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IJCNN 2022: Padua, Italy
- International Joint Conference on Neural Networks, IJCNN 2022, Padua, Italy, July 18-23, 2022. IEEE 2022, ISBN 978-1-7281-8671-9
- Mario T. R. Serra Neto, Inês Dutra, Marco Antônio Florenzano Mollinetti:
Map-Optimize-Learn: Predicting Cardiac Pathology in Children and Teenagers with a Deep Learning Based Tabular Learning Method. 1-8 - Yanchen Li, Qingzhong Ai, Fumihiko Ino:
A One-Shot Reparameterization Method for Reducing the Loss of Tile Pruning on DNNs. 1-8 - Subba Reddy Oota, Archi Yadav, Arpita Dash, Raju S. Bapi, Avinash Sharma:
Multiple GraphHeat Networks for Structural to Functional Brain Mapping. 1-8 - Slawek Smyl, Grzegorz Dudek, Pawel Pelka:
ES-dRNN with Dynamic Attention for Short-Term Load Forecasting. 1-8 - Chenglin Wang, Xiaowei Xu, Zhimin Wei, Wei Zhang, Zhenyu Liu:
LSGC: An Interactive Text Matching Model Combined with Enhanced Encoding. 1-7 - Sourav Ghosh, Dipanjan Das, Abhishek Chakraborty, Marichi Agarwal, Brojeshwar Bhowmick:
Planning Large-scale Object Rearrangement Using Deep Reinforcement Learning. 1-8 - Shaofei Lu, Yajun Zhu, Shen Liu, Jingke She:
A Tool Wear Prediction Model Based on Attention Mechanism and IndRNN. 1-7 - Shangyin Weng, Lei Zhang, Daquan Feng, Chenyuan Feng, Ruiyu Wang, Paulo Valente Klaine, Muhammad Ali Imran:
Privacy-Preserving Federated Learning based on Differential Privacy and Momentum Gradient Descent. 1-6 - Wentao Fu, Jifeng Sun, Yong Jiang:
Stock Selection via Expand-excite Conv Attention Autoencoder and Layer Sparse Attention Transformer: A Classification Approach Inspire Time Series Sequence Recognition. 1-7 - Ling Xiong, Junxiu Liu, Min Su, Shunsheng Zhang, Guopei Wu, Haiping Shu, Bingxiong Jiang:
Covid-19 Diagnosis via Voice Using Online Sequential Extreme Learning Machine. 1-6 - Yanyu Chen, Zhihao Xia, Jian Liu, Chenwei Wu:
TSDet: End-to-End Method with Transformer for SAR Ship Detection. 1-8 - Xu Zhang, Yifeng Li, Xueping Peng, Xinxiao Qiao, Hui Zhang, Wenpeng Lu:
Correlation Encoder-Decoder Model for Text Generation. 1-7 - Yiyi Song, Hongyan Mao, Hongwei Li:
Spatio-Temporal Modeling For Air Quality Prediction Based On Spectral Graph Convolutional Network And Attention Mechanism. 1-9 - Shreyah Iyer, Cornelius Glackin, Nigel Cannings, Vito Veneziano, Yi Sun:
A Comparison Between Convolutional and Transformer Architectures for Speech Emotion Recognition. 1-8 - Yuchen Pan, Yu Hong, Qingting Xu, Jiaxiang Chen, Jianmin Yao:
Aspect Term Extraction via Contrastive Learning over Self-augmented Data. 1-8 - Sohini Roychowdhury:
Semi-supervised and Deep learning Frameworks for Video Classification and Key-frame Identification. 1-8 - Wenya Li, Xiaofei Zhou, Xu Bai, Shirui Pan:
Improving Factual Consistency of Dialogue Summarization with Fact-Augmentation Mechanism. 1-7 - Beiya Dai, Jiangang Qian, Shiqing Cheng, Linbo Qiao, Dongsheng Li:
Event Coreference Resolution based on Convolutional Siamese network and Circle Loss. 1-7 - Haotian Zhang, Wei Wu:
Transformer Gate Attention Model: An Improved Attention Model for Visual Question Answering. 1-7 - Michal Panek, Ireneusz Jablonski, Michal Wozniak:
Automated identification of systematic performance changes in 5G networks by changepoint tracking. 1-8 - Zixuan Zhao, Siyu Yang, Christopher Sauer, Atsushi Teraji, Yasuhiro Yamauchi, Takeshi Hirata, A. J. Bisci, Yi Lu Murphey:
Structured Deep Learning Models for Accurate Prediction of Real-world Driving Speed for Short and Long-term Horizons. 1-8 - Gabriel Faria, Gabriel Henrique de Souza, Heder Bernardino, Luciana Motta, Alex Borges Vieira:
Analyzing Data Augmentation Methods for Convolutional Neural Network-based Brain-Computer Interfaces. 1-8 - Hugo Bertrand, Haytham Elghazel, Sahar Masmoudi, Emmanuel Coquery, Mohand-Saïd Hacid:
Localized Feature Ranking approach for Multi-Target Regression. 1-8 - Yanli Bi, Lizhe Qi, Yunquan Sun:
C2F-CFN: Coarse-to-Fine ClothFlow Network for High-Fidelity Virtual Try-On. 1-8 - Mingfeng Wang, Jing Li, Jun Chang, Donghua Liu, Chenyan Zhang, Xiaosai Huang:
Global Context-Aware Graph Neural Networks for Session-based Recommendation. 1-8 - Yingying Tan, Junli Wang:
Word Order is Considerable: Contextual Position-aware Graph Neural Network for Text Classification. 1-8 - Liancheng Xu, Guangchao Wang, Lei Guo, Xinhua Wang:
Long- and Short-term Attention Network for Knowledge Tracing. 1-9 - Jatin Chauhan, Manohar Kaul:
BERTops: Studying BERT Representations under a Topological Lens. 1-8 - Yanbin Lin, Zhen Ni, Xiangnan Zhong:
Multi-Virtual-Agent Reinforcement Learning for a Stochastic Predator-Prey Grid Environment. 1-8 - Malgorzata Charytanowicz, Piotr A. Kowalski, Szymon Lukasik, Piotr Kulczycki, Henryk Czachor:
Deep Learning for Porous Media Classification Based on Micro-CT Images. 1-8 - Yuexin Xuan, Xiaojun Chen, Zhendong Zhao, Yangyang Ding, Jianming Lv:
ACTSS: Input Detection Defense against Backdoor Attacks via Activation Subset Scanning. 1-8 - Aidong Hou, Shengli Jin, Dietmar Gruber, Harald Harmuth:
Application of Artificial Neural Network to Predict the Thermal and Thermomechanical Behavior of Refractory Linings. 1-6 - Kangkang Chen, Zhongxue Gan, Siyang Leng, Chun Guan:
Deep Reinforcement Learning with Parametric Episodic Memory. 1-7 - Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán:
Sparse Oblique Decision Trees: A Tool to Interpret Natural Language Processing Datasets. 1-8 - Teddy Zaremba, Adham Atyabi:
Cross-Subject & Cross-Dataset Subject Transfer in Motor Imagery BCI systems. 1-8 - Ramya Ramalingam, Nicolas A. Espinosa Dice, Megan L. Kaye, George D. Montañez:
Bounding Generalization Error Through Bias and Capacity. 1-8 - Matthias Kissel, Klaus Diepold:
Convolutional Neural Networks with analytically determined Filters. 1-7 - Mikol Forney, Xuyang Yan, Kishor Datta Gupta, Mahmoud Nabil Mahmoud, Abdollah Homaifar:
Identifying Anomalous Flight Trajectories by leveraging ensembled outlier detection framework. 1-8 - Jing Yang, Qiqi Chen:
A Causal Network Construction Algorithm Based on Partial Rank Correlation on Time Series. 1-8 - Alex Szorkovszky, Frank Veenstra, Kyrre Glette:
Rapid rhythmic entrainment in bio-inspired central pattern generators. 1-7 - Spyridon Samothrakis, Ana Matran-Fernandez, Umar I. Abdullahi, Michael Fairbank, Maria Fasli:
Grokking-like effects in counterfactual inference. 1-8 - Liyan Song, Shuxian Li, Leandro L. Minku, Xin Yao:
A Novel Data Stream Learning Approach to Tackle One-Sided Label Noise From Verification Latency. 1-8 - Charly Alizadeh, Pegah Alizadeh, Miguel F. Anjos, Lucas Létocart, Emiliano Traversi:
How to Learn the Optimal Clique Decompositions in Solving Semidefinite Relaxations for OPF. 1-8 - Keval Doshi, Shatha Abudalou, Yasin Yilmaz:
Reward Once, Penalize Once: Rectifying Time Series Anomaly Detection. 1-8 - Jaime Sevilla, Lennart Heim, Anson Ho, Tamay Besiroglu, Marius Hobbhahn, Pablo Villalobos:
Compute Trends Across Three Eras of Machine Learning. 1-8 - Michele Scarpiniti, Cristiano Mauri, Danilo Comminiello, Aurelio Uncini, Yong-Cheol Lee:
CoVal-SGAN: A Complex-Valued Spectral GAN architecture for the effective audio data augmentation in construction sites. 1-8 - Ahmed Mamdouh, Moumen T. El-Melegy, Samia A. Ali, Ayman S. El-Baz:
Prediction of The Gleason Group of Prostate Cancer from Clinical Biomarkers: Machine and Deep Learning from Tabular Data. 1-8 - Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone:
Early Detection of Parkinson's Disease using Spiral Test and Echo State Networks. 1-8 - Ruyu Qin, Min Huang, Jiawei Liu, Qinghai Miao:
Hybrid Attention-based Transformer for Long-range Document Classification. 1-8 - Wei Peng, Yue Hu, Yuqiang Xie, Luxi Xing, Yajing Sun:
CogIntAc: Modeling the Relationships between Intention, Emotion and Action in Interactive Process from Cognitive Perspective. 1-8 - Satoshi Moriya, Hideaki Yamamoto, Shigeo Sato, Yasushi Yuminaka, Yoshihiko Horio, Jordi Madrenas:
A Fully Analog CMOS Implementation of a Two-variable Spiking Neuron in the Subthreshold Region and its Network Operation. 1-7 - Xianyang Chu, Minghua Zhu, Hongyan Mao, Yunzhou Qiu:
A Feature Fusion Analysis Model of Heterogeneous Data Based on Tensor Decomposition. 1-7 - Patrícia Pereira, Anders Lansner, Pawel Andrzej Herman:
Incremental Attractor Neural Network Modelling of the Lifespan Retrieval Curve. 1-7 - Madeleine Abernot, Thierry Gil, Evgenii Kurylin, Tanguy Hardelin, Alexandre Magueresse, Théophile Gonos, Manuel Jiménez Través, Maria José Avedillo, Aida Todri-Sanial:
Oscillatory Neural Networks for Obstacle Avoidance on Mobile Surveillance Robot E4. 1-8 - Daxing Zhao, Shuai Zhao, Ruiqiang Liu, Qiuman Xu, Bo Cheng:
Long-term Traffic Prediction Using Time-varying Adjacency Mask and Self-Smoothing Regularization. 1-8 - Vahid Saranirad, Shirin Dora, T. M. McGinnity, Damien Coyle:
Assembly-based STDP: A New Learning Rule for Spiking Neural Networks Inspired by Biological Assemblies. 1-7 - Changwu Huang, Zeqi Zhang, Bifei Mao, Xin Yao:
Preventing Undesirable Behaviors of Neural Networks via Evolutionary Constrained Learning. 1-7 - Pei-Chun Chang, Yan-Yu Tien, Chia-Lin Chen, Li-Fen Chen, Yong-Sheng Chen, Hui-Ling Chan:
Facial Image Reconstruction from Functional Magnetic Resonance Imaging via GAN Inversion with Improved Attribute Consistency. 1-8 - Yan Zhou, Haibin Zhou, Nanjun Li, Jianxun Li, Dongli Wang:
Lightweight Self-Attention Network for Semantic Segmentation. 1-8 - Takuro Kida, Yuichi Kida:
Theory of the optimum signal approximation clarifying the importance in the recognition of parallel world and application to secure signal communication with feedback. 1-8 - M. A. Ganaie, Muhammad Tanveer, Ashwani Kumar Malik, Ponnuthurai N. Suganthan:
Minimum Variance Embedded Random Vector Functional Link Network with Privileged Information. 1-8 - Chih-Shuo Tsai, Ying-Hong Chan, Yao-Chung Fan:
Hierarchical Cache Transformer: Dynamic Early Exit for Language Translation. 1-9 - Yunlu Zhang, Keyan Ren, Chun Zhang, Tong Yan:
SG-TCN: Semantic Guidance Temporal Convolutional Network for Action Segmentation. 1-8 - Akhil Meethal, Marco Pedersoli, Zhongwen Zhu, Francisco Perdigon Romero, Eric Granger:
Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes. 1-8 - Pedro Silva, Gladston Moreira, Vander L. S. Freitas, Rodrigo César Pedrosa Silva, David Menotti, Eduardo Luz:
A Decidability-Based Loss Function. 1-8 - Zheng Yuan, Dugang Liu, Weike Pan, Zhong Ming:
SQL-Rank++: A Novel Listwise Approach for Collaborative Ranking with Implicit Feedback. 1-8 - Daniel Theng, Adham Atyabi:
Implication of Subject Transfer in Motor Imagery Brain Computer Interfacing systems. 1-8 - Yaorong Xiao, William Ashbee, Vince D. Calhoun, Sergey M. Plis:
Refacing Defaced MRI with PixelCNN. 1-7 - Canlin Zhang, Chun-Nan Hsu, Yannis Katsis, Ho-Cheol Kim, Yoshiki Vazquez-Baeza:
Theoretical Rule-based Knowledge Graph Reasoning by Connectivity Dependency Discovery. 1-9 - Mathieu Guilbert, Christel Vrain, Thi-Bich-Hanh Dao, Marcilio C. P. de Souto:
Anchored Constrained Clustering Ensemble. 1-8 - Tingyu Xie, Peng Peng, Hongwei Wang, Yusheng Liu:
Open Knowledge Graph Link Prediction with Segmented Embedding. 1-8 - Piotr Przybyla, Piotr Borkowski, Konrad Kaczynski:
Countering Disinformation by Finding Reliable Sources: a Citation-Based Approach. 1-8 - Yunpeng Bai, Chen Gong, Bin Zhang, Guoliang Fan, Xinwen Hou, Yu Lu:
Cooperative Multi-Agent Reinforcement Learning with Hypergraph Convolution. 1-8 - Shuhe Liu, Xiaolin Xu, Yongzheng Zhang, Yipeng Wang:
Autonomous Anti - interference Identification of $\text{IoT}$ Device Traffic based on Convolutional Neural Network. 1-8 - Henry Jin, Marios Mattheakis, Pavlos Protopapas:
Physics-Informed Neural Networks for Quantum Eigenvalue Problems. 1-8 - Yulianti Paula Bria, Chung-Hsing Yeh, Susan E. Bedingfield:
Machine Learning Classifiers for Symptom-Based Malaria Prediction. 1-6 - Yawen Lu, Guoyu Lu:
Self-supervised Depth Estimation from Spectral Consistency and Novel View Synthesis. 1-8 - Shoukang Han, Neng Gao, Xiaobo Guo, Yiwei Shan:
Hierarchical Graph Attention Network with Heterogeneous Tripartite Graph for Numerical Reasoning over Text. 1-7 - Hao Chen, Guangkai Yang, Junge Zhang, Qiyue Yin, Kaiqi Huang:
Multi-Agent Uncertainty Sharing for Cooperative Multi-Agent Reinforcement Learning. 1-8 - Fan Wen, Ming Li, Ruiyang Wang:
Social Transformer: A Pedestrian Trajectory Prediction Method based on Social Feature Processing Using Transformer. 1-7 - Amogh Manoj Joshi, Deepak Ranjan Nayak:
GDenseMNet: Global Dense Multiscale Feature Learning Network for Efficient COVID-19 Detection in CT Images. 1-7 - Wilkie Olin-Ammentorp, Maxim Bazhenov:
Deep Phasor Networks: Connecting Conventional and Spiking Neural Networks. 1-10 - Alperen Görmez, Venkat R. Dasari, Erdem Koyuncu:
E2CM: Early Exit via Class Means for Efficient Supervised and Unsupervised Learning. 1-8 - Nuwan Gunasekara, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet:
Online Hyperparameter Optimization for Streaming Neural Networks. 1-9 - Giovanna Castellano, Corrado Mencar, Gaetano Sette, Francesco Saverio Troccoli, Gennaro Vessio:
Crowd Flow Detection from Drones with Fully Convolutional Networks and Clustering. 1-8 - Nik Khadijah Nik Aznan, John Brennan, Daniel Bell, Jennine Jonczyk, Paul Watson:
On the Complexity of Object Detection on Real-world Public Transportation Images for Social Distancing Measurement. 1-8 - Bruna Rossetto Delazeri, Leonardo León Vera, Jean Paul Barddal, Alessandro L. Koerich, Alceu S. Britto Jr.:
Evaluation of Self-taught Learning-based Representations for Facial Emotion Recognition. 1-8 - Achyut Mani Tripathi, Swarup Ranjan Behera, Konark Paul:
Defensive Bit Planes: Defense Against Adversarial Attacks. 1-8 - Kun Cao, Zongxia Xie:
Uncertainty prediction and calibration using multi-expert gating mechanism. 1-9 - Sravani Yenduri, Vishnu Chalavadi, C. Krishna Mohan:
STIP-GCN: Space-time interest points graph convolutional network for action recognition. 1-8 - Haoze Yang, Kunyao Lan, Jiawei You, Liping Shen:
A simple but practical method: How to improve the usage of entities in the Chinese question generation. 1-8 - Martin Link, Max Schwarz, Sven Behnke:
Predicting Physical Object Properties from Video. 1-7 - Joachim Denker, Vincenzo Iannino, Christian Laudenberg, Alfred Tenner, Mohieddine Jelali, Marvin Daun:
Improved Temperature Monitoring and Control of Production Lines in Casting through BaSyx Framework and Edge Intelligence. 1-8 - Achyut Mani Tripathi, Swarup Ranjan Behera, Konark Paul:
Adv-IFD: Adversarial Attack Datasets for An Intelligent Fault Diagnosis. 1-8 - Corinne G. Allaart, Björn Keyser, Henri E. Bal, Aart van Halteren:
Vertical Split Learning - an exploration of predictive performance in medical and other use cases. 1-8 - Brian S. Robinson, Clare W. Lau, Alexander New, Shane M. Nichols, Erik C. Johnson, Michael Wolmetz, William G. Coon:
Continual learning benefits from multiple sleep stages: NREM, REM, and Synaptic Downscaling. 1-9 - Hongchao Jiang, Chunyan Miao:
Pre-Training 3D Convolutional Neural Networks for Prodromal Alzheimer's Disease Classification. 1-8 - Peter Ford Dominey, Timothy M. Ellmore, Jocelyne Ventre-Dominey:
Effects of Connectivity on Narrative Temporal Processing in Structured Reservoir Computing. 1-8 - Zhuping Hu, Tianqi Gao, Hao Li, Maoguo Gong, Yue Wu, Jieyi Liu, Jiao Shi:
Ternary Change Detection in SAR Images Based on Bi-hierarchical SDAE and Bayesian Optimization. 1-8 - Stephen Lamczyk, Kwame Ampofo, Behrouz Salashour, Mecit Cetin, Khan M. Iftekharuddin:
SURFGenerator: Generative Adversarial Network Modeling for Synthetic Flooding Video Generation. 1-8 - Xiang Xie, Wilhelm Stork:
Large-Scale Spectral Analysis for Element Quantification using Deep Neural Networks. 1-8 - Inês Saraiva, Daniela Moniz, Alexandre Almeida, João M. C. Sousa, Susana M. Vieira:
Intelligent Funds Assistant Exploiting Hierarchical Text Classification Algorithms. 1-7 - Jair Galvão, Tsang Ing Ren, Francisco Madeiro, Emerson A. O. Lima:
Low-discrepancy Sampling for Full Reference Image Quality Assessment Speed Up. 1-8 - Merylin Monaro, Valentina Fietta, Valentina Curró, Giulia Lusetti, Giuseppe Sartori, Nicolò Navarin:
Forged handwriting verification: a public domain dataset for training machine learning models. 1-8 - Zhan Li, Ziyi Zhong, Zhitao Chen, Gengqi Yao, Xi Chen, Weijian Huang:
Edge Guided Learning for Image Super-resolution with Realistic Textures. 1-8 - Qiang Ding, Tianhao Sun, Mingliang Zhou:
Attribute-driven Interest Modeling for Sequential Recommendation. 1-8 - Lujun Li, Shiuan-Ni Liang, Ya Yang, Zhe Jin:
Boosting Online Feature Transfer via Separable Feature Fusion. 1-7 - Tinghui Ouyang, Yoshinao Isobe, Saïma Sultana, Yoshiki Seo, Yutaka Oiwa:
Autonomous driving quality assurance with data uncertainty analysis. 1-7 - Marcello Di Giammarco, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
Explainable Retinopathy Diagnosis and Localisation by means of Class Activation Mapping. 1-8 - Yujie Liu, Xing Wei, Yang Lu, Chong Zhao, Xuanyuan Qiao:
Source Free Domain Adaptation via Combined Discriminative GAN Model for Image Classification. 1-8 - Wuji Zhang, Bin Li, Huabin Zhang, Lei Zhang:
Community and Local Information Preserved Link Prediction in Complex Networks. 1-7 - Arpita Dash, Raju S. Bapi, Dipanjan Roy, P. K. Vinod:
Characterizing the Dynamic Reorganization in Healthy Ageing and Classification of Brain Age. 1-7 - Hanwei Wang, Piji Li, Yanan Cao, Ruipeng Jia, Wang Hai-long, Li Yang-chun:
Decoupled Extractive Summarization as Graph Nodes Pruning. 1-8 - Haotian Zhang, Wei Wu, Meng Zhang:
Multi-Attention Cascade Model Based on Multi-Head Structure for Image-Text Retrieval. 1-7 - Jiyuan Cao, Zhilei Liu, Yong Zhang:
Cross-subject Action Unit Detection with Meta Learning and Transformer-based Relation Modeling. 1-8 - Julen Cestero, Marco Quartulli, Alberto Maria Metelli, Marcello Restelli:
Storehouse: a Reinforcement Learning Environment for Optimizing Warehouse Management. 1-9 - Md. Shahanur Alam, Chris Yakopcic, Tarek M. Taha:
Memristor Based Federated Learning for Network Security on the Edge using Processing in Memory (PIM) Computing. 1-8 - Pramit Dutta, Ganesh Sistu, Senthil Kumar Yogamani, Edgar Galván, John McDonald:
ViT-BEVSeg: A Hierarchical Transformer Network for Monocular Birds-Eye-View Segmentation. 1-7 - Divya Acharya, Guda Ramachandra Kaladhara Sarma, Kameshwar Raovenkatajammalamadaka:
Enhanced EfficientNet Network for Classifying Laparoscopy Videos using Transfer Learning Technique. 1-9