Ahmed Abdeen Hamed

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We participated (as Team 9) in the Article Classification Task of the Biocreative II.5 Challenge: binary classification of full-text documents relevant for protein-protein interaction. We used two distinct classifiers for the online and offline challenges: 1) the lightweight Variable Trigonometric Threshold (VTT) linear classifier we successfully introduced(More)
CONTEXT Development of optimal medicinal treatments of uterine leiomyomas represents a significant challenge. 2-Methoxyestradiol (2ME) is an endogenous estrogen metabolite formed by sequential action of CYP450s and catechol-O-methyltransferase (COMT). Our previous study demonstrated that 2ME is a potent antiproliferative, proapoptotic, antiangiogenic, and(More)
The importance of searching biomedical literature for drug interaction and side-effects is apparent. Current digital libraries (e.g., PubMed) suffer infrequent tagging and metadata annotation updates. Such limitations cause absence of linking literature to new scientific evidence. This demonstrates a great deal of challenges that stand in the way of(More)
Digital recruitment is increasingly becoming a popular avenue for identifying human subjects for various studies. The process starts with an online ad that describes the task and explains expectations. As social media has exploded in popularity, efforts are being made to use social media advertisement for various recruitment purposes. There are, however,(More)
This paper presents a novel architecture that brings together Information Extraction (IE) with Event Processing (EP) research areas to globally monitor human activities and biodiversity dynamics and measure their impact on ecosystems. The two areas (IE and EP) are rich on their own and we believe their integration will achieve a much more comprehensive(More)
Social Media Big Data have transformed the scale of exploratory analysis on the web and offered new means of performing tasks that were not feasible before. Over a half century ago, Milgram showed that the average number of intermediaries (called the "degrees of separation") between two individuals is less than six (between 4.4 and 5.7). The study was done(More)
We introduce our initial work for developing a social networks recommender system called T-Recs. The system is a time-aware Twitter-based alternative medicine recommender system. We collected a set of tweets (around 500,000 tweets) that contain specific hash tags (#throwing up, #headache, #itching etc) for a three consecutive weeks. The individual tweets(More)
Digital recruitment is increasingly becoming a popular avenue for identifying human subjects for various studies. The process starts with an online ad that describes the task and explains expectations. As social media has exploded in popularity, efforts are being made to use social media to recruit for new career opportunities. Particularly, LinkedIn and(More)