Results 161 to 170 of about 20,647 (260)

Inferring a directed acyclic graph of phenotypes from GWAS summary statistics. [PDF]

Biometrics
Zilinskas R, Li C, Shen X, Pan W, Yang T.   +4 more
europepmc   +1 more source

ReTrace: Interactive Visualizations for Reasoning Traces of Large Reasoning Models

Computer Graphics Forum, EarlyView.
Abstract Recent advances in Large Language Models have led to Large Reasoning Models, which produce step‐by‐step reasoning traces. Such traces may offer insight into how models think, improving explainability and clarifying the underlying process. These traces, however, are often verbose and complex, making them cognitively demanding to comprehend ...
L. Felder, J. Miller, M. Wallinger, S. G. Kobourov, C. Chen   +4 more
wiley   +1 more source

Directed Acyclic Graph Assisted Method For Estimating Average Treatment Effect. [PDF]

J Biopharm Stat
Sun J, Duncan S, Pal S, Kong M.
europepmc   +1 more source

Survey on Visualization of Information Diffusion over Networks

Computer Graphics Forum, EarlyView.
Abstract Information Diffusion (ID) describes how a value (e.g., a pathogen, a rumor, a packet) spreads through an underlying “medium” network of elements (e.g., a social or computer network). Understanding the information diffusion process is essential to predicting trends, controlling misinformation, and enhancing decision‐making as well as ...
T. Baumgartl, M. Sondag, V. Filipov, M. Tuscher, S. Rajendran, S. Miksch, D. Archambault, A. Arleo, T. von Landesberger   +8 more
wiley   +1 more source

The Story(line) So Far: A Survey on Storyline Visualization

Computer Graphics Forum, EarlyView.
Abstract Storyline visualizations model narratives as temporal networks, using x‐monotone lines to represent entities and their interactions over time. This technique offers an intuitive way to reveal structural patterns over time, such as character co‐occurrence and narrative flow.
S. Di Bartolomeo, A. Dobler, V. Filipov, M. Nöllenburg, H. Ehlers   +4 more
wiley   +1 more source

Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning. [PDF]

J Am Stat Assoc
Shi C, Zhou Y, Li L.
europepmc   +1 more source

A Comparative User Study on Control‐Flow Visualizations of Event Log Data

Computer Graphics Forum, EarlyView.
This paper compares seven commonly used control‐flow visualizations using a formal user study with 48 participants. Directly‐Follows Graphs (DFGs), Petri nets, Business Process Model and Notations, Process trees, variant timelines, Icicle plots, and Sankey visualizations are evaluated on their performance on different tasks, understandability, and user
S. van der Linden, M. C. Willemsen, M. D. Brunings, A. Vilanova, S. van den Elzen   +4 more
wiley   +1 more source

The cerebral palsy directed acyclic graph: A structural causal model of aetiology

Developmental Medicine &Child Neurology, EarlyView.
The first international cerebral palsy directed acyclic graph (CP‐DAG) maps over 100 nodes and 370 links across biological, clinical, and social domains, offering a unified causal framework to guide research and identify knowledge gaps. Abstract Aim To describe the development of the initial version of the cerebral palsy (CP) directed acyclic graph ...
Shona Goldsmith, Sarah McIntyre, Nadia Badawi, Bernard Dan, Steven Day, Kate Himmelmann, Sandra Julsen Hollung, Bo Jacobsson, Gija Rackauskaite, Robert J. Reynolds   +9 more
wiley   +1 more source

A commentary on 'In-hospital waiting time to surgery and functional outcomes in geriatric hip fractures: a directed acyclic graph-based preplanned analysis from a prospective multicenter cohort study'. [PDF]

Int J Surg
Shen L, He X, Li T, Xiang Y, Luo M, Zhang Y, Sun L.   +6 more
europepmc   +1 more source

Directed Acyclic Graph [PDF]

, 2020
openaire   +1 more source