Selen Cremaschi

21 papers Journal 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Metrics for evaluating stochastic outputs in machine learning models: Addressing accuracy and uncertainty. Comput. Chem. Eng. Yushi Deng, Mario R. Eden, Selen Cremaschi
2026	J	`jnl`	Special issue editorial: Selected contributions from foundations of computer aided process design (FOCAPD) 2024. Comput. Chem. Eng. Matt Bassett, Thomas A. Adams, Selen Cremaschi, Monica Zanfir
2024	J	`jnl`	A Gaussian process embedded feature selection method based on automatic relevance determination. Comput. Chem. Eng. Yushi Deng, Mario R. Eden, Selen Cremaschi
2024	J	`jnl`	Integrating reaction pathways and downstream separation network for optimal sustainable process route selection. Comput. Chem. Eng. Shuang Xu, Selen Cremaschi, Mario R. Eden, Anjan Kumar Tula
2023	J	`jnl`	A new approach to building surrogate models of high-fidelity stochastic simulations: PARIN (PARameter as Input-variable). Comput. Chem. Eng. Samira Mohammadi, Selen Cremaschi
2023	J	`jnl`	An integrated framework for sustainable process design by hybrid and intensified equipment. Comput. Chem. Eng. Shuang Xu, Selen Cremaschi, Mario R. Eden, Anjan Kumar Tula
2022	J	`jnl`	A graph theoretic approach to non-anticipativity constraint generation in multistage stochastic programs with incomplete scenario sets. Comput. Oper. Res. Zuo Zeng, Alexander Vinel, Brianna Christian, Yasuhiro Shoji, Selen Cremaschi
2022	J	`jnl`	A hybrid modeling approach to estimate liquid entrainment fraction and its uncertainty. Comput. Chem. Eng. Yushi Deng, Carlos Avila, Haijing Gao, Ivan Mantilla, Mario R. Eden, Selen Cremaschi
2022	J	`jnl`	A hybrid modeling framework using dimensional analysis for erosion predictions. Comput. Chem. Eng. Wei Dai, Samira Mohammadi, Selen Cremaschi
2022	J	`jnl`	Efficiency of uncertainty propagation methods for moment estimation of uncertain model outputs. Comput. Chem. Eng. Samira Mohammadi, Selen Cremaschi
2021	J	`jnl`	Derivative-free optimization of combinatorial problems - A case study in colorectal cancer screening. Comput. Chem. Eng. David Young, Wyatt Haney, Selen Cremaschi
2019	J	`jnl`	A bi-objective optimization approach to reducing uncertainty in pipeline erosion predictions. Comput. Chem. Eng. Wei Dai, Selen Cremaschi, Hariprasad J. Subramani, Haijing Gao
2017	J	`jnl`	Variants to a knapsack decomposition heuristic for solving R&D pipeline management problems. Comput. Chem. Eng. Brianna Christian, Selen Cremaschi
2016	J	`jnl`	Estimation of percentiles using the Kriging method for uncertainty propagation. Comput. Chem. Eng. Frits Byron Soepyan, Selen Cremaschi, Cem Sarica, Hariprasad J. Subramani, Gene E. Kouba, Haijing Gao
2015	J	`jnl`	A perspective on process synthesis: Challenges and prospects. Comput. Chem. Eng. Selen Cremaschi
2015	J	`jnl`	Data clustering for model-prediction discrepancy reduction - A case study of solids transport in oil/gas pipelines. Comput. Chem. Eng. Selen Cremaschi, Jisup Shin, Hariprasad J. Subramani
2015	J	`jnl`	Heuristic solution approaches to the pharmaceutical R&D pipeline management problem. Comput. Chem. Eng. Brianna Christian, Selen Cremaschi
2014	J	`jnl`	A new representation for modeling biomass to commodity chemicals development for chemical process industry. Comput. Chem. Eng. Ismail Fahmi, Aroonsri Nuchitprasittichai, Selen Cremaschi
2014	J	`jnl`	Adaptive sequential sampling for surrogate model generation with artificial neural networks. Comput. Chem. Eng. John Eason, Selen Cremaschi
2012	J	`jnl`	Process synthesis of biodiesel production plant using artificial neural networks as the surrogate models. Comput. Chem. Eng. Ismail Fahmi, Selen Cremaschi
2011	J	`jnl`	Optimization of CO Comput. Chem. Eng. Aroonsri Nuchitprasittichai, Selen Cremaschi