Researcher
Toon De Pessemier
- Disciplines:Machine learning and decision making, Web information systems, Data mining
Affiliations
- Department of Information technology (Department)
Member
From1 Sep 2006 → Today
Projects
1 - 3 of 3
- Promoting news diversity: An interdisciplinary investigation into algorithmic design, personalization and the public interestFrom1 Jan 2018 → 31 Dec 2021Funding: BOF - Concerted Research Project from 1994
- Design and validation of innovative techniques to assists people in the decision making process by analyzing data of user behavior and contextual featuresFrom1 Oct 2014 → 31 Dec 2017Funding: BOF - Other initiatives
- Development and validation of methods that reduce the complexity for users and content providers by personalisation algorithms, social networks and user contextFrom1 Oct 2007 → 30 Sep 2011Funding: FWO fellowships, BOF - Other initiatives
Publications
1 - 10 of 113
- Analyzing accuracy versus diversity in a health recommender system for physical activities : a longitudinal user study(2023)
Authors: Ine Coppens, Luc Martens, Toon De Pessemier, Jie Zhang, Li Chen, Shlomo Berkovsky, Min Zhang, Tommaso di Noia, Justin Basilico, Luiz Pizzato, et al.
Pages: 1146 - 1151 - Comparing familiar with inspiring recommendations to assist people in moving more(2023)Volume: 3359
Authors: Ine Coppens, Luc Martens, Toon De Pessemier
Pages: 8 - 16 - Recipe recommendations for individual users and groups in a cooking assistance app(2023)
Authors: Toon De Pessemier, Kris Vanhecke, Anissa All, Stephanie Van Hove, Lieven De Marez, Luc Martens, Wout Joseph, David Plets
Pages: 27027 - 27043 - Personalising augmented soundscapes for supporting persons with dementia(2023)
Authors: Toon De Pessemier, Kris Vanhecke, Pieter Thomas, Tara Vander Mynsbrugge, Stefaan Vercoutere, Dominique Van de Velde, Patricia De Vriendt, Wout Joseph, Luc Martens, Dick Botteldooren, et al.
Pages: 14171 - 14192 - Motivating people to move more with personalized activity and tip recommendations : a randomized controlled trial(2023)
Authors: Ine Coppens, Luc Martens, Toon De Pessemier
Pages: 123 - 126 - Optimizing the focusing performance of non-ideal cell-free mMIMO using genetic algorithm for indoor scenario(2022)
Authors: Ke Shen, Siavash Safapourhajari, Toon De Pessemier, Luc Martens, Wout Joseph, Yang Miao
Pages: 8832 - 8845 - Energy-efficient flow-shop scheduling in the printing industry using memetic algorithm(2022)
Authors: Ke Shen, Fabian Heyse, Toon De Pessemier, Luc Martens, Wout Joseph
Number of pages: 1 - Enhancing the park experience by giving visitors control over the park's soundscape(2022)
Authors: Toon De Pessemier, Timothy Van Renterghem, Kris Vanhecke, Anissa All, Karlo Filipan, Kang Sun, Bert De Coensel, Lieven De Marez, Luc Martens, Dick Botteldooren, et al.
Pages: 99 - 118 - SFN gain prediction by neural networks for enhancing Layer 2 coverage in LDM systems(2022)
Authors: Yosvany Hervis Santana, David Plets, Toon De Pessemier, Rodney Martinez Alonso, Glauco Guillen Nieto, Luc Martens, Wout Joseph
Pages: 171 - 179 - Genetic algorithm combined with ray tracer for optimizing cell-free mMIMO topology in a confined environment(2021)
Authors: Ke Shen, Toon De Pessemier, Luc Martens, Wout Joseph, Yang Miao
Number of pages: 1