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ORCIDACM Transactions on Knowledge Discovery from Data, Volume 16
Volume 16, Number 1, February 2022
- Fenglin Liu, Xian Wu
, Shen Ge, Xuancheng Ren, Wei Fan, Xu Sun, Yuexian Zou:
DiMBERT: Learning Vision-Language Grounded Representations with Disentangled Multimodal-Attention. 1:1-1:19 - Chen Gao, Yong Li, Fuli Feng, Xiangning Chen, Kai Zhao, Xiangnan He, Depeng Jin:
Cross-domain Recommendation with Bridge-Item Embeddings. 2:1-2:23 - Luyue Lin, Xin Zheng, Bo Liu, Wei Chen, Yanshan Xiao:
A Latent Variable Augmentation Method for Image Categorization with Insufficient Training Samples. 3:1-3:35 - Jianliang Gao, Xiaoting Ying, Cong Xu, Jianxin Wang, Shichao Zhang, Zhao Li:
Graph-Based Stock Recommendation by Time-Aware Relational Attention Network. 4:1-4:21 - Yaojin Lin, Qinghua Hu, Jinghua Liu, Xingquan Zhu, Xindong Wu:
MULFE: Multi-Label Learning via Label-Specific Feature Space Ensemble. 5:1-5:24 - Fandel Lin, Hsun-Ping Hsieh:
A Joint Passenger Flow Inference and Path Recommender System for Deploying New Routes and Stations of Mass Transit Transportation. 6:1-6:36 - Huafeng Liu, Liping Jing, Jingxuan Wen, Pengyu Xu, Jian Yu, Michael K. Ng:
Bayesian Additive Matrix Approximation for Social Recommendation. 7:1-7:34 - Jinjin Guo, Longbing Cao, Zhiguo Gong:
Recurrent Coupled Topic Modeling over Sequential Documents. 8:1-8:32 - Yunyan Guo, Jianzhong Li:
Distributed Latent Dirichlet Allocation on Streams. 9:1-9:20 - Juhee Han, Younghoon Lee:
Explainable Artificial Intelligence-Based Competitive Factor Identification. 10:1-10:11 - Ricky Laishram, Jeremy D. Wendt, Sucheta Soundarajan:
MCS+: An Efficient Algorithm for Crawling the Community Structure in Multiplex Networks. 11:1-11:32 - Lichen Wang, Zhengming Ding, Yun Fu:
Generic Multi-label Annotation via Adaptive Graph and Marginalized Augmentation. 12:1-12:20 - Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
Lost in Transduction: Transductive Transfer Learning in Text Classification. 13:1-13:21 - Yangfan Li, Kenli Li, Cen Chen, Xu Zhou, Zeng Zeng, Keqin Li:
Modeling Temporal Patterns with Dilated Convolutions for Time-Series Forecasting. 14:1-14:22 - Keyu Yang, Yunjun Gao, Lei Liang, Song Bian, Lu Chen, Baihua Zheng:
CrowdTC: Crowd-powered Learning for Text Classification. 15:1-15:23 - Haobing Liu, Yanmin Zhu, Tianzi Zang, Yanan Xu, Jiadi Yu, Feilong Tang:
Jointly Modeling Heterogeneous Student Behaviors and Interactions among Multiple Prediction Tasks. 16:1-16:24 - Wu Lee, Yuliang Shi, Hongfeng Sun, Lin Cheng, Kun Zhang, Xinjun Wang, Zhiyong Chen:
MSIPA: Multi-Scale Interval Pattern-Aware Network for ICU Transfer Prediction. 17:1-17:17 - Min-Ling Zhang, Jun-Peng Fang, Yi-Bo Wang:
BiLabel-Specific Features for Multi-Label Classification. 18:1-18:23 - Bo Liu, Haowen Zhong, Yanshan Xiao:
New Multi-View Classification Method with Uncertain Data. 19:1-19:23 - Gyoung S. Na, Hyunju Chang:
Unsupervised Subspace Extraction via Deep Kernelized Clustering. 20:1-20:15
Volume 16, Number 2, April 2022
- Charu C. Aggarwal:
Communication from the Editor-in-Chief: State of the ACM Transactions on Knowledge Discovery from Data. 21e:1-21e:2 - Chunkai Zhang, Zilin Du, Yuting Yang, Wensheng Gan, Philip S. Yu:
On-Shelf Utility Mining of Sequence Data. 21:1-21:31 - Cong Tran, Won-Yong Shin, Andreas Spitz:
Community Detection in Partially Observable Social Networks. 22:1-22:24 - Zhao Li, Junshuai Song, Zehong Hu, Zhen Wang, Jun Gao:
Constrained Dual-Level Bandit for Personalized Impression Regulation in Online Ranking Systems. 23:1-23:23 - Kevin O'Hare, Anna Jurek-Loughrey, Cassio P. de Campos:
High-Value Token-Blocking: Efficient Blocking Method for Record Linkage. 24:1-24:17 - Ming Ding, Tianyu Wang, Xudong Wang:
Establishing Smartphone User Behavior Model Based on Energy Consumption Data. 25:1-25:40 - João Saúde, Guilherme Ramos, Ludovico Boratto, Carlos Caleiro:
A Robust Reputation-Based Group Ranking System and Its Resistance to Bribery. 26:1-26:35 - Hanlu Wu, Tengfei Ma, Lingfei Wu, Fangli Xu, Shouling Ji:
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing. 27:1-27:18 - Hui-Jia Li, Lin Wang, Zhan Bu, Jie Cao, Yong Shi:
Measuring the Network Vulnerability Based on Markov Criticality. 28:1-28:24 - Guangtao Wang, Gao Cong, Ying Zhang, Zhen Hai, Jieping Ye:
A Synopsis Based Approach for Itemset Frequency Estimation over Massive Multi-Transaction Stream. 29:1-29:30 - Jianfei Yin, Ruili Wang, Yeqing Guo, Yizhe Bai, Shunda Ju, Weili Liu, Joshua Zhexue Huang:
Wealth Flow Model: Online Portfolio Selection Based on Learning Wealth Flow Matrices. 30:1-30:27 - Juan Isidro González Hidalgo, Silas G. T. C. Santos, Roberto S. M. Barros:
Dynamically Adjusting Diversity in Ensembles for the Classification of Data Streams with Concept Drift. 31:1-31:20 - Riccardo Cantini, Fabrizio Marozzo, Giovanni Bruno, Paolo Trunfio:
Learning Sentence-to-Hashtags Semantic Mapping for Hashtag Recommendation on Microblogs. 32:1-32:26 - Rediet Abebe, T.-H. Hubert Chan, Jon M. Kleinberg, Zhibin Liang, David C. Parkes, Mauro Sozio, Charalampos E. Tsourakakis:
Opinion Dynamics Optimization by Varying Susceptibility to Persuasion via Non-Convex Local Search. 33:1-33:34 - Yang Yang, Hongchen Wei, Zhen-Qiang Sun, Guangyu Li, Yuanchun Zhou, Hui Xiong, Jian Yang:
S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification. 34:1-34:27 - Yiding Zhang, Xiao Wang, Nian Liu, Chuan Shi:
Embedding Heterogeneous Information Network in Hyperbolic Spaces. 35:1-35:23 - Xueyuan Wang, Hongpo Zhang, Zongmin Wang, Yaqiong Qiao, Jiangtao Ma, Honghua Dai:
Con&Net: A Cross-Network Anchor Link Discovery Method Based on Embedding Representation. 36:1-36:18 - Hangbin Zhang, Raymond K. Wong, Victor W. Chu:
Hybrid Variational Autoencoder for Recommender Systems. 37:1-37:37 - Lucas Santos de Oliveira, Pedro Olmo Stancioli Vaz de Melo, Aline Carneiro Viana:
Assessing Large-Scale Power Relations among Locations from Mobility Data. 38:1-38:31 - Zhenyu Zhang, Lei Zhang, Dingqi Yang, Liu Yang:
KRAN: Knowledge Refining Attention Network for Recommendation. 39:1-39:20 - Liang Zhao, Yuyang Gao, Jieping Ye, Feng Chen, Yanfang Ye, Chang-Tien Lu, Naren Ramakrishnan:
Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning. 40:1-40:28
Volume 16, Number 3, June 2022
- Shuo Lei, Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu:
Online and Distributed Robust Regressions with Extremely Noisy Labels. 41:1-41:24 - Xingjian Li, Haoyi Xiong, Zeyu Chen, Jun Huan, Ji Liu, Cheng-Zhong Xu, Dejing Dou:
Knowledge Distillation with Attention for Deep Transfer Learning of Convolutional Networks. 42:1-42:20 - Mona Nashaat, Aindrila Ghosh, James Miller, Shaikh Quader:
Semi-Supervised Ensemble Learning for Dealing with Inaccurate and Incomplete Supervision. 43:1-43:33 - Ping Shao, Yang Yang, Shengyao Xu, Chunping Wang:
Network Embedding via Motifs. 44:1-44:20 - Kun Kuang, Hengtao Zhang, Runze Wu, Fei Wu, Yueting Zhuang, Aijun Zhang:
Balance-Subsampled Stable Prediction Across Unknown Test Data. 45:1-45:21 - Ling Chen, Xing Tang, Weiqi Chen, Yuntao Qian, Yansheng Li, Yongjun Zhang:
DACHA: A Dual Graph Convolution Based Temporal Knowledge Graph Representation Learning Method Using Historical Relation. 46:1-46:18 - Huandong Wang, Yong Li, Junjie Lin, Hancheng Cao, Depeng Jin:
Context-Aware Semantic Annotation of Mobility Records. 47:1-47:20 - Tian Shi, Xuchao Zhang, Ping Wang, Chandan K. Reddy:
Corpus-level and Concept-based Explanations for Interpretable Document Classification. 48:1-48:17 - Jie Feng, Yong Li, Ziqian Lin, Can Rong, Funing Sun, Diansheng Guo, Depeng Jin:
Context-aware Spatial-Temporal Neural Network for Citywide Crowd Flow Prediction via Modeling Long-range Spatial Dependency. 49:1-49:21 - Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Jingyi Zheng, Zhe Jiang, Da Yan, Dejing Dou:
Unsupervised Adversarial Network Alignment with Reinforcement Learning. 50:1-50:29 - Youxi Wu, Lanfang Luo, Yan Li, Lei Guo, Philippe Fournier-Viger, Xingquan Zhu, Xindong Wu:
NTP-Miner: Nonoverlapping Three-Way Sequential Pattern Mining. 51:1-51:21 - Yuanchun Jiang, Ruicheng Liang, Ji Zhang, Jianshan Sun, Ye-Zheng Liu, Yang Qian:
Network Public Opinion Detection During the Coronavirus Pandemic: A Short-Text Relational Topic Model. 52:1-52:27 - Heli Sun, Yang Li, Bing Lv, Wujie Yan, Liang He, Shaojie Qiao, Jianbin Huang:
Graph Community Infomax. 53:1-53:21 - Guliu Liu, Lei Li, Guanfeng Liu, Xindong Wu:
Social Group Query Based on Multi-Fuzzy-Constrained Strong Simulation. 54:1-54:27 - Shangsong Liang, Zhuo Ouyang, Zaiqiao Meng:
A Normalizing Flow-Based Co-Embedding Model for Attributed Networks. 55:1-55:31 - Yonghui Xu, Shengjie Sun, Huiguo Zhang, Chang'an Yi, Yuan Miao, Dong Yang, Xiaonan Meng, Yi Hu, Ke Wang, Huaqing Min, Hengjie Song, Chuanyan Miao:
Time-Aware Graph Embedding: A Temporal Smoothness and Task-Oriented Approach. 56:1-56:23 - Robert A. Sowah, Bernard Kuditchar, Godfrey A. Mills, Amevi Acakpovi, Raphael A. Twum, Gifty Buah, Robert Agboyi:
HCBST: An Efficient Hybrid Sampling Technique for Class Imbalance Problems. 57:1-57:37 - Junchen Jin, Mark Heimann, Di Jin, Danai Koutra:
Toward Understanding and Evaluating Structural Node Embeddings. 58:1-58:32 - Mengzhuo Guo, Zhongzhi Xu, Qingpeng Zhang, Xiuwu Liao, Jiapeng Liu:
Deciphering Feature Effects on Decision-Making in Ordinal Regression Problems: An Explainable Ordinal Factorization Model. 59:1-59:26 - Jerry Chun-Wei Lin, Youcef Djenouri, Gautam Srivastava, Yuanfa Li, Philip S. Yu:
Scalable Mining of High-Utility Sequential Patterns With Three-Tier MapReduce Model. 60:1-60:26
Volume 16, Number 4, August 2022
- Manish Gupta, Puneet Agrawal:
Compression of Deep Learning Models for Text: A Survey. 61:1-61:55 - Chang Liu, Jie Yan, Feiyue Guo, Min Guo:
Forecasting the Market with Machine Learning Algorithms: An Application of NMC-BERT-LSTM-DQN-X Algorithm in Quantitative Trading. 62:1-62:22 - Danlu Liu, Yu Li, William Baskett, Dan Lin, Chi-Ren Shyu:
RHPTree - Risk Hierarchical Pattern Tree for Scalable Long Pattern Mining. 63:1-63:33 - Muyang Ma, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Lifan Zhao, Peiyu Liu, Jun Ma, Maarten de Rijke:
Mixed Information Flow for Cross-Domain Sequential Recommendations. 64:1-64:32 - Zhe Fu, Li Yu, Xi Niu:
TRACE: Travel Reinforcement Recommendation Based on Location-Aware Context Extraction. 65:1-65:22 - Kui Yu, Yajing Yang, Wei Ding:
Causal Feature Selection with Missing Data. 66:1-66:24 - Fei Gao, Jiada Li, Yisu Ge, Jianwen Shao, Shufang Lu, Libo Weng:
A Trajectory Evaluator by Sub-tracks for Detecting VOT-based Anomalous Trajectory. 67:1-67:19 - Fereshteh Jafariakinabad, Kien A. Hua:
A Self-Supervised Representation Learning of Sentence Structure for Authorship Attribution. 68:1-68:16 - Honghui Xu, Zhipeng Cai, Wei Li:
Privacy-Preserving Mechanisms for Multi-Label Image Recognition. 69:1-69:21 - Muhammad Abulaish, Mohd Fazil, Mohammed J. Zaki:
Domain-Specific Keyword Extraction Using Joint Modeling of Local and Global Contextual Semantics. 70:1-70:30 - Mu Yuan, Lan Zhang, Xiang-Yang Li, Lin-Zhuo Yang, Hui Xiong:
Adaptive Model Scheduling for Resource-efficient Data Labeling. 71:1-71:22 - Min-Ling Zhang, Jing-Han Wu, Wei-Xuan Bao:
Disambiguation Enabled Linear Discriminant Analysis for Partial Label Dimensionality Reduction. 72:1-72:18 - Chenji Huang, Yixiang Fang, Xuemin Lin, Xin Cao, Wenjie Zhang:
ABLE: Meta-Path Prediction in Heterogeneous Information Networks. 73:1-73:21 - Junkun Yuan, Anpeng Wu, Kun Kuang, Bo Li, Runze Wu, Fei Wu, Lanfen Lin:
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition. 74:1-74:20 - Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos:
Real-Time Anomaly Detection in Edge Streams. 75:1-75:22 - Aida Sheshbolouki, M. Tamer Özsu:
sGrapp: Butterfly Approximation in Streaming Graphs. 76:1-76:43 - Hanrui Wu, Michael K. Ng:
Multiple Graphs and Low-Rank Embedding for Multi-Source Heterogeneous Domain Adaptation. 77:1-77:25 - Liudmila Prokhorenkova, Alexey Tikhonov, Nelly Litvak:
When Less Is More: Systematic Analysis of Cascade-Based Community Detection. 78:1-78:22 - Xu Yang, Chao Song, Mengdi Yu, Jiqing Gu, Ming Liu:
Distributed Triangle Approximately Counting Algorithms in Simple Graph Stream. 79:1-79:43 - Hanrui Wu, Michael K. Ng:
Hypergraph Convolution on Nodes-Hyperedges Network for Semi-Supervised Node Classification. 80:1-80:19
Volume 16, Number 5, October 2022
- Yanyan Shen, Baoyuan Ou, Ranzhen Li:
MBN: Towards Multi-Behavior Sequence Modeling for Next Basket Recommendation. 81:1-81:23 - Xiangyu Ke, Arijit Khan, Francesco Bonchi:
Multi-relation Graph Summarization. 82:1-82:30 - Weirong Chen, Jiaqi Zheng, Haoyu Yu, Guihai Chen, Yixin Chen, Dongsheng Li:
Online Learning Bipartite Matching with Non-stationary Distributions. 83:1-83:22 - Koffi Eddy Ihou, Manar Amayri, Nizar Bouguila:
Stochastic Variational Optimization of a Hierarchical Dirichlet Process Latent Beta-Liouville Topic Model. 84:1-84:48 - Athanasios Davvetas, Iraklis A. Klampanos, Spiros Skiadopoulos, Vangelis Karkaletsis:
Evidence Transfer: Learning Improved Representations According to External Heterogeneous Task Outcomes. 85:1-85:22 - Aparna S. Varde:
Computational Estimation by Scientific Data Mining with Classical Methods to Automate Learning Strategies of Scientists. 86:1-86:52 - Peng Zhou, Shu Zhao, Yuan-Ting Yan, Xindong Wu:
Online Scalable Streaming Feature Selection via Dynamic Decision. 87:1-87:20 - K. M. Pooja, Samrat Mondal, Joydeep Chandra:
Exploiting Higher Order Multi-dimensional Relationships with Self-attention for Author Name Disambiguation. 88:1-88:23 - Shuyu Pei, Kun Xie, Xin Wang, Gaogang Xie, Kenli Li, Wei Li, Yanbiao Li, Jigang Wen:
BhBF: A Bloom Filter Using Bh Sequences for Multi-set Membership Query. 89:1-89:26 - Ling Chen, Hongyu Shi:
DexDeepFM: Ensemble Diversity Enhanced Extreme Deep Factorization Machine Model. 90:1-90:17 - Shikha Singh, Emilie Chouzenoux, Giovanni Chierchia, Angshul Majumdar:
Multi-label Deep Convolutional Transform Learning for Non-intrusive Load Monitoring. 91:1-91:6 - Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Constant Time Graph Neural Networks. 92:1-92:31 - Zhaolong Ling, Kui Yu, Lin Liu, Jiuyong Li, Yiwen Zhang, Xindong Wu:
PSL: An Algorithm for Partial Bayesian Network Structure Learning. 93:1-93:25 - Promila Sharma, Uma Meena, Girish Kumar Sharma:
Intelligent Data Analysis using Optimized Support Vector Machine Based Data Mining Approach for Tourism Industry. 94:1-94:20 - Mengdi Huai, Tianhang Zheng, Chenglin Miao, Liuyi Yao, Aidong Zhang:
On the Robustness of Metric Learning: An Adversarial Perspective. 95:1-95:25 - Zhaopeng Qiu, Yunfan Hu, Xian Wu:
Graph Neural News Recommendation with User Existing and Potential Interest Modeling. 96:1-96:17 - Kanika Goel, Sander J. J. Leemans, Niels Martin, Moe Thandar Wynn:
Quality-Informed Process Mining: A Case for Standardised Data Quality Annotations. 97:1-97:47 - Hao Liu, Qingyu Guo, Hengshu Zhu, Fuzhen Zhuang, Shenwen Yang, Dejing Dou, Hui Xiong:
Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond. 98:1-98:24 - Saullo H. G. Oliveira, André R. Gonçalves, Fernando J. Von Zuben:
Asymmetric Multi-Task Learning with Local Transference. 99:1-99:30 - Sheng Zhong, Vinícius M. A. de Souza, Abdullah Mueen:
Combining Filtering and Cross-Correlation Efficiently for Streaming Time Series. 100:1-100:24
Volume 16, Number 6, December 2022
- Marcel Jirina, Said Krayem:
The Distance Function Optimization for the Near Neighbors-Based Classifiers. 101:1-101:21 - Fu Jie Tey, Tin-Yu Wu, Jiann-Liang Chen:
Machine Learning-based Short-term Rainfall Prediction from Sky Data. 102:1-102:18 - Reem A. Mahmoud, Hazem M. Hajj:
Multi-objective Learning to Overcome Catastrophic Forgetting in Time-series Applications. 103:1-103:20 - Zhaobo Wang, Yanmin Zhu, Qiaomei Zhang, Haobing Liu, Chunyang Wang, Tong Liu:
Graph-Enhanced Spatial-Temporal Network for Next POI Recommendation. 104:1-104:21 - Sindhu Tipirneni, Chandan K. Reddy:
Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series. 105:1-105:17 - Shilin Gu, Yuhua Qian, Chenping Hou:
Incremental Feature Spaces Learning with Label Scarcity. 106:1-106:26 - Zhe Li, Chunhua Sun, Chunli Liu, Xiayu Chen, Meng Wang, Yezheng Liu:
Dual-MGAN: An Efficient Approach for Semi-supervised Outlier Detection with Few Identified Anomalies. 107:1-107:30 - Yu Wang, Hanghang Tong, Ziye Zhu, Yun Li:
Nested Named Entity Recognition: A Survey. 108:1-108:29 - Houping Xiao, Shiyu Wang:
Toward Quality of Information Aware Distributed Machine Learning. 109:1-109:28 - Jianghui Cai, Yuqing Yang, Haifeng Yang, Xujun Zhao, Jing Hao:
ARIS: A Noise Insensitive Data Pre-Processing Scheme for Data Reduction Using Influence Space. 110:1-110:39 - Xiaoying Zhang, Hong Xie, John C. S. Lui:
Improving Bandit Learning Via Heterogeneous Information Networks: Algorithms and Applications. 111:1-111:25 - Derek DeSantis, Erik Skau, Duc Phan Minh Truong, Boian S. Alexandrov:
Factorization of Binary Matrices: Rank Relations, Uniqueness and Model Selection of Boolean Decomposition. 112:1-112:24 - Xing Yang, Chen Zhang, Baihua Zheng:
Segment-Wise Time-Varying Dynamic Bayesian Network with Graph Regularization. 113:1-113:23 - Shaowei Wang, Lingling Zhang, Xuan Luo, Yi Yang, Xin Hu, Tao Qin, Jun Liu:
Computer Science Diagram Understanding with Topology Parsing. 114:1-114:20 - Jun-Gi Jang, Chaeheum Park, Changwon Jang, Geonsoo Kim, U Kang:
Finding Key Structures in MMORPG Graph with Hierarchical Graph Summarization. 115:1-115:21 - Nengjun Zhu, Jian Cao, Xinjiang Lu, Chuanren Liu, Hao Liu, Yanyan Li, Xiangfeng Luo, Hui Xiong:
Predicting a Person's Next Activity Region with a Dynamic Region-Relation-Aware Graph Neural Network. 116:1-116:23 - Haoyi Xiong, Ruosi Wan, Jian Zhao, Zeyu Chen, Xingjian Li, Zhanxing Zhu, Jun Huan:
GrOD: Deep Learning with Gradients Orthogonal Decomposition for Knowledge Transfer, Distillation, and Adversarial Training. 117:1-117:25 - Maya Benarous, Eran Toch, Irad Ben-Gal:
Synthesis of Longitudinal Human Location Sequences: Balancing Utility and Privacy. 118:1-118:27 - Michele Coscia:
Generalized Euclidean Measure to Estimate Distances on Multilayer Networks. 119:1-119:22 - Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Spectral Ranking Regression. 120:1-120:38 - Ziyue Li, Hao Yan, Fugee Tsung, Ke Zhang:
Profile Decomposition Based Hybrid Transfer Learning for Cold-Start Data Anomaly Detection. 121:1-121:28 - Yue Hu, Ao Qu, Yanbing Wang, Daniel B. Work:
Streaming Data Preprocessing via Online Tensor Recovery for Large Environmental Sensor Networks. 122:1-122:24 - Pengfei Ma, Youxi Wu, Yan Li, Lei Guo, He Jiang, Xingquan Zhu, Xindong Wu:
HW-Forest: Deep Forest with Hashing Screening and Window Screening. 123:1-123:24 - Leonardo Pellegrina, Cyrus Cousins, Fabio Vandin, Matteo Riondato:
MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining. 124:1-124:29 - Alessio Bechini, Alessandro Bondielli, José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Alessandro Renda:
A News-Based Framework for Uncovering and Tracking City Area Profiles: Assessment in Covid-19 Setting. 125:1-125:29
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