The relevant data file for this article. حسب Linsha Liu (20378293)

Cell-TRACTR detects cells in the first frame at time t 0. Object queries predicted to be a “cell” are converted to track queries. For Track Group Denoising (TGD), random noise is a... حسب Owen M. O’Connor (11965460)

Relevant computed image data. حسب Zhaoyu Ku (20660546)

City driving speed query results. حسب Meilin Zhu (688698)

Cells are initially detected in frame t₀ and then tracked to frame t₁. Object queries are processed in the first layer of the decoder for object detection. In... حسب Owen M. O’Connor (11965460)

Summary of relevant works. حسب Bashir Olaniyi Sadiq (22478011)

Number of tweets collected per query and type. حسب Sylvia Iasulaitis (8301189)

Example illustrating how object and track queries interact using an attention map processed by Cell-TRACTR across two subsequent frames. The schematic displays the actual output al... حسب Owen M. O’Connor (11965460)

The relevant code in the manuscript can be found in the supporting information data file. حسب Xini Fang (20861990)

Model-relevant variable data for external patients. حسب Lei Gao (6566)

Relevant data underlying the findings described in manuscript. حسب Lin Qi (128224)

Data generation algorithm. حسب Aluwani Ramalata (21262977)

Performance of ENQUIRE’s gene normalization algorithm. حسب Luca Musella (19986312)

Relevant Parameters. حسب Dongyan Wang (195482)

Example of a knowledge query. حسب Bei Li (90587)

Data Sheet 1_Algorithmic esthetics meets human intuition: the synergy of innovation and relevance shapes sustained attention.pdf حسب Wen Guan (5612195)

Comparison of the EODA algorithm with existing algorithms in terms of recall. حسب Sunil Kumar (102321)

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Comparison of the EODA algorithm with existing algorithms in terms of precision. حسب Sunil Kumar (102321)

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Definitions of relevant SSA parameters. حسب Yeping Shi (14279118)

Comparison of the EODA algorithm with existing algorithms in terms of F1-Score. حسب Sunil Kumar (102321)

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