Titles |
Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches |
Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis |
Deep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle Problems |
Applications of Deep Learning and Reinforcement Learning to Biological Data |
UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification |
Deep Learning for Classification and Localization of COVID-9 Markers in Point-of- Care Lung Ultrasound |
A Novel Deep Learning Strategy for Classifying Different Attack Patterns for Deep Brain Implants |
Machine Learning and Deep Learning Approaches for Brain Disease Diagnosis: Principles and Recent Advances |
Learning Affective Video Features for Facial Expression Recognition via Hybrid Deep Learning |
Crop Yield Prediction Using Deep Reinforcement Learning Model for Sustainable Agrarian Applications |
Action-Driven Visual Object Tracking With Deep Reinforcement Learning |
Deep Cascade Model-Based Face Recognition: When Deep-Layered Learning Meets Small Data |
Deep Learning Based Analysis of Breast Cancer Using Advanced Ensemble Classifier and Linear Discriminant Analysis |
Transfer Learning for Molecular Cancer Classification Using Deep Neural Networks |
A Study of Multi-Task and Region-Wise Deep Learning for Food Ingredient Recognition |
Deep Learning-Based Gleason Grading of Prostate Cancer From Histopathology Images—Role of Multiscale Decision Aggregation and Data Augmentation |
A Machine Learning Methodology for Diagnosing Chronic Kidney Disease |
Academic Performance Prediction Based on Multisource, Multifeature Behavioral Data |
Artificial Intelligence and COVID-9: Deep Learning Approaches for Diagnosis and Treatment |
Comparison of Machine Learning Algorithms for Predicting Crime Hotspots |
COVID-9 Future Forecasting Using Supervised Machine Learning Models |
Crop Yield Prediction based on Indian Agriculture using Machine Learning |
Deep Learning Based Fusion Approach for Hate Speech Detection |
Deep Learning for Large-Scale Traffic-Sign Detection and Recognition |
Defensive Modeling of Fake News Through Online Social Networks |
Detecting and Characterizing Extremist Reviewer Groups in Online Product Reviews |
Detecting Spam Email With Machine Learning Optimized With Bio-Inspired Metaheuristic Algorithms |
Detection of Fake and Clone accounts in Twitter using Classification and Distance Measure Algorithms |
Detection of Malicious Social Bots Using Learning Automata With URL Features in Twitter Network |
FAKEDETECTOR: Effective Fake News Detection with Deep Diffusive Neural Network |
Finding Psychological Instability Using Machine Learning |
Flight Delay Prediction Based on Aviation Big Data and Machine Learning |
Heart Disease Identification Method Using Machine Learning Classification in E- Healthcare |
Hybrid Feature based Prediction of Suicide Related Activity on Twitter |
Intrusion Detection System Using PCA with Random Forest Approach |
Performance Analysis on Student Feedback using Machine Learning Algorithms |
Predicting Stock Market Trends Using Machine Learning and Deep |
Prediction of Breast Cancer, Comparative Review of Machine Learning Techniques, and Their Analysis |
Rice Leaf Diseases Classification Using CNN With Transfer Learning |
Spam Review Detection Using the Linguistic and Spammer Behavioral Methods |
Students Performance Prediction in Online Courses Using Machine Learning Algorithms |
A Mask Detection Method for Shoppers Under the Threat of COVID-9 Coronavirus |
Email Spam Detection Using Machine Learning Algorithms |
Detecting A Twitter Cyberbullying Using Machine Learning |
A New Intelligent Approach for Effective Recognition of Diabetes in the IoT E- HealthCare Environment |
Malaria Detection using Deep Learning |
Human Recognition using Ear based Deep Learning Features |