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Navid Hashemi Tonekaboni
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2020 – today
- 2024
- [c12]Cayden Dunn, Navid Hashemi Tonekaboni:
Transforming Generative Large Language Models' Limitations into Strengths using Gestalt: A Synergetic Approach to Mathematical Problem-Solving with Computational Engines. HICSS 2024: 5185-5194 - 2023
- [c11]Bryan Rickens, Navid Hashemi Tonekaboni:
Towards High Resolution Urban Heat Analysis: Incorporating Thermal Drones to Enhance Satellite Based Urban Heatmaps. WWW (Companion Volume) 2023: 707-714 - 2022
- [c10]Abolfazl Farahani, Navid Hashemi Tonekaboni, Khaled Rasheed, Hamid R. Arabnia:
CLPL: A Self-supervised Contrastive Learning Pseudo-Labeling Framework for Tabular Data. CSCI 2022: 7-12 - [c9]Abolfazl Farahani, Navid Hashemi Tonekaboni, Khaled Rasheed, Hamid R. Arabnia:
HPGER: Integrating Human Perception Into Group Emotion Recognition. CSCI 2022: 1442-1446 - [c8]Ashley Dowd, Navid Hashemi Tonekaboni:
Real-Time Facial Emotion Detection Through the Use of Machine Learning and On-Edge Computing. ICMLA 2022: 444-448 - 2020
- [j1]Yanzhe Yin, Navid Hashemi Tonekaboni, Andrew Grundstein, Deepak R. Mishra, Lakshmish Ramaswamy, John Dowd:
Urban ambient air temperature estimation using hyperlocal data from smart vehicle-borne sensors. Comput. Environ. Urban Syst. 84: 101538 (2020) - [c7]Sahar Voghoei, Navid Hashemi Tonekaboni, Delaram Yazdansepas, Saber Soleymani, Abolfazl Farahani, Hamid R. Arabnia:
Personalized Feedback Emails: A Case Study on Online Introductory Computer Science Courses. ACM Southeast Regional Conference 2020: 18-25 - [c6]Navid Hashemi Tonekaboni, Lakshmish Ramaswamy, Deepak Mishra, Omid Setayeshfar, Sorush Omidvar:
Spatio-Temporal Coverage Enhancement in Drive-By Sensing Through Utility-Aware Mobile Agent Selection. ICIOT 2020: 108-124 - [c5]Davide Fossati, Navid Hashemi Tonekaboni:
Practice Exams and Student Performance in Introductory Programming. SIGCSE 2020: 1362 - [c4]Navid Hashemi Tonekaboni, Sahar Voghoei, Delaram Yazdansepas:
How Personalized Feedback Emails Can Enhance Participation Rate in Online Courses. SIGCSE 2020: 1376 - [i2]Navid Hashemi Tonekaboni, Lakshmish Ramaswamy, Deepak Mishra, Sorush Omidvar:
Spatio-Temporal Coverage Enhancement in Drive-By Sensing Through Utility-Aware Mobile Agent Selection. CoRR abs/2002.08886 (2020)
2010 – 2019
- 2019
- [c3]Navid Hashemi Tonekaboni, Lakshmish Ramaswamy, Sakshi Sachdev:
A Mobile and Web-Based Approach for Targeted and Proactive Participatory Sensing. CollaborateCom 2019: 215-230 - [i1]Sahar Voghoei, Navid Hashemi Tonekaboni, Jason G. Wallace, Hamid R. Arabnia:
Deep Learning at the Edge. CoRR abs/1910.10231 (2019) - 2018
- [c2]Navid Hashemi Tonekaboni, Lakshmish Ramaswamy, Deepak Mishra, Andrew Grundstein, Sujeet Kulkarni, Yanzhe Yin:
SCOUTS: A Smart Community Centric Urban Heat Monitoring Framework. ARIC@SIGSPATIAL 2018: 27-30 - [c1]Navid Hashemi Tonekaboni, Sujeet Kulkarni, Lakshmish Ramaswamy:
Edge-Based Anomalous Sensor Placement Detection for Participatory Sensing of Urban Heat Islands. ISC2 2018: 1-8
Coauthor Index
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