Learning Reduced-Order Mappings between Functions: An Investigation of Suitable Inputs and Outputs

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

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

Learning Curves: How do Data Imbalances affect the Learning Curves using Nearest Mean Model?

A comparative analysis of coding approaches in machine learning among computer science students and non-computer science students

Performance of outlier detection on smartwatch data in single and multiple person environments: An analysis of the performance of different outlier detection methods on consumer-grade wearable data in environments with single and multiple subjects

Efficient Temporal Action Localization via Vision-Language Modelling: An Empirical Study on the STALE Model's Efficiency and Generalizability in Resource-constrained Environments

Decoding EEG signals

Annotation practices in affective computing: What are these algorithms actually trained on?

Estimating intentions to speak in social settings: Speaker intention estimation using accelerometer data and non-verbal vocal behaviour

Effectiveness of propensity score methods with density estimation in identifying overlap for causal inference

Generalizability of Deep Domain Adaptation in case of Sample Selection Bias

Non-Monotonicity in Empirical Learning Curves: Identifying non-monotonicity through slope approximations on discrete points

Estimating Intention To Speak Using Non-Verbal Vocal Behavior

Investigating Data Collection and Reporting Practices of Human Annotations in Societally Impactful Machine Learning Applications: A Systematic Review of Top-Cited IEEE Access Papers

Federated learning: A comparison of methods: How do different ML models compare to each other

Annotation Practices in Societally Impactful Machine Learning Applications: What are the recommender systems models actually trained on?

Finding Biomarkers for Schizophrenia: Can Machine Learning algorithms identify schizophrenia-related biomarkers within metagenomic data derived from the human gut microbiome?

Does text matter?: Extending CLIP with OCR and NLP for image classification and retrieval

Solving ML with ML: Effectiveness of the Metropolis-Hastings algorithm for synthesizing Machine Learning Pipelines