Toon De Pessemier

88 papers A 5B 2C 10Journal 42Unranked 29
YearRankTypeTitle / Venue / Authors
2025 J jnl
Hybrid transformer-based recommender system for political news.
J. Intell. Inf. Syst.
Stefaan Vercoutere, Toon De Pessemier, Luc Martens
2025 J jnl
Improving consumption diversity via graph-based topic nudging.
User Model. User Adapt. Interact.
Stefaan Vercoutere, Glen Joris, Toon De Pessemier, Luc Martens
2025 J jnl
Investigating different recommender algorithms in the domain of physical activity recommendations: a longitudinal between-subjects user study.
User Model. User Adapt. Interact.
Ine Coppens, Toon De Pessemier, Luc Martens
2024 A conf
Balancing Habit Repetition and New Activity Exploration: A Longitudinal Micro-Randomized Trial in Physical Activity Recommendations.
RecSys
Ine Coppens, Toon De Pessemier, Luc Martens
2024 J jnl
Connecting physical activity with context and motivation: a user study to define variables to integrate into mobile health recommenders.
User Model. User Adapt. Interact.
Ine Coppens, Toon De Pessemier, Luc Martens
2024 — conf
Explaining Decision-Making between Exploration and Repetition: Key Factors for Physical Activity Recommendations.
HealthRecSys@RecSys
Ine Coppens, Toon De Pessemier, Luc Martens
2024 J jnl
Exploring the added effect of three recommender system techniques in mobile health interventions for physical activity: a longitudinal randomized controlled trial.
User Model. User Adapt. Interact.
Ine Coppens, Toon De Pessemier, Luc Martens
2024 J jnl
Improving selection diversity using hybrid graph-based news recommenders.
User Model. User Adapt. Interact.
Stefaan Vercoutere, Glen Joris, Toon De Pessemier, Luc Martens
2024 — conf
Repeating my Workouts or Exploring new Activities? A Longitudinal Micro-Randomized User Study for Physical Activity Recommender Systems.
UMAP (Adjunct Publication)
Ine Coppens, Toon De Pessemier, Luc Martens
2023 A conf
Analyzing Accuracy versus Diversity in a Health Recommender System for Physical Activities: a Longitudinal User Study.
RecSys
Ine Coppens, Luc Martens, Toon De Pessemier
2023 — conf
Comparing Familiar with Inspiring Recommendations to Assist People in Moving More 8-16.
IUI Workshops
Ine Coppens, Luc Martens, Toon De Pessemier
2023 — conf
Motivating People to Move More with Personalized Activity and Tip Recommendations: a Randomized Controlled Trial.
IUI Companion
Ine Coppens, Luc Martens, Toon De Pessemier
2023 J jnl
Personalising augmented soundscapes for supporting persons with dementia.
Multim. Tools Appl.
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, Paul Devos
2023 J jnl
Recipe recommendations for individual users and groups in a cooking assistance app.
Appl. Intell.
Toon De Pessemier, Kris Vanhecke, Anissa All, Stephanie Van Hove, Lieven De Marez, Luc Martens, Wout Joseph, David Plets
2022 J jnl
Batch versus Sequential Active Learning for Recommender Systems.
CoRR
Toon De Pessemier, Sander Vanhove, Luc Martens
2022 C conf
Energy-efficient Flow-shop Scheduling in the Printing Industry using Memetic Algorithm.
ETFA
Ke Shen, Fabian Heyse, Toon De Pessemier, Luc Martens, Wout Joseph
2022 J jnl
Enhancing the park experience by giving visitors control over the park's soundscape.
J. Ambient Intell. Smart Environ.
Toon De Pessemier, Timothy Van Renterghem, Kris Vanhecke, Anissa All, Karlo Filipan, Kang Sun, Bert De Coensel, Lieven De Marez, Luc Martens, Dick Botteldooren, Wout Joseph
2022 J jnl
Optimizing the Focusing Performance of Non-Ideal Cell-Free mMIMO Using Genetic Algorithm for Indoor Scenario.
IEEE Trans. Wirel. Commun.
Ke Shen, Siavash Safapourhajari, Toon De Pessemier, Luc Martens, Wout Joseph, Yang Miao
2022 J jnl
SFN Gain Prediction by Neural Networks for Enhancing Layer 2 Coverage in LDM Systems.
IEEE Trans. Broadcast.
Yosvany Hervis Santana, David Plets, Toon De Pessemier, Rodney Martinez Alonso, Glauco Guillen Nieto, Luc Martens, Wout Joseph
2021 J jnl
A parallel genetic algorithm for multi-objective flexible flowshop scheduling in pasta manufacturing.
Comput. Ind. Eng.
Ke Shen, Toon De Pessemier, Luc Martens, Wout Joseph
2020 J jnl
Badminton Activity Recognition Using Accelerometer Data.
Sensors
Tim Steels, Ben Van Herbruggen, Jaron Fontaine, Toon De Pessemier, David Plets, Eli De Poorter
2020 J jnl
Detection of road pavement quality using statistical clustering methods.
J. Intell. Inf. Syst.
Joachim David, Toon De Pessemier, Luc Dekoninck, Bert De Coensel, Wout Joseph, Dick Botteldooren, Luc Martens
2020 J jnl
Evaluating facial recognition services as interaction technique for recommender systems.
Multim. Tools Appl.
Toon De Pessemier, Ine Coppens, Luc Martens
2019 C conf
An efficient genetic method for multi-objective continuous production scheduling in Industrial Internet of Things.
ETFA
Ke Shen, Joachim David, Toon De Pessemier, Luc Martens, Wout Joseph
2019 J jnl
Energy- and Labor-Aware Production Scheduling for Industrial Demand Response Using Adaptive Multiobjective Memetic Algorithm.
IEEE Trans. Ind. Informatics
Xu Gong, Ying Liu, Niels Lohse, Toon De Pessemier, Luc Martens, Wout Joseph
2019 J jnl
Genetic Optimization of Energy- and Failure-Aware Continuous Production Scheduling in Pasta Manufacturing.
Sensors
Ke Shen, Toon De Pessemier, Xu Gong, Luc Martens, Wout Joseph
2019 — conf
News Diversity and Recommendation Systems: Setting the Interdisciplinary Scene.
Privacy and Identity Management
Glen Joris, Camiel Colruyt, Judith Vermeulen, Stefaan Vercoutere, Frederik De Grove, Kristin Van Damme, Orphée De Clercq, Cynthia Van Hee, Lieven De Marez, Véronique Hoste, Eva Lievens, Toon De Pessemier, Luc Martens
2019 — conf
Using Facial Recognition Services as Implicit Feedback for Recommenders.
IntRS@RecSys
Toon De Pessemier, Ine Coppens, Luc Martens
2018 J jnl
An efficient genetic algorithm for large-scale planning of dense and robust industrial wireless networks.
Expert Syst. Appl.
Xu Gong, David Plets, Emmeric Tanghe, Toon De Pessemier, Luc Martens, Wout Joseph
2018 J jnl
An efficient genetic algorithm for large-scale transmit power control of dense and robust wireless networks in harsh industrial environments.
Appl. Soft Comput.
Xu Gong, David Plets, Emmeric Tanghe, Toon De Pessemier, Luc Martens, Wout Joseph
2018 J jnl
Heart rate monitoring, activity recognition, and recommendation for e-coaching.
Multim. Tools Appl.
Toon De Pessemier, Luc Martens
2017 J jnl
An efficient genetic algorithm for large-scale planning of robust industrial wireless networks.
CoRR
Xu Gong, David Plets, Emmeric Tanghe, Toon De Pessemier, Luc Martens, Wout Joseph
2017 J jnl
An efficient genetic algorithm for large-scale transmit power control of dense industrial wireless networks.
CoRR
Xu Gong, David Plets, Emmeric Tanghe, Toon De Pessemier, Luc Martens, Wout Joseph
2017 J jnl
Hybrid group recommendations for a travel service.
Multim. Tools Appl.
Toon De Pessemier, Jeroen Dhondt, Luc Martens
2017 — conf
Intuitive human-device interaction for video control and feedback.
BMSB
Toon De Pessemier, Luc Martens, Wout Joseph
2017 — conf
SemCoTrip: A Variety-Seeking Model for Recommending Travel Activities in a Composite Trip.
IEA/AIE (1)
Montassar Ben Messaoud, Ilyes Jenhani, Eya Garci, Toon De Pessemier
2016 J jnl
A Framework for Dataset Benchmarking and Its Application to a New Movie Rating Dataset.
ACM Trans. Intell. Syst. Technol.
Simon Dooms, Alejandro Bellogín, Toon De Pessemier, Luc Martens
2016 C conf
A power data driven energy-cost-aware production scheduling method for sustainable manufacturing at the unit process level.
ETFA
Xu Gong, Toon De Pessemier, Wout Joseph, Luc Martens
2016 — conf
A scalable, high-performance Algorithm for hybrid job recommendations.
RecSys Challenge
Toon De Pessemier, Kris Vanhecke, Luc Martens
2016 J jnl
A user-centric evaluation of context-aware recommendations for a mobile news service.
Multim. Tools Appl.
Toon De Pessemier, Cédric Courtois, Kris Vanhecke, Kristin Van Damme, Luc Martens, Lieven De Marez
2016 — conf
Enhancing Recommender Systems for TV by Face Recognition.
WEBIST (2)
Toon De Pessemier, Damien Verlee, Luc Martens
2016 J jnl
Quality assessment and usage behavior of a mobile voice-over-IP service.
Telecommun. Syst.
Toon De Pessemier, Isabelle Stevens, Lieven De Marez, Luc Martens, Wout Joseph
2015 — conf
A Personalized and Context-Aware News Offer for Mobile Devices.
WEBIST (Revised Selected Papers)
Toon De Pessemier, Kris Vanhecke, Luc Martens
2015 J jnl
Analysis of the quality of experience of a commercial voice-over-IP service.
Multim. Tools Appl.
Toon De Pessemier, Isabelle Stevens, Lieven De Marez, Luc Martens, Wout Joseph
2015 — conf
Combining Collaborative Filtering and Search Engine into Hybrid News Recommendations.
INRA@RecSys
Toon De Pessemier, Sam Leroux, Kris Vanhecke, Luc Martens
2015 — conf
Dynamic optimization of the quality of experience during mobile video watching.
BMSB
Toon De Pessemier, Luc Martens, Wout Joseph
2015 J jnl
Offline optimization for user-specific hybrid recommender systems.
Multim. Tools Appl.
Simon Dooms, Toon De Pessemier, Luc Martens
2015 J jnl
Online optimization for user-specific hybrid recommender systems.
Multim. Tools Appl.
Simon Dooms, Toon De Pessemier, Luc Martens
2015 C conf
The Information Value of Context for a Mobile News Service.
WEBIST
Toon De Pessemier, Kris Vanhecke, Luc Martens
2014 — conf
A Hybrid Strategy for Privacy-Preserving Recommendations for Mobile Shopping.
CBRecSys@RecSys
Toon De Pessemier, Kris Vanhecke, Luc Martens
2014 — conf
A large-scale, long-term, user-centric evaluation of a commercial voice-over-IP application.
BMSB
Toon De Pessemier, Luc Martens, Wout Joseph
2014 J jnl
Comparison of group recommendation algorithms.
Multim. Tools Appl.
Toon De Pessemier, Simon Dooms, Luc Martens
2014 J jnl
Context-aware recommendations through context and activity recognition in a mobile environment.
Multim. Tools Appl.
Toon De Pessemier, Simon Dooms, Luc Martens
2014 — conf
Improving IMDb Movie Recommendations with Interactive Settings and Filters.
RecSys Posters
Simon Dooms, Toon De Pessemier, Luc Martens
2014 J jnl
In-memory, distributed content-based recommender system.
J. Intell. Inf. Syst.
Simon Dooms, Pieter Audenaert, Jan Fostier, Toon De Pessemier, Luc Martens
2014 — conf
Mining cross-domain rating datasets from structured data on twitter.
WWW (Companion Volume)
Simon Dooms, Toon De Pessemier, Luc Martens
2014 J jnl
OMUS: an optimized multimedia service for the home environment.
Multim. Tools Appl.
Simon Dooms, Toon De Pessemier, Dieter Verslype, Jelle Nelis, Jonas De Meulenaere, Wendy Van den Broeck, Luc Martens, Chris Develder
2014 B conf
inShopnito: An Advanced yet Privacy-Friendly Mobile Shopping Application.
SERVICES
Andreas Put, Italo Dacosta, Milica Milutinovic, Bart De Decker, Stefaan Seys, Faysal Boukayoua, Vincent Naessens, Kris Vanhecke, Toon De Pessemier, Luc Martens
2013 A conf
A food recommender for patients in a care facility.
RecSys
Toon De Pessemier, Simon Dooms, Luc Martens
2013 — conf
An Improved Data Aggregation Strategy for Group Recommendations.
Decisions@RecSys
Toon De Pessemier, Simon Dooms, Luc Martens
2013 J jnl
Automatic news recommendations via aggregated profiling.
Multim. Tools Appl.
Erik Mannens, Sam Coppens, Toon De Pessemier, Hendrik Dacquin, Davy Van Deursen, Robbie De Sutter, Rik Van de Walle
2013 C conf
Caching Strategies for In-memory Neighborhood-based Recommender Systems.
WEBIST
Simon Dooms, Toon De Pessemier, Luc Martens
2013 — conf
Context and Activity Recognition for Personalized Mobile Recommendations.
WEBIST (Selected Papers)
Toon De Pessemier, Simon Dooms, Kris Vanhecke, Bart Matté, Ewout Meyns, Luc Martens
2013 C conf
Context-aware Recommendations through Activity Recognition.
WEBIST
Toon De Pessemier, Simon Dooms, Kris Vanhecke, Bart Matté, Ewout Meyns, Luc Martens
2013 — conf
Modeling subjective quality evaluations for mobile video watching in a living lab context.
BMSB
Toon De Pessemier, Luc Martens, Wout Joseph
2013 J jnl
Quantifying the Influence of Rebuffering Interruptions on the User's Quality of Experience During Mobile Video Watching.
IEEE Trans. Broadcast.
Toon De Pessemier, Katrien De Moor, Wout Joseph, Lieven De Marez, Luc Martens
2013 — conf
Social Recommendations for Events.
RSWeb@RecSys
Toon De Pessemier, Jeroen Minnaert, Kris Vanhecke, Simon Dooms, Luc Martens
2012 C conf
A Mobile Conversation Assistant to Enhance Communications for Hearing-impaired Children.
WEBIST
Toon De Pessemier, Laurens Van Acker, Emilie Van Dijck, Karin Slegers, Wout Joseph, Luc Martens
2012 J jnl
Collaborative recommendations with content-based filters for cultural activities via a scalable event distribution platform.
Multim. Tools Appl.
Toon De Pessemier, Sam Coppens, Kristof Geebelen, Chris Vleugels, Stijn Bannier, Erik Mannens, Kris Vanhecke, Luc Martens
2012 A conf
Design and evaluation of a group recommender system.
RecSys
Toon De Pessemier, Simon Dooms, Luc Martens
2012 J jnl
Investigating the influence of QoS on personal evaluation behaviour in a mobile context.
Multim. Tools Appl.
Toon De Pessemier, Katrien De Moor, István Ketykó, Wout Joseph, Lieven De Marez, Luc Martens
2012 J jnl
Quantifying Subjective Quality Evaluations for Mobile Video Watching in a Semi-Living Lab Context.
IEEE Trans. Broadcast.
Toon De Pessemier, Katrien De Moor, Wout Joseph, Lieven De Marez, Luc Martens
2012 J jnl
Unifying and targeting cultural activities via events modelling and profiling.
Multim. Tools Appl.
Sam Coppens, Erik Mannens, Toon De Pessemier, Kristof Geebelen, Hendrik Dacquin, Davy Van Deursen, Rik Van de Walle
2011 — conf
A File-Based Approach for Recommender Systems in High-Performance Computing Environments.
DEXA Workshops
Simon Dooms, Toon De Pessemier, Luc Martens
2011 C conf
An Event Distribution Platform for Recommending Cultural Activities.
WEBIST
Toon De Pessemier, Sam Coppens, Erik Mannens, Simon Dooms, Luc Martens, Kristof Geebelen
2011 C conf
An Online Evaluation of Explicit Feedback Mechanisms for Recommender Systems.
WEBIST
Simon Dooms, Toon De Pessemier, Luc Martens
2011 C conf
Content-based Recommendation Algorithms on the Hadoop MapReduce Framework.
WEBIST
Toon De Pessemier, Kris Vanhecke, Simon Dooms, Luc Martens
2011 B conf
Exploring the acceptability of the audiovisual quality for a mobile video session based on objectively measured parameters.
QoMEX
Toon De Pessemier, Katrien De Moor, Adrian Juan Verdejo, Davy Van Deursen, Wout Joseph, Lieven De Marez, Luc Martens, Rik Van de Walle
2011 J jnl
Users' (Dis)satisfaction with the personalTV application: Combining objective and subjective data.
Comput. Entertain.
Katrien De Moor, Toon De Pessemier, Peter Mechant, Cédric Courtois, Adrian Juan Verdejo, Lieven De Marez, Luc Martens
2010 — conf
Automatic news recommendations via profiling.
AIEMPro @ ACM Multimedia
Erik Mannens, Sam Coppens, Toon De Pessemier, Hendrik Dacquin, Davy Van Deursen, Rik Van de Walle
2010 — conf
Evaluating a recommendation application for online video content: an interdisciplinary study.
EuroITV
Katrien De Moor, Toon De Pessemier, Peter Mechant, Cédric Courtois, Adrian Juan Verdejo, Lieven De Marez, Luc Martens
2010 — conf
Extending User Profiles in Collaborative Filtering Algorithms to Alleviate the Sparsity Problem.
WEBIST (Selected Papers)
Toon De Pessemier, Kris Vanhecke, Simon Dooms, Tom Deryckere, Luc Martens
2010 — conf
Probability-based Extended Profile Filtering - An Advanced Collaborative Filtering Algorithm for User-generated Content.
WEBIST (1)
Toon De Pessemier, Kris Vanhecke, Simon Dooms, Tom Deryckere, Luc Martens
2010 — conf
QoE estimation of a location-based mobile game using on-body sensors and QoS-related data.
Wireless Days
Adrian Juan Verdejo, Katrien De Moor, István Ketykó, Karen Torben Nielsen, Jeroen Vanattenhoven, Toon De Pessemier, Wout Joseph, Luc Martens, Lieven De Marez
2010 A conf
Time dependency of data quality for collaborative filtering algorithms.
RecSys
Toon De Pessemier, Simon Dooms, Tom Deryckere, Luc Martens
2009 — conf
Context aware recommendations for user-generated content on a social network site.
EuroITV
Toon De Pessemier, Tom Deryckere, Luc Martens
2009 — conf
Unifying and targeting cultural activities via events modelling and profiling.
EIMM@MM
Erik Mannens, Sam Coppens, Toon De Pessemier, Kristof Geebelen, Hendrik Dacquin, Rik Van de Walle
2008 J jnl
Proposed architecture and algorithm for personalized advertising on iDTV and mobile devices.
IEEE Trans. Consumer Electron.
Toon De Pessemier, Tom Deryckere, Kris Vanhecke, Luc Martens