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This graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Hulot, P., Aloise, D., & Jena, S. D. (2018, August). Towards Station-Level Demand Prediction for Effective Rebalancing in Bike-Sharing Systems [Paper]. 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, London, UK. External link
Jena, S. D., Lodi, A., & Sole, C. (2022). On the Estimation of Discrete Choice Models to Capture Irrational Customer Behaviors. INFORMS Journal on Computing, 34(3), 1606-1625. External link
Jena, S. D., Lodi, A., & Sole, C. (2020). On the estimation of discrete choice models to capture irrational customer behaviors. (Technical Report n° CIRRELT-2020-32). External link
Jena, S. D., Lodi, A., Palmer, H., & Sole, C. (2020). A Partially Ranked Choice Model for Large-Scale Data-Driven Assortment Optimization. INFORMS Journal on Optimization, 2(4), 297-319. External link
Jena, S. D., Lodi, A., & Palmer, H. (2017). Partially-ranked choice models for data-driven assortment optimization. (Technical Report n° DS4DM-2017-011). External link
Liang, J., Silva, M. C. M., Aloise, D., & Jena, S. D. (2024). Dynamic rebalancing for Bike-sharing systems under inventory interval and target predictions. EURO Journal on Transportation and Logistics, 13, 19 pages. External link
Liang, J., Jena, S. D., & Lodi, A. (2024). Dynamic rebalancing optimization for bike-sharing systems: A modeling framework and empirical comparison. European Journal of Operational Research, 317(3), 875-889. External link
Silva, M. C. M., Aloise, D., & Jena, S. D. (2024). Data-driven prioritization strategies for inventory rebalancing in bike-sharing systems. Omega, 129, 103141 (15 pages). Available
Silva, M. C. M., Aloise, D., & Jena, S. D. (2024). On the Simultaneous Computation of Target Inventories and Intervals for Bimodal Bike-Sharing Systems. Transportation Engineering, 16, 100226 (9 pages). Available