Zobrazeno 1 - 10
of 135
pro vyhledávání: '"Brian Y Lim"'
Visual Explanations of Differentiable Greedy Model Predictions on the Influence Maximization Problem
Autor:
Mario Michelessa, Christophe Hurter, Brian Y. Lim, Jamie Ng Suat Ling, Bogdan Cautis, Carol Anne Hargreaves
Publikováno v:
Big Data and Cognitive Computing, Vol 7, Iss 3, p 149 (2023)
Social networks have become important objects of study in recent years. Social media marketing has, for example, greatly benefited from the vast literature developed in the past two decades. The study of social networks has taken advantage of recent
Externí odkaz:
https://doaj.org/article/2d660292843c4928bdbe8f6669195c0e
AI-driven Action Quality Assessment (AQA) of sports videos can mimic Olympic judges to help score performances as a second opinion or for training. However, these AI methods are uninterpretable and do not justify their scores, which is important for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6155aebc153ad742ecf5a29f2ad27a22
http://arxiv.org/abs/2303.09097
http://arxiv.org/abs/2303.09097
Generative AI models have shown impressive ability to produce images with text prompts, which could benefit creativity in visual art creation and self-expression. However, it is unclear how precisely the generated images express contexts and emotions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8555b0b764d4d33419ed04b19e56657e
http://arxiv.org/abs/2302.09466
http://arxiv.org/abs/2302.09466
With the increasing pervasiveness of Artificial Intelligence (AI), many visual analytics tools have been proposed to examine fairness, but they mostly focus on data scientist users. Instead, tackling fairness must be inclusive and involve domain expe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c808eb0b9d8dc242ed9a7255421ab80
http://arxiv.org/abs/2202.07349
http://arxiv.org/abs/2202.07349
Publikováno v:
IEEE Transactions on Vehicular Technology. 68:9399-9413
Taxi sharing is a promising approach to reducing energy consumptions, utilizing limited taxi resources efficiently while preserving the interest of individuals. The existing studies mostly fail to locate a pick-up/drop-off point for each individual p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::453b1135131a427152d11486ced4b2bb
https://doi.org/10.1109/tvt.2019.2932869
https://doi.org/10.1109/tvt.2019.2932869
Publikováno v:
IEEE Transactions on Mobile Computing. 18:1979-1991
This paper proposes a novel task allocation framework, PSTasker, for participatory sensing (PS), which aims to maximize the overall system utility on PS platform by coordinating the allocation of multiple tasks. While existing studies mainly optimize
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d82a7e894691487eb59eb7229958cdd
https://doi.org/10.1109/tmc.2018.2869387
https://doi.org/10.1109/tmc.2018.2869387
Publikováno v:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 3:1-46
Activity trackers are being deployed in large-scale physical activity intervention programs, but analyzing their data is difficult due to the large data size and complexity. As such large datasets of steps become more available, it is paramount to de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4c77904df2e9042bec8502052f90264
https://doi.org/10.1145/3328928
https://doi.org/10.1145/3328928
Publikováno v:
CHI
Crowdsourcing can collect many diverse ideas by prompting ideators individually, but this can generate redundant ideas. Prior methods reduce redundancy by presenting peers' ideas or peer-proposed prompts, but these require much human coordination. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a1997cc7fa910613c991d607bc24e2c
Feature attribution is widely used in interpretable machine learning to explain how influential each measured input feature value is for an output inference. However, measurements can be uncertain, and it is unclear how the awareness of input uncerta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6add2ec4a1f18a234170e14d2066a67
Publikováno v:
IEEE transactions on visualization and computer graphics. 27(4)
Many choice problems often involve multiple attributes which are mentally challenging, because only one attribute is neatly sorted while others could be randomly arranged. We hypothesize that perceiving approximately monotonic trends across multiple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26c1d5b72c5b5d356536339291b02031
https://pubmed.ncbi.nlm.nih.gov/33296304
https://pubmed.ncbi.nlm.nih.gov/33296304