Blar i Scientific Publications in Information and Communication Technology på forfatter "Omlin, Christian Walter Peter"

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    • Balancing Profit, Risk, and Sustainability for Portfolio Management 

      Maree, Charl; Omlin, Christian Walter Peter (Chapter; Peer reviewed, 2022)
      Stock portfolio optimization is the process of continuous reallocation of funds to a selection of stocks. This is a particularly well-suited problem for reinforcement learning, as daily rewards are compounding and objective ...

    • Can Interpretable Reinforcement Learning Manage Prosperity Your Way? 

      Maree, Charl; Omlin, Christian Walter Peter (Journal article; Peer reviewed, 2022)
      Personalisation of products and services is fast becoming the driver of success in banking and commerce. Machine learning holds the promise of gaining a deeper understanding of and tailoring to customers’ needs and ...

    • Clustering in Recurrent Neural Networks for Micro-Segmentation using Spending Personality 

      Maree, Charl; Omlin, Christian Walter Peter (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 ...

    • CNN-ViT Supported Weakly-Supervised Video Segment Level Anomaly Detection 

      Sharif, Md Haidar; Lei, Jiao; Omlin, Christian Walter Peter (Peer reviewed; Journal article, 2023)
      Video anomaly event detection (VAED) is one of the key technologies in computer vision for smart surveillance systems. With the advent of deep learning, contemporary advances in VAED have achieved substantial success. ...

    • Deep Crowd Anomaly Detection by Fusing Reconstruction and Prediction Networks 

      Sharif, Md Haidar; Lei, Jiao; Omlin, Christian Walter Peter (Peer reviewed; Journal article, 2023)
      Abnormal event detection is one of the most challenging tasks in computer vision. Many existing deep anomaly detection models are based on reconstruction errors, where the training phase is performed using only videos of ...

    • Estimation of Wind Turbine Performance Degradation with Deep Neural Networks 

      Mathew, Manuel Sathyajith; Kandukuri, Surya Teja; Omlin, Christian Walter Peter (Journal article; Peer reviewed, 2022)
      In this paper, we estimate the age-related performance degradation of a wind turbine working under Norwegian environment, based on a deep neural network model. Ten years of high-resolution operational data from a 2 MW wind ...

    • Reinforcement learning with intrinsic affinity for personalized prosperity management 

      Maree, Charl; Omlin, Christian Walter Peter (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 ...

    • Reinforcement Learning Your Way : Agent Characterization through Policy Regularization 

      Maree, Charl; Omlin, Christian Walter Peter (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 ...

    • SleepXAI: An explainable deep learning approach for multi-class sleep stage identification 

      Dutt, Micheal; Redhu, Surender; Goodwin, Morten; Omlin, Christian Walter Peter (Peer reviewed; Journal article, 2022)
      Extensive research has been conducted on the automatic classification of sleep stages utilizing deep neural networks and other neurophysiological markers. However, for sleep specialists to employ models as an assistive ...

    • Spatio-Temporal Anomaly Detection with Graph Networks for Data Quality Monitoring of the Hadron Calorimeter 

      Asres, Mulugeta Weldezgina; Omlin, Christian Walter Peter; Wang, Long; Yu, David; Parygin, Pavel; Dittmann, Jay; Karapostoli, Georgia; Seidel, Markus; Venditti, Rosamaria; Lambrecht, Luka; Usai, Emanuele; Ahmad, Muhammad; Menendez, Javier Fernandez (Peer reviewed; Journal article, 2023)
      The Compact Muon Solenoid (CMS) experiment is a general-purpose detector for high-energy collision at the Large Hadron Collider (LHC) at CERN. It employs an online data quality monitoring (DQM) system to promptly spot and ...

    • Towards Responsible AI for Financial Transactions 

      Maree, Charl; Modal, Jan Erik; Omlin, Christian Walter Peter (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 ...