Elias Alevizos

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BACKGROUND The limited number of systematic, controlled studies that assess the safety and efficacy of psychotropic medications for children reinforce the hesitation and reluctance of parents to administer such medications. The aim of this study was to investigate the attitudes of parents of children with psychiatric disorders, towards psychotropic(More)
To the Editor: Patient attitudes toward electroconvulsive therapy (ECT) have been studied frequently, as have attitudes of psychiatrists toward this treatment. Little research, however, has been conducted on the attitudes of nonpsychiatrist physicians toward ECT. This, we believe, is an important area because, in many countries, nonspecialists provide(More)
Lithium augmentation is one of the best studied strategies for resistant depression. The lithium dosage usually given is around 900 mg/day and plasma level is maintained in the range of 0.5-0.8 mEq/L. However, the administration of lithium in this dosage necessitates monitoring of plasma concentration and increases the risk of toxicity and side effects.(More)
We present a system for online monitoring of maritime activity over streaming positions from numerous vessels sailing at sea. It employs an online tracking module for detecting important changes in the evolving trajectory of each vessel across time, and thus can incrementally retain concise, yet reliable summaries of its recent movement. In addition, thanks(More)
Complex event processing (CEP) is a field that has drawn significant attention in the last years. CEP systems treat incoming information as flows of time-stamped events which may be structured according to some underlying pattern. Their goal is to extract in real-time those patterns or even learn the patterns which could lead to certain outcomes. Many CEP(More)
Maritime monitoring is a typical Big Data problem where hundreds of thousands of vessels across the globe transmit messages about their location, speed and other information. We have developed a system for online vessel tracking that performs, as a first step, a high-rate but accurate trajectory compression. Subsequently, the compressed trajectories are(More)
Complex Event Recognition (CER) applications exhibit various types of uncertainty, ranging from incomplete and erroneous data streams to imperfect complex event patterns. We review CER techniques that handle, to some extent, uncertainty. We examine both automata-based techniques, which are the most often, and logic-based ones, which are less frequently(More)
We present a system for online probabilistic event forecasting. We assume that a user is interested in detecting and forecasting event patterns, given in the form of regular expressions. Our system can consume streams of events and forecast when the pattern is expected to be fully matched. As more events are consumed, the system revises its forecasts to(More)
Complex event recognition (CER) applications exhibit various types of uncertainty, ranging from incomplete and erroneous data streams to imperfect complex event patterns. We review CER techniques that handle, to some extent, uncertainty. We examine techniques based on automata, probabilistic graphical models, and first-order logic, which are the most common(More)
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