Biclustering of DNA microarray data using artificial immune system. - Waleed Abo-Hamad; Mohammed Korayem; Khaled Moustafa (ISDA, 2010)

Subjectivity and Sentiment Analysis of Modern Standard Arabic. - Muhammad Abdul-Mageed; Mona T. Diab; Mohammed Korayem (ACL (2), 2011)

"Yes we can?": Subjectivity Annotation and Tagging for the Health Domain. - Muhammad Abdul-Mageed; Mohammed Korayem; Ahmed YoussefAgha (RANLP, 2011)

Subjectivity and Sentiment Analysis of Arabic: A Survey. - Mohammed Korayem; David J. Crandall; Muhammad Abdul-Mageed (AMLTA, 2012)

Solving Avatar Captchas Automatically. - Mohammed Korayem; Abdallah A. Mohamed; David J. Crandall; Roman V. Yampolskiy (AMLTA, 2012)

Learning Visual Features for the Avatar Captcha Recognition Challenge. - Mohammed Korayem; Abdallah A. Mohamed; David J. Crandall; Roman V. Yampolskiy (ICMLA (2), 2012)

Beyond co-occurrence: discovering and visualizing tag relationships from geo-spatial and temporal similarities. - Haipeng Zhang 004; Mohammed Korayem; Erkang You; David J. Crandall (WSDM, 2012)

Mining photo-sharing websites to study ecological phenomena. - Haipeng Zhang 004; Mohammed Korayem; David J. Crandall; Gretchen LeBuhn (WWW, 2012)

Observing the Natural World with Flickr. - Jingya Wang; Mohammed Korayem; David J. Crandall (ICCV Workshops, 2013)

De-Anonymizing Users Across Heterogeneous Social Computing Platforms. - Mohammed Korayem; David J. Crandall (ICWSM, 2013)

Crowdsourced query augmentation through semantic discovery of domain-specific jargon. - Khalifeh AlJadda; Mohammed Korayem; Trey Grainger; Chris Russell 003 (IEEE BigData, 2014)

PGMHD: A scalable probabilistic graphical model for massive hierarchical data problems. - Khalifeh AlJadda; Mohammed Korayem; Camilo Ortiz; Trey Grainger; John A. Miller 001; William S. York (IEEE BigData, 2014)

PlaceAvoider: Steering First-Person Cameras away from Sensitive Spaces. - Robert Templeman; Mohammed Korayem; David J. Crandall; Apu Kapadia (NDSS, 2014)

Augmenting recommendation systems using a model of semantically-related terms extracted from user behavior. - Khalifeh AlJadda; Mohammed Korayem; Camilo Ortiz; Chris Russell 003; David Bernal; Lamar Payson; Scott Brown; Trey Grainger (CoRR, 2014)

ScreenAvoider: Protecting Computer Screens from Ubiquitous Cameras. - Mohammed Korayem; Robert Templeman; Dennis Chen; David J. Crandall; Apu Kapadia (CoRR, 2014)

Improving the quality of semantic relationships extracted from massive user behavioral data. - Khalifeh AlJadda; Mohammed Korayem; Trey Grainger (IEEE BigData, 2015)

Query sense disambiguation leveraging large scale user behavioral data. - Mohammed Korayem; Camilo Ortiz; Khalifeh AlJadda; Trey Grainger (IEEE BigData, 2015)

Mining Massive Hierarchical Data Using a Scalable Probabilistic Graphical Model. - Khalifeh AlJadda; Mohammed Korayem; Camilo Ortiz; Trey Grainger; John A. Miller 001; Khaled Rasheed; Krys J. Kochut; William S. York; René Ranzinger; Melody P. Porterfield (CoRR, 2015)

GELATO and SAGE: An Integrated Framework for MS Annotation. - Khalifeh AlJadda; René Ranzinger; Melody P. Porterfield; Brent Weatherly; Mohammed Korayem; John A. Miller 001; Khaled Rasheed; Krys J. Kochut; William S. York (CoRR, 2015)

Solving cold-start problem in large-scale recommendation engines: A deep learning approach. - Jianbo Yuan; Walid Shalaby; Mohammed Korayem; David Lin; Khalifeh AlJadda; Jiebo Luo 001 (IEEE BigData, 2016)

Enhancing Lifelogging Privacy by Detecting Screens. - Mohammed Korayem; Robert Templeman; Dennis Chen; David J. Crandall; Apu Kapadia (CHI, 2016)

Entity Type Recognition Using an Ensemble of Distributional Semantic Models to Enhance Query Understanding. - Walid Shalaby; Khalifeh AlJadda; Mohammed Korayem; Trey Grainger (COMPSAC, 2016)

The Semantic Knowledge Graph: A Compact, Auto-Generated Model for Real-Time Traversal and Ranking of any Relationship within a Domain. - Trey Grainger; Khalifeh AlJadda; Mohammed Korayem; Andries Smith (DSAA, 2016)

Macro-Optimization of email Recommendation Response Rates Harnessing Individual Activity Levels and Group Affinity Trends. - Mohammed Korayem; Khalifeh AlJadda; Trey Grainger (ICMLA, 2016)

Tracking Natural Events through Social Media and Computer Vision. - Jingya Wang; Mohammed Korayem; Saúl A. Blanco; David J. Crandall (ACM Multimedia, 2016)

Sentiment/Subjectivity Analysis Survey for Languages other than English. - Mohammed Korayem (CoRR, 2016)

Application of Statistical Relational Learning to Hybrid Recommendation Systems. - Shuo Yang 004; Mohammed Korayem; Khalifeh AlJadda; Trey Grainger; Sriraam Natarajan (CoRR, 2016)

Sentiment/subjectivity analysis survey for languages other than English. - Mohammed Korayem; Khalifeh AlJadda; David J. Crandall (Soc. Netw. Anal. Min., 2016)

Help me find a job: A graph-based approach for job recommendation at scale. - Walid Shalaby; BahaaEddin AlAila; Mohammed Korayem; Layla Pournajaf; Khalifeh AlJadda; Shannon Quinn; Wlodek Zadrozny (IEEE BigData, 2017)

Long Tail Query Enrichment for Semantic Job Search. - Layla Pournajaf; Khalifeh AlJadda; Mohammed Korayem (ICDM Workshops, 2017)

Combining content-based and collaborative filtering for job recommendation system: A cost-sensitive Statistical Relational Learning approach. - Shuo Yang 004; Mohammed Korayem; Khalifeh AlJadda; Trey Grainger; Sriraam Natarajan (Knowl. Based Syst., 2017)

A Combined Representation Learning Approach for Better Job and Skill Recommendation. - Vachik S. Dave; Baichuan Zhang; Mohammad Al Hasan; Khalifeh AlJadda; Mohammed Korayem (CIKM, 2018)

Mining massive hierarchical data using a scalable probabilistic graphical model. - Khalifeh AlJadda; Mohammed Korayem; Camilo Ortiz; Trey Grainger; John A. Miller 001; Khaled Rasheed; Krys J. Kochut; Hao Peng 007; William S. York; René Ranzinger; Melody P. Porterfield (Inf. Sci., 2018)

DeepCarotene -Job Title Classification with Multi-stream Convolutional Neural Network. - Jingya Wang; Kareem Abdelfatah; Mohammed Korayem; Janani Balaji (IEEE BigData, 2019)

AIResume: Automated Generation of Resume Work History. - Janani Balaji; Madhav Sigdel; Phuong Hoang; Mengshu Liu; Mohammed Korayem (KaRS@CIKM, 2019)

Tripartite Vector Representations for Better Job Recommendation. - Mengshu Liu; Jingya Wang; Kareem Abdelfatah; Mohammed Korayem (DI2KG@KDD, 2019)

Automated Discovery and Classification of Training Videos for Career Progression. - Alan Chern; Phuong Hoang; Madhav Sigdel; Janani Balaji; Mohammed Korayem (CoRR, 2019)

Blockchain-Based Certification for Education, Employment, and Skill with Incentive Mechanism. - Liyuan Liu; Meng Han; Yiyun Zhou; Reza M. Parizi; Mohammed Korayem (Blockchain Cybersecurity, Trust and Privacy, 2020)

Embedding-based Recommender System for Job to Candidate Matching on Scale. - Jing Zhao; Jingya Wang; Madhav Sigdel; Bopeng Zhang; Phuong Hoang; Mengshu Liu; Mohammed Korayem (CoRR, 2021)

2nd Workshop on Online and Adaptive Recommender Systems (OARS). - Xiquan Cui; Vachik S. Dave; Yi Su 008; Khalifeh Al Jadda; Srijan Kumar; Julian J. McAuley; Tao Ye 001; Kamelia Aryafar; Mohammed Korayem (KDD, 2022)

Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail and Beyond. - Zhiwei (Tony) Qin; Liangjie Hong; Rui Song 006; Hongtu Zhu; Mohammed Korayem; Haiyan Luo; Michael I. Jordan (KDD, 2022)

KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond. - Zhiwei (Tony) Qin; Liangjie Hong; Rui Song 006; Hongtu Zhu; Mohammed Korayem; Haiyan Luo; Michael I. Jordan (SIGKDD Explor., 2022)

Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs. - Md. Ahsanul Kabir; Kareem Abdelfatah; Shushan He; Mohammed Korayem; Mohammad Al Hasan (IEEE Big Data, 2024)

Hierarchical Job Classification with Similarity Graph Integration. - Md. Ahsanul Kabir; Kareem Abdelfatah; Mohammed Korayem; Mohammad Al Hasan (CoRR, 2025)