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ORCIDICKG 2022: Orlando, FL, USA
- Peipei Li, Kui Yu, Nitesh V. Chawla, Ronen Feldman, Qing Li, Xindong Wu:
IEEE International Conference on Knowledge Graph, ICKG 2022, Orlando, FL, USA, November 30 - Dec. 1, 2022. IEEE 2022, ISBN 978-1-6654-5101-7 - Franklin Abodo, Phillip Marvin, Joanna Brown:
Graph Reachability Pruning: Adaptive Data Reduction for Inexact Subgraph Matching. 1-5 - Soji Adeshina, Jian Zhang, Muhyun Kim, Min Chen, Rizal Fathony, Advitiya Vashisht, Jia Chen, George Karypis:
PropInit: Scalable Inductive Initialization for Heterogeneous Graph Neural Networks. 6-13 - Alexander Becker, Thomas Liebig
:
Certified Data Removal in Sum-Product Networks. 14-21 - Assma Boughoula, Kevin Ros, ChengXiang Zhai:
An Optimization Approach to Automatic Construction of Browsable Concept Index for Organizing Online Educational Content. 22-31 - Tsai Hor Chan, Chi Ho Wong, Jiajun Shen, Guosheng Yin:
SUMSHINE: Scalable Unsupervised Multi-Source Heterogeneous Information Network Embeddings. 32-39 - Audrey Der, Chin-Chia Michael Yeh, Renjie Wu, Junpeng Wang, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh:
Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series. 40-47 - Amit Dhurandhar, Tejaswini Pedapati:
Multihop: Leveraging Complex Models to Learn Accurate Simple Models. 48-55 - Tracey Etheridge, Guang Lu, Janna Lipenkova:
Distilling Business Value from COVID - 19 Public Media Dataset with Machine Learning and Natural Language Processing. 56-63 - Yuhang Ge, Xuegang Hu:
Enhancing Graph Variational Autoencoder for Short Text Topic Modeling with Mutual Information Maximization. 64-70 - Fausto Giunchiglia, Vincenzo Maltese, Amarsanaa Ganbold, Alessio Zamboni:
An Architecture and a Methodology Enabling Interoperability within and across Universities. 71-78 - Ahmed Abdeen Hamed, Jakub Jonczyk, Mohammad Zaiyan Alam, Ewa Deelman, Byung Suk Lee:
Mining Literature-Based Knowledge Graph for Predicting Combination Therapeutics: A COVID-19 Use Case. 79-86 - Minseok Han, Jong-Seok Lee:
Clustering by peak merging. 87-96 - Shengmin Jin, Rui Ma, Jiayu Li, Sara Eftekharnejad, Reza Zafarani:
A Spectral Measure for Network Robustness: Assessment, Design, and Evolution. 97-104 - Anowarul Kabir, Amarda Shehu:
Sequence-Structure Embeddings via Protein Language Models Improve on Prediction Tasks. 105-112 - Md. Rayhanul Kabir, Samridhi Vaid, Nitakshi Sood, Osmar R. Zaïane:
Deep Associative Classifier. 113-122 - Irene Kilanioti, George Angelos Papadopoulos:
An Efficient Storage Scheme for Sustainable Development Goals Data Over Distributed Knowledge Graph Stores. 123-130 - Giorgi Kvernadze, Putu Ayu G. Sudyanti, Nishan Subedi, Mohammad Hajiaghayi:
Two is Better Than One: Dual Embeddings for Complementary Product Recommendations. 131-140 - Meiling Li, Hezi Liu, Bin Wu, Ting Bai:
Language Style Matters: Personality Prediction from Textual Styles Learning. 141-148 - Yan Li, Jin Liu, Yingchun Guo, Jing Liu, Youxi Wu:
AOP-Miner: Approximate Order-Preserving Pattern Mining for Time Series. 149-156 - Zhiyuan Li, Zhou Jin, Rujing Wang, Jie Ji, Haiyan Liu:
A Generative Adversarial Net Assisted Method for User Intention Recognition on Imbalanced Dataset. 157-163 - Pedro de M. Ligabue, Anarosa Alves Franco Brandão, Sarajane Marques Peres, Fábio Gagliardi Cozman, Paulo Pirozelli:
BlabKG: a Knowledge Graph for the Blue Amazon. 164-171 - Xingtao Lin, Xiaogen Zhou, Tong Tong, Xingqing Nie, Luoyan Wang, Zhiqiang Li:
BSG-Net: A Blind Super-resolution Guided Network for Improving Ultrasound Image Segmentation. 172-179 - Georgios Mavroudeas, Malik Magdon-Ismail, Xiao Shou, Kristin P. Bennett:
HMM-Boost: Improved Time Series State Prediction Via Supervised Hidden Markov Models: Case Studies in Epileptic Seizure and Complex Care Management. 180-187 - Morteza Mohammady Gharasuie, Fenjiao Wang:
Progressive Feature Upgrade in Semi-supervised Learning on Tabular Domain. 188-195 - Carina Newen, Emmanuel Müller:
Unsupervised DeepView: Global Explainability of Uncertainties for High Dimensional Data. 196-202 - Anahita Pakiman, Jochen Garcke:
Graph Modeling in Computer Assisted Automotive Development. 203-210 - Qizheng Pan, Ming Yan, Guoqi Li, Jianmin Li, Ying Ma:
Self-Knowledge Distillation from Target-Embedding AutoEncoder for Multi-Label Classification. 210-216 - Wen Qin, Xin Luo:
An Asynchronously Alternative Stochastic Gradient Descent Algorithm for Efficiently Parallel Latent Feature Analysis on Shared-Memory. 217-224 - Hoon Seo, Lodewijk Brand, Lucia Saldana Barco, Hua Wang:
Scalable Multi-Instance Multi-Shape Support Vector Machine for Whole Slide Breast Histopathology. 225-232 - Akshay Shah, Bonaventure C. Molokwu, Ziad Kobti:
HTransE: Hybrid Translation-based Embedding for Knowledge Graphs. 233-240 - Chenchen Sun, Xingrui Zhuo, Zhenya Lu, Chenyang Bu, Gongqing Wu:
Deep Semantic-Enhanced Event Detection via Symmetric Graph Convolutional Network. 241-248 - Ruijun Sun, Zhi Li, Qi Liu, Zhefeng Wang, Xinyu Duan, Baoxing Huai, Nicholas Jing Yuan:
Multi-Sentence Matching via Exploiting List-level Semantics Expansion. 249-256 - Nianshang Tian, Ming Wu, Jiqiong Jiang, Jing Zhang:
Learning from Crowds with Mutual Correction-Based Co-Training. 257-264 - Colin Troisemaine, Joachim Flocon-Cholet, Stéphane Gosselin, Sandrine Vaton, Alexandre Reiffers-Masson, Vincent Lemaire:
A Method for Discovering Novel Classes in Tabular Data. 265-274 - Cihan Ulus, Zhiqiang Wang, Sheikh M. A. Iqbal, K. Md. Salman Khan, Xingquan Zhu:
Transfer Naïve Bayes Learning using Augmentation and Stacking for SMS Spam Detection. 275-282 - Yijun Wang, Kaibo Xu:
Multi-Kernel-FM: A Multi-Embedding & Kernelization Factorization Machine Framework for CTR Prediction. 283-288 - Yu Wang, Vijay Srinivasan, Hongxia Jin:
A Robust Semantic Frame Parsing Pipeline on a New Complex Twitter Dataset. 289-296 - Yu Wang, Vijay Srinivasan, Hongxia Jin:
A New Design of VQA System based on Weighted Contextual Features. 297-304 - Gongqing Wu, Zhenya Lu, Zhuochun Miao, Xingrui Zhuo, Zan Zhang:
Label Enhanced Event Detection with Collective Knowledge and Heterogeneous Graph. 305-312 - Nannan Wu, Ning Zhang, Qingcheng Lu, Jie Zhang, Wenjun Wang, Ying Sun, Siddharth Bhatia:
Multiple Anomaly Alignments on Network Traffics. 313-320 - Xindong Wu, Hao Chen, Chenyang Bu, Shengwei Ji, Zan Zhang, Victor S. Sheng:
HUSS: A Heuristic Method for Understanding the Semantic Structure of Spreadsheets. 329-336 - Haotian Xia, Rhys Tracy, Yun Zhao, Erwan Fraisse, Yuan-Fang Wang, Linda R. Petzold:
VREN: Volleyball Rally Dataset with Expression Notation Language. 337-346 - Xiaohu Xie, Reza Madankan, Kairui Wu:
Inference Calibration of Neural Network Models. 347-354 - Koichiro Yawata, Yoshihiro Osakabe, Takuya Okuyama, Akinori Asahara:
QUBO Decision Tree: Annealing Machine Extends Decision Tree Splitting. 355-364 - Hyung-Jin Yoon, Petros G. Voulgaris:
Multi-time Predictions of Wildfire Grid Map using Remote Sensing Local Data. 365-372 - Jiaming Zhang, Hong Yu:
Hierarchy-Aware Temporal Knowledge Graph Embedding. 373-380 - Minghan Zhang, Fei Xie, Fuliang Weng:
Weighted Transformer for Dialect Speech Recognition. 381-385 - Xuexue Zang, Fei Xie, Fuliang Weng:
Foreign Accent Conversion using Concentrated Attention. 386-391 - Zhenyu Zhang, Zhao Li, Dongyang Cai, Shuming Feng, Jiawei Miao, Yirun Guan, Haicheng Tao, Jie Cao:
Time Series Anomaly Detection for Smart Grids via Multiple Self-Supervised Tasks Learning. 392-397
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