Istituto di sistemi informatici (SYS)
Pubblicazioni
Articolo pubblicato in rivista scientifica (9)
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Eftekhari A., Gaedke-Merzhäuser L., Pasadakis D., Bollhöfer M., Scheidegger S., Schenk O. (2024)
Algorithm XXX: Sparse Precision Matrix Estimation With SQUIC, ACM Transactions on Mathematical Software:1-23
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Vecchi E., Kardoš J., Lechekhab M., Waechter A., Horenko I., Schenk O. (2024)
Structure-exploiting interior-point solver for high-dimensional entropy-sparsified regression learning, Journal of Computational Science:1-30
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Vecchi E., Kardoš J., Lechekhab M., Waechter A., Horenko I., Schenk O. (2024)
Structure-exploiting interior-point solver for high-dimensional entropy-sparsified regression learning, Journal of Computational Science:1-30
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Pasadakis D., Bollhoefer M., Schenk O. (2023)
Sparse Quadratic Approximation for Graph Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, 45:11256-11269
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Kardoš J., Kourounis D., Schenk O. (2022)
BELTISTOS: A robust interior point method for large-scale optimal power flow problems, Electric Power Systems Research, 212:1-31
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Eftekhari A., Pasadakis D., Scheidegger S., Bollhoefer M., Schenk O. (2021)
Block-Enhanced Precision Matrix Estimation for Large-Scale Datasets, Journal of Computational Science, 53:1-39
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Bollhöfer M., Schenk O., Verbosio F. (2021)
High Performance Block Incomplete LU Factorization, Applied Numerical Mathematics, 162:265-282
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Pasadakis D., Alappat C. L., Schenk O., Wellein G. (2021)
Multiway p-spectral graph cuts on Grassmann manifolds, Machine Learning:1-42
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van Niekerk J., Bakka H., Rue H. ., Schenk O. (2021)
New frontiers in Bayesian modeling using the INLA package in R, Journal of Statistical Software, 100 (2):1-28
Contributo in atti di conferenza (5)
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Holt T. A. B., Abhyankar S. ., Kuruganti T., Schenk O., Peles S. (2024)
Data-Driven Unit Commitment Refinement - a Scalable Approach for Complex Modern Power Grids. HICSS 2024. The Hawaii International Conference on System Sciences. University of Hawaii. January 2-6, 2024
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Schmidt J. ., Pasadakis D., Sathe M., Schenk O. (2024)
GAMLNet: a graph based framework for the detection of money laundering. IEEE SDS24. IEEE. IEEE Swiss Conference on Data Science (SDS). The Circle Convention Center, Zurich Airport. May 30 – 31, 2024
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Jami J., Kardoš J., Schenk O., Koestler H. (2023)
AI Driven Near Real-time Locational Marginal Pricing Method: A Feasibility and Robustness Study. ISGT 2023. Innovative Smart Grid Technologies Conference. Université Grenoble Alpes, France. October 23rd-26th, 2023
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Pasadakis D., Schenk O., Vlacic V. ., Yzelman A. J. (2023)
Nonlinear Spectral Clustering with C++ GraphBLAS. IEEE HPEC 2023. IEEE. 27th Annual IEEE High Performance Extreme Computing Conference. Virtual. 25 - 29 September 2023
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Holt T. A. B., Kardoš J., Fazio V., Fazio L., Spazzini F. ., Schenk O. (2021)
High-Performance Data Analytics Techniques for Power Markets Simulation. SEST 2021. International Conference on Smart Energy Systems and Technologies 2021. Vaasa, Finland. September 6-8, 2021