A Survey on Clustering Techniques for Situation Awareness. - Stefan Mitsch; Andreas Müller 015; Werner Retschitzegger; Andrea Salfinger; Wieland Schwinger (APWeb, 2013)

Maintaining Situation Awareness over Time - A Survey on the Evolution Support of Situation Awareness Systems. - Andrea Salfinger; Werner Retschitzegger; Wieland Schwinger (TAAI, 2013)

Staying aware in an evolving world - Specifying and tracking evolving situations. - Andrea Salfinger; Werner Retschitzegger; Wieland Schwinger (CogSIMA, 2014)

SEM2 suite - Towards a tool suite for supporting knowledge management in situation awareness systems. - Andrea Salfinger; Daniel Neidhart; Werner Retschitzegger; Wieland Schwinger; Stefan Mitsch (IRI, 2014)

A tour of BeAware - A situation awareness framework for control centers. - Norbert Baumgartner; Stefan Mitsch; Andreas Müller 015; Werner Retschitzegger; Andrea Salfinger; Wieland Schwinger (Inf. Fusion, 2014)

CrowdSA - towards adaptive and situation-driven crowd-sensing for disaster situation awareness. - Andrea Salfinger; Werner Retschitzegger; Wieland Schwinger; Birgit Pröll (CogSIMA, 2015)

Crowd-Sensing Meets Situation Awareness: A Research Roadmap for Crisis Management. - Andrea Salfinger; Sylva Girtelschmid; Birgit Pröll; Werner Retschitzegger; Wieland Schwinger (HICSS, 2015)

Mining the disaster hotspots - situation-adaptive crowd knowledge extraction for crisis management. - Andrea Salfinger; Wieland Schwinger; Werner Retschitzegger; Birgit Pröll (CogSIMA, 2016)

Near real-time detection of crisis situations. - Sylva Girtelschmid; Andrea Salfinger; Birgit Pröll; Werner Retschitzegger; Wieland Schwinger (MIPRO, 2016)

Situation Mining: Event Pattern Mining for Situation Model Induction. - Andrea Salfinger (CogSIMA, 2019)

Framing Situation Prediction as a Sequence Prediction Problem: A Situation Evolution Model Based on Continuous-Time Markov Chains. - Andrea Salfinger (FUSION, 2019)

Reinforcement Learning Meets Cognitive Situation Management: A Review of Recent Learning Approaches from the Cognitive Situation Management Perspective. - Andrea Salfinger (CogSIMA, 2020)

Towards Neural Situation Evolution Modeling: Learning a Distributed Representation for Predicting Complex Event Sequences. - Andrea Salfinger; Lauro Snidaro (FUSION, 2020)

Deep learning for cognitive load monitoring: a comparative evaluation. - Andrea Salfinger (UbiComp/ISWC Adjunct, 2020)

Teaching Drones on the Fly: Can Emotional Feedback Serve as Learning Signal for Training Artificial Agents? - Manuela Pollak; Andrea Salfinger; Karin Anna Hummel (CoRR, 2022)

Probing the Consistency of Situational Information Extraction with Large Language Models: A Case Study on Crisis Computing. - Andrea Salfinger; Lauro Snidaro (CogSIMA, 2024)

Leveraging LLMs for Knowledge Engineering from Technical Manuals: A Case Study in the Medical Prosthesis Manufacturing Domain. - Francesca Incitti; Andrea Salfinger; Lauro Snidaro; Sri Challapalli (FUSION, 2024)

Probing the Situational Reasoning Capabilities of ChatGPT. - Andrea Salfinger; Lauro Snidaro (CogSIMA, 2025)