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ORCIDACM Transactions on Intelligent Systems and Technology, Volume 11
Volume 11, Number 1, February 2020
- Binbin Zhou
, Sha Zhao, Longbiao Chen, Shijian Li, Zhaohui Wu, Gang Pan:
Forecasting Price Trend of Bulk Commodities Leveraging Cross-domain Open Data Fusion. 1:1-1:26 - Yiqun Xie, Xun Zhou, Shashi Shekhar:
Discovering Interesting Subpaths with Statistical Significance from Spatiotemporal Datasets. 2:1-2:24 - Ramon Lopes, Renato M. Assunção, Rodrygo L. T. Santos:
Graph-based Recommendation Meets Bayes and Similarity Measures. 3:1-3:26 - Sofia Amador Nelke, Steven Okamoto, Roie Zivan:
Market Clearing-based Dynamic Multi-agent Task Allocation. 4:1-4:25 - Marcin Waniek, Tomasz P. Michalak, Aamena Alshamsi:
Strategic Attack & Defense in Security Diffusion Games. 5:1-5:35 - Jindong Wang, Yiqiang Chen, Wenjie Feng, Han Yu, Meiyu Huang, Qiang Yang:
Transfer Learning with Dynamic Distribution Adaptation. 6:1-6:25 - Benjamin D. Horne, Jeppe Nørregaard, Sibel Adali:
Robust Fake News Detection Over Time and Attack. 7:1-7:23 - Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Zhenming Liu, Rui Song, Hui Lu, Zhihong Tian, Jun Luo:
DHPA: Dynamic Human Preference Analytics Framework: A Case Study on Taxi Drivers' Learning Curve Analysis. 8:1-8:19 - Meng Wang, Hui Li, Jiangtao Cui, Sourav S. Bhowmick, Ping Liu:
FROST: Movement History-Conscious Facility Relocation. 9:1-9:26 - Tao-Yang Fu, Wang-Chien Lee:
Trembr: Exploring Road Networks for Trajectory Representation Learning. 10:1-10:25 - Ghazaleh Beigi, Jiliang Tang, Huan Liu:
Social Science-guided Feature Engineering: A Novel Approach to Signed Link Analysis. 11:1-11:27 - Ping Luo, Kai Shu, Junjie Wu, Li Wan, Yong Tan:
Exploring Correlation Network for Cheating Detection. 12:1-12:23
Volume 11, Number 2, March 2020
Survey Paper
- Shuo Zhang, Krisztian Balog:
Web Table Extraction, Retrieval, and Augmentation: A Survey. 13:1-13:35
- Lei Zhu, Xu Lu, Zhiyong Cheng, Jingjing Li, Huaxiang Zhang:
Flexible Multi-modal Hashing for Scalable Multimedia Retrieval. 14:1-14:20 - Samuel E. L. Oliveira, Victor Diniz, Anísio Lacerda, Luiz H. C. Merschmann, Gisele L. Pappa:
Is Rank Aggregation Effective in Recommender Systems? An Experimental Analysis. 16:1-16:26 - Juan Ye, Simon Dobson, Franco Zambonelli:
XLearn: Learning Activity Labels across Heterogeneous Datasets. 17:1-17:28 - Hankz Hankui Zhuo, Yantian Zha, Subbarao Kambhampati, Xin Tian:
Discovering Underlying Plans Based on Shallow Models. 18:1-18:30 - Chien-Chih Wang, Kent Loong Tan, Chih-Jen Lin:
Newton Methods for Convolutional Neural Networks. 19:1-19:30 - Shih-Chia Huang, Da-Wei Jaw, Bo-Hao Chen, Sy-Yen Kuo:
Single Image Snow Removal Using Sparse Representation and Particle Swarm Optimizer. 20:1-20:15 - Wenhe Liu, Xiaojun Chang, Ling Chen, Dinh Phung, Xiaoqin Zhang, Yi Yang, Alexander G. Hauptmann:
Pair-based Uncertainty and Diversity Promoting Early Active Learning for Person Re-identification. 21:1-21:15 - Lei Chen, Zhiang Wu, Jie Cao, Guixiang Zhu, Yong Ge:
Travel Recommendation via Fusing Multi-Auxiliary Information into Matrix Factorization. 22:1-22:24 - Ramon Fraga Pereira, Nir Oren, Felipe Meneguzzi:
Using Sub-Optimal Plan Detection to Identify Commitment Abandonment in Discrete Environments. 23:1-23:26 - Erez Shmueli, Tamir Tassa:
Mediated Secure Multi-Party Protocols for Collaborative Filtering. 15:1-15:25
Volume 11, Number 3, May 2020
Survey Paper
- Zhuang Liu, Keli Xiao, Bo Jin, Kaiyu Huang, Degen Huang, Yunxia Zhang:
Unified Generative Adversarial Networks for Multiple-Choice Oriented Machine Comprehension. 25:1-25:20 - Ankit Shah, Arunesh Sinha, Rajesh Ganesan, Sushil Jajodia, Hasan Cam:
Two Can Play That Game: An Adversarial Evaluation of a Cyber-Alert Inspection System. 32:1-32:20 - Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang:
A Causal Dirichlet Mixture Model for Causal Inference from Observational Data. 33:1-33:29 - Gengyu Lyu, Songhe Feng, Yidong Li, Yi Jin, Guojun Dai, Congyan Lang:
HERA: Partial Label Learning by Combining Heterogeneous Loss with Sparse and Low-Rank Regularization. 34:1-34:19
- Wei Emma Zhang, Quan Z. Sheng, Ahoud Alhazmi, Chenliang Li:
Adversarial Attacks on Deep-learning Models in Natural Language Processing: A Survey. 24:1-24:41 - Gábor Horváth, Edith Kovács, Roland Molontay, Szabolcs Nováczki:
Copula-Based Anomaly Scoring and Localization for Large-Scale, High-Dimensional Continuous Data. 26:1-26:26 - Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Hongyu Shan, Weixiong Zhang:
Modeling with Node Popularities for Autonomous Overlapping Community Detection. 27:1-27:23 - Yawei Zhao, Qian Zhao, Xingxing Zhang, En Zhu, Xinwang Liu, Jianping Yin:
Understand Dynamic Regret with Switching Cost for Online Decision Making. 28:1-28:21 - Xueliang Liu, Xun Yang, Meng Wang, Richang Hong:
Deep Neighborhood Component Analysis for Visual Similarity Modeling. 29:1-29:15 - Heike Brock, Felix Law, Kazuhiro Nakadai, Yuji Nagashima:
Learning Three-dimensional Skeleton Data from Sign Language Video. 30:1-30:24 - Lei Zhang, Yixiang Zhang, Xiaolong Zheng:
WiSign: Ubiquitous American Sign Language Recognition Using Commercial Wi-Fi Devices. 31:1-31:24 - Udit Arora, Hridoy Sankar Dutta, Brihi Joshi, Aditya Chetan, Tanmoy Chakraborty:
Analyzing and Detecting Collusive Users Involved in Blackmarket Retweeting Activities. 35:1-35:24
Volume 11, Number 4, July 2020
Survey Paper
- Rui Yao, Guosheng Lin, Shixiong Xia, Jiaqi Zhao, Yong Zhou:
Video Object Segmentation and Tracking: A Survey. 36:1-36:47
- Yingying Zhang, Quan Fang, Shengsheng Qian, Changsheng Xu:
Knowledge-aware Attentive Wasserstein Adversarial Dialogue Response Generation. 37:1-37:20 - Sidney A. Feygin, Jessica R. Lazarus, Edward H. Forscher, Valentine Golfier-Vetterli, Jonathan W. Lee, Abhishek Gupta, Rashid A. Waraich, Colin J. R. Sheppard, Alexandre M. Bayen:
BISTRO: Berkeley Integrated System for Transportation Optimization. 38:1-38:27 - Hui Liu, Haiou Wang, Yan Wu, Lei Xing:
Superpixel Region Merging Based on Deep Network for Medical Image Segmentation. 39:1-39:22 - Divya Singhal, Abhinav Gupta, Anurag Tripathi, Ravi Kothari:
CNN-based Multiple Manipulation Detector Using Frequency Domain Features of Image Residuals. 40:1-40:26 - Lin Li, Weike Pan, Zhong Ming:
CoFi-points: Collaborative Filtering via Pointwise Preference Learning on User/Item-Set. 41:1-41:24 - Jing Ma, Wei Gao, Shafiq R. Joty, Kam-Fai Wong:
An Attention-based Rumor Detection Model with Tree-structured Recursive Neural Networks. 42:1-42:28 - Jun-Zhe Wang, Yi-Cheng Chen, Wen-Yueh Shih, Lin Yang, Yu-Shao Liu, Jiun-Long Huang:
Mining High-utility Temporal Patterns on Time Interval-based Data. 43:1-43:31 - Hanrui Wu, Yuguang Yan, Michael K. Ng, Qingyao Wu:
Domain-attention Conditional Wasserstein Distance for Multi-source Domain Adaptation. 44:1-44:19 - Jungeun Kim, Jae-Gil Lee, Byung Suk Lee, Jiajun Liu:
Geosocial Co-Clustering: A Novel Framework for Geosocial Community Detection. 45:1-45:26 - Yapei Huang, Yun Tian, Zhijie Liu, Xiaowei Jin, Yanan Liu, Shifeng Zhao, Daxin Tian:
A Traffic Density Estimation Model Based on Crowdsourcing Privacy Protection. 46:1-46:18 - Min Wang, Congyan Lang, Liqian Liang, Songhe Feng, Tao Wang, Yutong Gao:
End-to-End Text-to-Image Synthesis with Spatial Constrains. 47:1-47:19 - Guang Wang, Fan Zhang, Huijun Sun, Yang Wang, Desheng Zhang:
Understanding the Long-Term Evolution of Electric Taxi Networks: A Longitudinal Measurement Study on Mobility and Charging Patterns. 48:1-48:27 - Xiang Zhang, Lina Yao, Chaoran Huang, Tao Gu, Zheng Yang, Yunhao Liu:
DeepKey: A Multimodal Biometric Authentication System via Deep Decoding Gaits and Brainwaves. 49:1-49:24
Volume 11, Number 5, September 2020
Survey Paper
- Garrett Wilson, Diane J. Cook:
A Survey of Unsupervised Deep Domain Adaptation. 51:1-51:46
- Chaochao Chen, Jun Zhou, Bingzhe Wu, Wenjing Fang, Li Wang, Yuan Qi, Xiaolin Zheng:
Practical Privacy Preserving POI Recommendation. 52:1-52:20 - Nikhil Muralidhar, Anika Tabassum, Liangzhe Chen, Supriya Chinthavali, Naren Ramakrishnan, B. Aditya Prakash:
Cut-n-Reveal: Time Series Segmentations with Explanations. 53:1-53:26 - Jizhou Huang, Haifeng Wang, Wei Zhang, Ting Liu:
Multi-Task Learning for Entity Recommendation and Document Ranking in Web Search. 54:1-54:24 - Ahmad Albaqsami, Maryam S. Hosseini, Masoomeh Jasemi, Nader Bagherzadeh:
Adaptive HTF-MPR: An Adaptive Heterogeneous TensorFlow Mapper Utilizing Bayesian Optimization and Genetic Algorithms. 55:1-55:25 - Rui Liu, Runze Liu, Andrea Pugliese, V. S. Subrahmanian:
STARS: Defending against Sockpuppet-Based Targeted Attacks on Reviewing Systems. 56:1-56:25 - Yuxiang Zhou, Lejian Liao, Yang Gao, Heyan Huang, Xiaochi Wei:
A Discriminative Convolutional Neural Network with Context-aware Attention. 57:1-57:21 - Chenglong Dai, Dechang Pi, Stefanie I. Becker:
Shapelet-transformed Multi-channel EEG Channel Selection. 58:1-58:27 - Munkh-Erdene Yadamjav, Zhifeng Bao, Baihua Zheng, Farhana Murtaza Choudhury, Hanan Samet:
Querying Recurrent Convoys over Trajectory Data. 59:1-59:24 - Xiaoguang Tu, Zheng Ma, Jian Zhao, Guodong Du, Mei Xie, Jiashi Feng:
Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing. 60:1-60:19 - Qing Tian, Wenqiang Zhang, Meng Cao, Liping Wang, Songcan Chen, Hujun Yin:
Moment-Guided Discriminative Manifold Correlation Learning on Ordinal Data. 61:1-61:18 - Kun Yuan, Guannan Liu, Junjie Wu, Hui Xiong:
Dancing with Trump in the Stock Market: A Deep Information Echoing Model. 62:1-62:22 - Eddy Maddalena, Luis-Daniel Ibáñez, Elena Simperl:
Mapping Points of Interest Through Street View Imagery and Paid Crowdsourcing. 63:1-63:28
Volume 11, Number 6, November 2020
Survey Paper
- Tong Xia, Yong Li, Jie Feng, Depeng Jin, Qing Zhang, Hengliang Luo, Qingmin Liao:
DeepApp: Predicting Personalized Smartphone App Usage via Context-Aware Multi-Task Learning. 64:1-64:12
- Zimu Zheng, Jie Pu, Linghui Liu, Dan Wang, Xiangming Mei, Sen Zhang, Quanyu Dai:
Contextual Anomaly Detection in Solder Paste Inspection with Multi-Task Learning. 65:1-65:17 - Sharon Levy, Wenhan Xiong, Elizabeth M. Belding, William Yang Wang:
SafeRoute: Learning to Navigate Streets Safely in an Urban Environment. 66:1-66:17 - Zohaib Md. Jan, Brijesh K. Verma:
Multiple Elimination of Base Classifiers in Ensemble Learning Using Accuracy and Diversity Comparisons. 67:1-67:17 - Bayu Adhi Tama, Marco Comuzzi, Jonghyeon Ko:
An Empirical Investigation of Different Classifiers, Encoding, and Ensemble Schemes for Next Event Prediction Using Business Process Event Logs. 68:1-68:34 - Debopriyo Banerjee, Krothapalli Sreenivasa Rao, Shamik Sural, Niloy Ganguly:
BOXREC: Recommending a Box of Preferred Outfits in Online Shopping. 69:1-69:28 - Pan Li, Alexander Tuzhilin:
Latent Unexpected Recommendations. 70:1-70:25 - Carlos Eiras-Franco, David Martínez-Rego, Leslie Kanthan, César Piñeiro, Antonio Bahamonde, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos:
Fast Distributed kNN Graph Construction Using Auto-tuned Locality-sensitive Hashing. 71:1-71:18 - Junwei Li, Le Wu, Richang Hong, Kun Zhang, Yong Ge, Yan Li:
A Joint Neural Model for User Behavior Prediction on Social Networking Platforms. 72:1-72:25 - Moshe Mash, Roy Fairstein, Yoram Bachrach, Kobi Gal, Yair Zick:
Human-computer Coalition Formation in Weighted Voting Games. 73:1-73:20 - Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, Wei Emma Zhang, Anne H. H. Ngu, Jian Yang:
From Appearance to Essence: Comparing Truth Discovery Methods without Using Ground Truth. 74:1-74:24
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