Projects per year
Organization profile
The Machine Learning group conducts research in advancing machine learning methods and developing applications for a variety of signals and data, aiming to provide advanced AI solutions to real-world problems. The group focuses its research on learning theory and algorithms, deep learning, representation learning, learning from speech and multimodal data, and applications of machine learning.
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Network
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Profiles
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Peyman Aghabeyki
- The Technical Faculty of IT and Design - PhD Fellow
- Department of Electronic Systems - PhD Fellow
- Antennas, Propagation and Millimetre-Wave Systems - PhD Fellow
- Antennas
- Machine Learning
Person: VIP
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Peter Asbjørn Leer Bysted
- The Technical Faculty of IT and Design - Business PhD
- Department of Electronic Systems - Business PhD
- Artificial Intelligence and Sound - Business PhD
- Machine Learning
Person: VIP, External
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Deividas Eringis
- The Technical Faculty of IT and Design - PhD Fellow
- Department of Electronic Systems - PhD Fellow
- Automation & Control - PhD Fellow
- Machine Learning
- Nonlinear and Optimal Control Lab
Person: VIP
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Machine Learning Assisted Metasurface Design and Optimization for High-Performance Millimeter-Wave Transmitarray/Reflectarray Antennas.
01/11/2020 → 01/11/2023
Project: PhD Project
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Research output
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Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization
Xie, J., Ma, Z., Zhang, G., Xue, J-H., Tan, Z-H. & Guo, J., 2022, (E-pub ahead of print) In: I E E E Transactions on Pattern Analysis and Machine Intelligence.Research output: Contribution to journal › Journal article › Research › peer-review
3 Citations (Scopus) -
A family of adaptive Volterra filters based on maximum correntropy criterion for improved active control of impulsive noise
Guttikonda, G., Burra, S., Kar, A., Østergaard, J., Sooraksa, P., Mladenovic, V. & Haddad, D. B., Feb 2022, In: Circuits, Systems and Signal Processing. 41, 2, p. 1019–1037 19 p.Research output: Contribution to journal › Journal article › Research › peer-review
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A family of split kernel adaptive filtering algorithms for nonlinear stereophonic acoustic echo cancellation
Burra, S., Sankar, S., Kar, A. & Østergaard, J., 5 Jan 2022, In: Journal of Ambient Intelligence and Humanized Computing.Research output: Contribution to journal › Journal article › Research › peer-review
Activities
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IEEE Signal Processing Society Conferences Board (External organisation)
Zheng-Hua Tan (Member)
1 Jan 2022 → 31 Dec 2024Activity: Memberships › Membership of committees, commissions, boards, councils, associations, organisations, or similar
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Arash Bahari Kordabad
Rafal Wisniewski (Host)
1 Nov 2021 → 30 Jun 2022Activity: Hosting a guest lecturer
Press / Media
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Nye og sikre algoritmer skal beskytte vindmøller, energisystemer og vand-netværk mod hackerangreb
20/05/2022
1 item of Media coverage
Press/Media: Press / Media
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Sikre algoritmer skal beskytte samfundet
14/05/2022 → 16/05/2022
2 items of Media coverage
Press/Media: Press / Media
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Nye og sikre algoritmer skal beskytte vindmøller, energisystemer og vand-netværk mod hackerangreb
08/05/2022 → 10/05/2022
11 items of Media coverage
Press/Media: Press / Media