An adaptive kernel regression method for 3D ultrasound reconstruction using speckle prior and parallel GPU implementation. | 0 | 0.34 | 2018 |
fastp: an ultra-fast all-in-one FASTQ preprocessor. | 4 | 0.43 | 2018 |
A Study of Cell-free DNA Fragmentation Pattern and Its Application in DNA Sample Type Classification. | 0 | 0.34 | 2018 |
MutScan: fast detection and visualization of target mutations by scanning FASTQ data. | 0 | 0.34 | 2018 |
AfterQC: automatic filtering, trimming, error removing and quality control for fastq data. | 6 | 0.85 | 2017 |
Seqmaker: A Next Generation Sequencing Simulator With Variations, Sequencing Errors And Amplification Bias Integrated | 0 | 0.34 | 2016 |
Performance Assessment Of Process With Uncertainties Based On Minimum Variance | 0 | 0.34 | 2016 |
Energy efficient backoff hierarchical clustering algorithms for multi-hop wireless sensor networks | 2 | 0.37 | 2011 |
A Fast and Flexible Sorting Algorithm with CUDA | 5 | 0.55 | 2009 |
Accelerating Algebraic Reconstruction Using CUDA-Enabled GPU | 4 | 0.59 | 2009 |
Preprocessing for Point-Based Algorithms of POMDPs | 0 | 0.34 | 2008 |
A Double Layer Bayesian Classifier | 4 | 0.50 | 2007 |
A two-layered multi-agent reinforcement learning model and algorithm | 1 | 0.37 | 2007 |
Identifying and Correcting Mislabeled Training Instances | 16 | 0.60 | 2007 |
An Intrusion Detection Model Based on Intention Modeling | 0 | 0.34 | 2007 |
Connect-Based Subgoal Discovery for Options in Hierarchical Reinforcement Learning | 7 | 0.50 | 2007 |
Using an improved C4.5 for imbalanced dataset of intrusion | 6 | 0.57 | 2006 |
SDMOGA: A new multi-objective genetic algorithm based on objective space divided | 0 | 0.34 | 2006 |
Mining Frequent Patterns based on Compressed FP-tree without Conditional FP-tree Generation | 1 | 0.40 | 2006 |
A novel image retrieval approach combining multiple features of color-connected regions | 0 | 0.34 | 2006 |
SCGA: Controlling Genetic Algorithms with Sarsa(0) | 7 | 0.56 | 2005 |
K-Cluster Algorithm for Automatic Discovery of Subgoals in Reinforcement Learning | 0 | 0.34 | 2005 |
Evolutionary computation and rough set-based hybrid approach to rule generation | 1 | 0.35 | 2005 |
Image Segmentation Using Spectral Clustering | 3 | 0.44 | 2005 |
LMRL: A Multi-Agent Reinforcement Learning Model and Algorithm | 0 | 0.34 | 2005 |
An intelligent medical image understanding method using two-tier neural network ensembles | 3 | 0.40 | 2005 |
Mining Web Sequential Patterns Using Reinforcement Learning | 0 | 0.34 | 2004 |
Illumination Invariant Face Recognition Based on Neural Network Ensemble | 10 | 0.56 | 2004 |
A Chromatic Image Understanding System for Lung Cancer Cell Identification Based on Fuzzy Knowledge | 2 | 0.46 | 2004 |
Image Texture Representation and Retrieval Based on Power Spectral Histograms | 1 | 0.38 | 2004 |
Extracting symbolic rules from trained neural network ensembles | 60 | 2.61 | 2003 |
Evolving Fault-Tolerant Neural Networks | 23 | 0.94 | 2003 |
Sphere-structured support vector machines for multi-class pattern recognition | 27 | 2.40 | 2003 |
A representation theorem for recovering contraction relations satisfying wci | 3 | 0.42 | 2003 |
Lung cancer cell identification based on artificial neural network ensembles | 104 | 6.09 | 2002 |
Valuation Structure | 0 | 0.34 | 2002 |
The Application of Visualization and Neural Network Techniques in a Power Transformer Condition Monitoring System | 1 | 0.37 | 2002 |
An Approach for Data Filtering Based on Rough Set Theory | 4 | 0.53 | 2001 |
Some contributions to nonmonotonic consequence | 3 | 0.40 | 2001 |
Genetic algorithm based selective neural network ensemble | 44 | 1.74 | 2001 |
Valuation-ranked preferential model | 6 | 0.55 | 2000 |
DPAL: deductive language for embroidery pattern assembling | 0 | 0.34 | 2000 |
A general neural framework for classification rule mining | 7 | 0.67 | 2000 |
FANNC: a fast adaptive neural network classifier | 24 | 1.96 | 2000 |
Using neural networks for fault diagnosis | 6 | 1.77 | 2000 |
Default reasoning and belief revision: a syntax-independent approach | 1 | 0.36 | 2000 |
Statistics based approach for extracting priority rules from trained neural networks | 9 | 0.70 | 2000 |
FANRE: A Fast Adaptive Neural Regression Estimator | 1 | 0.36 | 1999 |
Mining Typhoon Knowledge with Neural Networks | 4 | 0.76 | 1999 |
Representation theorems for multiple belief changes | 14 | 0.93 | 1997 |