| 2019 | EmbML Tool: Supporting the use of Supervised Learning Algorithms in Low-Cost Embedded Systems. | Lucas Tsutsui da Silva, Vincius M. A. de Souza, Gustavo E. A. P. A. Batista |
| 2019 | Scaling up Prediction of Psychosis by Natural Language Processing. | Dong Si, Sunny Chieh Cheng, Ruiwen Xing, Chang Liu, Hoi Yan Wu |
| 2019 | Robust Point Set Registration with Mixture Re-Weighting Based on Relative Geometric Structures. | Yucheng Shu, Zhenlong Liao, Dan Luo |
| 2019 | Stealthy Malware Detection using RNN-Based Automated Localized Feature Extraction and Classifier. | Sanket Shukla, Gaurav Kolhe, Sai Manoj Pudukotai Dinakarrao, Setareh Rafatirad |
| 2019 | A Survey on Applications of Quantified Boolean Formulas. | Ankit Shukla, Armin Biere, Luca Pulina, Martina Seidl |
| 2019 | Reverse Auction Based Incentive Order Matching Mechanism for Real-Time Ride-Sharing. | Bing Shi, Liquan Zhu, Yikai Luo |
| 2019 | Fine-Grained Image Classification Combined with Label Description. | Xiruo Shi, Liutong Xu, Pengfei Wang |
| 2019 | Uplift Modeling for Cost Effective Coupon Marketing in C-to-C E-Commerce. | Akihiro Shimizu, Riku Togashi, Antony Lam, Nam Van Huynh |
| 2019 | Learning Linear Programs from Data. | Elias Arnold Schede, Samuel Kolb, Stefano Teso |
| 2019 | Routing Sales Territory by Solving a Multi-objective TSP Variant with Evolutionary Algorithms. | Svio Menezes Sampaio, Altino Dantas, Celso G. Camilo-Junior |
| 2019 | New Approaches to the Identification of Dependencies between Requirements. | Ralph Samer, Martin Stettinger, Mslm Atas, Alexander Felfernig, Guenther Ruhe, Gouri Deshpande |
| 2019 | Using Classical Planning in Adversarial Problems. | Pavel Rytr, Luks Chrpa, Branislav Bosansk |
| 2019 | Random Vector Functional Link with Naive Bayes for Classification Problems of Mixed Data. | Gonzalo A. Ruz, Pablo A. Henrquez |
| 2019 | Guaranteed Diversity & Quality for the Weighted CSP. | Manon Ruffini, Jelena Vucinic, Simon de Givry, George Katsirelos, Sophie Barbe, Thomas Schiex |
| 2019 | Incorporating Domain Knowledge in Learning Word Embedding. | Arpita Roy, Youngja Park, Shimei Pan |
| 2019 | Approximating Learning Curves for Imbalanced Big Data with Limited Labels. | Aaron N. Richter, Taghi M. Khoshgoftaar |
| 2019 | Fusing Vector Space Models for Domain-Specific Applications. | Laura Rettig, Julien Audiffren, Philippe Cudr-Mauroux |
| 2019 | Towards a High-Level Multi-label Classification from Complex Networks. | Vincius H. Resende, Murillo G. Carneiro |
| 2019 | Integrating an Attention Mechanism and Deep Neural Network for Detection of DGA Domain Names. | Fangli Ren, Zhengwei Jiang, Jian Liu |
| 2019 | Exploring Numerical Calculations with CalcNet. | Ashish Rana, Avleen Kaur Malhi, Kary Frmling |
| 2019 | Generating Reduced Tests for FSMs using a Search-Based Testing Approach. | Mariana Soller Ramada, Telma Woerle de Lima, Anderson da Silva Soares, Adenilso Simo |
| 2019 | Self-Learned Feature Reconstruction and Offset-Dilated Feature Fusion for Real-Time Semantic Segmentation. | Gege Qi, Lin Pan, Song Liu, Zhengding Luo, Yuesheng Zhu |
| 2019 | Focus Generator with Score Classification on Fabric Defect Detection. | Yingjie Qin, Ming Chen, Lizhe Qi, Yunquan Sun |
| 2019 | Predicting User Reported Symptoms Using a Gated Neural Network. | Lahari Poddar, Wynne Hsu, Mong-Li Lee |
| 2019 | Adversarial Attack Against DoS Intrusion Detection: An Improved Boundary-Based Method. | Xiao Peng, Weiqing Huang, Zhixin Shi |