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LTLf Satisfiability Checking via Formula Progression (S). SEKE 2023: 357-362 - Carlos Eduardo Pantoja
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A Model-Driven Development Framework for Geographical and Relational Database Systems. SEKE 2023: 70-75 - Senjun Pei, Weidong Liu:
Convolution Neural Network Based Patent Infringement Detection Method. SEKE 2023: 14-19 - Yimin Peng, Rong Hu, Yiping Wen:
AT-NCF: An Attention-based Time-aware Neural Collaborative Filtering Approach for Personalized Recommendation (S). SEKE 2023: 604-607 - Fengyong Peng, Xi Wu, Yongxin Zhao, Yongjian Li:
Anaphora Ambiguity Detection Method Based on Cross-domain Pronoun Substitution (S). SEKE 2023: 646-649 - Qing Qi, Jian Cao:
GAT-Team: A Team Recommendation Model for Open-Source Software Projects. SEKE 2023: 286-291 - Chen Qian, Hui Xiong, Jiyun Li:
FeDeFo: A Personalized Federated Deep Forest Framework for Alzheimer's Disease Diagnosis. SEKE 2023: 572-577 - Chen Qian, Boyin Yang, Jiyun Li:
SARNet: A Self-Attention Embedded Residual Network for Multiclass Classification of Chronic Wounds (S). SEKE 2023: 600-603 - Shaojian Qiu, Shaosheng Wang, Yujun Liang, Wenchao Jiang, Fanlong Zhang:
Code Clone Detection via Software Visualization Representation Learning. SEKE 2023: 268-273 - Puhui Qu, Keyu Chen, En Cheng:
YOLOv7-marine: An Improved YOLOv7 Model for Object Detection in Marine Environments (S). SEKE 2023: 675-678 - Yaodanjun Ren, Chen Chen, Zhengwei Qi:
HaeNAS: Hardware-Aware Efficient Neural Architecture Search via Zero-Cost Proxy. SEKE 2023: 505-510 - Zhiyong Ren, Hui Xu:
Detect Stack Overflow Bugs in Rust via Improved Fuzzing Technique. SEKE 2023: 175-180 - Yiheng Shen, Xiaolin Ju, Xiang Chen, Guang Yang:
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DeepMultiple: A Deep Learning Model for RFID-based Multi-object Activity Recognition. SEKE 2023: 518-523 - Ryo Soga, Hideyuki Kanuka, Takatomi Kubo, Takashi Ishio, Kenichi Matsumoto:
Will you use software development support using biosignals? A survey from software developers. SEKE 2023: 31-36 - Georg Stettinger, Franz Wotawa:
Smart Monitoring for Safety-Assurance in Autonomous Driving (S). SEKE 2023: 542-547 - Wen Sun, Yifan Li, Junfeng Yao, Qingqiang Wu, Kunhong Liu:
Combining Structure Embedding and Text Semantics for Efficient Knowledge Graph Completion. SEKE 2023: 317-322 - Liang Sun, Peng Wu, Shaoxian Shu:
Research on Directed Grey-box Fuzzing Technology Based on Target (S). SEKE 2023: 256-261 - Kazusa Takemoto, Shingo Takada:
Applying Symbolic Execution to Semantic Code Clone Detection (S). SEKE 2023: 118-122 - Xi Tao, Hao Wang, Xiangfeng Luo, Pinpin Zhu:
Few-Shot Link Prediction using Variational Heterogeneous Attention Networks. SEKE 2023: 660-665 - Omkarendra Tiwari, Vrinda Yadav:
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Understanding the Pre-Contract Process of Small Software Projects. SEKE 2023: 146-151 - Shouhong Wan, Rui Wang, Peiquan Jin, Xuebin Yang:
BDC-FR: Faster R-CNN with Balanced Domain Classifier for Cross-Domain Object Detection (S). SEKE 2023: 697-700 - Mengyuan Wang, Tengfei Li, Jing Liu, Hui Dou, HongTao Chen, John Zhang, Lipeng Zhang:
Modeling and Verification of Autonomous Driving Systems under Stochastic Spatio-Temporal Constraints. SEKE 2023: 373-378 - Yifan Wang, Masaki Nakamura, Kazutoshi Sakakibara, Yuki Okura:
Formal Specification and Verification of an Autonomous Vehicle Control System by the OTS/CafeOBJ method (S). SEKE 2023: 363-366 - Aoxing Wang, Pengfei Duan, Yongbing Li, Wenyan Hu, Shengwu Xiong:
LMGFuse: Language Models and Graph reasoning Fuse deeply for question answering. SEKE 2023: 615-620 - Yulong Wang, Kai Deng, Fanzhi Meng, Zhi Chen, Mingyong Yin, Run Yang:
Branchy-TEE: Deep Learning Security Inference Acceleration Using Trusted Execution Environment. SEKE 2023: 499-504 - Jingjing Wang, Minhuan Huang, Yuanping Nie, Xiaohui Kuang, Xiang Li, Wenjing Zhong:
Fine-Grained Source Code Vulnerability Detection via Graph Neural Networks (S). SEKE 2023: 222-227 - Xingang Wang, Xiaomin Li, Xiaoyu Liu:
Reinforced Multi-modal Circulant Fusion based Transformers for Rumor Detection (S). SEKE 2023: 627-631 - Yifan Wang, Jibin Wang, Jing Shang, Zhuo Chen, Xuelian Ding, Heyuan Wang:
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