Strategic Innovation Management on the Basis of Searching and Mining Press Releases. - Jan Finzen; Maximilien Kintz; Holger Kett; Steffen Koch 001 (WEBIST, 2009)

Making sense of ratings: a common quantitative feedback ontology. - Florian Marienfeld; Edzard Höfig; Andrea Horch; Maximilien Kintz; Jan Finzen (I-SEMANTICS, 2011)

Innovation Mining - Supporting Web Mining in Early Innovation Phases. - Jan Finzen; Maximilien Kintz (WEBIST, 2011)

A Simple Method for Mining and Visualizing Company Relations based on Web Sources. - Maximilien Kintz; Jan Finzen (WEBIST, 2011)

Case Studies. - Martin Schäffler; Anke Thede; Bastian Leferink; Kay Kadner; Andrea Horch; Maximilien Kintz; Monika Weidmann; Moritz Weiten (Handbook of Service Description, 2012)

A Semantic Dashboard Description Language for a Process-oriented Dashboard Design Methodology. - Maximilien Kintz (Modiquitous@EICS, 2012)

GeCCO: German Crafts & Craftsmen Ontology - A Common Crafts Ontology. - Andrea Horch; Maximilien Kintz (WEBIST, 2012)

Leveraging Model-Driven Monitoring for Event-Driven Business Process Control. - Falko Koetter; Monika Kochanowski; Maximilien Kintz (EMoV+MinoPro@Modellierung, 2014)

Model-Driven Data Warehousing for Service-Based Business Process Monitoring. - Falko Koetter; Monika Kochanowski; Maximilien Kintz; Thomas Renner; Philipp Sigloch (SRII Global Conference, 2014)

Unified Compliance Modeling and Management using Compliance Descriptors. - Falko Koetter; Maximilien Kintz; Monika Kochanowski; Christoph Fehling; Philipp Gildein; Frank Leymann; Anette Weisbecker (CLOSER (2), 2016)

An Universal Approach for Compliance Management Using Compliance Descriptors. - Falko Koetter; Maximilien Kintz; Monika Kochanowski; Thatchanok Wiriyarattanakul; Christoph Fehling; Philipp Gildein; Sebastian Wagner 001; Frank Leymann; Anette Weisbecker (CLOSER (Selected Papers), 2016)

Creating User-specific Business Process Monitoring Dashboards with a Model-driven Approach. - Maximilien Kintz; Monika Kochanowski; Falko Koetter (MODELSWARD, 2017)

A model-driven methodology for the development of monitoring dashboards. - Maximilien Kintz (Fraunhofer Verlag, 2018)

Assessing Software Quality of Agile Student Projects by Data-mining Software Repositories. - Falko Koetter; Monika Kochanowski; Maximilien Kintz; Benedikt Kersjes; Ivan Bogicevic; Stefan Wagner 001 (CSEDU (2), 2019)

Towards a Privacy Compliant Cloud Architecture for Natural Language Processing Platforms. - Matthias Blohm; Claudia Dukino; Maximilien Kintz; Monika Kochanowski; Falko Koetter; Thomas Renner (ICEIS (1), 2019)

Goal-based Evaluation of Text Mining Results in an Industrial Use Case. - Jens Drawehn; Matthias Blohm; Maximilien Kintz; Monika Kochanowski (ICPRAM, 2020)

Can AutoML outperform humans? An evaluation on popular OpenML datasets using AutoML Benchmark. - Marc Hanussek; Matthias Blohm; Maximilien Kintz (CoRR, 2020)

Leveraging Automated Machine Learning for Text Classification: Evaluation of AutoML Tools and Comparison with Human Performance. - Matthias Blohm; Marc Hanussek; Maximilien Kintz (ICAART (2), 2021)

VitrAI: Applying Explainable AI in the Real World. - Marc Hanussek; Falko Kötter; Maximilien Kintz; Jens Drawehn (IntelliSys (2), 2021)

Evaluation of Representation Models for Text Classification with AutoML Tools. - Sebastian Brändle; Marc Hanussek; Matthias Blohm; Maximilien Kintz (CoRR, 2021)

Combining Deep Learning and Reasoning for Address Detection in Unstructured Text Documents. - Matthias Engelbach; Dennis Klau; Jens Drawehn; Maximilien Kintz (CoRR, 2022)

Fine-Tuning and Aligning Question Answering Models for Complex Information Extraction Tasks. - Matthias Engelbach; Dennis Klau; Felix Scheerer; Jens Drawehn; Maximilien Kintz (KDIR, 2023)

Combining Embeddings and Domain Knowledge for Job Posting Duplicate Detection. - Matthias Engelbach; Dennis Klau; Maximilien Kintz; Alexander Ulrich (Computación y Sistemas (CyS), 2024)