Emad A. M. Andrews Shenouda

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Abduction is the process of proceeding from data describing a set of observations or events, to a set of hypotheses which best explains or accounts for the data. Cost-based abduction (CBA) is a formalism in which evidence to be explained is treated as a goal to be proven, proofs have costs based on how much needs to be assumed to complete the proof, and the(More)
Abduction is the process of proceeding from data describing a set of observations or events, to a set of hypotheses which best explains or accounts for the data. Cost-based abduction (CBA) is an AI formalism in which evidence to be explained is treated as a goal to be proven, proofs have costs based on how much needs to be assumed to complete the proof, and(More)
Multilayer perceptrons (MLP) has been proven to be very successful in many applications including classification. The activation function is the source of the MLP power. Careful selection of the activation function has a huge impact on the network performance. This paper gives a quantitative comparison of the four most commonly used activation functions,(More)
Identifying gene function has many useful applications especially in Gene Therapy. Identifying gene function based on gene expression data is much easier in prokaryotes than eukaryotes due to the relatively simple structure of prokaryotes. That is why tissue-specific expression is the primary tool for identifying gene function in eukaryotes. However, recent(More)
Belief revision is the problem of finding the most plausible explanation for an observed set of evidences. This has many applications in various scientific domains like natural language understanding, medical diagnosis and computational biology. Bayesian Networks (BN) is an important probabilistic graphical formalism used widely for belief revision tasks.(More)
Belief revision is the problem of finding the most plausible explanation for an observed set of evidences. It has many applications in various scientific domains like natural language understanding, medical diagnosis and computational biology. Bayesian Networks (BN) is an important probabilistic graphical formalism widely used for belief revision tasks. In(More)
PURPOSE Visual failure due to optic nerve compression is a common indication for decompressive surgery. Most data only refer to the odds of improvement, deterioration or remaining the same. However, patients frequently wish to know more detail about the outcomes of surgery. Our aim was to assess the visual outcome from optic nerve decompression for visual(More)
A 60-year-old lady presented with intermittent headaches. Examination revealed striking marked unilateral tongue atrophy. Magnetic resonance imaging (MRI) revealed a cystic lesion in the hypoglossal canal and a provisional diagnosis of cystic hypoglossal schwannoma made. Annual surveillance scans showed stable appearances but surprisingly at 3 years they(More)
We report a case of histologically proven pilocytic astrocytoma arising within the cavernous sinus, confirmed radiographically and at operation. We discuss the implications in the context of previous reports of ectopic glioma origin. In particular, the possiblity of glioma development within glial cell islands in the peripheral segment of cranial nerves is(More)