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Christian Walter Peter Omlin

Christian Walter Peter Omlin

Professor

Institutt for informasjons- og kommunikasjonsteknologi >

 

+47 37 23 32 06

+47 932 59 144

Kontor:
A3080 ( Jon Lilletuns vei 9, Grimstad )
Kontortid:
You are welcome to stop by any time my office door is open. Otherwise, please make an appointment.

Vitenskapelige publikasjoner

  • Sharif, Md Haidar; Lei, Jiao; Omlin, Christian Walter Peter (2023). Deep Crowd Anomaly Detection by Fusing Reconstruction and Prediction Networks. Electronics. ISSN: 2079-9292. 12 (7). doi:10.3390/electronics12071517.
  • Saeed, Waddah; Omlin, Christian Walter Peter (2023). Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities. Knowledge-Based Systems. ISSN: 0950-7051. 263doi:10.1016/j.knosys.2023.110273.
  • Bounoua, Wahiba; Aftab, Muhammad Faisal; Omlin, Christian Walter Peter (2023). Online detrended fluctuation analysis and improved empirical wavelet transform for real-time oscillations detection in industrial control loops. Computers and Chemical Engineering. ISSN: 0098-1354. 172doi:10.1016/j.compchemeng.2023.108173.
  • Maree, Charl; Omlin, Christian Walter Peter (2022). Balancing Profit, Risk, and Sustainability for Portfolio Management. 2022 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr). ISBN: 978-1-6654-4234-3. IEEE conference proceedings. Konferanseartikkel.
  • Maree, Charl; Omlin, Christian Walter Peter (2022). Can Interpretable Reinforcement Learning Manage Prosperity Your Way?. AI. 3 (2). s 526 - 537. doi:10.3390/ai3020030.
  • Mathew, Manuel Sathyajith; Kandukuri, Surya Teja; Omlin, Christian Walter Peter (2022). Estimation of Wind Turbine Performance Degradation with Deep Neural Networks. Proceedings of the European Conference of the Prognostics and Health Management Society (PHME). ISSN: 2325-016X. 7 (1). s 351 - 359. doi:10.36001/phme.2022.v7i1.3328.
  • Asres, Mulugeta Weldezgina; Cummings, Grace; Khukhunaishvili, Aleko; Parygin, Pavel; Cooper, Seth I.; Yu, David; Dittmann, Jay; Omlin, Christian Walter Peter (2022). Long Horizon Anomaly Prediction in Multivariate Time Series with Causal Autoencoders. Proceedings of the European Conference of the Prognostics and Health Management Society (PHME). ISSN: 2325-016X. 7 (1). s 21 - 31. doi:10.36001/phme.2022.v7i1.3367.
  • Maree, Charl; Omlin, Christian Walter Peter (2022). Reinforcement Learning Your Way: Agent Characterization through Policy Regularization. AI. 3 (2). s 250 - 259. doi:10.3390/ai3020015.
  • Maree, Charl; Omlin, Christian Walter Peter (2022). Reinforcement learning with intrinsic affinity for personalized prosperity management. Digital Finance. ISSN: 2524-6984. doi:10.1007/s42521-022-00068-4.
  • Dutt, Micheal; Redhu, Surender; Goodwin, Morten; Omlin, Christian Walter Peter (2022). Sleep Stage Identification based on Single-Channel EEG Signals using 1-D Convolutional Autoencoders. 2022 IEEE International Conference on E-health Networking, Application & Services (HealthCom). ISBN: 978-1-6654-8016-1. IEEE conference proceedings. Konferanseartikkel. s 94 - 99.
  • Dutt, Micheal; Redhu, Surender; Goodwin, Morten; Omlin, Christian Walter Peter (2022). SleepXAI: An explainable deep learning approach for multi-class sleep stage identification. Applied intelligence (Boston). ISSN: 0924-669X. doi:10.1007/s10489-022-04357-8.
  • Vishwanath, Ajay; Bøhn, Einar Duenger; Granmo, Ole-Christoffer; Maree, Charl; Omlin, Christian Walter Peter (2022). Towards artificial virtuous agents: games, dilemmas and machine learning. AI and Ethics. ISSN: 2730-5953. doi:10.1007/s43681-022-00251-8.
  • Maree, Charl; Omlin, Christian Walter Peter (2022). Understanding Spending Behavior: Recurrent Neural Network Explanation and Interpretation. 2022 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr). ISBN: 978-1-6654-4234-3. IEEE conference proceedings. Konferanseartikkel.
  • Dutt, Micheal; Goodwin, Morten; Omlin, Christian Walter Peter (2021). Automatic Sleep Stage Identification with Time Distributed Convolutional Neural Network. Proceedings of the International Joint Conference on Neural Networks. ISSN: 2161-4393. doi:10.1109/IJCNN52387.2021.9533542.
  • Maree, Charl; Omlin, Christian Walter Peter (2021). Clustering in Recurrent Neural Networks for Micro-Segmentation using Spending Personality. IEEE Symposium Series on Computational Intelligence 2021. ISBN: 978-1-7281-9048-8. IEEE Press.
  • Asres, Mulugeta Weldezgina; Cummings, Grace; Parygin, Pavel; Khukhunaishvili, Aleko; Toms, Maria; Campbell, Alan; Cooper, Seth I.; Yu, David; Dittmann, Jay; Omlin, Christian Walter Peter (2021). Unsupervised Deep Variational Model for Multivariate Sensor Anomaly Detection. 2021 IEEE International Conference on Progress in Informatics and Computing (PIC). ISBN: 978-1-6654-2655-8. IEEE conference proceedings. Chapter. s 364 - 371.
  • Holen, Martin; Saha, Rupsa; Goodwin, Morten; Omlin, Christian Walter Peter; Sandsmark, Knut Eivind (2020). Road Detection for Reinforcement Learning Based Autonomous Car. ICISS 2020: Proceedings of the 2020 The 3rd International Conference on Information Science and System. ISBN: 978-1-4503-7725-6. ACM Publications. Chapter. s 67 - 71.
  • Maree, Charl; Modal, Jan Erik; Omlin, Christian Walter Peter (2020). Towards Responsible AI for Financial Transactions. 2020 IEEE Symposium Series on Computational Intelligence (SSCI). ISBN: 978-1-7281-2547-3. IEEE. s 16 - 21.
  • Zimudzi, Edward; Sanders, Ian; Rollings, Nicholas; Omlin, Christian Walter Peter (2019). Remote sensing of mangroves using unmanned aerial vehicles: current state and future directions. Journal of Spatial Science. ISSN: 1449-8596. doi:10.1080/14498596.2019.1627252.
  • Mathew, Manuel Sathyajith; Kandukuri, Surya Teja; Omlin, Christian Walter Peter (2023). Predicting the capacity factor of wind farms using deep neural networks for estimating age related performance degradation..
  • Mathew, Manuel Sathyajith; Kandukuri, Surya Teja; Omlin, Christian Walter Peter (2023). Predicting the capacity factor of wind farms using deep neural networks for estimating age related performance degradation..
  • Asres, Mulugeta Weldezgina; Wang, Long; Yu, David; Omlin, Christian Walter Peter (2022). Spatio-Temporal Anomaly Detection for the DQM of the CMS Experiment via Graph Networks.

Ekspertområder

I sosiale medier

Sist endret: 25.01.2023 14:01