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Machine Learning
An earth observation and explainable machine learning approach for determining the drivers of invasive species — a water hyacinth case study
Invasive species management is often constrained by limited resources and complicated by ecological and socio-economic variability …
Geethen Singh
,
Benjamin Rosman
,
Marcus Byrne
,
Chevonne Reynolds
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Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks
In spite of finite dimension ReLU neural networks being a consistent factor behind recent deep learning successes, a theory of feature …
Devon Jarvis
,
Richard Klein
,
Benjamin Rosman
,
Andrew Saxe
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A Linear Network Theory of Iterated Learning
Language provides one of the primary examples of human’s ability to systematically generalize — reasoning about new …
Devon Jarvis
,
Richard Klein
,
Benjamin Rosman
,
Andrew Saxe
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On The Specialization of Neural Modules
A number of machine learning models have been proposed with the goal of achieving systematic generalization: the ability to reason …
Devon Jarvis
,
Richard Klein
,
Benjamin Rosman
,
Andrew Saxe
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Comparing Synthetic Tabular Data Generation Between a Probabilistic Model and a Deep Learning Model for Education Use Cases
The ability to generate synthetic data has a variety of use cases across different domains. In education research, there is a growing …
Herkulaas Combrink
,
Vukosi Marivate
,
Benjamin Rosman
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Reinforcement Learning in Education: A Multi-Armed Bandit Approach
Advances in reinforcement learning research have demonstrated the ways in which different agent-based models can learn how to optimally …
Herkulaas Combrink
,
Vukosi Marivate
,
Benjamin Rosman
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Estimation of Body Mass Index from Photographs using Deep Convolutional Neural Networks
Obesity is an important concern in public health, and Body Mass Index is one of the useful, common and convenient measures. However, …
Adam Pantanowitz
,
Emmanuel Cohen
,
Philippe Gradidge
,
Nigel J. Crowther
,
Vered Aharonson
,
Benjamin Rosman
,
David M. Rubin
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Defect Detection and Quantification in Electroluminescence Images of Solar PV Modules using U-net Semantic Segmentation
Electroluminescence (EL) images enable defect detection in solar photovoltaic (PV) modules that are otherwise invisible to the naked …
Lawrence Pratt
,
Devashen Govender
,
Richard Klein
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A Framework for Undergraduate Data Collection Strategies for Student Support Recommendation Systems in Higher Education
Understanding which student support strategies mitigate dropout and improve student retention is an important part of modern higher …
Herkulaas Combrink
,
Vukosi Marivate
,
Benjamin Rosman
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A Remote Sensing Method to Monitor Water, Aquatic Vegetation, and Invasive Water Hyacinth at National Extents
Diverse freshwater biological communities are threatened by invasive aquatic alien plant (IAAP) invasions and consequently, cost …
Geethen Singh
,
Chevonne Reynolds
,
Marcus Byrne
,
Benjamin Rosman
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