Pattern Recognition and Machine Intelligence

1 Image Processing.- Image Quality Assessment using Combination of Deep Convolutional Neural Networks.- Blind Image Forgery Detection using LBP and Statistical Moments.- Edge Detection in Gray Scale Images using Partial Sum of Second Order Taylor Series Expansion.- Image Re-Attentionizing Using Particle Swarm Optimization.- Auto-Encoder Guided Attention based Network for Hyperspectral Recovery from Real RGB Images.- 2 Text, Voice and Video Processing.- Raga Classification in Carnatic Music Using Audio Thumbnailing.- Wavelet Residual Learning for Efficient Future Frame Prediction from Natural Video Sequences.- Voice Privacy Through Time-Scale and Pitch Modification.- Abusive Speech Detection and Politeness Transfer.- Voice Liveness Detection using Bump Wavelet with CNN.- 3 Bioinformatics.- Classification of Task Evoked fMRI Signals using Temporal Characteristics of Brain Regions.- Ensemble Models for Multi-class Classification of Diabetic Retinopathy.- Identification of Potential Biomarkers using Integrative Approach: An application of ESCC.- Autoencoder Assisted Cancer Subtyping by Integrating Multi-omics Data.- ADHDNet: A DNN based Framework for Efficient Early ADHD Detection from fMRI Dataset.- 4 Deep Learning.- Multi-Stage Transfer Learning Based Yoga Pose Recognition using CNN.- Autoencoder and Extreme Learning Machine based Deep Multi-label Classifier.- Neural Pooling for Graph Neural Networks.- Pedestrian Detection and Movement Direction Recognition with Convolutional Neural Network.- Deep Learning Based Tree Detection and Counting for Remotely Sensed Images.- CateReR: A Graph Neural Network-based Model for Category-wise Reliability-aware Recommendation.- 5 Medical Image Processing.- Attention Assisted Patch-wise CNN for the Segmentation of Fluids from the Retinal Optical Coherence Tomography Images.- A Reinforcement Learning Framework for Lung Segmentation of COVID-19 and Pneumonia Affected Chest X-Ray Image.- Deep and Bio-Inspired spiking Neural Networks based Optimized Multimodal Neurological Image Fusion Model.- Model Compression Techniques for Atrial Fibrillation Detection on Mobile Devices.- Speckle de-noising with Local Oriented Structure for Edge Preservation in Ultrasound Images.- 6 Theory and Models.- Magnetic Resonance Imaging via weighted $ell_{1-p}$ minimization.- Spherical Separability : Associative Memories.- Addressing Issues in Training Neural ExtractiveSummarisation Models.- Metrics from Fuzzy Implications and their Application.- STATS-BERT: An Enhanced BERT Model with Statistical Masking for Improved Transfer Performance.- 7 Feature Selection.- Super-Resolution Model Using Multi Directional Structure Integrity Prior.- Stateful MapReduce Framework for mRMR Feature Selection using Horizontal Partitioning.- Analysis of Lombard Effect by using Hybrid Visual Features for ASR.- Adverse Event Classification from Co-prescribed Drugs by Integrating Chemical, Phenotypic and Graph Embedding Features.- Enhancing EEG-Based Emotion Recognition using Multi Domain Features and Genetic Algorithm based Feature Selection.- 8 Biometrics and Dermoscopy.- A Novel Cancelable Fingerprint Template Generation Mechanism using Visual Secret Sharing.- Re-calibrated Attention-based Deep Learning Technique for Dermoscopic Lesion Segmentation.- An Enhanced Generative Adversarial Network model for Fingerprint Presentation Attack Detection.- Rank Level Fusion of Multimodal Biometrics Using Particle Swarm Optimization.- 9 Facial Image Analysis.- Wavelet Based Convolutional Neural Network for Face Anti-Spoofing.- MaskMTL: Attribute P