Affective Computing as Complex Systems Science
Procedia Computer Science, 2016 AbstractPioneered in the early ‘90s by Rosalind Picard, a professor and IEEE Fellow of the MIT Media Lab, Affective Computing – rooted originally in artificial intelligence – now branches into wearable computing, big data, psychology, neuroscience, and modeling in order to advance the knowledge, understanding, and development of systems for sensing ...
Lee, William, Norman, Michael D.
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Curricular Complexity Versus Quality of Computer Science Programs
, 2020 In this research paper we describe a study that involves measuring the complexities of undergraduate curricula offered by computer science departments, and then comparing them to the quality of these departments, where quality is determined by a metric-based ranking system.
Heileman, Gregory L. +5 more
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Promoting learning transfer in science through a complexity approach and computational modeling
Instructional Science, 2023 This article concerns the synergy between science learning, understanding complexity, and computational thinking (CT), and their impact on near and far learning transfer. The potential relationship between computer-based model construction and knowledge transfer has yet to be explored.
Janan Saba +2 more
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Computer science, computer, computational complexity
Chebyshevskii sbornik, 2021 Vladimir Nikolaevich Chubarikov +3 more
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Modelling Complexity with Unconventional Data: Foundational Issues in Computational Social Science
, 2022 Abstract The large availability of data, often from unconventional sources, does not call for a data-driven and theory-free approach to social science. On the contrary, (big) data eventually unveil the complexity of socio-economic relations, which has been too often disregarded in traditional approaches.
Magda Fontana, Marco Guerzoni
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Evaluation complexity of tasks in computer science courses
RUDN Journal of Informatization in Education, 2014 The article defines the concept of information capacity as a criterion for estimating the complexity of tasks. Considered information model problem-solving process.
L A Lukina, N V Sidorova, N G Kuzina
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Average Case ϵ-Complexity in Computer Science: A Bayesian View
, 1983 Relations between average case ϵ-complexity and Bayesian statistics are discussed. An algorithm corresponds to a decision function, and the choice of information to the choice of an experiment. Adaptive information in ϵ-complexity theory corresponds to the concept of sequential experiment.
Kadane, Joseph B. +1 more
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[Computed tomography in the Multidisciplinary Science and Technology Complex "Eye Microsurgery"].
Vestnik rentgenologii i radiologii, 1989 The paper is devoted to analysis of the results of CT in 1000 patients examined in the Multibranch Research and Technology Complex "Eye Microsurgery". The specific feature of CT in this institution is that 52% of all investigations of ophthalmological patients fall to the share of eyeball abnormality and 40%--to a study of the other parts of the organ ...
S N, Fedorov +4 more
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Robust ISAC based framework for location estimation and target detection in 6G networks. [PDF]
PLoS OneSoni L +3 more
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Computational modelling and network medicine in drug toxicology and clinical pharmacovigilance. [PDF]
J Transl MedZhao Q, Li X, Balan V.
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