Leslie M. Collins
5 papers · 2023–2026 · 2 venues · across top CS/AI venues
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
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Research topics
Machine Learning
(5)
Deep Learning
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Application Areas
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Artificial Intelligence
(2)
Computer Vision
(2)
Core AI
(2)
Domain-Specific
(2)
Learning Types · Machine Learning
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Learning Types · Deep Learning
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Models
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Healthcare & Medicine
(1)
Architectures
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Core Methods
(1)
Learning Paradigms
(1)
Optimization & Theory
(1)
Keywords
brain-computer interface
(2)
image segmentation
(1)
manifold learning
(1)
domain adaptation
(1)
style transfer
(1)
object detection
(1)
cross-modal learning
(1)
deep learning
(1)
remote sensing
(1)
computational efficiency
(1)
p300 speller
(1)
inverse problem
(1)
foundation model
(1)
data quality
(1)
segment anything model
(1)
zero-shot segmentation
(1)
amyotrophic lateral sclerosis
(1)
infrared imaging
(1)
overhead imagery
(1)
inverse modeling
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Papers
A Data-Centric Analysis of the Impact of Training Data Quality vs. Quantity on P300 Brain-Computer Interface Performance (Student Abstract)
AAAI 2026
Assessing the Impact of Population Data Domain Differences on Transfer Learning in P300-based Brain-Computer Interfaces (Student Abstract)
AAAI 2025
Meta-Learning for Color-to-Infrared Cross-Modal Style Transfer
WACV 2025
Segment Anything, From Space?
WACV 2024
Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling
AAAI 2023