A novel fast combine-and-conquer object detector based on only one-level feature map | 0 | 0.34 | 2022 |
Mining Knowledge for Differential Diagnosis of Pulmonary Nodules. | 0 | 0.34 | 2018 |
A Hazy Image Database with Amplitude Spectra Analysis. | 0 | 0.34 | 2017 |
Model Development And Incremental Learning Based On Case-Based Reasoning For Signal And Image Analysis | 0 | 0.34 | 2016 |
A New Similarity Measure for Sequences and Time-Series Applied to Spectrometer Signal Analysis. | 0 | 0.34 | 2016 |
Smart Spaces for On-line Tailor-Made Production of Clothes. | 0 | 0.34 | 2016 |
Cognitive Aspects of Object Recognition – Recognition of Objects by Texture | 0 | 0.34 | 2015 |
Case-Based Reasoning for Spectrometer Signal Analysis. | 0 | 0.34 | 2015 |
Automatic Cell Tracking and Kinetic Feature Description of Cell Paths for Image Mining. | 0 | 0.34 | 2015 |
Tracking Living Cells in Microscopic Images and Description of the Kinetics of the Cells | 0 | 0.34 | 2015 |
Using Human Experts Opinion to Similarity and from Object Calculated Numerical Similarity in Order to Improve the Classification Accuracy. | 0 | 0.34 | 2014 |
Machine Learning and Data Mining in Pattern Recognition - 10th International Conference, MLDM 2014, St. Petersburg, Russia, July 21-24, 2014. Proceedings | 0 | 0.34 | 2014 |
Observation of the Internal Mitochondrial Movement of the Cells by Classification into Classes Round, Tubular and Cell Death. | 0 | 0.34 | 2014 |
Image Acquisition and Detection of the Iris for Iridiology. | 0 | 0.34 | 2013 |
Advances in Data Mining. Applications and Theoretical Aspects - 13th Industrial Conference, ICDM 2013, New York, NY, USA, July 16-21, 2013. Proceedings | 21 | 1.60 | 2013 |
How to Compare and Interpret Two Learnt Decision Trees from the Same Domain? | 0 | 0.34 | 2013 |
Incremental Learning of the Model for Watershed-Based Image Segmentation. | 2 | 0.45 | 2012 |
Advances in Data Mining. 12th Industrial Conference, ICDM 2012, Berlin, Germany, July 2012, Poster and Industry Proceedings | 14 | 4.12 | 2012 |
Why Quantitative Measurement of Cellular Events and What can be achieved with Pattern Recognition and Data Mining? | 0 | 0.34 | 2012 |
A comparison between Haralick's texture descriptor and the texture descriptor based on random sets for biological images | 3 | 0.41 | 2011 |
A First Note on the Problem of Normalization and a Normalized Similarity Measure by Online Data. | 0 | 0.34 | 2011 |
About the Use of Data Bases for Data Mining in Direct Marketing. | 0 | 0.34 | 2011 |
How to interpret decision trees? | 1 | 0.37 | 2011 |
The Problem of Normalization and a Normalized Similarity Measure by Online Data. | 3 | 0.47 | 2011 |
Interpretation of (RAMAN) Spectrometer-Signals Based on Delta Modulation and Similarity-Based Classification - Label-Free Screening of Bio-Molecular Interactions Based on Raman Spectroscopy. | 0 | 0.34 | 2011 |
A Novel Method for the Interpretation of Spectrometer Signals Based on Delta-Modulation and Similarity Determination | 1 | 0.37 | 2011 |
Mining Colorectal Polyp Images for Colon Examination based on Texture Description and Decision Tree Induction. | 0 | 0.34 | 2011 |
Learning an ontology for visual tasks | 1 | 0.36 | 2011 |
Prototype-Based Classification for Automatic Knowledge Acquisition of Pathological Processes at the Cellular Level | 0 | 0.34 | 2010 |
Advances in Data Mining. 19th Industrial Conference, ICDM 2010, Berlin, Germany, July 2010, Workshop Proceedings | 15 | 4.09 | 2010 |
Mining 3D Biological Images in order to Construct a Landscape Model of Biological Objects | 0 | 0.34 | 2010 |
An Approach for Data Mining in Drug Development based on Decision Tree Clustering and Classification | 0 | 0.34 | 2010 |
Advances in Data Mining. Applications and Theoretical Aspects, 10th Industrial Conference, ICDM 2010, Berlin, Germany, July 12-14, 2010. Proceedings | 47 | 3.06 | 2010 |
Diagnosis of Lymphatic Tumors by Case-Based Reasoning on Microscopic Images | 2 | 0.43 | 2009 |
Special issue data mining and machine learning | 0 | 0.34 | 2009 |
Flexible High-Content Image Analysis System for the Automatic Image Analysis and Interpretation of Cell Images - Computerized Methods in System Biology | 0 | 0.34 | 2009 |
Health Monitoring by Image Acquisition and Analysis of Hazardous Biological Material in Air - A System for Airborne Fungi Identification | 0 | 0.34 | 2009 |
Similarity-based motion tracking of cells in microscopic images. | 0 | 0.34 | 2009 |
Can Prototype-Based Classification be a good Method for Biomedical Applications? | 3 | 0.43 | 2009 |
Learning of Shape Models from Exemplars of Biological Objects in Images | 1 | 0.37 | 2009 |
Advances in Data Mining. 9th Industrial Conference, ICDM 2008, Leipzig, Germany, July 2009, Poster Proceedings | 8 | 1.95 | 2009 |
A Study on the Case Image Description for Learning the Model of the Watershed Segmentation | 4 | 0.49 | 2009 |
Prototype-based classification | 17 | 0.89 | 2008 |
Case-Based-Reasoning For Image Segmentation | 10 | 0.57 | 2008 |
Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry, Third International Conference, MDA 2008, Leipzig, Germany, July 14, 2008, Proceedings | 12 | 1.11 | 2008 |
Novel Computerized Methods in System Biology ---Flexible High-Content Image Analysis and Interpretation System for Cell Images | 4 | 0.51 | 2008 |
Case-Based Reasoning and the Statistical Challenges | 10 | 0.71 | 2008 |
Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects, 8th Industrial Conference, ICDM 2008, Leipzig, Germany, July 16-18, 2008, Proceedings | 29 | 2.37 | 2008 |
Evaluating a Case-Based Classifier for Biomedical Applications | 3 | 0.52 | 2008 |
Semi-Automatic Semantic Annotation of Images | 2 | 0.39 | 2007 |