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Journal Articles
- 2023
[j22]Johannes Fähndrich, Wilfried Honekamp, Roman Povalej, Heiko Rittelmeier, Silvio Berner, Dirk Labudde:
Digital forensics and strong AI: A structured literature review. Forensic Sci. Int. Digit. Investig. 46: 301617 (2023)- 2022
- [j21]Tommy Bergmann
, Martin Klöden, Jan Dressler, Dirk Labudde:
Automatic Classification of Bloodstains with Deep Learning Methods. Künstliche Intell. 36(2): 135-141 (2022) - [j20]Michael Spranger, Jian Xi, Lukas Jaeckel, Jenny Felser, Dirk Labudde:
MoNA: A Forensic Analysis Platform for Mobile Communication. Künstliche Intell. 36(2): 163-169 (2022) - [j19]Sven Becker, Marie-Luise Heuschkel, Sabine Richter, Dirk Labudde:
COMBI: Artificial Intelligence for Computer-Based Forensic Analysis of Persons. Künstliche Intell. 36(2): 171-180 (2022) - 2021
- [j18]Roman Povalej, Heiko Rittelmeier, Johannes Fähndrich, Silvio Berner, Wilfried Honekamp, Dirk Labudde:
Die Enkel von Locard. Inform. Spektrum 44(5): 355-363 (2021) - 2019
- [j17]Sebastian Bittrich, Marika Kaden, Christoph Leberecht, Florian Kaiser, Thomas Villmann, Dirk Labudde:
Application of an interpretable classification model on Early Folding Residues during protein folding. BioData Min. 12(1): 1:1-1:16 (2019) - [j16]Florian Kaiser, Dirk Labudde:
Unsupervised Discovery of Geometrically Common Structural Motifs and Long-Range Contacts in Protein 3D Structures. IEEE ACM Trans. Comput. Biol. Bioinform. 16(2): 671-680 (2019) - 2018
- [j15]Florian Kaiser, Sebastian Bittrich, Sebastian Salentin, Christoph Leberecht, V. Joachim Haupt, Sarah Krautwurst, Michael Schroeder, Dirk Labudde:
Backbone Brackets and Arginine Tweezers delineate Class I and Class II aminoacyl tRNA synthetases. PLoS Comput. Biol. 14(4) (2018) - 2017
- [j14]Christoph Leberecht, Florian Heinke, Dirk Labudde:
Simulation of diffusion using a modular cell dynamic simulation system. Silico Biol. 12(3-4): 129-142 (2017) - 2016
- [j13]Florian Heinke, Sebastian Bittrich, Florian Kaiser, Dirk Labudde:
SequenceCEROSENE: a computational method and web server to visualize spatial residue neighborhoods at the sequence level. BioData Min. 9: 6 (2016) - [j12]Florian Kaiser, Alexander Eisold, Sebastian Bittrich, Dirk Labudde:
Fit3D: a web application for highly accurate screening of spatial residue patterns in protein structure data. Bioinform. 32(5): 792-794 (2016) - 2015
- [j11]Steffen Grunert, Dirk Labudde:
Evolutionary Influenced Interaction Pattern as Indicator for the Investigation of Natural Variants Causing Nephrogenic Diabetes Insipidus. Comput. Math. Methods Medicine 2015: 641393:1-641393:6 (2015) - [j10]Florian Kaiser, Alexander Eisold, Dirk Labudde:
A Novel Algorithm for Enhanced Structural Motif Matching in Proteins. J. Comput. Biol. 22(7): 698-713 (2015) - 2013
- [j9]Steffen Grunert, Dirk Labudde:
Graph representation of high-dimensional alpha-helical membrane protein data. BioData Min. 6: 21 (2013) - [j8]Florian Heinke, Stefan Schildbach, Daniel Stockmann, Dirk Labudde:
eProS - a database and toolbox for investigating protein sequence-structure-function relationships through energy profiles. Nucleic Acids Res. 41(Database-Issue): 320-326 (2013) - 2012
- [j7]Florian Heinke, Dirk Labudde:
Membrane Protein Stability Analyses by Means of Protein Energy Profiles in Case of Nephrogenic Diabetes Insipidus. Comput. Math. Methods Medicine 2012: 790281:1-790281:11 (2012) - 2011
- [j6]Bill Andreopoulos, Dirk Labudde:
Efficient unfolding pattern recognition in single molecule force spectroscopy data. Algorithms Mol. Biol. 6: 16 (2011) - 2009
- [j5]Bill Andreopoulos, Christof Winter, Dirk Labudde, Michael Schroeder:
Triangle network motifs predict complexes by complementing high-error interactomes with structural information. BMC Bioinform. 10 (2009) - [j4]Bill Andreopoulos, Aijun An, Xiaogang Wang, Dirk Labudde:
Efficient layered density-based clustering of categorical data. J. Biomed. Informatics 42(2): 365-376 (2009) - 2007
- [j3]Annalisa Marsico, Dirk Labudde, K. Tanuj Sapra, Daniel J. Muller, Michael Schroeder:
A novel pattern recognition algorithm to classify membrane protein unfolding pathways with high-throughput single-molecule force spectroscopy. Bioinform. 23(2): 231-236 (2007) - 2006
- [j2]Frank Mueller, Daniel J. Muller, Dirk Labudde:
Analysis assistant for single-molecule force spectroscopy data on membrane proteins - MPTV. Bioinform. 22(14): 1796-1799 (2006) - 2005
- [j1]Doreen Pahlke, Dietmar Leitner, Urs Wiedemann, Dirk Labudde:
COPS - Cis/trans peptide bond conformation prediction of amino acids on the basis of secondary structure information. Bioinform. 21(5): 685-686 (2005)
Conference and Workshop Papers
- 2024
- [c32]Jian Xi, Lukas Jaeckel, Michael Spranger, Melanie Siegel, Dirk Labudde:
Forensic Communication Analysis: Challenges and Opportunities. CSR 2024: 878-883 - [c31]Stefan Kellermann, Dirk Labudde:
Deepfakes als Beweismittel: Zur Notwendigkeit der Authentizitätsprüfung von Bild- , Audio- und Videodaten: Das digitale Rig als Authentifizierungsmethode zur Erkennung von synthetischen Bild- und Videodaten. INFORMATIK 2024: 295-307 - [c30]Sabrina Herchel, Mirijam Steinert, Vivien Dehne, Dirk Labudde:
Der forensische Wert von Thumbnails und Cache-Dateien im Ermittlungsverfahren. INFORMATIK 2024: 309-319 - [c29]Sabine Richter, Dirk Labudde:
Potential approach for targeted matching of people in video footage based on 3D human pose estimation. INFORMATIK 2024: 371-380 - [c28]Maria Lietsch, Svenja Preuß, Sven Becker, Dirk Labudde:
Man vs. machine: A study comparing super-recognizers and artificial intelligence. INFORMATIK 2024: 405-415 - [c27]Sven Becker, Dirk Labudde:
Proof of Concept zur Modellierung anatomisch orientierter Wirbelsäulen in digitalen Menschmodellen. INFORMATIK 2024: 417-429 - 2023
- [c26]Jenny Felser, Christoph Demus, Dirk Labudde, Michael Spranger:
FoSIL at PAN'23: Trigger Detection with a Two Stage Topic Classifier. CLEF (Working Notes) 2023: 2574-2587 - [c25]Florian Heinke, Marie-Luise Heuschkel, Dirk Labudde:
Analysing Distributions of Feature Similarities in the Context of Digital Anthropometric Pattern Matching Probability. GI-Jahrestagung 2023: 573-582 - [c24]Stefan Kellermann, Dirk Labudde:
Vorbetrachtung zur Entwicklung einer Analysesoftware zur Auswertung von videografierten Beschuldigtenvernehmungen im Strafermittlungsverfahren. GI-Jahrestagung 2023: 583-595 - [c23]Elena Pistorius, Sabine Richter, Dirk Labudde:
The digital skeleton in modern video analysis - inter- and intraspecific comparsionofindividualrigs. GI-Jahrestagung 2023: 611-621 - [c22]Mirijam Steinert, Sabrina Herchel, Dirk Labudde:
Möglichkeiten, Grenzen und Konzepte für eine digitalbasierte Täterbewertung im Bereich der §§ 174 - 184. GI-Jahrestagung 2023: 635-648 - 2022
- [c21]Andy Ludwig, Jenny Felser, Jian Xi, Dirk Labudde, Michael Spranger:
FoSIL at CheckThat!-2022: Using Human Behaviour-Based Optimization for Text Classification. CLEF (Working Notes) 2022: 584-594 - [c20]Jenny Felser, Jian Xi, Christoph Demus, Dirk Labudde, Michael Spranger:
Recommendation of Query Terms for Colloquial Texts in Forensic Text Analysis. GI-Jahrestagung 2022: 35-47 - [c19]Florian Heinke, Marie-Luise Heuschkel, Dirk Labudde:
A frequentist estimation of duplicate probability as a baseline for person identification from image and video material using anthropometric measurements. GI-Jahrestagung 2022: 91-98 - [c18]Svenja Preuß, Dirk Labudde:
A pipeline for analysing image and video material in a forensic context with intelligent systems. GI-Jahrestagung 2022: 109-118 - 2021
- [c17]Sven Becker, Tommy Bergmann, Steffen Peldschuss, Dirk Labudde:
Hypothesis-driven Case Analysis in 3D-Space as a Support for Forensic Casework. GI-Jahrestagung 2021: 835-846 - [c16]Marleen Mohaupt, Sieke Stoeter, Dirk Labudde:
Automated Determination of Fingerprint Ridge Density and Fingerprint Size to Detect Sex Differences. GI-Jahrestagung 2021: 847-856 - [c15]Mina Schütz, Christoph Demus, Jonas Pitz, Nadine Probol, Melanie Siegel, Dirk Labudde:
DeTox at GermEval 2021: Toxic Comment Classification. GermEval@KONVENS 2021: 54-61 - 2020
- [c14]Tommy Bergmann, Sebastian Gottschall, Enrico Fuchs, Oliver Berlipp, Dirk Labudde:
Development and empirical optimization of an electrochemical analysis cell for the visualization of latent fingerprints and their chemical adhesives. BIOSIG 2020: 247-253 - 2019
- [c13]Florian Heinke, Lars Hempel, Dirk Labudde:
A Novel Approach for Fast Protein Structure Comparison and Heuristic Structure Database Searching Based on Residue EigenRank Scores. BDAS 2019: 233-247 - [c12]Franz Bellmann, Lea Bunzel, Christoph Demus, Lisa Fellendorf, Olivia Gräupner, Qiuyi Hu, Tamara Lange, Alica Stuhr, Jian Xi, Dirk Labudde, Michael Spranger:
Multi-Label Classification of Blurbs with SVM Classifier Chains. KONVENS 2019 - [c11]Florian Schmid, Justine Thielemann, Anna Mantwill, Jian Xi, Dirk Labudde, Michael Spranger:
FoSIL - Offensive language classification of German tweets combining SVMs and deep learning techniques. KONVENS 2019 - 2017
- [c10]Florian Heinke, Rico Beier, Tommy Bergmann, Heiko Mixtacki, Dirk Labudde:
Novel Computational Techniques for Thin-Layer Chromatography (TLC) Profiling and TLC Profile Similarity Scoring. BDAS 2017: 373-385 - 2016
- [c9]Sebastian Bittrich, Florian Heinke, Dirk Labudde:
eQuant - A Server for Fast Protein Model Quality Assessment by Integrating High-Dimensional Data and Machine Learning. BDAS 2016: 419-433 - [c8]Stefan Schildbach, Florian Heinke, Wolfgang Benn, Dirk Labudde:
Evaluation of Descriptor Algorithms of Biological Sequences and Distance Measures for the Intelligent Cluster Index (ICIx). BDAS 2016: 434-448 - [c7]Saskia Jeraufke, Anne-Marie Pflugbeil, Sven Becker, Stefan Schildbach, Dirk Labudde, Horst Bruchhaus, Karlheinz Thiele, Jan Dressler:
Analysis of X-Ray Images of Femora for Age at Death Estimation of Skeletal Individuals. BIOSIG 2016: 241-248 - 2015
- [c6]Florian Heinke, Daniel Stockmann, Stefan Schildbach, Mathias Langer, Dirk Labudde:
eProS - A Bioinformatics Knowledgebase, Toolbox and Database for Characterizing Protein Function. BDAS 2015: 575-584 - 2008
- [c5]Bill Andreopoulos, Aijun An, Xiangji Huang, Dirk Labudde:
Integration of Genomic, Proteomic and Biomedical Information on the Semantic Web. ER Workshops 2008: 33-42 - 2007
- [c4]Dirk Labudde, Annalisa Marsico, K. Tanuj Sapra, Michael Schroeder:
Pattern Recognition of Single-Molecule Force Spectroscopy Data. ER Workshops 2007: 3-13 - [c3]Annalisa Marsico, Kerstin Vanselow, Jing Wang, Dirk Labudde:
2D Visualisation of SMFS Data on Membrane Proteins. ER (Tutorials, Posters, Panels & Industrial Contributions) 2007: 79-84 - [c2]Frank Dressel, Annalisa Marsico, Anne Tuukkanen, Michael Schroeder, Dirk Labudde:
Understanding of SMFS Barriers by Means of Energy Profiles. German Conference on Bioinformatics 2007: 90-99 - 2006
- [c1]Annalisa Marsico, K. Tanuj Sapra, Daniel J. Muller, Michael Schroeder, Dirk Labudde:
A Structure-Based Analysis of Single Molecule Force Spectroscopy (SMFS) Data for Bacteriorhodopsin and Four Mutants. CompLife 2006: 162-172
Coauthor Index
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last updated on 2024-10-23 20:35 CEST by the dblp team
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