A distributed, semiotic-inductive, and human-oriented approach to web-scale knowledge retrieval. - Edy Portmann; Michael Alexander Kaufmann; Cédric Graf (Web-KRM@CIKM, 2012)

Induktive unscharfe Datenassoziierung - Fallstudie enersis suisse AG. - Michael A. Kaufmann; Thomas Koller; Daria Kurochkina; Kilian Stoffel (HMD Prax. Wirtsch., 2013)

Combining Bottom-Up and Top-Down Generation of Interactive Knowledge Maps for Enterprise Search. - Michael A. Kaufmann; Gwendolin Wilke; Edy Portmann; Knut Hinkelmann (KSEM, 2014)

Die Geister die wir riefen. - Michael A. Kaufmann (HMD Prax. Wirtsch., 2014)

Towards Cloud-Based Knowledge Capturing Based on Natural Language Processing. - Christian Nawroth; Matthäus Schmedding; Holger Brocks; Michael A. Kaufmann; Michael Fuchs 002; Matthias L. Hemmje (Cloud Forward, 2015)

Merging Bottom-Up and Top-Down Knowledge Graphs for Intuitive Knowledge Browsing. - Gwendolin Wilke; Sandro Emmenegger; Jonas Lutz; Michael A. Kaufmann (FQAS, 2015)

IFC-Filter: Membership function generation for inductive fuzzy classification. - Michael A. Kaufmann; Andreas Meier 001; Kilian Stoffel (Expert Syst. Appl., 2015)

Fuzzylogik: Eine Revolution des Geistes - Ein Versuch über mögliche Ursachen der Kontroverse um die Zadehsche Logik. - Michael A. Kaufmann (Inform. Spektrum, 2015)

IVIS4BigData: A Reference Model for Advanced Visual Interfaces Supporting Big Data Analysis in Virtual Research Environments. - Marco X. Bornschlegl; Kevin Berwind; Michael Kaufmann 004; Felix C. Engel; Paul Walsh; Matthias L. Hemmje; Ruben Riestra (BDA@AVI, 2016)

Toward Interactive Visualization of Results from Domain-Specific Text Analytics. - Tobias Swoboda; Christian Nawroth; Michael Kaufmann 004; Matthias L. Hemmje (BDA@AVI, 2016)

Toward Cloud-based Classification and Annotation Support. - Tobias Swoboda; Michael A. Kaufmann; Matthias L. Hemmje (CLOSER (2), 2016)

Intuitive Knowledge Connectivity: Design and Prototyping of Cross-Platform Knowledge Networks. - Michael A. Kaufmann; Andreas Waldis; Patrick Siegfried; Gwendolin Wilke; Edy Portmann; Matthias L. Hemmje (KSEM, 2016)

Toward granular knowledge analytics for data intelligence: Extracting granular entity-relationship graphs for knowledge profiling. - Alexander Denzler; Michael Kaufmann 004 (IEEE BigData, 2017)

Modeling and Qualitative Evaluation of a Management Canvas for Big Data Applications. - Michael Kaufmann 004; Tobias Eljasik-Swoboda; Christian Nawroth; Kevin Berwind; Marco X. Bornschlegl; Matthias L. Hemmje (DATA, 2017)

No Target Function Classifier - Fast Unsupervised Text Categorization using Semantic Spaces. - Tobias Eljasik-Swoboda; Michael Kaufmann 004; Matthias L. Hemmje (DATA, 2018)

Concept Extraction with Convolutional Neural Networks. - Andreas Waldis; Luca Mazzola; Michael Kaufmann 004 (DATA, 2018)

Concept Recognition with Convolutional Neural Networks to Optimize Keyphrase Extraction. - Andreas Waldis; Luca Mazzola; Michael Kaufmann 004 (DATA (Revised Selected Papers), 2018)

A Domain Specific ESA Inspired Approach for Document Semantic Description. - Luca Mazzola; Patrick Siegfried; Andreas Waldis; Michael Kaufmann 004; Alexander Denzler (IEEE Conf. on Intelligent Systems, 2018)

The Lokahi Prototype: Toward the automatic Extraction of Entity Relationship Models from Text. - Michael Kaufmann 004 (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2019)

Word Embedding Based Extension of Text Categorization Topic Taxonomies. - Tobias Eljasik-Swoboda; Felix Engel 002; Michael Kaufmann 004; Matthias L. Hemmje (CERC, 2019)

Big Data Management Canvas: A Reference Model for Value Creation from Data. - Michael Kaufmann 004 (Big Data Cogn. Comput., 2019)

Analysis of Tourism Hotspot Behaviour Based on Geolocated Travel Blog Data: The Case of Qyer. - Michael Kaufmann 004; Patrick Siegfried; Lukas Huck; Jürg Stettler (ISPRS Int. J. Geo Inf., 2019)

Implementing Efficient and Scalable In-Database Linear Regression in SQL. - Patrick Giesser; Gabriel Stechschulte; Anna da Costa Vaz; Michael Kaufmann 004 (IEEE BigData, 2021)

Social Media Mining to Study Social User Group by Visualizing Tweet Clusters using Word2Vec, PCA and K-Means. - Md Morshed Jaman Adnan; Matthias L. Hemmje; Michael A. Kaufmann (BIRDS+WEPIR@CHIIR, 2021)

Efficient and Accurate In-Database Machine Learning with SQL Code Generation in Python. - Michael Kaufmann 004; Gabriel Stechschulte; Anna Huber (CoRR, 2021)

Fuzzy Ethizität: Radar für ethische Künstliche Intelligenz. - Michael Kaufmann 004; Andreas Meier 001 (HMD Prax. Wirtsch., 2022)

SQL and NoSQL Databases - Modeling, Languages, Security and Architectures for Big Data Management, Second Edition - Michael Kaufmann 004; Andreas Meier 001 (Springer, 2023)

In-Database Feature Extraction to Improve Early Detection of Problematic Online Gambling Behavior. - Gabriel Stechschulte; Malte Wintner; Matthias L. Hemmje; Jürg Schwarz; Suzanne Lischer; Michael Kaufmann 004 (IEEE Trans. Comput. Soc. Syst., 2024)