Publikationen

Democratisation of AI with Understandable and Easily Accessible Machine Learning Operations

07/2026

Stichwörter: AI, Machine Learning

Erschienen im Buch: Artificial Intelligence Applications and Innovations (S. 179-193)

Autor:innen: Liza Obermeier (inovex), Niklas Küchen (inovex), Muhammad Daniel Bin Mohd Khir (inovex), Tobias Heim Galindo (inovex)

Predicting Battery Discharge Behavior for Sparse Data with Augmentation

06/2025

Stichwörter: AI, Data Science

Erschienen im Rahmen der Konferenz AIAI 2025 

Autor:innen: Liza Obermeier (inovex), Niklas Küchen (inovex), Muhammad Daniel Bin Mohd Khir (inovex), Tetyana Turiy (inovex), Johanna Dolinga (inovex), Thomas Gründer (Testo SE & Co.), Benjamin Landenberger (Testo SE & Co.), André Ebert (inovex)

Modeling and Mitigating Gender Bias in Matching Problems: A Simulation-Based Approach with Quota Constraints

05/2025

Stichwörter: AI, Data Science

Erschienen in: The International FLAIRS Conference Proceedings, 38. (2025)

Autor:innen: Florian Wilhelm (inovex), Anja Pilz (damedic)

COSMIC-X: Kollaborative Smart Services für industrielle Wertschöpfungsnetze

11/2023

Stichwörter: IIoT, Gaia-x, KI

Erschienen in: atp magazin 11-12/2023: No Limit für die Digitalisierung!

Autor:innen: Nicolai Maisch (Uni Stuttgart), Stefan Igel (Stackable), Marisa Mohr (inovex), Penelope Mück (KROHNE), Simon Zehentreiter (Datarella), Nicholas Voigt (Schwäbische Werkzeugmaschinen), Christoph Reich (Hochschule Furtwangen)

Exploiting Foundation Models for Spoken Language Identification

10/2023

Stichwörter: Spoken Language Identification, Foundation Models, Whisper, Audio Analysis

Paper erschienen auf Konferenz LWDA 2023 / Lernen, Wissen, Daten, Analysen 2023

Autoren: Benedikt Augenstein (ehemals inovex), Darjan Salaj (inovex)

AutoTiM - An Open-Source Service for Automated Provisioning and Operation of Time Series Based Machine Learning Models

06/2023

Stichwörter: Machine Learning, AI, Internet of Things

Paper zur Konferenz AIAI 2023: Artificial Intelligence Applications and Innovations

Autor:innen: André Ebert, Jakob Kempter, Marina Siebold, Robert Pesch, Tetyana Turiy, Tevin Tchuinkam, Thomas Caffin Sune (alle inovex)

Modellierung der Nachfrageunsicherheit zur gezielten Steuerung auf Ziel-Servicelevel

06/2023

Stichwörter: KI, Data Science

Erschienen in: Künstliche Intelligenz und Data Science in Theorie und Praxis

Verlag: Springer Berlin Heidelberg

Autoren: Matthias Ulrich (REWE), Robin Senge (inovex)

Teacher Network Calibration Improves Cross-Quality Knowledge Distillation

04/2023

Stichwörter: Machine Learning, Computer Vision, Knowledge Distillation, AI

Preprint, Abrufbar via arxiv.org

Autor:innen: Pia Čuk (AdaLab UG), Robin Senge (inovex), Mikko Lauri (Department of Computer Science, Universität Hamburg), Simone Frintrop (Department of Computer Science, Universität Hamburg)

An In-depth Comparison of Experiment Tracking Tools for Machine Learning Applications

01/2023

Stichwörter: MLOps, Machine Learning, Model Tracking, AI

Journal Paper zum Konferenzpaper „Comparison of Experiment Tracking Frameworks in Machine Learning Environments“

Erschienen in: International Journal of Advances in Software

Autoren: Tim Budras (Karlsruhe University of Applied Sciences),
Maximilian Blanck (inovex), Tilman Berger (inovex), Andreas Schmidt (Karlsruhe University of Applied Sciences & Karlsruhe Institute of Technology)

Javascript-Alternative: Dart ist mehr als Flutter

11/2022

Stichwörter: Apps, Dart, Flutter, Javascript-Alternative

Artikel erschienen in: t3n Ausgabe 70

Autor: Christoph Menzel

Language over Labels: Contrastive Language Supervision Exceeds Purely Label-Supervised Classification Performance on Chest X-Rays

11/2022

Stichwörter: NLP, Computer Vision, Deep Learning

Workshop-Beitrag und Paper anlässlich des AACL-IJCNLP Student Research Workshops

Autoren: Anton Orell Wiehe, Florian Schneider, Sebastian Blank, Xintong Wang, Hans-Peter Zorn und Chris Biemann

Feedback Mechanisms of an iOS App to Record RGBD Data for AI-Based Diagnosis and Monitoring of Infant Head Deformation

10/2022

Stichwörter: AI, 3D, Computer Vision

In: 3DBODY.TECH 2022 13th International Conference and Exhibition on 3D Body Scanning and Processing Technologies

Autor:innen: Fabian Rapp, Samuel Zeitvogel, Christian Meder (inovex) , Kai Stoevesandt, Christian Wernet, Astrid Laubenheimer

Long Input Dialogue Summarization with Sketch Supervision for Summarization of Primetime Television Transcripts

10/2022

Stichwörter: AI, NLP

In: COLING 2022: Workshop Automatic Summarization for Creative Writing

Auf Basis der Masterarbeit von Thien Nguyen

Autor:innen: Nataliia Kees (inovex), Thien Nguyen (Technical University of Munich), Tobias Eder (Technical University of Munich), Georg Groh (Technical University of Munich)

Learning from Ups and Downs: Multivariate Ordinal Pattern Representations for Time Series

09/2022

Stichwörter: Time Series, Representation Learning

Dissertation, University of Lübeck, 2022

Diese Dissertation ist in Kooperation mit inovex entstanden. 

Autorin: Dr. Marisa Mohr

Comparison of Experiment Tracking Frameworks in Machine Learning Environments

05/2022

Stichwörter: MLOps, Machine Learning, Model Tracking, AI

In: DBKDA 2022 : The Fourteenth International Conference on Advances in Databases, Knowledge, and Data Applications

Auf Basis der Bachelorarbeit von Tim Budras

Autoren: Tim Budras (Karlsruhe University of Applied Sciences), Maximilian Blanck (inovex), Tilman Berger (inovex), Andreas Schmidt (Karlsruhe Institute of Technology)

An Interpretable Model for Collaborative Filtering Using an Extended Latent Dirichlet Allocation Approach

05/2022

Stichwörter: Recommender Systems, Data Science, Mathematics, LDA

In: The International FLAIRS Conference Proceedings, 35. (2022)

Autor:innen: Florian Wilhelm (inovex), Marisa Mohr (inovex), Lien Michiels (University of Antwerp)

Multivariate Ordinal Patterns for Symmetry Approximation in Dynamic Probabilistic Relational Models

03/2022

Stichwörter: Artificial Intelligence, Relational Models, Lifting, Ordinal Pattern, Symmetry

In: Long, G., Yu, X., Wang, S. (eds)  AI 2021: Advances in Artificial Intelligence. AI 2022. Lecture Notes in Computer Science, vol 13151. Springer.

Autor:innen: Nils Finke (University of Lübeck), Marisa Mohr (inovex), Ralf Möller (University of Lübeck)

Ordering Principal Components of Multivariate Fractional Brownian Motion for Solving Inverse Problems

02/2022

Stichwörter: Data Science, Stochastic process, Fractional Brownian Motion, Multivariate Time Series, Ordinal Pattern, Permutation Entropy, Hurst Parameter Estimation, Feature Extraction

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2021 (APSIPA-ASC)

Als Teil der Dissertation von Marisa Mohr.

Autor:innen: Marisa Mohr (University of Lübeck, inovex), Ralf Möller (University of Lübeck, Deutsches Forschungszentrum für Künstliche Intelligenz)

Active Learning for Argument Strength Estimation

11/2021

Stichwörter: AI, Active Learning, NLP

Proceedings of the Second Workshop on Insights from Negative Results in NLP

Association for Computational Linguistics

Autor:innen: Nataliia Kees (inovex, LMU München), Michael Fromm (LMU München), Evgeniy Faerman (LMU München), Thomas Seidl (LMU München)

Classification-based model selection in retail demand forecasting

10/2021

Stichwörter: Forecasting, Inventory, e-commerce, Retailing, Model selection

International Journal of Forecasting, Volume 37, Issue 4 (October – December 2021)

2021 International Institute of Forecasters. Published by Elsevier B.V.

Autoren: Matthias Ulrich (Department of Business Administration and Economics, Bielefeld University), Hermann Jahnke (Department of Business Administration and Economics, Bielefeld University), Roland Langrock (Department of Business Administration and Economics, Bielefeld University), Robert Pesch (inovex), Robin Senge (inovex)

A Summary of Canonical Multivariate Permutation Entropies on Multivariate Fractional Brownian Motion

10/2021

Stichwörter: Data Science, Stochastic process, Fractional Brownian motion, Time series, Ordinal pattern,  Feature extraction

Advances in Science, Technology and Engineering Systems Journal Vol. 6, No. 5, 107-124 (2021)

Special Issue on Innovation in Computing, Engineering Science & Technology

ASTES Journal ISSN: 2415-6698

Autor:innen: Marisa Mohr (inovex, University of Lübeck), Ralf Möller (University of Lübeck, Deutsches Forschungsinstitut für Künstliche Intelligenz)

Matrix Factorization for Collaborative Filtering Is Just Solving an Adjoint Latent Dirichlet Allocation Model After All

10/2021

Stichwörter: Data Science, Recommender Systems, Collaborative Filtering, Personalisation

Fifteenth ACM Conference on Recommender Systems, RecSys

Autor: Florian Wilhelm (inovex)

SocialVisTUM: An Interactive Visualization Toolkit for Correlated Neural Topic Models on Social Media Opinion Mining

09/2021

Co-Publikation und Talk bei der RANLP 2021 (Recent Advanced in Natural Language Processing) vom 01.09. bis 03.09.2021

Autor:innen: Gerhard Hagerer, Martin Kirchhoff, Hannah Danner, Robert Pesch, Mainak Ghosh, Archishman Roy, Jiaxi Zhao, Georg Groh

Zusammenarbeit zwischen der TUM Social Computing und inovex

A Priori Approximation of Symmetries in Dynamic Probabilistic Relational Models

09/2021

Stichwörter: Data Science, Computer Science, Relational Models , Lifting,  Ordinal Pattern,  Symmetry 

KI 2021: Advances in Artificial Intelligence. KI 2021. Lecture Notes in Computer Science, vol 12873.

Hrsg.: Edelkamp S., Möller R., Rueckert E. (eds). Springer, Cham.

Autor:innen: Nils Finke (Oldendorff Carriers GmbH & Co. KG), Marisa Mohr (inovex)

Blueprint for a Production-Ready Information Retrieval System based on Multi-Modal Embeddings

09/2021

Stichwörter: Artificial Intelligence

Lecture Notes in Informatics (LNI), Gesellschaft für Informatik, Bonn, 2021.

Zusammenarbeit mit den Studenten aus dem TUM-DI-Lab Praktikum der TU München

Autor:innen: André Ebert (inovex GmbH), Piotr Chodyko (TU München), Kyle Hiroyasu (TU München), Festina Ismali (TU München), Hyein Koo (TU München), Julia Kronburger (inovex), Robert Pesch (inovex)

Recommendations for Data-Driven Degradation Estimation with Case Studies from Manufacturing and Dry-Bulk Shipping

05/2021

Stichwörter: Artificial Intelligence, Remaining useful lifetime, Case Studies, Bearing, Vessel performance

Research Challenges in Information Science

15th International Conference, RCIS 2021, Limassol, Cyprus, May 11–14, 2021, Proceedings

Editors: Cherfi, Samira, Perini, Anna, Nurcan, Selmin (Eds.)

Im Rahmen des Forschungsprojektes KOSMoS.

Auf Basis der Bachelorarbeit von Alexander Lontke.

Autor:innen: Nils Finke (University of Lübeck, Oldendorff Carriers GmbH & Co. KG), Marisa Mohr (University of Lübeck, inovex), Alexander Lontke, Marwin Zünfle (University of Würzburg), Samuel Kounev (University of Würzburg), Ralf Möller (University of Lübeck)

Semantic views – Interactive hierarchical exploration for patent landscaping

05/2021

Stichwörter: Artificial Intelligence, Patent landscaping, Word embeddings, Hierarchical clustering, Text analysis, Semantic exploration, Multi-dimensional exploration, Visual user interface

World Patent Information, Vol. 65, 2021

Auf Basis der Masterthesis von Tatyana Skripnikova.

Autor:innen: Tatyana Skripnikova (Karlsruhe Institute of Technology), Hidir Aras (Leibniz Institute for Information Infrastructure), Anna Weisshaar, Sebastian Blank, Hans-Peter Zorn (inovex)

On the Behaviour of Weighted Permutation Entropy on Fractional Brownian Motion in the Univariate and Multivariate Setting

04/2021

Stichwörter: Data Science, Stochastic process, Fractional Brownian motion, Time series, Ordinal pattern,  Feature extraction

The International FLAIRS Conference Proceedings, Vol. 34, 2021

Als Teil der Dissertation von Marisa Mohr.

Autor:innen: Marisa Mohr (University of Lübeck, inovex), Dr. Florian Wilhelm (inovex), Ralf Möller (University of Lübeck)

Windowing Models for Abstractive Summarization of Long Texts

03/2021

Stichwörter: Artificial Intelligence, Abstractive summarization,  Dynamic long text summarization 

Advances in Information Retrieval. ECIR 2021. Lecture Notes in Computer Science, vol 12657, Hiemstra D., Moens MF., Mothe J., Perego R., Potthast M., Sebastiani F. (Ed.) Springer, Cham.

Auf Basis der Masterarbeit von Leon Schüller.

Autor:innen: Leon Schüller (University of Mannheim), Florian Wilhelm (inovex), Nico Kreiling (inovex), Goran Glavaš (University of Mannheim)

Projekt KOSMoS: Mit Blockchain transparent und firmenübergreifend warten

03/2021

Stichwörter: Data Science & Machine Learning, Werkzeugmaschinen, Blockchain, Predictive Maintenance, Federated Learning

atp magazin 03/2021, Bd. 63, Nr.3, Vulkan-Verlag GmbH, 2021

Im Rahmen des Forschungsprojektes KOSMoS

Gefördert vom Bundesministerium für Bildung und Forschung

Autoren: Tobias Bux (ISW, Uni Stuttgart), Jonas Groß (FSBC, Frankfurt School of Finance and Management), Constantin Lichti (FSBC, Frankfurt School of Finance and Management), Marisa Mohr (inovex)

A Platform for interactive Data-Science with Apache Spark for On-Premises Infrastructure

02/2021

Stichwörter: Cloud, Kubernetes, Data Science, Jupyter, Spark, Kubernetes, YARN, Cluster, UEQ, Notebooks

Proceedings of the 11th International Conference on Cloud Computing and Services Science – CLOSER, 2021, SciTePress.

Auf Basis der Masterarbeit von Rafal Lokuciejewski.

Autoren: Rafal Lokuciejewski (University of Lübeck), Dominik Schüssele (inovex), Florian Wilhelm (inovex), Sven Groppe (University of Lübeck)

On the Behaviour of Permutation Entropy on Fractional Brownian Motion in a Multivariate Setting

12/2020

Stichwörter: Data Science, Permutation Entropy, Ordinal Pattern Representations, Fractional Brownian Motion, Multivariate Time Series

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2020 (APSIPA-ASC), 2020.

Als Teil der Dissertation von Marisa Mohr.

Autor:innen: Marisa Mohr (University of Lübeck, inovex), Nils Finke (University of Lübeck), Ralf Möller (University of Lübeck)

Content-based Recommendations for Radio Stations with Deep Learned Audio Fingerprints

09/2020

Stichwörter: Artificial Intelligence, Recommender Systems, Hybrid Radio, Multimedia Services, Recommender Systems, Unsupervised Learning, Deep Audio Fingerprints, Deep Learning

INFORMATIK 2020, Reussner, R. H., Koziolek, A. & Heinrich, R. (Ed.), Gesellschaft für Informatik, Bonn, 2021.

Autor:innen: Stefan Langer (Ludwig-Maximilians-Universität München), Liza Obermeier (inovex), André Ebert (inovex), Markus Friedrich (Ludwig-Maximilians-Universität München), Emma Munisamy (Ludwig-Maximilians-Universität München)

Towards Collaborative Predictive Maintenance Leveraging Private Cross-Company Data

09/2020

Stichwörter: Internet of Things, Big Data, Artificial Intelligence, Industrial Internet of Things, Predictive Maintenance, Remaining Useful Lifetime, Blockchain, Federated Learning

INFORMATIK 2020, Reussner, R. H., Koziolek, A. & Heinrich, R. (Ed.), Gesellschaft für Informatik, Bonn, 2021.

Im Rahmen des Forschungsprojektes KOSMoS

Gefördert vom Bundesministerium für Bildung und Forschung

Autor:innen: Marisa Mohr (inovex), Christian Becker (inovex), Ralf Möller (University of Luebeck, Institute of Information Systems), Matthias Richter (inovex)

Demand Forecasting using Long Short-Term Memory Neural Networks

08/2020

Stichwörter: Artificial Intelligence, E-grocery, Time Series, Demand Forecasting, LSTM, Deep Learning

Preprint. Auf Basis der Masterthesis von Marta Golabek

Autor:innen: Marta Golabek (Hochschule Karlsruhe), Robin Senge (inovex), Rainer Neumann (Hochschule Karlsruhe)

KI und ML: Mit der Schnellboot-Flotte zur Service-Plattform

07/2020

Stichwörter: Internet of Things, Artificial Intelligence, Serviceökosystem, Prozessindustrie, technischer Service, Industrie 4.0

atp magazin 06-07/2020, Bd. 62, Nr.6, Vulkan-Verlag GmbH, 2020

Im Rahmen des Forschungsprojektes Servicemeister.

Autor:innen: Attila Bilgic (KROHNE), Martin Krawczyk-Becker (KROHNE), Christian Lange (KROHNE), Florian Wilhelm (inovex)

Towards safe, beneficial, human-enhancing AI

06/2020

Stichwörter: Artificial Intelligence, Social Robots

How can AI and robots be combined so that they complement and contribute to our society, instead of posing a threat? Towards safe, beneficial, human-enhancing AI

Delft University of Technology challenge: Robots in society – blessing or curse?

⭐️  Winner of 2020

Autorin: Silvia Santano

Federated Machine Learning: über Unternehmensgrenzen hinaus aus Produktionsdaten lernen

05/2020

Stichwörter: Data Science & Machine Learning, Industrial Internet of Things, Blockchain, Federated Learning

atp magazin 05/2020, Bd. 62, Nr.5, Vulkan-Verlag GmbH, 2020

Im Rahmen des Forschungsprojektes KOSMoS

Gefördert vom Bundesministerium für Bildung und Forschung

Autor:innen: Christian Becker (inovex), Marisa Mohr (inovex)

Programming in Natural Language with fuse - Synthesizing Methods from Spoken Utterances Using Deep Natural Language Understanding

05/2020

Stichwörter: Artificial Intelligence, Natural Language Processing, Natural Language Understanding, Deep Learning

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020, Association for Computational Linguistics.

Auf Basis der Masterarbeit von Vanessa Steurer.

Autor:innen: Sebastian Weigelt (Karlsruhe Institute of Technology), Vanessa Steurer (inovex), Tobias Hey (Karlsruhe Institute of Technology), Walter Tichy (Karlsruhe Institute of Technology)

Blockchain-Lösungen für den produktionstechnischen Mittelstand

04/2020

Stichwörter: Internet of Things, Cloud, Edge & Embedded, Artificial Intelligence, Industrial Internet of Things, Werkzeugmaschinen, Blockchain

Im Rahmen des Forschungsprojektes KOSMoS

Gefördert vom Bundesministerium für Bildung und Forschung

wt Werkstattstechnik online, Jahrgang 110 (2020), Heft 04

Autor:innen: Marisa Mohr (inovex), Tobias Bux (University of Stuttgart)

New Approaches in Ordinal Pattern Representations for Multivariate Time Series

03/2020

Stichwörter: Data Science, Multivariate Time Series, Ordinal Pattern, Permutation Entropy, Feature Extraction, Classification

Proceedings of the 33rd International Florida Artificial Intelligence Research Society Conference (FLAIRS-33), 2020, AAAI Press

Als Teil der Dissertation von Marisa Mohr

Autor:innen: Marisa Mohr, Florian Wilhelm (inovex), Mattis Hartwig, Ralf Möller, Karsten Keller (Uni Lübeck)

Roger that! Learning How Laypersons Teach New Functions to Intelligent Systems

02/2020

Stichwörter: Artificial Intelligence, Natural Language Understanding, Natural Language Processing, Recurrent Neural Networks, Convolutional Neural Networks, Intelligent System, End User Programming

IEEE 14th International Conference on Semantic Computing (ICSC), 2020

Best Paper Award

Autor:innen: Sebastian Weigelt (Karlsruhe Institute of Technology), Vanessa Steurer (inovex), Tobias Hey (Karlsruhe Institute of Technology), Walter Tichy (Karlsruhe Institute of Technology)

At Your Command! An Empirical Study on How Laypersons Teach Robots New Functions

02/2020

Stichwörter:  Artificial Intelligence, Natural Language Understanding, Natural Language Processing, Recurrent Neural Networks, Convolutional Neural Networks, Intelligent System, End User Programming

IEEE 14th International Conference on Semantic Computing (ICSC), 2020

Autor:innen: Sebastian Weigelt (Karlsruhe Institute of Technology), Vanessa Steurer (inovex), Tobias Hey (Karlsruhe Institute of Technology), Walter Tichy (Karlsruhe Institute of Technology)

Handling Concept Drifts in Regression Problems – the Error Intersection Approach

01/2020

Stichwörter: Data Science, Artificial Intelligence, Machine learning, Concept drift, Demand Prediction

Proceedings of 15th International Conference on Wirtschaftsinformatik, 2020, Potsdam.

Auf Basis der Masterthesis von Marcel Hofmann.

Autor:innen: Lucas Baier (Karlsruhe Institute of Technology), Marcel Hofmann (inovex), Niklas Kühl (Karlsruhe Institute of Technology), Marisa Mohr (inovex), Gerhard Satzger

Distributional regression for demand forecasting in e-grocery

11/2019

Stichwörter: Data Science, Artificial Intelligence, Forecasting, Inventory, E-commerce, Retailing

European Journal of Operational Research, 2019

Autor:innen: Matthias Ulrich (Bielefeld University), Hermann Jahnke (Bielefeld University), Roland Langrock (Bielefeld University), Robert Pesch (inovex), Robin Senge (inovex)

Sequential Transfer Learning in NLP for German Text Summarization

06/2019

Stichwörter: Artificial Intelligence, Natural language understanding, Machine Learning, Information Retrievel, BERT

Proceedings of the 4th edition of the Swiss Text Analytics Conference, 2019

Autoren: Pascal Fecht, Sebastian Blank, Hans-Peter Zorn (alle inovex)

Konzeption und Entwicklung von Data Driven Products / Datenprodukte

02/2019

Stichwörter: Data Science, Product Discovery

Invited Paper

Data Science. Grundlagen, Architekturen und Anwendungen, dpunkt.verlag, 2019.

Uwe Haneke / Stephan Trahasch / Michael Zimmer / Carsten Felden (Ed.)

Autor: Christoph Tempich

Querying NoSQL with Deep Learning to Answer Natural Language Questions

01/2019

Stichwörter: Artificial Intelligence, NLP, Deep Learning

Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 9416-9421, 2019.

Auf Basis der Masterthesis von Sebastian Blank.

Autoren: Sebastian Blank (inovex), Hans-Peter Zorn (inovex), Dr. Florian Wilhelm (inovex), Achim Rittinger (Karlsruhe Institute of Technology)

Parallelized Training of Deep NN – Comparison of Current Concepts and Frameworks

Distributional Regression for Demand Forecasting in e-grocery

07/2018

Stichwörter: Data Science, Artificial Intelligence, Forecasting, Inventory, E-commerce, Retailing

International Workshop of Statistical Modelling 2018 an der University of Bristol

Autoren: Hermann Jahnke (Bielefeld University), Matthias Ulrich (Bielefeld University, Department of Business Administration and Economics), Robert Pesch (inovex), Robin Senge (inovex), Roland Langrock (Bielefeld University, Department of Business Administration and Economics)

Affective Robots: Evaluation of Automatic Emotion Recognition Approaches on a Humanoid Robot towards Emotionally Intelligent Machines

04/2018

Stichwörter: Artificial Intelligence, Social Robots, Affective computing, Emotion, Recognition humanoid robot, Human-Robot-Interaction (HRI), Social robots

International Journal of Mechanical, Industrial and Aerospace Sciences, 11.0(6), 2018

⭐️  Best Paper Award

Autor:innen: Silvia Santano (inovex), Luigi Lo Iacono (TH Köln), Christian Meder (inovex)

Optimierung von Analytischen Abfragen über Statistical Linked Data mit MapReduce

10/2015

Stichwörter: Big Data, Linked Data, Data Cube, Parallelisierung, MapReduce

Proceedings of the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB

Masterthesis von Sébastian Jelsch

Autoren/Betreuer: Sébastien Jelsch (inovex), Benedikt Kämpgen (FZI Forschungszentrum Informatik), Dr. Stefan Igel (inovex)

Big Data und Agilität im Marketing

11/2015

Stichwörter: Big Data, Agile

Agile Business Intelligence, Theorie und Praxis

dpunkt.verlag, 2015

Hrsg.: Stephan Trahasch / Michael Zimmer

Autoren: Moritz Aschoff (inovex), Dr. Stefan Igel (inovex), Thomas Brodowski (defacto)