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2020 – today
- 2022
[j24]Bhavik R. Bakshi
, Matthew J. Realff, Yaman Arkun, Manfred Morari:
Computers and chemical engineering virtual special issue in honor of Professor George Stephanopoulos. Comput. Chem. Eng. 166: 107986 (2022)- 2020
- [j23]Jayashree Kalyanaraman, Yoshiaki Kawajiri, Matthew J. Realff:
Bayesian design of experiments for adsorption isotherm modeling. Comput. Chem. Eng. 135: 106774 (2020) - [j22]Gordon Hüllen, Jianyuan Zhai, Sun Hye Kim, Anshuman Sinha, Matthew J. Realff, Fani Boukouvala:
Managing uncertainty in data-driven simulation-based optimization. Comput. Chem. Eng. 136: 106519 (2020)
2010 – 2019
- 2018
- [j21]Jay H. Lee, Joohyun Shin, Matthew J. Realff:
Machine learning: Overview of the recent progresses and implications for the process systems engineering field. Comput. Chem. Eng. 114: 111-121 (2018) - 2016
- [c4]Joohyun Shin, Jay H. Lee, Matthew J. Realff:
Stochastic optimization with value function approximation for micro-grid operation. CDC 2016: 7099-7104 - 2015
- [j20]Kevin Yeh, Craig Whittaker, Matthew J. Realff, Jay H. Lee:
Two stage stochastic bilevel programming model of a pre-established timberlands supply chain with biorefinery investment interests. Comput. Chem. Eng. 73: 141-153 (2015) - [j19]Jayashree Kalyanaraman, Yanfang Fan, Ying Labreche, Ryan P. Lively, Yoshiaki Kawajiri, Matthew J. Realff:
Bayesian estimation of parametric uncertainties, quantification and reduction using optimal design of experiments for CO2 adsorption on amine sorbents. Comput. Chem. Eng. 81: 376-388 (2015) - 2014
- [j18]Kevin Yeh, Matthew J. Realff, Jay H. Lee, Craig Whittaker:
Analysis and comparison of single period single level and bilevel programming representations of a pre-existing timberlands supply chain with a new biorefinery facility. Comput. Chem. Eng. 68: 242-254 (2014) - [j17]Dexin Luo, Matthew J. Realff, Valerie M. Thomas:
Bioreactor-based fuel systems. I: Optimal production capacity considering start-up dynamics. Comput. Chem. Eng. 71: 141-153 (2014) - 2013
- [j16]Rakshita Agrawal, Matthew J. Realff, Jay H. Lee:
MILP based value backups in partially observed Markov decision processes (POMDPs) with very large or continuous action and observation spaces. Comput. Chem. Eng. 56: 101-113 (2013) - 2011
- [j15]Chanjoo Lee, Matthew J. Realff, Jane C. Ammons:
Integration of channel decisions in a decentralized reverse production system with retailer collection under deterministic non-stationary demands. Adv. Eng. Informatics 25(1): 88-102 (2011) - [j14]Jinkyung Kim, Matthew J. Realff, Jay H. Lee:
Optimal design and global sensitivity analysis of biomass supply chain networks for biofuels under uncertainty. Comput. Chem. Eng. 35(9): 1738-1751 (2011) - 2010
- [j13]Di Lu, Matthew J. Realff:
Point-based standard optimization with life cycle assessment for product design. Comput. Chem. Eng. 34(9): 1356-1364 (2010)
2000 – 2009
- 2009
- [j12]Nikolaos E. Pratikakis, Matthew J. Realff, Jay H. Lee:
Controlled exploration of state space in off-line ADP and its application to stochastic shortest path problems. Comput. Chem. Eng. 33(12): 2111-2122 (2009) - 2008
- [j11]Tiravat Assavapokee, Matthew J. Realff, Jane C. Ammons, I-Hsuan Hong:
Scenario relaxation algorithm for finite scenario-based min-max regret and min-max relative regret robust optimization. Comput. Oper. Res. 35(6): 2093-2102 (2008) - 2007
- [j10]Markus Biehl, Edmund L. Prater, Matthew J. Realff:
Assessing performance and uncertainty in developing carpet reverse logistics systems. Comput. Oper. Res. 34(2): 443-463 (2007) - 2006
- [j9]Anshul Dubey, Matthew J. Realff, Jay H. Lee, Andreas S. Bommarius:
Identifying the interacting positions of a protein using Boolean learning and support vector machines. Comput. Biol. Chem. 30(4): 268-279 (2006) - 2004
- [j8]Jing Wei, Matthew J. Realff:
Sample average approximation methods for stochastic MINLPs. Comput. Chem. Eng. 28(3): 333-346 (2004) - [j7]Jaein Choi, Matthew J. Realff, Jay H. Lee:
Dynamic programming in a heuristically confined state space: a stochastic resource-constrained project scheduling application. Comput. Chem. Eng. 28(6-7): 1039-1058 (2004) - [j6]Jaein Choi, Matthew J. Realff, Jay H. Lee:
An algorithmic framework for improving heuristic solutions: Part I. A deterministic discount coupon traveling salesman problem. Comput. Chem. Eng. 28(8): 1285-1296 (2004) - [j5]Jaein Choi, Jay H. Lee, Matthew J. Realff:
An algorithmic framework for improving heuristic solutions: Part II. A new version of the stochastic traveling salesman problem. Comput. Chem. Eng. 28(8): 1297-1307 (2004) - 2001
- [j4]Noel Rappin, Mark Guzdial, Matthew J. Realff, Pete Ludovice:
Connections as a Focus for Model-Building Learning in Engineering. Interact. Learn. Environ. 9(2): 101-142 (2001)
1990 – 1999
- 1999
- [j3]Matthew J. Realff, Paul H. Kvam, W. E. Taylor:
Combined analytical and empirical learning framework for branch and bound algorithms: the knapsack problem. Artif. Intell. Eng. 13(3): 287-300 (1999) - [j2]Brett W. Schug, Matthew J. Realff:
Propagation of Interval Values in Simple Processing Networks. INFORMS J. Comput. 11(4): 420-431 (1999) - [c3]Mark Guzdial, Matthew J. Realff, Pete Ludovice, Tom Morley, J. Clayton Kerce, Eric Lyons, Katherine E. Sukel:
Using a CSCL-Driven shift in agency to undertake educational reform. CSCL 1999: 25 - 1998
- [j1]Matthew J. Realff, George Stephanopoulos:
On the Application of Explanation-Based Learning to Acquire Control Knowledge for Branch and Bound Algorithms. INFORMS J. Comput. 10(1): 56-71 (1998) - 1997
- [c2]Noel Rappin, Mark Guzdial, Matthew J. Realff, Pete Ludovice:
Balancing Usability and Learning in an Interface. CHI 1997: 479-486 - 1995
- [c1]Cindy E. Hmelo, Jorge A. Vanegas, Matthew J. Realff, Bret Bras, Jim Mulholland, Terry Shikano, Mark Guzdial:
Technology support for collaborative learning in a problem-based curriculum for sustainable technology. CSCL 1995: 169-172
Coauthor Index
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