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Jorge E. Fresneda

Jorge Eduardo Fresneda Fernandez

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Journal Articles

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2023
[j7]
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  - journals/ecr/PingHZF23
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  - https://dblp.org/rec/journals/ecr/PingHZF23
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]
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  - journals/cacm/FresnedaHH22
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Jorge E. Fresneda, Jeremy Hui, Chelsey Hill:
Market segmentation in the emoji era. Commun. ACM 65(4): 105-112 (2022)
[j5]
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  - journals/sensors/PiasEF22
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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]
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  - journals/sensors/AkterPPEF22
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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]
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  - journals/iam/FresnedaG20
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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)
2019
[j2]
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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]
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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)

Conference and Workshop Papers

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2024
[c1]
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David Eisenberg, Tanmoy Sarkar Pias, Jorge E. Fresneda, Jerry Fjermestad:
Neuromarketing Techniques to Enhance Consumer Preference Prediction. HICSS 2024: 923-932

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