Scientific Publications in Information and Communication Technology: Recent submissions
Now showing items 141-160 of 710
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Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation
(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 ... -
Environment Sound Classification using Multiple Feature Channels and Attention based Deep Convolutional Neural Network
(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 ... -
The Hierarchical Discrete Pursuit Learning Automaton: A Novel Scheme With Fast Convergence and Epsilon-Optimality
(Peer reviewed; Journal article, 2022)Since the early 1960s, the paradigm of learning automata (LA) has experienced abundant interest. Arguably, it has also served as the foundation for the phenomenon and field of reinforcement learning (RL). Over the decades, ... -
Robust Active Learning Multiple Fault Diagnosis of PMSM Drives with Sensorless Control under Dynamic Operations and Imbalanced Datasets
(Peer reviewed; Journal article, 2022)This paper proposes an active learning scheme to detect multiple faults in permanent magnet synchronous motors in dynamic operations without using historical labelled faulty training data. The proposed method combines the ... -
Knowledge Mobilization in Agile Information Systems Projects: A Literature Analysis
(Proceedings of the European Conference on Knowledge Management;1, Chapter; Conference object, 2022)This study focuses on how knowledge is mobilized in agile information systems (IS) projects. One crucial success factor of those projects is to mobilize knowledge through different knowledge management processes. It is ... -
Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise
(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 ... -
Reinforcement Learning based Fault-Tolerant Routing Algorithm for Mesh based NoC and its FPGA Implementation
(Peer reviewed; Journal article, 2022)Network-on-Chip (NoC) has emerged as the most promising on-chip interconnection framework in Multi-Processor System-on-Chips (MPSoCs) due to its efficiency and scalability. In the deep submicron level, NoCs are vulnerable ... -
Sorterius - An augmented reality app for encouraging outdoor physical activity for people with intellectual disabilities
(Peer reviewed; Journal article, 2022)Many with intellectual disabilities (ID) have difficulties adhering to current physical activity guidelines. The goal of this study was to develop a mobile app for assisting people with ID to be more physically active. We ... -
MapAI: Precision in BuildingSegmentation
(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 ... -
Reinforcement learning with intrinsic affinity for personalized prosperity management
(Journal article; Peer reviewed, 2022)The purpose of applying reinforcement learning (RL) to portfolio management is commonly the maximization of profit. The extrinsic reward function used to learn an optimal strategy typically does not take into account any ... -
Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples
(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 ... -
Reinforcement Learning Your Way : Agent Characterization through Policy Regularization
(Journal article; Peer reviewed, 2022)The increased complexity of state-of-the-art reinforcement learning (RL) algorithms has resulted in an opacity that inhibits explainability and understanding. This has led to the development of several post hoc explainability ... -
Towards Responsible AI for Financial Transactions
(Chapter; Peer reviewed, 2020)The application of AI in finance is increasingly dependent on the principles of responsible AI. These principles-explainability, fairness, privacy, accountability, transparency and soundness form the basis for trust in ... -
Clustering in Recurrent Neural Networks for Micro-Segmentation using Spending Personality
(Chapter; Peer reviewed, 2021)Customer segmentation has long been a productive field in banking. However, with new approaches to traditional problems come new opportunities. Fine-grained customer segments are notoriously elusive and one method of ... -
Greenfield FDI attractiveness index: a machine learning approach
(Peer reviewed; Journal article, 2022) -
Simulation-Supported Wargaming for Assessing Force Structures
(Peer reviewed; Journal article, 2022)Wargaming is a key activity for gaining deeper insight into the strengths and weaknesses of future force structures in the course of their development and assessment. For more than a decade, the Norwegian Defence Research ... -
Moving enterprise resource planning (ERP) systems to the cloud: the challenge of infrastructural embeddedness
(Peer reviewed; Journal article, 2020)Cloud enterprise resource planning (ERP) solutions allow organizations to support and coordinate key business processes by leveraging virtualization. Nevertheless, moving ERPs to the cloud is not straightforward, and ... -
An Efficient and Secure Energy Trading Approach with Machine Learning Technique and Consortium Blockchain
(Peer reviewed; Journal article, 2022)In this paper, a secure energy trading mechanism based on blockchain technology is proposed. The proposed model deals with energy trading problems such as insecure energy trading and inefficient charging mechanisms for ... -
Effectively Predicting the Presence of Coronary Heart Disease Using Machine Learning Classifiers
(Peer reviewed; Journal article, 2022)Coronary heart disease is one of the major causes of deaths around the globe. Predicating a heart disease is one of the most challenging tasks in the field of clinical data analysis. Machine learning (ML) is useful in ... -
Malware Detection in Internet of Things (IoT) Devices Using Deep Learning
(Peer reviewed; Journal article, 2022)Internet of Things (IoT) devices usage is increasing exponentially with the spread of the internet. With the increasing capacity of data on IoT devices, these devices are becoming venerable to malware attacks; therefore, ...