Fragmenting Genome Sequences by Coding Regions to Improve Performance of the AmpliDiff Algorithm for Large Genomes

Procedural Tree Generation: How to efficiently predict branching structures from foliage?

Can we extract a relevant, available, and self-contained core of the Maven ecosystem?: Extracting the pillars of the community, and their dependencies.

What are the types of projects that Scratch users create?: How do different types of features relate to the project type?

Data Driven Approximations Of PDEs: On Robustness of Reduced Order Mappings between Function Spaces Against Noise

Procedural Tree Generation: Inverse Modelling of 2D Trees using Graph Neural Networks

Prevalence of non-monotonicity in learning curves

Short-term interactions between Staphylococcus aureus and Pseudomonas aeruginosa: BEP Report

Analysis on the Vulnerability of Multi-Server Federated Learning Against Model Poisoning Attacks

Exploring the Impact of Single-Character Attacks in Federated Learning Language Classification: Introducing the Novel Single-Character Strike

Towards More Effective Querying of Medical Literature in Alexandria3K: How useful can Alexandria3K be for performing literature reviews

Finding your digital sibling: Grouping GitHub projects that share certain attributes based on interactions and activities

Use of LLMs to Improve Affiliation Disambiguation in Alexandria3k

Clustering Scratch projects by code complexity traits and project traits

Finding your digital sibling: which other GitHub projects are similar to yours?: Finding similar repositories based on the available documentation

Procedural Tree Generation: Compressing 3D tree for faster rendering

Topic Classification of Publications: Identifying publication topics based on existing journals

Synthetic data generation for the optimization of strains in metabolic engineering using generative adversarial networks

Clustering Learning Curves in Machine Learning using K-Means Algorithm: Can patterns be identified amongst learning curves after the application of the K-Means algorithm using point and statistical vectors?

Navigating the Pedagogical Landscape: An Exploration of Machine Learning Teaching Methods