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2020 – today
- 2023
[c16]Oluwaseun Adegbehingbe, James H. Jones:
Assessing the Impact of Matched Fragments' Relative Locations on Application Artifact Inference. CCWC 2023: 450-457- [c15]Oluwaseun Adegbehingbe
, James H. Jones:
Improving Application Artifact Inference Using Matched Sector Adjacency Weighting. IWSPA@CODASPY 2023: 95-100 - [c14]Matthew A. Turner, Alyson L. Signleton, Mallory J. Harris, Cesar A. López, Ian Harryman, Ronan F. Arthur, Caroline Muraida, James H. Jones:
Minority-group incubators and majority-group reservoirs for promoting the diffusion of climate change and public health adaptations. CogSci 2023 - 2022
- [c13]Matthew A. Turner, Cristina Moya, Paul E. Smaldino, James H. Jones:
Some forms of uncertainty may suppress the evolution of social learning. CogSci 2022 - 2021
- [j2]Ronan F. Arthur, James H. Jones, Matthew H. Bonds, Yoav Ram, Marcus W. Feldman:
Adaptive social contact rates induce complex dynamics during epidemics. PLoS Comput. Biol. 17(2) (2021) - [c12]Samira Zad, Maryam Heidari, James H. Jones, Özlem Uzuner:
A Survey on Concept-Level Sentiment Analysis Techniques of Textual Data. AIIoT 2021: 285-291 - [c11]Masoud Malekzadeh, Parisa Hajibabaee, Maryam Heidari, Samira Zad, Özlem Uzuner, James H. Jones:
Review of Graph Neural Network in Text Classification. UEMCON 2021: 84-91 - [c10]Maryam Heidari, Samira Zad, Parisa Hajibabaee, Masoud Malekzadeh, SeyyedPooya HekmatiAthar, Özlem Uzuner, James H. Jones:
BERT Model for Fake News Detection Based on Social Bot Activities in the COVID-19 Pandemic. UEMCON 2021: 103-109 - 2020
- [c9]Maryam Heidari, James H. Jones, Özlem Uzuner:
Deep Contextualized Word Embedding for Text-based Online User Profiling to Detect Social Bots on Twitter. ICDM (Workshops) 2020: 480-487 - [c8]Maryam Heidari, James H. Jones:
Using BERT to Extract Topic-Independent Sentiment Features for Social Media Bot Detection. UEMCON 2020: 542-547
2010 – 2019
- 2019
- [c7]Maha F. Sabir, James H. Jones, Hang Liu, Alex V. Mbaziira:
Using Machine Learning to Predict Stealthy Watermarks in Files During Cyber Crime Investigations. ICCDA 2019: 20-25 - [c6]Maha F. Sabir, James H. Jones, Hang Liu, Alex V. Mbaziira:
Predicting Stealthy Watermarks in Files Using Deep Learning. ISDFS 2019: 1-6 - [c5]Bradley Lee Snyder, James H. Jones:
Determining the Effectiveness of Data Remanence Prevention in the AWS Cloud. ISDFS 2019: 1-6 - 2018
- [c4]Maha F. Sabir, James H. Jones, Hang Liu, Alex V. Mbaziira:
A Non-Algorithmic Forensic Approach for Hiding Data in Image Files. ICCDA 2018: 60-64 - 2017
- [c3]James H. Jones, Tahir M. Khan:
A method and implementation for the empirical study of deleted file persistence in digital devices and media. CCWC 2017: 1-7 - [c2]Alex V. Mbaziira, James H. Jones:
Hybrid Text-based Deception Models for Native and Non-Native English Cybercriminal Networks. ICCDA 2017: 23-27 - 2010
- [j1]Marcel Salathé, James H. Jones:
Dynamics and Control of Diseases in Networks with Community Structure. PLoS Comput. Biol. 6(4) (2010) - [c1]Maria A. Kazandjieva, Jung Woo Lee, Marcel Salathé, Marcus W. Feldman, James H. Jones, Philip Alexander Levis:
Experiences in measuring a human contact network for epidemiology research. HotEmNets 2010: 7:1-7:5
Coauthor Index
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