5 citations · 8 across the 8 of their papers we have counts for
8 papers
Interpretable Topic Extraction and Word Embedding Learning using row-stochastic DEDICOM
Lars Hillebrand, David Biesner, Christian Bauckhage +1
The DEDICOM algorithm provides a uniquely interpretable matrix factorization method for symmetric and asymmetric square matrices. We employ a new row-stochastic variation of DEDICO…
Quantum Adiabatic Generation of Human-Like Passwords
Sascha Mücke, Raoul Heese, Thore Gerlach +3
Generative Artificial Intelligence (GenAI) for Natural Language Processing (NLP) is the predominant AI technology to date. An important perspective for Quantum Computing (QC) is th…
FPGA-Placement via Quantum Annealing
Thore Gerlach, Stefan Knipp, David Biesner +3
Field-Programmable Gate Arrays (FPGAs) have asserted themselves as vital assets in contemporary computing by offering adaptable, reconfigurable hardware platforms. FPGA-based accel…
Zero-Shot Text Matching for Automated Auditing using Sentence Transformers
David Biesner, Maren Pielka, Rajkumar Ramamurthy +4
Natural language processing methods have several applications in automated auditing, including document or passage classification, information retrieval, and question answering. Ho…
Solving Subset Sum Problems using Quantum Inspired Optimization Algorithms with Applications in Auditing and Financial Data Analysis
David Biesner, Thore Gerlach, Christian Bauckhage +2
Many applications in automated auditing and the analysis and consistency check of financial documents can be formulated in part as the subset sum problem: Given a set of numbers an…
Improving Chest X-Ray Classification by RNN-based Patient Monitoring
David Biesner, Helen Schneider, Benjamin Wulff +2
Chest X-Ray imaging is one of the most common radiological tools for detection of various pathologies related to the chest area and lung function. In a clinical setting, automated…