Pattern Recognition Letters

Papers
(The H4-Index of Pattern Recognition Letters is 46. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Comparative analysis of image classification algorithms based on traditional machine learning and deep learning404
A distinctive approach in brain tumor detection and classification using MRI263
SmaAt-UNet: Precipitation nowcasting using a small attention-UNet architecture228
A light CNN for detecting COVID-19 from CT scans of the chest212
Large group activity security risk assessment and risk early warning based on random forest algorithm204
Attributes based skin lesion detection and recognition: A mask RCNN and transfer learning-based deep learning framework166
Leveraging recent advances in deep learning for audio-Visual emotion recognition137
Rank consistent ordinal regression for neural networks with application to age estimation133
Customized VGG19 Architecture for Pneumonia Detection in Chest X-Rays130
A framework for offline signature verification system: Best features selection approach104
A Deep Learning-based Fast Fake News Detection Model for Cyber-Physical Social Services101
Deep learning-based apple detection using a suppression mask R-CNN90
Perturbation-based methods for explaining deep neural networks: A survey90
A novel nonintrusive decision support approach for heart rate measurement86
MIDCAN: A multiple input deep convolutional attention network for Covid-19 diagnosis based on chest CT and chest X-ray85
RETRACTED: Deep learning for real-time semantic segmentation: Application in ultrasound imaging81
Detecting distraction of drivers using Convolutional Neural Network77
Small-object detection based on YOLOv5 in autonomous driving systems75
KU-HAR: An open dataset for heterogeneous human activity recognition73
Improved prototypical networks for few-Shot learning73
Multi angle optimal pattern-based deep learning for automatic facial expression recognition70
Medical Image Encryption Scheme Using Multiple Chaotic Maps69
Faster ILOD: Incremental learning for object detectors based on faster RCNN68
Landmark guidance independent spatio-channel attention and complementary context information based facial expression recognition65
Generalized isolation forest for anomaly detection65
Optical Flow based CNN for detection of unlearnt deepfake manipulations62
Hierarchical deep neural network for mental stress state detection using IoT based biomarkers61
TrSeg: Transformer for semantic segmentation60
A novel unsupervised ensemble framework using concept-based linguistic methods and machine learning for twitter sentiment analysis60
Unsupervised Deep Learning based Variational Autoencoder Model for COVID-19 Diagnosis and Classification60
Image captioning with transformer and knowledge graph59
Machine learning based blind color image watermarking scheme for copyright protection57
Imbalanced image classification with complement cross entropy56
Mixed pooling and richer attention feature fusion for crack detection55
Intelligent computing on time-series data analysis and prediction of COVID-19 pandemics55
A new fuzzy k-nearest neighbor classifier based on the Bonferroni mean54
Facial expressions classification and false label reduction using LDA and threefold SVM53
Image encryption based on logistic chaotic systems and deep autoencoder51
Anomaly detection using improved deep SVDD model with data structure preservation50
Speech emotion recognition model based on Bi-GRU and Focal Loss50
A distance for belief functions of orderable set49
Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images49
IoU-Balanced loss functions for single-stage object detection48
Cloud security based attack detection using transductive learning integrated with Hidden Markov Model48
Attention fusion network for multi-spectral semantic segmentation47
Experiments using deep learning for dermoscopy image analysis47
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