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ORCID10th PReMI 2023: Kolkata, India
- Pradipta Maji
, Tingwen Huang, Nikhil R. Pal, Santanu Chaudhury, Rajat K. De:
Pattern Recognition and Machine Intelligence - 10th International Conference, PReMI 2023, Kolkata, India, December 12-15, 2023, Proceedings. Lecture Notes in Computer Science 14301, Springer 2023, ISBN 978-3-031-45169-0
Pattern Recognition
- Atanu Dey, Mamata Jenamani, Arijit De:
An Efficient Approach for Findings Document Similarity Using Optimized Word Mover's Distance. 3-11 - Kakuli Mishra, Srinka Basu, Ujjwal Maulik:
Aggregate Load Forecasting in Residential Smart Grids Using Deep Learning Model. 12-19 - Vasilii A. Gromov, Quynh Nhu Dang:
Spot the Bot: Distinguishing Human-Written and Bot-Generated Texts Using Clustering and Information Theory Techniques. 20-27 - Binoy Saha, Sukhendu Das:
Conditioning Covert Geo-Location (CGL) Detection on Semantic Class Information. 28-37 - Oshin Dutta, Tanu Kanvar, Sumeet Agarwal:
Search-Time Efficient Device Constraints-Aware Neural Architecture Search. 38-48 - Pankajbhai Narodia Parth, Kamalika Bhattacharjee:
Gödel Number Based Encoding Technique for Effective Clustering. 49-58
Machine Learning
- P. Sudhakar, K. Sreenivasa Rao, Pabitra Mitra:
Unsupervised Discovery of Recurring Spoken Terms Using Diagonal Patterns. 61-69 - Saumya Gandhi, Aayush Fadia, Ritik Agrawal, Surbhi Agrawal, Praveen Kumar:
MuOE: A Multi-task Ordinality Aware Approach Towards Engagement Detection. 70-79 - Ranjani Niranjan, Sachit Rao:
Handling Small Disjuncts and Class Skew Using Sequential Ellipsoidal Partitioning. 80-88 - Preetam Chayan Chatterjee, Partha Bhowmick:
Error-Bounded Bimodal Isotropic Remeshing Using Curvature Map and Voronoi Tessellation. 89-97 - Chandrima Debnath, Debashree Guha, Swati Rani Hait, Soumita Guria, Debjani Chakraborty:
Multi-criteria Decision-Making Based Classifier Ensemble by Using Prioritized Aggregation Operator. 98-105 - Mrinmay Sen, C. Krishna Mohan, A. Kai Qin:
Federated Optimization with Linear-Time Approximated Hessian Diagonal. 106-113
Deep Learning
- Tamizharasan Kanagamani, Madhuvanthi Muliya, V. Srinivasa Chakravarthy, Balaraman Ravindran, Ramshekhar N. Menon:
Oscillatory Network and Deep Value Network Based Memory Replay Model of Hippocampus. 117-127 - Anvaya Rai, Brejesh Lall, Astha Zalani, Raghwender Prakash, Shikha Srivastava:
Statistically Matched DWT Based Novel DNN Framework for Visual SLAM. 128-136 - Suyash Saxena, Varun Singh Negi, Kolin Paul:
Compression of Large LSTM Networks for Inference on Space Constraint Systems. 137-146 - Bhuvanagiri V. Hari Priya, B. Sirisha:
Deep Adaptive Pix-2-Pix Conditional Generative Adversarial Networks for Semantic Segmentation of Medium Resolution Google Earth Imagery. 147-156 - Nazir Shabbir, Ranjeet Kr. Rout, Saiyed Umer, Partha Pratim Mohanta:
Fine-Grained Attribute-Object Feature Representation in Compositional Zero-Shot Learning. 157-165 - Biswajit Patra, Dakshina Ranjan Kisku:
Precise and Faster Image Description Generation with Limited Resources Using an Improved Hybrid Deep Model. 166-175
Statistical Learning
- Nirjhar Das, Arpan Chattopadhyay:
Inverse Reinforcement Learning with Constraint Recovery. 179-188 - Jainendra Prakash, Mrinmoy Ghorai, Rakesh Kumar Sanodiya:
Transfer Learning: Kernel-Based Domain Adaptation with Distance-Based Penalization. 189-198 - Ashish Kumar Gupta, Meghna Barnwal, Deepak Mishra:
A Contrastive Learning Approach for Infrared-Visible Image Fusion. 199-208 - Rangachary Kommanduri, Mrinmoy Ghorai:
A Supervised Approach for Efficient Video Anomaly Detection Using Transfer Learning. 209-217 - Amit Soni Arya, Shreyanshu Thakur, Sushanta Mukhopadhyay:
Deep Sparse Representation Learning for Multi-class Image Classification. 218-227 - Subhrasankar Chatterjee, Subrata Pain, Debasis Samanta:
A Novel Graph Representation Learning Approach for Visual Modeling Using Neural Combinatorial Optimization. 228-237
Cognitive Computing
- Km Poonam, Aayush Prasad, Rajlakshmi Guha, Aritra Hazra, P. P. Chakrabarti:
Explainable Decision Tree-Based Screening of Cognitive Impairment Leveraging Minimal Neuropsychological Tests. 241-251 - Somsukla Maiti, Akshansh Gupta:
Semi-supervised Contrastive Regression for Estimation of Eye Gaze. 252-259 - S. Akshay, P. Kavya Bijith, S. Sanjana, Joseph Amudha:
iBEHAVE: Behaviour Analysis Using Eye Gaze Metrices. 260-269 - Sarthak Akre, Nilesh Palandurkar, Akshat Iyengar, Gourav Chayande, Praveen Kumar:
EngageDat-vL: A Multimodal Engagement Dataset Comprising of Emotional, Cognitive, and Behavioral Cues in Virtual Learning Environment. 270-278 - S. Akshay, B. Shreyas Bhargav, Joseph Amudha:
iGAME: Cognitive Game Analysis Through Eye Movements of the Player. 279-288 - Sweta Kaman, Ankita Sharma, Romi Banerjee:
Cortical Circuits of Context Adaptability: Understanding the Neurobehavioral Mechanisms Underlying Flexible Behavior. 289-298
Computational Intelligence
- Pratheesh Suresh, Debanjan Sadhya, Amitesh Singh Rajput:
Generation of Multi-Layered QR Codes with Efficient Compression. 301-311 - Avinash Dixit, Vinay Kulkarni, Vinod V. Reddy:
Analysis of Segmented Spectrograms for Human Activity Recognition via Neural Network. 312-320 - S. Uthiraa, Aditya Pusuluri, Hemant A. Patil:
Modified Group Delay Features for Emotion Recognition. 321-330 - Sergei O. Kuznetsov, Vasilii A. Gromov, Nikita S. Borodin, Andrei M. Divavin:
Formal Concept Analysis for Evaluating Intrinsic Dimension of a Natural Language. 331-339 - Vinnakota Saran Chaitanya, Sayali Deo, P. Santhi Thilagam:
User Interest Drift Identification Using Contextual Factors in Implicit Feedback-Based Recommender Systems. 340-347 - Vasilii A. Gromov, Alexandra S. Kogan:
Spot the Bot: Coarse-Grained Partition of Semantic Paths for Bots and Humans. 348-355
Medical Imaging
- Komal Kumar, Snehashis Chakraborty, Sudipta Roy:
Self-supervised Diffusion Model for Anomaly Segmentation in Medical Imaging. 359-368 - Moumita Dholey, Ritesh J. M. Santosham, Soumendranath Ray, Jayanta Das, Sanjoy Chatterjee, Rosina Ahmed, Jayanta Mukhopadhyay:
Ensemble Methods with [18F]FDG-PET/CT Radiomics in Breast Cancer Response Prediction. 369-379 - Swagata Kundu, Subhashis Banerjee, Dimitrios Toumpanakis, Johan Wikström, Robin Strand, Ashis Kumar Dhara:
3-D Attention-SEV-Net for Segmentation of Post-operative Glioblastoma with Interactive Correction of Over-Segmentation. 380-387 - Pranay Nath, Surajit Mondal, Lidia Ghosh:
Local Binary Pattern Induced Optimized CNN for Brain Tumor Diagnosis from MRI Data. 388-396 - Kaushik Raghavan, B. Sivaselavan, V. Kamakoti:
iPyrDAE: Image Pyramid-Based Denoising Autoencoder for Infrared Breast Images. 397-406 - Anindita Mohanta, Sourav Dey Roy, Niharika Nath, Mrinal Kanti Bhowmik:
Domain Adapted Few-Shot Learning for Breast Histopathological Image Classification. 407-417 - S. Suba, Nita Parekh:
Attention-CNN Model for COVID-19 Diagnosis Using Chest CT Images. 418-427
Image and Video Processing
- Manali Roy, Susanta Mukhopadhyay:
Multi-focus Image Fusion Using Reorganized DTT Moments and Sparse Representation. 431-440 - Sanandita Das, Dibyarup Dutta, Tanusree Ghosh, Ruchira Naskar:
Universal Detection and Source Attribution of Diffusion Model Generated Images with High Generalization and Robustness. 441-448 - Sangramjit Chakraborty, Monalisha Mahapatra, Anup Nandy:
Semi-supervised Video Object Segmentation Using Parallel Coattention Network. 449-456 - Sarosij Bose, Saikat Sarkar, Amlan Chakrabarti:
SoccerKDNet: A Knowledge Distillation Framework for Action Recognition in Soccer Videos. 457-464 - Allabakash Ghodesawar, Vinod Patil, Ankit Raichur, Swaroop Adrashyappanamath, Sampada Malagi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi:
DeFlare-Net: Flare Detection and Removal Network. 465-472 - A. Shrihari, Prithwijit Guha, Rishikesh Dilip Kulkarni:
A Novel Network Architecture for Microplankton Classification in Digital Holographic Images. 473-482 - Srinjoy Bhuiya, Suchandra Chakraborty, Subhopriyo Sadhukhan, Deba Prasad Mandal, Dinabandhu Bhandari:
Generation of Data for Training Retinal Image Segmentation Models. 483-491
Computer Vision
- Sougatamoy Biswas, Anup Nandy, Asim Kumar Naskar:
Object Detection with YOLO Model on NAO Humanoid Robot. 495-502 - Sambhunath Biswas, Sabyasachi Moitra:
Scene Estimation for Making Active Decisions. 503-513 - Daniil E. Kirilenko, Alexandr Korchemnyi, Konstantin Smirnov, Alexey K. Kovalev, Aleksandr I. Panov:
Quantized Disentangled Representations for Object-Centric Visual Tasks. 514-522 - Sudipta Bhuyan, Debashis Sen, Sankha Deb:
RGB-D Fusion Based on Fuzzy Optimization for Salient Object Detection. 523-531 - Mahek Jain, Guruprasad Kamat, Rochan Bachari, Vinayak A. Belludi, Dikshit Hegde, Ujwala Patil:
AfforDrive: Detection of Drivable Area for Autonomous Vehicles. 532-539 - Nandini Saini, Chiranjoy Chattopadhyay, Debasis Das:
Revealing the Unseen: A Single-Stage Attention Based Occluded Object Detection Model in Remote Sensing Imagery. 540-547 - Prateek Tewary, Jit Mukherjee:
A Study of Quantifying the Deviation of Remotely Sensed Objects from Multi-spectral Images. 548-556
Soft Computing
- Sourab Mandal, Paramartha Dutta:
Multi-objective Non-overlapping Front Generation: A Pivot-Based Deterministic Non-dominated Sorting Approach. 559-567 - Joy Adhikary, Sriyankar Acharyya:
Elephant Swarm Water Search Algorithm (LESWSA) for Solving Constrained Optimization Problems: A List Based Randomized Approach. 568-576 - Subashis Karmakar, Chiranjib Koley, Aniruddha Sinha, Sanjoy Kumar Saha, Tandra Pal:
Fuzzy Rule-Based Approach Towards Cognitive Load Measurement During Mental Task Using fNIRS. 577-586 - M. T. Indu, C. Shunmuga Velayutham:
A Grammatical Evolution Based Automated Configuration of an Ensemble Differential Evolution Algorithm. 587-596 - Vadlamudi Aadarsh, P. S. V. S. Sai Prasad:
Scalable Centroid Based Fuzzy Min-Max Neural Network Ensemble Classifier Using MapReduce. 597-607 - Arunita Das, Amrita Namtirtha, Animesh Dutta:
Membership Adjusted Superpixel Based Fuzzy C-Means for White Blood Cell Segmentation. 608-617
Information Security
- Monika Choudhary, Satyendra Singh Chouhan, Emmanuel Shubhakar Pilli, Nehul Singh:
MSPIS: Multimodal Suspicious Profile Identification System in Online Social Network. 621-628 - Krishnendu Maity, Satyam Kumar, Susanta Mukhopadhyay:
Ignore-and-Recalculate Strategy for a Lossless and Low-Cost Secret Image Sharing Scheme. 629-637 - Suman Karan, Suman Kundu:
Cyberbully: Aggressive Tweets, Bully and Bully Target Profiling from Multilingual Indian Tweets. 638-645 - Ashraf Kamal, Padmapriya Mohankumar, Vishal Kumar Singh:
Financial Misinformation Detection via RoBERTa and Multi-channel Networks. 646-653 - Arnab Chatterjee, Subrata Sarkar, Ishan Dutta, Suvamoy Changder:
Quantum Image Teleportation Based on Probabilistic Bit-Encoding Strategy. 654-662 - Sreeparna Ganguly, Ankit Mishra, Imon Mukherjee:
Annihilation of Image Stegogram Through Deep Texture Extraction Based Sterilization. 663-671
Signal Processing
- Suman Samui, Soumen Garai, Anindya Ghosh, Anand Kumar Mukhopadhyay:
Heterogeneous Stacked Ensemble Framework for Surface Electromyography Signal Classification. 675-682 - Kaushal Kishor, Spoorthy Venkatesh, Shashidhar G. Koolagudi:
Audio Fingerprinting System to Detect and Match Audio Recordings. 683-690 - Shalini Tomar, Shashidhar G. Koolagudi:
Analysis of Speaker Recognition in Blended Emotional Environment Using Deep Learning Approaches. 691-698 - Rahul Dasharath Gavas, Debatri Chatterjee, Soumya K. Ghosh, Arpan Pal:
Spatiotemporal Co-occurrence Index Using Spatiotemporal Variability Signals. 699-707 - Siddharth Rathod, Monil Charola, Hemant A. Patil:
Noise Robust Whisper Features for Dysarthric Severity-Level Classification. 708-715 - Swapnil Sawalkar, Pinki Roy:
Multilingual Speech Identification Framework (MSIF) A Novel Approach in Language Identification. 716-723 - Krishna Parmar, Baveet Singh Hora, Shrey Machhar, Hemant A. Patil, Kiran Praveen, Balaji Radhakrishnan:
Spoken Language Identification Using Linear Frequency Residual Cepstral Coefficients. 724-733
Computational Neurology
- Sushanta Kumar Sahu, Ananda S. Chowdhury:
Multi-modal Multi-class Parkinson Disease Classification Using CNN and Decision Level Fusion. 737-745 - Ashish Kumar, Subashis Karmakar, Isha Agarwal, Tandra Pal:
Mental Workload Classification with One-Dimensional CNN Using fNIRS Signal. 746-755 - Tonmoya Sarmah, Dhruba K. Bhattacharyya:
An Effective Centrality-Based Community Detection Approach Using scRNA-Seq Data for Critical Neuro-Degenerative Diseases. 756-763 - Shipra Swati, Mukesh Kumar:
Chronologically Arranged Convolutional Gated Recurrent Network for EEG-Based Schizophrenia Detection. 764-771 - Subrata Pain, Naincy Vimal, Debasis Samanta, Monalisa Sarma:
A Novel Brain Connectivity-Powered Graph Signal Processing Approach for Automated Detection of Schizophrenia from Electroencephalogram Signals. 772-779
Biometrics
- Anushree Basu, Anirban Dasgupta, Aurobinda Routray, Pabitra Mitra:
FVINet: Translating Thermograms to Facial Vasculature Imprints. 783-790 - Anvaya Rai, Brejesh Lall, Astha Zalani, Raghwender Prakash, Shikha Srivastava:
Enforcement of DNN with LDA-PCA-ELM for PIE Invariant Few-Shot Face Recognition. 791-801 - Shadab Ahmad, Rajarshi Pal, Avatharam Ganivada:
Identifying a Person in Mask: Fusion of Masked Face and Iris. 802-812 - Shivansh Chandra Tripathi, Rahul Garg:
A PCA-Based Keypoint Tracking Approach to Automated Facial Expressions Encoding. 813-823 - Santhoshkumar Peddi, Nishkal Prakash, Rakesh Krishna Konduru, Alka Ranjan, Debasis Samanta:
A Clustering-Based Approach for the Extraction of ROI from Fingerprint Images. 824-832
Bioinformatics
- Praveen Kumar Vesapogu, Bapi Raju Surampudi:
Encoded Deep Vectors for Eukaryotic Exon Prediction. 835-843 - Raihanul Bari Tanvir, Ricardo Ruiz, Samuel Ebert, Masrur Sobhan, Abdullah Al Mamun, Ananda Mohan Mondal:
Quantifying Intratumor Heterogeneity by Key Genes Selected Using Concrete Autoencoder. 844-852 - Pallabi Patowary, Dhruba K. Bhattacharyya, Pankaj Barah:
Identification of Potential Prognostic Biomarkers for ESCC Using Single-Cell RNA Sequencing Data Analysis. 853-861 - Debarun Chakraborty, Bhabesh Deka:
Litchi Fruit Instance Segmentation from UAV Sensed Images Using Spatial Attention-Based Deep Learning Model. 862-870 - Anup Kumar Halder, Abhishek Agarwal, Sevastianos Korsak, Karolina Jodkowska, Dariusz Plewczynski:
ccLoopER: Deep Prediction of CTCF and cohesin Mediated Chromatin looping Using DNA Transformer Model. 871-878
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