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Found 14 papers, 2 papers with code
Functional Graph Convolutional Networks: A unified multi-task and multi-modal learning framework to facilitate health and social-care insights
This paper introduces a novel Functional Graph Convolutional Network (funGCN) framework that combines Functional Data Analysis and Graph Convolutional Networks to address the complexities of multi-task and multi-modal learning in digital health and longitudinal studies.
A new computationally efficient algorithm to solve Feature Selection for Functional Data Classification in high-dimensional spaces
This paper introduces a novel methodology for Feature Selection for Functional Classification, FSFC, that addresses the challenge of jointly performing feature selection and classification of functional data in scenarios with categorical responses and multivariate longitudinal features.
TDMSci: A Specialized Corpus for Scientific Literature Entity Tagging of Tasks Datasets and Metrics
Tasks, Datasets and Evaluation Metrics are important concepts for understanding experimental scientific papers.
HBCP Corpus: A New Resource for the Analysis of Behavioural Change Intervention Reports
Due to the fast pace at which research reports in behaviour change are published, researchers, consultants and policymakers would benefit from more automatic ways to process these reports.
A Summarization System for Scientific Documents
We present a novel system providing summaries for Computer Science publications.
Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction
While the fast-paced inception of novel tasks and new datasets helps foster active research in a community towards interesting directions, keeping track of the abundance of research activity in different areas on different datasets is likely to become increasingly difficult.
Extracting Factual Min/Max Age Information from Clinical Trial Studies
Population age information is an essential characteristic of clinical trials.
Know Who Your Friends Are: Understanding Social Connections from Unstructured Text
Having an understanding of interpersonal relationships is helpful in many contexts.
Decision Conversations Decoded
We describe the vision and current version of a Natural Language Processing system aimed at group decision making facilitation.
