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Enhet: Institutt for datavitenskap og analyse (BI)   Underkategori: Vitenskapelig artikkel   Underkategori: Vitenskapelig oversiktsartikkel/review   Underkategori: Vitenskapelig antologi/Konferanseserie   Underkategori: Vitenskapelig monografi   Underkategori: Vitenskapelig Kapittel/Artikkel/Konferanseartikkel   Alle publ. kanaler

Viser treff 1-50 av 59 << Forrige 1 2    Neste >>

2024
1 Lee, Adam; Mesters, Geert.
Locally robust inference for non-Gaussian linear simultaneous equations models. Journal of Econometrics 2024 ;Volum 240.(1) s. -
BI Untitled
 
2 Moss, Jonas.
Measures of Agreement with Multiple Raters: Fréchet Variances and Inference. Psychometrika 2024
BI Untitled
 
2023
3 Al-Bataineh, Omar; Moonen, Leon; Vidziunas, Linas.
Extending the range of bugs that automated program repair can handle. Journal of Systems and Software 2023 ;Volum 209. s. -
BI Untitled
 
4 Andrade Mancisidor, Rogelio; Kampffmeyer, Michael Christian; Aas, Kjersti; Jenssen, Robert.
Discriminative multimodal learning via conditional priors in generative models. Neural Networks 2023 ;Volum 169. s. 417-430
UiT BI NR Untitled
 
5 Asimakopoulos, Stylianos; Lorusso, Marco; Ravazzolo, Francesco.
A Bayesian DSGE approach to modelling cryptocurrency. Review of economic dynamics 2023 s. -
BI Untitled
 
6 Baltodano López, Ovielt; Bulfone, Giacomo; Casarin, Roberto; Ravazzolo, Francesco.
Modeling Corporate CDS Spreads Using Markov Switching Regressions. Studies in Nonlinear Dynamics & Econometrics 2023 s. -
BI Untitled
 
7 Bashiri Behmiri, Niaz; Fezzi, Carlo; Ravazzolo, Francesco.
Incorporating air temperature into mid-term electricity load forecasting models using time-series regressions and neural networks. Energy 2023 ;Volum 278. s. -
BI Untitled
 
8 Billé, Anna Gloria; Tomelleri, Alessio; Ravazzolo, Francesco.
Forecasting regional GDPs: a comparison with spatial dynamic panel data models. Spatial Economic Analysis 2023 s. -
BI Untitled
 
9 Casarin, Roberto; Grassi, Stefano; Ravazzolo, Francesco; van Dijk, Herman K..
A flexible predictive density combination for large financial data sets in regular and crisis periods. Journal of Econometrics 2023 s. -
BI Untitled
 
10 Durante, F.; Gatto, A.; Ravazzolo, Francesco.
Understanding relationships with the Aggregate Zonal Imbalance using copulas. Statistical Methods & Applications 2023 s. -
BI Untitled
 
11 Foroni, Claudia; Ravazzolo, Francesco; Rossini, Luca.
Are low frequency macroeconomic variables important for high frequency electricity prices?. Economic Modelling 2023 ;Volum 120. s. -
BI Untitled
 
12 Fronzetti Colladon, Andrea; Grippa, Francesca; Guardabascio, Barbara; Costante, Gabriele; Ravazzolo, Francesco.
Forecasting consumer confidence through semantic network analysis of online news. Scientific Reports 2023 ;Volum 13.(1) s. -
BI Untitled
 
13 Galdi, Giulio; Casarin, Roberto; Ferrari, Davide; Fezzi, Carlo; Ravazzolo, Francesco.
Nowcasting industrial production using linear and non-linear models of electricity demand. Energy Economics 2023 ;Volum 126. s. -
BI Untitled
 
14 Grishina, Anastasiia; Hort, Max; Moonen, Leon.
The EarlyBIRD Catches the Bug: On Exploiting Early Layers of Encoder Models for More Efficient Code Classification. I: ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. Association for Computing Machinery (ACM) 2023 ISBN 979-8-4007-0327-0. s. 895-907
BI Untitled
 
15 Haugsdal, Espen; Aune, Erlend; Ruocco, Massimiliano.
Persistence Initialization: a novel adaptation of the Transformer architecture for time series forecasting. Applied intelligence (Boston) 2023 ;Volum 53. s. 26781-26796
SINTEF NTNU BI Untitled
 
16 Hort, Max; Grishina, Anastasiia; Moonen, Leon.
An Exploratory Literature Study on Sharing and Energy Use of Language Models for Source Code. I: Proceedings of the 2023 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM). IEEE conference proceedings 2023 ISBN 978-1-6654-5223-6.
BI UiO Untitled
 
17 Høst, Anders Mølmen; Lison, Pierre; Moonen, Leon.
Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database. I: Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa). University of Tartu 2023 ISBN 978-99-1621-999-7. s. 386-391
BI NR UiO Untitled
 
18 Iwaszkiewicz-Eggebrecht, Elzbieta; Granqvist, Emma; Buczek, Mateusz; Prus, Monika; Kudlicka, Jan; Roslin, Tomas; Tack, Ayco J. M.; Andersson, Anders F.; Miraldo, Andreia; Ronquist, Fredrik; Łukasik, Piotr.
Optimizing insect metabarcoding using replicated mock communities. Methods in Ecology and Evolution 2023 ;Volum 14.(4) s. 1130-1146
BI Untitled
 
19 Juelsrud, Ragnar Enger; Larsen, Vegard Høghaug.
Macroeconomic uncertainty and bank lending. Economics Letters 2023 ;Volum 225. s. -
BI Untitled
 
20 Langguth, Johannes; Schroeder, Daniel Thilo; Filkukova, Petra; Brenner, Stefan; Phillips, Jesper; Pogorelov, Konstantin.
COCO: an annotated Twitter dataset of COVID-19 conspiracy theories. Journal of Computational Social Science (JCSS) 2023 s. -
BI OSLOMET Untitled
 
21 Larsen, Vegard Høghaug; Maffei-Faccioli, Nicolo; Pagenhardt, Laura.
Where do they care? The ECB in the media and inflation expectations. Applied Economics Letters 2023 s. -
BI Untitled
 
22 Lee, Daesoo; Malacarne, Sara; Aune, Erlend.
Vector Quantized Time Series Generation with a Bidirectional Prior Model. Proceedings of Machine Learning Research (PMLR) 2023 ;Volum 206. s. 7665-7693
NTNU BI Untitled
 
23 Lee, Daesoo; Ovanger, Oscar; Eidsvik, Jo; Aune, Erlend; Skauvold, Jacob; Hauge, Ragnar.
Latent Diffusion Model for Conditional Reservoir Facies Generation. arXiv 2023
BI NTNU NR Untitled
 
24 Liventsev, Vadim; Grishina, Anastasiia; Härmä, Aki; Moonen, Leon.
Fully Autonomous Programming with Large Language Models. I: GECCO '23: Proceedings of the Genetic and Evolutionary Computation Conference. Association for Computing Machinery (ACM) 2023 ISBN 979-8-4007-0119-1. s. 1146-1155
BI UiO Untitled
 
25 Malik, Sehrish; Naqvi, Moeen; Moonen, Leon.
CHESS: A Framework for Evaluation of Self-adaptive Systems based on Chaos Engineering. I: SEAMS '23: Proceedings of the 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems. IEEE (Institute of Electrical and Electronics Engineers) 2023 ISBN 978-1-4503-9305-8. s. -
BI Untitled
 
26 Miroshnychenko, Ivan; Vocalelli, Giorgio; De Massis, Alfredo; Grassi, Stefano; Ravazzolo, Francesco.
The COVID-19 pandemic and family business performance. Small Business Economics 2023 s. -
BI Untitled
 
27 Moss, Jonas.
Measuring Agreement Using Guessing Models and Knowledge Coefficients. Psychometrika 2023 s. -
BI Untitled
 
28 Moss, Jonas; Grønneberg, Steffen.
Partial Identification of Latent Correlations with Ordinal Data. Psychometrika 2023 ;Volum 88. s. 241-252
BI Untitled
 
2022
29 Andrade Mancisidor, Rogelio; Kampffmeyer, Michael; Aas, Kjersti; Jenssen, Robert.
Generating customer's credit behavior with deep generative models. Knowledge-Based Systems 2022 ;Volum 245. s. -
BI UiT NR Untitled
 
30 Avesani, Diego; Zanfei, Ariele; Di Marco, Nicola; Galletti, Andrea; Ravazzolo, Francesco; Righetti, Maurizio; Majone, Bruno.
Short-term hydropower optimization driven by innovative time-adapting econometric model. Applied Energy 2022 ;Volum 310. s. -
BI Untitled
 
31 Billé, Anna Gloria; Gianfreda, Angelica; Del Grosso, Filippo; Ravazzolo, Francesco.
Forecasting electricity prices with expert, linear, and nonlinear models. International Journal of Forecasting 2022 s. -
BI Untitled
 
32 Durante, Fabrizio; Gianfreda, Angelica; Ravazzolo, Francesco; Rossini, Luca.
A multivariate dependence analysis for electricity prices, demand and renewable energy sources. Information Sciences 2022 ;Volum 590. s. 74-89
BI Untitled
 
33 Fronzetti Colladon, Andrea; Grassi, Stefano; Ravazzolo, Francesco; Violante, Francesco.
Forecasting financial markets with semantic network analysis in the COVID-19 crisis. Journal of Forecasting 2022 s. -
BI Untitled
 
34 Gianfreda, Angelica; Ravazzolo, Francesco; Rossini, Luca.
Large Time-Varying Volatility Models for Hourly Electricity Prices*. Oxford Bulletin of Economics and Statistics 2022 s. -
BI Untitled
 
35 Hougen, Conrad D.; Kaplan, Lance M.; Ivanovska, Magdalena; Cerutti, Federico; Mishra, Kumar Vijay; Hero III, Alfred O..
SOLBP: Second-Order Loopy Belief Propagation for Inference in Uncertain Bayesian Networks. I: 2022 25th International Conference on Information Fusion - FUSION. IEEE (Institute of Electrical and Electronics Engineers) 2022 ISBN 978-1-7377497-2-1.
BI Untitled
 
36 Huber, Andreas; Schröder, Daniel Thilo; Pogorelov, Konstantin; Griwodz, Carsten; Langguth, Johannes.
A Streaming System for Large-scale Temporal Graph Mining of Reddit Data. I: 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW 2022). IEEE conference proceedings 2022 ISBN 9781665497480. s. 1153-1162
UiO BI Untitled
 
37 Iacopini, Matteo; Ravazzolo, Francesco; Rossini, Luca.
Proper Scoring Rules for Evaluating Density Forecasts with Asymmetric Loss Functions. Journal of business & economic statistics 2022 s. -
BI Untitled
 
38 Ivanovska, Magdalena; Slavkovik, Marija.
Probabilistic Judgement Aggregation by Opinion Update. I: Modeling Decisions for Artificial Intelligence 19th International Conference, MDAI 2022, Sant Cugat, Spain, August 30 – September 2, 2022, Proceedings. Springer 2022 ISBN 978-3-031-13447-0. s. 26-37
UiB BI Untitled
 
39 Langguth, Johannes; Filkukova, Petra; Brenner, Stefan; Schroeder, Daniel Thilo; Pogorelov, Konstantin.
COVID-19 and 5G conspiracy theories: long term observation of a digital wildfire. International Journal of Data Science and Analytics (JDSA) 2022 s. -
HINN BI Untitled
 
40 Langguth, Johannes; Tumanis, Aigar; Azad, Ariful.
Incremental Clustering Algorithms for Massive Dynamic Graphs. I: 2021 International Conference on Data Mining Workshops (ICDMW). IEEE conference proceedings 2022 ISBN 978-1-6654-2427-1. s. 360-369
UiO BI Untitled
 
41 Lee, Daesoo; Aune, Erlend; Langet, Nadege; Eidsvik, Jo.
Ensemble and Self-supervised Learning for Improved Classification of Seismic Signals from the Åknes Rockslope. Mathematical Geosciences 2022 s. -
NTNU NORSAR BI Untitled
 
42 Lundén, Daniel; Öhman, Joey; Kudlicka, Jan; Senderov, Viktor; Ronquist, Fredrik; Broman, David.
Compiling Universal Probabilistic Programming Languages with Efficient Parallel Sequential Monte Carlo Inference. I: Programming Languages and Systems (31st European Symposium on Programming, ESOP 2022). Springer 2022 ISBN 978-3-030-99335-1. s. 29-56
BI Untitled
 
43 Moss, Jonas.
Infinite diameter confidence sets in Hedges’ publication bias model. Journal of the Korean Statistical Society 2022 s. -
BI Untitled
 
44 Stoltenberg, Emil Aas; Mykland, Per A.; Zhang, Lan.
A CLT FOR SECOND DIFFERENCE ESTIMATORS WITH AN APPLICATION TO VOLATILITY AND INTENSITY. Annals of Statistics 2022 ;Volum 50.(4) s. 2072-2095
BI Untitled
 
45 Straume, Hans-Martin; Asche, Frank; Oglend, Atle; Abrahamsen, Eirik Bjorheim; Birkenbach, Anna M.; Langguth, Johannes; Lanquepin, Guillaume; Roll, Kristin Helen.
Impacts of Covid-19 on Norwegian salmon exports: A firm-level analysis. Aquaculture 2022 ;Volum 561. s. -
BI UIS UiB USN Untitled
 
46 Yang, Wei-Ting; Reis, Marco; Borodin, Valeria; Juge, Michel; Roussy, Agnès.
An interpretable unsupervised Bayesian network model for fault detection and diagnosis. Control Engineering Practice 2022 ;Volum 127. s. -
BI Untitled
 
2021
47 Agudze, Komla M.; Billio, Monica; Casarin, Roberto; Ravazzolo, Francesco.
Markov switching panel with endogenous synchronization effects. Journal of Econometrics 2021 s. 1-18
BI Untitled
 
48 Burchard, Luk; Cai, Xing; Langguth, Johannes.
iPUG for Multiple Graphcore IPUs: Optimizing Performance and Scalability of Parallel Breadth-First Search. I: 2021 IEEE 28th International Conference on High Performance Computing, Data, and Analytics (HiPC). IEEE 2021 ISBN 978-1-6654-1016-8. s. 162-171
BI UiO Untitled
 
49 Burchard, Luk; Moe, Johannes Sellæg; Schroeder, Daniel Thilo; Pogorelov, Konstantin; Langguth, Johannes.
iPUG: Accelerating Breadth-First Graph Traversals Using Manycore Graphcore IPUs. I: High Performance Computing. 36th International Conference, ISC High Performance 2021, Virtual Event, June 24 – July 2, 2021, Proceedings.. Springer 2021 ISBN 978-3-030-78713-4. s. 291-309
BI UiO Untitled
 
50 Caporin, Massimiliano; Gupta, Rangan; Ravazzolo, Francesco.
Contagion between real estate and financial markets: A Bayesian quantile-on-quantile approach. The North American journal of economics and finance 2021 ;Volum 55. s. 1-12
BI Untitled
 
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