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ORCID34th ICTAI 2022: Macao, China
- Marek Z. Reformat, Du Zhang, Nikolaos G. Bourbakis:
34th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2022, Macao, China, October 31 - November 2, 2022. IEEE 2022, ISBN 979-8-3503-9744-4 - Dangxing Chen:
Two-stage Modeling for Prediction with Confidence. 1-5 - Chengzhang Shi, Chung-Ming Own, Ruimin Zhou:
Federated Grouping Panoptic Segmentation for LiDAR Point Cloud Based on Convolutional Network. 6-13 - Yujie Ding, Wenting Tu, Chuan Qin, Jun Chang:
A grouping-based AdaBoost method for factor investing. 14-19 - Xiaowei Liu, Yuanzhi Yao
, Yuting Ma, Nenghai Yu:
Privacy-preserving Cost-sensitive Federated Learning from Imbalanced Data. 20-27 - Feiming Yang, Yurui Lai, Leshan Wang, Rui Fan:
NCCR: Neighbor and Cluster Consistency Regularization for Improving Graph Node Classification. 28-35 - Haibing Zhao, Weiqin Tong, Xiaoli Zhi, Tong Liu:
A Chunked Local Aggregation Strategy in Federated Learning. 36-41 - Changhua Xu, Kai Yang, Xue Chen, Xiangfeng Luo, Hang Yu:
Transfer Learning for Regression through Adaptive Gaussian Process. 42-47 - Bo Wu, Zhenjie Yao, Yanhui Tu, Yixin Chen:
A Dilated Transformer Network for Time Series Anomaly Detection. 48-52 - Chenliang Zhang, Lingfeng Shi:
Sequential Recommendation with Dual Learning. 53-60 - Yi Fang, Zhi-Jie Chen, Qianwei Zhou, Xiao-Xin Li:
Towards Interpretable Feature Representation for Domain Adaptation Problem. 61-68 - Yuefeng Ma, Mengwei Wang:
Distributed Support Vector Machine Based on Distributed Loss. 69-75 - Minghong Chen, Guanghui Zhang, Wenjun Shi, Dongchen Zhu, Xiaolin Zhang, Jiamao Li:
Dual-Neighborhood Feature Aggregation Network for Point Cloud Semantic Segmentation. 76-81 - Ederson Schmeing, André Luiz Brun, Ronan Assumpção Silva:
Dynamic selection of classifiers based on complexity measures. 82-89 - Yingda Fan, Amrinder Arora:
Attention Constraint Mechanism through Auxiliary Attention. 90-95 - Monowar H. Bhuyan, Juan Carlos Nieves:
Argumentation-Based Adversarial Regression with Multiple Learners. 96-104 - Feng Zhang, Gaocai Wang:
Multi-branch selection fusion fine-grained classification algorithm based on coordinate attention localization. 105-111 - Jiao He, Weihai Lu, Jianjun Yuan:
A Novel Efficient Unclick Behavior Modeling Framework for Click-Through Rate Prediction. 112-121 - Yuyang Xie, Xu Feng, Xizhi Zhang, Jiezhong Qiu, Wenjian Yu:
Approximating Element-Wise Functions of Matrix with Improved Streaming Randomized SVD. 122-130 - Mohamed Jaward Bah, Ji Zhang, Ting Yu, Feng Xia, Zhao Li, Shuigeng Zhou, Hongzhi Wang:
A Generative Adversarial Active Learning Method for Effective Outlier Detection. 131-139 - Rongjiao Liang, Guixian Zhang, Kui Zhang, Zhi Lei, Shichao Zhang:
Bilateral-Branch Network for Imbalanced Visual Regression. 140-147 - Yue Fang, Ming Ye, Feng Chen:
Learning similarity features of point clouds in Euclidean space and feature space. 148-152 - Zhendong Liu, Wenyu Jiang, Yi Zhang, Chongjun Wang:
FIXC: A Method for Data Distribution Shifts Calibration via Feature Importance. 153-160 - Yixin Tang, Hua Cheng, Yiquan Fang, Yiming Pan:
In-Batch Negatives' Enhanced Self-Supervised Learning. 161-166 - Qikai Zhang, Fan Zhang, Samee U. Khan:
Mining Influential Training Data by Tracing Influence on Hard Validation Samples. 167-173 - Héctor D. Menéndez:
Measuring Machine Learning Robustness in front of Static and Dynamic Adversaries. 174-181 - Maha Mallek, Ramzi Guetari, Sébastien Fournier, Wided Lejouad Chaari, Bernard Espinasse:
Context-aware Relation Classification based on Deep Learning. 182-189 - Maxime Fuccellaro, Laurent Simon, Akka Zemmari:
Partially Supervised Classification for Early Concept Drift Detection. 190-196 - Julien Rouzot, Julien Ferry, Marie-José Huguet:
Learning Optimal Fair Scoring Systems for Multi-Class Classification. 197-204 - Stefano Bistarelli, Alessio Mancinelli, Francesco Santini, Carlo Taticchi:
Arg-XAI: a Tool for Explaining Machine Learning Results. 205-212 - Carlos Ramos-Carreño, José Luis Torrecilla, Yujian Hong, Alberto Suárez:
scikit-fda: Computational Tools for Machine Learning with Functional Data. 213-218 - Yifan Chen, Zhan Huang, Minghao Hu, Dongsheng Li, Changjian Wang, Ankun Wang, Boyang Wang, Xicheng Lu:
Similarity-Driven Adaptive Prototypical Network for Class-incremental Few-shot Named Entity Recognition. 219-227 - Denghao Li, Yuqiao Zeng, Jianzong Wang, Lingwei Kong, Zhangcheng Huang, Ning Cheng, Xiaoyang Qu, Jing Xiao:
Blur the Linguistic Boundary: Interpreting Chinese Buddhist Sutra in English via Neural Machine Translation. 228-232 - Ziyuan Wang, Hailiang Huang, Songqiao Han:
IDEA: Interactive Double Attentions from Label Embedding for Text Classification. 233-238 - Dabiao Ma, Zhiba Su, Yitong Zhang, Emily Huang, Meng Li, Qiwen Lyu, Feng Ye:
MHTTS: Fast Multi-head Text-to-speech For Spontaneous Speech With Imperfect Transcription. 239-244 - Wenjin Xie, Siyuan Liu, Xiaomeng Wang, Tao Jia:
Author Name Disambiguation via Heterogeneous Network Embedding from Structural and Semantic Perspectives. 245-250 - Jiaying Zou, Xuechen Zhao, Feng Xie, Bin Zhou, Zhong Zhang, Lei Tian:
Zero-Shot Stance Detection via Sentiment-Stance Contrastive Learning. 251-258 - May Myo Zin, Teeradaj Racharak, Minh Le Nguyen:
Expand-Extract: A Parallel Corpus Mining Framework from Comparable Corpora for English-Myanmar Machine Translation. 259-266 - Guosheng Feng, Danqing Huang, Chin-Yew Lin, Damjan Dakic, Milos Milunovic, Tamara Stankovic, Igor Ilic:
Exploring Heterogeneous Feature Representation for Document Layout Understanding. 267-275 - Xingchen Liu, Tongyang Liu, Qiang Zhang:
DeComa: Dictionary Enhanced Chinese NER Based on Confidence Estimation. 276-281 - Zhicheng Wang, Tianyu Shi, Liyin Xiao, Cong Liu:
Order-sensitive Neural Constituency Parsing. 282-287 - Penglong Huang, Xingwei Zeng, Jinta Weng, Ying Gao, Heyan Huang, Maobin Tang:
SICKNet: A Humor Detection Network Integrating Semantic Incongruity and Commonsense Knowledge. 288-296 - HuaXuan Zhao, Hui Zhao, Lu Hou:
KPE-GCN: A Keyphrase-Enhanced Graph Convolutional Network for Imbalanced Text Classification. 297-302 - Jiaxiang Chen, Yu Hong, Qingting Xu, Jianmin Yao, Guodong Zhou:
Enhancing Neural Aspect Term Extraction Using Part-Of-Speech and Syntactic Dependency Features. 303-310 - GanFeng Yu, Yue Feng Ma, Yang Song:
Network New Word Discovery Framework Based on Sentence Semantic Vector Similarity. 311-316 - Xibo Li, Bowei Zou, Mengxing Dong, Jianmin Yao, Yu Hong:
Concession-First Learning and Coarse-to-Fine Retrieval for Open-Domain Conversational Question Answering. 317-325 - Nathaniel Benham, Siqi Gao, Yiu-Kai Ng:
A Hybrid Approach for Summarizing User Reviews Based on KL-Divergence and Deep Learning. 325-333 - Shiming He, Yu Hong, Zhongqiu Li, Jianmin Yao, Guodong Zhou:
Event Detection with Cross-Sentence Graph Convolutional Networks. 334-341 - Anna Koufakou, Jairo Garciga, Adam Paul, Joseph Morelli, Christopher Frank:
Automatically Classifying Emotions based on Text: A Comparative Exploration of Different Datasets. 342-346 - Yuejia Wu, Jian-Tao Zhou:
EG-KGR: A Knowledge Graph Reasoning Model Based on Enhanced Graph Sample and Aggregate Inductive Learning Algorithm. 347-354 - Lijie Li, Peikai Yuan, Ye Wang, Jiahang Li:
HIAE: Hyper-Relational Interaction Aware Embedding for Link Prediction. 355-360 - Honglin Fang, Peng Yu, Lei Feng, Fanqin Zhou, Wenjing Li, Ying Wang, Mingyu Zhao, Xueqiang Yan, Jianjun Wu:
Knowledge Graph Completion by Multi-Channel Translating Embeddings. 361-365 - Ce Hu, Baisong Liu, Xueyuan Zhang, Zhiye Wang, Chennan Lin, Linze Luo:
A Federated Multi-Server Knowledge Graph Embedding Framework For Link Prediction. 366-371 - Guoguo Ai, Hui Yan, Yuxin Chen:
Discriminative Graph Convolutional Networks for Semi-supervised Node Classification. 372-376 - Long Tan, Zixian Su:
Document-Level Sentiment Knowledge Transfer Network for Aspect Sentiment Triplet Extraction. 377-382 - Teeradaj Racharak:
Doing Analogical Reasoning in Dynamic Assumption-based Argumentation Frameworks. 383-390 - Yuhong Zhang, Haitao Shu, Chenyang Bu, Xuegang Hu:
A Zero-shot Learning Method with a Multi-Modal Knowledge Graph. 391-395 - Min Lu, Yuan Li:
Incorporating the Graph Representation of Video and Text into Video Captioning. 396-401 - Dingyao Chen, Mengzhu Wang, Xiang Zhang, Tianyi Liang, Zhigang Luo:
Implicit Feature Alignment For Knowledge Distillation. 402-408 - Canqun Yang, Weiwen Zhang:
Private and Shared Feature Extractors Based on Hierarchical Neighbor Encoder for Adaptive Few-Shot Knowledge Graph Completion. 409-416 - Dezhi Sun, Man Hu, Fucheng You, Han Xiao:
Hybrid Structure Encoding Graph Neural Networks with Attention Mechanism for Link Prediction. 417-424 - Zhenyuan Yang, Shimeng Xu, Changbo Wang, Gaoqi He:
Skill-Oriented Hierarchical Structure for Deep Knowledge Tracing. 425-432 - Xin Sun, Shuo Zhao, Chaoxu Hou, Jingna Chang:
EDSC: Event Detection with Superior Conceptual Information. 433-440 - Xinzheng Li, Yuhong Zhang, Peipei Li, Xuegang Hu:
Structure Similarity Graph for Cross-Network Node Classification. 441-445 - Meilin Cao, Jiqiong Jiang, Jing Zhang:
Multi-Instance Active Learning for Relation Extraction. 446-450 - Abderrahmane Boukontar, Jean-François Condotta, Yakoub Salhi:
Knowledge Discovery from Qualitative Spatial and Temporal Data. 451-458 - Jingchao Wang, Weimin Li, Yixing Guo, Xiaokang Zhou:
Path-aware Multi-hop Question Answering Over Knowledge Graph Embedding. 459-466 - Xiaonan Zeng, Shuanghong Shen, Zhenya Huang, Enhong Chen, Yu Su, Shijin Wang:
Modeling Offline Knowledge Evolution Effect for Online Knowledge Tracing. 467-475 - Haoyang Ma, Zeyu Li, Hongyu Guo:
Using Noise and External Knowledge to Enhance Chinese Pre-trained Model. 476-480 - Fuyun He, Yan Wei, Youwei Qian:
Morphological Classification of Neurons Based Deep Residual Multiscale Convolutional Neural Network. 481-485 - Luyao Chen, Shaorong Xie, Tao Pang, Hang Yu, Xiangfeng Luo, Zhenyu Zhang:
Learning from Suboptimal Demonstration via Trajectory-Ranked Adversarial Imitation. 486-493 - Yuchen Luo, Zheng Huang, Jie Guo, Weidong Qiu:
GTRNet: a graph-based table reconstructed network. 494-499 - Zujun Dou, Yu Hong, Yu Sun, Xiao Li, Guodong Zhou:
Enhancing Implicit Discourse Relation Classification by Perceiving External Semantics and Convolving Internal Semantics. 500-507 - Dong Wang, Tao Xu, Huatian Zhang, Fanhua Shang, Hongying Liu, Yuanyuan Liu, Shengmei Shen:
PWPROP: A Progressive Weighted Adaptive Method for Training Deep Neural Networks. 508-515 - Haoran Li, Jinhong Zhang, Song Gao, Liwen Wu, Wei Zhou, Ruxin Wang:
Towards Query-limited Adversarial Attacks on Graph Neural Networks. 516-521 - Guoyong Shi, Jungang Liang, Yong Cui:
A Supervised Learning Rule for Recurrent Spiking Neural Networks with Weighted Spikes. 522-527 - Jiayi Yao, Ping Li, Xiatao Kang, Yuzhe Wang:
A Pruning Method Based on the Dissimilarity of Angle Among Channels and Filters. 528-532 - Michele Lazzara, Max Chevalier, Jasone Garay-Garcia, Corentin Lapeyre, Olivier Teste:
Improving Surrogate Model Prediction by Noise Injection into Autoencoder Latent Space. 533-538 - Haodong Meng, Changzhi Chen, Hongyu Yi, Xiaofeng He:
Dual Autoencoder Enhanced Subgraph Pattern Mining for Cognitive Diagnosis. 539-546 - Dejiao Niu, Xudong Wu, Tao Cai, Lei Li, Jie Jiang, Yuhan Chen:
A Stable Spatial Pooling Algorithm for Hierarchical Temporal Memory Network. 547-554 - Minghai Qin, Tianyun Zhang, Fei Sun, Yen-Kuang Chen, Makan Fardad, Yanzhi Wang, Yuan Xie:
Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting. 555-562 - Aggelos Ragkousis, Olga Flogera, Vasileios Megalooikonomou:
MFSE: A Meta-Fusion Model for Polypharmacy Side-Effect Prediction with Graph Neural Networks. 563-570 - Abderaouf N. Amalou, Élisa Fromont, Isabelle Puaut:
CATREEN: Context-Aware Code Timing Estimation with Stacked Recurrent Networks. 571-576 - Chune Li, Yongyi Mao, Richong Zhang:
On Domain Generalization for Batched Prediction: the Benefit of Contextual Adversarial Training. 577-584 - Lucas A. M. De Alcantara, José I. S. Da Silva, Miguel L. P. C. Silva, Saulo C. S. Machado, Tsang Ing Ren:
Convolutional Decoupled cVAE-GANs for Pseudo-Replay Based Continual Learning. 585-590 - Brian Zhang, Shiqing Ma:
Achieving Both Model Accuracy and Robustness by Adversarial Training with Batch Norm Shaping. 591-598 - Jiahou Cheng, Hui Yan:
Contrastive Graph Convolutional Networks with Degree-specific Augmentation. 599-606 - Xiaohang Liu, Jingfei Jiang, Jinwei Xu, Lei Gao:
Evaluating a New Attention Framework Based on Matrix Blocking for Attention Models on FPGAs. 607-615 - Min Yang, Yaochen Li, Su Wang, Shaohan Yang, Hujun Liu:
RITNet: A Rotation Invariant Transformer based Network for Point Cloud Registration. 616-621 - Chen Ouyang, Wei Yang, Rong Hu:
Block-term Dropout For Robust Adversarial Defense. 622-629 - Mingyuan Ma, Hu Li, Xiaohui Kuang:
Detecting Backdoor Attacks on Deep Neural Networks Based on Model Parameters Analysis. 630-637 - Dongkai Liu, Jiaxing Li, Honglong Chen, Baodi Liu, Xiaoping Lu, Weifeng Liu:
EMAS: Efficient Meta Architecture Search for Few-Shot Learning. 638-643 - Kai Huang, Chaolin Pan, Jun Chu, Lu Leng, Jun Miao, Junjiang Wu, Lingfeng Wang:
SiamORPN: Enabling Orthogonality between Object and Background in Siamese Object Tracking. 644-651 - Huijuan Zhao, Shuangjiang He, Li Yu, Congju Du, Jinqiao Xiang:
CDRL: Contrastive Disentangled Representation Learning Scheme for Facial Action Unit Detection. 652-659 - Maregu Assefa, Wei Jiang, Kumie Gedamu, Getinet Yilma, Melese Ayalew, Mohammed Seid:
Actor-Aware Contrastive Learning for Semi-Supervised Action Recognition. 660-665 - Koussaila Moulouel, Mohamed Arbane, Abdelghani Chibani, Ghazaleh Khodabandelou, Yacine Amirat:
Stream Reasoning approach for Anticipating Human Activities in Ambient Intelligence environments. 666-671 - Kangli Zeng, Zhongyuan Wang, Tao Lu, Jianyu Chen:
Video Face Recognition Using Neural Aggregation Networks with Mutual Relational Learning. 672-676 - Zhenting Qi, Ruike Zhu, Zheyu Fu, Wenhao Chai, Volodymyr V. Kindratenko:
Weakly Supervised Two-Stage Training Scheme for Deep Video Fight Detection Model. 677-685 - Bruno Cabado, Bertha Guijarro-Berdiñas, Emilio J. Padrón:
Real-time classification of handball game situations. 686-691 - Sayda Elmi, Morris Bell, Kian-Lee Tan:
Deep-Cogn: Skeleton-based Human Action Recognition for Cognitive Behavior Assessment. 692-699 - Mariusz Oszust, Dawid Warchol:
Time Series Augmentation with Time-Scale Modifications and Piecewise Aggregate Approximation for Human Action Recognition. 700-704 - Qingya Wang, Feng Liu:
A Search Space Utility Optimization Based Online POMDP Planning Algorithm. 705-711 - Jinhua Zheng, Kaixi Yang, Juan Zou, Shengxiang Yang:
Combining State Detection with Knowledge Transfer for Constrained Multi-objective Optimization. 712-719 - Chaojing Yao:
Learning an Interpretable Learning Rate Schedule via the Option Framework. 720-727 - Jan Krummenauer, Nesrine Kammoun, Benedikt Stein, Juergen Goetze:
Impact of Categorical Variable Encodings on Bayesian Optimization Performance. 728-733 - Maxence Grand, Damien Pellier, Humbert Fiorino:
An Accurate PDDL Domain Learning Algorithm from Partial and Noisy Observations. 734-738 - Redha Taguelmimt, Samir Aknine, Djamila Boukredera, Narayan Changder:
PICS: Parallel Index-based Search Algorithm for Coalition Structure Generation. 739-746 - Rebh Soltani, Emna Benmohamed, Hela Ltifi:
Optimized Echo State Network based on PSO and Gradient Descent for Choatic Time Series Prediction. 747-754 - Darko Radakovic, Anuradha Singh, Aparna S. Varde, Pankaj Lal:
Enriching Smart Cities by Optimizing Electric Vehicle Ride-Sharing through Game Theory. 755-759 - Michal Karpinski, Marek Piotrów:
Reusing Comparator Networks in Pseudo-Boolean Encodings. 760-765 - Li Zeng, Mohammad Al-Rifai, Michael Nolting, Wolfgang Nejdl:
Towards building reliable deep learning based driver identification systems. 766-773 - Yuxin Chen, Hua Yuan, Shoubin Dong, Jinbo Peng:
Vehicle Damage Detection based on MD R-CNN. 774-779 - Junan Huang, Zhiqiu Huang, Guohua Shen, Heng Xu, Gaoyang Hua:
SIA-Net: Scalable Interaction-Aware Network for Vehicle Trajectory Prediction Based on Self-Attention. 780-787 - Liang Xie, Menghao Hu, Xinbei Bai:
Online Improved Vehicle Tracking Accuracy via Unsupervised Route Generation. 788-792 - Yanli Shi, Xiaofei Zhang, Xiaojun Tan:
Local-guided Global Collaborative Learning Transformer for Vehicle Reidentification. 793-798 - Chen Chen, Zhihan Zuo, Yuchun Fang, Yilu Cao, Yaofang Zhang:
Correlation Enhancement with Graph Convolutional Network for Pedestrian Attribute Recognition. 799-803 - Chenchen Qiao, Fei Shen, Xuejun Wang, Ruixin Wang, Fang Cao, Sixian Zhao, Chang Li:
A Novel Multi-Frequency Coordinated Module for SAR Ship Detection. 804-811