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Evaluating the Performance of qVFM in Mapping the Visual Field of Simulated Observers With Eye Diseases

Published in Frontiers in Neuroscience

Purpose Recently, we developed a novel active learning framework, qVFM, to map visual functions in the visual field. The method has been implemented and validated in measuring light sensitivity and contrast sensitivity visual field maps (VFMs) of normal observers. In this study, we evaluated the performance of the qVFM method in mapping the light s...

SYMBALS: A Systematic Review Methodology Blending Active Learning and Snowballing

Published in Frontiers in Research Metrics and Analytics

Research output has grown significantly in recent years, often making it difficult to see the forest for the trees. Systematic reviews are the natural scientific tool to provide clarity in these situations. However, they are protracted processes that require expertise to execute. These are problematic characteristics in a constantly changing enviro...

International teleconferences in EGAP courses: preparing students for prospective professional situations

Published in Language Learning in Higher Education

This paper describes a joint programme developed in 2018 by the University of Parma Language Centre (Italy) and the Humanities and Arts Department of the Technion-Israel Institute of Technology. The aim of the project was to involve students of English for General Academic Purposes in delivering presentations to an unfamiliar foreign audience on a ...

On Ensembles, I-Optimality, and Active Learning

Published in Journal of Statistical Theory and Practice

We consider the active learning problem for a supervised learning model: That is, after training a black box model on a given dataset, we determine which (large batch of) unlabeled candidates to label in order to improve the model further. We concentrate on the large batch case, because this is most aligned with most machine learning applications, ...

Zelenjavni vrt

V diplomskem delu z naslovom Zelenjavni vrt je predstavljeno projektno delo s pristopom učenja z raziskovanjem. Učenje z raziskovanjem je eden temeljnih principov učenja v predšolskem obdobju in ga uvrščamo v metodo aktivnega učenja, ki otrokom omogoča praktično sodelovanje v dejavnostih in učenje na osnovi konkretnih izkušenj. Pristop spodbuja otr...

Large-Scale Counting and Localization of Pineapple Inflorescence Through Deep Density-Estimation

Published in Frontiers in Plant Science

A Transfer Learning–Based Active Learning Framework for Brain Tumor Classification

Published in Frontiers in Artificial Intelligence

Brain tumor is one of the leading causes of cancer-related death globally among children and adults. Precise classification of brain tumor grade (low-grade and high-grade glioma) at an early stage plays a key role in successful prognosis and treatment planning. With recent advances in deep learning, artificial intelligence–enabled brain tumor gradi...

NeMO-Net – Gamifying 3D Labeling of Multi-Modal Reference Datasets to Support Automated Marine Habitat Mapping

Published in Frontiers in Marine Science

NASA NeMO-Net, The Neural Multimodal Observation and Training Network for global coral reef assessment, is a convolutional neural network (CNN) that generates benthic habitat maps of coral reefs and other shallow marine ecosystems. To segment and classify imagery accurately, CNNs require curated training datasets of considerable volume and accuracy...