Understanding How In-Visualization Provenance Can Support Trade-off Analysis

Autor: Mehdi Rafik Chakhchoukh, Nadia Boukhelifa, Anastasia Bezerianos

Publikováno v: IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Visualization and Computer Graphics, 2022, ⟨10.1109/TVCG.2022.3171074⟩

International audience; In domains such as agronomy or manufacturing, experts need to consider trade-offs when making decisions that involve several, often competing, objectives. Such analysis is complex and may be conducted over long periods of time

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a4b6f83d75b29b10b920895c457d695
https://inria.hal.science/hal-03692163

List of contributors

Autor: João Antunes, Suman Bajracharya, Rengesh Balakrishnan, Lina Fernanda Ballesteros, Anastasia Bezerianos, Lionel Boillereaux, Nadia Boukhelifa, Konstantina Boura, Ilaria Brunetti, Filipa Castro, Paul Christakopoulos, Jorge Alberto Vieira Costa, Rafael S. Costa, Camila Gonzales Cruz, Sébastien Curet, Nuno Ribeiro da Silva, Júlio César de Carvalho, Rafaela de Oliveira Penha, Paulo Cesar de Souza Kirnev, Santhosh Kumar Devarai, Agapi Dima, Huma Fatima, Carina L. Gargalo, Krist V. Gernaey, Nikky Goel, Sathyanarayana N. Gummadi, Aliyeh Hasanzadeh, Maria Kanellaki, Andreas Kartakoullis, Sunil Kumar Khare, Athanasios Koutinas, Adolf Krige, Pau Cabaneros Lopez, Evelyne Lutton, Antonio Irineudo Magalhães Junior, Amir Mahboubi, Venkatesh Mandari, Sriramani Mangipudi, Walter José Martínez-Burgos, Leonidas Matsakas, Mariano Michelon, Naresh Mohan, Michele Greque de Morais, Juliana Botelho Moreira, Ariane Fátima Murawski de Mello, Rui Oliveira, Nathalie Mejean Perrot, José Pinto, Luciana Porto de Souza Vandenberghe, Jeyaprakash Rajendhran, João Ramos, Panneerselvam Ranganathan, Olivier Rouaud, Neda Rousta, Ulrika Rova, Taner Sar, Omprakash Sarkar, Manoj Kumar Shanmugam, Sara Cruz Silvério, Rajeshwari Sinha, Senthilkumar Sivaprakasam, Carlos Ricardo Soccol, Mohammad J. Taherzadeh, José António Teixeira, Alberto Tonda, Isuru A. Udugama, Dekketi G.C. Vikram Reddy, Ioannis Vyrides, Leonardo Wedderhoff Herrmann, Mark R. Wilkins

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::80b8a0bed3aa22bb2d7e317d9cd3d716
https://doi.org/10.1016/b978-0-323-91167-2.00019-8

Challenges in Evaluating Interactive Visual Machine Learning Systems

Autor: Alex Endert, Theresa-Marie Rhyne, Remco Chang, Jessica Hullman, Christopher Collins, Anastasia Bezerianos, Chris North, Nadia Boukhelifa, Steven M. Drucker, Michael Sedlmair

Publikováno v: IEEE Computer Graphics and Applications
IEEE Computer Graphics and Applications, Institute of Electrical and Electronics Engineers, 2020, 40 (6), pp.88-96. ⟨10.1109/MCG.2020.3017064⟩
IEEE Computer Graphics and Applications, 2020, 40 (6), pp.88-96. ⟨10.1109/MCG.2020.3017064⟩

International audience; In interactive visual machine learning (IVML), humans and machine learning algorithms collaborate to achieve tasks mediated by interactive visual interfaces. This human-in-the-loop approach to machine learning brings forth not

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1036ffd9aa6cac390f20c08881115fc1
https://hal.archives-ouvertes.fr/hal-03133986/document

Understanding the Role of Alternatives in Data Analysis Practices

Autor: Jiali Liu, James Eagan, Nadia Boukhelifa

Publikováno v: IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, In press, pp.1-1. ⟨10.1109/TVCG.2019.2934593⟩
IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2019, IEEE Transactions of Visualization and Computer Graphics, 26 (1), pp.66--76. ⟨10.1109/TVCG.2019.2934593⟩

International audience; 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 from various domains and often need to explore diverse sets of hypotheses an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd551d5cc576bbca07736c0853558210
https://hal.telecom-paristech.fr/hal-02182349/file/alternatives.pdf

An Exploratory Study on Visual Exploration of Model Simulations by Multiple Types of Experts

Autor: Ioan Cristian Tréléa, Evelyne Lutton, Anastasia Bezerianos, Nathalie Perrot, Nadia Boukhelifa

Publikováno v: CHI Conference on Human Factors in Computing Systems (CHI)
CHI Conference on Human Factors in Computing Systems (CHI), May 2019, Glasgow, United Kingdom. ⟨10.1145/3290605.3300874⟩
CHI 2019-The ACM CHI Conference on Human Factors in Computing Systems
CHI 2019-The ACM CHI Conference on Human Factors in Computing Systems, May 2019, Glasgow, United Kingdom. ⟨10.1145/3290605⟩
ACM SIGCHI 2019 CHI Conference on Human Factors in Computing Systems
ACM SIGCHI 2019 CHI Conference on Human Factors in Computing Systems, May 2019, Glasgow, United Kingdom. ⟨10.1145/3290605.3300874⟩
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems-CHI '19. 2019; ACM SIGCHI 2019 CHI Conference on Human Factors in Computing Systems, Glasgow, GBR, 2019-05-04-2019-05-09, 1-14

Experts in different domains rely increasingly on simulation models of complex processes to reach insights, make decisions, and plan future projects. These models are often used to study possible trade-offs, as experts try to optimise multiple confli

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5885b232fec38199be7248334955c67