Optimized Java Binary and Virtual Machine for Tiny Motes. - Faisal Aslam; Luminous Fennell; Christian Schindelhauer; Peter Thiemann 001; Gidon Ernst; Elmar Haussmann; Stefan Rührup; Zartash Afzal Uzmi (DCOSS, 2010)

Rethinking Java call stack design for tiny embedded devices. - Faisal Aslam; Ghufran Baig; Mubashir Adnan Qureshi; Zartash Afzal Uzmi; Luminous Fennell; Peter Thiemann 001; Christian Schindelhauer; Elmar Haussmann (LCTES, 2012)

Broccoli: Semantic Full-Text Search at your Fingertips - Hannah Bast; Florian Bäurle; Björn Buchhold; Elmar Haussmann (CoRR, 2012)

Open Information Extraction via Contextual Sentence Decomposition. - Hannah Bast; Elmar Haussmann (ICSC, 2013)

More Informative Open Information Extraction via Simple Inference. - Hannah Bast; Elmar Haussmann (ECIR, 2014)

Semantic full-text search with broccoli. - Hannah Bast; Florian Bäurle; Björn Buchhold; Elmar Haußmann (SIGIR, 2014)

Easy access to the freebase dataset. - Hannah Bast; Florian Bäurle; Björn Buchhold; Elmar Haußmann (WWW (Companion Volume), 2014)

More Accurate Question Answering on Freebase. - Hannah Bast; Elmar Haussmann (CIKM, 2015)

Relevance Scores for Triples from Type-Like Relations. - Hannah Bast; Björn Buchhold; Elmar Haussmann (SIGIR, 2015)

Semantic Search on Text and Knowledge Bases. - Hannah Bast; Björn Buchhold; Elmar Haussmann (Found. Trends Inf. Retr., 2016)

WSDM Cup 2017: Vandalism Detection and Triple Scoring. - Stefan Heindorf; Martin Potthast; Hannah Bast; Björn Buchhold; Elmar Haussmann (WSDM, 2017)

Overview of the Triple Scoring Task at the WSDM Cup 2017. - Hannah Bast; Björn Buchhold; Elmar Haussmann (CoRR, 2017)

Towards precise and convenient semantic search on text and knowledge bases. - Elmar Haussmann (2017)

A Quality Evaluation of Combined Search on a Knowledge Base and Text. - Hannah Bast; Björn Buchhold; Elmar Haussmann (Künstliche Intell., 2018)

Less is More: An Exploration of Data Redundancy with Active Dataset Subsampling. - Kashyap Chitta; José M. Álvarez 004; Elmar Haussmann; Clément Farabet (CoRR, 2019)

Scalable Active Learning for Object Detection. - Elmar Haussmann; Michele Fenzi; Kashyap Chitta; Jan Ivanecky; Hanson Xu; Donna Roy; Akshita Mittel; Nicolas Koumchatzky; Clément Farabet; José M. Álvarez 004 (IV, 2020)

Object-Level Targeted Selection via Deep Template Matching. - Suraj Kothawade; Donna Roy; Michele Fenzi; Elmar Haussmann; José M. Álvarez 004; Christoph Angerer (IV, 2022)

Training Data Subset Search With Ensemble Active Learning. - Kashyap Chitta; José M. Álvarez 004; Elmar Haussmann; Clément Farabet (IEEE Trans. Intell. Transp. Syst., 2022)