LiCoRMS - Towards a Resource Management System Based on Lifecycle and Content Information. - Axel Schulz 001; Benedikt Schmidt 001; Heiko Paulheim (CONTEXT, 2011)

Emulating Runtime Workflow Adaptation and Aspect Weaving by Recursive Rule-Based Sub-Process Selection - A Model Transformation Approach. - Markus Döhring; Axel Schulz 001; Ivan Galkin (EDOC, 2012)

Getting User-Generated Content Structured: Overcoming Information Overload in Emergency Management. - Axel Schulz 001; Jens Ortmann; Florian Probst (GHTC, 2012)

Crisis information management in the Web 3.0 age. - Axel Schulz 001; Heiko Paulheim; Florian Probst (ISCRAM, 2012)

Can We Use Your Router, Please?: Benefits and Implications of an Emergency Switch for Wireless Routers. - Kamill Panitzek; Immanuel Schweizer; Axel Schulz 001; Tobias Bönning; Gero Seipel; Max Mühlhäuser (Int. J. Inf. Syst. Crisis Response Manag., 2012)

Using Data Mining on Linked Open Data for Analyzing E-Procurement Information - A Machine Learning approach to the Linked Data Mining Challenge 2013. - Eneldo Loza Mencía; Simon Holthausen; Axel Schulz 001; Frederik Janssen (DMoLD, 2013)

I See a Car Crash: Real-Time Detection of Small Scale Incidents in Microblogs. - Axel Schulz 001; Petar Ristoski; Heiko Paulheim (ESWC (Satellite Events), 2013)

A Multi-Indicator Approach for Geolocalization of Tweets. - Axel Schulz 001; Aristotelis Hadjakos; Heiko Paulheim; Johannes Nachtwey; Max Mühlhäuser (ICWSM, 2013)

A fine-grained sentiment analysis approach for detecting crisis related microposts. - Axel Schulz 001; Tung Dang Thanh; Heiko Paulheim; Immanuel Schweizer (ISCRAM, 2013)

Evaluating Multi-label Classification of Incident-related Tweet. - Axel Schulz 001; Eneldo Loza Mencía; Thanh-Tung Dang; Benedikt Schmidt 001 (#MSM, 2014)

What Is Good for One City May Not Be Good for Another One: Evaluating Generalization for Tweet Classification Based on Semantic Abstraction. - Axel Schulz 001; Frederik Janssen (S4SC@ISWC, 2014)

Mining user-generated content for incidents = Auswertung von nutzergenerierten Inhalten für Schadensereignisse. - Axel Schulz 001 (2014)

More Features Are Not Always Better: Evaluating Generalizing Models in Incident Type Classification of Tweets. - Axel Schulz 001; Christian Guckelsberger; Benedikt Schmidt 001 (EMNLP, 2015)

Small-Scale Incident Detection based on Microposts. - Axel Schulz 001; Benedikt Schmidt 001; Thorsten Strufe (HT, 2015)

Event-based Clustering for Reducing Labeling Costs of Incident-Related Microposts. - Axel Schulz 001; Petar Ristoski; Johannes Fürnkranz; Frederik Janssen (MUD@ICML, 2015)

Event-Based Clustering for Reducing Labeling Costs of Event-related Microposts. - Axel Schulz 001; Frederik Janssen; Petar Ristoski; Johannes Fürnkranz (ICWSM, 2015)

Accurate pollutant modeling and mapping: Applying machine learning to participatory sensing and urban topology data. - Axel Schulz 001; Jakob Karolus; Frederik Janssen; Immanuel Schweizer (NetSys, 2015)

A rapid-prototyping framework for extracting small-scale incident-related information in microblogs: Application of multi-label classification on tweets. - Axel Schulz 001; Eneldo Loza Mencía; Benedikt Schmidt 001 (Inf. Syst., 2016)

Semantic Abstraction for generalization of tweet classification: An evaluation of incident-related tweets. - Axel Schulz 001; Christian Guckelsberger; Frederik Janssen (Semantic Web, 2017)