197 results on '"Verma, Brijesh"'
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2. A Novel Explainable Deep Learning Model with Class Specific Features
3. A Novel Optimized Context-Based Deep Architecture for Scene Parsing
4. NSD2 is a requisite subunit of the AR/FOXA1 neo-enhanceosome in promoting prostate tumorigenesis
5. Context-Based Deep Learning Architecture with Optimal Integration Layer for Image Parsing
6. Neural Network Feature Explanation Using Neuron Activation Rate Based Bipartite Graph
7. Convolutional Neural Network Architecture with Exact Solution
8. Loss of LCMT1 and biased protein phosphatase 2A heterotrimerization drive prostate cancer progression and therapy resistance
9. Substrate Stiffness Modulates TGF-β Activation and ECM-Associated Gene Expression in Fibroblasts
10. A Graph-based Context Learning Technique for Image Parsing
11. Novel Automatic Deep Learning Feature Extractor with Target Class Specific Feature Explanations
12. Abstract A055: NSD2 is a requisite and targetable subunit of the AR/FOXA1 neo-enhanceosome complex in prostate cancer cells
13. Ensemble Classifier Generation Using Class-Pure Cluster Balancing
14. Deep 3D Segmentation and Classification of Point Clouds for Identifying AusRAP Attributes
15. Monocyte Distribution Width (MDW) in Patients with COVID-19: An Indicator of Disease Severity
16. Convolutional Ensemble Network for Image Classification
17. Genetic Algorithms for Optimising Context-based Neural Networks for Image Segmentation
18. Roadside Video Data Analysis Framework
19. Conclusion and Future Insight
20. Introduction
21. Deep Learning Techniques for Roadside Video Data Analysis
22. Monthly Rainfall Categorization Based on Optimized Features and Neural Network
23. Removing Bias from Diverse Data Clusters for Ensemble Classification
24. Case Study: Roadside Video Data Analysis for Fire Risk Assessment
25. Roadside Video Data Analysis
26. Non-deep Learning Techniques for Roadside Video Data Analysis
27. Relationship aware context adaptive deep learning for image parsing
28. Fast Convolutional Neural Network with iterative and non-iterative learning
29. Rule-Based Grass Biomass Classification for Roadside Fire Risk Assessment
30. Position Gradient and Plane Consistency Based Feature Extraction
31. Road Severity Distance Calculation Technique Using Deep Learning Predictions in 3-D Space
32. Multi-stage Deep Learning Technique for Improving Traffic Sign Recognition
33. Multi-stage Deep Learning Technique with a Cascaded Classifier for Turn Lanes Recognition
34. An Improved RBF Neural Network Approach to Nonlinear Curve Fitting
35. Class-Semantic Color-Texture Textons for Vegetation Classification
36. Substrate stiffness modulates integrin α5 expression and ECM-associated gene expression in fibroblasts
37. Fully Convolutional Neural Network with Relation Aware Context Information for Image Parsing
38. Analysis of Hybrid Classification Approach to Differentiate Dense and Non-dense Grass Regions
39. A Neural Ensemble Approach for Segmentation and Classification of Road Images
40. Relationship Aware Context Adaptive Feature Selection Framework for Image Parsing
41. Auto-Associative Features with Non-Iterative Learning Based Technique for Image Classification
42. Autonomous deep feature extraction based method for epileptic EEG brain seizure classification
43. Deep Learning Model with GA-based Visual Feature Selection and Context Integration
44. A Novel Evolving Classifier with a False Alarm Class for Speed Limit Sign Recognition
45. Multicluster Class-Balanced Ensemble
46. Effects of Large Constituent Size in Variable Neural Ensemble Classifier for Breast Mass Classification
47. Single class detection-based deep learning approach for identification of road safety attributes
48. Differential gene expression in peritumoral brain zone of glioblastoma: role of SERPINA3 in promoting invasion, stemness and radioresistance of glioma cells and association with poor patient prognosis and recurrence
49. Optimization of Fully Convolutional Network for Road Safety Attribute Detection
50. A Novel Method Based on Convolutional Features with Non-Iterative Learning for Brain Tumor Classification
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