Browsing Computer Science by Author "Chakraborty, S."
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Inference management, trust and obfuscation principles for quality of information in emerging pervasive environments
Bisdikian, C.; Gibson, C.; Chakraborty, S.; Srivastava, M. B.; Şensoy, Murat; Norman, T. J. (Elsevier, 2014-04)The emergence of large scale, distributed, sensor-enabled, machine-to-machine pervasive applications necessitates engaging with providers of information on demand to collect the information, of varying quality levels, to ... -
Interpretability of deep learning models: a survey of results
Chakraborty, S.; Tomsett, R.; Raghavendra, R.; Harborne, D.; Alzantot, M.; Cerutti, F.; Srivastava, M.; Preece, A.; Julier, S.; Rao, R. M.; Kelley, T. D.; Braines, D.; Şensoy, Murat; Willis, C. J.; Gurram, P. (IEEE, 2018-06-26)Deep neural networks have achieved near-human accuracy levels in various types of classification and prediction tasks including images, text, speech, and video data. However, the networks continue to be treated mostly as ... -
Learning and reasoning in complex coalition information environments: a critical analysis
Cerutti, F.; Alzantot, M.; Xing, T.; Harborne, D.; Bakdash, J. Z.; Braines, D.; Chakraborty, S.; Kaplan, L.; Kimmig, A.; Preece, A.; Raghavendra, R.; Şensoy, Murat; Srivastava, M. (IEEE, 2018-09-05)In this paper we provide a critical analysis with metrics that will inform guidelines for designing distributed systems for Collective Situational Understanding (CSU). CSU requires both collective insight - i.e., accurate ... -
Partial observable update for subjective logic and its application for trust estimation
Kaplan, L.; Şensoy, Murat; Chakraborty, S.; de Mel, G. (Elsevier, 2015)Subjective Logic (SL) is a type of probabilistic logic, which is suitable for reasoning about situations with uncertainty and incomplete knowledge. In recent years, SL has drawn a significant amount of attention from the ... -
Reasoning under uncertainty: variations of subjective logic deduction
Kaplan, L. M.; Şensoy, Murat; Tang, Y.; Chakraborty, S.; Bisdikian, C.; de Mel, G. (IEEE, 2013)This work develops alternatives to the classical subjective logic deduction operator. Given antecedent and consequent propositions, the new operators form opinions of the consequent that match the variance of the consequent ...
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