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?

Learning Curve Extrapolation using Machine Learning: Benefits and Limitations of using LCPFN for Learning Curve Extrapolation

Deep Learning the Dynamics of Mechanical Systems

Microtubule Detection and Instance Segmentation using Deep Convolutional Neural Networks

Tailoring Attacks To Federated Continual Learning Models

Identifying biological markers in the gut microbiome associated with celiac disease using machine learning

Finding Biomarkers for Type 2 Diabetes

Empirical Investigation of Learning Curves: Assessing Convexity Characteristics

Bridging the Knowledge Gap: Identifying Essential Machine Learning Concepts for Effective Progression in Follow-Up Courses

A Comparative Analysis of Learning Curve Models and their Applicability in Different Scenarios: Finding datasets patterns which lead to certain parametric curve model

Annotation Practices in Machine Learning Research On Depression

Using Nearest-Neighbors to Evaluate Overlap in Causal Inference

Data-Driven Empirical Analysis of Correlation-Based Feature Selection Techniques

Genetic algorithm-based program synthesizer for the construction of machine learning pipelines

Parallel cost-aware optimization of multidimensional black-box functions

Algal Bloom Forecasting using Remote Sensing: Discovering the most predictive data modalities for Algal Bloom Forecasting

Loss functions and neural networks: Comparing different loss functions for NLP neural networks

Implementing beam shape variations in a deep learning based proton dose calculation algorithm

Short-term Earthquake Prediction with Deep Neural Networks: Finding the optimal time prior to earthquake strikes to use in predictions

Optimize the indescribable: A Look at the Unification between Machine Learning and Optimization