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ORCIDICPR 2024: Kolkata, India, Workshops and Challenges - Part I
- 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 I. Lecture Notes in Computer Science 15614, Springer 2025, ISBN 978-3-031-87656-1
W1
- Quoc-Toan Nguyen:
Echo-GRU: Emotion Recognition Using Wearable EEG Supporting Early Alzheimer's Disease Detection. 3-17 - Eleonora De Filippi, Arijit Nandi, Alexandre Pereda-Baños:
Misinformation Detection Through Multimodal Machine Learning Analysis of Eye-Tracking and Physiological Responses: A Proof-of-Concept Study. 18-33 - Abhishek Dwivedi, Lalit Birla, Chiranjit Pal, Arvinder Kaur:
Exploring CNN Model Optimization Strategies for Plant Disease Classification. 34-48 - Ashutosh Singh, Amit Kumar, Khushdeep Singh, Santosh Kumar:
A Deep Learning Approach for Early Stress Detection Using Electrodermal Activity Through Wearable Devices. 49-66 - Hugo Redinho, Pedro Lima Louro, André C. Santos, Ricardo Malheiro, Rui Pedro Paiva, Renato Panda:
Exploiting Automatic Source Separation and Music Transcription for Music Emotion Recognition. 67-82 - Anish Datta, Soma Bandyopadhyay, Gauri Deshpande, Ramesh K. Ramakrishnan, Arpan Pal:
Emotion Pattern Recognition of Speech Signals Using Representation Learning with Limited Annotations. 83-96 - Amdjed Belaref, Samir Sadok, Karim M. Ibrahim, Zineb Noumir, Renaud Séguier:
Can AI Decode the Circumplex Model of Affect? A Data-driven Study. 97-108 - Sanjeev Kumar Varun, Adarsh V. Parekkattil, Tharun Kumar Reddy:
A Spiking Neural Network Framework for Classifying Ictal and Interictal Epileptic States. 109-124
W2
- Sachin Kumar Shaw, Subhranil Som, Rabi Shaw:
Weak Students Classifying in Learning Pedagogy Based on Cognitive State. 127-141 - Anushka Mukherjee, Ritanath Malakar, Sumit Samanta, Tripti Majumdar:
A Multi-Algorithm Predictive Model for Early Detection and Risk Assessment of Juvenile Diabetes Using Advanced Machine Learning Technique. 142-153 - Shreyan Kundu, Nirban Roy, Pratyusha Chatterjee, Debajyoti Mitra, Tanima Bhowmik:
Automated Detection of Rice Crop Disorder Using Deep Learning Techniques. 154-166 - Khakon Das, Ashish Khare, Debashis Das Chakladar, Dinesh Jaluka:
Fusion in Medical Imaging Techniques for Enhancing Stroke Region Detection: A Selective Review. 167-179 - Prasun Payne, Rohi Velgina Romould, Jheelam Mondal, Rajdeep Chatterjee, Mahendra Kumar Gourisaria:
Beyond Microscope: Advances in Technology for Detection of Cervical Cancer. 180-193 - Srinithi Mitra, Utkarsh Patel, Sricheta Parui:
Unraveling Autism Through FCN Using Hierarchical Support Vector Machine (H-SVM) and Interactive Embedding-K Nearest Neighbors (InEm-KNN). 194-208 - Deepak Mewada, Mohammed Fayiz Parappan, Debasis Samanta:
Deep Learning Pipeline for EEG Classification: Evaluating Models, Preprocessing and Subject Generalizability. 209-224 - Aayush Arora, Junali Jasmine Jena, Pradipto Chowdhury, Mahendra Kumar Gourisaria, Sricheta Parui:
Early Detection of Diabetic Retinopathy: An Explainable AI Approach Using DR-NET. 225-239 - Ashish Kumar Padhi, Saksham Garg, Rinku Datta Rakshit, Dakshina Ranjan Kisku:
An Effective Pathway of Brain Stroke Detection from CT Scan Images Using Local Directional Octa Pattern. 240-252 - Jyoti Nigam, Aditya Prakash, M. Uthamkumar, Samvaidan Salgotra, Arnav Bhavsar:
EEG-Depth: Learning Structural Information from Visual Brain Decoding via Depth Estimation. 253-264 - Sricheta Parui, Srinithi Mitra, Anjali Diwan:
Advancing EEG-Based Emotion Detection with Fusion of F-Connectivity and EMD Features and Ensemble Classification. 265-283
W7
- André Dörsch, Torsten Schlett, Peter Munch, Christian Rathgeb, Christoph Busch:
Fairness Measures for Biometric Quality Assessment. 287-298 - Kassi Nzalasse, Rishav Raj, Eli J. Laird, Corey Clark:
SIG: A Synthetic Identity Generation Pipeline for Generating Evaluation Datasets for Face Recognition. 299-313 - Ivan DeAndres-Tame, Muhammad Faisal, Ruben Tolosana, Rouqaiah Al-Refai, Rubén Vera-Rodríguez, Philipp Terhörst:
From Pixels to Words: Leveraging Explainability in Face Recognition Through Interactive Natural Language Processing. 314-328 - Laurin Jonientz, Johannes Merkle, Christian Rathgeb, Benjamin Tams, Georg Merz:
Deep Learning-Based Compression Detection for Explainable Face Image Quality Assessment. 329-342 - Geetanjali Sharma, Abhishek Tandon, Gaurav Jaswal, Aditya Nigam, Raghavendra Ramachandra:
Impact of Iris Pigmentation on Performance Bias in Visible Iris Verification Systems: A Comparative Study. 343-356 - Abu Sufian, Marco Leo, Cosimo Distante, Anirudha Ghosh, Debaditya Barman:
Can Vision Transformers with ResNet's Global Features Fairly Authenticate Demographic Faces? 357-370 - Jean-Rémy Conti, Stéphan Clémençon:
Mitigating Bias in Facial Recognition Systems: Centroid Fairness Loss Optimization. 371-385 - Shukesh Reddy, Nishit Poddar, Srijan Das, Abhijit Das:
Self-supervised Auxiliary Learning for Texture and Model-Based Hybrid Robust and Fair Featuring in Face Analysis. 386-401
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