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Jorge E. Fresneda
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2020 – today
- 2024
- [c1]David Eisenberg, Tanmoy Sarkar Pias, Jorge E. Fresneda, Jerry Fjermestad:
Neuromarketing Techniques to Enhance Consumer Preference Prediction. HICSS 2024: 923-932 - 2023
- [j7]Yanni Ping, Chelsey Hill, Yun Zhu, Jorge E. Fresneda:
Antecedents and consequences of the key opinion leader status: an econometric and machine learning approach. Electron. Commer. Res. 23(3): 1459-1484 (2023) - 2022
- [j6]Jorge E. Fresneda, Jeremy Hui, Chelsey Hill:
Market segmentation in the emoji era. Commun. ACM 65(4): 105-112 (2022) - [j5]Tanmoy Sarkar Pias, David Eisenberg, Jorge Eduardo Fresneda Fernandez:
Accuracy Improvement of Vehicle Recognition by Using Smart Device Sensors. Sensors 22(12): 4397 (2022) - [j4]Sumya Akter, Rumman Ahmed Prodhan, Tanmoy Sarkar Pias, David Eisenberg, Jorge Eduardo Fresneda Fernandez:
M1M2: Deep-Learning-Based Real-Time Emotion Recognition from Neural Activity. Sensors 22(21): 8467 (2022) - 2020
- [j3]Jorge E. Fresneda, David Gefen:
Gazing at the stars is not enough, look at the specific word entropy, too! Inf. Manag. 57(8): 103388 (2020)
2010 – 2019
- 2019
- [j2]Jorge E. Fresneda, David Gefen:
A semantic measure of online review helpfulness and the importance of message entropy. Decis. Support Syst. 125 (2019) - 2017
- [j1]David Gefen, James E. Endicott, Jorge E. Fresneda, Jacob L. Miller, Kai R. Larsen:
A Guide to Text Analysis with Latent Semantic Analysis in R with Annotated Code: Studying Online Reviews and the Stack Exchange Community. Commun. Assoc. Inf. Syst. 41: 21 (2017)
Coauthor Index
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last updated on 2024-04-25 05:42 CEST by the dblp team
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