Abstract is missing.
- LTSpAUC: Learning Time-series Shapelets for Optimizing Partial AUCAkihiro Yamaguchi, Shigeru Maya, Kohei Maruchi, Ken Ueno. 1-9 [doi]
- Two-Sample Testing for Event Impacts in Time SeriesErik Scharwächter, Emmanuel Müller. 10-18 [doi]
- Knowledge guided diagnosis prediction via graph spatial-temporal networkYang Li, Buyue Qian, Xianli Zhang, Hui Liu. 19-27 [doi]
- Convolutional Methods for Predictive Modeling of Geospatial DataTyler Wilson, Pang-Ning Tan, Lifeng Luo. 28-36 [doi]
- Pattern detection in large temporal graphs using algebraic fingerprintsSuhas Thejaswi, Aristides Gionis. 37-45 [doi]
- Filling Missing Values on Wearable-Sensory Time Series DataSuwen Lin, Xian Wu, Gonzalo J. Martínez, Nitesh V. Chawla. 46-54 [doi]
- Meta-Learning for Size and Fit Recommendation in FashionJulia Lasserre, Abdul-Saboor Sheikh, Evgenii Koriagin, Urs Bergmann, Roland Vollgraf, Reza Shirvany. 55-63 [doi]
- BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural NetworkZhiwei Liu, Mengting Wan, Stephen Guo, Kannan Achan, Philip S. Yu. 64-72 [doi]
- Stacked Mixed-Order Graph Convolutional Networks for Collaborative FilteringHengrui Zhang, Julian McAuley. 73-81 [doi]
- BiGAN: Collaborative Filtering with Bidirectional Generative Adversarial NetworksRui Ding, Guibing Guo, Xiaochun Yan, Bowei Chen, Zhirong Liu, Xiuqiang He. 82-90 [doi]
- Multiplex Memory Network for Collaborative FilteringXunqiang Jiang, Binbin Hu, Yuan Fang 0001, Chuan Shi. 91-99 [doi]
- Content-Aware Successive Point-of-Interest RecommendationBuru Chang, Yookyung Koh, Donghyeon Park, Jaewoo Kang. 100-108 [doi]
- Deep Multi-sphere Support Vector Data DescriptionZahra Ghafoori, Christopher Leckie. 109-117 [doi]
- Finding the Sweet Spot: Batch Selection for One-Class Active LearningAdrian Englhardt, Holger Trittenbach, Dennis Vetter, Klemens Böhm. 118-126 [doi]
- "Now you see it, now you don't!" Detecting Suspicious Pattern Absences in Continuous Time SeriesVincent Vercruyssen, Wannes Meert, Jesse Davis. 127-135 [doi]
- Semantic Discord: Finding Unusual Local Patterns for Time SeriesLi Zhang, Yifeng Gao, Jessica Lin 0001. 136-144 [doi]
- Exploring the Unknown - Query Synthesis in One-Class Active LearningAdrian Englhardt, Klemens Böhm. 145-153 [doi]
- Learning a Neural-network-based Representation for Open Set RecognitionMehadi Hassen, Philip K. Chan. 154-162 [doi]
- Two-variable Dual Coordinate Descent Methods for Linear SVM with/without the Bias TermChi-Cheng Chiu, Pin-Yen Lin, Chih-Jen Lin. 163-171 [doi]
- A Predictive Optimization Framework for Hierarchical Demand MatchingNaoto Ohsaka, Tomoya Sakai, Akihiro Yabe. 172-180 [doi]
- Dual Coordinate-Descent Methods for Linear One-Class SVM and SVDDHung-Yi Chou, Pin-Yen Lin, Chih-Jen Lin. 181-189 [doi]
- Hessian based analysis of SGD for Deep Nets: Dynamics and GeneralizationXinyan Li, Qilong Gu, Yingxue Zhou, Tiancong Chen, Arindam Banerjee. 190-198 [doi]
- Second-order Optimization for Non-convex Machine Learning: an Empirical StudyPeng Xu, Fred Roosta, Michael W. Mahoney. 199-207 [doi]
- DANR: Discrepancy-aware Network RegularizationHongyuan You, Furkan Kocayusufoglu, Ambuj K. Singh. 208-216 [doi]
- An Advantage Actor-Critic Algorithm with Confidence Exploration for Open Information ExtractionGuiliang Liu, Xu Li, Mingming Sun, Ping Li. 217-225 [doi]
- What Do Questions Exactly Ask? MFAE: Duplicate Question Identification with Multi-Fusion Asking EmphasisRong Zhang, Qifei Zhou, Bo Wu, Weiping Li, Tong Mo. 226-234 [doi]
- Identifying Potential Investors with Data Driven ApproachesBo Yang, Kejun Huang, Nicholas D. Sidiropoulos. 235-243 [doi]
- Document Clustering Meets Topic Modeling with Word EmbeddingsGianni Costa, Riccardo Ortale. 244-252 [doi]
- Semi-supervised Classification using Attention-based Regularization on Coarse-resolution DataGuruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithafi, Vipin Kumar. 253-261 [doi]
- SSNN: Sentiment Shift Neural NetworkTomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi. 262-270 [doi]
- Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational DataRuocheng Guo, Jundong Li, Huan Liu 0001. 271-279 [doi]
- A Graph-Based Approach for Active Learning in RegressionHongjing Zhang, S. S. Ravi, Ian Davidson. 280-288 [doi]
- On Supervised Change Detection in Graph StreamsCharu C. Aggarwal, Yao Li, Philip S. Yu. 289-297 [doi]
- Optimal Bidding Strategy without Exploration in Real-time BiddingAritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Viswanathan Swaminathan. 298-306 [doi]
- Global-and-Local Aware Data Generation for the Class Imbalance ProblemWentao Wang, Suhang Wang, Wenqi Fan, Zitao Liu, Jiliang Tang. 307-315 [doi]
- Harmonic AlignmentJay S. Stanley III, Scott Gigante, Guy Wolf, Smita Krishnaswamy. 316-324 [doi]
- k-CoreRicky Laishram, Ahmet Erdem Sariyüce, Tina Eliassi-Rad, Ali Pinar, Sucheta Soundarajan. 325-333 [doi]
- Deep Matrix Tri-Factorization: Mining Vertex-wise Interactions in Multi-Space Attributed GraphsYi He, Sheng Chen, Thu Nguyen, Bruce A. Wade, Xindong Wu 0001. 334-342 [doi]
- Adiabatic Quantum Computing for Max-Sum DiversificationChristian Bauckhage, Rafet Sifa, Stefan Wrobel. 343-351 [doi]
- Deep Adversarial Canonical Correlation AnalysisWenqi Fan, Yao Ma 0001, Han Xu, Xiaorui Liu, Jianping Wang, Qing Li, Jiliang Tang. 352-360 [doi]
- Deep Self-representative Concept Factorization Network for Representation LearningYan Zhang, Zhao Zhang, Zheng Zhang, Mingbo Zhao, Li Zhang, Zhengjun Zha, Meng Wang. 361-369 [doi]
- Deep Neural Networks with Knowledge InstillationFan Yang, Ninghao Liu, Mengnan Du, Kaixiong Zhou, Shuiwang Ji, Xia Hu. 370-378 [doi]
- Dual-Attention Recurrent Networks for Affine Registration of Neuroimaging DataXin Dai, Xiangnan Kong, Xinyue Liu, John Boaz Lee, Constance M. Moore. 379-387 [doi]
- Efficient and Effective Graph Convolution NetworksSiwu Liu, Ji-Hwan Park, Shinjae Yoo. 388-396 [doi]
- HIDRA: Head Initialization across Dynamic targets for Robust ArchitecturesRafael Rêgo Drumond, Lukas Brinkmeyer, Josif Grabocka, Lars Schmidt-Thieme. 397-405 [doi]
- Cost-Effective and Stable Policy Optimization Algorithm for Uplift Modeling with Multiple TreatmentsYuta Saito, Hayato Sakata, Kazuhide Nakata. 406-414 [doi]
- Well-calibrated and specialized probability estimation treesUlf Johansson, Tuwe Löfström. 415-423 [doi]
- Bayesian Modeling of Intersectional Fairness: The Variance of BiasJames R. Foulds, Rashidul Islam, Kamrun Naher Keya, Shimei Pan. 424-432 [doi]
- An Instance-Specific Algorithm for Learning the Structure of Causal Bayesian Networks Containing Latent VariablesFattaneh Jabbari, Gregory F. Cooper. 433-441 [doi]
- Features or Shape? Tackling the False Dichotomy of Time Series ClassificationSara Alaee, Alireza Abdoli, Christian R. Shelton, Amy C. Murillo, Alec C. Gerry, Eamonn J. Keogh. 442-450 [doi]
- Attention-Aware Answers of the CrowdJingzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang 0001. 451-459 [doi]
- HYPA: Efficient Detection of Path Anomalies in Time Series Data on NetworksTimothy LaRock, Vahan Nanumyan, Ingo Scholtes, Giona Casiraghi, Tina Eliassi-Rad, Frank Schweitzer. 460-468 [doi]
- Fisher Deep Domain AdaptationYinghua Zhang, Yu Zhang, Ying Wei, Kun Bai, Yangqiu Song, Qiang Yang. 469-477 [doi]
- Representation Learning for Imbalanced Cross-Domain ClassificationLu Cheng, Ruocheng Guo, K. Selçuk Candan, Huan Liu. 478-486 [doi]
- A Unified Non-Negative Matrix Factorization Framework for Semi Supervised Learning on GraphsAnasua Mitra, Priyesh Vijayan, Srinivasan Parthasarathy 0001, Balaraman Ravindran. 487-495 [doi]
- Temporal Graph Kernels for Classifying Dissemination ProcessesLutz Oettershagen, Nils M. Kriege, Christopher Morris 0001, Petra Mutzel. 496-504 [doi]
- Heavy-Tailed Universality Predicts Trends in Test Accuracies for Very Large Pre-Trained Deep Neural NetworksCharles H. Martin, Michael W. Mahoney. 505-513 [doi]
- Rare Disease Prediction by Generating Quality-Assured Electronic Health RecordsFenglong Ma, Yaqing Wang, Jing Gao, Houping Xiao, Jing Zhou. 514-522 [doi]
- Dissecting Ethereum Blockchain Analytics: What We Learn from Topology and Geometry of the Ethereum Graph?Yitao Li, Umar Islambekov, Cuneyt Gurcan Akcora, Ekaterina Smirnova, Yulia R. Gel, Murat Kantarcioglu. 523-531 [doi]
- Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature ModelingArka Daw, R. Quinn Thomas, Cayelan C. Carey, Jordan S. Read, Alison P. Appling, Anuj Karpatne. 532-540 [doi]
- 2M: Dynamic Defense and Modeling of Adversarial Movement in NetworksScott Freitas, Andrew Wicker, Duen Horng (Polo) Chau, Joshua Neil. 541-549 [doi]
- Detecting Media Self-Censorship without Explicit Training DataRongrong Tao, Baojian Zhou, Feng Chen 0001, David Mares, Patrick Butler, Naren Ramakrishnan, Ryan Kennedy. 550-558 [doi]
- PhyNet: Physics Guided Neural Networks for Particle Drag Force Prediction in AssemblyNikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne. 559-567 [doi]
- k-subgraph samplingRyuta Matsuno, Aristides Gionis. 568-576 [doi]
- SPADE: Streaming PARAFAC2 DEcomposition for Large DatasetsEkta Gujral, Georgios Theocharous, Evangelos E. Papalexakis. 577-585 [doi]
- Explainable Subgraphs with Surprising Densities: A Subgroup Discovery ApproachJunning Deng, Bo Kang, Jefrey Lijffijt, Tijl De Bie. 586-594 [doi]
- Vertex-reinforced Random Walk for Network EmbeddingWenyi Xiao, Huan Zhao, Vincent W. Zheng, Yangqiu Song. 595-603 [doi]
- GRIA: Graphical Regularization for Integrative AnalysisChanggee Chang, Jihwan Oh, Qi Long. 604-612 [doi]
- On the Information Unfairness of Social NetworksZeinab S. Jalali, Weixiang Wang, Myunghwan Kim 0002, Hema Raghavan, Sucheta Soundarajan. 613-521 [doi]
- Lag-Aware Multivariate Time-Series SegmentationShigeru Maya, Akihiro Yamaguchi, Kaneharu Nishino, Ken Ueno. 622-630 [doi]
- Deep Parametric Model for Discovering Group-cohesive Functional Brain RegionsJohn Boaz Lee, Xiangnan Kong, Constance M. Moore, Nesreen K. Ahmed. 631-639 [doi]
- Deep Kernel Learning for ClusteringChieh Wu, Zulqarnain Khan, Stratis Ioannidis, Jennifer G. Dy. 640-648 [doi]
- Maximizing diversity over clustered dataGuangyi Zhang, Aristides Gionis. 649-657 [doi]
- Heterogeneous Dual-Task Clustering with Visual-Textual InformationXiaoqiang Yan, Yiqiao Mao, Shizhe Hu, Yangdong Ye. 658-666 [doi]
- NSVD: Normalized Singular Value Deviation Reveals Number of Latent Factors in Tensor DecompositionYorgos Tsitsikas, Evangelos E. Papalexakis. 667-675 [doi]