• 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