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ORCID6th DSAA 2019: Washington, DC, USA
- Lisa Singh, Richard D. De Veaux, George Karypis, Francesco Bonchi, Jennifer Hill:
2019 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2019, Washington, DC, USA, October 5-8, 2019. IEEE 2019, ISBN 978-1-7281-4493-1
Research and Special Session Tracks
- Zhiyun Ren, Xia Ning, Andrew S. Lan, Huzefa Rangwala:
Grade Prediction with Neural Collaborative Filtering. 1-10 - Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, He Huang, Chaozhuo Li, Vahid Noroozi, Bowen Dong, Philip S. Yu:
MARS: Memory Attention-Aware Recommender System. 11-20 - Chainarong Amornbunchornvej
, Elena Zheleva, Tanya Y. Berger-Wolf:
Variable-Lag Granger Causality for Time Series Analysis. 21-30 - Chapman Siu:
Residual Networks Behave Like Boosting Algorithms. 31-40 - Xi Liu, Tyler Wilson, Pang-Ning Tan, Lifeng Luo:
Hierarchical LSTM Framework for Long-Term Sea Surface Temperature Forecasting. 41-50 - Stefano Cresci, Roberto Di Pietro, Maurizio Tesconi:
Semantically-Aware Statistical Metrics via Weighting Kernels. 51-60 - Ziheng Chen, Jiangtao Ren:
Short Text Embedding for Clustering Based on Word and Topic Semantic Information. 61-70 - Lorenzo De Stefani, Eli Upfal:
A Rademacher Complexity Based Method for Controlling Power and Confidence Level in Adaptive Statistical Analysis. 71-80 - Romain Mathonat, Diana Nurbakova, Jean-François Boulicaut, Mehdi Kaytoue:
SeqScout: Using a Bandit Model to Discover Interesting Subgroups in Labeled Sequences. 81-90 - Adnene Belfodil, Aimene Belfodil, Anes Bendimerad, Philippe Lamarre, Céline Robardet, Mehdi Kaytoue, Marc Plantevit:
FSSD - A Fast and Efficient Algorithm for Subgroup Set Discovery. 91-99 - Mariana Oliveira, Nuno Moniz, Luís Torgo, Vítor Santos Costa:
Biased Resampling Strategies for Imbalanced Spatio-Temporal Forecasting. 100-109 - Inês Areosa, Luís Torgo:
Explaining the Performance of Black Box Regression Models. 110-118 - Shima Khoshraftar, Sedigheh Mahdavi, Aijun An, Yonggang Hu, Junfeng Liu:
Dynamic Graph Embedding via LSTM History Tracking. 119-127 - Ruth M. Pfeiffer, Wei Wang, Efstathia Bura:
Least Squares and Maximum Likelihood Estimation of Sufficient Reductions in Regressions with Matrix Valued Predictors. 135-144 - Zhixin Li, Feng Ling, Canlong Zhang:
Cross-Media Image-Text Retrieval Combined with Global Similarity and Local Similarity. 145-153 - Lei Fang, Juan Ye, Simon Dobson:
Sensor-Based Human Activity Mining Using Dirichlet Process Mixtures of Directional Statistical Models. 154-163 - Chen Chang, Jianjun Cao, Guojun Lv, Nianfeng Weng:
Truth Discovery from Multi-Sourced Text Data Based on Ant Colony Optimization. 164-172 - Kaixu Yang, Taps Maiti:
On the Classification Consistency of High-Dimensional Sparse Neural Network. 173-182 - Tong Li, Chuan Wang, Xiaochun Cao:
Deep Crowd Counting In Congested Scenes Through Refine Modules. 183-192 - Paula Branco, Luís Torgo:
A Study on the Impact of Data Characteristics in Imbalanced Regression Tasks. 193-202 - Al Amin Hosain, Panneer Selvam Santhalingam, Parth H. Pathak, Jana Kosecká, Huzefa Rangwala:
Sign Language Recognition Analysis using Multimodal Data. 203-210 - Akhil Ralla, P. Krishna Reddy, Anirban Mondal:
An Incremental Technique for Mining Coverage Patterns in Large Databases. 211-220 - Ulf Johansson, Cecilia Sönströd, Tuwe Löfström, Henrik Boström:
Customized Interpretable Conformal Regressors. 221-230 - Zhen Gao, Maryam Zand, Jianhua Ruan:
A Novel Multiple Classifier Generation and Combination Framework Based on Fuzzy Clustering and Individualized Ensemble Construction. 231-240 - Lorenzo De Stefani, Leonhard F. Spiegelberg, Eli Upfal, Tim Kraska:
VizCertify: A Framework for Secure Visual Data Exploration. 241-251 - Christian Bauckhage, Rafet Sifa:
Joint Selection of Central and Extremal Prototypes Based on Kernel Minimum Enclosing Balls. 252-259 - Saiyedul Islam, Sundar Balasubramaniam, Poonam Goyal, Ankit Sultana, Lakshit Bhutani, Saurabh Raje, Navneet Goyal:
A Rapid Prototyping Approach for High Performance Density-Based Clustering. 260-269 - Chunxiu Shi, Jie Chen, Juan Chen, Zheng Zhang:
Feature Enhanced Fully Convolutional Networks for Monocular Depth Estimation. 270-276 - Akram Farhadi, David Chen, Rozalina G. McCoy, Christopher Scott, John A. Miller, Celine M. Vachon, Che Ngufor:
Breast Cancer Classification using Deep Transfer Learning on Structured Healthcare Data. 277-286 - Bethany Lusch, Eric C. Chi, J. Nathan Kutz:
Shape Constrained Tensor Decompositions. 287-297 - Zurab Khasidashvili, Adam J. Norman:
Range Analysis and Applications to Root Causing. 298-307 - Lukasz Korycki, Bartosz Krawczyk:
Unsupervised Drift Detector Ensembles for Data Stream Mining. 317-325
Application Track
- Rodrigo Rivera-Castro, Aleksandr Pletnev, Polina Pilyugina, Grecia Diaz, Ivan Nazarov, Wanyi Zhu, Evgeny Burnaev:
Topology-Based Clusterwise Regression for User Segmentation and Demand Forecasting. 326-336 - Neil Shah:
FARE: Schema-Agnostic Anomaly Detection in Social Event Logs. 337-350 - Hamed Nilforoshan, Neil Shah:
SliceNDice: Mining Suspicious Multi-Attribute Entity Groups with Multi-View Graphs. 351-363 - Steven Gardner, Oleg Golovidov, Joshua Griffin, Patrick Koch, Wayne Thompson, Brett Wujek, Yan Xu:
Constrained Multi-Objective Optimization for Automated Machine Learning. 364-373 - Rahul Tripathi, Balaji Dhamodharaswamy, Srinivasan Jagannathan, Abhishek Nandi:
Detecting Sensitive Content in Spoken Language. 374-381 - Shahrooz Abghari, Veselka Boeva, Jens Brage, Christian Johansson, Håkan Grahn, Niklas Lavesson:
Higher Order Mining for Monitoring District Heating Substations. 382-391 - Peng Wu, Tianchen Xu, Yuanjia Wang:
Learning Personalized Treatment Rules from Electronic Health Records Using Topic Modeling Feature Extraction. 392-402 - Mojtaba Sedigh Fazli, Rachel V. Stadler, BahaaEddin AlAila, Stephen Andrew Vella, Silvia N. J. Moreno, Gary E. Ward, Shannon Quinn:
Lightweight and Scalable Particle Tracking and Motion Clustering of 3D Cell Trajectories. 412-421 - Zhenyu Zhao, Totte Harinen:
Uplift Modeling for Multiple Treatments with Cost Optimization. 422-431 - William Klement, Sébastien Gilbert, Donna E. Maziak, Andrew J. E. Seely, Farid M. Shamji, Sudhir R. Sundaresan, Patrick J. Villeneuve, Nathalie Japkowicz:
Chest Tube Management After Lung Resection Surgery using a Classifier. 432-441 - Zhenyu Zhao, Radhika Anand, Mallory Wang:
Maximum Relevance and Minimum Redundancy Feature Selection Methods for a Marketing Machine Learning Platform. 442-452 - Pinaki Ranjan Sarkar, Priya Prabhakar, Deepak Mishra, Gorthi R. K. S. S. Manyam:
Towards Automated Breast Mass Classification using Deep Learning Framework. 453-462 - Frank Madrid, Shailendra Singh, Quentin Chesnais, Kerry Mauck, Eamonn J. Keogh:
Matrix Profile XVI: Efficient and Effective Labeling of Massive Time Series Archives. 463-472 - Jing Ming, Li Zhang:
Colorwall: An Embedded Temporal Display of Bibliographic Data. 482-491 - Vitali Hirsch, Peter Reimann, Bernhard Mitschang:
Data-Driven Fault Diagnosis in End-of-Line Testing of Complex Products. 492-503 - Andrew Cook, Bappaditya Mandal, Donna Berry, Matthew Johnson:
Towards Automatic Screening of Typical and Atypical Behaviors in Children With Autism. 504-510 - Hendrik Santoso Sugiarto, Ee-Peng Lim, Ngak-Leng Sim:
On Analysing Supply and Demand in Labor Markets: Framework, Model and System. 511-520 - Ankit Agrawal, Abhinav Saboo, Wei Xiong, Gregory B. Olson, Alok N. Choudhary:
Martensite Start Temperature Predictor for Steels Using Ensemble Data Mining. 521-530 - Monnie McGee, Robert A. Yaffee:
Comparison of Variable Selection Methods for Forecasting from Short Time Series. 531-540 - Arindam Paul, Mojtaba Mozaffar, Zijiang Yang, Wei-keng Liao, Alok N. Choudhary, Jian Cao, Ankit Agrawal:
A Real-Time Iterative Machine Learning Approach for Temperature Profile Prediction in Additive Manufacturing Processes. 541-550 - 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:
Bighead: A Framework-Agnostic, End-to-End Machine Learning Platform. 551-560 - Julia D. Warnke-Sommer, Franklin E. Damann:
Machine Learning for Efficient Integration of Record Systems for Missing US Service Members. 561-569 - Mahnaz Roshanaei, Christopher Tran, Sylvia Morelli, Cornelia Caragea, Elena Zheleva:
Paths to Empathy: Heterogeneous Effects of Reading Personal Stories Online. 570-579 - Kayla Frisoli, Benjamin LeRoy, Rebecca Nugent:
A Novel Record Linkage Interface That Incorporates Group Structure to Rapidly Collect Richer Labels. 580-589 - Hillol Kargupta, Priyanka Kargupta:
Analyzing Driving Data using the ADAPT Distributed Analytics Platform for Connected Vehicles. 590-599
Poster Papers
- Peter B. Meyer, Kendra Asher:
Augmenting U.S. Census data on industry and occupation of respondents. 600-601 - Anthony Chen, Fu-Hsuan Liu, Sheng-De Wang:
Data Reduction for real-time bridge vibration data on Edge. 602-603 - Aarushi Dubey, Muthukumara Mani:
Using Machine Learning to Predict High School Student Employability - A Case Study. 604-605 - Peter Gaspar, Michal Kompan, Matej Koncal, Mária Bieliková:
Improving the Personalized Recommendation in the Cold-start Scenarios. 606-607 - Peide Li, Taps Maiti:
Universal Consistency of Support Tensor Machine. 608-609 - Incheon Paik, T. H. Akila S. Siriweera:
Automating Big Data Analysis Based on Deep Learning Generation by Automatic Service Composition. 610-611 - Yifang Yuan, Qingxiang Wang:
Detection Model of Depression Based on Eye Movement Trajectory. 612-613 - Julianne Zech, Fransiska Dale, Lisa Singh, Jamillah Williams, Naomi Mezey:
Exploring the Relationship Between Conversation Using #MeToo and University Harassment Policies. 614-615 - Philip E. Brown, Tamraparni Dasu, Yaron Kanza, Eleftherios Koutsofios, Rajat Malik, Divesh Srivastava:
Don't Cry Wolf. 616-617
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