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ORCIDMohammed Korayem
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2020 – today
- 2022
[j4]Zhiwei (Tony) Qin, Liangjie Hong, Rui Song, Hongtu Zhu, Mohammed Korayem, Haiyan Luo, Michael I. Jordan:
KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond. SIGKDD Explor. 24(2): 78-80 (2022)- [c29]Xiquan Cui, Vachik S. Dave
, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Kamelia Aryafar, Mohammed Korayem:
2nd Workshop on Online and Adaptive Recommender Systems (OARS). KDD 2022: 4862-4863 - [c28]Zhiwei (Tony) Qin, Liangjie Hong, Rui Song, Hongtu Zhu, Mohammed Korayem, Haiyan Luo, Michael I. Jordan:
Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail and Beyond. KDD 2022: 4898-4899 - 2021
- [i15]Jing Zhao, Jingya Wang, Madhav Sigdel, Bopeng Zhang, Phuong Hoang, Mengshu Liu, Mohammed Korayem:
Embedding-based Recommender System for Job to Candidate Matching on Scale. CoRR abs/2107.00221 (2021) - 2020
- [p1]Liyuan Liu, Meng Han, Yiyun Zhou, Reza M. Parizi, Mohammed Korayem:
Blockchain-Based Certification for Education, Employment, and Skill with Incentive Mechanism. Blockchain Cybersecurity, Trust and Privacy 2020: 269-290
2010 – 2019
- 2019
- [c27]Jingya Wang, Kareem Abdelfatah, Mohammed Korayem, Janani Balaji:
DeepCarotene -Job Title Classification with Multi-stream Convolutional Neural Network. IEEE BigData 2019: 1953-1961 - [c26]Janani Balaji, Madhav Sigdel, Phuong Hoang, Mengshu Liu, Mohammed Korayem:
AIResume: Automated Generation of Resume Work History. KaRS@CIKM 2019: 19-25 - [c25]Mengshu Liu, Jingya Wang, Kareem Abdelfatah, Mohammed Korayem:
Tripartite Vector Representations for Better Job Recommendation. DI2KG@KDD 2019 - [i14]Alan Chern, Phuong Hoang, Madhav Sigdel, Janani Balaji, Mohammed Korayem:
Automated Discovery and Classification of Training Videos for Career Progression. CoRR abs/1907.11086 (2019) - [i13]Mengshu Liu, Jingya Wang, Kareem Abdelfatah, Mohammed Korayem:
Tripartite Vector Representations for Better Job Recommendation. CoRR abs/1907.12379 (2019) - 2018
- [j3]Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Trey Grainger, John A. Miller, Khaled Rasheed, Krys J. Kochut, Hao Peng, William S. York, René Ranzinger, Melody P. Porterfield:
Mining massive hierarchical data using a scalable probabilistic graphical model. Inf. Sci. 425: 62-75 (2018) - [c24]Vachik S. Dave, Baichuan Zhang, Mohammad Al Hasan, Khalifeh AlJadda, Mohammed Korayem:
A Combined Representation Learning Approach for Better Job and Skill Recommendation. CIKM 2018: 1997-2005 - [i12]Walid Shalaby, BahaaEddin AlAila, Mohammed Korayem, Layla Pournajaf, Khalifeh AlJadda, Shannon Quinn, Wlodek Zadrozny:
Help Me Find a Job: A Graph-based Approach for Job Recommendation at Scale. CoRR abs/1801.00377 (2018) - 2017
- [j2]Shuo Yang, Mohammed Korayem, Khalifeh AlJadda, Trey Grainger, Sriraam Natarajan:
Combining content-based and collaborative filtering for job recommendation system: A cost-sensitive Statistical Relational Learning approach. Knowl. Based Syst. 136: 37-45 (2017) - [c23]Walid Shalaby, BahaaEddin AlAila, Mohammed Korayem, Layla Pournajaf, Khalifeh AlJadda, Shannon Quinn, Wlodek Zadrozny:
Help me find a job: A graph-based approach for job recommendation at scale. IEEE BigData 2017: 1544-1553 - [c22]Layla Pournajaf, Khalifeh AlJadda, Mohammed Korayem:
Long Tail Query Enrichment for Semantic Job Search. ICDM Workshops 2017: 215-220 - 2016
- [j1]Mohammed Korayem, Khalifeh AlJadda, David J. Crandall:
Sentiment/subjectivity analysis survey for languages other than English. Soc. Netw. Anal. Min. 6(1): 75:1-75:17 (2016) - [c21]Jianbo Yuan, Walid Shalaby, Mohammed Korayem, David Lin, Khalifeh AlJadda, Jiebo Luo:
Solving cold-start problem in large-scale recommendation engines: A deep learning approach. IEEE BigData 2016: 1901-1910 - [c20]Mohammed Korayem, Robert Templeman, Dennis Chen, David J. Crandall, Apu Kapadia:
Enhancing Lifelogging Privacy by Detecting Screens. CHI 2016: 4309-4314 - [c19]Walid Shalaby, Khalifeh AlJadda, Mohammed Korayem, Trey Grainger:
Entity Type Recognition Using an Ensemble of Distributional Semantic Models to Enhance Query Understanding. COMPSAC 2016: 631-636 - [c18]Trey Grainger, Khalifeh AlJadda, Mohammed Korayem, Andries Smith:
The Semantic Knowledge Graph: A Compact, Auto-Generated Model for Real-Time Traversal and Ranking of any Relationship within a Domain. DSAA 2016: 420-429 - [c17]Mohammed Korayem, Khalifeh AlJadda, Trey Grainger:
Macro-Optimization of email Recommendation Response Rates Harnessing Individual Activity Levels and Group Affinity Trends. ICMLA 2016: 402-407 - [c16]Jingya Wang, Mohammed Korayem, Saúl A. Blanco, David J. Crandall:
Tracking Natural Events through Social Media and Computer Vision. ACM Multimedia 2016: 1097-1101 - [i11]Mohammed Korayem:
Sentiment/Subjectivity Analysis Survey for Languages other than English. CoRR abs/1601.00087 (2016) - [i10]Walid Shalaby, Khalifeh AlJadda, Mohammed Korayem, Trey Grainger:
Entity Type Recognition using an Ensemble of Distributional Semantic Models to Enhance Query Understanding. CoRR abs/1604.00933 (2016) - [i9]Shuo Yang, Mohammed Korayem, Khalifeh AlJadda, Trey Grainger, Sriraam Natarajan:
Application of Statistical Relational Learning to Hybrid Recommendation Systems. CoRR abs/1607.01050 (2016) - [i8]Trey Grainger, Khalifeh AlJadda, Mohammed Korayem, Andries Smith:
The Semantic Knowledge Graph: A compact, auto-generated model for real-time traversal and ranking of any relationship within a domain. CoRR abs/1609.00464 (2016) - [i7]Mohammed Korayem, Khalifeh AlJadda, Trey Grainger:
Macro-optimization of email recommendation response rates harnessing individual activity levels and group affinity trends. CoRR abs/1609.05989 (2016) - [i6]Jianbo Yuan, Walid Shalaby, Mohammed Korayem, David Lin, Khalifeh AlJadda, Jiebo Luo:
Solving Cold-Start Problem in Large-scale Recommendation Engines: A Deep Learning Approach. CoRR abs/1611.05480 (2016) - 2015
- [c15]Mohammed Korayem, Camilo Ortiz, Khalifeh AlJadda, Trey Grainger:
Query sense disambiguation leveraging large scale user behavioral data. IEEE BigData 2015: 1230-1237 - [c14]Khalifeh AlJadda, Mohammed Korayem, Trey Grainger:
Improving the quality of semantic relationships extracted from massive user behavioral data. IEEE BigData 2015: 2951-2953 - [i5]Khalifeh AlJadda, René Ranzinger, Melody P. Porterfield, Brent Weatherly, Mohammed Korayem, John A. Miller, Khaled Rasheed, Krys J. Kochut, William S. York:
GELATO and SAGE: An Integrated Framework for MS Annotation. CoRR abs/1512.08451 (2015) - [i4]Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Trey Grainger, John A. Miller, Khaled Rasheed, Krys J. Kochut, William S. York, René Ranzinger, Melody P. Porterfield:
Mining Massive Hierarchical Data Using a Scalable Probabilistic Graphical Model. CoRR abs/1512.08525 (2015) - 2014
- [c13]Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Trey Grainger, John A. Miller, William S. York:
PGMHD: A scalable probabilistic graphical model for massive hierarchical data problems. IEEE BigData 2014: 55-60 - [c12]Khalifeh AlJadda, Mohammed Korayem, Trey Grainger, Chris Russell:
Crowdsourced query augmentation through semantic discovery of domain-specific jargon. IEEE BigData 2014: 808-815 - [c11]Robert Templeman, Mohammed Korayem, David J. Crandall, Apu Kapadia:
PlaceAvoider: Steering First-Person Cameras away from Sensitive Spaces. NDSS 2014 - [i3]Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Trey Grainger, John A. Miller, William S. York:
PGMHD: A Scalable Probabilistic Graphical Model for Massive Hierarchical Data Problems. CoRR abs/1407.5656 (2014) - [i2]Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Chris Russell, David Bernal, Lamar Payson, Scott Brown, Trey Grainger:
Augmenting recommendation systems using a model of semantically-related terms extracted from user behavior. CoRR abs/1409.2530 (2014) - [i1]Mohammed Korayem, Robert Templeman, Dennis Chen, David J. Crandall, Apu Kapadia:
ScreenAvoider: Protecting Computer Screens from Ubiquitous Cameras. CoRR abs/1412.0008 (2014) - 2013
- [c10]Jingya Wang, Mohammed Korayem, David J. Crandall:
Observing the Natural World with Flickr. ICCV Workshops 2013: 452-459 - [c9]Mohammed Korayem, David J. Crandall:
De-Anonymizing Users Across Heterogeneous Social Computing Platforms. ICWSM 2013 - 2012
- [c8]Mohammed Korayem, Abdallah A. Mohamed, David J. Crandall, Roman V. Yampolskiy:
Solving Avatar Captchas Automatically. AMLTA 2012: 102-110 - [c7]Mohammed Korayem, David J. Crandall, Muhammad Abdul-Mageed:
Subjectivity and Sentiment Analysis of Arabic: A Survey. AMLTA 2012: 128-139 - [c6]Mohammed Korayem, Abdallah A. Mohamed, David J. Crandall, Roman V. Yampolskiy:
Learning Visual Features for the Avatar Captcha Recognition Challenge. ICMLA (2) 2012: 584-587 - [c5]Haipeng Zhang, Mohammed Korayem, Erkang You, David J. Crandall:
Beyond co-occurrence: discovering and visualizing tag relationships from geo-spatial and temporal similarities. WSDM 2012: 33-42 - [c4]Haipeng Zhang, Mohammed Korayem, David J. Crandall, Gretchen LeBuhn:
Mining photo-sharing websites to study ecological phenomena. WWW 2012: 749-758 - 2011
- [c3]Muhammad Abdul-Mageed, Mona T. Diab, Mohammed Korayem:
Subjectivity and Sentiment Analysis of Modern Standard Arabic. ACL (2) 2011: 587-591 - [c2]Muhammad Abdul-Mageed, Mohammed Korayem, Ahmed YoussefAgha:
"Yes we can?": Subjectivity Annotation and Tagging for the Health Domain. RANLP 2011: 666-671 - 2010
- [c1]Waleed Abohamad, Mohammed Korayem, Khaled Moustafa:
Biclustering of DNA microarray data using artificial immune system. ISDA 2010: 1223-1228
Coauthor Index
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