Nadia Boukhelifa | MIA Paris-Saclay

I am a research scientist at INRAE, Université Paris Saclay. I am a member of the EKINOCS team at UMR MIA-Paris-Saclay, AgroParisTech. Previously I worked at Télécom Paris and Inria. I obtained my PhD in information visualisation from the University of Kent (UK). I have experience in user-centered design through a variety of projects involving different stakeholders and user groups (VISTA, REACTIVITY, CSDL, CENDARI).

Research Interests

Information visualization
Visual analytics and interactive machine learning
Uncertainty visualization
User-centered design

Publications

Contact

nadia.boukhelifa(AT)inrae.fr

Publications HAL

Total : 65 publications

2025

Article dans une revue

What is the best way to communicate the uncertainty of a digital soil mapping product? Some lessons from an end-users survey
Léa Courteille, Léa Tardieu, Nadia Boukhelifa, Evelyne Lutton, Philippe Lagacherie
Uncertainty in digital soil mapping products is generally quantified and presented alongside the predictions in the form of a second raster map. Howev...
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Comparison of Machine Learning-Enhanced Dynamic Hybrid Models for a Nanobody Scorpion Antivenom Production with Escherichia Coli
Irene Martínez-Menéndez, Juan Acosta-Pavas, David Camilo Corrales, Susana María Alonso Villela, Balkiss Bouhaouala-Zahar, Georgios Georgakilas, Konstantinos Mexis, Stefanos Xenios, Theodore Dalamagas, Antonis Kokosis, Michael O’donohue, Luc Fillaudeau, Nadia Boukhelifa, Alberto Tonda, César Arturo Aceves-Lara
This study compares several hybrid dynamic models built with offline data to optimize nanobody production in Escherichia coli. These models combine th...
hal-05216714
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Communication dans un congrès

Bridging Modeling and Domain Expertise Through Visualization: A Case Study on Bread-Making with Bayesian Networks
Omi Johnson, Melanie Munch, Kamal Kansou, Cedric Baudrit, Anastasia Bezerianos, Nadia Boukhelifa
Decision support tools based on Bayesian Networks (BN) are capableof simply representing complex relationships within data.We use a BN network to mode...
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Explaining Complex ML Models to Domain Experts Using LLM & Visualization: An Exploration in the French Breadmaking Industry
Briggs Twitchell, George Katsirelos, Anastasia Bezerianos, Nadia Boukhelifa
Modeling a complex system from data can aid understanding and decision-making. Bayesian networks are one such method that, when accurately constructed...
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Exploring a Machine Learning Model with Interactive Visualization and a Chat Assistant for Bread-Making Insights
Omi Johnson, Briggs Twitchell, Mélanie Munch, Kamal Kansou, C Baudrit, Georgios Katsirelos, Anastasia Bezerianos, Nadia Boukhelifa

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2024

Article dans une revue

Using spatial aggregation of soil multifunctionality maps to support uncertainty‐aware planning decisions
Léa Courteille, Philippe Lagacherie, Nadia Boukhelifa, Evelyne Lutton, Léa Tardieu
To ensure soil preservation, it is essential to incorporate the soil's ability to provide ecosystem services into the spatial planning process. For we...
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Communication dans un congrès

Comparison of Machine Learning-enhanced dynamic hybrid models for a nanobody scorpion antivenom production with Escherichia coli
Irene Martínez Menéndez, Juan Camilo Acosta-Pavas, David Camilo Corrales Munoz, Susana María Alonso Villela, Balkiss Bouhaouala-Zahar, Georgios Georgakilas, Konstantinos Mexis, Stefanos Xenios, Theodore Dalamagas, Antonis Kokosis, Michael J O'Donohue, Luc Fillaudeau, Nadia Boukhelifa, Alberto Tonda, César Arturo Aceves-Lara
This study compares several hybrid dynamic models built with offline data to optimize a nanobody production in Escherichia coli. These models combine ...
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Supporting Interdisciplinary Research with Cards-based Workshops - A Case Study on Participatory Planning for Mountain Pastoralism
Thibault Raffaillac, Nadia Boukhelifa, Emilie Crouzat, Fabien Stark, Jean-Pierre Müller, Jacques Lasseur
Profound transformations are currently impacting the intricate relationships between human pastoral activities and Alpine mountain ecosystems. In this...
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2023

Pré-publication, Document de travail

Machine learning for agri-food processes: 4 learning from data, human knowledge and interactions| Book chapter Part of ISBN: 9780323984836 Current developments in biotechnology and bioengineering 2022
Nathalie Mejean-Perrot, Alberto Tonda, Nadia Boukhelifa, Ilaria Brunetti, Anastasia Bezerianos, Evelyne Lutton
This chapter presents three examples of data-based machine learning on time series. The common denominator of these case studies is the sparseness of ...
hal-04298862 | ⬇️ Télécharger
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Article dans une revue

Visualization and Decision Making Design Under Uncertainty
Nadia Boukhelifa, Chris R Johnson, Kristin Potter
Uncertainty is an important aspect to data understanding. Without awareness of the variability, error, or reliability of a dataset, the ability to mak...
hal-04302768 | ⬇️ Télécharger
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Poster de conférence

Visualizations to support trade-off comparisons
Mehdi Chakhchoukh, Nadia Boukhelifa, Anastasia Bezerianos
In agronomy, domain experts use complex simulation models to understand real-world phenomena and plan biological studies. They use these models to gen...
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Communication dans un congrès

Développement d’une interface de simulation multi-agents pour la gestion concertée des territoires pastoraux de moyenne montagne
Thibault Raffaillac, Nadia Boukhelifa, Emilie Crouzat, Fabien Stark, Jean-Pierre Müller, Jacques Lasseur
Le pastoralisme alpin de moyenne montagne dépend aujourd’hui de la coordination de nombreux acteurs locaux aux intérêts distincts. Dans ce contex...
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Rapport

Visualization and Decision Making Design Under Uncertainty
Nadia Boukhelifa, Christopher R Johnson, Kristi Potter
This report documents the program and the outcomes of Dagstuhl Seminar 22331 "Visualization and Decision Making Design Under Uncertainty". The seminar...
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2022

Article dans une revue

Understanding How In-Visualization Provenance Can Support Trade-off Analysis
Mehdi Chakhchoukh, Nadia Boukhelifa, Anastasia Bezerianos
In domains such as agronomy or manufacturing, experts need to consider trade-offs when making decisions that involve several, often competing, objecti...
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Chapitre d'ouvrage

Machine learning for agri-food processes: learning from data, human knowledge and interactions
Nathalie Mejean Perrot, Alberto Tonda, Nadia Boukhelifa, Ilaria Brunetti, Anastasia Bezerianos, Evelyne Lutton
This chapter presents three examples of data-based machine learning on time series. The common denominator of these case studies is the sparseness of ...
hal-04230255 | ⬇️ Télécharger
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2021

Communication dans un congrès

A Case Study of Using Analytic Provenance to Reconstruct User Trust in a Guided Visual Analytics System
Nadia Boukhelifa, Evelyne Lutton, Anastasia Bezerianos
In this paper, we demonstrate how analytic provenance can be exploited to re-construct user trust in a guided Visual Analytics (VA) system, and sugges...
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2020

Article dans une revue

Challenges in Evaluating Interactive Visual Machine Learning Systems
Nadia Boukhelifa, Anastasia Bezerianos, Remco Chang, Christopher Collins, Steven Drucker, Alex Endert, Jessica Hullman, Chris North, Michael Sedlmair
In interactive visual machine learning (IVML), humans and machine learning algorithms collaborate to achieve tasks mediated by interactive visual inte...
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Communication dans un congrès

How Domain Experts Structure Their Exploratory Data Analysis: Towards a Machine-Learned Storyline
Antoine Barczewski, Anastasia Bezerianos, Nadia Boukhelifa
Exploratory data analysis is an open-ended iterative process, where the goal is to discover new insights. Much of the work to characterise this explor...
hal-02557388 | ⬇️ Télécharger
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2019

Rapport

Tendances de la visualisation en France
Samuel Huron, Nadia Boukhelifa, Thomas Baudel, Caroline Goulard, Petra Isenberg, Julien Tierny, Romain Vuillemot
La communauté de recherche dans le domaine de la visualisation est vivace et en pleine extension. On a assisté à la multiplication de conférences ...
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Article dans une revue

Understanding the Role of Alternatives in Data Analysis Practices
Jiali Liu, Nadia Boukhelifa, James Eagan
Data workers are people who perform data analysis activities as a part of their daily work but do not formally identify as data scientists. They come ...
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Multi-Criteria Reverse Engineering for Food: Genesis and Ongoing Advances
Rallou Thomopoulos, Cédric Baudrit, Nadia Boukhelifa, Rachel Boutrou, Patrice Buche, Elisabeth Guichard, Valérie Guillard, Evelyne Lutton, Pierre-Sylvain Mirade, Amadou Ndiaye, Nathalie Perrot, Franck Taillandier, Thierry Thomas-Danguin, Alberto Tonda
Multi-criteria reverse engineering (MRE) has arisen from the cross-fertilization of advances in mathematics and shifts in social demand. MRE, thus, ma...
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Communication dans un congrès

Modélisation interactive en agro-alimentaire: l’outilLiDeoGraM
Evelyne Lutton, Nadia Boukhelifa, Alberto Tonda, Thomas Chabin, Nathalie Méjean, Jean-Daniel Fekete
Modelling complex agrifood processes like for instance cheese ecosystems is challenging due to the complex multi-scale nature of interactions among an...
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Understanding alternatives in data analysis activities
Jiali Liu, Nadia Boukhelifa, James Eagan
Data workers are non-professional data scientists who engage in data analysis activities as part of their daily work. In this position paper, we share...
hal-02192510 | ⬇️ Télécharger
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An Exploratory Study on Visual Exploration of Model Simulations by Multiple Types of Experts
Nadia Boukhelifa, Anastasia Bezerianos, Ioan Cristian Trelea, Nathalie Perrot, Evelyne Lutton
Experts in different domains rely increasingly on simulation models of complex processes to reach insights, make decisions, and plan future projects. ...
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2018

Communication dans un congrès

Making Sense of Data Workers' Sense Making Practices
Jiali Liu, Nadia Boukhelifa, James R Eagan
Data workers are non-professional data scientists who engage in data analysis activities as part of their daily work. In this position paper, we draw ...
hal-01826714 | ⬇️ Télécharger
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Human in the loop for modelling food and biological systems: a novel perspective coupling artificial intelligence and life science
Nathalie Perrot, Nadia Boukhelifa, Alberto Tonda, Thomas Chabin, Marc Barnabe, Dominique Swennen, Alice Roche, Thierry Thomas-Danguin, Evelyne Lutton
Since centuries, agriculture, food and biological systems are strongly linked to human expertise, albeit such knowledge has been capitalized and share...
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A semi-automatic modelling approach for the production and freeze drying of lactic acid bacteria
Thomas Chabin, Marc Barnabe, Alberto Tonda, Nadia Boukhelifa, Fernanda Fonseca, Eric Dugat-Bony, Helene Velly, Evelyne Lutton, Nathalie Perrot
The production system of freeze-dried lactic acid bacteria involves several processes, but its impact on bacteria resistance is still not well underst...
hal-02266291
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LIDeOGraM: an interactive evolutionary modelling tool
Thomas Chabin, Marc Barnabe, Nadia Boukhelifa, Fernanda Fonseca, Alberto Tonda, Hélène Velly, Benjamin Lemaitre, Nathalie Perrot, Evelyne Lutton
Building complex models from available data is a challenge in many domains, and in particular in food science. Numerical data are often not enough str...
hal-02736924
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Article dans une revue

The CENDARI Infrastructure
Nadia Boukhelifa, Mike Bryant, Nataša Bulatović, Jean-Daniel Fekete, Milica Knežević, Jörg Lehmann, David Stuart, Carsten Thiel
The CENDARI infrastructure is a research-supporting platform designed to provide tools for transnational historical research, focusing on two topics: ...
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Guest editorial: Special issue on genetic programming, evolutionary computation and visualization
Nadia Boukhelifa, Evelyne Lutton

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Chapitre d'ouvrage

Interactive Machine Learning for Applications in Food Science and Technology
Alberto Tonda, Nadia Boukhelifa, Thomas Chabin, Marc Barnabe, Benoît Génot, Evelyne Lutton, Nathalie Perrot
The apparent simplicity of food processes often hides complex systems,where physical, chemical and living organisms’ processes co-exist and interact...
hal-02482108
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Evaluation of interactive machine learning systems
Nadia Boukhelifa, Anastasia Bezerianos, Evelyne Lutton
The evaluation of interactive machine learning systems remains a difficult task. These systems learn from and adapt to the human, but at the same time...
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2017

Communication dans un congrès

Interactive evolutionary modelling of living complex food systems
Thomas Chabin, Marc Barnabe, Nadia Boukhelifa, Fernanda Fonseca, Alberto Tonda, Helene Velly, Nathalie Perrot, Evelyne Lutton
Modelling the production and stabilisation process of lactic acid starters has several practical applications, ranging from assessing the e!cacy of ne...
hal-01607872 | ⬇️ Télécharger
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How Data Workers Cope with Uncertainty
Nadia Boukhelifa, Marc-Emmanuel Perrin, Samuel Huron, James Eagan
Uncertainty plays an important and complex role in data analysis , where the goal is to find pertinent patterns, build robust models, and support deci...
hal-01472865 | ⬇️ Télécharger
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LIDeOGraM : an interactive evolutionary modelling tool
Thomas Chabin, Marc Barnabe, Nadia Boukhelifa, Fernanda Fonseca, Alberto Tonda, Helene Velly, Benjamin Lemaitre, Nathalie Perrot, Evelyne Lutton
Building complex models from available data is a challenge in many domains, and in particular in food science. Numerical data are often not enough str...
hal-01607681 | ⬇️ Télécharger
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Interactive knowledge integration in modelling for food sustainability : challenges and prospects
Nadia Boukhelifa, Alberto Tonda, Ioan-Cristian Trelea, Nathalie Perrot, Evelyne Lutton
The availability of reliable and trustworthy models for agrifood processes is crucial to evaluate and predict the environmental impact of the process ...
hal-01604947 | ⬇️ Télécharger
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Article dans une revue

Evolutionary Visual Exploration: Evaluation of an IEC Framework for Guided Visual Search
Nadia Boukhelifa, Anastasia Bezerianos, Waldo Cancino, Evelyne Lutton
We evaluate and analyse a framework for Evolutionary Visual Exploration (EVE) that guides users in exploring large search spaces. EVE uses an interact...
hal-01218959 | ⬇️ Télécharger
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User-centered design practices in digital humanities - experiences from DARIAH and CENDARI
Klaus Thoden, Juliane Stiller, Natasa Bulatovic, Hanna-Lena Meiners, Nadia Boukhelifa
User experience and usability (UX) form a key part of research and best practice for product and software development. In this paper, the topic is add...
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2016

Communication dans un congrès

Eliciting Strategies and Tasks in Uncertainty-Aware Data Analytics
Nadia Boukhelifa, Marc-Emmanuel Perrin, Samuel Hurron, James Eagan
Uncertainty plays an important and complex role in data analysis and affects many domains. To understand how domain experts analyse data under uncerta...
hal-01404022 | ⬇️ Télécharger
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Eliciting strategies and tasks in uncertainty-aware data analytics
Nadia Boukhelifa, Marc-Emmanuel Perrin, Samuel Hurron, James Eagan
Uncertainty plays an important and complex role in data analysis and affects many domains. To understand how domain experts analyse data under uncerta...
hal-01602335 | ⬇️ Télécharger
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Food science : human factor Iisues
Evelyne Lutton, Alberto Tonda, Nadia Boukhelifa, Nathalie Perrot
absent...
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Complex Systems in Food Science: Human Factor Issues
Evelyne Lutton, Alberto Tonda, Nadia Boukhelifa, Nathalie Perrot

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Research prospects in the design and evaluation of interactive evolutionary systems for art and science
Nadia Boukhelifa, Anastasia Bezerianos, Alberto Tonda, Evelyne Lutton
We report on our experience in designing and evaluating seven applications from seven different domains using an interactive evolutionary approach. We...
hal-01532589
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Article dans une revue

Comparison of three-dimensional planning-assisted and conventional acetabular cup positioning in total hip arthroplasty
El Hadi Sariali, Nadia Boukhelifa, Yves Catonne, Hugues Pascal Moussellard
Background: Malpositioning of the acetabular cup during total hip arthroplasty increases the risk of dislocation, edge-loading, squeaking, early wear,...
hal-01607252
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2015

Communication dans un congrès

A Mixed Approach for the Evaluation of a Guided Exploratory Visualization System
Nadia Boukhelifa, Anastasia Bezerianos, Evelyne Lutton
We summarise and reflect upon our experience in evaluating a guided exploratory visualization system. Our system guides users in their exploration of ...
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Supporting Historical Research Through User-Centered Visual Analytics
Nadia Boukhelifa, Emmanouil Giannisakis, Evanthia Dimara, Wesley Willett, Jean-Daniel Fekete
In this paper we describe the development and evaluation of a visual analytics tool to support historical research. Historians continuously gather dat...
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2013

Communication dans un congrès

Evolutionary Visual Exploration: Experimental Analysis of Algorithm Behaviour
Waldo Gonzalo Cancino Ticona, Nadia Boukhelifa, Anastasia Bezerianos, Evelyne Lutton
Recent publications in the domains of interactive evolution- ary computation and data visualisation consider an emerg- ing topic coined Evolutionary V...
hal-00818641 | ⬇️ Télécharger
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Article dans une revue

Evolutionary Visual Exploration: Evaluation With Expert Users
Nadia Boukhelifa, Waldo Gonzalo Cancino Ticona, Anastasia Bezerianos, Evelyne Lutton
We present an Evolutionary Visual Exploration (EVE) system that combines visual analytics with stochastic optimisation to aid the exploration of multi...
hal-00805234 | ⬇️ Télécharger
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Chapitre d'ouvrage

Utility data integration and knowledge representation in the UK: the VISTA project
Anthony Beck, Nadia Boukhelifa, Gaihua Fu, Simon Hickinbotham, Jo Parker, Bennett Brandon, Anthony Cohn, David Duke, John Stell
Utility data integration and knowledge representation in the UK: the VISTA project...
hal-01601319
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2012

Article dans une revue

Evaluating Sketchiness as a Visual Variable for the Depiction of Qualitative Uncertainty
Nadia Boukhelifa, Anastasia Bezerianos, Tobias Isenberg, Jean-Daniel Fekete
We report on results of a series of user studies on the perception of four visual variables that are commonly used in the literature to depict uncerta...
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Sketchy Rendering for Information Visualization
Jo Wood, Petra Isenberg, Tobias Isenberg, Jason Dykes, Nadia Boukhelifa, Aidan Slingsby
We present and evaluate a framework for constructing sketchy style information visualizations that mimic data graphics drawn by hand. We provide an al...
hal-00720824 | ⬇️ Télécharger
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Communication dans un congrès

Multiform glyph based web search result visualization
J. Roberts, Nadia Boukhelifa, P. Rodgers
Searching for information on the web is hard; the user may not know what they are looking for, they may refine their search from information gathered ...
hal-01603331 | ⬇️ Télécharger
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EvoGraphDice: Interactive Evolution for Visual Analytics
Waldo Gonzalo Cancino Ticona, Nadia Boukhelifa, Evelyne Lutton
Visualization of large and complex datasets is a research challenge, especially in frameworks like industrial design, decision making and visual analy...
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Rapport

Evaluating Sketchy Lines for the Visualization of Qualitative Uncertainty
Nadia Boukhelifa, Anastasia Bezerianos, Tobias Isenberg, Jean-Daniel Fekete
We report on results of a series of user studies on the perception of visual variables that are commonly used in the literature to depict uncertainty....
hal-00682965 | ⬇️ Télécharger
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2010

Communication dans un congrès

Real-time Aggregation of Wikipedia Data for Visual Analytics
Nadia Boukhelifa, Fanny Chevalier, Jean-Daniel Fekete
Wikipedia has been built to gather encyclopedic knowledge using a collaborative social process that has proved its effectiveness. However, the workloa...
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2009

Communication dans un congrès

Seeing the unseen: delivering integrated underground utility data in the uk
Anthony Beck, Anthony Cohn, Jo Parker, Nadia Boukhelifa, Gaihua Fu
In earlier work we proposed a framework to integrate heterogeneous geospatial utility data in the UK. This paper provides an update on the techniques ...
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Uncertainty visualization: why might it fail?
Nadia Boukhelifa, David John Duke
There is a gulf between the rhetoric in visualization about the importance of uncertainty, and the practice of visualization in which uncertainty is r...
hal-01601437
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Visualizing heterogeneous utility data : a case for aesthetic design
Nadia Boukhelifa, David Duke
A map visually enfolds selected messages to a target audience. To achieve this effectively, a clear understanding of ‘the message, the user and the ...
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2008

Communication dans un congrès

The aesthetics of the underworld
Nadia Boukhelifa, David Duke
Although the development of computational aesthetics has largely concentrated on 3D geometry and illustrative rendering, aesthetics are equally an imp...
hal-01601424 | ⬇️ Télécharger
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2005

Communication dans un congrès

Dynamic coordinated email visualization
Simone Frau, Jonathan Roberts, Nadia Boukhelifa
Many computer users receive hundreds (if not thousands) of emails per week; users often keep these emails and have many years of personal emails archi...
hal-01601421 | ⬇️ Télécharger
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2004

Article dans une revue

Visual Depictions of Search Results: using glyphs and coordinated multiple-views
Nadia Boukhelifa, Jonathan Roberts, Peter Rodgers
Visual Depictions of Search Results: using glyphs and coordinated multiple-views...
hal-01604510 | ⬇️ Télécharger
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2003

Communication dans un congrès

A coordination model for explor atory multi-view visualization
Nadia Boukhelifa, Peter Rodgers, Jonathan Roberts
In this paper, we present a coordination model for exploratory multi-view visualization. We base our work on current research in exploratory visualiza...
hal-01604123 | ⬇️ Télécharger
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Towards coordination-intensive visualization software
Nadia Boukhelifa, Jonathan Roberts, Peter Rodgers
Towards coordination-intensive visualization software. PREP 2003 - Postgraduate Research Conference in Electronics, Photonics, Communications and Soft...
hal-01601419 | ⬇️ Télécharger
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Article dans une revue

A model and software system for coordinated and multiple views in exploratory visualization
Nadia Boukhelifa, Peter J. Rodgers
This paper describes a model for expressing coordination in multiple view visualization systems. We present the model and describe a prototype impleme...
hal-01603278
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2001

Communication dans un congrès

The uncertain reality of underground assets
Nadia Boukhelifa, David Duke
Visualization may be a potent looking-glass for peering into both physical and abstract worlds, but our view is always distorted by inaccuracies in me...
hal-01607401 | ⬇️ Télécharger
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