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231
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Decision-based scenario clustering for decision-making under uncertainty
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Hewitt, Mike;
Ortmann, Janosch;
Rei, Walter;
;
(Annals of operations research,
v.315,
2022,
pp.747-771)
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232
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A reinterpretation of set differential equations as differential equations in a Banach space
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Rasmussen, Martin;
Rieger, Janosch;
Webster, Kevin;
;
(Proceedings. Section A, Mathematics,
v.148,
2018,
pp.429-446)
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233
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Coupling Derivation of Optimal-Order Central Moment Bounds in Exponential Last-Passage Percolation
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Emrah, Elnur;
Georgiou, Nicos;
Ortmann, Janosch;
;
(Journal of statistical physics,
v.192,
2025,
pp.24)
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234
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Exact formulas for random growth with half-flat initial data
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Ortmann, Janosch;
Quastel, Jeremy;
Remenik, Daniel;
;
(The Annals of applied probability : an official journal of the Institute of Mathematical Statistics,
v.26,
2016,
)
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235
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On the existence of funneled orientations for classes of rooted phylogenetic networks
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Dö
cker, Janosch;
Linz, Simone;
;
(Theoretical computer science,
v.1023,
2025,
pp.114908)
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236
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Super-resolution imaging to reveal the nanostructure of tripartite synapses
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Aleksejenko, Natalija;
Heller, Janosch
P.;
School of Biotechnology and National Institute for Cellular Biotechnology (NICB), Dublin City University, Glasnevin, Ireland;
School of Biotechnology and National Institute for Cellular Biotechnology (NICB), Dublin City University, Glasnevin, Ireland;
(Neuronal signaling,
v.5,
2021,
pp.NS20210003)
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237
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Networked Pantheon: a Relational Database of Globally Famous People
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Beytía Pablo;
Schobin Janosch;
;
(,
v.,
2018,
)
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238
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Data assimilation finite element method for the linearized Navier-Stokes equations with higher order polynomial approximation
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Burman, Erik;
Garg, Deepika;
Preuss, Janosch;
;
(ESAIM. ESAIM. Mathematical modelling and numerical analysis,
v.58,
2024,
pp.223-245)
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239
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Kindheit und soziale Ungleichheit in den langen 1970er Jahren : Einleitung
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Kö
ssler, Till;
Steuwer, Janosch;
Martin-Luther-Universitä
t Halle-Wittenberg Institut fü
r Pä
dagogik Franckeplatz 1 06110 Halle (Saale) Deutschland;
Universitä
t Zü
rich Forschungsstelle fü
r Sozial- und Wirtschaftsgeschichte Rä
mistraße 64 8001 Zü
rich Schweiz;
(Geschichte und Gesellschaft,
v.46,
2020,
pp.183-199)
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240
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Continuous Learning of Deep Neural Networks to Improve Forecasts for Regional Energy Markets
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He, Yujiang;
Henze, Janosch;
Sick, Bernhard;
;
(IFAC-papersonline,
v.53,
2020,
pp.12175-12182)