Publikationen
-
Rosadi, Dedi; Setiawan, Ezra Putranda; Templ, Matthias; Filzmoser, Peter,
2020.
Robust covariance estimators for mean-variance portfolio optimization with transaction lots.
Operations Research Perspectives.
7(100154).
Verfügbar unter: https://doi.org/10.1016/j.orp.2020.100154
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Mansor, Kamarul; Alexandru, Ciprian; Templ, Matthias, Hrsg.,
2020.
2019 4th International Conference on Computing, Mathematics and Statistics 2019 (iCMS2019), Kedah (Malaysia), 23-24 April, 2019.
Austrian Statistical Society.
.
Verfügbar unter: https://www.ajs.or.at/index.php/ajs/issue/view/93
-
2020.
Wiesbaden:
Springer.
ISBN 978-3-658-28414-5.
Verfügbar unter: https://doi.org/10.1007/978-3-658-28415-2
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Klinkert, Andreas; Fusek, Peter; Riesen, Bruno; Berner, Roman,
2019.
Automated airport staff scheduling at Swissport International Ltd..
IFORS News.
13(4), S. 2-4.
-
2019.
Big Data und Machine Learning in Industrie 4.0 : Perspektiven für Service-Modelle.
KunststoffXtra.
9(12), S. 19-21.
Verfügbar unter: https://issuu.com/sigwerbgmbh/docs/web_kx_12-2019/1?ff&showOtherPublicationsAsSuggestions=true&backgroundColorFullscreen=%23e8edf0
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Wüst, Raimond Matthias; Bütikofer, Stephan; Köchli, Joël; Ess, Severin,
2019.
In:
Proceedings of the 2nd International Railway Symposium Aachen 2019.
IRSA 2019 : 2nd International Railway Symposium, Aachen, Germany, 26-28 November 2019.
Aachen:
RWTH Aachen University.
S. 226-244.
Verfügbar unter: https://doi.org/10.18154/RWTH-2019-11969
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Wildi, Marc; Bundi, Nils Andri; et al.,
2019.
Bitcoin and market-(in)efficiency : a systematic time series approach.
Digital Finance.
1(1), S. 47-65.
Verfügbar unter: https://doi.org/10.1007/s42521-019-00004-z
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Schweiger, Lukas; Meierhofer, Jürg,
2019.
Data-driven servitization of SMEs : assessment of success factors based on a multiple case study [Paper].
In:
Servitization 2019: 8th International Conference on Business Servitization (ICBS 2019), November 21-22, 2019 : book of abstracts.
8th International Conference on Business Servitization (ICBS), San Sebastian, Spain, November 21-22, 2019.
OmniaScience.
S. 85-88.
-
2019.
Airport ground staff scheduling : a real-world business application.
In:
Smith Institute and Gurobi Optimization partnership event : Hitting it for six: using optimisation to unlock business efficiencies, London, 2 October 2019.
-
Meierhofer, Jürg; Heinatz Bürki, Gundula; Heitz, Christoph,
2019.
Unternehmer Zeitung.
25(10), S. 20-23.
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Herrmann, Thomas; Sedding, Helmut,
2019.
Industrie 4.0 von morgen diskutiert.
Technische Rundschau.
111(10), S. 74-75.
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Wüst, Raimond Matthias; Bütikofer, Stephan; Ess, Severin; Gomez, Claudio; Steiner, Albert; Laumanns, Marco; Szabo, Jacint; et al.,
2019.
Journal of Rail Transport Planning & Management.
11, S. 100146.
Verfügbar unter: https://doi.org/10.1016/j.jrtpm.2019.100146
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Herrmann, Thomas; Sedding, Helmut,
2019.
ZHAW Industrie 4.0.
Verfügbar unter: https://blog.zhaw.ch/industrie4null/2019/09/18/die-produktion-von-morgen/
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Wüst, Raimond; Bütikofer, Stephan; Ess, Severin; Gomez, Claudio; Steiner, Albert; Laumanns, Marco; Szabo, Jacint,
2019.
In:
Peterson, Anders; Joborn, Martin; Bohlin, Markus, Hrsg.,
RailNorrköping 2019.
8th International Conference on Railway Operations Modelling and Analysis, Norrköping, Sweden, 17-20 June 2019.
Linköping:
Linköping University Electronic Press.
S. 1140-1157.
Linköping Electronic Conference Proceedings ; 69.
Verfügbar unter: https://doi.org/10.21256/zhaw-18282
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Bütikofer, Stephan; Wüst, Raimond Matthias; Ess, Severin,
2019.
Periodic timetabling with flexibility based on a mesoscopic topology.
In:
Annual International Conference of the German Operations Research Society (GOR), Dresden, Germany, 4-6 September 2019.
-
Meierhofer, Jürg; West, Shaun, Hrsg.,
2019.
Second Smart Services Summit, Zurich, Switzerland, 13 September 2019.
Thun:
Swiss Alliance for Data-Intensive Services.
.
ISBN 978-3-033-07563-4.
Verfügbar unter: https://doi.org/10.21256/zhaw-26321
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Huber, Evelyn; Kleinknecht‐Dolf, Michael; Kugler, Christiane; Müller, Marianne; Spirig, Rebecca,
2019.
Validation of the instrument “Complexity of Nursing Care” : a mixed‐methods study.
Nursing Open.
7(1), S. 212-224.
Verfügbar unter: https://doi.org/10.1002/nop2.383
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Wüst, Raimond; Bütikofer, Stephan; Ess, Severin; Gomez, Claudio; Steiner, Albert; Laumanns, Marco; Szabo, Jacint,
2019.
In:
Operations Research Proceedings 2018.
OR2018, Operations Research Conference, Brussels, Belgium, 12-14 September 2018.
Cham:
Springer.
S. 571-578.
Operations Research Proceedings.
Verfügbar unter: https://doi.org/10.1007/978-3-030-18500-8_71
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Breymann, Wolfgang; Kucharczyk, Daniel Adam; Gross, Francis,
2019.
Modelling the economy as a network of contracts : an ACTUS-based demonstrator applied to liquidity.
In:
6th Annual Conference of the Society for Economic Measurement, Frankfurt, 16-18 August 2019.
-
Breymann, Wolfgang; Bundi, Nils; Heitz, Jonas; Micheler, Johannes; Stockinger, Kurt,
2019.
Large-scale data-driven financial risk assessment
.
In:
Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, Hrsg.,
Applied data science : lessons learned for the data-driven business.
Cham:
Springer.
S. 387-408.
Verfügbar unter: https://doi.org/10.1007/978-3-030-11821-1_21
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Larsson, Anders; Steiner, Albert,
2019.
In:
AESOP 2019 Conference : Book of Abstracts.
AESOP Annual Congress, Venice, Italy, 9-13 July 2019.
-
2019.
Das digitale Produktions-Puzzle.
Technische Rundschau.
111(7), S. 54-55.
Verfügbar unter: https://www.technische-rundschau.ch/archiv/2019/07/das-digitale-produktions-puzzle/
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Heitz, Christoph; Heinatz Bürki, Gundula; Meierhofer, Jürg,
2019.
Zusammen in die Zukunft : fit für Data Science.
KMU Rundschau.
2019(2), S. 34-35.
Verfügbar unter: https://issuu.com/prestigemedia/docs/kmurundschau_2019_02
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Frey, Martin; Murina, Elvis; Rohrbach, Janick; Walser, Manuel; Haas, Patrick; Dettling, Marcel,
2019.
Machine learning for position detection in football [Paper].
In:
2019 6th Swiss Conference on Data Science (SDS).
6th Swiss Conference on Data Science (SDS), Bern, 14. Juni 2019.
IEEE.
S. 111-112.
Verfügbar unter: https://doi.org/10.1109/SDS.2019.00009
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2019.
In:
15th biennal NECTAR Conference, Helsinki, Finland, 5-7 June 2019.
-
West, Shaun; Barbieri, Cosimo; Rapaccini, Mario; Meierhofer, Jürg,
2019.
Are practitioners and literature aligned about digital twin? [Paper].
In:
Kovács, Gyöngyi; Kuula, Markku, Hrsg.,
Operations adding value to society.
26th International Annual EurOMA Conference, Helsinki, Finland, 17-19 June 2019.
Helsinki:
Aalto University Business School.
S. 2781-2790.
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Wüst, Raimond Matthias; Bütikofer, Stephan; Ess, Severin; Gomez, Claudio; Steiner, Albert; Laumanns, Marco; Szabo, Jacint,
2019.
In:
8th International Conference on Railway Operations Modelling and Analysis (ICROMA), Norrköping, Sweden, 17-20 June 2019.
-
Templ, Matthias,
2019.
Applied compositional data analysis.
In:
4th International Conference on Computing, Mathematics and Statistics 2019 (iCMS2019), Langkawi, Malaysia, 23-24 April 2019.
-
Bütikofer, Stephan; Köchli, Joël; Frick, Kevin; Weber, Christoph,
2019.
Automatisierte Linienplanung im öffentlichen Verkehr.
ETR – Eisenbahntechnische Rundschau.
19(4), S. 68-72.
Verfügbar unter: https://doi.org/10.21256/zhaw-17897
-
2019.
Workforce planning in airport logistics : a real-world business application.
In:
CMS-MMEI-2019 : collection of abstracts.
16th Conference on Computational Management Science (CMS 2019), Chemnitz, Germany, 27-29 March 2019.
European Working Group on Stochastic Programming and Applications.
-
Monstein, Raphael; Capone, Pierluigi; Dettling, Marcel,
2019.
Determination of model structure from flight test with generalized additive models.
Journal of Aircraft.
Verfügbar unter: https://doi.org/10.2514/1.C035171
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Fusek, Peter; Klinkert, Andreas,
2019.
Airport ground staff scheduling : a real-world business application.
In:
30th European Conference on Operational Research, Dublin, Ireland, 23-26 June 2019.
-
Templ, Matthias,
2019.
Anonymisierung aus wissenschaftlicher Sicht.
In:
Fachtagung Anonymisierung des Vereins für Datenschutz, Bern, 28. August 2019.
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Rohrbach, Janick; Reinhard, Tobias; Sick, Beate; Dürr, Oliver,
2019.
Bone erosion scoring for rheumatoid arthritis with deep convolutional neural networks.
Computers & Electrical Engineering.
78, S. 472-481.
Verfügbar unter: https://doi.org/10.1016/j.compeleceng.2019.08.003
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Meierhofer, Jürg; Kugler, Petra; Etschmann, Roman,
2019.
Challenges and approaches with data-driven services for SMEs : insights from a field study [Paper].
In:
Proceedings of the Spring Servitization Conference : Delivering Services Growth in the Digital Era.
Spring Servitization Conference «Delivering Services Growth in the Digital Era», Linköping, Sweden, 13-15 May 2019.
Birmingham:
Aston University.
S. 39-49.
-
Meierhofer, Jürg; Stadelmann, Thilo; Cieliebak, Mark,
2019.
.
In:
Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, Hrsg.,
Applied data science : lessons learned for the data-driven business.
Cham:
Springer.
S. 47-61.
Verfügbar unter: https://doi.org/10.1007/978-3-030-11821-1_4
-
2019.
Daten als Treibstoff der Instandhaltung?.
Technische Rundschau.
2019(2), S. 14-15.
Verfügbar unter: https://www.technische-rundschau.ch/archiv/2019/02/daten-als-treibstoff-der-instandhaltung/
-
2019.
Daten in der Instandhaltung : Potenziale und Stolpersteine.
fmpro service.
2019(1), S. 44-47.
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Meierhofer, Jürg; Lév, Jana,
2019.
Daten-basierter Service-Nutzen entlang der Customer Journey.
ServiceToday.
33(2), S. 86-87.
Verfügbar unter: https://doi.org/10.21256/zhaw-3243
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Inan, Berkay; Cernak, Milos; Grabner, Helmut; Tukuljac, Helena Peic; Pena, Rodrigo C. G.; Ricaud, Benjamin,
2019.
Evaluating audiovisual source separation in the context of video conferencing [Paper].
In:
Proceedings Interspeech 2019.
Interspeech 2019, Graz, Austria, 15-19 September 2019.
International Speech Communication Association (ISCA).
S. 4579-4583.
Verfügbar unter: https://doi.org/10.21437/Interspeech.2019-2671
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Templ, Matthias; Gussenbauer, J.; Filzmoser, P.,
2019.
Evaluation of robust outlier detection methods for zero-inflated complex data.
Journal of Applied Statistics.
47(7), S. 1144-1167.
Verfügbar unter: https://doi.org/10.1080/02664763.2019.1671961
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Ahelegbey, Daniel Felix; Giudici, Paolo; Hadji Misheva, Branka,
2019.
Factorial network models to improve P2P credit risk management.
Frontiers in Artificial Intelligence.
2, S. 8.
Verfügbar unter: https://doi.org/10.3389/frai.2019.00008
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Meindl, Bernhard; Templ, Matthias,
2019.
Feedback-based integration of the whole process of data anonymization in a graphical interface.
Algorithms.
12(9), S. 191.
Verfügbar unter: https://doi.org/10.3390/a12090191
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Templ, Barbara; Mozes, Edina; Templ, Matthias; Földesi, Rita; Szirák, Ádám; Báldi, András; Kovács-Hostyánszki, Anikó,
2019.
Habitat-dependency of transect walk and pan trap methods for bee sampling in farmlands.
Journal of Apicultural Science.
63(1), S. 93-115.
Verfügbar unter: https://doi.org/10.2478/JAS-2019-0014
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Ahelegbey, Daniel Felix; Giudici, Paolo; Hadji Misheva, Branka,
2019.
Latent factor models for credit scoring in P2P systems.
Physica A: Statistical Mechanics and its Applications.
522, S. 112-121.
Verfügbar unter: https://doi.org/10.1016/j.physa.2019.01.130
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Giudici, Paolo; Hadji Misheva, Branka; Spelta, Alessandro,
2019.
Network based credit risk models.
Quality Engineering.
32(2), S. 199-211.
Verfügbar unter: https://doi.org/10.1080/08982112.2019.1655159
-
Giudici, Paolo; Hadji Misheva, Branka; Spelta, Alessandro,
2019.
Network based scoring models to improve credit risk management in peer to peer lending platforms.
Frontiers in Artificial Intelligence.
2(3).
Verfügbar unter: https://doi.org/10.3389/frai.2019.00003
-
2019.
Planung und Steuerung in der digitalen Welt.
Aktuelle Technik.
2019(6).
Verfügbar unter: https://aktuelletechnik.blverlag.ch/planung-und-steuerung-in-der-digitalen-welt/
-
Schtalheim, Uri; Ott, Stefan; Heitz, Christoph; Goren Huber, Lilach,
2019.
Forschungsbericht
; 1648.
Bern:
Bundesamt für Strassen.
Verfügbar unter: https://doi.org/10.21256/zhaw-3341
-
2019.
Scheduling with asymmetric piecewise-linear time-dependent processing times [Paper].
In:
Proceedings of the 14th Workshop on Models and Algorithms for Planning and Scheduling Problems, MAPSP 2019.
MAPSP 2019, Renesse, The Netherlands, 2-7 June 2019.
Maastricht University.
S. 43-45.
-
2019.
Service Transformation und Service Engineering (AP3)
.
In:
Thiel, Christian, Hrsg.,
Nutzenbasierter Digitalisierungsnavigator : wie KMU ihre Digitalisierungsstrategie selbst entwickeln können.
Konstanz:
IBH-Lab KMUdigital.
S. 47-61.
-
Meierhofer, Jürg; West, Shaun,
2019.
Service value creation using a digital twin [Paper].
In:
Naples Forum on Service, Service Dominant Logic, Network & Systems Theory and Service Science: Integrating Three Perspectives for a New Service Agenda, Ischia, Italy, 4-7 June 2019.
Verfügbar unter: http://www.naplesforumonservice.it/uploads/files/2018/Proceedings/NFS2019-Meierhofer-est.pdf
-
Meierhofer, Jürg; Berliat, Roger,
2019.
ServiceToday.
33(4), S. 96-97.
Verfügbar unter: https://doi.org/10.21256/zhaw-18545
-
Dettling, Marcel; Ruckstuhl, Andreas,
2019.
.
In:
Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, Hrsg.,
Applied data science : lessons learned for the data-driven business.
Cham:
Springer.
S. 181-203.
Verfügbar unter: https://doi.org/10.1007/978-3-030-11821-1_11
-
Müller, Marianne,
2019.
Statistik für die Pflege : Handbuch für Pflegeforschung und Pflegewissenschaft.
2., vollständig überarbeitete und erweiterte Auflage.
Bern:
Hogrefe.
ISBN 978-3-456-85950-7.
-
Renold, Manuel; Kuljanin, Jovana; Kalić, Milica,
2019.
In:
Kazda, Antonin; Smojver, Ivica, Hrsg.,
INAIR 2019 : Global Trends in Aviation.
8th International Conference on Air Transport (INAIR), Budapest, Hungary, 12-13 November 2019.
Elsevier.
S. 178-187.
Transportation Research Procedia.
Verfügbar unter: https://doi.org/10.1016/j.trpro.2019.12.032
-
Fiori, Chiara; Arcidiacono, Vincenzo; Fontaras, Georgios; Makridis, Michail; Mattas, Konstantinos; Marzano, Vittorio; Thiel, Christian; Ciuffo, Biagio,
2019.
Transportation Research Part D: Transport and Environment.
67, S. 275-290.
Verfügbar unter: https://doi.org/10.1016/j.trd.2018.11.018
-
Kreutzmann, Ann-Kristin; Pannier, Sören; Rojas-Perilla, Natalia; Schmid, Timo; Templ, Matthias; Tzavidis, Nikos,
2019.
The R package emdi for estimating and mapping regionally disaggregated indicators.
Journal of Statistical Software.
91(7).
Verfügbar unter: https://doi.org/10.18637/jss.v091.i07
-
Wildi, Marc; McElroy, Tucker S.,
2019.
The trilemma between accuracy, timeliness and smoothness in real-time signal extraction.
International Journal of Forecasting.
Verfügbar unter: https://doi.org/10.1016/j.ijforecast.2019.03.008
-
Loi, Michele; Heitz, Christoph; Ferrario, Andrea; Schmid, Anita; Christen, Markus,
2019.
Towards an ethical code for data-based business [Paper].
In:
2019 6th Swiss Conference on Data Science (SDS).
6th Swiss Conference on Data Science (SDS), Bern, 14. Juni 2019.
IEEE.
Verfügbar unter: https://doi.org/10.1109/SDS.2019.00-15
-
Heitz, Christoph; Etschmann, Roman; Stoeckle, Raoul; Bachmann, Thomas; Templ, Matthias,
2019.
User-based redistribution in free-floating bike sharing systems [Paper].
In:
Operations Research Proceedings 2018.
Annual International Conference of the German Operations Research Society (GOR), Brussels, Belgium, 12-14 September 2018.
Cham:
Springer.
S. 555-562.
Operations Research Proceedings.
Verfügbar unter: https://doi.org/10.1007/978-3-030-18500-8_69
-
2018.
Herausforderungen, Chancen und Perspektiven mit Industrie 4.0.
Aktuelle Technik.
2018(12), S. 20-21.
-
Wüst, Raimond; Gomez, Claudio; Ess, Severin; Steiner, Albert; Bütikofer, Stephan,
2018.
St. Gallen:
SBB Forschungsfonds HSG.
Verfügbar unter: https://doi.org/10.21256/zhaw-18564
-
Bütikofer, Stephan; Wüst, Raimond Matthias; Steiner, Albert,
2018.
In:
EULOG 2018: Entscheidungsunterstützung in der Logistik, Linz, Österreich, 4.-5. Oktober 2018.
-
Bütikofer, Stephan; Hofer, Christoph,
2018.
In:
OR2018, Operations Research Conference, Brussels, Belgium, 12-14 September 2018.
-
2018.
Datenbasierte Service-Innovation.
Spot.on Marketing.
-
Meierhofer, Jürg; Heinatz, Gundula,
2018.
Wie sich die Dienstleistungswirtschaft durch Daten wandelt.
SocietyByte.
2018.
Verfügbar unter: https://doi.org/10.21256/zhaw-3949
-
2018.
Optimized staff scheduling at Swissport.
In:
16th Swiss OR Days, Bern, 12-13 June 2018.
-
2018.
Challenges and approaches for product-service-transformation of SMEs.
In:
Servsig Proceedings : Opportunities for Services in a Challenging World.
10th SERVSIG: «Opportunities for Services in a Challenging World», Paris, 14-16 June 2018.
S. 102-106.
Verfügbar unter: https://www.ieseg.fr/wp-content/uploads/2018/02/SERVSIG-2018-Proceedings.pdf
-
Meier, Mario Federico; Mildenberger, Thoralf; Locher, René; Rausch, Juanita; Zünd, Thomas; Neururer, Christoph; Ruckstuhl, Andreas; Grobéty, Bernard,
2018.
Journal of Aerosol Science.
123, S. 1-16.
Verfügbar unter: https://doi.org/10.1016/j.jaerosci.2018.05.012
-
Fačevicová, Kamila; Hron, Karel; Todorov, Valentin; Templ, Matthias,
2018.
General approach to coordinate representation of compositional tables.
Scandinavian Journal of Statistics.
Verfügbar unter: https://doi.org/10.1111/sjos.12326
-
2018.
Industrie 4.0 : Perspektiven durch neue Service-Modelle.
Topsoft-Magazin.
18(1), S. 18-19.
Verfügbar unter: https://issuu.com/topsoft/docs/tsm18-1
-
Kavassalis, Petros; Stieber, Harald; Breymann, Wolfgang; Saxton, Keith; Gross, Francis Joseph,
2018.
An innovative RegTech approach to financial risk monitoring and supervisory reporting.
Journal of Risk Finance.
19(1), S. 39-55.
Verfügbar unter: https://doi.org/10.1108/JRF-07-2017-0111
-
Filzmoser, Peter; Hron, Karel; Templ, Matthias,
2018.
Applied compositional data analysis : with worked examples in R.
1. Auflage.
Cham:
Springer.
Springer Series in Statistics (SSS).
ISBN 978-3-319-96420-1.
Verfügbar unter: https://doi.org/10.1007/978-3-319-96422-5
-
2018.
Ausbildung zur Führungskraft in der Instandhaltung an der Hochschule.
fmpro service.
2018(3), S. 14-16.
-
Chen, Yann Qi; Fink, Olga; Sansavini, Giovanni,
2018.
IEEE Transactions on Industrial Electronics.
65(1), S. 561-569.
Verfügbar unter: https://doi.org/10.1109/TIE.2017.2721922
-
Templ, Matthias,
2018.
Compositional data analysis of our favourite drinks.
In:
eRum 2018, European R Users Meeting, Budapest, Bulgaria, 14-16 May 2018.
Verfügbar unter: https://2018.erum.io/#talk-2-44
-
Goren Huber, Lilach; Kunz, Simon; Dettling, Marcel,
2018.
Condition-based maintenance decision making : a practical approach for marine vessels.
International Journal of COMADEM.
21(3), S. 15-20.
Verfügbar unter: https://apscience.org/comadem/index.php/comadem/article/view/93
-
2018.
Data driven servitization for SMEs in manufacturing [Paper].
In:
Proceedings of the Spring Servitization Conference : Driving Competition through Servitization.
Spring Servitization Conference «Driving Competition through Servitization», Birmingham, United Kingdom, 14-16 May 2018.
-
Meierhofer, Jürg; Herrmann, Anne,
2018.
End-to-end methodological approach for the data-driven design of customer-centered digital services [Paper].
In:
Satzger, Gerhard; Patrício, Lia; Zaki, Mohamed; Kühl, Niklas; Hottum, Peter, Hrsg.,
IESS 2018: Exploring Service Science.
9th International Conference on Exploring Service Science (IESS 2018), Karlsruhe, Germany, 19-21 September 2018.
Cham:
Springer.
S. 208-218.
Lecture notes in business information processing.
Verfügbar unter: https://doi.org/10.1007/978-3-030-00713-3_16
-
Stockinger, Kurt; Heitz, Jonas; Bundi, Nils Andri; Breymann, Wolfgang,
2018.
Large-scale data-driven financial risk modeling using big data technology [Paper].
In:
2018 IEEE/ACM 5th International Conference on Big Data Computing Applications and Technologies (BDCAT).
5th International Conference on Big Data Computing, Applications and Technologies (BDCAT), Zurich, Switzerland, 17-20 December 2018.
IEEE.
S. 206-207.
Verfügbar unter: https://doi.org/10.1109/BDCAT.2018.00033
-
Meier, Benjamin Bruno; Elezi, Ismail; Amirian, Mohammadreza; Dürr, Oliver; Stadelmann, Thilo,
2018.
Learning neural models for end-to-end clustering [Paper].
In:
Artificial Neural Networks in Pattern Recognition.
8th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR), Siena, Italy, 19-21 September 2018.
Springer.
S. 126-138.
Lecture Notes in Computer Science ; 11081.
Verfügbar unter: https://doi.org/10.1007/978-3-319-99978-4_10
-
Wüst, Raimond Matthias; Gomez, Claudio; Ess, Severin; Steiner, Albert; Bütikofer, Stephan; Laumanns, Marco; Szabo, Jazint,
2018.
In:
OR2018, Operations Research Conference, Brussels, Belgium, 12-14 September 2018.
Verfügbar unter: https://www.euro-online.org/conf/admin/tmp/program-or2018.pdf
-
2018.
Real time trend extraction and seasonal adjustment
.
In:
Handbook on seasonal adjustment.
Luxembourg:
Eurostat.
S. 415-451.
Verfügbar unter: https://doi.org/10.2785/279605
-
Chen, Jiajia; Zhang, Xiaoqin; Hron, Karel; Templ, Matthias; Li, Shengjia,
2018.
Journal of Applied Statistics.
45(11), S. 2067-2080.
Verfügbar unter: https://doi.org/10.1080/02664763.2017.1410524
-
Deublein, Markus; Hafsteinsson, Helgi; Frey, Martin; Dettling, Marcel; Meier, Lukas; Kalisch, Markus,
2018.
Statistische Analyse von Unfallzahlen.
Bern:
Bundesamt für Strassen.
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Kuljanin, Jovana; Kalic, Milica; Mijovic, Nemanja; Renold, Manuel,
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