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Suche nach „[TC Grafenau]“ hat 192 Publikationen gefunden
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    DigitalAngewandte InformatikTC Grafenau

    Zeitschriftenartikel

    Ali Fallah Tehrani, M. Strickert, Diane Ahrens

    Class of Monotone Kernelized Classifiers on the basis of the Choquet Integral

    Expert Systems, vol. 37, no. First published: 21 January 2020, pp. 1-15

    2020

    DOI: 10.1111/exsy.12506

    Abstract anzeigen

    The key property of monotone classifiers is that increasing (decreasing) input values lead to increasing (decreasing) the output value. Preserving monotonicity for a classifier typically requires many constraints to be respected by modeling approaches such as artificial intelligence techniques. The type of constraints strongly depends on the modeling assumptions. Of course, for sophisticated models such conditions might be very complex. In this study we present a new family of kernels that we call it Choquet kernels. Henceforth it allows for employing popular kernel‐based methods such as support vector machines. Instead of a naïve approach with exponential computational complexity we propose an equivalent formulation with quadratic time in the number of attributes. Furthermore, since coefficients derived from kernel solutions are not necessarily monotone in the dual form, different approaches are proposed to monotonize coefficients. Finally experiments illustrate beneficial properties of the Choquet kernels.

    DigitalAngewandte InformatikTC Grafenau

    Zeitschriftenartikel

    Ali Fallah Tehrani, M. Strickert, Diane Ahrens

    A Class of Monotone Kernelized Classifiers on the Basis of the Chopuet Integral

    [Accepted for publication]

    Expert Systems

    2020

    DigitalAngewandte InformatikTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    Monica I. Ciolacu, Leon Binder, Heribert Popp

    Enabling IoT in Education 4.0 with Biosensors from Wearables and Artificial Intelligence

    Proceedings of the 2019 IEEE 25th International Symposium for Design and Technology in Electronic Packaging (SIITME) [Oct 23-26, 2019; Cluj-Napoca, Romania], New York, NY, USA

    2020

    DOI: 10.1109/SIITME47687.2019.8990763

    Abstract anzeigen

    A major challenge for Education 4.0 is to make use of wearable devices for helping students in monitoring their learning behavior and their activities (steps, heart rate variability, and heart rate) in real-time. The first aim of this paper is to present our implementation of adaptivity and Artificial Intelligence (AI) methods within the Education 4.0 process. In this work, we investigate embedded biosensors (noninvasive, low-cost, and distraction-free) used in smartphones and smartwatches. The next objective is to enable IoT for Higher Education, i.e. a novel system assisted by AI that takes embedded biosensor data and environmental data into account in order to estimate students’ wellbeing and health. In this regard, we propose a framework that uses wearable devices to collect data with biofeedback methods to support students’ academic success.

    DigitalTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    T. Wimmer, Michael Scholz

    Online Product Descriptions - Boost for your Sales?

    14. Internationale Tagung Wirtschaftsinformatik, Siegen

    2019

    DigitalTC Grafenau

    Zeitschriftenartikel

    Michael Scholz, C. Brenner, O. Hinz

    AKEGIS: automatic keyword generation for sponsored search advertising in online retailing

    Decision Support Systems, vol. 119, no. April, pp. 96-106

    2019

    DOI: 10.1016/j.dss.2019.02.001

    Abstract anzeigen

    Sponsored search advertisers face several complex decisions when planning and implementing a new sponsored search advertising campaign. These decisions include the selection of keywords, the definition of landing pages, and the formulation of bidding strategies. Relatively low attention has been paid on supporting the selection of keywords in recent research and most studies on sponsored search advertising focus on the formulation of bidding strategies and strategies for budget planning. We present a novel approach for automatically generating sponsored search keywords that relies on the theory of consumer search behavior. Our approach uses an online store's internal search log to extract keywords used by consumers within their search process, because recent research has shown that especially consumers with a high conversion probability that exhibit goal-directed instead of exploratory search patterns use an online store's internal search engine. We empirically test our approach based on a store's internal search engine and identify the effects of this approach by comparing it to a state-of-the-art approach. Our analysis reveals that our approach substantially increased the number of profitable keywords, improved the store's conversion rate by approximately 41%, and decreased the average cost per click by more than 70%.

    DigitalTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    A. Keller, Michael Scholz

    Trading on Cryptocurrency Markets: Analyzing the Behavior of Bitcoin Investors

    Proceedings of the 40th International Conference on Information Systems

    2019

    DigitalAngewandte InformatikTC Grafenau

    Vortrag

    Robert Hable

    Maschinelles Lernen erfolgreich nutzen

    DigiCamp zum Thema "4.0 braucht Künstliche Intelligenz (KI) - Praktische KI erleben", Deggendorf

    2019

    DigitalAngewandte InformatikTC Grafenau

    Vortrag

    Diane Ahrens

    Digitale Daseinsfürsorge in Stadt und Land

    2019

    DigitalAngewandte InformatikTC Grafenau

    Vortrag

    Frank Edenharter, Hanna Schürzinger

    Weil Heimat Zukunft hat - Anwendungsorientierte Digitalisierungsstrategien im ländlichen Raum Bayerns am Beispiel digitaler Arbeitswelten

    8. Nachwuchsworkshop und 23. Jahrestagung des Arbeitskreises "Ländliche Räume", Göttingen

    2019

    DigitalAngewandte InformatikTC Grafenau

    Vortrag

    Diane Ahrens

    Digitales Dorf - "Alles Smart!?"

    Rotunde der Salzburg AG, Salzburg, Österreich

    2019

    DigitalAngewandte InformatikTC Grafenau

    Vortrag

    Robert Hable

    Fitting Additive Models With Regularized Kernel Methods: Methodology, Robustness Properties, and Business Applications

    DAGStat Conference 2019, München

    2019

    DigitalNachhaltigAngewandte InformatikTC Grafenau

    Vortrag

    Diane Ahrens, Bernhard Bauer

    Prognose und Monitoring in der Gemeinschaftsverpflegung - Optimierter Wareneinsatz durch Big Data

    12. Wissenschaftliches Symposium "Supply Management", Mannheim

    2019

    DigitalAngewandte InformatikTC Grafenau

    Vortrag

    Diane Ahrens

    Zukunftsdörfer - Digitalisierung als Chance für den ländlichen Raum

    Keynote

    Akademiegespräch, München

    2019

    DigitalAngewandte InformatikTC Grafenau

    Vortrag

    Magdalena Gruber

    International Big Data Center

    ETZ/EUS - Joint public workshop, Pilsen, Tschechische Republik

    2019

    DigitalMobilNachhaltigAngewandte InformatikTC Grafenau

    Vortrag

    Markus Straßberger

    Vernetzte Mobilität im ländlichen Raum: Wenn die Mobilität im Stau steckt

    2019

    DigitalAngewandte InformatikTC Grafenau

    Vortrag

    Florian Wahl

    Produktion 4.0 in KMUs - Datenerhebung und Datenanalyse

    2019

    DigitalAngewandte InformatikTC Grafenau

    Vortrag

    Florian Wahl

    Produktion 4.0 in KMUs - Datenerhebung und Datenanalyse

    2019

    DigitalAngewandte InformatikTC Grafenau

    Vortrag

    Florian Wahl

    Data Science with Python

    2019

    DigitalAngewandte InformatikTC Grafenau

    Vortrag

    Florian Wahl

    Building Industry 4.0 logistics applications with MicroPython and ESP32 MCUs

    Konferenz EuroPython 2019, Basel, Schweiz

    2019

    NachhaltigAngewandte InformatikTC Grafenau

    Vortrag

    Michael Fernandes, Florian Wahl

    Tomatenkrimi - Der Foodscanner als Ermittler

    Keynote

    Tag der offenen Türe des Technologie Campus Grafenau, Grafenau

    2019