IEEE International Conference on Data Science and Advanced Analytics

DSAA

CORE rank

CORE rank (raw)

Fields of research

Data Management and Data Science · Machine Learning

Papers indexed

1,125

2014–2025

Best Machine Learning conferences Best Data Science and Information Retrieval conferences

Papers per year

2014129 peak2025

Most published authors

DSAA papers

1,125 records sourced from DBLP. Search titles, filter by year, sort by recency.

Year	Title	Authors
2019	Dynamic Graph Embedding via LSTM History Tracking.	Shima Khoshraftar, Sedigheh Mahdavi, Aijun An, Yonggang Hu, Junfeng Liu
2019	Range Analysis and Applications to Root Causing.	Zurab Khasidashvili, Adam J. Norman
2019	Analyzing Driving Data using the ADAPT Distributed Analytics Platform for Connected Vehicles.	Hillol Kargupta, Priyanka Kargupta
2019	Customized Interpretable Conformal Regressors.	Ulf Johansson, Cecilia Snstrd, Tuwe Lfstrm, Henrik Bostrm
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	Sign Language Recognition Analysis using Multimodal Data.	Al Amin Hosain, Panneer Selvam Santhalingam, Parth H. Pathak, Jana Koseck, Huzefa Rangwala
2019	Data-Driven Fault Diagnosis in End-of-Line Testing of Complex Products.	Vitali Hirsch, Peter Reimann, Bernhard Mitschang
2019	Improving the Personalized Recommendation in the Cold-start Scenarios.	Peter Gaspar, Michal Kompan, Matej Koncal, Mria Bielikov
2019	Constrained Multi-Objective Optimization for Automated Machine Learning.	Steven Gardner, Oleg Golovidov, Joshua Griffin, Patrick Koch, Wayne Thompson, Brett Wujek, Yan Xu
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	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	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	Using Machine Learning to Predict High School Student Employability - A Case Study.	Aarushi Dubey, Muthukumara Mani
2019	Semantically-Aware Statistical Metrics via Weighting Kernels.	Stefano Cresci, Roberto Di Pietro, Maurizio Tesconi
2019	Towards Automatic Screening of Typical and Atypical Behaviors in Children With Autism.	Andrew Cook, Bappaditya Mandal, Donna Berry, Matthew Johnson
2019	Short Text Embedding for Clustering Based on Word and Topic Semantic Information.	Ziheng Chen, Jiangtao Ren
2019	Data Reduction for real-time bridge vibration data on Edge.	Anthony Chen, Fu-Hsuan Liu, Sheng-De Wang
2019	Truth Discovery from Multi-Sourced Text Data Based on Ant Colony Optimization.	Chen Chang, Jianjun Cao, Guojun Lv, Nianfeng Weng
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	Don't Cry Wolf.	Philip E. Brown, Tamraparni Dasu, Yaron Kanza, Eleftherios Koutsofios, Rajat Malik, Divesh Srivastava
2019	A Study on the Impact of Data Characteristics in Imbalanced Regression Tasks.	Paula Branco, Lus Torgo
2019	FSSD - A Fast and Efficient Algorithm for Subgroup Set Discovery.	Adnene Belfodil, Aimene Belfodil, Anes Bendimerad, Philippe Lamarre, Cline Robardet, Mehdi Kaytoue, Marc Plantevit
2019	Joint Selection of Central and Extremal Prototypes Based on Kernel Minimum Enclosing Balls.	Christian Bauckhage, Rafet Sifa
2019	Explaining the Performance of Black Box Regression Models.	Ins Areosa, Lus Torgo

626–650 of 1,125← Previous Next →

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