to develop methods for descriptive as well as more advanced analyses to generate managerial insight for this new data source.
Leveraging Mobile Phone Data and Social Network Analytics for Profit Driven Modeling. KU Leuven
In the rapidly growing world of data science and analytics, data has become an asset that gives companies a competitive edge in fierce and saturated markets. To make the most of all the available data and resources, it is necessary to be mindful of each phase in the analytics process and especially by using the appropriate data with the right techniques and an evaluation that is befitting for the problem at hand. This dissertation considers ...
Prosumer Flexibility HOWEST
Foundations of Recommender Systems. University of Antwerp
Context-Aware Fashion Recommendations through Image Processing and Conversational Language Technology. University of Antwerp
Machine Learning Acceleration on Heterogeneous Platforms KU Leuven
Advances in the fields of biomedical sensors, wearables and medical implants, in combination with state-of-the-art algorithms from signal processing, machine learning and artificial intelligence, are transforming the healthcare landscape. Systems built around these technologies enable remote health monitoring, improve patient care, detect life-threatening conditions or even predict health events. Yet the full integration of such technologies ...
IOF Proof of Concept: Gonogo - Go/no-go decision support with AI Vrije Universiteit Brussel
often in fact the ultimate test of business strategies. AI is the perfect candidate to support managers taking
these decisions in an evidence-based way.
This project aims to (1) improve the technological maturity of the solution developed at the Artificial
Intelligence Lab, from TRL4 to TRL6, (2) develop a good ...