Self-financed
Augmented Reality (AR)Intelligent Go Board Software Autofocus for UVC cameras under Linux OCZ Neural Impulse Actuator - Linux Driver Handwritten Digit Recognition How to bluetooth-enabled your remote car Mobile Robot Toy Cat Simpson's Paradox Collaborations Analyzing C. elegans GFP images Holistic Pattern Recognition Early-Warning System for Botnets Text Mining in biological research literature (BioMinT) Talks Image Data Analysis in H.sapiens and C.elegans Image analysis and high-content screening Image Data Analysis in H.sapiens and C.elegans Artificial Intelligence Crash Course ScienceDabei 2011 Talk and Video Image Acquisition using Microscopes Image Data Analysis in H.sapiens and C.elegans Open Source Application examples in research and applications Intelligent Biomedical Data Analysis Computer Vision Workshop using OpenCV Computer Vision Crash-Course Open Source Data Mining with WEKA Innovative Applications of Open Source Open Source Data Mining with WEKA/Pentaho Detection and Identification of BotNets Challenges for Machine Learning and Data Mining in Predictive Behavioral Targeting Open Source Data Mining mit WEKA Success Stories in Intelligent Biomedical Data Analysis Artificial Intelligence Basics (09.05.2007) Artificial Intelligence and Image Processing Intelligent Go Board project - Idea Generation Workshop Internship Support Lecture (Winter term 2005) Artificial Intelligence Basics (14.06.2004) Artificial Intelligence in Industrial Applications Artificial Intelligence Methods of Data Analysis (Summer term 2004) Artificial Intelligence Basics (09.12.2003) Functional Programming in LISP (Winter term 2004) Machine Learning and Data Mining (Winter term 2004) Computer Go and Ensembles Functional Programming in LISP (Winter term 2002) Tutor for Prolog and logic-oriented programming (Winter term 1997) Publications Is Intra-tumoral Budding Correlated With Liver Metastasis In Patients With Grade 2 Colorectal Cancer? A Pilot Study The relation between epithelial and stromal area is important for colorectal cancer diagnosis and therapeutic considerations On the Brittleness of Handwritten Digit Recognition Models Automated quantitative analysis of epithelial and stromal area in colorectal cancer: putative application for the prognosis of cancer progression Towards the automated detection and characterization of osteoclasts in microscopic images Automated Detection And Quantification Of Osteoclasts In Culture By A Novel Image Analysis System - A Pilot Study On The Influence Of The Hormone Melatonin On Osteoclast Formation The neonatal IgG Fc-receptor (FcRn) is expressed in the syncytiotrophoblast, fetal endothelial cells and Hofbauer cells of human term placental chorionic villi Epithelium/Stroma Ratio In Colorectal Cancer: Automated Area Detection and Quantitative Analysis Automated Nuclei-based In Silico Discrimination of Murine Osteoclasts and their Precursor Cells A versatile Automated Detection System for Erythrocytes in Human Tissue Sections The neonatal IgG Fc-receptor (FcRn) is expressed in the syncytiotrophoblast, fetal endothelial cells and Hofbauer cells of human term placental chorionic villi Influences of melatonin on murine osteoclast formation in culture - automated detection and quantification by a novel image analysis system Automated detection, quantification and characterization of osteoclasts in cultures using a combined image-processing and machine learning strategy Towards an automated evaluation system of osteoclasts in cultures using a combine Image-processing and machine-learning strategy Towards an Automated Detection of Osteoclasts in Cultures Using a Combined Image-processing and Machine-learning Strategy A novel method for automated quantification of osteoclasts in culture - Advantages, workflow and application Influences on murine osteoclast formation and their automated detection by a novel image analysis software A New Approach for Outlier Detection in Near Real Time Towards a Versatile Automated Cell-Detection System for Science and Diagnostics Automated detection and analysis of fluorescent biomarkers in human placental chorionic tissue Automatic Extraction of Go Game Positions from Still Images: A Multi-Strategical Approach to Constrained Multi-Object Recognition Characterization and quantification of macrophages in colorectal cancer by an automated cell system Automated evaluation of Tumor-Associated Macrophage (TAM) local density in Colorectal Cancer by an Automated Cell Detection System Towards a Versatile Automated Cell-Detection System for Science and Diagnostics exemplified through receptor for advanced glycated end-products (RAGE) quantification in placental chorionic villi Quantifying Phenotypic Variation in Isogenic Caenorhabditis elegans Expressing Phsp-16 On the Detection and Identification of Botnets Automated cell-detection technologies for science and diagnostics Automated cell-detection technologies for science and diagnostics On the Brittleness of Handwritten Digit Recognition Models Towards Automating Malware Classification and Characterization An Approximation of the String Subsequence Kernel for Practical SVM Classification and Redundancy Clustering Present and Future of Spam Improving the Effectiveness of Mailings by Building a Response Model for Inactive Customers An Evaluation of Naive Bayes Variants in Content-Based Learning for Spam Filtering Evaluation of Term Utility Functions for Very Short Multi-Document Summaries BioMinT: the Research Assistant for Biological Text Mining GPSDB: a new database for synonyms expansion of gene and protein names An Evaluation of Naive Bayes Variants in Content-Based Learning for Spam Filtering Lambda Pruning - An Approximation of the String Subsequence Kernel Digits - A Dataset for Handwritten Digit Recognition A Close Look at Current Approaches in Spam Filtering Ranking for Medical Annotation: Investigating Performance, Local Search and Homonymy Recognition Combining Bayesian and Rule Score Learning: Automated Tuning for SpamAssassin Evaluating Protein Name Recognition: An Automatic Approach Recognizing Domain and Species from MEDLINE Proteomics Publications Towards a Theoretical Framework for Ensemble Classification Towards Understanding Stacking The Intelligent Go Board project Exploring the Parameter State Space of Stacking Meta-Learning for Stacked Classification How to Make Stacking Better and Faster While Also Taking Care of an Unknown Weakness Offline Evaluation of Term Utility Functions An Evaluation of Grading Classifiers Hybrid Decision Tree Learners with Alternative Leaf Classifiers: An Empirical Study Entertainment Robots - Myth Or Reality CoIL Challenge 2000 - Submitted Solution A Mobile Robot Toy Cat Controlled by Vision And Motivation
What inspires us?
Research inspires our work. Whatever we work on, we always include current research results. We are always seeking exciting ideas and new ways, and are currently involved in projects to make computers see, improve the security and reliability of IT systems, and to find out how nervous systems of simple organisms work. We also conduct contract research, feasibility studies, and help in the creation, conduction and execution of research proposals. Our core competencies are in the areas of Artificial Intelligence, Machine Learning / Data Mining and in intelligent image, audio and video analysis.