Exploring feature-based approaches in PET images for predicting cancer treatment outcomes. - Issam El-Naqa; Perry Grigsby; Aditya P. Apte; Elizabeth Kidd; Eric Donnelly; Divya Khullar; Summer Chaudhari; Deshan Yang; Martin Schmitt; Richard Laforest; Wade L. Thorstad; Joseph Deasy (Pattern Recognit., 2009)

Ligand-based and structure-based design of novel histone demethylase inhibitors. - Luca Carlino; Martin Schmitt; Manfred Jung; Wolfgang Sippl (J. Cheminformatics, 2013)

Multi Reflection of Lamb Wave Emission in an Acoustic Waveguide Sensor. - Martin Schmitt; Sergei Olfert; Jens Rautenberg; Gerhard Lindner; Bernd Henning; Leonhard M. Reindl (Sensors, 2013)

The Code of Banking: Software as the Digitalization of German Savings Banks. - Martin Schmitt (HC, 2016)

Embedding Learning Through Multilingual Concept Induction. - Philipp Dufter; Mengjie Zhao; Martin Schmitt; Alexander M. Fraser; Hinrich Schütze (ACL (1), 2018)

Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networks. - Martin Schmitt; Simon Steinheber; Konrad Schreiber; Benjamin Roth 001 (EMNLP, 2018)

Socialist Life of a U.S. Army Computer in the GDR's Financial Sector - Import of Western Information Technology into Eastern Europe in the Early 1960s. - Martin Schmitt (HC, 2018)

SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference. - Martin Schmitt; Hinrich Schütze (ACL (1), 2019)

Unsupervised Text Generation from Structured Data. - Martin Schmitt; Hinrich Schütze (CoRR, 2019)

Combining Machine Learning and Semantic Features in the Classification of Corporate Disclosures. - Stefan Evert; Philipp Heinrich; Klaus Henselmann; Ulrich Rabenstein; Elisabeth Scherr; Martin Schmitt; Lutz Schröder (J. Log. Lang. Inf., 2019)

Ranking vs. Classifying: Measuring Knowledge Base Completion Quality. - Marina Speranskaya; Martin Schmitt; Benjamin Roth 001 (AKBC, 2020)

Increasing Learning Efficiency of Self-Attention Networks through Direct Position Interactions, Learnable Temperature, and Convoluted Attention. - Philipp Dufter; Martin Schmitt; Hinrich Schütze (COLING, 2020)

An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing. - Martin Schmitt; Sahand Sharifzadeh; Volker Tresp; Hinrich Schütze (EMNLP (1), 2020)

Modeling Graph Structure via Relative Position for Better Text Generation from Knowledge Graphs. - Martin Schmitt; Leonardo F. R. Ribeiro; Philipp Dufter; Iryna Gurevych; Hinrich Schütze (CoRR, 2020)

Investigating Pretrained Language Models for Graph-to-Text Generation. - Leonardo F. R. Ribeiro; Martin Schmitt; Hinrich Schütze; Iryna Gurevych (CoRR, 2020)

Semi-Automated Labeling of Requirement Datasets for Relation Extraction. - Jeremias Bohn; Jannik Fischbach; Martin Schmitt; Hinrich Schütze; Andreas Vogelsang (BUCC@RANLP, 2021)

Language Models for Lexical Inference in Context. - Martin Schmitt; Hinrich Schütze (EACL, 2021)

Continuous Entailment Patterns for Lexical Inference in Context. - Martin Schmitt; Hinrich Schütze (EMNLP (1), 2021)

Improving Visual Reasoning by Exploiting The Knowledge in Texts. - Sahand Sharifzadeh; Sina Moayed Baharlou; Martin Schmitt; Hinrich Schütze; Volker Tresp (CoRR, 2021)

Scene Graph Generation for Better Image Captioning? - Maximilian Mozes; Martin Schmitt; Vladimir Golkov; Hinrich Schütze; Daniel Cremers (CoRR, 2021)

Banking the Future of Banking: Savings Banks and the Digital Age in East and West Germany. - Martin Schmitt (Prophets of Computing, 2022)

Improving Scene Graph Classification by Exploiting Knowledge from Texts. - Sahand Sharifzadeh; Sina Moayed Baharlou; Martin Schmitt; Hinrich Schütze; Volker Tresp (AAAI, 2022)

Position Information in Transformers: An Overview. - Philipp Dufter; Martin Schmitt; Hinrich Schütze (Comput. Linguistics, 2022)

Domain Adaptation for Sparse-Data Settings: What Do We Gain by Not Using Bert? - Marina Sedinkina; Martin Schmitt; Hinrich Schütze (CoRR, 2022)

Computational models of relations in text and knowledge graphs for logical reasoning and graph-text conversion. - Martin Schmitt (2022)

Socialist AI? Societal Use, Economic Implementation, and the Tensions of Applied Computer Science in Late Socialist GDR. - Martin Schmitt (IEEE Ann. Hist. Comput., 2023)

CVE-LLM : Automatic vulnerability evaluation in medical device industry using large language models. - Rikhiya Ghosh; Oladimeji Farri; Hans-Martin von Stockhausen; Martin Schmitt; George Marica (CoRR, 2024)

CVE-LLM: Ontology-Assisted Automatic Vulnerability Evaluation Using Large Language Models. - Rikhiya Ghosh; Hans-Martin von Stockhausen; Martin Schmitt; Vasile George Marica; Sanjeev Kumar Karn; Oladimeji Farri (AAAI, 2025)