E-grāmata: Pattern Recognition and Machine Intelligence: 9th International Conference, PReMI 2021, Kolkata, India, December 15-18, 2021, Proceedings

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 Prediction in Masked
Facial Images with Deep Multitask Learning.- Masked Face Detection for
Effective COVID-19 Containment: A Light Convolution Neural Network based
Model.- Petersen Graph based Binary Pattern for Person Independent Facial
Expression Recognition.- Restoring Face Occluded Images Using GAN Based
Inpainting with Perceptual and Contextual Losses.- 10 Object and Event
Detection.- Salient Object Detection in Hyperspectral Images Using
Felzenswalb's Segmentation Algorithm.- Automated Proctoring based on Head
Orientation Analysis and Object Detection.- A Hybrid Network for Scanned
Floor Plan Image Recognition and Room Labeling.- An Effective Real-time
Surveillance System for Fire and Smoke Detection Using CNN.- Spatial-SMOTE:
An Approach for Handling Class Imbalance in Spatial Time Series Data.- An
Efficient Anomaly Detection Approach using Cube Sampling with Streaming
Data.- 11 Pattern Recognition.- Automated Seed Quality Testing System using
GAN and Active Learning.- Stochastic Quasi-Newton Minimum Complexity Machine
for Pattern Classification.- Semi-supervised Learning using Variational
Autoencoder - A Cluster based Approach.- Non-Episodic Variational
Discriminative Few-Shot Classifier.- PReLim: A Modeling Paradigm for Remote
Sensing Image Scene Classification under Limited Labeled Samples.- 12 Machine
Learning Applications.- Towards Automatic Defect Detection in Sugarcane
Billets from Images.- DSAL-GAN: Denoising based Saliency Prediction with
Generative Adversarial Networks.- Legal Case Retrieval using SVM
Classifier.- Topic Evolution Model for Interactive Information
Search.- Interactive System for Toddlers using Doodle Recognition.- HORIE:
Helpfulness of Online Reviews with Improved Embedding.