
Counting Fish and Dolphins in Sonar Images Using Deep Learning
Deep learning provides the opportunity to improve upon conflicting repor...
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Identifying and interpreting tuning dimensions in deep networks
In neuroscience, a tuning dimension is a stimulus attribute that account...
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On the Evaluation of Conditional GANs
Conditional Generative Adversarial Networks (cGANs) are finding increasi...
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Leveraging Uncertainty Estimates for Predicting Segmentation Quality
The use of deep learning for medical imaging has seen tremendous growth ...
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Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions
Graphs evolving over time are a natural way to represent data in many do...
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Discovery Radiomics with CLEARDR: Interpretable Computer Aided Diagnosis of Diabetic Retinopathy
Objective: Radiomicsdriven Computer Aided Diagnosis (CAD) has shown con...
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Attacking Binarized Neural Networks
Neural networks with lowprecision weights and activations offer compell...
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LesionSeg: Semantic segmentation of skin lesions using Deep Convolutional Neural Network
We present a method for skin lesion segmentation for the ISIC 2017 Skin ...
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mpEAd: MultiPopulation EA Diagrams
Multipopulation evolutionary algorithms are, by nature, highly complex ...
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Automatic Moth Detection from Trap Images for Pest Management
Monitoring the number of insect pests is a crucial component in pheromon...
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Learning Human Identity from Motion Patterns
We present a largescale study exploring the capability of temporal deep...
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Explaining the Unexplained: A CLassEnhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks
In this work, we propose CLassEnhanced Attentive Response (CLEAR): an a...
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Generative Classconditional Autoencoders
Recent work by Bengio et al. (2013) proposes a sampling procedure for de...
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Neural Network Regularization via Robust Weight Factorization
Regularization is essential when training large neural networks. As deep...
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Scoring and Classifying with Gated Autoencoders
Autoencoders are perhaps the bestknown nonprobabilistic methods for r...
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Learning Human Pose Estimation Features with Convolutional Networks
This paper introduces a new architecture for human pose estimation using...
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Dataset Augmentation in Feature Space
Dataset augmentation, the practice of applying a wide array of domainsp...
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An Integrated Simulator and Dataset that Combines Grasping and Vision for Deep Learning
Deep learning is an established framework for learning hierarchical data...
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Modeling Grasp Motor Imagery through Deep Conditional Generative Models
Grasping is a complex process involving knowledge of the object, the sur...
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Skin Lesion Classification Using Deep Multiscale Convolutional Neural Networks
We present a deep learning approach to the ISIC 2017 Skin Lesion Classif...
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Learning a metric for classconditional KNN
Naive Bayes Nearest Neighbour (NBNN) is a simple and effective framework...
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Deep Learning on FPGAs: Past, Present, and Future
The rapid growth of data size and accessibility in recent years has inst...
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Caffeinated FPGAs: FPGA Framework For Convolutional Neural Networks
Convolutional Neural Networks (CNNs) have gained significant traction in...
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Model Based Clustering of HighDimensional Binary Data
We propose a mixture of latent trait models with common slope parameters...
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Robust Asymmetric Clustering
Contaminated mixture models are developed for modelbased clustering of ...
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Families of Parsimonious Finite Mixtures of Regression Models
Finite mixtures of regression models offer a flexible framework for inve...
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Variational Bayes Approximations for Clustering via Mixtures of Normal Inverse Gaussian Distributions
Parameter estimation for modelbased clustering using a finite mixture o...
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Standardizing Interestingness Measures for Association Rules
Interestingness measures provide information that can be used to prune o...
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Mixtures of Common Skewt Factor Analyzers
A mixture of common skewt factor analyzers model is introduced for mode...
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Constrained Optimization for a Subset of the Gaussian Parsimonious Clustering Models
The expectationmaximization (EM) algorithm is an iterative method for f...
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A Variational ApproximationsDIC Rubric for Parameter Estimation and Mixture Model Selection Within a Family Setting
Mixture modelbased clustering has become an increasingly popular data a...
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A LASSOPenalized BIC for Mixture Model Selection
The efficacy of familybased approaches to mixture modelbased clusterin...
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Mixtures of Shifted Asymmetric Laplace Distributions
A mixture of shifted asymmetric Laplace distributions is introduced and ...
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ModDrop: adaptive multimodal gesture recognition
We present a method for gesture detection and localisation based on mult...
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"Mental Rotation" by Optimizing Transforming Distance
The human visual system is able to recognize objects despite transformat...
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Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points
We propose a method for human activity recognition from RGB data which d...
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RealTime EndtoEnd Action Detection with TwoStream Networks
Twostream networks have been very successful for solving the problem of...
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Quantitatively Evaluating GANs With Divergences Proposed for Training
Generative adversarial networks (GANs) have been extremely effective in ...
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Deep Learning Object Detection Methods for Ecological Camera Trap Data
Deep learning methods for computer vision tasks show promise for automat...
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Convolutional Neural Networks Regularized by Correlated Noise
Neurons in the visual cortex are correlated in their variability. The pr...
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Adversarial Training Versus Weight Decay
Performancecritical machine learning models should be robust to input p...
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Empirical Vulnerability Analysis of Automated Smart Contracts Security Testing on Blockchains
The emerging blockchain technology supports decentralized computing para...
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Past, Present, and Future Approaches Using Computer Vision for Animal ReIdentification from Camera Trap Data
The ability of a researcher to reidentify (reID) an individual animal ...
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Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules
Spectral Graph Convolutional Networks (GCNs) are a generalization of con...
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Similarity Learning Networks for Animal Individual ReIdentification  Beyond the Capabilities of a Human Observer
The ability of a researcher to reidentify (reID) an animal individual ...
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Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning
In this study, we propose the leveraging of interpretability for tasks b...
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Blockchainenabled Authentication Handover with Efficient Privacy Protection in SDNbased 5G Networks
5G mobile networks provide additional benefits in terms of lower latency...
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Smart Grid Cyber Attacks Detection using Supervised Learning and Heuristic Feature Selection
False Data Injection (FDI) attacks are a common form of Cyberattack tar...
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"Conservatives Overfit, Liberals Underfit": The SocialPsychological Control of Affect and Uncertainty
The presence of artificial agents in human social networks is growing. F...
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Using the Generalized Collage Theorem for Estimating Unknown Parameters in Perturbed Mixed Variational Equations
The use of mixed variational formulations in mathematical modeling, as w...
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University of Guelph
22361 The University of Guelph is a comprehensive public research university in Guelph, Ontario, Canada.