Latest Articles for Computer Science

Analyzing the connection between C-I graphs, chordal graphs, and cographs.

A look into how Fréchet distance assesses curve similarity across various fields.

A new method for counting graphlets in changing networks.

DLSIA simplifies image analysis for scientists using machine learning techniques.

A look at segment and line cover numbers in graph representation.

Exploring how adaptive features improve neural network performance during training.

A new method for sharing formal proofs across different proof assistants.

A new approach to optimization using Riemannian geometry for better results.

This study improves mixed integer programming solvers through advanced conflict analysis techniques.

This article covers adaptive strategies in finite difference methods for improved accuracy.

New algorithms improve solutions for the Maximum Bimodal Subgraph problem.

A look into the significance and methods of Fixed Cardinality Graph Partitioning.

A closer look at softmax-ReLU regression and its impact on language models.

A new method enhances performance on imbalanced data in machine learning.

Exploring correspondence coloring and chromatic numbers in random graphs.

Graphs reveal relationships through their spectra and structural properties.

A look into quantum maps and their role in error correction.

A novel approach to improve performance in high-level synthesis through dynamic scheduling.

This article examines k-coloring and its significance in random hypergraphs.

The role of designers in improving software system performance and reliability.

A new approach to modular reduction boosts performance in cryptography.

A look at how distribution testing impacts data behavior assessment.

Examining cop number dynamics in k-uniform hypergraphs.

New techniques in order sweep maps enhance path analysis in mathematics.

A clear look at processes, concurrency, and their importance in computing.

This article explores methods to identify groupings in hypergraphs with high girth.

A new method for efficiently breaking down 4-connected graphs.

A fresh approach to modeling complex fluid behaviors using Hamiltonian structures.

A fresh perspective on deep neural networks using mathematical principles.

A look into directed graphs and methods to simplify cycle identification.

A study on merging deep learning and symbolic reasoning for better AI models.

This article discusses the role of coordination sequences in material properties.

New methods improve efficiency in solving Answer Set Programming problems.

A look into the colorful versions of classic graph problems.

New algorithm improves analysis of genetic and geographic data in evolutionary studies.

A new method for dialogue policy learning improves conversation responses.

This article discusses a new framework for efficient multi-view graph clustering.

Explore the structure and significance of bipartite graphs and their mathematical tools.

This article analyzes polyhedra's depth and structure in mathematics.

A look at discrete neural networks and their unique training methods.