Adolfo Escobedo

Yoo, Y., Escobedo, A. R., Kemmer, R., & Chiou, E. (2024). Elicitation and aggregation of multimodal estimates improve wisdom of crowd effects on ordering tasks. SCIENTIFIC REPORTS, 14(1). https://doi.org/10.1038/s41598-024-52176-3

Akbari, S., & Escobedo, A. R. (2023). Approximate Condorcet Partitioning: Solving large-scale rank aggregation problems. Computers & Operations Research. https://doi.org/10.1016/j.cor.2023.106164

Bhogaraju, H., Jain, A., Jaiswal, J., & Escobedo, A. R. (2023). Assessing the Effects of Expanded Input Elicitation and Machine Learning-Based Priming on Crowd Stock Prediction. https://doi.org/10.1007/978-3-031-41774-0_1

Akbari, S., & Escobedo, A. R. (2023). Beyond kemeny rank aggregation: A parameterizable-penalty framework for robust ranking aggregation with ties. Omega. https://doi.org/10.1016/j.omega.2023.102893

Escobedo, A. R., & Yasmin, R. (2023). Derivations of large classes of facet defining inequalities of the weak order polytope using ranking structures. JOURNAL OF COMBINATORIAL OPTIMIZATION, 46(3). https://doi.org/10.1007/s10878-023-01075-w

Escobedo, A. R. (2023, September 6). Exact Matrix Factorization Updates for Nonlinear Programming. INFORMS JOURNAL ON COMPUTING, Vol. 9. https://doi.org/10.1287/ijoc.2021.0331

Escobedo, A. (2023). Software for "Exact Matrix Factorization Updates for Nonlinear Programming". INFORMS Journal on Computing. https://doi.org/10.1287/ijoc.2021.0331.cd

An axiomatic distance methodology for aggregating multimodal evaluations. (2022). To Appear in Information Sciences.

Yoo, Y., & Escobedo, A. R. (2021). A New Binary Programming Formulation and Social Choice Property for Kemeny Rank Aggregation. Decision Analysis, 18(4), 296–320. https://doi.org/10.1287/deca.2021.0433

Kassem, Z., Gudivada, V. S., Escobedo, A. R., & Campbell, W. F. (2021). A decision support tool for calculating waste collection needs. Institute of Industrial and Systems Engineers (IISE) Annual Conference, 944–949. Retrieved from https://www.proquest.com/openview/0fb7ed2195ee0bdaa5e4ed7bb1b35a70/1?pq-origsite=gscholar&cbl=51908

Enhancing image classification capabilities of crowdsourcing-based methods through expanded input elicitation. (2021). AAAI Conference on Human Computation and Crowdsourcing (HCOMP). Retrieved from https://ojs.aaai.org/index.php/HCOMP/article/view/18949

Lower bounds on Kemeny rank aggregation with non-strict rankings. (2021). IEEE Symposium Series on Computational Intelligence (SSCI).

Skolfield, J. K., & Escobedo, A. R. (2021). Operations research in optimal power flow: A guide to recent and emerging methodologies and applications. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2021.10.003

Skolfield, J. K., Escobedo, A. R., & Ramirez-Vergara, J. (2021). Transmission and capacity expansion planning against rising temperatures: A case study in Arizona. ArXiv. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85109516110&partnerID=MN8TOARS

Skolfield, J. K., Escobedo, A. R., & Ramirez-Vergara, J. (2021). Transmission and capacity expansion planning against rising temperatures: A case study in Arizona. Institute of Industrial and Systems Engineers (IISE) Annual Conference, 872–877. Retrieved from https://www.proquest.com/openview/ec45bb33740ee0a46302982da4e89313/1?pq-origsite=gscholar&cbl=51908

Kyle Skolfield, J., Yasmin, R., Escobedo, A. R., & Huie, L. M. (2020). A Comparison of Axiomatic Distance-Based Collective Intelligence Methods for Wireless Sensor Network State Estimation in the Presence of Information Injection. IEEE World Forum on Internet of Things, WF-IoT 2020 - Symposium Proceedings. https://doi.org/10.1109/WF-IoT48130.2020.9221131

Yoo, Y., Escobedo, A. R., & Skolfield, J. K. (2020). A new correlation coefficient for comparing and aggregating non-strict and incomplete rankings. European Journal of Operational Research, 285(3), 1025–1041. https://doi.org/10.1016/j.ejor.2020.02.027

Escobedo, A. R., & Yasmin, R. (2020). Derivations of large classes of facet defining inequalities of the weak order polytope using ranking structures. ArXiv. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85104428542&partnerID=MN8TOARS

Enhancing collective estimates by aggregating cardinal and ordinal inputs. (2020). AAAI Conference on Human Computation and Crowdsourcing (HCOMP). Retrieved from https://ojs.aaai.org//index.php/HCOMP/article/view/7465

Zhang, Y., Bansal, M., & Escobedo, A. R. (2020). Risk-neutral and risk-averse transmission switching for load shed recovery with uncertain renewable generation and demand. IET Generation, Transmission and Distribution, 14(21), 4936–4945. https://doi.org/10.1049/iet-gtd.2020.0964

Kyle Skolfield, J., Escobar, L. M., & Escobedo, A. R. (2019). Derivation and generation of path-based valid inequalities for transmission expansion planning. ArXiv. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85093423715&partnerID=MN8TOARS

Lourenco, C., Escobedo, A. R., Moreno-Centeno, E., & Davis, T. A. (2019). Exact solution of sparse linear systems via left-looking roundoff-error-free LU factorization in time proportional to arithmetic work. SIAM Journal on Matrix Analysis and Applications, 40(2), 609–638. https://doi.org/10.1137/18M1202499

Escobar, L. M., Escobedo, A. R., Escobar, D., & Romero, R. (2018). Bus-Angle Difference Structural Cuts for Transmission System Expansion Planning with L-l Reliability. 2018 IEEE Electrical Power and Energy Conference, EPEC 2018. https://doi.org/10.1109/EPEC.2018.8598449

Escobedo, A. R., Moreno-Centeno, E., & Lourenco, C. (2018). Solution of dense linear systems via roundoff-error-free factorization algorithms: Theoretical connections and computational comparisons. ACM Transactions on Mathematical Software, 44(4), 1–24. https://doi.org/10.1145/3199571

Escobedo, A. R., & Moreno-Centeno, E. (2017). Roundoff-error-free basis updates of lu factorizations for the efficient validation of optimality certificates. SIAM Journal on Matrix Analysis and Applications, 38(3), 829–853. https://doi.org/10.1137/16M1089630

Moreno-Centeno, E., & Escobedo, A. R. (2016). Axiomatic aggregation of incomplete rankings. IIE Transactions (Institute of Industrial Engineers), 48(6), 475–488. https://doi.org/10.1080/0740817X.2015.1109737

Escobedo, A. R., & Moreno-Centeno, E. (2015). Roundoff-error-free algorithms for solving linear systems via cholesky and LU factorizations. INFORMS Journal on Computing, 27(4), 677–689. https://doi.org/10.1287/ijoc.2015.0653

Escobedo, A. R., Moreno-Centeno, E., & Hedman, K. W. (2014). Topology control for load shed recovery. IEEE Transactions on Power Systems, 29(2), 908–916. https://doi.org/10.1109/TPWRS.2013.2286009