State Tracking in the Presence of Heavy-tailed Observations
Indextron
Active Output Selection Strategies for Multiple Learning Regression Models
Continuous Driver Activity Recognition from Short Isolated Action Sequences
Self-adaptive Norm Update for Faster Gradient-based L2 Adversarial Attacks and Defenses
Task Specific Image Enhancement for Improving the Accuracy of CNNs
Improving the Grid-based Clustering by Identifying Cluster Center Nodes and Boundary Nodes Adaptively
Object Tracking using Correction Filter Method with Adaptive Feature Selection
Revisiting the Deformable Convolution by Visualization
Interpreting Convolutional Networks Trained on Textual Data
Multi-level Feature Selection for Oriented Object Detection
Demonstrating the Vulnerability of RGB-D based Face Recognition to GAN-generated Depth-map Injection
MetaBox+: A New Region based Active Learning Method for Semantic Segmentation using Priority Maps
An ALPR System-based Deep Networks for the Detection and Recognition
Synergy Conformal Prediction for Regression
Enhancing Phase Mapping for High-throughput X-ray Diffraction Experiments using Fuzzy Clustering
Automated Machine Learning for Wind Farms Location
An Empirical Study on Machine Learning Models for Potato Leaf Disease Classification using RGB Images
Movement Control with Vehicle-to-Vehicle Communication by using End-to-End Deep Learning for Autonomous Driving
Lifting Sequence Length Limitations of NLP Models using Autoencoders
Single Stage Class Agnostic Common Object Detection: A Simple Baseline
Optimization of Image Embeddings for Few Shot Learning
TrajNet: An Efficient and Effective Neural Network for Vehicle Trajectory Classification
A Comparison of Few-shot Classification of Human Movement Trajectories
Reduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case
Deep Learning based Model Identification System Exploits the Modular Structure of a Bio-inspired Posture Control Model for Humans and Humanoids
Video Camera Identification from Sensor Pattern Noise with a Constrained ConvNet
Seam Carving for Image Classification Privacy
Domain Shift in Capsule Networks
Surface EMG Signal Classification for Parkinson’s Disease using WCC Descriptor and ANN Classifier
Weakly Supervised Gleason Grading of Prostate Cancer Slides using Graph Neural Network
Predicting Malware Attacks using Machine Learning and AutoAI
Speech Recognition using Deep Canonical Correlation Analysis in Noisy Environments
Knowledge Acquisition on Team Management Aimed at Automation with Use of the System of Organizational Terms
A Blended Attention-CTC Network Architecture for Amharic Text-image Recognition
Automated Detection of COVID-19 from CT Scans using Convolutional Neural Networks
Automatic Diagnosis of COPD in Lung CT Images based on Multi-View DCNN
The Importance of Models in Data Analysis with Small Human Movement Datasets: Inspirations from Neurorobotics Applied to Posture Control of Humanoids and Humans
Capsule Networks with Intersection over Union Loss for Binary Image Segmentation
Locating Datacenter Link Faults with a Directed Graph Convolutional Neural Network
Applying Automated Machine Learning to Improve Budget Estimates for a Naval Fleet Maintenance Facility
Generalized Dilation Structures in Convolutional Neural Networks
Individual Action and Group Activity Recognition in Soccer Videos from a Static Panoramic Camera
Time-First Tracking: An Efficient Multiple-Object Tracking Architecture for Dynamic Surveillance Environments
Exploring Motion Boundaries in an End-to-End Network for Vision-based Parkinson’s Severity Assessment
Active Region Detection in Multi-spectral Solar Images
Improved HTM Spatial Pooler with Homeostatic Plasticity Control
Object Detection and Text Recognition in Large-scale Technical Drawings
Opinion Mining using TRC Techniques
Symbolic Translation of Time Series using Piecewise N-gram Similarity Voting
Graph Convolution Networks for Cell Segmentation
Experimental Application of a Japanese Historical Document Image Synthesis Method to Text Line Segmentation
Discrete Wavelet based Features for PCG Signal Classification using Hidden Markov Models
A High Accuracy Text Detection Model of Newly Constructing and Training Strategies
New Maximum Similarity Method for Object Identification in Photon Counting Imaging
Converting Image Labels to Meaningful and Information-rich Embeddings
Estimating the Probability Density Function of New Fabrics for Fabric Anomaly Detection
Garment Detection in Catwalk Videos
FLIC: Fast Lidar Image Clustering
Upgraded W-Net with Attention Gates and Its Application in Unsupervised 3D Liver Segmentation
Data Fusion of Histological and Immunohistochemical Image Data for Breast Cancer Diagnostics using Transfer Learning
Outlier Detection in Network Traffic Monitoring
Few-Shot Class Incremental Learning with Generative Feature Replay
Common Topic Identification in Online Maltese News Portal Comments
Web based Object Annotation Tool using a Triplet-ReID Sorting Approach
Data Scarcity: Methods to Improve the Quality of Text Classification
SIGRNN: Synthetic Minority Instances Generation in Imbalanced Datasets using a Recurrent Neural Network
Exploring Slow Feature Analysis for Extracting Generative Latent Factors
On the Improvement of Feature Selection Techniques: The Fitness Filter
Empirical Evaluation on Utilizing CNN-features for Seismic Patch Classification
Multimodal Sentiment Analysis on Video Streams using Lightweight Deep Neural Networks
A Spatial-temporal Graph based Hybrid Infectious Disease Model with Application to COVID-19
Flexcoder: Practical Program Synthesis with Flexible Input Lengths and Expressive Lambda Functions
Quantitative Method for Evaluating the Coordination between Sprinting Motions using Joint Coordinates Obtained from the Videos and Cross-correlations