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Aibek Musaev
Person information
- affiliation: University of Alabama, Department of Computer Science, Tuscaloosa, AL, USA
- affiliation: Georgia Institute of Technology, School of Computer Science, Atlanta, GA, USA
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2020 – today
- 2025
- [c24]Mirbek Dzhumaliev
, Aibek Musaev
Leveraging Generative AI for Personalized Learning Experiences. SIGCSE (2) 2025: 1732 - 2023
- [c23]Calton Pu, Abhijit Suprem, Aibek Musaev, João Eduardo Ferreira:
Evolution of Knowledge in Social Media and Their Relationship to an Evolving Real World. CogMI 2023: 18-23 - [i3]Songhui Yue, Jyothsna Kondari, Aibek Musaev, Randy K. Smith, Songqing Yue:
Using Twitter Data to Determine Hurricane Category: An Experiment. CoRR abs/2308.05866 (2023) - 2021
- [j4]Brian C. Britt
Using targeted betweenness centrality to identify bridges to neglected users in the Twitter conversation on veteran suicide. Soc. Netw. Anal. Min. 11(1): 40 (2021) - 2020
- [j3]Calton Pu, Abhijit Suprem, Rodrigo Alves Lima, Aibek Musaev, De Wang, Danesh Irani, Steve Webb, João Eduardo Ferreira
Beyond Artificial Reality: Finding and Monitoring Live Events from Social Sensors. ACM Trans. Internet Techn. 20(1): 2:1-2:21 (2020) - [i2]Aibek Musaev, Jiangping Wang, Liang Zhu, Cheng Li, Yi Chen, Jialin Liu, Wanqi Zhang, Juan Mei, De Wang:
Towards in-store multi-person tracking using head detection and track heatmaps. CoRR abs/2005.08009 (2020)
2010 – 2019
- 2019
- [c22]Chen Wang, Aibek Musaev, Pezhman Sheinidashtegol, Travis Atkison:
Towards Detection of Abnormal Vehicle Behavior Using Traffic Cameras. BigData 2019: 125-136 - [c21]Chen Wang, Aibek Musaev:
Preliminary Research on Vehicle Speed Detection using Traffic Cameras. IEEE BigData 2019: 3820-3823 - [c20]Aibek Musaev, Rebecca K. Britt
Study of Twitter Communications on Cardiovascular Disease by State Health Departments. ICWS 2019: 181-189 - [c19]Pezhman Sheinidashtegol, Aibek Musaev, Travis Atkison:
Investigating Personally Identifiable Information Posted on Twitter Before and After Disasters. SERVICES 2019: 31-45 - [c18]Abhijit Suprem, Aibek Musaev, Calton Pu:
Concept Drift Adaptive Physical Event Detection for Social Media Streams. SERVICES 2019: 92-105 - [e2]João Eduardo Ferreira, Aibek Musaev, Liang-Jie Zhang:
Services Computing - SCC 2019 - 16th International Conference, Held as Part of the Services Conference Federation, SCF 2019, San Diego, CA, USA, June 25-30, 2019, Proceedings. Lecture Notes in Computer Science 11515, Springer 2019, ISBN 978-3-030-23553-6 [contents] - [i1]Abhijit Suprem, Aibek Musaev, Calton Pu:
Concept Drift Adaptive Physical Event Detection for Social Media Streams. CoRR abs/1911.05494 (2019) - 2018
- [j2]Aibek Musaev, Pezhman Sheinidashtegol
Mining Twitter Data for Landslide Events Reported Worldwide. Int. J. Inf. Syst. Crisis Response Manag. 10(4): 47-64 (2018) - [c17]Vidya Nakade, Aibek Musaev, Travis Atkison:
Preliminary research on thesaurus-based query expansion for Twitter data extraction. ACM Southeast Regional Conference 2018: 14:1-14:4 - [c16]Aibek Musaev, Zhe Jiang
Detection of Damage and Failure Events of Road Infrastructure Using Social Media. ICWS 2018: 134-148 - [c15]Aibek Musaev, Kimberly Stowers, Jonghun Kam:
Harnessing Data to Create an Effective Drought Management System. ISCRAM 2018 - [c14]Songhui Yue, Jyothsna Kondari, Aibek Musave, Songqing Yue, Randy Smith:
Using Twitter Data to Determine Hurricane Category: An Experiment. ISCRAM 2018 - 2017
- [c13]Qixuan Hou, Aibek Musaev, Yang Yang, Calton Pu:
A Comparative Study of Increasing Automation in the Integration of Multilingual Social Media Information. CIC 2017: 319-327 - [c12]Aibek Musaev, De Wang, Jiateng Xie, Calton Pu:
REX: Rapid Ensemble Classification System for Landslide Detection Using Social Media. ICDCS 2017: 1240-1249 - [c11]Aibek Musaev, Calton Pu:
Towards Multilingual Automated Classification Systems. ICDCS 2017: 2333-2337 - [c10]Aibek Musaev, Qixuan Hou, Yang Yang, Calton Pu:
LITMUS: Towards Multilingual Reporting of Landslides. ICDCS 2017: 2494-2496 - [c9]Aibek Musaev, Calton Pu:
Landslide Information Service Based on Composition of Physical and Social Sensors. ICDE 2017: 1415-1416 - [e1]Aibek Musaev, João Eduardo Ferreira, Teruo Higashino:
37th IEEE International Conference on Distributed Computing Systems Workshops, ICDCS Workshops 2017, Atlanta, GA, USA, June 5-8, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-3292-5 [contents] - 2016
- [b1]Aibek Musaev:
Landslide information service based on composition of physical and social information services. Georgia Institute of Technology, Atlanta, GA, USA, 2016 - [c8]Aibek Musaev, Qixuan Hou:
Gathering High Quality Information on Landslides from Twitter by Relevance Ranking of Users and Tweets. CIC 2016: 276-284 - [c7]De Wang, Aibek Musaev, Calton Pu:
Information Diffusion Analysis of Rumor Dynamics over a Social-Interaction Based Model. CIC 2016: 312-320 - [c6]Iris Tien, Aibek Musaev, David Benas, Ameya Ghadi, Seymour E. Goodman, Calton Pu:
Detection of Damage and Failure Events of Critical Public Infrastructure using Social Sensor Big Data. IoTBD 2016: 435-440 - 2015
- [j1]Aibek Musaev, De Wang, Calton Pu:
LITMUS: A Multi-Service Composition System for Landslide Detection. IEEE Trans. Serv. Comput. 8(5): 715-726 (2015) - [c5]Chien-An Lai, Jim Donahue, Aibek Musaev, Calton Pu:
Nimbus: Tuning Filters Service on Tweet Streams. BigData Congress 2015: 623-630 - [c4]Aibek Musaev, De Wang, Saajan Shridhar, Chien-An Lai, Calton Pu:
Toward a Real-Time Service for Landslide Detection: Augmented Explicit Semantic Analysis and Clustering Composition Approaches. ICWS 2015: 511-518 - [c3]Aibek Musaev, De Wang, Saajan Shridhar, Calton Pu:
Fast Text Classification Using Randomized Explicit Semantic Analysis. IRI 2015: 364-371 - [p1]Aibek Musaev, De Wang, Calton Pu:
Multi-hazard Detection by Integrating Social Media and Physical Sensors. Social Media for Government Services 2015: 395-409 - 2014
- [c2]Aibek Musaev, De Wang, Chien-An Cho, Calton Pu:
Landslide Detection Service Based on Composition of Physical and Social Information Services. ICWS 2014: 97-104 - [c1]Aibek Musaev, De Wang, Calton Pu:
LITMUS: Landslide detection by integrating multiple sources. ISCRAM 2014
Coauthor Index
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