Tom Brijs

35 papers A* 2B 1Misc 2Journal 17Unranked 11
YearRankTypeTitle / Venue / Authors
2025 — conf
AI-Powered Service-Based ADAS Systems: A Preliminary Systematic Literature Review.
ICECET
Duc Le Minh, Van Dai Pham, Abdullateef Oluwagbemiga Balogun, Tom Brijs, Geert Wets, Thi M. D. Tran
2023 J jnl
Examination of the Effect of Task Complexity and Coping Capacity on Driving Risk: A Cross-Country and Transportation Mode Comparative Study.
Sensors
Stella Roussou, Thodoris Garefalakis, Eva Michelaraki, Christos Katrakazas, Muhammad Adnan, Muhammad Wisal Khattak, Tom Brijs, George Yannis
2022 — conf
Experiences with licensing by autistic drivers: An exploratory study.
ANT/EDI40
Hélène Dirix, Kris Brijs, Eddy Huysmans, An Neven, Tom Brijs, Ellen M. M. Jongen, Wael K. M. Alhajyaseen, Geert Wets, Veerle Ross
2022 J jnl
Improved Traffic Flow Efficiency During Yellow Interval at Signalized Intersections Using a Smart Countdown System.
IEEE Trans. Intell. Transp. Syst.
Qinaat Hussain, Wael K. M. Alhajyaseen, Kris Brijs, Ali Pirdavani, Tom Brijs
2021 — conf
A big data-as-a-service architecture for naturalistic driving studies.
MT-ITS
Md Rakibul Alam, Christelle Al Haddad, Constantinos Antoniou, Carlos Carreiras, Yves Vanrompay, Tom Brijs
2021 — conf
Risk scenario designs for driving simulator experiments.
MT-ITS
Roja Ezzati Amini, Eva Michelaraki, Christos Katrakazas, Christelle Al Haddad, Bart De Vos, Ariane Cuenen, George Yannis, Tom Brijs, Constantinos Antoniou
2021 — conf
The i-DREAMS intervention strategies to reduce driver fatigue and sleepiness for different transport modes.
MT-ITS
Fran Pilkington-Cheney, Amir Pooyan Afghari, Ashleigh Filtness, Eleonora Papadimitriou, André Lourenço, Tom Brijs
2020 — conf
Dynamic travel information strategies in advance traveler information systems and their effect on route choices along highways.
ANT/EDI40
Nora Reinolsmann, Wael K. M. Alhajyaseen, Tom Brijs, Ali Pirdavani, Veerle Ross, Qinaat Hussain, Kris Brijs
2019 Misc conf
Assessing Fitness to Drive among Older Adults using Random Forest.
ISKE
Onaira Zahoor, Yongjun Shen, Muhammad Usama, Qiong Bao, Amir Atlas, Tom Brijs
2015 J jnl
Bootstrapping DEA Scores for Road Safety Strategic Analysis in Brazil.
Int. J. Comput. Intell. Syst.
Jorge Tiago Bastos, Yongjun Shen, Elke Hermans, Tom Brijs, Geert Wets, Antonio Clóvis Pinto Ferraz
2011 J jnl
70 km/h Speed Limits on Former 90 km/h Roads: Effects of Sign Repetition and Distraction on Speed.
Hum. Factors
Ellen M. M. Jongen, Kris Brijs, Kristof Mollu, Tom Brijs, Geert Wets
2011 J jnl
A generalized multiple layer data envelopment analysis model for hierarchical structure assessment: A case study in road safety performance evaluation.
Expert Syst. Appl.
Yongjun Shen, Elke Hermans, Da Ruan, Geert Wets, Tom Brijs, Koen Vanhoof
2011 J jnl
Modeling qualitative data in data envelopment analysis for composite indicators.
Int. J. Syst. Assur. Eng. Manag.
Yongjun Shen, Da Ruan, Elke Hermans, Tom Brijs, Geert Wets, Koen Vanhoof
2010 J jnl
A hybrid system of neural networks and rough sets for road safety performance indicators.
Soft Comput.
Yongjun Shen, Tianrui Li, Elke Hermans, Da Ruan, Geert Wets, Koen Vanhoof, Tom Brijs
2010 J jnl
Road safety risk evaluation by means of ordered weighted averaging operators and expert knowledge.
Knowl. Based Syst.
Elke Hermans, Da Ruan, Tom Brijs, Geert Wets, Koen Vanhoof
2009 J jnl
Identifying Hazardous Road Locations: Hot Spots versus Hot Zones.
Trans. Comput. Sci.
Elke Moons, Tom Brijs, Geert Wets
2008 Misc conf
Development of a composite road safety performance indicator based on neural networks.
ISKE
Yongjun Shen, Elke Hermans, Da Ruan, Geert Wets, Koen Vanhoof, Tom Brijs
2008 J jnl
Discovering during-temporal patterns (DTPs) in large temporal databases.
Expert Syst. Appl.
Li Zhang, Guoqing Chen, Tom Brijs, Xing Zhang
2008 — conf
Hot Spot Analysis: Improving a Local Indicator of Spatial Association for Application in Traffic Safety.
ICCSA (1)
Elke Moons, Tom Brijs, Geert Wets
2007 — conf
The Importance of Aggregation Operator Characteristics in Marketing Research.
ICEIS (2)
Kris Brijs, Benoît Depaire, Koen Vanhoof, Tom Brijs, Geert Wets
2006 J jnl
Evaluating the performance of cost-based discretization versus entropy- and error-based discretization.
Comput. Oper. Res.
Davy Janssens, Tom Brijs, Koen Vanhoof, Geert Wets
2006 J jnl
Integrating Bayesian networks and decision trees in a sequential rule-based transportation model.
Eur. J. Oper. Res.
Davy Janssens, Geert Wets, Tom Brijs, Koen Vanhoof, Theo A. Arentze, Harry J. P. Timmermans
2006 B conf
Using Fuzzy Set Theory to Assess Country-of-Origin Effects on the Formation of Product Attitude.
MDAI
Kris Brijs, Koen Vanhoof, Tom Brijs, Dimitris Karlis
2005 J jnl
Adapting the CBA algorithm by means of intensity of implication.
Inf. Sci.
Davy Janssens, Geert Wets, Tom Brijs, Koen Vanhoof
2005 — ch.
Penalty-Reward Analysis with Uninorms: A Study of Customer (Dis)Satisfaction.
Intelligent Data Mining
Koen Vanhoof, Pieter Pauwels, József Dombi, Tom Brijs, Geert Wets
2005 J jnl
The development of an adapted Markov chain modelling heuristic and simulation framework in the context of transportation research.
Expert Syst. Appl.
Davy Janssens, Geert Wets, Tom Brijs, Koen Vanhoof
2005 — ch.
Using an Adapted Classification Based on Associations Algorithm in an Activity-Based Transportation System.
Intelligent Data Mining
Davy Janssens, Geert Wets, Tom Brijs, Koen Vanhoof
2004 J jnl
Building an Association Rules Framework to Improve Product Assortment Decisions.
Data Min. Knowl. Discov.
Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert Wets
2001 J jnl
A Data Mining Framework for Optimal Product Selection in Retail Supermarket Data: The Generalized PROFSET Model
CoRR
Tom Brijs, Bart Goethals, Gilbert Swinnen, Koen Vanhoof, Geert Wets
2000 — conf
A Data Mining Framework for Optimal Product Selection in Convenience Stores.
ECIS
Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert Wets
2000 A* conf
A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model.
KDD
Tom Brijs, Bart Goethals, Gilbert Swinnen, Koen Vanhoof, Geert Wets
2000 — conf
Comparing Complete and Partial Classification for Identifying Latently Dissatisfied Customers.
ECML
Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert Wets
2000 J jnl
Reducing redundancy in characteristic rule discovery by using integer programming techniques.
Intell. Data Anal.
Tom Brijs, Koen Vanhoof, Geert Wets
1999 A* conf
Using Association Rules for Product Assortment Decisions: A Case Study.
KDD
Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert Wets
1998 — conf
Cost Sensitive Discretization of Numeric Attributes.
PKDD
Tom Brijs, Koen Vanhoof