| 2019 | 2019 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2019, Washington, DC, USA, October 5-8, 2019 Lisa Singh, Richard D. De Veaux, George Karypis, Francesco Bonchi, Jennifer Hill |
| 2019 | A Novel Multiple Classifier Generation and Combination Framework Based on Fuzzy Clustering and Individualized Ensemble Construction. Zhen Gao, Maryam Zand, Jianhua Ruan |
| 2019 | A Novel Record Linkage Interface That Incorporates Group Structure to Rapidly Collect Richer Labels. Kayla Frisoli, Benjamin LeRoy, Rebecca Nugent |
| 2019 | A Rademacher Complexity Based Method for Controlling Power and Confidence Level in Adaptive Statistical Analysis. Lorenzo De Stefani, Eli Upfal |
| 2019 | A Rapid Prototyping Approach for High Performance Density-Based Clustering. Saiyedul Islam, Sundar Balasubramaniam, Poonam Goyal, Ankit Sultana, Lakshit Bhutani, Saurabh Raje, Navneet Goyal |
| 2019 | A Real-Time Iterative Machine Learning Approach for Temperature Profile Prediction in Additive Manufacturing Processes. Arindam Paul, Mojtaba Mozaffar, Zijiang Yang, Wei-keng Liao, Alok N. Choudhary, Jian Cao, Ankit Agrawal |
| 2019 | A Study on the Impact of Data Characteristics in Imbalanced Regression Tasks. Paula Branco, Luís Torgo |
| 2019 | An Incremental Technique for Mining Coverage Patterns in Large Databases. Akhil Ralla, P. Krishna Reddy, Anirban Mondal |
| 2019 | Analyzing Driving Data using the ADAPT Distributed Analytics Platform for Connected Vehicles. Hillol Kargupta, Priyanka Kargupta |
| 2019 | Augmenting U.S. Census data on industry and occupation of respondents. Peter B. Meyer, Kendra Asher |
| 2019 | Automating Big Data Analysis Based on Deep Learning Generation by Automatic Service Composition. Incheon Paik, T. H. Akila S. Siriweera |
| 2019 | Biased Resampling Strategies for Imbalanced Spatio-Temporal Forecasting. Mariana Oliveira, Nuno Moniz, Luís Torgo, Vítor Santos Costa |
| 2019 | Bighead: A Framework-Agnostic, End-to-End Machine Learning Platform. Eli Brumbaugh, Atul Kale, Alfredo Luque, Bahador Nooraei, John Park, Krishna Puttaswamy, Kyle Schiller, Evgeny Shapiro, Conglei Shi, Aaron Siegel, Nikhil Simha, Mani Bhushan, Marie Sbrocca, Shi-Jing Yao, Patrick Yoon, Varant Zanoyan, Xiao-Han T. Zeng, Qiang Zhu, Andrew Cheong, Michelle Gu-Qian Du, Jeff Feng, Nick Handel, Andrew Hoh, Jack Hone, Brad Hunter |
| 2019 | Breast Cancer Classification using Deep Transfer Learning on Structured Healthcare Data. Akram Farhadi, David Chen, Rozalina G. McCoy, Christopher Scott, John A. Miller, Celine M. Vachon, Che Ngufor |
| 2019 | Chest Tube Management After Lung Resection Surgery using a Classifier. William Klement, Sébastien Gilbert, Donna E. Maziak, Andrew J. E. Seely, Farid M. Shamji, Sudhir R. Sundaresan, Patrick J. Villeneuve, Nathalie Japkowicz |
| 2019 | Colorwall: An Embedded Temporal Display of Bibliographic Data. Jing Ming, Li Zhang |
| 2019 | Comparison of Variable Selection Methods for Forecasting from Short Time Series. Monnie McGee, Robert A. Yaffee |
| 2019 | Constrained Multi-Objective Optimization for Automated Machine Learning. Steven Gardner, Oleg Golovidov, Joshua Griffin, Patrick Koch, Wayne Thompson, Brett Wujek, Yan Xu |
| 2019 | Cross-Media Image-Text Retrieval Combined with Global Similarity and Local Similarity. Zhixin Li, Feng Ling, Canlong Zhang |
| 2019 | Customized Interpretable Conformal Regressors. Ulf Johansson, Cecilia Sönströd, Tuwe Löfström, Henrik Boström |
| 2019 | Data Reduction for real-time bridge vibration data on Edge. Anthony Chen, Fu-Hsuan Liu, Sheng-De Wang |
| 2019 | Data-Driven Fault Diagnosis in End-of-Line Testing of Complex Products. Vitali Hirsch, Peter Reimann, Bernhard Mitschang |
| 2019 | Deep Crowd Counting In Congested Scenes Through Refine Modules. Tong Li, Chuan Wang, Xiaochun Cao |
| 2019 | Detecting Sensitive Content in Spoken Language. Rahul Tripathi, Balaji Dhamodharaswamy, Srinivasan Jagannathan, Abhishek Nandi |
| 2019 | Detection Model of Depression Based on Eye Movement Trajectory. Yifang Yuan, Qingxiang Wang |
| 2019 | Don't Cry Wolf. Philip E. Brown, Tamraparni Dasu, Yaron Kanza, Eleftherios Koutsofios, Rajat Malik, Divesh Srivastava |
| 2019 | Dynamic Graph Embedding via LSTM History Tracking. Shima Khoshraftar, Sedigheh Mahdavi, Aijun An, Yonggang Hu, Junfeng Liu |
| 2019 | Explaining the Performance of Black Box Regression Models. Inês Areosa, Luís Torgo |
| 2019 | Exploring the Relationship Between Conversation Using #MeToo and University Harassment Policies. Julianne Zech, Fransiska Dale, Lisa Singh, Jamillah Williams, Naomi Mezey |
| 2019 | FARE: Schema-Agnostic Anomaly Detection in Social Event Logs. Neil Shah |
| 2019 | FSSD - A Fast and Efficient Algorithm for Subgroup Set Discovery. Adnene Belfodil, Aimene Belfodil, Anes Bendimerad, Philippe Lamarre, Céline Robardet, Mehdi Kaytoue, Marc Plantevit |
| 2019 | Feature Enhanced Fully Convolutional Networks for Monocular Depth Estimation. Chunxiu Shi, Jie Chen, Juan Chen, Zheng Zhang |
| 2019 | Grade Prediction with Neural Collaborative Filtering. Zhiyun Ren, Xia Ning, Andrew S. Lan, Huzefa Rangwala |
| 2019 | Hierarchical LSTM Framework for Long-Term Sea Surface Temperature Forecasting. Xi Liu, Tyler Wilson, Pang-Ning Tan, Lifeng Luo |
| 2019 | Higher Order Mining for Monitoring District Heating Substations. Shahrooz Abghari, Veselka Boeva, Jens Brage, Christian Johansson, Håkan Grahn, Niklas Lavesson |
| 2019 | Improving the Personalized Recommendation in the Cold-start Scenarios. Peter Gaspar, Michal Kompan, Matej Koncal, Mária Bieliková |
| 2019 | Joint Selection of Central and Extremal Prototypes Based on Kernel Minimum Enclosing Balls. Christian Bauckhage, Rafet Sifa |
| 2019 | Learning Personalized Treatment Rules from Electronic Health Records Using Topic Modeling Feature Extraction. Peng Wu, Tianchen Xu, Yuanjia Wang |
| 2019 | Least Squares and Maximum Likelihood Estimation of Sufficient Reductions in Regressions with Matrix Valued Predictors. Ruth M. Pfeiffer, Wei Wang, Efstathia Bura |
| 2019 | Lightweight and Scalable Particle Tracking and Motion Clustering of 3D Cell Trajectories. Mojtaba Sedigh Fazli, Rachel V. Stadler, BahaaEddin AlAila, Stephen Andrew Vella, Silvia N. J. Moreno, Gary E. Ward, Shannon Quinn |
| 2019 | MARS: Memory Attention-Aware Recommender System. Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, He Huang, Chaozhuo Li, Vahid Noroozi, Bowen Dong, Philip S. Yu |
| 2019 | Machine Learning for Efficient Integration of Record Systems for Missing US Service Members. Julia D. Warnke-Sommer, Franklin E. Damann |
| 2019 | Martensite Start Temperature Predictor for Steels Using Ensemble Data Mining. Ankit Agrawal, Abhinav Saboo, Wei Xiong, Gregory B. Olson, Alok N. Choudhary |
| 2019 | Matrix Profile XVI: Efficient and Effective Labeling of Massive Time Series Archives. Frank Madrid, Shailendra Singh, Quentin Chesnais, Kerry Mauck, Eamonn J. Keogh |
| 2019 | Maximum Relevance and Minimum Redundancy Feature Selection Methods for a Marketing Machine Learning Platform. Zhenyu Zhao, Radhika Anand, Mallory Wang |
| 2019 | On Analysing Supply and Demand in Labor Markets: Framework, Model and System. Hendrik Santoso Sugiarto, Ee-Peng Lim, Ngak-Leng Sim |
| 2019 | On the Classification Consistency of High-Dimensional Sparse Neural Network. Kaixu Yang, Taps Maiti |
| 2019 | Paths to Empathy: Heterogeneous Effects of Reading Personal Stories Online. Mahnaz Roshanaei, Christopher Tran, Sylvia Morelli, Cornelia Caragea, Elena Zheleva |
| 2019 | Range Analysis and Applications to Root Causing. Zurab Khasidashvili, Adam J. Norman |
| 2019 | Residual Networks Behave Like Boosting Algorithms. Chapman Siu |
| 2019 | Semantically-Aware Statistical Metrics via Weighting Kernels. Stefano Cresci, Roberto Di Pietro, Maurizio Tesconi |
| 2019 | Sensor-Based Human Activity Mining Using Dirichlet Process Mixtures of Directional Statistical Models. Lei Fang, Juan Ye, Simon Dobson |
| 2019 | SeqScout: Using a Bandit Model to Discover Interesting Subgroups in Labeled Sequences. Romain Mathonat, Diana Nurbakova, Jean-François Boulicaut, Mehdi Kaytoue |
| 2019 | Shape Constrained Tensor Decompositions. Bethany Lusch, Eric C. Chi, J. Nathan Kutz |
| 2019 | Short Text Embedding for Clustering Based on Word and Topic Semantic Information. Ziheng Chen, Jiangtao Ren |
| 2019 | Sign Language Recognition Analysis using Multimodal Data. Al Amin Hosain, Panneer Selvam Santhalingam, Parth H. Pathak, Jana Kosecká, Huzefa Rangwala |
| 2019 | SliceNDice: Mining Suspicious Multi-Attribute Entity Groups with Multi-View Graphs. Hamed Nilforoshan, Neil Shah |
| 2019 | Topology-Based Clusterwise Regression for User Segmentation and Demand Forecasting. Rodrigo Rivera-Castro, Aleksandr Pletnev, Polina Pilyugina, Grecia Diaz, Ivan Nazarov, Wanyi Zhu, Evgeny Burnaev |
| 2019 | Towards Automated Breast Mass Classification using Deep Learning Framework. Pinaki Ranjan Sarkar, Priya Prabhakar, Deepak Mishra, Gorthi R. K. S. S. Manyam |
| 2019 | Towards Automatic Screening of Typical and Atypical Behaviors in Children With Autism. Andrew Cook, Bappaditya Mandal, Donna Berry, Matthew Johnson |
| 2019 | Truth Discovery from Multi-Sourced Text Data Based on Ant Colony Optimization. Chen Chang, Jianjun Cao, Guojun Lv, Nianfeng Weng |
| 2019 | Universal Consistency of Support Tensor Machine. Peide Li, Taps Maiti |
| 2019 | Unsupervised Drift Detector Ensembles for Data Stream Mining. Lukasz Korycki, Bartosz Krawczyk |
| 2019 | Uplift Modeling for Multiple Treatments with Cost Optimization. Zhenyu Zhao, Totte Harinen |
| 2019 | Using Machine Learning to Predict High School Student Employability - A Case Study. Aarushi Dubey, Muthukumara Mani |
| 2019 | Variable-Lag Granger Causality for Time Series Analysis. Chainarong Amornbunchornvej, Elena Zheleva, Tanya Y. Berger-Wolf |
| 2019 | VizCertify: A Framework for Secure Visual Data Exploration. Lorenzo De Stefani, Leonhard F. Spiegelberg, Eli Upfal, Tim Kraska |