Abstract is missing.
- Maximum Margin Separations in Finite Closure SystemsFlorian Seiffarth, Tamás Horváth 0001, Stefan Wrobel. 3-18 [doi]
- Discovering Outstanding Subgroup Lists for Numeric Targets Using MDLHugo Manuel Proença, Peter Grünwald, Thomas Bäck, Matthijs van Leeuwen. 19-35 [doi]
- A Relaxation-Based Approach for Mining Diverse Closed PatternsArnold Hien, Samir Loudni, Noureddine Aribi, Yahia Lebbah, Mohammed El Amine Laghzaoui, Abdelkader Ouali, Albrecht Zimmermann. 36-54 [doi]
- OMBA: User-Guided Product Representations for Online Market Basket AnalysisAmila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie. 55-71 [doi]
- Online Binary Incomplete Multi-view ClusteringLongqi Yang, LiangLiang Zhang, Yuhua Tang. 75-90 [doi]
- Utilizing Structure-Rich Features to Improve ClusteringBenjamin Schelling, Lena Greta Marie Bauer, Sahar Behzadi, Claudia Plant. 91-107 [doi]
- Simple, Scalable, and Stable Variational Deep ClusteringLele Cao, Sahar Asadi, Wenfei Zhu, Christian Schmidli, Michael Sjöberg. 108-124 [doi]
- Gauss Shift: Density Attractor Clustering Faster Than Mean ShiftRichard Leibrandt, Stephan Günnemann. 125-142 [doi]
- Privacy-Preserving Decision Trees Training and PredictionAdi Akavia, Max Leibovich, Yehezkel S. Resheff, Roey Ron, Moni Shahar, Margarita Vald. 145-161 [doi]
- Poisoning Attacks on Algorithmic FairnessDavid Solans, Battista Biggio, Carlos Castillo 0001. 162-177 [doi]
- SpecGreedy: Unified Dense Subgraph DetectionWenjie Feng, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng. 181-197 [doi]
- Networked Point Process Models Under the Lens of ScrutinyGuilherme R. Borges, Flavio Figueiredo, Renato M. Assunção, Pedro O. S. Vaz de Melo. 198-215 [doi]
- FB2vec: A Novel Representation Learning Model for Forwarding Behaviors on Online Social NetworksLi Ma, Mingding Liao, Xiaofeng Gao, Guoze Zhang, Qiang Yan, Guihai Chen. 216-231 [doi]
- A Framework for Deep Quantification LearningLei Qi, Mohammed Khaleel, Wallapak Tavanapong, Adisak Sukul, David A. M. Peterson. 232-248 [doi]
- PROMO for Interpretable Personalized Social Emotion MiningJason (Jiasheng) Zhang, Dongwon Lee. 249-265 [doi]
- Progressive Supervision for Node ClassificationYiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi. 266-281 [doi]
- Modeling Dynamic Heterogeneous Network for Link Prediction Using Hierarchical Attention with Temporal RNNHansheng Xue, Luwei Yang, Wen Jiang, Yi Wei, Yi Hu, Yu Lin. 282-298 [doi]
- GIKT: A Graph-Based Interaction Model for Knowledge TracingYang Yang, Jian Shen, Yanru Qu, Yunfei Liu, Kerong Wang, Yaoming Zhu, Weinan Zhang 0001, Yong Yu 0001. 299-315 [doi]
- Simple and Effective Graph Autoencoders with One-Hop Linear ModelsGuillaume Salha, Romain Hennequin, Michalis Vazirgiannis. 319-334 [doi]
- Sparse Separable Nonnegative Matrix FactorizationNicolas Nadisic, Arnaud Vandaele, Jeremy E. Cohen, Nicolas Gillis. 335-350 [doi]
- Robust Domain Adaptation: Representations, Weights and Inductive BiasVictor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot. 353-377 [doi]
- Target to Source Coordinate-Wise Adaptation of Pre-trained ModelsLuxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki. 378-394 [doi]
- Unsupervised Multi-source Domain Adaptation for RegressionGuillaume Richard, Antoine de Mathelin, Georges Hébrail, Mathilde Mougeot, Nicolas Vayatis. 395-411 [doi]
- Open Set Domain Adaptation Using Optimal TransportMarwa Kechaou, Romain Hérault, Mokhtar Z. Alaya, Gilles Gasso. 412-435 [doi]
- Revisiting Wedge Sampling for Budgeted Maximum Inner Product SearchStephan S. Lorenzen, Ninh Pham. 439-455 [doi]
- Modeling Winner-Take-All Competition in Sparse Binary ProjectionsWenye Li. 456-472 [doi]
- 0-Sampling over Stream Data with Near-DuplicatesDingzhu Lurong, Yanlong Wen, Jiangwei Zhang, Xiaojie Yuan. 473-489 [doi]
- Spatio-Temporal Tensor Sketching via Adaptive SamplingJing Ma, Qiuchen Zhang, Joyce C. Ho, Li Xiong 0001. 490-506 [doi]
- Orthogonal Mixture of Hidden Markov ModelsNegar Safinianaini, Camila P. E. de Souza, Henrik Boström, Jens Lagergren. 509-525 [doi]
- Poisson Graphical Granger Causality by Minimum Message LengthKaterina Hlavácková-Schindler, Claudia Plant. 526-541 [doi]
- Counterfactual Propagation for Semi-supervised Individual Treatment Effect EstimationShonosuke Harada, Hisashi Kashima. 542-558 [doi]
- Real-Time Fine-Grained Freeway Traffic State Estimation Under Sparse ObservationYangxin Lin, Yang Zhou, Shengyue Yao, Fan Ding, Ping Wang. 561-577 [doi]
- Revisiting Convolutional Neural Networks for Citywide Crowd Flow AnalyticsYuxuan Liang, Kun Ouyang, Yiwei Wang, Ye Liu, Junbo Zhang, Yu Zheng, David S. Rosenblum. 578-594 [doi]
- RLTS: Robust Learning Time-Series ShapeletsAkihiro Yamaguchi, Shigeru Maya, Ken Ueno. 595-611 [doi]
- Disentangled Sticky Hierarchical Dirichlet Process Hidden Markov ModelDing Zhou, Yuanjun Gao, Liam Paninski. 612-627 [doi]
- Predicting Future Classifiers for Evolving Non-linear Decision BoundariesKanishka Khandelwal, Devendra Dhaka, Vivek Barsopia. 628-643 [doi]
- Parameterless Semi-supervised Anomaly Detection in Univariate Time SeriesOleg Iegorov, Sebastian Fischmeister. 644-659 [doi]
- The Temporal Dictionary Ensemble (TDE) Classifier for Time Series ClassificationMatthew Middlehurst, James Large, Gavin C. Cawley, Anthony J. Bagnall. 660-676 [doi]
- Incremental Training of a Recurrent Neural Network Exploiting a Multi-scale Dynamic MemoryAntonio Carta, Alessandro Sperduti, Davide Bacciu. 677-693 [doi]
- Flexible Recurrent Neural NetworksAnne Lambert, Françoise Le Bolzer, François Schnitzler. 694-709 [doi]
- Z-Embedding: A Spectral Representation of Event Intervals for Efficient Clustering and ClassificationZed Lee, Sarunas Girdzijauskas, Panagiotis Papapetrou. 710-726 [doi]
- Neural Cross-Domain Collaborative Filtering with Shared EntitiesVijaikumar M, Shirish K. Shevade, M. Narasimha Murty. 729-745 [doi]
- NoisyCUR: An Algorithm for Two-Cost Budgeted Matrix CompletionDong Hu, Alex Gittens, Malik Magdon-Ismail. 746-761 [doi]