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ORCIDICPRAI 2022: Paris, France - Part II
- Mounim A. El-Yacoubi
, Eric Granger, Pong Chi Yuen, Umapada Pal, Nicole Vincent:
Pattern Recognition and Artificial Intelligence - Third International Conference, ICPRAI 2022, Paris, France, June 1-3, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13364, Springer 2022, ISBN 978-3-031-09281-7
Pattern Recognition
- Paschalis Panteleris, Antonis A. Argyros:
PE-former: Pose Estimation Transformer. 3-14 - Dane Lang, Dustin van der Haar:
ConDense: Multiple Additional Dense Layers with Fine-Grained Fully-Connected Layer Optimisation for Fingerprint Recognition. 15-27 - Anastasios Alexiadis, Alexandros Nizamis, Dimitrios Giakoumis, Konstantinos Votis, Dimitrios Tzovaras:
A Sensor-Independent Multimodal Fusion Scheme for Human Activity Recognition. 28-39 - John Doherty, Bryan Gardiner, Emmett Kerr, Nazmul H. Siddique, Sunilkumar S. Manvi:
Comparative Study of Activation Functions and Their Impact on the YOLOv5 Object Detection Model. 40-52 - Marko Djukanovic, Dragan Matic, Christian Blum, Aleksandar Kartelj:
Application of A* to the Generalized Constrained Longest Common Subsequence Problem with Many Pattern Strings. 53-64 - Yilin Su, Yongsheng Li, Lina Ge, Minjun Dai:
Robot Path Planning Method Based on Improved Grey Wolf Optimizer. 65-77 - Rémi Dufour, Cyril Meurie, Olivier Lézoray, Ankur Mahtani:
Space-Time Memory Networks for Multi-person Skeleton Body Part Detection. 78-90 - Wardah Farrukh, Dustin van der Haar:
Lip-Based Identification Using YOLOR. 91-101 - Majid Banaeyan, Walter G. Kropatsch:
Parallel 풪(log(n)) Computation of the Adjacency of Connected Components. 102-113 - Issam Boukhennoufa, Xiaojun Zhai, Victor Utti, Jo Jackson, Klaus D. McDonald-Maier:
Encoding Sensors' Data into Images to Improve the Activity Recognition in Post Stroke Rehabilitation Assessment. 114-123 - Shitala Prasad, Pankaj Pratap Singh, Piyush Kumar:
Momentum Residual Embedding with Angular Marginal Loss for Plant Pathogen Biometrics. 124-136
Classification
- Samia Benyahia, Boudjelal Meftah, Olivier Lézoray:
Hierarchical Approach for the Classification of Multi-class Skin Lesions Based on Deep Convolutional Neural Networks. 139-149 - Matthew Middlehurst, Anthony J. Bagnall:
The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier. 150-161 - Victor Fortier, Isabelle Bloch, Catherine Pelachaud:
Robust Detection of Conversational Groups Using a Voting Scheme and a Memory Process. 162-173 - Melissa R. Dale, Arun Ross, Erik M. Shapiro:
Fusing AutoML Models: A Case Study in Medical Image Classification. 174-185 - Philipp Gräbel, Martina Crysandt, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof:
Ordinal Classification and Regression Techniques for Distinguishing Neutrophilic Cell Maturity Stages in Human Bone Marrow. 186-195 - Amir Dehsarvi, Jennifer Kay South Palomares, Stephen Leslie Smith:
Towards Automated Monitoring of Parkinson's Disease Following Drug Treatment. 196-207 - Manal Hamzaoui, Laetitia Chapel, Minh-Tan Pham, Sébastien Lefèvre:
A Hierarchical Prototypical Network for Few-Shot Remote Sensing Scene Classification. 208-220 - Jason Lines, George Oastler:
TS-QUAD: A Smaller Elastic Ensemble for Time Series Classification with No Reduction in Accuracy. 221-232
Machine Learning
- Mrouj Almuhajri, Ching Y. Suen:
Shop Signboards Detection Using the ShoS Dataset. 235-245 - Chen Hu, Xianghua Xie:
One-Shot Decoupled Face Reenactment with Vision Transformer. 246-257 - Ghazal Alinezhad Noghre, Armin Danesh Pazho, Justin Sanchez, Nathan Hewitt, Christopher Neff, Hamed Tabkhi:
ADG-Pose: Automated Dataset Generation for Real-World Human Pose Estimation. 258-270 - Sotirios Chatzidimitriadis, Konstantinos Sirlantzis:
Deep Reinforcement Learning for Autonomous Navigation in Robotic Wheelchairs. 271-282 - Rafael Harth:
Understanding Individual Neurons of ResNet Through Improved Compositional Formulas. 283-294 - Xiaonan Huang, Ning Bi, Jun Tan:
Visual Transformer-Based Models: A Survey. 295-305 - Guillaume Chambaret, Laure Berti-Équille, Frédéric Bouchara, Emmanuel Bruno, Vincent Martin, Fabien Chaillan:
Stochastic Pairing for Contrastive Anomaly Detection on Time Series. 306-317 - Julien Hautot, Céline Teulière, Nourddine Azzaoui:
Visual Radial Basis Q-Network. 318-329 - Itzel Belderbos, Tim de Jong, Mirela Popa:
GANs Based Conditional Aerial Images Generation for Imbalanced Learning. 330-342 - Mathias Fuchs, Kaspar Riesen:
Augment Small Training Sets Using Matching-Graphs. 343-354 - Akshaykumar Gunari, Shashidhar Veerappa Kudari, Ramesh Ashok Tabib, Uma Mudenagudi:
Progressive Clustering: An Unsupervised Approach Towards Continual Knowledge Acquisition of Incremental Data. 355-367 - Upinder Kaur, Xin Ma, Richard M. Voyles, Byung-Cheol Min:
Malware Detection Using Pseudo Semi-Supervised Learning. 368-379
Information Extraction
- Thomas Guyet, Laurent Spillemaecker, Simon Malinowski, Anne-Isabelle Graux:
Temporal Disaggregation of the Cumulative Grass Growth. 383-394 - Erick Barrios González, Mireya Tovar Vidal, Guillermo De Ita Luna, José Alejandro Reyes-Ortíz:
Extraction of Entities in Health Domain Documents Using Recurrent Neural Networks. 395-406 - Mariya Evtimova-Gardair, Nedra Mellouli:
An Overview of Methods and Tools for Extraction of Knowledge for COVID-19 from Knowledge Graphs. 407-418 - Marvin Herchenbach, Dennis Müller, Stephan Scheele, Ute Schmid:
Explaining Image Classifications with Near Misses, Near Hits and Prototypes - Supporting Domain Experts in Understanding Decision Boundaries. 419-430 - Achraf Krim Rahaoui, Theobald de Riberolles, Jiefu Song:
Adaptive Threshold for Anomaly Detection in ATM Radar Data Streams. 431-442 - Anmol Bansal, Seba Susan, Arjun Choudhry, Anubhav Sharma:
Covid-19 Vaccine Sentiment Analysis During Second Wave in India by Transfer Learning Using XLNet. 443-454 - Bastien Zimmermann, Matthieu Boussard:
Improving Drift Detection by Monitoring Shapley Loss Values. 455-466 - Jiaqi Zhang, Cheng-Lin Liu, Xiaoyi Jiang:
Interpolation Kernel Machine and Indefinite Kernel Methods for Graph Classification. 467-479 - Rashida Hasan, Chee-Hung Henry Chu:
DRN: Detection and Removal of Noisy Instances with Self Organizing Map. 480-491 - Shufan Jiang, Rafael Angarita, Stéphane Cormier, Julien Orensanz, Francis Rousseaux:
Informativeness in Twitter Textual Contents for Farmer-centric Plant Health Monitoring. 492-503 - Emmanouil Sylligardos, Markos Sigalas, Stella Soundoulounaki, Katerina Vaporidi, Panos E. Trahanias:
A Deep Learning Approach to Detect Ventilatory Over-Assistance. 504-515
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