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ACM Transactions on Intelligent Systems and Technology, Volume 10
Volume 10, Number 1, January 2019
- Nan Cao, Steffen Koch, David Gotz, Yingcai Wu:
ACM TIST Special Issue on Visual Analytics. 1:1-1:4 - Wei Chen, Jing Xia, Xu-Meng Wang, Yi Wang, Jun Chen, Liang Chang:
RelationLines: Visual Reasoning of Egocentric Relations from Heterogeneous Urban Data. 2:1-2:21 - Mingliang Xu, Hua Wang, Shili Chu, Yong Gan, Xiaoheng Jiang, Yafei Li, Bing Zhou:
Traffic Simulation and Visual Verification in Smog. 3:1-3:17 - Cong Xie, Wen Zhong, Wei Xu, Klaus Mueller:
Visual Analytics of Heterogeneous Data Using Hypergraph Learning. 4:1-4:26 - Athanasios Vogogias, Jessie Kennedy, Daniel Archambault, Benjamin Bach, V. Anne Smith, Hannah Currant:
BayesPiles: Visualisation Support for Bayesian Network Structure Learning. 5:1-5:23 - Dongyu Liu, Weiwei Cui, Kai Jin, Yuxiao Guo, Huamin Qu:
DeepTracker: Visualizing the Training Process of Convolutional Neural Networks. 6:1-6:25 - Hai Jin, Yuanfeng Lian, Jing Hua:
Learning Facial Expressions with 3D Mesh Convolutional Neural Network. 7:1-7:22 - Chen Zhang, Hao Wang:
ResumeVis: A Visual Analytics System to Discover Semantic Information in Semi-structured Resume Data. 8:1-8:25 - Fan Du, Catherine Plaisant, Neil Spring, Ben Shneiderman:
Visual Interfaces for Recommendation Systems: Finding Similar and Dissimilar Peers. 9:1-9:23 - Haoran Liang, Ming Jiang, Ronghua Liang, Qi Zhao:
CapVis: Toward Better Understanding of Visual-Verbal Saliency Consistency. 10:1-10:23 - Siming Chen, Shuai Chen, Zhenhuang Wang, Jie Liang, Yadong Wu, Xiaoru Yuan:
D-Map+: Interactive Visual Analysis and Exploration of Ego-centric and Event-centric Information Diffusion Patterns in Social Media. 11:1-11:26
Volume 10, Number 2, February 2019
- Qiang Yang, Yang Liu, Tianjian Chen, Yongxin Tong:
Federated Machine Learning: Concept and Applications. 12:1-12:19 - Wei Wang, Vincent W. Zheng, Han Yu, Chunyan Miao:
A Survey of Zero-Shot Learning: Settings, Methods, and Applications. 13:1-13:37
- Reuth Mirsky, Kobi Gal, Roni Stern, Meir Kalech:
Goal and Plan Recognition Design for Plan Libraries. 14:1-14:23 - Oskar Skibski, Talal Rahwan, Tomasz P. Michalak, Michael J. Wooldridge:
Enumerating Connected Subgraphs and Computing the Myerson and Shapley Values in Graph-Restricted Games. 15:1-15:25 - Jason Shuo Zhang, Qin Lv:
Understanding Event Organization at Scale in Event-Based Social Networks. 16:1-16:23 - Hsun-Ping Hsieh, Cheng-Te Li:
Inferring Online Social Ties from Offline Geographical Activities. 17:1-17:21 - Zeng Yu, Tianrui Li, Ning Yu, Yi Pan, Hongmei Chen, Bing Liu:
Reconstruction of Hidden Representation for Robust Feature Extraction. 18:1-18:24 - Hongjian Wang, Xianfeng Tang, Yu-Hsuan Kuo, Daniel Kifer, Zhenhui Li:
A Simple Baseline for Travel Time Estimation using Large-scale Trip Data. 19:1-19:22 - Cheng Deng, Zhao Li, Xinbo Gao, Dacheng Tao:
Deep Multi-scale Discriminative Networks for Double JPEG Compression Forensics. 20:1-20:20
Volume 10, Number 3, May 2019
- Karishma Sharma, Feng Qian, He Jiang, Natali Ruchansky, Ming Zhang, Yan Liu:
Combating Fake News: A Survey on Identification and Mitigation Techniques. 21:1-21:42
- Zun Li, Congyan Lang, Jiashi Feng, Yidong Li, Tao Wang, Songhe Feng:
Co-saliency Detection with Graph Matching. 22:1-22:22
- Ankita Likhyani, Srikanta Bedathur, P. Deepak:
Location-Specific Influence Quantification in Location-Based Social Networks. 23:1-23:28 - Huaxiu Yao, Defu Lian, Yi Cao, Yifan Wu, Tao Zhou:
Predicting Academic Performance for College Students: A Campus Behavior Perspective. 24:1-24:21 - Bailin Yang, Luhong Zhang, Frederick W. B. Li, Xiaoheng Jiang, Zhigang Deng, Meng Wang, Mingliang Xu:
Motion-Aware Compression and Transmission of Mesh Animation Sequences. 25:1-25:21 - Hanrui Wu, Yuguang Yan, Yuzhong Ye, Huaqing Min, Michael K. Ng, Qingyao Wu:
Online Heterogeneous Transfer Learning by Knowledge Transition. 26:1-26:19 - Neng Shi, Yubo Tao:
CNNs Based Viewpoint Estimation for Volume Visualization. 27:1-27:22 - Joseph W. Mikhail, John M. Fossaceca, Ronald Iammartino:
A Semi-Boosted Nested Model With Sensitivity-Based Weighted Binarization for Multi-Domain Network Intrusion Detection. 28:1-28:27 - Jianping Gou, Wenmo Qiu, Zhang Yi, Yong Xu, Qirong Mao, Yongzhao Zhan:
A Local Mean Representation-based K-Nearest Neighbor Classifier. 29:1-29:25 - Hankz Hankui Zhuo:
Recognizing Multi-Agent Plans When Action Models and Team Plans Are Both Incomplete. 30:1-30:24 - Fatemeh Golpayegani, Ivana Dusparic, Siobhán Clarke:
Using Social Dependence to Enable Neighbourly Behaviour in Open Multi-Agent Systems. 31:1-31:31 - Chunbiao Zhu, Wenhao Zhang, Thomas H. Li, Shan Liu, Ge Li:
Exploiting the Value of the Center-dark Channel Prior for Salient Object Detection. 32:1-32:20
Volume 10, Number 4, August 2019
- Jiang Bian, Dayong Tian, Yuanyan Tang, Dacheng Tao:
Trajectory Data Classification: A Review. 33:1-33:34 - Ilya Verenich, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Irene Teinemaa:
Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring. 34:1-34:34
- Chen Gong, Jian Yang, Dacheng Tao:
Multi-Modal Curriculum Learning over Graphs. 35:1-35:25 - Xiang Ao, Haoran Shi, Jin Wang, Luo Zuo, Hongwei Li, Qing He:
Large-Scale Frequent Episode Mining from Complex Event Sequences with Hierarchies. 36:1-36:26 - Thanh Cong Phan, Thanh Tam Nguyen, Hongzhi Yin, Bolong Zheng, Bela Stantic, Nguyen Quoc Viet Hung:
Efficient User Guidance for Validating Participatory Sensing Data. 37:1-37:30 - Wanqiu Cui, Junping Du, Dawei Wang, Xunpu Yuan, Feifei Kou, Liyan Zhou, Nan Zhou:
Short Text Analysis Based on Dual Semantic Extension and Deep Hashing in Microblog. 38:1-38:24 - Suining He, Kang G. Shin:
Spatio-temporal Adaptive Pricing for Balancing Mobility-on-Demand Networks. 39:1-39:28 - Ashwini Tonge, Cornelia Caragea:
Privacy-aware Tag Recommendation for Accurate Image Privacy Prediction. 40:1-40:28 - Guoshuai Zhao, Hao Fu, Ruihua Song, Tetsuya Sakai, Zhongxia Chen, Xing Xie, Xueming Qian:
Personalized Reason Generation for Explainable Song Recommendation. 41:1-41:21 - Deepak Thukral, Adesh Pandey, Rishabh Gupta, Vikram Goyal, Tanmoy Chakraborty:
DiffQue: Estimating Relative Difficulty of Questions in Community Question Answering Services. 42:1-42:27 - Zhe Jiang, Arpan Man Sainju, Yan Li, Shashi Shekhar, Joseph F. Knight:
Spatial Ensemble Learning for Heterogeneous Geographic Data with Class Ambiguity. 43:1-43:25 - Suvadeep Banerjee, Abhijit Chatterjee:
ALERA: Accelerated Reinforcement Learning Driven Adaptation to Electro-Mechanical Degradation in Nonlinear Control Systems Using Encoded State Space Error Signatures. 44:1-44:25
Volume 10, Number 5, November 2019
- Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui:
Introduction to the Special Section on Advances in Causal Discovery and Inference. 45:1-45:3 - Eric V. Strobl, Peter L. Spirtes, Shyam Visweswaran:
Estimating and Controlling the False Discovery Rate of the PC Algorithm Using Edge-specific P-Values. 46:1-46:37 - Benjamin Herd, Simon Miles:
Detecting Causal Relationships in Simulation Models Using Intervention-based Counterfactual Analysis. 47:1-47:25 - Ridho Rahmadi, Perry Groot, Tom Heskes:
Stable Specification Search in Structural Equation Models with Latent Variables. 48:1-48:23 - Yue Liu, Zheng Cai, Chunchen Liu, Zhi Geng:
Local Learning Approaches for Finding Effects of a Specified Cause and Their Causal Paths. 49:1-49:15 - Hao Zhang, Shuigeng Zhou, Jihong Guan, Jun Huan:
Measuring Conditional Independence by Independent Residuals for Causal Discovery. 50:1-50:19 - David Heckerman:
Toward Accounting for Hidden Common Causes When Inferring Cause and Effect from Observational Data. 51:1-51:5 - Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Wei Ding, Xindong Wu:
BAMB: A Balanced Markov Blanket Discovery Approach to Feature Selection. 52:1-52:25
- Yongshan Zhang, Jia Wu, Chuan Zhou, Zhihua Cai, Jian Yang, Philip S. Yu:
Multi-View Fusion with Extreme Learning Machine for Clustering. 53:1-53:23 - Stephen Law, Brooks Paige, Chris Russell:
Take a Look Around: Using Street View and Satellite Images to Estimate House Prices. 54:1-54:19 - Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Yuan (Alan) Qi, Zhi-Hua Zhou:
Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud. 55:1-55:19 - Ali Braytee, Wei Liu, Ali Anaissi, Paul J. Kennedy:
Correlated Multi-label Classification with Incomplete Label Space and Class Imbalance. 56:1-56:26 - Hamed Zamani, Markus Schedl, Paul Lamere, Ching-Wei Chen:
An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist Continuation. 57:1-57:21 - Fulvio Corno, Luigi De Russis, Alberto Monge Roffarello:
RecRules: Recommending IF-THEN Rules for End-User Development. 58:1-58:27 - Luca Pappalardo, Paolo Cintia, Paolo Ferragina, Emanuele Massucco, Dino Pedreschi, Fosca Giannotti:
PlayeRank: Data-driven Performance Evaluation and Player Ranking in Soccer via a Machine Learning Approach. 59:1-59:27
Volume 10, Number 6, December 2019
- Weijia Jia, Geyong Min, Yang Xiang, Arun Kumar Sangaiah:
Special Issue on Intelligent Edge Computing for Cyber Physical and Cloud Systems. - Zhaolong Ning, Peiran Dong, Xiaojie Wang, Joel J. P. C. Rodrigues, Feng Xia:
Deep Reinforcement Learning for Vehicular Edge Computing: An Intelligent Offloading System. 60:1-60:24 - Yuxin Liu, Xiao Liu, Anfeng Liu, Neal N. Xiong, Fang Liu:
A Trust Computing-based Security Routing Scheme for Cyber Physical Systems. 61:1-61:27 - Tian Wang, Hao Luo, Xi Zheng, Mande Xie:
Crowdsourcing Mechanism for Trust Evaluation in CPCS Based on Intelligent Mobile Edge Computing. 62:1-62:19 - Fang Liu, Yeting Guo, Zhiping Cai, Nong Xiao, Ziming Zhao:
Edge-enabled Disaster Rescue: A Case Study of Searching for Missing People. 63:1-63:21 - Xiaoming Li, Guangquan Xu, Xi Zheng, Kaitai Liang, Emmanouil Panaousis, Tao Li, Wei Wang, Chao Shen:
Using Sparse Representation to Detect Anomalies in Complex WSNs. 64:1-64:18 - Po Yang, Jing Liu, Jun Qi, Yun Yang, Xulong Wang, Zhihan Lv:
Comparison and Modelling of Country-level Microblog User and Activity in Cyber-physical-social Systems Using Weibo and Twitter Data. 65:1-65:24 - Umair Ullah Tariq, Haider Ali, Lu Liu, John Panneerselvam, Xiaojun Zhai:
Energy-efficient Static Task Scheduling on VFI-based NoC-HMPSoCs for Intelligent Edge Devices in Cyber-physical Systems. 66:1-66:22 - Junhao Zhou, Hong-Ning Dai, Hao Wang:
Lightweight Convolution Neural Networks for Mobile Edge Computing in Transportation Cyber Physical Systems. 67:1-67:20 - Wenjuan Tang, Ju Ren, Kuan Zhang, Deyu Zhang, Yaoxue Zhang, Xuemin (Sherman) Shen:
Efficient and Privacy-preserving Fog-assisted Health Data Sharing Scheme. 68:1-68:23 - Jin Li, Tong Li, Zheli Liu, Xiaofeng Chen:
Secure Deduplication System with Active Key Update and Its Application in IoT. 69:1-69:21
- Ying Zhao, Lei Wang, Shijie Li, Fangfang Zhou, Xiaoru Lin, Qiang Lu, Lei Ren:
A Visual Analysis Approach for Understanding Durability Test Data of Automotive Products. 70:1-70:23 - Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Olivier Chesneau:
Mixture of Joint Nonhomogeneous Markov Chains to Cluster and Model Water Consumption Behavior Sequences. 71:1-71:21
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