IJCNN

Publications

2023

Lei Li, Mengnan He, Pengcheng Wu, Peng Liu, Ke Huang, Fan Pan, Peng Chen, Qijun Zhao
Video-based Red Panda Individual Identification by Adaptively Aggregating Discriminative Features. IJCNN (2023)
Thuy Dung Nguyen, Anh Duy Nguyen, Thanh-Hung Nguyen, Kok-Seng Wong, Huy Hieu Pham, Truong Thao Nguyen, Phi Le Nguyen
FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection. IJCNN (2023)
Yaxin Ma, Ming Li, Jun Chang
A Hierarchical Vision Transformer Using Overlapping Patch and Self-Supervised Learning. IJCNN (2023)
Yanan Guo, Xiaoqun Cao, Kecheng Peng
Application of Improved Physics-Informed Deep Learning Based on Activation Function for Solving Nonlinear Soliton Equation. IJCNN (2023)
Zhao Ren, Thanh Tam Nguyen, Mohammad Mehdi Zahedi, Wolfgang Nejdl
Self-Explaining Neural Networks for Respiratory Sound Classification with Scale-free Interpretability. IJCNN (2023)
Muskaan Chopra, Prakash Chandra Chhipa, Gopal Mengi, Varun Gupta, Marcus Liwicki
Domain Adaptable Self-supervised Representation Learning on Remote Sensing Satellite Imagery. IJCNN (2023)
Ying Huang, Zhi Wang, Qiang Chen, Wu Chen
Robust Principal Component Analysis via Truncated $L_{1-2}$ Minimization. IJCNN (2023)
Danny van den Berg, Tom Slooff, Marco Brohet, Kostas Papagiannopoulos, Francesco Regazzoni
Data Under Siege: The Quest for the Optimal Convolutional Autoencoder in Side-Channel Attacks. IJCNN (2023)
Shen Liu, Xinshu Shen, Tingting Liu, Man Lan
Document-level Relation Extraction with Entity Interaction and Commonsense Knowledge. IJCNN (2023)
Yalun Wang, Shidong Chen, Huicong Bian, Weixiao Li, Qin Lu
Deep Multi - Resolution Network for Real- Time Semantic Segmentation in Street Scenes. IJCNN (2023)
Dinesh Singh, Héctor Climente-González, Mathis Petrovich, Eiryo Kawakami, Makoto Yamada
FsNet: Feature Selection Network on High-dimensional Biological Data. IJCNN (2023)
Sérgio Baldo Júnior, Murillo G. Carneiro, João-Batista Destro-Filho, Liang Zhao, Renato Tinós
Classification of coma etiology using convolutional neural networks and long-short term memory networks. IJCNN (2023)
Yuta Yajima, Jun Kato, Akihiro Inokuchi
The Third Common Interface for Graph Neural Networks. IJCNN (2023)
Andrzej Nowakowski, Radoslaw Matusik, Anna Michalak
Fixed-time stabilization for impulsive neural networks. IJCNN (2023)
Yifan Shang, Xiucai Ye, Tetsuya Sakurai
Common and Unique Features Learning in Multi-view Network Embedding. IJCNN (2023)
Guangyao Li, Mingxue Liao, Yongyue Chao, Pin Lv
DenseStream: A Novel Data Representation for Gradient Sparsification in Distributed Synchronous SGD Algorithms. IJCNN (2023)
José Jerovane da Costa Nascimento, Adriell Gomes Marques, Matheus Araujo dos Santos, Lucas de O. Santos, Julio Macedo Chaves, Luís Fabrício de F. Souza, Pedro Pedrosa Rebouças Filho
New Health of Things Approach to Classification and Detection of Brain Tumors Using Transfer Learning for Segmentation in IMR Images. IJCNN (2023)
Jianzong Wang, Xulong Zhang, Haobin Tang, Aolan Sun, Ning Cheng, Jing Xiao
SAR: Self-Supervised Anti-Distortion Representation for End-To-End Speech Model. IJCNN (2023)
An Cao, Yilin Zhou, Gang Shen
LisaCLIP: Locally Incremental Semantics Adaptation towards Zero-shot Text-driven Image Synthesis. IJCNN (2023)
Hiroki Kobayashi, Manabu Hashimoto
DRepT: Anomaly Detection Based on Transfer of Defect Representation with Transmittance Mask. IJCNN (2023)
Saima Absar, Yongkai Wu, Lu Zhang
Neural Time-Invariant Causal Discovery from Time Series Data. IJCNN (2023)
Akshit Garg, Vijay Vignesh Venkataramani, U. Deva Priyakumar
Single-Lead to Multi-Lead Electrocardiogram Reconstruction Using a Modified Attention U-Net Framework. IJCNN (2023)
Heng Zhao, Xinran Li, Jiakai Xu, Xianghua Fu, Jiehao Chen
Financial Time Series Data Prediction by Combination Model Adaboost-KNN-LSTM. IJCNN (2023)
Hao Cheng, Wei Zhang, Shuo Wang, Hao Liao
Explainable Restaurant Closure Prediction through Co-Attentive Contrastive Learning. IJCNN (2023)
Yujie Gu, Huiyan Sun, Yansong Wang, Haobo Shi
Improve Robustness of Graph Neural Networks: Multi-hop Neighbors Meet Homophily-based Truncation Defense. IJCNN (2023)
James Mochizuki-Freeman, Sahaj Singh Maini, Zoran Tiganj
Characterizing neural activity in cognitively inspired RL agents during an evidence accumulation task. IJCNN (2023)
Xin-Wei Yao, Chuan He, Wei-Wei Xing, Qi-Chao Lu, Xin-Ge Zhang, Yu-Chen Zhang
DDIN: Deep Disentangled Interest Network for Click-Through Rate Prediction. IJCNN (2023)
Maan Alhazmi, Abdulrahman Altahhan
Best Fit Activation Functions for Attention Mechanism: Comparison and Enhancement. IJCNN (2023)
Dibyanayan Bandyopadhyay, Aizan Zafar, Asif Ekbal, Mohammed Hasanuzzaman
End to End Sign Language Translation via Multitask Learning. IJCNN (2023)
Peipei Liu, Hong Li, Zhiyu Wang, Yimo Ren, Jie Liu, Fei Lv, Hongsong Zhu, Limin Sun
CEntRE: A paragraph-level Chinese dataset for Relation Extraction among Enterprises. IJCNN (2023)
Khanh-Van Nguyen, Md. Rafiqul Islam, Huan Huo, Peter Tilocca, Guandong Xu
Explainable exclusion in the life insurance using multi-label classifier. IJCNN (2023)
Min Chen, Zhiqiang Pu, Yi Pan, Jianqiang Yi, Yixiong Cui, Lida Du
All for Goals: a Stylized Automated Analysis Framework in Football Matches. IJCNN (2023)
Sanbi Luo
Insty-GAN for Image-to-Image Location Transfer. IJCNN (2023)
Jacob Piland, Christopher Sweet, Priscila Saboia, Charles Vardeman II, Adam Czajka
Non-Generative Energy Based Models. IJCNN (2023)
Congying Xing, Lefei Zhang
Multi-Scale Depth-Aware Unsupervised Domain Adaption in Semantic Segmentation. IJCNN (2023)
Chao Gao, Jiaran Hao, Ya Guo
OSDet: Towards Open-Set Object Detection. IJCNN (2023)
Xinyang Li, Xinyu Lei, Yantao Li, Huafeng Qin, Yiwen Hu
Towards Inference of Original Graph Data Information from Graph Embeddings. IJCNN (2023)
Faseela Abdullakutty, Eyad Elyan, Pamela Johnston
Unmasking the Imposters: Task-specific feature learning for face presentation attack detection. IJCNN (2023)
Xiang Zhang, Tao Sun, Chunyan Yang, Zihao Zhang, Xinyan Yin, Mengli Su, Zhibang Quan, Jishu Wei
Rumor Detection Based on Depth and Breadth with Tree-Structured Recursive Neural Networks. IJCNN (2023)
Mohammed Yusuf Ansari, Iffa Afsa Changaai Mangalote, Dima Masri, Sarada Prasad Dakua
Neural Network-based Fast Liver Ultrasound Image Segmentation. IJCNN (2023)
Enmin Zhao, Junliang Xing, Kai Li, Yongxin Kang, Pin Tao
Pseudo Value Network Distillation for High-Performance Exploration. IJCNN (2023)
Sonal Dabral, Brijraj Singh, Naoyuki Onoe
Cd-HRNN: Content-Driven HRNN to Improve Session-Based Recommendation System. IJCNN (2023)
Mingrui Che, Liu Yang, Yuxin Zhang
RCN:Rules-Constrained Network for Autonomous Driving Scene Recognition. IJCNN (2023)
Yunming Liu, Yuxuan Pan, Kaiyue Luo, Yu Liu, Lin Zhang
FEAMNet: Light Field Depth Estimation Network Based On Feature Extraction and Attention Mechanism. IJCNN (2023)
Xiulan Yuan, Xuegang Hu, Pei-Pei Li
Multi-source Multi-label Feature Selection. IJCNN (2023)
Yuantian Xia, Shuhan Lu, Longhe Wang, Lin Li
Learning Rich Detailed Features and Object Relations for Object Detection. IJCNN (2023)
Giovanni Ciaramella, Fabio Martinelli, Francesco Mercaldo, Antonella Santone
Exploring Quantum Machine Learning for Explainable Malware Detection. IJCNN (2023)
Zhaoqian Zhu, Xiang Lin, Gongshen Liu, Bo Su, Tianhe Lu
SCS-VAE: Generate Style Headlines Via Novel Disentanglement. IJCNN (2023)
Michelangelo Diligenti, Francesco Giannini, Stefano Fioravanti, Caterina Graziani, Moreno Falaschi, Giuseppe Marra
Enhancing Embedding Representations of Biomedical Data using Logic Knowledge. IJCNN (2023)
Yasser Khalafaoui, Basarab Matei, Nistor Grozavu, Martino Lovisetto
Joint Multi-View Collaborative Clustering. IJCNN (2023)