Search: Small datasets — Academic Articles

Day-Ahead Electric Load Forecasting for the Residential Building with a Small-Size Dataset Based on a Self-Organizing Map and a Stacking Ensemble Learning Method

Jaehyun Lee, Jinho Kim, Woong Ko • Applied Sciences (2019)

Electric load forecasting for buildings is important as it assists building managers or system operators to plan energy usage and strategize accordingly. Recent increases in the adoption of advanced metering infrastructure (AMI) have made b...

DOAJ Open Access (DOAJ) DOI: 10.3390/app9061231

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Enhancing sentiment classification on small datasets through data augmentation and transfer learning

Mahmoud S. Mayaleh, Samer A. Mayaleh • Discover Artificial Intelligence (2026)

Abstract Small-scale sentiment classification often suffers from data scarcity, which limits the generalization ability of the models. This study evaluates and compares the effectiveness of three data augmentation strategies: Easy Data Augm...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44163-025-00813-9

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Contour-Based Wild Animal Instance Segmentation Using a Few-Shot Detector

Jiaxi Tang, Yaqin Zhao, Liqi Feng, Wenxuan Zhao • Animals (2022)

Camera traps are widely used in wildlife research, conservation, and management, and abundant images are acquired every day. Efficient real-time instance segmentation networks can help ecologists label and study wild animals. However, exist...

DOAJ Open Access (DOAJ) DOI: 10.3390/ani12151980

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Synthetic Data Pretraining for Hyperspectral Image Super-Resolution

Emanuele Aiello, Mirko Agarla, Diego Valsesia, Paolo Napoletano et al. • IEEE Access (2024)

Large-scale self-supervised pretraining of deep learning models is known to be critical in several fields, such as language processing, where its has led to significant breakthroughs. Indeed, it is often more impactful than architectural de...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3396990

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Convergence of Artificial Intelligence and Wearables in Strength Training and Performance Monitoring: A Scoping Review

Eleftherios Fyntikakis, Spyridon Plakias, Themistoklis Tsatalas, Minas A. Mina et al. • Applied Sciences (2026)

Background: Strength training (ST) is essential for enhancing athletic performance and reducing injury risk, yet traditional monitoring relies heavily on subjective assessment, limiting objective and individualized evaluation. Objective: Th...

DOAJ Open Access (DOAJ) DOI: 10.3390/app16073565

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Academic Articles & Research Papers

Day-Ahead Electric Load Forecasting for the Residential Building with a Small-Size Dataset Based on a Self-Organizing Map and a Stacking Ensemble Learning Method

Enhancing sentiment classification on small datasets through data augmentation and transfer learning

Contour-Based Wild Animal Instance Segmentation Using a Few-Shot Detector

Synthetic Data Pretraining for Hyperspectral Image Super-Resolution

Convergence of Artificial Intelligence and Wearables in Strength Training and Performance Monitoring: A Scoping Review