Prof. Dr. Thomas Ott

ZHAW Life Sciences und Facility Management
Institut für Computational Life Sciences
Schloss
8820 Wädenswil

Arbeit an der ZHAW

Tätigkeit

Institutsleitung Institut für Computational Life Sciences

Arbeits- und Forschungsschwerpunkte

Bio-inspired Computing, Applied Neuroinformatics (Pattern Recognition, Machine Learning), Modelling of Complex Systems Forecast methodologies for traffic and logistics Digital Health Assistance Systems

Lehrtätigkeit

Systeme und Modelle der Physik (BSc ADLS)
Optimisation Methods and Bio-inspired Algorithms (MSc Life Sciences ACLS)

Netzwerk

Mitglied in Netzwerken

Social Media

Projekte

Publikationen

Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed

Epper, Pascale; Glüge, Stefan; Vidondo, Beatriz; Wróbel, Anna; Ott, Thomas; Sieme, Harald; Kaeser, Rebekka; Burger, Dominik,

2023.

Increase of body temperature immediately after ovulation in mares.

Journal of Equine Veterinary Science.

127(104565).

Verfügbar unter: https://doi.org/10.1016/j.jevs.2023.104565
Glüge, Stefan; Balabanov, Stefan; Koelzer, Viktor Hendrik; Ott, Thomas,

2023.

Evaluation of deep learning training strategies for the classification of bone marrow cell images.

Computer Methods and Programs in Biomedicine.

(243), S. 107924.

Verfügbar unter: https://doi.org/10.1016/j.cmpb.2023.107924
Müller, Antonia; Glüge, Stefan; Vidondo, Beatriz; Wróbel, Anna; Ott, Thomas; Sieme, Harald; Burger, Dominik,

2022.

Increase of skin temperature prior to parturition in mares.

Theriogenology.

190, S. 46-51.

Verfügbar unter: https://doi.org/10.1016/j.theriogenology.2022.07.007
Garcia, Victor; Horn, Claus; Ott, Thomas,

2022.

The sciences of data – moving towards a comprehensive systems perspective.

Archives of Data Science, Series A.

8(2).

Verfügbar unter: https://doi.org/10.5445/IR/1000150241
Uwate, Yoko; Nishio, Yoshifumi; Ott, Thomas,

2021.

Synchronization of chaotic circuits with stochastically-coupled network topology.

International Journal of Bifurcation and Chaos.

31(01), S. 2150015.

Verfügbar unter: https://doi.org/10.1142/S0218127421500152
Uwate, Yoko; Takamaru, Yuji; Ott, Thomas; Nishio, Yoshifumi,

2019.

Clustering using chaotic circuit networks with weighted couplings.

International Journal of Bifurcation and Chaos.

29(4), S. 1950053.

Verfügbar unter: https://doi.org/10.1142/S0218127419500536
Tanner, Carmen; Narvaez, Darcia; Christen, Markus; Ott, Thomas,

2016.

Using thesauruses as a heuristics for mapping values.

Cognitive Systems Research.

40, S. 59-74.

Verfügbar unter: https://doi.org/10.1016/j.cogsys.2016.02.003
Schwendner, Peter; Schüle, Martin; Ott, Thomas; Hillebrand, Martin,

2015.

European government bond dynamics and stability policies : taming contagion risks.

Journal of Network Theory in Finance.

1(4), S. 1-25.

Verfügbar unter: https://doi.org/10.21314/JNTF.2015.012
Christen, Markus; Niederberger, Thomas; Ott, Thomas; Aryobsei, Suleiman; Hofstetter, Reto,

2015.

Micro-text classification between small and big data.

Nonlinear Theory and Its Applications.

6(4), S. 556-569.

Verfügbar unter: https://doi.org/10.1587/nolta.6.556
Christen, Markus; Ott, Thomas; Schwarz, Daniel,

2013.

A new measure for party coherence : applying a physics-based concept to the Swiss party system.

Advances in Complex Systems.

16(6), S. 1350011.

Verfügbar unter: https://doi.org/10.1142/S0219525913500112
Savi, Daniel; Kasser, Ueli; Ott, Thomas,

2013.

Depollution benchmarks for capacitors, batteries and printed wiring boards from waste electrical and electronic equipment (WEEE).

Waste Management.

33(12), S. 2737-2743.

Verfügbar unter: https://doi.org/10.1016/j.wasman.2013.08.014
Landis, Florian; Ott, Thomas; Stoop, Ruedi,

2010.

Hebbian self-organizing integrate-and-fire networks for data clustering.

Neural Computation.

22(1), S. 273-288.

Verfügbar unter: https://doi.org/10.1162/neco.2009.12-08-926

Buchbeiträge, peer-reviewed

Ott, Thomas; Glüge, Stefan; Bödi, Richard; Kauf, Peter,

2019.

Economic measures of forecast accuracy for demand planning : a case-based discussion

.

In:

Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, Hrsg.,

Applied data science : lessons learned for the data-driven business.

Cham:

Springer.

S. 371-386.

Verfügbar unter: https://doi.org/10.1007/978-3-030-11821-1_20
Christen, Markus; Ott, Thomas,

2013.

Quantified coherence of moral beliefs as predictive factor for moral agency

.

In:

Musschenga, Bert; van Harskamp, Anton, Hrsg.,

What makes us moral? : on the capacities and conditions for being moral.

Dordrecht:

Springer.

S. 73-96.

Library of Ethics and Applied Philosophy ; 31.

Verfügbar unter: https://doi.org/10.1007/978-94-007-6343-2_5

Konferenzbeiträge, peer-reviewed

Wróbel, Anna; Sandamirskaya, Yulia; Ott, Thomas,

2023.

A spiking neural network for classifying NIR spectra of fruits [Paper].

In:

International Symposium on Nonlinear Theory and Its Applications (NOLTA), Catania, Italy, 26-29 September 2023.

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

Verfügbar unter: https://doi.org/10.21256/zhaw-30070
Gygax, Gregory; Ratnaweera, Nils; Tischhauser, Werner; Smits, Theo H. M.; Laube, Patrick; Ott, Thomas,

2023.

An oracle for the optimization of underconstrained compositions of neural networks : the tick hazard use case [Paper].

In:

Schneider, Johannes Josef; Weyland, Mathias Sebastian; Flumini, Dandolo; Füchslin, Rudolf Marcel, Hrsg.,

Artificial Life and Evolutionary Computation.

XV International Workshop on Artificial Life and Evolutionary Computation (WIVACE), Winterthur, Switzerland, 15-17 September 2021.

Cham:

Springer.

S. 24-31.

Communications in Computer and Information Science ; 1722.

Verfügbar unter: https://doi.org/10.1007/978-3-031-23929-8_3
Füchslin, Rudolf Marcel; Ambühl, Jacques; Faggian, Alessia; Fellermann, Harold M.; Flumini, Dandolo; Geller, Armando; Hanczyc, Martin M.; Klinkert, Andreas; Krütli, Pius; Matuttis, Hans-Georg; Ott, Thomas; Scheidegger, Stephan; Schmid, Gary Bruno; Smieszek, Timo; Schneider, Johannes J.; Steiner, Albert; Weyland, Mathias S.,

2023.

Ethical aspects of computational modelling in science, decision support and communication [Paper].

In:

Artificial Life and Evolutionary Computation.

XV Italian Workshop on Artificial Life and Evolutionary Computation (WIVACE), Winterthur, Switzerland, 15-17 September 2021.

Cham:

Springer.

Communications in Computer and Information Science ; 1722.

Verfügbar unter: https://doi.org/10.1007/978-3-031-23929-8_24
Vachey, Gabriel; Ott, Thomas,

2022.

Self-organizing maps of artificial neural classifiers : a brain-like pin factory [Paper].

In:

Schneider, Johannes Josef; Weyland, Mathias Sebastian; Flumini, Dandolo; Füchslin, Rudolf Marcel, Hrsg.,

Artificial Life and Evolutionary Computation.

XV International Workshop on Artificial Life and Evolutionary Computation (WIVACE), Winterthur, Switzerland, 15-17 September 2021.

Cham:

Springer.

S. 163-171.

Communications in Computer and Information Science ; 1722.

Verfügbar unter: https://doi.org/10.1007/978-3-031-23929-8_16
Uwate, Yoko; Schüle, Martin; Ott, Thomas; Noshio, Yoshifumi,

2020.

Echo state network with chaos noise for time series prediction [Paper].

In:

Proceedings of the 2020 International Symposium on Nonlinear Theory and its Applications.

International Symposium on Nonlinear Theory and its Applications (NOLTA), Okinawa, Japan, 16–19 November 2020.

S. 274.
Miniussi, Myriam; Ott, Thomas; Fellermann, Harold,

2020.

Impact of noise and network size in coupled maps with asymmetric influence amplification [Paper].

In:

Proceedings of the NOLTA 2020 Conference.

2020 International Symposium on Nonlinear Theory and Its Applications (NOLTA2020), Online Conference, 16-19 November 2020.

S. 282-285.
Gygax, Gregory; Füchslin, Rudolf Marcel; Ott, Thomas,

2020.

Self-organized division of labor in networks of forecasting models for time series with regime switches [Paper].

In:

Proceedings of the NOLTA 2020 Conference.

2020 International Symposium on Nonlinear Theory and Its Applications (NOLTA2020), Online Conference, 16-19 November 2020.

S. 278-281.
Wróbel, Anna; Gygax, Gregory; Schmid, Andi; Ott, Thomas; et al.,

2020.

Going for 2D or 3D? : investigating various machine learning approaches for peach variety identification [Paper].

In:

Schilling, Frank-Peter; Stadelmann, Thilo, Hrsg.,

Artificial Neural Networks in Pattern Recognition.

9th IAPR TC 3 Workshop on Artificial Neural Networks for Pattern Recognition (ANNPR'20), Winterthur, Switzerland, 2-4 September 2020.

Cham:

Springer.

S. 257-265.

Lecture Notes in Computer Science ; 12294.

Verfügbar unter: https://doi.org/10.1007/978-3-030-58309-5_21
Füchslin, Rudolf Marcel; Schneider, Johannes Josef; Ott, Thomas; Walker, Richard,

2019.

Simplified modeling of the evolution of skills in a spatially resolved environment [Paper].

In:

Fellermann, Harold; Bacardit, Jaume; Goñi-Moreno, Angel; Füchslin, Rudolf Marcel, Hrsg.,

Proceedings of the Artificial Life Conference 2019.

International Conference on Artificial Life (ALIFE), Newcastle, United Kingdom, 29 July - 2 August 2019.

Massachusetts Institute of Technology.

S. 324-330.

Verfügbar unter: https://doi.org/10.1162/isal_a_00182
Uwate, Yoko; Ott, Thomas; Nishio, Yoshifumi,

2018.

Producing complex networks using coupled oscillatory circuits with evolutionary connections [Paper].

In:

IEEE International Symposium on Circuits and Systems (ISCAS).

EEE International Symposium on Circuits and Systems (ISCAS), Florenz, Italy, 27-30 May 2018.

IEEE.

S. 1-5.

Verfügbar unter: https://doi.org/10.1109/ISCAS.2018.8351665
Ott, Thomas; Schüle, Martin; Fellermann, Harold; Uwate, Yoko,

2018.

Structural evolution in networks of coupled maps with asymmetric influence amplification [Paper].

In:

2018 International Symposium on Nonlinear Theory and Its Applications (NOLTA2018), Tarragona, Spain, 2-6 September 2018.

S. 546-549.
Schüle, Martin; Ott, Thomas,

2018.

Synchronization in cellular automata : the learning approach [Paper].

In:

2018 International Symposium on Nonlinear Theory and Its Applications (NOLTA2018), Tarragona, Spain, 2-6 September 2018.
Glüge, Stefan; Böck, Ronald; Ott, Thomas,

2017.

Emotion recognition from speech using representation learning in extreme learning machines [Paper].

In:

Sabourin, Christophe; Julian Merelo, Juan; O'Reilly, Una-May; Madani, Kurosh; Warwick, Kevin, Hrsg.,

Proceedings of the 9th International Joint Conference on Computational Intelligence.

9th International Joint Conference on Computational Intelligence, Funchal, Portugal, 1-3 November 2017.

SciTePress.

S. 179-185.

Verfügbar unter: https://doi.org/10.5220/0006485401790185
Ott, Thomas; Schüle, Martin; Held, Jenny; Albert, Carlo; Stoop, Ruedi,

2016.

Clustered multidimensional scaling with Rulkov neurons [Paper].

In:

2016 International Symposium on Nonlinear Theory and Its Applications.

Nonlinear Theory and Applications 2016 (NOLTA), Yugawara, Japan, 27-30 November 2016.

IEICE.

S. 389-392.

Verfügbar unter: https://doi.org/10.21256/zhaw-3532
Schüle, Martin; Ott, Thomas; Schwendner, Peter,

2016.

Forecasting correlation structures [Paper].

In:

Proceedings of the 2016 international symposium on nonlinear theory and its applications.

2016 International Symposium on Nonlinear Theory and Its Applications (NOLTA2016), Yugawara, Japan, 27-30 November 2016.

IEICE.
Nef, Annina; Glüge, Stefan; Ott, Thomas; Kauf, Peter,

2014.

Causality detection in complex time dependent systems examplified in financial time series [Paper].

In:

Proceedings of the 2014 International Symposium on Nonlinear Theory and its Applications (NOLTA2014).

Nonlinear Theory and Applications 2014 (NOLTA), Luzern, 14-18 September 2014.

IECE.

S. 176-179.

Verfügbar unter: http://www.ieice.org/nolta/symposium/archive/2014/nolta14fullvol.pdf
Eggel, Thomas; Christen, Markus; Ott, Thomas,

2014.

Generating low-dimensional denoised representations of nonlinear data with superparamagnetic agents [Paper].

In:

Proceedings of the 2014 International Symposium on Nonlinear Theory and its Applications (NOLTA2014).

Nonlinear Theory and Applications 2014 (NOLTA), Luzern, 14-18 September 2014.

IEICE.

S. 180-183.

Verfügbar unter: https://doi.org/10.21256/zhaw-3565
Bruckmann, Dirk; Jackson, Clare; Ott, Thomas; Weidmann, Ulrich,

2014.

Improving the forecast of freight transport demand using machine learning and time series analysis [Paper].

In:

14th Swiss Transport Research Conference, Ascona, 14-16 May 2014.
Glüge, Stefan; Pomati, Francesco; Albert, Carlo; Kauf, Peter; Ott, Thomas,

2014.

The challenge of clustering flow cytometry data from phytoplankton in Lakes [Paper].

In:

Mladenov, V.M.; Ivanov, P.C., Hrsg.,

Nonlinear Dynamics of Electronic Systems 22nd International Conference, NDES 2014, Albena, Bulgaria, July 4-6, 2014. Proceedings.

NDES 2014, 22nd Nonlinear Dynamics of Electronic Systems Conference, Albena, Bulgaria, 4-6 July 2014.

Cham:

Springer.

S. 379-386.

Communications in Computer and Information Science ; 438.

Verfügbar unter: https://doi.org/10.1007/978-3-319-08672-9_45
Müller, Claudia; Grabherr, Patrizia Margrith; Ott, Thomas; Brombach, Christine; Hauck, René,

2013.

A user-friendly tool for assessing sustainability of menus in large-scale catering [Poster].

In:

Resource efficiency, governance and lifestyles : meeting report.

World Resources Forum 2013, Davos, Switzerland, 6-9 October 2013.

St.Gallen:

World Resource Forum WRF.
Uwate, Yoko; Ott, Thomas; Nishio, Yoshifumi,

2013.

Clustering phenomena in coupled chaotic circuits with different coupling strength [Paper].

In:

European Conference on Circuit Theory and Design (ECCTD), Dresden, Deutschland, 8-12 September 2013.

Verfügbar unter: https://doi.org/10.1109/ECCTD.2013.6662220
Takamaru, Yuji; Uwate, Yoko; Ott, Thomas; Nishio, Yoshifumi,

2012.

Clustering phenomena of coupled chaotic circuits for large scale networks [Paper].

In:

Nonlinear Dynamics of Electronic Systems, Proceedings of NDES 2012.

NDES 2012, 20th Nonlinear Dynamics of Electronic Systems Conference, Wolfenbüttel, Deutschland, 11-13 July 2012.

VDE.

S. 70-73.

Verfügbar unter: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6293766
Niederberger, Thomas; Stoop, Norbert; Christen, Markus; Ott, Thomas,

2012.

Hebbian principal component clustering for information retrieval on a crowdsourcing platform [Paper].

In:

Proceedings of NDES 2012.

NDES 2012, 20th Nonlinear Dynamics of Electronic Systems Conference, Wolfenbüttel, Deutschland, 11-13 July 2012.

VDE.

S. 249-252.

Verfügbar unter: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6293769
Niederberger, Thomas; Merlo, Olivier; Ott, Thomas,

2011.

Predator-prey dynamics in Hopfield-type networks [Paper].

In:

Proceedings of the 2011 International Symposium on Nonlinear Theory and its Applications (NOLTA2011).

International Symposium on Nonlinear Theory and its Applications (NOLTA2011), Kobe, Japan, 4-7 September 2011.

IECE.

S. 541-544.

Verfügbar unter: http://www.ieice.org/proceedings/NOLTA2011/nolta11fullvol.pdf
Mürset, Urs; Ott, Thomas,

2010.

Data clustering based on Hebbian learning in inhomogeneous coupled map lattices [Paper].

In:

Proceedings of NDES.

NDES 2010, 18th Nonlinear Dynamics of Electronic Systems Conference, 2010.
Christen, Markus; Starostina, Tatiana; Schwarz, Daniel; Ott, Thomas,

2009.

A spin-based measure of the coherence of belief-systems : theory and application [Paper].

In:

Proceedings od NDES'09.

NDES 2009, 17th Nonlinear Dynamics of Electronic Systems Conference, 2009.
Mürset, Urs; Ott, Thomas,

2009.

Semi-supervised classifiaction with single-layer isingtrons [Paper].

In:

Proceedings of NDES'09.

NDES 2009, 17th Nonlinear Dynamics of Electronic Systems Conference, 2009.
Schüle, Martin; Stoop, Ruedi; Ott, Thomas,

2008.

Global dynamics of finite cellular automata [Paper].

In:

Artificial Neural Networks - ICANN 2008 : Proceedings Part I.

International Conference on Artificial Neural Networks - ICANN 2008, Prague, Czech Republic, 3-6 September 2008.

Springer.

S. 71-78.

Lecture Notes in Computer Science ; 5163.

Verfügbar unter: https://doi.org/10.1007/978-3-540-87536-9_8
Jasa, Tom; Stoop, Ruedi; Ott, Thomas; Lanz, Thomas,

2008.

Sequential superparamagnetic clustering as a predictor of visual fixations [Paper].

In:

Proceedings of NOLTA (Nonlinear Theory and Applications), Budapest, Hungary, September 7-10, 2008.

Nonlinear Theory and Applications 2008 (NOLTA), Budapest, Hungary, 7-10 September 2008.

IECE.

S. 120-123.

Verfügbar unter: http://www.ieice.org/proceedings/NOLTA2008/nolta08fullvol.pdf

Weitere Publikationen

Füchslin, Rudolf Marcel; Krütli, Pius; Ott, Thomas; Scheidegger, Stephan; Schneider, Johannes Josef; Seric, Marko; Smieszek, Timo; Weyland, Mathias S.,

2022.

Minimal models for spatially resolved population dynamics : applications to coexistence in multi – trait models [Paper].

In:

ALIFE 2022: The 2022 Conference on Artificial Life.

International Conference on Artificial Life (ALIFE), online, 18-22 July 2022.

Cambridge:

MIT Press.

S. 75.

Verfügbar unter: https://doi.org/10.1162/isal_a_00504
Kauf, Peter; Ott, Thomas,

2017.

Smart together : lernfähige Prognose-Algorithmen unterstützen Menschen.

Logistics Innovation.

2017(1), S. 32-35.
Dorndorf, Ulrich; Kauf, Peter; Ott, Thomas,

2015.

Bessere Absatzprognosen : eine Frage der Faktoren.

Logistics Innovation.

2015(2), S. 8-11.
Burkhard, Marcel; Ott, Thomas; Stoop, Norbert; Kauf, Peter; Jackson, Clare Estelle; Frei, Simone; Ruesch, Martin; Hegi, Philipp; Moreni, Gianni; Koy, Thorsten,

2014.

Stauprognoseverfahren und -systeme : Forschungsprojekt ASTRA 2011/010.

Forschungsberichte SVI

; 1499.

Bern:

Bundesamt für Strassen.
Takamaru, Yuji; Uwate, Yoko; Ott, Thomas; Nishio, Yoshifumi,

2013.

Dependence of clustering patterns on density of chaotic circuits in networks.

Journal of Signal Processing.

17(4), S. 103-106.

Verfügbar unter: https://doi.org/10.2299/jsp.17.103
Köhler, Sven; Ott, Thomas,

2013.

Einflussfaktoren auf das Patientenaufkommen in Notfallstationen.

Transfer.

2013(1), S. 7.

Verfügbar unter: https://doi.org/10.21256/zhaw-4415
Koller, Christoph; Kellenberger, Remo; Ott, Thomas; Meyer, Thalia,

2013.

PV-Tracking-System auf dem Skilift in Tenna - eine erste Auswertung : Annual Report 2012

.

In:

Programm Photovoltaik Ausgabe 2013 : Überblicksbericht, Liste der Projekte : Jahresberichte der Beauftragen 2012.

Bern:

Bundesamt für Energie.

S. 251-256.

Verfügbar unter: https://netenergy.ch/fileadmin/webmaster/dokumente/Jahresberichte/PVJB2013_4th.pdf
Krüsi, Bertil; Lustenberger, Petra Irène; Hepenstrick, Daniel; Ott, Thomas,

2012.

iGräser - das innovative und benutzerfreundliche mobile Gräserbestimmungs-Tool fürs iPhone.

Ingenieurbiologie.

2012(3), S. 61-71.

Verfügbar unter: https://doi.org/10.21256/zhaw-2033
Ott, Thomas; Krüsi, Bertil,

2012.

Zukünftige Bestimmungsschlüssel denken mit.

Transfer.

2012(3), S. 6.

Verfügbar unter: https://doi.org/10.21256/zhaw-4410
Christen, Markus; Ott, Thomas; Schwarz, Daniel,

2011.

Spaltpilz in den Parteien : mit Physik die Politik erklären.

Neue Zürcher Zeitung.

Mündliche Konferenzbeiträge und Abstracts

Ott, Thomas; Glüge, Stefan; Schüle, Martin; Hill, Christopher,

2018.

A dynamic network approach for the analysis of pathogen transmission chains.

In:

The 26th Nonlinear Dynamics of Electronic Systems Conference, (NDES 2018), Acireale, 11-13 June 2018.
Schüle, Martin; Ott, Thomas; Schwendner, Peter,

2018.

Influence networks in financial markets : forecast scenarios.

In:

NDES 2018, 26th Nonlinear Dynamics of Electronic Systems Conference, Acireale, Italy, June, 11-13 2018.
Schwendner, Peter; Schüle, Martin; Ott, Thomas; Hillebrand, Martin,

2018.

Sentiment in European sovereign bonds.

In:

3rd European COST Conference on Mathematics for Industry in Switzerland, Winterthur, 6 September 2018.

Verfügbar unter: https://www.zhaw.ch/storage/engineering/institute-zentren/iamp/sp_acss/Schwendner_20180906.pdf
Schüle, Martin; Ott, Thomas; Schwendner, Peter,

2017.

Forecasting correlation structures.

In:

NDES 2017, 25th Nonlinear Dynamics of Electronic Systems Conference, Zernez, 5-7 June 2017.

Verfügbar unter: https://www.ini.uzh.ch/~lorimert/NDES2017/assets/NDES2017_programme_booklet.pdf
Ott, Thomas; Füchslin, Rudolf Marcel,

2017.

The future's back : first generic models of self-defeating road traffic forecasting.

In:

NDES 2017, 25th Nonlinear Dynamics of Electronic Systems Conference, Zernez, 5-7 June 2017.
Ott, Thomas,

2016.

(Machine × Human Learning)^n – Partners Learning Together : Keynote.

In:

CeBIT 2016, Hannover, Deutschland, 14.-18. März 2016.
Hillebrand, Martin; Ott, Thomas; Schüle, Martin; Schwendner, Peter,

2016.

European government bond dynamics and stability policies.

In:

ADEMU Workshop on Risk-Sharing Mechanisms for the European Union, Fiesole, Italy, 20-21 May 2016.
Kauf, Peter; Ott, Thomas,

2016.

Humans and algorithms : creation and measurement of economic value in demand forecasting.

In:

3rd Swiss Conference on Data Science, Winterthur, 16. September 2016.

Verfügbar unter: https://www.youtube.com/watch?v=NF_KG0bIjZU
Ott, Thomas,

2015.

A spin physics-based framework for hybrid recommendation systems.

In:

NDES 2015, 23th Nonlinear Dynamics of Electronic Systems Conference, Como, Italy, 2015.
Ott, Thomas,

2015.

Big Data und Produktionssteuerung in der Lebensmittel-Industrie.

In:

Wädenswiler Lebensmitteltagung: Lebensmittel 4.0, Wädenswil, 19. November 2015.
Ott, Thomas,

2014.

Complex forecasting.

In:

Rüdlinger Tagung 2014, Rüdlingen, 9.-10. September 2014.
Ott, Thomas,

2014.

Stauentwicklungen : Daten- und modellgestützte Erkenntnisse zur Verkehrsflussprognose und Verkehrsflussoptimierung.

In:

1. Nationaler Anti-Stautag Viasuisse, Luzern, 19. Mai 2014.
Grabherr, Patrizia Margrith; Ott, Thomas; Brombach, Christine; Hauck, René; Müller, Claudia,

2013.

Benutzerfreundliches Tool zur Nachhaltigkeitsbeurteilung von Menüs in der Gemeinschaftsgastronomie.

In:

50. Wissenschaftlicher Kongress der DGE, Bonn, Deutschland, 20.-22. März 2013.
Ott, Thomas; Christen, Markus; Niederberger, Thomas; Aebersold, Reto; Suleiman, Aryobsei; Hofstetter, Reto,

2013.

A semi-supervised learning system for micro-text classification.

In:

NDES 2013, 21st Nonlinear Dynamics of Electronic Systems Conference, Bari, Italy, 2013.
Niederberger, Thomas; Ott, Thomas; Albert, Carlo; Pomati, Francesco,

2013.

A sequential classification concept using flawed training data : an application to flow cytometry.

In:

NDES 2013, 21st Nonlinear Dynamics of Electronic Systems Conference, Bari, Italy, 2013.

Zurück