Artificial Intelligence for IT Operations (AIOps) has been adopted in organizations various tasks, including interpreting models to identify indicators of service failures. To avoid misleading practitioners, AIOps model interpretations should be consistent (i.e., different on the same task agree with one another feature importance). However, many studies violate established practices machine le...

We present a method for learning a low-dimensional representation which is shared across a set of multiple related tasks. The method builds upon the wellknown 1-norm regularization problem using a new regularizer which controls the number of learned features common for all the tasks. We show that this problem is equivalent to a convex optimization problem and develop an iterative algorithm for ...

Lexical fluency tests are frequently used in clinical practice to assess language and executive function. As part of the Spanish multicenter normative studies (NEURONORMA project), we provide age- and education-adjusted norms for three semantic fluency tasks (animals, fruit and vegetables, and kitchen tools), three formal lexical tasks (words beginning with P, M, and R), and three excluded lett...

this experimental study examined the effectiveness of using focused and unfocused tasks on iranianintermediate efl learners’ performance in producing noun, adjective, and adverb clauses. in addition,the aim of this study was to explore the effects of form-focused instruction and the feedback studentsreceived from their teacher after doing focused grammar tasks. data consisted of the scores ofth...

Symptom validity testing (SVT) has become a major theme of contemporary neuropsychological research. However, many issues about the meaning and interpretation of SVT findings will require the best in research design and methods to more precisely characterize what SVT tasks measure and how SVT test findings are to be used in neuropsychological assessment. Major clinical and research issues are o...

This paper describes our work on using qualitative spatial interpretation and reasoning to achieve a natural and efficient interaction between a human and an intelligent robot on navigation tasks. The Conceptual Route Graph, which combines conventional route graphs and qualitative spatial orientation calculi, serves as an internal model of human spatial knowledge on top of the robot’s quantitat...

The work reported here forms part of a larger project to develop 'Techniques for User-Programmable Image Processing' (TUPIP). The objective in this project is to develop a system in which image interpretation tasks can be specified without the need for a detailed understanding of programming techniques and interpretation strategies. The aim is to demonstrate how a system able to operate from a ...

| This paper addresses the problem of mobile robot self-localization given a polygonal map and a set of observed edge segments. The standard approach uses interpretation tree search with pruning heuristics to match observed edges to map edges. Our approach introduces a preprocessing step in which the map is decomposed into view-invariant regions (VIRs). The VIR decomposition captures informatio...

One of the most important tasks of genome projects is the interpretation of experimental data in order to derive biological knowledge from the data. To achieve this goal, researchers typically search external data sources, execute analysis programs on the biosequences, analyze previous annotations and add new annotations to register their interpretation of the data. This paper first elicits the...

This paper gives an integrated view of developing a model for an assessment systems and monitoring tasks of critical patients. This model was designed according to the Temporal Abstraction dimensions and state interpretation levels, particularly the monitored physiological state. Monitoring arrhythmias was used as reference case for models development. A model based on the algorithm Smith-Water...