Johan Barthélemy
Biographic Data
| ID | 6536665 |
|---|---|
| NAME | Johan Barthélemy |
| GIVEN NAMES | Johan |
| FAMILY NAME | Barthélemy |
| SIGNATURE | BARTHELEMY J |
| AFFILIATIONS | University of Wollongong |
| ORCID | 0000-0002-7800-5309 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Defensive Dual Masking for Robust Adversarial Defense
Adversarial defenses for textual data have gained considerable attention in recent years due to the increasing vulnerability of Natural Language Processing (NLP) models to adversarial attacks. These attacks exploit subtle perturbations in input text to deceive models, posing significant challenges to model robustness and reliability. This article introduces Defensive Dual Masking (DDM), a simple yet effective algorithm that uses two unique maskin…
How computer vision can facilitate flood management
Towards the Right Ordering of the Sequence of Models for the Evolution of a Population Using Agent-Based Simulation
Agent based modelling is nowadays widely used in transport and the social science. Forecasting population evolution and analysing the impact of hypothetical policies are o en the main goal of these developments. Such models are based on sub-models defining the interactions of agents either with other agents or with their environment. Sometimes, several models represent phenomena arising at the same time in the real life. Hence, the question of th…
A Heuristic Combinatorial Optimisation Approach to Synthesising a Population for Agent Based Modelling Purposes
This paper presents an algorithm that follows the sample-free approach to synthesise a population for agent based modelling purposes. While most existing algorithms rely on a sample dataset, the fact that this algorithm does not rely on one makes it a novel contribution. It has potentially widespread application for situations in which such survey data is not available. In contrast to existing sample-free algorithms, the population synthesis pres…
A Stochastic and Flexible Activity Based Model for Large Population. Application to Belgium
The VirtualBelgium project aims at developing an understanding of the evolution of the Belgian population using agent-based simulations and considering various aspects of this evolution such as demographics, residential choices, activity patterns, mobility, etc. This simulation is based on a validated synthetic population consisting of approximately 10,000,000 individuals and 4,350,000 households located in the 589 municipalities of Belgium. The …
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A Stochastic and Flexible Activity Based Model for Large Population. Application to Belgium
The VirtualBelgium project aims at developing an understanding of the evolution of the Belgian population using agent-based simulations and considering various aspects of this evolution such as demographics, residential choices, activity patterns, mobility, etc. This simulation is based on a validated synthetic population consisting of approximately 10,000,000 individuals and 4,350,000 households located in the 589 municipalities of Belgium. The …
A Heuristic Combinatorial Optimisation Approach to Synthesising a Population for Agent Based Modelling Purposes
This paper presents an algorithm that follows the sample-free approach to synthesise a population for agent based modelling purposes. While most existing algorithms rely on a sample dataset, the fact that this algorithm does not rely on one makes it a novel contribution. It has potentially widespread application for situations in which such survey data is not available. In contrast to existing sample-free algorithms, the population synthesis pres…
Towards the Right Ordering of the Sequence of Models for the Evolution of a Population Using Agent-Based Simulation
Agent based modelling is nowadays widely used in transport and the social science. Forecasting population evolution and analysing the impact of hypothetical policies are o en the main goal of these developments. Such models are based on sub-models defining the interactions of agents either with other agents or with their environment. Sometimes, several models represent phenomena arising at the same time in the real life. Hence, the question of th…
How computer vision can facilitate flood management
Defensive Dual Masking for Robust Adversarial Defense
Adversarial defenses for textual data have gained considerable attention in recent years due to the increasing vulnerability of Natural Language Processing (NLP) models to adversarial attacks. These attacks exploit subtle perturbations in input text to deceive models, posing significant challenges to model robustness and reliability. This article introduces Defensive Dual Masking (DDM), a simple yet effective algorithm that uses two unique maskin…
Computer Science (3 works) · demographic modeling and climate adaptation (3 works) · Population (3 works) · Sociology (3 works) · Agent-based model (2 works) · Artificial Intelligence (2 works) · Demography (2 works) · Demography (2 works) · Insurance, Mortality, Demography, Risk Management (2 works) · Mathematics (2 works)