Victoria Hodge | University of York (original) (raw)

Papers by Victoria Hodge

Research paper thumbnail of On the use of AI for Generation of Functional Music to Improve Mental Health

Frontiers in artificial intelligence, Nov 19, 2020

Research paper thumbnail of A Psychometric Evaluation of Emotional Responses to Horror Music

Journal of The Audio Engineering Society, Mar 10, 2019

Research paper thumbnail of Time to Die 2: Improved in-game death prediction in Dota 2

Machine learning with applications, Jun 1, 2023

Research paper thumbnail of Sensors and Data in Mobile Robotics for Localisation

IGI Global eBooks, Oct 14, 2022

Research paper thumbnail of Integrating Information Retrieval & Neural Networks

Research paper thumbnail of A Strategic Roadmap for Business Model Change for the Video-games Industry

Research paper thumbnail of An evaluation of standard retrieval algorithms and a weightless neural approach

In this paper we evaluate a selection of data retrieval algorithms for storage efficiency, retrie... more In this paper we evaluate a selection of data retrieval algorithms for storage efficiency, retrieval speed and partial matching capabilities using a large Information Retrieval dataset. We evaluate standard data structures, for example inverted file lists and hash tables, but also a novel binary neural network that incorporates: single-epoch training, superimposed coding and associative matching in a binary matrix data structure. We identify the strengths and weaknesses of the approaches. From our evaluation, the novel neural network approach is superior with respect to training speed and partial match retrieval time. From the results, we make recommendations for the appropriate usage of the novel neural approach.

Research paper thumbnail of Wireless Sensor Networks for Condition Monitoring in the Railway Industry: A Survey

IEEE Transactions on Intelligent Transportation Systems, Jun 1, 2015

Research paper thumbnail of A binary neural decision table classifier

Neurocomputing, Oct 1, 2006

Research paper thumbnail of Time to Die: Death Prediction in Dota 2 using Deep Learning

arXiv (Cornell University), May 21, 2019

Research paper thumbnail of Hadoop neural network for parallel and distributed feature selection

Neural Networks, Jun 1, 2016

Research paper thumbnail of A comparison of standard spell checking algorithms and a novel binary neural approach

IEEE Transactions on Knowledge and Data Engineering, Sep 1, 2003

Research paper thumbnail of AI and Automatic Music Generation for Mindfulness

Research paper thumbnail of A HADOOP-Based Framework for Parallel and Distributed Feature Selection

Research paper thumbnail of Intelligent Car Park Routeing for Road Traffic

Research paper thumbnail of An Evaluation of Classification and Outlier Detection Algorithms

arXiv (Cornell University), May 2, 2018

Research paper thumbnail of Intelligent Decision Support using Pattern Matching

Research paper thumbnail of Discretisation of Data in a Binary Neural k-Nearest Neighbour Algorithm

Research paper thumbnail of Optimising Activation of Bus Pre-signals

Research paper thumbnail of A computationally efficient method for online identification of traffic incidents and network equipment failures

Research paper thumbnail of On the use of AI for Generation of Functional Music to Improve Mental Health

Frontiers in artificial intelligence, Nov 19, 2020

Research paper thumbnail of A Psychometric Evaluation of Emotional Responses to Horror Music

Journal of The Audio Engineering Society, Mar 10, 2019

Research paper thumbnail of Time to Die 2: Improved in-game death prediction in Dota 2

Machine learning with applications, Jun 1, 2023

Research paper thumbnail of Sensors and Data in Mobile Robotics for Localisation

IGI Global eBooks, Oct 14, 2022

Research paper thumbnail of Integrating Information Retrieval & Neural Networks

Research paper thumbnail of A Strategic Roadmap for Business Model Change for the Video-games Industry

Research paper thumbnail of An evaluation of standard retrieval algorithms and a weightless neural approach

In this paper we evaluate a selection of data retrieval algorithms for storage efficiency, retrie... more In this paper we evaluate a selection of data retrieval algorithms for storage efficiency, retrieval speed and partial matching capabilities using a large Information Retrieval dataset. We evaluate standard data structures, for example inverted file lists and hash tables, but also a novel binary neural network that incorporates: single-epoch training, superimposed coding and associative matching in a binary matrix data structure. We identify the strengths and weaknesses of the approaches. From our evaluation, the novel neural network approach is superior with respect to training speed and partial match retrieval time. From the results, we make recommendations for the appropriate usage of the novel neural approach.

Research paper thumbnail of Wireless Sensor Networks for Condition Monitoring in the Railway Industry: A Survey

IEEE Transactions on Intelligent Transportation Systems, Jun 1, 2015

Research paper thumbnail of A binary neural decision table classifier

Neurocomputing, Oct 1, 2006

Research paper thumbnail of Time to Die: Death Prediction in Dota 2 using Deep Learning

arXiv (Cornell University), May 21, 2019

Research paper thumbnail of Hadoop neural network for parallel and distributed feature selection

Neural Networks, Jun 1, 2016

Research paper thumbnail of A comparison of standard spell checking algorithms and a novel binary neural approach

IEEE Transactions on Knowledge and Data Engineering, Sep 1, 2003

Research paper thumbnail of AI and Automatic Music Generation for Mindfulness

Research paper thumbnail of A HADOOP-Based Framework for Parallel and Distributed Feature Selection

Research paper thumbnail of Intelligent Car Park Routeing for Road Traffic

Research paper thumbnail of An Evaluation of Classification and Outlier Detection Algorithms

arXiv (Cornell University), May 2, 2018

Research paper thumbnail of Intelligent Decision Support using Pattern Matching

Research paper thumbnail of Discretisation of Data in a Binary Neural k-Nearest Neighbour Algorithm

Research paper thumbnail of Optimising Activation of Bus Pre-signals

Research paper thumbnail of A computationally efficient method for online identification of traffic incidents and network equipment failures