The Strategic Importance of Program integrated Advertising: Meaning and Acceptance of Brand Placements
Gröner, Patrick (2018)
Business Meets Technology – 1st International Conference of the University of Applied Sciences Ansbach. Hochschule für angewandte Wissenschaften Ansbach, 25.01.2018.
Optimization of Citric Acid Production by Yarrowia lipolytica
Beltram, B; Hildebrand, L; Linder, S; Nizam, I; Petschl, S; Schönauer, I; Gaisser, Sibylle (2018)
Beltram, B; Hildebrand, L; Linder, S; Nizam, I; Petschl, S; Schönauer, I...
Business Meets Technology – 1st International Conference of the University of Applied Sciences Ansbach. Hochschule für angewandte Wissenschaften Ansbach. Ansbach, 2018.
Technical Compliance and Avoidance of Liability
von Blumenthal, Astrid; Bartsch, Anja (2018)
Business Meets Technology. Proceedings of the 1st International Conference of the University of Applied Sciences Ansbach 25th to 27th January 2018. Aachen: Shaker (campus_edition Hochschule Ansbach), S. 112-115.
Learning Strategies of German University Students of Spanish as a Foreign Language: Profile of the Independent Learner in a European Context
Gebhard, Christian Alexander ; Mahúgo Cardenes, María del Carmen (2018)
Business Meets Technology. Proceedings of the 1st International Conference of the University of Applied Sciences Ansbach 25th to 27th January 2018. Aachen: Shaker (campus_edition Hochschule Ansbach), S. 90-93.
E|Melt: Entwicklung eines Demonstrators zum Aufzeigen der Wirksamkeit von Energieeffizienzmaßnahmen im NE-Schmelz- und Druckgussbetrieb
Buswell, Andreas; Schlüter, Wolfgang (2018)
Internationaler Deutscher Druckgusstag 2018. Nürnberg, 15.01.2018.
Fashion Product Recommendation: The Predictive Power of Consumer and Product Attributes Derived from Big Data
Piazza, Alexander (2018)
Doctoral dissertation, Friedrich-Alexander-Universität Erlangen-Nürnberg.
On Cooley-Tukey-type-algorithms based on generalized Chebyshev polynomials
Seifert, Bastian; Hüper, Knut; Uhl, Christian (2017)
FoCM 2017, 10.-19.07.2017, Barcelona.
How can communication between Autonomous Vehicles & Humans be improved by using Virtual Reality? A safe, cost-and time-efficient method for the validation of Human Machine Interaction concepts in the context of public transportation in Singapore
Stadler, Sebastian; Cornet, Henriette; Kong, Penny; Frenkler, Fritz (2017)
Asia Design Engineering Workshop - A-DEWS 2017, Seoul, Korea.
Virtual Reality Environments for Presentation, Elaboration, and Evaluation of Autonomous Vehicles for Public Transportation in Singapore
Stadler, Sebastian (2017)
1st Research Alumni Conference – Living and Mobility in Smart Cities, TUM, 2017, University Press, S. 68-74.
Knowledge transfer and science communication - the example of synthetic biology
Gaisser, Sibylle (2017)
24.-25.11.2017. GASB I Conference. Marburg.
Dynamic network analysis of the Euro2016 final: preliminary results
Kröckel, Pavlina; Piazza, Alexander; Neuhofer, Katrin (2017)
2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), S. 114-119.
DOI: 10.1109/FiCloudW.2017.98
Peer Reviewed
Social networks have been applied in football, or football match analysis to analyze the passing distributions between teams. However, analysis has been mostly done on a manually collected data by considering the widely adopted network metrics such as betweenness and closeness centrality. In this paper, we use professional tracking event data provided by OPTA Sports and analyze the final game of the Euro2016 between Portugal and France. We use Gephi and the NetworkX Python library and apply dynamic network analysis by integrating the timestamps of the passes. We further look into traditional performance metrics from both teams and make an attempt to connect those to the network results and the outcome of the game.
All you can repeat – Ein interaktives Audio-Gedächtnisspiel mit visueller Erweiterung
Uhl, Andreas; Pöpel, Cornelius (2017)
Mensch Computer 2017 - Workshopband. Regensburg, 10.-13.09.2017: Books on Demand, S. 511-514.
DOI: 10.18420/muc2017-ws15-0321
Peer Reviewed
A cancer pharmacogenomic screen powering crowd-sourced advancement of drug combination prediction
Menden, Michael P.; Wang, Dennis; Guan, Yuanfang; et al, ...; Sauer, Sebastian; et al, . (2017)
Menden, Michael P.; Wang, Dennis; Guan, Yuanfang; et al, ...; Sauer, Sebastian...
bioRxiv, the Preprint Server for Biology, 200451.
DOI: 10.1101/200451
Kunststoffformteil mit farbiger UV-Markierung, Verfahren zur Herstellung einer Markierung des Kunststoffformteils sowie In-Mould-Folie mit fotochromen Pigmenten (EP 3 225 375 A1)
Wirthwein, Marcus; Sover, Alexandru (2017)
Europäisches Patentamt.
E|Melt - Simulative Bestimmung des Potentials von Energieeffizienzmaßnahmen in Aluminium-Schmelz- und Druckgussbetrieben
Buswell, Andreas; Schlüter, Wolfgang (2017)
GFB Kolloquium 2017. Fraunhofer IGCV. Augsburg, 21.09.2017.
Geförderte Weiterbildung Arbeitsloser: Qualifizierung in der Altenpflege verbessert die Beschäftigungschancen
Dauth, Christine M.; Lang, Julia (2017)
IAB-Kurzbericht 19/2017.
Open Access
A polarized fast radio burst at low Galactic latitude
Petroff, E.; Burke-Spolaor, S.; Keane, E. F.; McLaughlin, M. A.; Miller , R.; Andreoni, I.; et al., ..; Geißelsöder, Stefan; et al., . (2017)
Petroff, E.; Burke-Spolaor, S.; Keane, E. F.; McLaughlin, M. A.; Miller , R....
Monthly Notices of the Royal Astronomical Society 469 (4), S. 4465-4482.
DOI: 10.1093/mnras/stx1098
Open Access Peer Reviewed
Implementation and Feasibility of Electronic Patient-Reported Outcome (ePRO) Data Entry in the PRAEGNANT Real-Time Advanced and Metastatic Breast Cancer Registry
Wallwiener, Markus; Heindl, Felix; Brucker, Sara Y.; Taran, Florin-Andrei; Hartkopf, Andreas D.; Overkamp, Friedrich; et al., ..; Volz, Bernhard; et al., ..; Gass, Paul (2017)
Wallwiener, Markus; Heindl, Felix; Brucker, Sara Y.; Taran, Florin-Andrei...
Geburtshilfe und Frauenheilkunde 2017, 77 (08), S. 870-878.
DOI: 10.1055/s-0043-116223
Open Access
Emotions and fashion recommendations: evaluating the predictive power of affective information for the prediction of fashion product preferences in cold-start scenarios
Piazza, Alexander; Kröckel, Pavlina; Bodendorf, Freimut (2017)
WI '17: Proceedings of the International Conference on Web Intelligence, S. 1234-1240.
DOI: 10.1145/3106426.3109441
Peer Reviewed
Emotions have a significant impact on the purchasing process. Due to novel affective computing approaches, affective information of users can be acquired in implicit and therefore non-intrusive manner. Recent research in the field of recommender systems indicates that the incorporation of affective user information in the prediction model has a positive impact on the recommender systems accuracy. Existing research mainly focused on product recommendations in the movie anfd music domain. Our paper investigates the impact of affective emotions on fashion products, which is one of the largest consumer industries. We integrate the users' mood and their emotion in the prediction model, and the results are compared to the baseline model using rating data only. For this, we generate a dataset with 337 participants, 64 products, and 10816 ratings. We determine the mood information using the PANAS questionnaire, and the emotion by using the SAM self-assessment method. The affective information is integrated leveraging Factorization Machines. The evaluation of the offline experiments reveals that in new item cold-start scenarios the mood information has a positive impact on the prediction accuracy, whereas the emotion information has a negative impact.
Body measure-aware fashion product recommendations: evaluating the predictive power of body scan data
Piazza, Alexander; Süßmuth, Jochen; Bodendorf, Freimut (2017)
Workshop on Recommendation in Complex Scenarios co-located with 11th ACM Conference on Recommender Systems (RecSys 2017) 1892, S. 5-8.
Peer Reviewed
Fashion product consumer are faced with large and fast changing product o erings. e fashion purchase decision process is complex, as the consumer has to consider various in uencing factors like current fashion trends, what fashion products t to their personality, and what products t to their physical appearance like hair colors or body measures. Based on novel technologies, 3D body avatars can be reconstructed from 3D or 2D data. From these avatars, body measures can be determined. e objective of this research is to investigate the predictive performance of body measures extracted from a 3D body scanner for predicting fashion item preferences. erefore, item preferences and body scans from 200 users were collected. From the body scans, 11 body measures are extracted and integrated into a prediction model using Factorization Machines. e results from a cross-validation show, that including body measurements signi cantly improves the prediction performance of the recommendation model, especially in new user scenarios, when no information about the fashion product preferences of the active user is known.
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