Get started
Author

K. Selçuk Candan

Observed names: Candan, K. Selcuk, Candan, K. Selçuk, K. Selcuk Candan
Observed institution: Arizona State University
ORCID: 0000-0003-4977-6646
Observed ORCID: 0000-0003-4977-6646
OpenAlex ID: A5123741809
A comparative study of simulation-based inference methods for epidemic models with identifiability considerations
2026 · Geunsoo Jang, K. Selçuk Candan, et al. · PLoS Computational Biology · 1
PDF
Report on the Workshop on Benchmarking Causal Models (CausalBench) 2026
2026 · K. Selçuk Candan, Ruocheng Guo, et al. · ACM International Conference on Web Search and Data Mining (WSDM) · 1
CauSTream: Causal Spatio-Temporal Representation Learning for Streamflow Forecasting
2025 · Shu Wan, Reepal Shah, et al. · IEEE International Conference on Big Data (BigData) · 1
PDF
PYSIRTEM: An Efficient Modular Simulation Platform for the Analysis of Pandemic Scenarios
2025 · Preetom Biswas, Giulia Pedrielli, et al. · Winter Simulation Conference · 1
PDF
The Good, the Bad, and the Ugly of Markov Boundary for Tabular Prediction
2026 · Shu Wan, Abhinav Gorantla, et al. · ACM International Conference on Information and Knowledge Management (CIKM)
VoS: Variate Ordering Strategies for Skyline Query Optimization
2026 · Gorantla, Abhinav, Mandal, Pratanu, et al. · arXiv (Cornell University)
PDF
Adaptive COVID-19 Trajectory Forecasting Using MAB-Inspired Ensemble Weighting
2026 · Karami, Hamed, Anton, Javier Redondo, et al. · arXiv (Cornell University)
PDF
Challenges in Sustaining Data Management Research in the GenAI Era
2026 · Sharad Mehrotra, K. Selçuk Candan · ACM SIGMOD International Conference on Management of Data (SIGMOD)
Causal Search for Skylines (CSS): Causally-Informed Selective Data De-Correlation
2026 · Pratanu Mandal, Abhinav Gorantla, et al. · Proceedings of the ACM on Management of Data
DeepMapping++: Balancing Efficiency and Storage for Lossless Lookup and Approximate Range Aggregation
2026 · Hong Guan, Lixi Zhou, et al. · IEEE Transactions on Knowledge and Data Engineering
CausalBench+: Causal-Informed Machine Learning Benchmarking
2026 · Ahmet Kapkic, Pratanu Mandal, et al. · ACM International Conference on Web Search and Data Mining (WSDM)
PDF
Causality by Abstraction: Symbolic Rule Learning in Multivariate Timeseries with Large Language Models
2026 · Biswas, Preetom, Pedrielli, Giulia, et al. · arXiv (Cornell University)
PDF
Workshop on Benchmarking Causal Models (CausalBench)
2026 · K. Selcuk Candan, Huan Liu, et al. · ACM International Conference on Web Search and Data Mining (WSDM)
Gradient Guided Parameter Space Sampling for Knowledge Discovery With Limited Budgets
2026 · Javier Redondo Antón, Maria Luisa Sapino, et al. · IEEE Access
Domain Disentanglement for Epidemic Onset Forecasting: Knowledge Transfer from Data-Rich to Data-Poor Communities
2026 · Fahim Tasneema Azad, K. Selçuk Candan, et al. · SSRN Electronic Journal
Works count: 15
Citation count: 4
H-index: 1
I10-index:
Year
Topic
Type