FAUSTO GERMAN

RESEARCH

TACKLING COMPLEX PROBLEMS

My research focuses on the intersection of machine learning, explainable AI, and interactive sensemaking to help explain the outputs of artificial intelligence models. I am interested in developing applications that leverage machine learning to assist individuals in extracting and synthesizing information from large datasets while maintaining model interpretability and transparency.

CURRENT PROJECT

I am currently working on an algorithm for automatically extracting coherent narratives from unstructured text, image, or multimodal data. This research has applications ranging from information synthesis in digital journalism to insight discovery in intelligence analysis. It builds up on previous research from Keith and Mitra and Shahaf et al. by providing an efficient method for single-pair (or "main-route") narrative extraction in large corpora and complex networks.

PUBLICATIONS

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2025

C1.
Fausto German, Brian Keith Norambuena, Maurico Matus, Diego Urrutia, and Claudio Meneses "Semi-Supervised Image-Based Narrative Extraction: A Case Study with Historical Photographic Records" In Findings of the 47th European Conference on Information Retrieval, ECIR 2025, Italy (accepted)
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