The goal of this project was two-fold: first, to improve the performance of machine learning
algorithms for the diagnosis of pediatric tuberculosis, and second, to use machine learning algorithms
to better understand the problem of diagnosis. We constructed and examined…

This paper discusses the motivation, design, implementation, and evaluation of a
new electronic beat sequencing system called HMM Beats. HMM Beats is inspired
by recent work in machine learning on user drum beat prediction. HMM Beats is
an interactive system…

The objective of this thesis project is to build a robot that can clearly demonstrate its
potential to solve standard jigsaw puzzles. This robot must be capable of picking up
and reorienting puzzle pieces to the precision required for completing…

This article considers aspects of the assimilation of academic research to town planning guidelines and policies, in particular research conducted in terms, and with methodologies, remote from practical town planning processes. It grew out of an interdisciplinary project examining the…

Over the past several decades, abundant research has investigated the onset of gender role development in early childhood, suggesting that children as young as 3 possess substantial awareness of gender stereotypes and, by age 5, strong beliefs about the need…

Presented at: Conference on Structural Reform and the Transformation of Organizations and Businesses, sponsored by the Ashcroft International Business School and the Athenian Policy Forum. Homerton College, Cambridge, 3-6 September 2003.

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The United States is struggling to provide health care in the face of ever increasing demand. As medical students continue their decades long march toward specialization, questions of how to provide generalist care become quickly intertwined with that of who…

This article reviews the most significant milestones
in CAD methodologies for intelligent EM-based modeling and
design optimization using artificial neural networks and space
mapping. We consider knowledge-based and automatic neural
network model generation based on advanced data sampling
algorithms. Computationally…

Academic-industry partnerships in biomedical research come in many forms, but
those that occur around clinical research are the most prominent. Researchers at academic
medical centers have historically conducted a large proportion of industry-sponsored
clinical trials, as they alone had the…