
Variance Constrained Autoencoding
Recent stateoftheart autoencoder based generative models have an enco...
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Surrogateassisted Particle Swarm Optimisation for Evolving Variablelength Transferable Blocks for Image Classification
Deep convolutional neural networks have demonstrated promising performan...
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Bounded Information Rate Variational Autoencoders
This paper introduces a new member of the family of Variational Autoenco...
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Particle Swarm Optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks
Deep Convolutional Neural Networks (CNNs) have been widely used in image...
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Genetic Programming for Evolving a Front of Interpretable Models for Data Visualisation
Data visualisation is a key tool in data mining for understanding big da...
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Evolutionary Multitasking for Semantic Web Service Composition
Web services are basic functions of a software system to support the con...
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Memetic EDABased Approaches to Comprehensive QualityAware Automated Semantic Web Service Composition
Comprehensive qualityaware automated semantic web service composition i...
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Deep Line Art Video Colorization with a Few References
Coloring line art images based on the colors of reference images is an i...
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A Particle Swarm Optimizationbased Flexible Convolutional AutoEncoder for Image Classification
Convolutional autoencoders have shown their remarkable performance in s...
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Evolving Deep Convolutional Neural Networks for Image Classification
Evolutionary computation methods have been successfully applied to neura...
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Sampling Generative Networks
We introduce several techniques for sampling and visualizing the latent ...
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Deep Online Convex Optimization with Gated Games
Methods from convex optimization are widely used as building blocks for ...
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Compatible Value Gradients for Reinforcement Learning of Continuous Deep Policies
This paper proposes GProp, a deep reinforcement learning algorithm for c...
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Domain Adaptive Neural Networks for Object Recognition
We propose a simple neural network model to deal with the domain adaptat...
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Crossmodal Subspace Learning for Finegrained Sketchbased Image Retrieval
Sketchbased image retrieval (SBIR) is challenging due to the inherent d...
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Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization
This paper addresses classification tasks on a particular target domain ...
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Domain Generalization for Object Recognition with Multitask Autoencoders
The problem of domain generalization is to take knowledge acquired from ...
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ComplianceAware Bandits
Motivated by clinical trials, we study bandits with observable noncompl...
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Hyperbolic pseudoinverses for kinematics in the Euclidean group
The kinematics of a robot manipulator are described in terms of the mapp...
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Strong consistency and optimality for generalized estimating equations with stochastic covariates
In this article we study the existence and strong consistency of GEE est...
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Unraveling the dynamics of growth, aging and inflation for citations to scientific articles from specific research fields
We analyze the time evolution of citations acquired by articles from jou...
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An evaluation of intrusive instrumental intelligibility metrics
Instrumental intelligibility metrics are commonly used as an alternative...
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An instrumental intelligibility metric based on information theory
We propose a new monaural intrusive instrumental intelligibility metric ...
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Generating Redundant Features with Unsupervised MultiTree Genetic Programming
Recently, feature selection has become an increasingly important area of...
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IGD Indicatorbased Evolutionary Algorithm for Manyobjective Optimization Problems
Inverted Generational Distance (IGD) has been widely considered as a rel...
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Improved Regularity Modelbased EDA for Manyobjective Optimization
The performance of multiobjective evolutionary algorithms deteriorates ...
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Tracing sharing in an imperative pure calculus
We introduce a type and effect system, for an imperative object calculus...
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Evolving Deep Convolutional Neural Networks by Variablelength Particle Swarm Optimization for Image Classification
Convolutional neural networks (CNNs) are one of the most effective deep ...
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An Adaptive Clipping Approach for Proximal Policy Optimization
Very recently proximal policy optimization (PPO) algorithms have been pr...
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Distribution free goodness of fit tests for regularly varying tail distributions
We discuss in this paper a possibility of constructing a whole class of ...
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Flexible recovery of uniqueness and immutability (Extended Version)
We present an imperative object calculus where types are annotated with ...
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Visualizing Design Erosion: How Big Balls of Mud are Made
Software systems are not static, they have to undergo frequent changes t...
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Statistical generalized derivative applied to the profile likelihood estimation in a mixture of semiparametric models
There is a difficulty in finding an estimate of variance of the profile ...
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Kernel Density EstimationBased Markov Models with Hidden State
We consider Markov models of stochastic processes where the nextstep co...
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Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification
Convolutional Neural Networks (CNNs) have gained a remarkable success on...
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A Hybrid DE Approach to Designing CNN for Image Classification
Convolutional Neural Networks (CNNs) have demonstrated their superiority...
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A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification
Convolutional Neural Networks (CNNs) have demonstrated their superiority...
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ContentPreserving Image Stitching with Regular Boundary Constraints
This paper proposes an approach to contentpreserving stitching of image...
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Sampling on the sphere from f(x) ∝ x^TAx
A method for drawing random samples of unit vectors x in R^p with densit...
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Composing Distributed Dataintensive Web Services Using a Flexible Memetic Algorithm
Web Service Composition (WSC) is a particularly promising application of...
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GANovo: De Novo Peptide Sequencing via Tandem Mass Spectrometry using Genetic Algorithm
Proteomics is the largescale analysis of the proteins. The common metho...
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BOLTSSI: A Statistical Approach to Screening Interaction Effects for UltraHigh Dimensional Data
Detecting interaction effects is a crucial step in various applications....
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Exante measure of patent quality reveals intrinsic fitness for citationnetwork growth
We have constructed a fitness parameter, characterizing the intrinsic at...
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Rapidly Adapting Moment Estimation
Adaptive gradient methods such as Adam have been shown to be very effect...
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Optimizing Controller Placement for SoftwareDefined Networks
Controller placement problem (CPP) is a key issue for SoftwareDefined N...
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Iteratively Composing Statically Verified Traits
Metaprogramming is often used to programmatically generate faster specia...
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A Hybrid GAPSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks
Image classification is a difficult machine learning task, where Convolu...
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Effective Scheduling Function Design in SDN through Deep Reinforcement Learning
Recent research on SoftwareDefined Networking (SDN) strongly promotes t...
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Automatic Device Selection and Access PolicyGeneration based on User Preference for IoTActivity Workflow
The emerging Internet of Things (IoT) has lead to a dramatic increase in...
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Channel Correlation Diversity in MUMIMO Systems  Analysis and Measurements
In multiuser multipleinput multipleoutput (MUMIMO) systems, channel c...
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Victoria University of Wellington
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