Prof. Dr. Thomas Ott
Prof. Dr. Thomas Ott
ZHAW
School of Life Sciences and Facility Management
Institute of Computational Life Sciences
Schloss
8820 Wädenswil
Work at ZHAW
Position
Director of Institute of Computational Life Sciences
Focus
Bio-inspired Computing, Applied Neuroinformatics (Pattern Recognition, Machine Learning), Modelling of Complex Systems Forecast methodologies for traffic and logistics Digital Health Assistance Systems
Teaching
- Systeme und Modelle der Physik (BSc ADLS)
- Optimisation Methods and Bio-inspired Algorithms (MSc Life Sciences ACLS)
Network
Social media
Projects
- Stability of self-organizing net fragments as inductive bias for next-generation deep learning / Team member / Project ongoing
- Shapescience – AI for morpholigcally based fruit variety recognition / Project leader / Project ongoing
- An experimental framework to allow evidence-based sustainability policymaking / Project leader / Project completed
- Extension SARS-CoV-2 Intervention modelling / Team member / Project completed
- Predictive Analytics for Hospital Supply Chain Management / Project leader / Project completed
- PiaBreed: Machine Learning for automated ovulation and birth monitoring in horses / Project leader / Project completed
- Fighting bites with bytes: Promoting public health with crowdsourced tick prevention / Project co-leader / Project completed
- Smartstones - AI for plant breeding / Project leader / Project completed
- Neuronal Growth Modelling (BioDynaMo Initial Project) / Project leader / Project completed
- Infectiology++ - Germ Tracking / Project leader / Project completed
- Next Generation: Neural Recommendation System / Project leader / Project completed
- Efficient Urban Pluvial Flood Simulation / Team member / Project completed
- Comprehensive Sales Forecasting for Supply Chain Optimization in Food Industry / Project leader / Project completed
- Multi-Asset Investment Process using Bayes Ensembles of Trading Models / Project leader / Project completed
- Intelligent sensor-based assistance system for retail / Project leader / Project completed
- Design of an online expert system based on Bayes’ian Networks and its first market implementation / Project leader / Project completed
- Remote sensing for grape ripeness analysis / Project leader / Project completed
- Clustering of high-throughput flow-cytometry data / Project leader / Project completed
- Wirksamkeit von Kostform-Optimierungen in Schweizer Akutspitälern / Team member / Project completed
- Online clustering for crowdsourcing platform / Project leader / Project completed
- Forecasting techniques and systems for congestions / Project leader / Project completed
- Feasibility study for IR-based discrimination of fruits and vegetables / Project leader / Project completed
- A tool for coherence analysis and clustering of survey data / Project leader / Project completed
- Machine learning methods for wine IR spectra analysis / Project leader / Project completed
- Coherence measures / Project leader / Project completed
- Statistical Analysis of E-Recycling Management SWCO / Project leader / Project completed
Publications
-
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).
Available from: 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), pp. 107924.
Available from: 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, pp. 46-51.
Available from: 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).
Available from: 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), pp. 2150015.
Available from: 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), pp. 1950053.
Available from: https://doi.org/10.1142/S0218127419500536
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Tanner, Carmen; Narvaez, Darcia; Christen, Markus; Ott, Thomas,
2016.
Using thesauruses as a heuristics for mapping values.
Cognitive Systems Research.
40, pp. 59-74.
Available from: 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), pp. 1-25.
Available from: 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), pp. 556-569.
Available from: 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), pp. 1350011.
Available from: https://doi.org/10.1142/S0219525913500112
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Savi, Daniel; Kasser, Ueli; Ott, Thomas,
2013.
Waste Management.
33(12), pp. 2737-2743.
Available from: https://doi.org/10.1016/j.wasman.2013.08.014
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Landis, Florian; Ott, Thomas; Stoop, Ruedi,
2010.
Hebbian self-organizing integrate-and-fire networks for data clustering.
Neural Computation.
22(1), pp. 273-288.
Available from: https://doi.org/10.1162/neco.2009.12-08-926
-
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, eds.,
Applied data science : lessons learned for the data-driven business.
Cham:
Springer.
pp. 371-386.
Available from: 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, eds.,
What makes us moral? : on the capacities and conditions for being moral.
Dordrecht:
Springer.
pp. 73-96.
Library of Ethics and Applied Philosophy ; 31.
Available from: https://doi.org/10.1007/978-94-007-6343-2_5
-
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.
Available from: https://doi.org/10.21256/zhaw-30070
-
Gygax, Gregory; Ratnaweera, Nils; Tischhauser, Werner; Smits, Theo H. M.; Laube, Patrick; Ott, Thomas,
2023.
In:
Schneider, Johannes Josef; Weyland, Mathias Sebastian; Flumini, Dandolo; Füchslin, Rudolf Marcel, eds.,
Artificial Life and Evolutionary Computation.
XV International Workshop on Artificial Life and Evolutionary Computation (WIVACE), Winterthur, Switzerland, 15-17 September 2021.
Cham:
Springer.
pp. 24-31.
Communications in Computer and Information Science ; 1722.
Available from: 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.
Available from: 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, eds.,
Artificial Life and Evolutionary Computation.
XV International Workshop on Artificial Life and Evolutionary Computation (WIVACE), Winterthur, Switzerland, 15-17 September 2021.
Cham:
Springer.
pp. 163-171.
Communications in Computer and Information Science ; 1722.
Available from: https://doi.org/10.1007/978-3-031-23929-8_16
-
Uwate, Yoko; Nishio, Yoshifumi; Ott, Thomas,
2021.
Frustrated complex networks of nonlinear circuits with stochastically coupling [paper].
In:
2020 International SoC Design Conference (ISOCC).
International SoC Design Conference (ISOCC), Yeosu, South Korea, 21-24 October 2020.
IEEE.
pp. 181-182.
Available from: https://doi.org/10.1109/ISOCC50952.2020.9333023
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Uwate, Yoko; Ott, Thomas; Nishio, Yoshifumi,
2021.
Effect of stochastically coupling on frustrated triangular oscillatory network [paper].
In:
2021 IEEE International Symposium on Circuits and Systems (ISCAS).
IEEE International Symposium on Circuits and Systems (ISCAS), Daegu, Korea, 22-28 May 2021.
IEEE.
Available from: https://doi.org/10.1109/ISCAS51556.2021.9401462
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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.
pp. 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.
pp. 282-285.
-
Gygax, Gregory; Füchslin, Rudolf Marcel; Ott, Thomas,
2020.
In:
Proceedings of the NOLTA 2020 Conference.
2020 International Symposium on Nonlinear Theory and Its Applications (NOLTA2020), Online Conference, 16-19 November 2020.
pp. 278-281.
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Wróbel, Anna; Gygax, Gregory; Schmid, Andi; Ott, Thomas; et al.,
2020.
In:
Schilling, Frank-Peter; Stadelmann, Thilo, eds.,
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.
pp. 257-265.
Lecture Notes in Computer Science ; 12294.
Available from: 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, eds.,
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.
pp. 324-330.
Available from: https://doi.org/10.1162/isal_a_00182
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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.
pp. 1-5.
Available from: https://doi.org/10.1109/ISCAS.2018.8351665
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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.
pp. 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, eds.,
Proceedings of the 9th International Joint Conference on Computational Intelligence.
9th International Joint Conference on Computational Intelligence, Funchal, Portugal, 1-3 November 2017.
SciTePress.
pp. 179-185.
Available from: https://doi.org/10.5220/0006485401790185
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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.
pp. 389-392.
Available from: 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.
pp. 176-179.
Available from: http://www.ieice.org/nolta/symposium/archive/2014/nolta14fullvol.pdf
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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.
pp. 180-183.
Available from: 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., eds.,
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.
pp. 379-386.
Communications in Computer and Information Science ; 438.
Available from: 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.
Available from: https://doi.org/10.1109/ECCTD.2013.6662220
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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.
pp. 70-73.
Available from: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6293766
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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.
pp. 249-252.
Available from: 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.
pp. 541-544.
Available from: 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.
pp. 71-78.
Lecture Notes in Computer Science ; 5163.
Available from: 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.
pp. 120-123.
Available from: http://www.ieice.org/proceedings/NOLTA2008/nolta08fullvol.pdf
-
Füchslin, Rudolf Marcel; Krütli, Pius; Ott, Thomas; Scheidegger, Stephan; Schneider, Johannes Josef; Seric, Marko; Smieszek, Timo; Weyland, Mathias S.,
2022.
In:
ALIFE 2022: The 2022 Conference on Artificial Life.
International Conference on Artificial Life (ALIFE), online, 18-22 July 2022.
Cambridge:
MIT Press.
pp. 75.
Available from: https://doi.org/10.1162/isal_a_00504
-
Kauf, Peter; Ott, Thomas,
2017.
Smart together : lernfähige Prognose-Algorithmen unterstützen Menschen.
Logistics Innovation.
2017(1), pp. 32-35.
-
Dorndorf, Ulrich; Kauf, Peter; Ott, Thomas,
2015.
Bessere Absatzprognosen : eine Frage der Faktoren.
Logistics Innovation.
2015(2), pp. 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), pp. 103-106.
Available from: https://doi.org/10.2299/jsp.17.103
-
Köhler, Sven; Ott, Thomas,
2013.
Einflussfaktoren auf das Patientenaufkommen in Notfallstationen.
Transfer.
2013(1), pp. 7.
Available from: 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.
pp. 251-256.
Available from: 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), pp. 61-71.
Available from: https://doi.org/10.21256/zhaw-2033
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Ott, Thomas; Krüsi, Bertil,
2012.
Zukünftige Bestimmungsschlüssel denken mit.
Transfer.
2012(3), pp. 6.
Available from: https://doi.org/10.21256/zhaw-4410
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Christen, Markus; Ott, Thomas; Schwarz, Daniel,
2011.
Spaltpilz in den Parteien : mit Physik die Politik erklären.
Neue Zürcher Zeitung.
-
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.
Available from: 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.
Available from: 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.
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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.
Available from: https://www.youtube.com/watch?v=NF_KG0bIjZU
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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.
In:
Rüdlinger Tagung 2014, Rüdlingen, 9.-10. September 2014.
-
Ott, Thomas,
2014.
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.