GitHub

cica_coupling_confidence-aware_pretraining_with_confidence-informed_attention_fo.md

CICA enables each unimodal encoder to "self-evaluate" signal reliability (outputting confidence $s_m$ and uncertainty $u_m$) during pretraining. These signals are ...
Frontiers

Bacteriocin prediction through cross-validation-based and hypergraph-based feature evaluation approaches

Bacteriocins offer a promising solution to antibiotic resistance, possessing the ability to target a wide range of bacteria with precision. Thus, there is an urgent need for a computational model to ...
University of Kent

Professor Maria Paola Scaparra

Professor of Management Science Associate Dean for Research and Innovation Maria Paola Scaparra is a Professor of Management Science and a member of the Centre for Logistics and Heuristic Optimisation ...
Frontiers

Leveraging unified multi-view hypergraph learning for neurodevelopmental disorders diagnosis

Accurate diagnosis of neurodevelopmental disorders relies on understanding the complex interactions and high-order relationships between brain regions. This work aims to model the subtle, ...
C&EN

minChemBio: Expanding Chemical Synthesis with Chemo-Enzymatic Pathways Using Minimal Transitions

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Synthesis planning often begins with the design of a reaction ...
University of Waterloo

Math Professors receive $1.8M in NSERC funding

The University of Waterloo acknowledges that much of our work takes place on the traditional territory of the Neutral, Anishinaabeg, and Haudenosaunee peoples. Our main campus is situated on the ...
PNAS

Nonlinear bias toward complex contagion in uncertain transmission settings

Contagion dynamics are usually separated into two classes: simple contagion, used notably to describe the spread of infectious diseases, and complex contagion, mainly used to model the spread of ...
Europe PMC

ASPECTS OF TOPOLOGICAL APPROACHES FOR DATA SCIENCE.

We establish a new theory which unifies various aspects of topological approaches for data science, by being applicable both to point cloud data and to graph data, including networks beyond pairwise ...
C&EN

Generative Models for Extrapolation Prediction in Materials Informatics

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Article Views are the COUNTER-compliant sum of full text article downloads since ...
IEEE

HyperX: A Scalable Hypergraph Framework

Abstract: Hypergraphs are generalizations of graphs where the (hyper)edges can connect any number of vertices. They are powerful tools for representing complex and non-pairwise relationships. However, ...