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ORCIDICPR 2024: Kolkata, India, Workshops and Challenges - Part II
- Shivakumara Palaiahnakote, Stephanie Schuckers, Jean-Marc Ogier, Prabir Bhattacharya, Umapada Pal
, Saumik Bhattacharya:
Pattern Recognition. ICPR 2024 International Workshops and Challenges - Kolkata, India, December 1, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15615, Springer 2025, ISBN 978-3-031-87659-2
W4
- Paolo Perliti Scorzoni, Anita Giovanetti, Federico Bolelli, Costantino Grana:
Optimizing Resource Allocation in Public Healthcare: A Machine Learning Approach for Length-of-Stay Prediction. 3-18 - Praveen D. Chougale, Adithya B. Somaraj, Usha Ananthakumar:
Predicting Malaria Cases in Mumbai: Insights from Statistical and Machine Learning Models. 19-34 - Weverton Lucas Santos Trindade, João Dallyson Sousa de Almeida, Geraldo Braz Júnior, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva:
Automatic Glaucoma Detection Using Structural Features and Taxonomic Indices. 35-48 - Deva Satya Sriram Chintapenta, Aman Verma, Saikat Majumder:
MFConvTr: Multi-frequency Convolutional Transformer for Fetal Arrhythmia Detection in Non-invasive fECG. 49-59 - Antônio Pedro Vieira Lima, Filipe Correa Belfort, Italo Francyles Santos da Silva, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva:
Classification of Age-Related Macular Degeneration in Fundus Images Using Deep Features and Gradient-Boosted Decision Trees: An Experimental Study. 60-73 - Snehal Rajput, Rupal Kapdi, Mehul S. Raval, Mohendra Roy:
Interpreting Survival Predictor Model for Glioblastoma Using Explainable Artificial Intelligence. 74-91 - Massimiliano Mantegna, Lorenzo Tronchin, Matteo Tortora, Paolo Soda:
Benchmarking GAN-Based vs Classical Data Augmentation on Biomedical Images. 92-104 - Adigopula Hemanth, M. S. Kovid, Sure Vinay, Balaji T. K., Annushree Bablani:
Tweet Depression Analysis Using Deep Learning Techniques. 105-115 - Cesare Davide Pace, Alessandro Marco De Nunzio, Claudio De Stefrano, Francesco Fontanella, Mario Molinara:
Markerless Machine Learning Approach for Gait Classification in Knee Osteoarthritis. 116-128 - Audrey Na:
Identification Improvement of Malignant Skin Diseases for Diverse Skin Tones with Grad-CAM. 129-140 - Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Olga Pustovalova:
Advancements and Challenges in Artificial Intelligence for Lewy Body Disease Research: A Brief Survey. 141-153 - Fatih Aksu, Ermanno Cordelli, Fabrizia Gelardi, Arturo Chiti, Paolo Soda:
Enhancing NSCLC Histological Subtype Classification: A Federated Learning Approach Using Triplet Loss. 154-168 - Alessandro Pani, Andrea Loddo, Lorenzo Putzu, Luca Zedda, Cecilia Di Ruberto:
MIRIAMS: Models Integration for Reliable Identification and Accurate Multiple Sclerosis Segmentation. 169-183 - Mahshid Shiri, Alessandro Bruno, Daniele Loiacono:
Memory-Efficient 3D High-Resolution Medical Image Synthesis Using CRF-Guided GANs. 184-194 - R. Premalatha, K. B. Jayanthi, C. Rajasekaran, R. Sureshkumar, R. Dhanalakshmi:
Enhancing Domain Adaptation in Continual Learning with Elastic Weight Consolidation: A Multi-Dataset Deep Learning Approach. 195-209 - S. Praveenkumar, V. Nitin Shreyes, K. B. Jayanthi, C. Rajasekaran, R. Premalatha, R. Sureshkumar:
High Performance Optimal Transfer Learning Architecture for Classification of Radiation Induced Lung Injury in Breast Cancer Patients. 210-223 - Andrzej W. Przybyszewski, Jerzy Pawel Nowacki, Aldona Drabik:
Pattern Classification Can Detect Prodromal Alzheimer's Neurodegenerations. 224-239 - Asma Bensalah, Antonio Parziale, Rosanna Coccaro, Angelo Marcelli, Alicia Fornés, Josep Lladós:
HS-Gen: Human-Like Handwriting Synthetic Generation - A Preliminary Investigation. 240-254 - Domenico Paolo, Ciro Russo, Giulio Russo, Carlo Greco, Alessio Cortellini, Marco Russano, Sara Ramella, Paolo Soda, Claudio Marrocco, Alessandro Bria, Rosa Sicilia:
Pathologic Complete Response Prediction with Machine Learning Using Hierarchical Attention Feature Extraction. 255-267 - Ciro Russo, Yusuf B. Tanriverdi, Alessandro Bria, Claudio Marrocco:
A Pixel-Based Anchor Approach for Nuclei Detection in Cervical Cytology Imaging. 268-278 - Nicole Dalia Cilia, Valerio Mario Salerno, Roberta Malaguarnera, Francesco Pallotti:
Machine Learning Applications in Male Factor Infertility: Have Cytokines a Role in the Diagnostic Work-Up of Varicocele? 279-292
W8
- Ajoy Dey, Chetan Kadway, Sounak Dey:
Towards On-Device Learning and Personalization: A Case of In-Car Driver Drowsiness Detection System Using Neuromorphic Computing. 295-310 - Mira Adra, Nélida Mirabet-Herranz, Jean-Luc Dugelay:
Beyond RGB: Tri-Modal Microexpression Recognition with RGB, Thermal, and Event Data. 311-324 - Pavlos Tosidis, Nikolaos Passalis, Anastasios Tefas:
Continual Updates of Face Embeddings Using Deep Reinforcement Learning. 325-336 - Alex Ergasti, Claudio Ferrari, Tomaso Fontanini, Massimo Bertozzi, Andrea Prati:
Controllable Face Synthesis with Semantic Latent Diffusion Models. 337-352 - Giuseppe Spathis, Nicolò Di Domenico, Guido Borghi, Annalisa Franco, Davide Maltoni:
AMONOT: Synthetic Aging for Differential Morphing Attack Detection Systems. 353-367 - Emre Girgin, Berk Gökberk, Lale Akarun:
Detection and Quantification of Occlusion for 3D Human Pose and Shape Estimation. 368-382 - Shweta Patel, Dakshina Ranjan Kisku:
Improving Bias in Facial Attribute Classification: A Combined Impact of KL Divergence-Induced Loss Function and Dual Attention. 383-397 - Gonzalo Garrido-Lopez, Luis Felipe Gomez-Gomez, Julian Fierrez, Aythami Morales, Ruben Tolosana, Javier Rueda, Enrique Navarro:
VideoRun2D: Cost-Effective Markerless Motion Capture for Sprint Biomechanics. 398-412 - Lorenzo Berlincioni, Luca Cultrera, Gabriele Magrini, Federico Becattini, Pietro Pala, Alberto Del Bimbo:
Feature Hallucination via Privileged Information for Neuromorphic Face Analysis. 413-426
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