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24 Publications

2023 | Journal Article | IST-REx-ID: 14449 | OA
Advancing microbiome research with machine learning: Key findings from the ML4Microbiome COST action
D’Elia D, Truu J, Lahti L, Berland M, Papoutsoglou G, Ceci M, Zomer A, Lopes MB, Ibrahimi E, Gruca A, Nechyporenko A, Frohme M, Klammsteiner T, Pau ECDS, Marcos-Zambrano LJ, Hron K, Pio G, Simeon A, Suharoschi R, Moreno-Indias I, Temko A, Nedyalkova M, Apostol ES, Truică CO, Shigdel R, Telalović JH, Bongcam-Rudloff E, Przymus P, Jordamović NB, Falquet L, Tarazona S, Sampri A, Isola G, Pérez-Serrano D, Trajkovik V, Klucar L, Loncar-Turukalo T, Havulinna AS, Jansen C, Bertelsen RJ, Claesson MJ. 2023. Advancing microbiome research with machine learning: Key findings from the ML4Microbiome COST action. Frontiers in Microbiology. 14, 1257002.
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
2022 | Conference Abstract | IST-REx-ID: 12894 | OA
Where is the sweet spot? A procurement story of general purpose compute nodes
A. Schlögl, A. Hornoiu, S. Elefante, S. Stadlbauer, in:, ASHPC22 - Austrian-Slovenian HPC Meeting 2022, EuroCC Austria c/o Universität Wien, 2022, p. 7.
[Published Version] View | Files available | DOI
 
2021 | Conference Abstract | IST-REx-ID: 12909 | OA
Managing software on a heterogenous HPC cluster
A. Schlögl, S. Elefante, A. Hornoiu, S. Stadlbauer, in:, ASHPC21 – Austrian-Slovenian HPC Meeting 2021, University of Ljubljana, 2021, p. 5.
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 
2021 | Journal Article | IST-REx-ID: 9329 | OA
MOD: A novel machine-learning optimal-filtering method for accurate and efficient detection of subthreshold synaptic events in vivo
X. Zhang, A. Schlögl, D.H. Vandael, P.M. Jonas, Journal of Neuroscience Methods 357 (2021).
[Published Version] View | Files available | DOI | WoS
 
2021 | Journal Article | IST-REx-ID: 15285 | OA
The history and challenges of SCP-ECG: The standard communication protocol for computer-assisted electrocardiography
P. Rubel, J. Fayn, P.W. Macfarlane, D. Pani, A. Schlögl, A. Värri, Hearts 2 (2021) 384–409.
[Published Version] View | Files available | DOI
 
2021 | Scientific Software | IST-REx-ID: 10110 | OA View | Files available | DOI
 
2020 | Book (Editor) | IST-REx-ID: 7474 | OA
Austrian High-Performance-Computing meeting (AHPC2020)
A. Schlögl, J. Kiss, S. Elefante, eds., Austrian High-Performance-Computing Meeting (AHPC2020), IST Austria, Klosterneuburg, Austria, 2020.
[Published Version] View | Files available | DOI
 
2020 | Journal Article | IST-REx-ID: 8261 | OA
Selective routing of spatial information flow from input to output in hippocampal granule cells
X. Zhang, A. Schlögl, P.M. Jonas, Neuron 107 (2020) 1212–1225.
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
2019 | Conference Abstract | IST-REx-ID: 12901 | OA
Is Debian suitable for running an HPC Cluster?
A. Schlögl, J. Kiss, S. Elefante, in:, AHPC19 - Austrian HPC Meeting 2019 , Institut für Mathematik und wissenschaftliches Rechnen der Universität Graz, 2019, p. 25.
[Published Version] View | Files available | Download Published Version (ext.)
 
2017 | Conference Paper | IST-REx-ID: 630 | OA
Biosignals standards and FHIR: The way to go
S. Sauermann, V. David, A. Schlögl, R. Egelkraut, M. Frohner, B. Pohn, P. Urbauer, A. Mense, in:, IOS Press, 2017, pp. 356–362.
[Published Version] View | Files available | DOI
 

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