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ORCID29th ICONIP 2022: Virtual Event - Part VII
- Mohammad Tanveer, Sonali Agarwal
, Seiichi Ozawa, Asif Ekbal, Adam Jatowt:
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part VII. Communications in Computer and Information Science 1794, Springer 2023, ISBN 978-981-99-1647-4
Applications II
- Zipeng Wu, Chu Kiong Loo, Kitsuchart Pasupa, Licheng Xu:
An Interpretable Multi-target Regression Method for Hierarchical Load Forecasting. 3-12 - Adam Pardyl, Dawid Rymarczyk, Zbislaw Tabor, Bartosz Zielinski:
Automating Patient-Level Lung Cancer Diagnosis in Different Data Regimes. 13-24 - Snehashis Majhi, Deepak Ranjan Nayak, Ratnakar Dash, Pankaj Kumar Sa:
Multi-level 3DCNN with Min-Max Ranking Loss for Weakly-Supervised Video Anomaly Detection. 25-37 - Xujian Zhao, Junli Wang, Peiquan Jin, Chongwei Wang, Chunming Yang, Bo Li, Hui Zhang:
Automatically Generating Storylines from Microblogging Platforms. 38-50 - Bao-Sinh Nguyen, Dung Tien Le, Hieu M. Vu, Tuan-Anh D. Nguyen, Minh-Tien Nguyen, Hung Le:
Improving Document Image Understanding with Reinforcement Finetuning. 51-63 - Shuang Yang, Daren Zha, Cong Xue:
MSK-Net: Multi-source Knowledge Base Enhanced Networks for Script Event Prediction. 64-76 - Pranab Sahoo, Sriparna Saha, Samrat Mondal, Sujit Chowdhury, Suraj Gowda:
Vision Transformer-Based Federated Learning for COVID-19 Detection Using Chest X-Ray. 77-88 - Bao-Sinh Nguyen, Quang-Bach Tran, Tuan-Anh D. Nguyen, Hung Le:
HYCEDIS: HYbrid Confidence Engine for Deep Document Intelligence System. 89-99 - Xi Wang, Canlong Zhang, Zhixin Li, Zhiwen Wang:
Multi-level Network Based on Text Attention and Pose-Guided for Person Re-ID. 100-112 - Siyuan Yu, Hao Wang, Anna Zhu:
Sketch Image Style Transfer Based on Sketch Density Controlling. 113-125 - Nikhil Ojha, Indrajeet Kumar Sinha, Krishna Pratap Singh:
VAE-AD: Unsupervised Variational Autoencoder for Anomaly Detection in Hyperspectral Images. 126-137 - Wanqiang Cai, Bin Wang:
DSE-Net: Deep Semantic Enhanced Network for Mobile Tongue Image Segmentation. 138-150 - Dibyendu Das, Nikhilanand Arya, Sriparna Saha:
Efficient-Nets and Their Fuzzy Ensemble: An Approach for Skin Cancer Classification. 151-162 - Rakesh Kumar, Amrita Chaturvedi:
A Framework for Software Defect Prediction Using Optimal Hyper-Parameters of Deep Neural Network. 163-174 - Medha, Jitender Kumar Chhabra, Dinesh Kumar:
Improved Feature Fusion by Branched 1-D CNN for Speech Emotion Recognition. 175-186 - Susmita Palmal, Nikhilanand Arya, Sriparna Saha, Somanath Tripathy:
A Multi-modal Graph Convolutional Network for Predicting Human Breast Cancer Prognosis. 187-198 - Kapil Deshpande, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Anomaly Detection in Surveillance Videos Using Transformer Based Attention Model. 199-211 - Debasrita Chakraborty, Susmita Ghosh, Ashish Ghosh, Emmett J. Ientilucci:
Change Detection in Hyperspectral Images Using Deep Feature Extraction and Active Learning. 212-223 - Nripendra Kumar Singh, Khalid Raza:
TeethU2Net: A Deep Learning-Based Approach for Tooth Saliency Detection in Dental Panoramic Radiographs. 224-234 - Jérémie Cabessa, Hugo Hernault, Yves Lamonato, Mathieu Rochat, Yariv Z. Levy:
The EsnTorch Library: Efficient Implementation of Transformer-Based Echo State Networks. 235-246 - Jianping Yao, Son N. Tran, Hieu Nguyen, Samantha Sawyer, Rocco Longo:
Wine Characterisation with Spectral Information and Predictive Artificial Intelligence. 247-259 - Yaxin Liu, Yan Zhou, Ziming Li, Dongjun Wei, Wei Zhou, Songlin Hu:
MRCE: A Multi-Representation Collaborative Enhancement Model for Aspect-Opinion Pair Extraction. 260-271 - Huanlei Chen, Weiwen Zhang, Lianglun Cheng, Haiming Ye:
Diverse and High-Quality Data Augmentation Using GPT for Named Entity Recognition. 272-283 - Michal Dedek, Rafal Scherer:
Transformer-Based Original Content Recovery from Obfuscated PowerShell Scripts. 284-295 - Bilal Hussain Abbasi, Qi Zhong, Leo Yu Zhang, Shang Gao, Antonio Robles-Kelly, Robin Doss:
A Generic Enhancer for Backdoor Attacks on Deep Neural Networks. 296-307 - Poornima Singh Thakur, Pritee Khanna, Tanuja Sheorey, Aparajita Ojha:
Attention Based Twin Convolutional Neural Network with Inception Blocks for Plant Disease Detection Using Wavelet Transform. 308-319 - Nagaraj V. Dharwadkar, Mufti Mahmud, Ashutosh A. Lonikar, David J. Brown:
A Medical Image Steganography Scheme with High Embedding Capacity to Solve Falling-Off Boundary Problem Using Pixel Value Difference Method. 320-332 - Ashok Ajad, Taniya Saini, M. Kumar Niranjan, Ansuj Joshi, M. L. Kumar Swaroop:
Deep Ensemble Architecture: A Region Mapping for Chest Abnormalities. 333-344 - Sagnik Sarkar, Shaashwat Agrawal, Thippa Reddy Gadekallu, Mufti Mahmud, David J. Brown:
Privacy-Preserving Federated Learning for Pneumonia Diagnosis. 345-356 - Bo Zhang, Shiqi Liu, Xiaoliang Xie, Xiao-Hu Zhou, Zengguang Hou, Meng Song, Xiyao Ma, Lin-Sen Zhang:
Towards Automated Segmentation of Human Abdominal Aorta and Its Branches Using a Hybrid Feature Extraction Module with LSTM. 357-368 - Abhijeet Swain, Vaibhav Ganatra, Snehanshu Saha, Archana Mathur, Rekha Phadke:
P-LSTM: A Novel LSTM Architecture for Glucose Level Prediction Problem. 369-380 - Runshan Xie, Shitong Wang:
Wide Ensemble of Interpretable TSK Fuzzy Classifiers with Application to Smartphone Sensor-Based Human Activity Recognition. 381-394 - Stanislaw Kazmierczak, Zofia Juszka, Rafal Wojciech Grzeszczuk, Marcin Kurdziel, Vaska Vandevska-Radunovic, Piotr Fudalej, Jacek Mandziuk:
Prediction of the Facial Growth Direction: Regression Perspective. 395-407 - Tanya Liyaqat, Tanvir Ahmad, Chandni Saxena:
A Methodology for the Prediction of Drug Target Interaction Using CDK Descriptors. 408-419 - Sarwan Ali, Taslim Murad, Murray Patterson:
PSSM2Vec: A Compact Alignment-Free Embedding Approach for Coronavirus Spike Sequence Classification. 420-432 - Sadhana Tiwari, Ritesh Chandra, Sonali Agarwal:
An Optimized Hybrid Solution for IoT Based Lifestyle Disease Classification Using Stress Data. 433-445 - Tanu Wadhera, Mufti Mahmud, David J. Brown:
A Deep Concatenated Convolutional Neural Network-Based Method to Classify Autism. 446-458 - Manu Kohli, Arpan Kumar Kar, Varun Ganjigunte Prakash, A. P. Prathosh:
Deep Learning-Based Human Action Recognition Framework to Assess Children on the Risk of Autism or Developmental Delays. 459-470 - Shitao Lu, Yi Zhang, Jiacheng Zhao, Changjie Cheng, Lizhuang Ma:
Dynamic Convolutional Network for Generalizable Face Anti-spoofing. 471-482 - Rajesh Dwivedi, Deepak Kumar:
Challenges of Facial Micro-Expression Detection and Recognition: A Survey. 483-492 - Harshit Gupta, Tarun Kumar Rajput, Ranjana Vyas, O. P. Vyas, Antonio Puliafito:
Biometric Iris Identifier Recognition with Privacy Preserving Phenomenon: A Federated Learning Approach. 493-504 - Nisha Singh Chauhan, Neetesh Kumar:
Traffic Flow Forecasting Using Attention Enabled Bi-LSTM and GRU Hybrid Model. 505-517 - Ayush Sinha, Shubham Dwivedi, Sandeep Kumar Shukla, O. P. Vyas:
Commissioning Random Matrix Theory and Synthetic Minority Oversampling Technique for Power System Faults Detection and Classification. 518-529 - Qibin Zhou, Tuo Qu, Yuntao Han, Fuqing Duan:
Deep Reinforcement Learning with Comprehensive Reward for Stock Trading. 530-541 - Pattanapong Chantamit-o-pas, Pattanayu Sangaroon, Jukkapat Srisura:
Deep Learning Based Automobile Identification Application. 542-552 - Sourav Mishra, Vijay Kumar Chaurasiya:
Automatic Firearm Detection in Images and Videos Using YOLO-Based Model. 553-566
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