Michael Kaufmann

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 16

Top Topics

Text Categorization

Interactive Visual

Target Function

Top Venues

Publications

Michael Kaufmann, Andreas Meier
Fuzzy Ethizität: Radar für ethische Künstliche Intelligenz. HMD Prax. Wirtsch. 59 (2) (2022)
Michael Kaufmann
The Lokahi Prototype: Toward the automatic Extraction of Entity Relationship Models from Text. CoRR (2022)
Patrick Giesser, Gabriel Stechschulte, Anna da Costa Vaz, Michael Kaufmann
Implementing Efficient and Scalable In-Database Linear Regression in SQL. IEEE BigData (2021)
Michael Kaufmann, Gabriel Stechschulte, Anna Huber
Efficient and Accurate In-Database Machine Learning with SQL Code Generation in Python. CoRR (2021)
Michael Kaufmann
Big Data Management Canvas: A Reference Model for Value Creation from Data. Big Data Cogn. Comput. 3 (1) (2019)
Tobias Eljasik-Swoboda, Felix Engel, Michael Kaufmann, Matthias L. Hemmje
Word Embedding Based Extension of Text Categorization Topic Taxonomies. CERC (2019)
Michael Kaufmann
The Lokahi Prototype: Toward the automatic Extraction of Entity Relationship Models from Text. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (2019)
Michael Kaufmann, Patrick Siegfried, Lukas Huck, Jürg Stettler
Analysis of Tourism Hotspot Behaviour Based on Geolocated Travel Blog Data: The Case of Qyer. ISPRS Int. J. Geo Inf. 8 (11) (2019)
Tobias Eljasik-Swoboda, Michael Kaufmann, Matthias L. Hemmje
No Target Function Classifier - Fast Unsupervised Text Categorization using Semantic Spaces. DATA (2018)
Andreas Waldis, Luca Mazzola, Michael Kaufmann
Concept Extraction with Convolutional Neural Networks. DATA (2018)
Andreas Waldis, Luca Mazzola, Michael Kaufmann
Concept Recognition with Convolutional Neural Networks to Optimize Keyphrase Extraction. DATA (Revised Selected Papers) (2018)
Luca Mazzola, Patrick Siegfried, Andreas Waldis, Michael Kaufmann, Alexander Denzler
A Domain Specific ESA Inspired Approach for Document Semantic Description. IEEE Conf. on Intelligent Systems (2018)
Michael Kaufmann, Tobias Eljasik-Swoboda, Christian Nawroth, Kevin Berwind, Marco X. Bornschlegl, Matthias L. Hemmje
Modeling and Qualitative Evaluation of a Management Canvas for Big Data Applications. DATA (2017)
Alexander Denzler, Michael Kaufmann
Toward granular knowledge analytics for data intelligence: Extracting granular entity-relationship graphs for knowledge profiling. IEEE BigData (2017)
Tobias Swoboda, Christian Nawroth, Michael Kaufmann, Matthias L. Hemmje
Toward Interactive Visualization of Results from Domain-Specific Text Analytics. BDA@AVI (2016)
Marco X. Bornschlegl, Kevin Berwind, Michael Kaufmann, Felix C. Engel, Paul Walsh, Matthias L. Hemmje, Ruben Riestra
IVIS4BigData: A Reference Model for Advanced Visual Interfaces Supporting Big Data Analysis in Virtual Research Environments. BDA@AVI (2016)