Knowledge Science, Engineering and Management: 13th International Conference, KSEM 2020, Hangzhou, China, August 28–30, 2020, Proceedings, Part I

s of Invited Talks Learning from Source Code

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[2]  Yizhou Sun,et al.  Mining heterogeneous information networks: a structural analysis approach , 2013, SKDD.

[3]  Fuzhen Zhuang,et al.  Fast Time Series Classification Based on Infrequent Shapelets , 2012, 2012 11th International Conference on Machine Learning and Applications.

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[5]  Jun Zhao,et al.  Knowledge Graph Embedding via Dynamic Mapping Matrix , 2015, ACL.

[6]  Yuqing Wan,et al.  Effect of segmentation on financial time series pattern matching , 2016, Appl. Soft Comput..

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[12]  James Cheng,et al.  A Representation Learning Framework for Property Graphs , 2019, KDD.

[13]  Yi-Ling Chen,et al.  Automatic Detection of Hate Speech on Facebook Using Sentiment and Emotion Analysis , 2019, 2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC).

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[15]  Changming Sun,et al.  RA-UNet: A Hybrid Deep Attention-Aware Network to Extract Liver and Tumor in CT Scans , 2018, Frontiers in Bioengineering and Biotechnology.

[16]  Xiaojie Yuan,et al.  Accelerating Time Series Shapelets Discovery with Key Points , 2016, APWeb.

[17]  Xiangnan He,et al.  NAIS: Neural Attentive Item Similarity Model for Recommendation , 2018, IEEE Transactions on Knowledge and Data Engineering.

[18]  Jie Liu,et al.  Question Answering over Freebase via Attentive RNN with Similarity Matrix based CNN , 2018, ArXiv.

[19]  Peter A. Boncz,et al.  An early look at the LDBC social network benchmark's business intelligence workload , 2018, GRADES/NDA@SIGMOD/PODS.

[20]  Jiliang Tang,et al.  Say What I Want: Towards the Dark Side of Neural Dialogue Models , 2019, ArXiv.

[21]  Julian A. Oldmeadow,et al.  The Effects of Boredom, Loneliness, and Distress Tolerance on Problem Internet Use Among University Students , 2016, International Journal of Mental Health and Addiction.

[22]  Dongyan Zhao,et al.  Scale Up Event Extraction Learning via Automatic Training Data Generation , 2017, AAAI.

[23]  Georgios Louloudis,et al.  An Alternative Deep Feature Approach to Line Level Keyword Spotting , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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[25]  Muhammad Tanveer.  Robust and Sparse Linear Programming Twin Support Vector Machines , 2014, Cognitive Computation.

[26]  Xuemin Lin,et al.  PatMat: A Distributed Pattern Matching Engine with Cypher , 2019, CIKM.

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[28]  James Allen,et al.  Tackling the Story Ending Biases in The Story Cloze Test , 2018, ACL.

[29]  Xiaoyong Du,et al.  Which Category Is Better: Benchmarking the RDBMSs and GDBMSs , 2019, APWeb/WAIM.

[30]  Luis Herranz,et al.  Scene Recognition with CNNs: Objects, Scales and Dataset Bias , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[31]  Danai Koutra,et al.  Graph based anomaly detection and description: a survey , 2014, Data Mining and Knowledge Discovery.

[32]  Daniel B. Neill,et al.  Non-parametric scan statistics for event detection and forecasting in heterogeneous social media graphs , 2014, KDD.

[33]  Alberto Montresor,et al.  gat2vec: representation learning for attributed graphs , 2018, Computing.

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[36]  Jeremy Chen,et al.  Graphflow: An Active Graph Database , 2017, SIGMOD Conference.

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[42]  Helen Yannakoudakis,et al.  Author Profiling for Abuse Detection , 2018, COLING.

[43]  Jason Weston,et al.  Translating Embeddings for Modeling Multi-relational Data , 2013, NIPS.

[44]  Qiongkai Xu,et al.  GraRep: Learning Graph Representations with Global Structural Information , 2015, CIKM.

[45]  Jun Zhao,et al.  Recurrent Convolutional Neural Networks for Text Classification , 2015, AAAI.

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[50]  Snehashis Roy,et al.  Automated anatomical labeling of the cerebral arteries using belief propagation , 2013, Medical Imaging.

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[53]  Ashish Gupta,et al.  An Early Classification Approach for Multivariate Time Series of On-Vehicle Sensors in Transportation , 2020, IEEE Transactions on Intelligent Transportation Systems.

[54]  Lifu Tu,et al.  Pay Attention to the Ending:Strong Neural Baselines for the ROC Story Cloze Task , 2017, ACL.

[55]  Guillaume Bouchard,et al.  Complex Embeddings for Simple Link Prediction , 2016, ICML.

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[61]  Huanbo Luan,et al.  Modeling Relation Paths for Representation Learning of Knowledge Bases , 2015, EMNLP.

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[72]  Tomoaki Ohtsuki,et al.  Hate Speech on Twitter: A Pragmatic Approach to Collect Hateful and Offensive Expressions and Perform Hate Speech Detection , 2018, IEEE Access.

[73]  Zhiyuan Liu,et al.  Learning Entity and Relation Embeddings for Knowledge Graph Completion , 2015, AAAI.

[74]  Tak-Chung Fu,et al.  Stock time series pattern matching: Template-based vs. rule-based approaches , 2007, Eng. Appl. Artif. Intell..

[75]  Yaojie Lu,et al.  Cost-sensitive Regularization for Label Confusion-aware Event Detection , 2019, ACL.

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[80]  Xueqing Li,et al.  A Novel Multi-resolution Representation for Streaming Time Series , 2017, IIKI.

[81]  Reshma Khemchandani,et al.  Twin Support Vector Machines for Pattern Classification , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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[83]  In-So Kweon,et al.  Multi-scale pyramid pooling for deep convolutional representation , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

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[86]  Khaled Almgren,et al.  A hybrid framework to predict influential users on social networks , 2015, 2015 Tenth International Conference on Digital Information Management (ICDIM).

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[88]  Dongyan Zhao,et al.  Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling , 2015, EMNLP.

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[98]  Thien Huu Nguyen,et al.  Similar but not the Same: Word Sense Disambiguation Improves Event Detection via Neural Representation Matching , 2018, EMNLP.

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[105]  Wei Hu,et al.  Bootstrapping Entity Alignment with Knowledge Graph Embedding , 2018, IJCAI.

[106]  James P. Callan,et al.  Explicit Semantic Ranking for Academic Search via Knowledge Graph Embedding , 2017, WWW.

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[108]  Jure Leskovec,et al.  Local Higher-Order Graph Clustering , 2017, KDD.

[109]  George Karypis,et al.  Domain-Aware Grade Prediction and Top-n Course Recommendation , 2016, RecSys.

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[130]  Nanyun Peng,et al.  Cross-Sentence N-ary Relation Extraction with Graph LSTMs , 2017, TACL.

[131]  Yuan Qi,et al.  Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism , 2019, AAAI.

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[134]  He Chen,et al.  Scalable Rumor Source Detection under Independent Cascade Model in Online Social Networks , 2015, 2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN).

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[138]  Rafael Pino-Mejías,et al.  Credit scoring models for the microfinance industry using neural networks: Evidence from Peru , 2013, Expert Syst. Appl..

[139]  Xiao-Jun Wu,et al.  Locality preserving projection least squares twin support vector machine for pattern classification , 2018, Pattern Analysis and Applications.

[140]  Weijun Wang,et al.  A Bibliometric Analysis of Social Media Research from the Perspective of Library and Information Science , 2014, I3E.

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[143]  Sebastian Ramos,et al.  The Cityscapes Dataset for Semantic Urban Scene Understanding , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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[204]  Panos Kalnis,et al.  A Survey and Experimental Comparison of Distributed SPARQL Engines for Very Large RDF Data , 2017, Proc. VLDB Endow..

[205]  Hongyu Liu,et al.  CNN and RNN based payload classification methods for attack detection , 2019, Knowl. Based Syst..

[206]  Yulan He,et al.  Approaches to Automated Detection of Cyberbullying: A Survey , 2020, IEEE Transactions on Affective Computing.

[207]  Yizhou Sun,et al.  Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification , 2016, WSDM.

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[212]  George Karypis,et al.  FISM: factored item similarity models for top-N recommender systems , 2013, KDD.

[213]  Kaiming He,et al.  Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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[216]  Hongnian Yu,et al.  Assistive technology for people with dementia: an overview and bibliometric study , 2017, Health information and libraries journal.

[217]  Jimeng Sun,et al.  Fast Random Walk Graph Kernel , 2012, SDM.

[218]  Qiang Li,et al.  High-performance technique for satellite range scheduling , 2017, Comput. Oper. Res..

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