
Inter and Intradomain Knowledge Transfer for Related Tasks in Deep Character Recognition
Pretraining a deep neural network on the ImageNet dataset is a common p...
read it

LongBone Fracture Detection using Artificial Neural Networks based on Line Features of Xray Images
Two linebased fracture detection scheme are developed and discussed, na...
read it

Learning Options from Demonstration using Skill Segmentation
We present a method for learning options from segmented demonstration tr...
read it

An Automatic Relevance Determination Prior Bayesian Neural Network for Controlled Variable Selection
We present an Automatic Relevance Determination prior Bayesian Neural Ne...
read it

TwoStep Surface Damage Detection Scheme using Convolutional Neural Network and Artificial Neural Neural
Surface damage on concrete is important as the damage can affect the str...
read it

LongBone Fracture Detection using Artificial Neural Networks based on Contour Features of Xray Images
The following paper proposes two contourbased fracture detection scheme...
read it

Steepest Descent Neural Architecture Optimization: Escaping Local Optimum with Signed Neural Splitting
We propose signed splitting steepest descent (S3D), which progressively ...
read it

Automatic Relevance Determination Bayesian Neural Networks for Credit Card Default Modelling
Credit risk modelling is an integral part of the global financial system...
read it

A multivariate water quality parameter prediction model using recurrent neural network
The global degradation of water resources is a matter of great concern, ...
read it

Machine Learning CICY Threefolds
The latest techniques from Neural Networks and Support Vector Machines (...
read it

Iterative Graph SelfDistillation
How to discriminatively vectorize graphs is a fundamental challenge that...
read it

An empirical analysis of the relationship between web usage and academic performance in undergraduate students
The use of the internet, and in particular web browsing, offers many pot...
read it

Hierarchy through Composition with Linearly Solvable Markov Decision Processes
Hierarchical architectures are critical to the scalability of reinforcem...
read it

Highspeed detection of emergent market clustering via an unsupervised parallel genetic algorithm
We implement a masterslave parallel genetic algorithm (PGA) with a besp...
read it

Reinforcement Learning with Parameterized Actions
We introduce a modelfree algorithm for learning in Markov decision proc...
read it

Tableaubased decision procedure for the multiagent epistemic logic with all coalitional operators for common and distributed knowledge
We develop a conceptually clear, intuitive, and feasible decision proced...
read it

An Integrated FirstOrder Theory of Points and Intervals over Linear Orders (Part I)
There are two natural and wellstudied approaches to temporal ontology a...
read it

hepth
We apply techniques in natural language processing, computational lingui...
read it

An Integrated FirstOrder Theory of Points and Intervals over Linear Orders (Part II)
There are two natural and wellstudied approaches to temporal ontology a...
read it

Improving Traffic Safety Through Video Analysis in Jakarta, Indonesia
This project presents the results of a partnership between the Data Scie...
read it

Bit Flipping Moment Balancing Schemes for Insertion, Deletion and Substitution Error Correction
In this paper, two moment balancing schemes, namely a variable index sch...
read it

Restriction enzymes use a 24 dimensional coding space to recognize 6 base long DNA sequences
Restriction enzymes recognize and bind to specific sequences on invading...
read it

The ακμ Shadowed Fading Distribution: Statistical Characterization and Applications
We introduce the ακμ shadowed (αKMS) fading distribution as a natural...
read it

Learning Portable Representations for HighLevel Planning
We present a framework for autonomously learning a portable representati...
read it

Quantisation and Pruning for Neural Network Compression and Regularisation
Deep neural networks are typically too computationally expensive to run ...
read it

Short sighted deep learning
A theory explaining how deep learning works is yet to be developed. Prev...
read it

Optimal DG allocation and sizing in power system networks using swarmbased algorithms
Distributed generation (DG) units are power generating plants that are v...
read it

A Comprehensive Analysis of Correlated Source Compression Using Edge Computing in Distributed Systems
This paper examines the theory pertaining to lossless compression of cor...
read it

Baryons from Mesons: A Machine Learning Perspective
Quantum chromodynamics (QCD) is the theory of the strong interaction. Th...
read it

Optimization Algorithms for Improving the Performance of Permutation Trellis Codes
In this paper, softdecision decoders of permutation trellis codes (PTC)...
read it

Concatenated Permutation Block Codes for SpaceTime Shift Keying in Indoor Visible Light Communication
In this paper, concatenated permutation codewordsare used to improve the...
read it

Concatenated Permutation Codes for Indoor MIMO Visible Light Communication
In this paper, concatenated permutation codewords are used to improve th...
read it

Comparison of Recurrent Neural Network Architectures for Wildfire Spread Modelling
Wildfire modelling is an attempt to reproduce fire behaviour. Through ac...
read it

Automated machine vision enabled detection of movement disorders from hand drawn spirals
A widely used test for the diagnosis of Parkinson's disease (PD) and Ess...
read it
University of the Witwatersrand
The University of the Witwatersrand, Johannesburg, is a multicampus South African public research university situated in the northern areas of central Johannesburg.