138 Publications (Page 1 of 6)
2023
Leveraging Existing Literature on the Web and Deep Neural Models to Build a Knowledge Graph Focused on Water Quality and Health Risks
2022
Deep learning based high-throughput phenotyping of chalkiness in rice exposed to high night temperature
Wang, ChaoxinWang, ChaoxinCaragea, DoinaCaragea, DoinaNarayana, Nisarga KodadinneNarayana, Nisarga KodadinneHein, Nathan T.Hein, Nathan T.Bheemanahalli, RajuBheemanahalli, RajuSomayanda, Impa M.Somayanda, Impa M.Jagadish, S. V. Krishna and Jagadish, S. V. Krishna
Plant Methods, vol. 18. | Journal Article
2021
Aligning EHR Data for Pediatric Leukemia With Standard Protocol Therapy.
Wood, Nicole MDavis, SierraLewing, KarenNoel-MacDonnell, JanelleGlynn, Earl FCaragea, Doina and Hoffman, Mark A
JCO clinical cancer informatics, vol. 5, pp. 239-251, March 2021. | Journal Article
 
Classical Phenotyping and Deep Learning Concur on Genetic Control of Stomatal Density and Area in Sorghum.
Bheemanahalli, RajuBheemanahalli, RajuWang, ChaoxinWang, ChaoxinBashir, ElfadilBashir, ElfadilChiluwal, AnujChiluwal, AnujPokharel, MeghnathPokharel, MeghnathPerumal, RamasamyPerumal, RamasamyMoghimi, NaghmehMoghimi, NaghmehOstmeyer, TroyOstmeyer, TroyCaragea, DoinaCaragea, DoinaJagadish, S V Krishna and Jagadish, S.V. Krishna
Plant physiology, April 15, 2021. | Journal Article
2020
Cross-Lingual Disaster-related Multi-label Tweet Classification with Manifold Mixup
Chowdhury, Jishnu RayCaragea, Cornelia and Caragea, Doina
Association for Computational Linguistics
 
Domain Adaptation with Reconstruction for Disaster Tweet Classification
Li, Xukun and Caragea, Doina
ACM
 
Experimental Study of Machine Learning based Malware Detection Systems’ Practical Utility
Li, YupingCaragea, DoinaHall, Lawrence and Ou, Xingmin
 
Hybrid Analysis of Android Apps for Security Vetting using Deep Learning
Chaulagain, D.Poudel, P.Pathak, P.Roy, S.Caragea, D.Liu, G. and Ou, X.
 
Improving Disaster-related Tweet Classification with a Multimodal Approach
Li, Xukun and Caragea, Doina
 
On Identifying Hashtags in Disaster Twitter Data
Chowdhury, J.R.Chowdhury, Jishnu RayCaragea, CorneliaCaragea, C.Caragea, D. and Caragea, Doina
(pp. 498–506). Association for the Advancement of Artificial Intelligence (AAAI)
 
Root anatomy based on root cross-section image analysis with deep learning
Wang, ChaoxinLi, XukunCaragea, DoinaBheemanahallia, Raju and Jagadish, SV K
Computers and Electronics in Agriculture, vol. 175, Aug 2020. | Journal Article
 
Using AI and Social Media Multimodal Content for Disaster Response and Management: Opportunities, Challenges, and Future Directions
Imran, MuhammadOfli, FerdaCaragea, Doina and Torralba, Antonio
Information Processing & Management, vol. 57, pp. 102261. | Journal Article
2019
A Hybrid Domain Adaptation Approach for Identifying Crisis-Relevant Tweets
Li, HongminLi, HongminCaragea, DoinaCaragea, DoinaCaragea, CorneliaCaragea, CorneliaMazloom, RezaMazloom, RezaImran, Muhammad and Imran, Muhammad
International Journal of Information Systems for Crisis Response and Management, vol. 11, (no. 2), pp. 1-19, Jul-Sep 2019. | Journal Article
 
Identifying Android malware using network-based approaches
Alfs, EmilyCaragea, DoinaChaulagain, DewanRoy, SankardasAlbin, Nathan and Poggi-Corradini, Pietro
ACM
 
Identifying Android Malware Using Network-Based Approaches
Alfs, EmilyCaragea, DoinaAlbin, Nathan and Poggi-Corradini, Pietro
(pp. 9911–9912). Association for the Advancement of Artificial Intelligence (AAAI)
 
Identifying Disaster Damage Images Using a Domain Adaptation Approach
Li, XukunLi, X.Caragea, C.Caragea, DoinaCaragea, CorneliaCaragea, D.Imran, M.Imran, MuhammadOfli, Ferda and Ofli, F.
 
Keyphrase Extraction from Disaster-related Tweets
Chowdhury, J.R.Chowdhury, Jishnu RayCaragea, CorneliaCaragea, C.Caragea, D. and Caragea, Doina
ACM Press
 
Localizing and quantifying infrastructure damage using class activation mapping approaches
Li, XukunCaragea, DoinaZhang, Huaiyu and Imran, Muhammad
Social Network Analysis and Mining, vol. 9. | Journal Article
 
Refining a coding scheme to identify actionable information on social media
Kropczynski, J.Kropczynski, J.Halse, S.Halse, S.Caragea, D.Caragea, D.Grace, R.Grace, R.Elrod, N.Elrod, N.Caragea, C.Caragea, C.Tapia, A. and Tapia, A.
(pp. 916-922)
 
Sympathy detection in disaster Twitter data
Li, Y.Li, Y.Caragea, C.Caragea, C.Park, S.Park, S.Caragea, D.Caragea, D.Tapia, A. and Tapia, A.
(pp. 788-798)
2018
Classification of Twitter Disaster Data Using a Hybrid Feature-Instance Adaptation Approach
Mazloom, RezaLi, HongminCaragea, DoinaCaragea, Cornelia and Imran, Muhammad
 
Comparative genomics reveals differences in mobile virulence genes of Escherichia coli O103 pathotypes of bovine fecal origin
Noll, Lance WNoll, LanceWorley, Jay NWorley, JayYang, XunYang, XunShridhar, Pragathi BShridhar, PragathiLudwig, JustinLudwig, Justin BShi, XiaorongShi, XiaorongBai, JianfaBai, JianfaCaragea, DoinaCaragea, DoinaMeng, JianghongMeng, JianghongNagaraja, T G and Nagaraja, T
PLoS One, vol. 13, (no. 2), Feb 2018. | Journal Article
 
Comparison of Word Embeddings and Sentence Encodings as Generalized Representations for Crisis Tweet Classification Tasks
Li, HongminCaragea, DoinaLi, Xukun and Caragea, Cornelia
(pp. 13)
 
Deep neural networks versus naïve bayes classifiers for identifying informative tweets during disasters
Neppalli, V.K.Neppalli, V.K.Caragea, C.Caragea, C.Caragea, D. and Caragea, D.
(pp. 677-686)
 
Disaster response aided by tweet classification with a domain adaptation approach
Li, H.Li, HongminLi, HongminCaragea, DoinaCaragea, D.Caragea, DoinaCaragea, CorneliaCaragea, C.Caragea, CorneliaHerndon, N.Herndon, Nic and Herndon, Nic
Journal of Contingencies and Crisis Management, vol. 26, pp. 16–27. | Journal Article