Blar i Scientific Publications in Information and Communication Technology på forfatter "Goodwin, Morten"
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FlashRL: A Reinforcement Learning Platform for Flash Games
Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (Journal article; Peer reviewed, 2017) -
Following the WCAG 2.0 techniques: Experiences from designing a WCAG 2.0 checking tool
Nietzio, Annika; Eibegger, Mandana; Goodwin, Morten; Snaprud, Mikael (Lecture Notes in Computer Science;7382, Chapter; Peer reviewed, 2012)This paper presents a conceptual analysis of how the Web Content Accessibility Guidelines (WCAG) 2.0 and its accompanying documents can be used as a basis for the implementation of an automatic checking tool and the ... -
Hierarchical Object Detection applied to Fish Species
Kalhagen, Espen Stausland; Olsen, Ørjan Langøy; Goodwin, Morten; Gupta, Aditya (Peer reviewed; Journal article, 2022)Gathering information of aquatic life is often based on timeconsuming methods utilizing video feeds. It would be beneficial to capture more information cost-effectively from video feeds. Video based object detection has ... -
Identifying unreliable sensors without a knowledge of the ground truth in deceptive environments
Yazidi, Anis; Oommen, John; Goodwin, Morten (Journal article; Peer reviewed, 2017)This paper deals with the extremely fascinating area of “fusing” the outputs of sensors without any knowledge of the ground truth. In an earlier paper, the present authors had recently pioneered a solution, by mapping ... -
Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise
Meng, Li; Goodwin, Morten; Yazidi, Anis; Engelstad, Paal (Peer reviewed; Journal article, 2022)Q-learning is one of the most well-known Reinforcement Learning algorithms. There have been tremendous efforts to develop this algorithm using neural networks. Bootstrapped Deep Q-Learning Network is amongst them. It ... -
Increasing sample efficiency in deep reinforcement learning using generative environment modelling
Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (Journal article; Peer reviewed, 2020) -
Indoor Space Classification Using Cascaded LSTM
Yadav, Rohan Kumar; Bhattarai, Bimal; Lei, Jiao; Goodwin, Morten; Granmo, Ole-Christoffer (Journal article; Peer reviewed, 2020)Indoor space classification is an important part of localization that helps in precise location extraction, which has been extensively utilized in industrial and domestic domain. There are various approaches that employ ... -
Learning Automata-based Misinformation Mitigation via Hawkes Processes
Abouzeid, Ahmed Abdulrahem Othman; Granmo, Ole-Christoffer; Webersik, Christian; Goodwin, Morten (Peer reviewed; Journal article, 2020)Mitigating misinformation on social media is an unresolved challenge, particularly because of the complexity of information dissemination. To this end, Multivariate Hawkes Processes (MHP) have become a fundamental tool ... -
MapAI: Precision in BuildingSegmentation
Jyhne, Sander; Goodwin, Morten; Andersen, Per-Arne; Oveland, Ivar; Nossum, Alexander Salveson; Ormseth, Karianne Øydegard; Ørstavik, Mathilde; Flatman, Andrew C. (Peer reviewed; Journal article, 2022)MapAI: Precision in Building Segmentation is a competition arranged with the Norwegian Artificial Intelligence Research Consortium (NORA) 1 in collaboration with Centre for Artificial Intelligence Research at the University ... -
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling
Abeyrathna, Kuruge Darshana; Bhattarai, Bimal; Goodwin, Morten; Gorji, Saeed Rahimi; Granmo, Ole-Christoffer; Lei, Jiao; Saha, Rupsa; Yadav, Rohan Kumar (Peer reviewed; Journal article, 2021)Using logical clauses to represent patterns, Tsetlin Machine (TM) have recently obtained competitive performance in terms of accuracy, memory footprint, energy, and learning speed on several benchmarks. Each TM clause votes ... -
Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation
Sharma, Jivitesh; Giri, Charul; Granmo, Ole-Christoffer; Goodwin, Morten (Journal article; Peer reviewed, 2019)Recent advances in intrusion detection systems based on machine learning have indeed outperformed other techniques, but struggle with detecting multiple classes of attacks with high accuracy. We propose a method that works ... -
Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation
Sharma, Jivitesh; Giri, Charul; Granmo, Ole-Christoffer; Goodwin, Morten (Peer reviewed; Journal article, 2019)Recent advances in intrusion detection systems based on machine learning have indeed outperformed other techniques, but struggle with detecting multiple classes of attacks with high accuracy. We propose a method that works ... -
A multi-step finite-state automaton for arbitrarily deterministic Tsetlin Machine learning
Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Shafik, Rishad; Lei, Jiao; Wheeldon, Adrian; Yakovlev, Alex; Lei, Jie; Goodwin, Morten (Peer reviewed; Journal article, 2021) -
Neuroevolution of Actively Controlled Virtual Characters - An Experiment for an Eight-Legged Character
Albrigstsen, Svein Inge; Imenes, Alexander; Goodwin, Morten; Lei, Jiao; Nunavath, Vimala (Chapter; Peer reviewed, 2018) -
On Distinguishing between Reliable and Unreliable Sensors Without a Knowledge of the Ground Truth
Yazidi, Anis; Oommen, John; Goodwin, Morten (Chapter; Peer reviewed, 2015) -
On Solving the Problem of Identifying Unreliable Sensors Without a Knowledge of the Ground Truth: The Case of Stochastic Environments
Yazidi, Anis; Oommen, John; Goodwin, Morten (Journal article; Peer reviewed, 2016)The purpose of this paper is to propose a solution to an extremely pertinent problem, namely, that of identifying unreliable sensors (in a domain of reliable and unreliable ones) without any knowledge of the ground truth. ... -
PolyACO+: a multi-level polygon-based ant colony optimisation classifier
Goodwin, Morten; Tufteland, Torry; Ødesneltvedt, Guro; Yazidi, Anis (Journal article; Peer reviewed, 2017)Ant Colony Optimisation for classification has mostly been limited to rule based approaches where artificial ants walk on datasets in order to extract rules from the trends in the data, and hybrid approaches which attempt ... -
The regression Tsetlin machine: a novel approach to interpretable nonlinear regression
Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Zhang, Xuan; Lei, Jiao; Goodwin, Morten (Peer reviewed; Journal article, 2019) -
Relative evaluation of regression tools for urban area electrical energy demand forecasting
Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten (Journal article; Peer reviewed, 2019)Load forecasting is the most fundamental application in Smart-Grid, which provides essential input to Demand Response, Topology Optimization and Abnormally Detection, facilitating the integration of intermittent clean ... -
Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation
Yadav, Rohan Kumar; Lei, Jiao; Granmo, Ole-Christoffer; Goodwin, Morten (IJCAI International Joint Conference on Artificial Intelligence, Peer reviewed; Conference object, 2022)The state-of-the-art natural language processing models have raised the bar for excellent performance on a variety of tasks in recent years. However, concerns are rising over their primitive sensitivity to distribution ...