Blar i Scientific Publications in Information and Communication Technology på forfatter "Goodwin, Morten"
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A hierarchical learning scheme for solving the Stochastic Point Location problem
Yazidi, Anis; Granmo, Ole-Christoffer; Oommen, B. John; Goodwin, Morten (Lecture Notes in Computer Science;7345, Chapter; Peer reviewed, 2012)This paper deals with the Stochastic-Point Location (SPL) problem. It presents a solution which is novel in both philosophy and strategy to all the reported related learning algorithms. The SPL problem concerns the task ... -
A pattern recognition approach for peak prediction of electrical consumption
Goodwin, Morten; Yazidi, Anis (Journal article; Peer reviewed, 2016) -
A spatio-temporal probabilistic model of hazard and crowd dynamics in disasters for evacuation planning
Granmo, Ole-Christoffer; Radianti, Jaziar; Goodwin, Morten; Dugdale, Julie; Sarshar, Parvaneh; Glimsdal, Sondre; Gonzalez, Jose J. (Lecture Notes in Computer Science;7906, Chapter; Peer reviewed, 2013)Managing the uncertainties that arise in disasters – such as ship fire – can be extremely challenging. Previous work has typically focused either on modeling crowd behavior or hazard dynamics, targeting fully known ... -
Adaptive sparse representation of continuous input for tsetlin machines based on stochastic searching on the line
Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Goodwin, Morten (Peer reviewed; Journal article, 2021) -
Ant colony optimisation for planning safe escape routes
Goodwin, Morten; Granmo, Ole-Christoffer; Radianti, Jaziar; Sarshar, Parvaneh; Glimsdal, Sondre (Lecture Notes in Computer Science;7906, Chapter; Peer reviewed, 2013)An emergency requiring evacuation is a chaotic event filled with uncertainties both for the people affected and rescuers. The evacuees are often left to themselves for navigation to the escape area. The chaotic situation ... -
Ant colony optimisation-based classification using two-dimensional polygons
Goodwin, Morten; Yazidi, Anis (Peer reviewed; Journal article, 2016) -
Augmented Random Search with Artificial Neural Networks for energy cost optimization with battery control
Opalic, Sven Myrdahl; Goodwin, Morten; Lei, Jiao; Nielsen, Henrik Kofoed; Kolhe, Mohan Lal (Peer reviewed; Journal article, 2022)Intermittent renewable energy production and dynamic load must be balanced through appropriate control of integrated energy storage to account for the temporal discrepancy among power supply and demand. Intelligent control ... -
Balanced difficulty task finder: an adaptive recommendation method for learning tasks based on the concept of state of flow
Yazidi, Anis; Abolpour Mofrad, Asieh; Goodwin, Morten; Hammer, Hugo Lewi; Arntzen, Erik (Peer reviewed; Journal article, 2020) -
Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation
Olsvik, Erlend; Trinh, Christian M. D.; Knausgård, Kristian Muri; Wiklund, Arne; Sørdalen, Tonje Knutsen; Kleiven, Alf Ring; Lei, Jiao; Goodwin, Morten (Journal article; Peer reviewed, 2019) -
Causality-based Social Media Analysis for Normal Users Credibility Assessment in a Political Crisis
Abouzeid, Ahmed Abdulrahem Othman; Granmo, Ole-Christoffer; Webersik, Christian; Goodwin, Morten (Chapter; Peer reviewed, 2019) -
Deep Q-Learning With Q-Matrix Transfer Learning for Novel Fire Evacuation Environment
Sharma, Jivitesh; Andersen, Per-Arne; Granmo, Ole-Christoffer; Goodwin, Morten (Journal article; Peer reviewed, 2020) -
Development of a Simulator for Prototyping Reinforcement Learning based Autonomous Cars
Holen, Martin; Knausgård, Kristian Muri; Goodwin, Morten (Peer reviewed; Journal article, 2022)Autonomous driving is a research field that has received attention in recent years, with increasing applications of reinforcement learning (RL) algorithms. It is impractical to train an autonomous vehicle thoroughly in the ... -
Digitalization of the power business: How to make this work?
Svendsen, Arne Brufladt; Tollefsen, Trond; Gjengedal, Terje; Goodwin, Morten; Antonsen, Stian (Chapter; Peer reviewed, 2018)As a result of the digitalization of the power business in Norway and Europa, a lot of new possibilities and challenges arise. In 2014 an expert committee one outlined a proposal for the future grid company structure in ... -
Distributed Learning Automata-based S-learning scheme for classification
Goodwin, Morten; Yazidi, Anis; Jonassen, Tore Møller (Peer reviewed; Journal article, 2019) -
Distributed learning automata-based scheme for classification using novel pursuit scheme
Goodwin, Morten; Yazidi, Anis (Journal article; Peer reviewed, 2020) -
Environment Sound Classification using Multiple Feature Channels and Attention based Deep Convolutional Neural Network
Sharma, Jivitesh; Granmo, Ole-Christoffer; Goodwin, Morten (Peer reviewed; Journal article, 2020)In this paper, we propose a model for the Environment Sound Classification Task (ESC) that consists of multiple feature channels given as input to a Deep Convolutional Neural Network (CNN) with Attention mechanism. The ... -
Escape planning in realistic fire scenarios with Ant Colony Optimisation
Goodwin, Morten; Granmo, Ole-Christoffer; Radianti, Jaziar (Journal article; Peer reviewed, 2014)An emergency requiring evacuation is a chaotic event, filled with uncertainties both for the people affected and rescuers. The evacuees are often left to themselves for navigation to the escape area. The chaotic situation ... -
Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples
Meng, Li; Yazidi, Anis; Goodwin, Morten; Engelstad, Paal (Peer reviewed; Journal article, 2022)In this article, we propose a novel algorithm for deep reinforcement learning named Expert Q-learning. Expert Q-learning is inspired by Dueling Q-learning and aims to incorporate semi-supervised learning into reinforcement ... -
An Exploration of Semi-supervised Text Classification
Lien, Henrik; Biermann, Daniel; Palumbo, Fabrizio; Goodwin, Morten (Communications in Computer and Information Science;1600, Chapter; Peer reviewed, 2022)Good performance in supervised text classification is usually obtained with the use of large amounts of labeled training data. However, obtaining labeled data is often expensive and time-consuming. To overcome these ... -
Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability
Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Goodwin, Morten (Peer reviewed; Journal article, 2021)