Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Maja Stikic"'
Autor:
Goran Lukic, Vukasin Stefanovic, Srikumar Rangarajan, Ioannis Alagiannis, Marko Zivanovic, Marko Milojevic, Aleksandar Vujic, Nikola Markovic, Steve Toscano, Nikola Vujic, Milos Radic, Josep Aguilar-Saborit, Cesar A. Galindo-Legaria, Djordje Trifunovic, José A. Blakeley, Dragan Tomic, Milan Simic, Girish Dasarathy, Ana Manic, Alan Halverson, Nemanja Djurkic, Maja Stikic, Maja Damjanic, Lazar Davidovic, Bosko Mihic, Krish Srinivasan, Marko Sosic, Djordje Maksimovic, Kevin Bocksrocker, Igor Stanko, Ugljesa Milic, Marko Vukovic, Aleksandar Tomic, Slobodan Djunic, Moe Shafiei, Milos Sukovic, Bozidar Radivojevic, Sumeet Dash, Charles Feddersen, Tapas Kumar Nayak, Tomer Verona, Mahadevan Sankara, Milana Kovacevic, Nikola Kicovic, Sasa Stanojkov, Milan Ruzic, Raghu Ramakrishnan, Milan Potocnik, Veljko Vasic
Publikováno v:
Proceedings of the VLDB Endowment. 13:3204-3216
In this paper, we describe the Polaris distributed SQL query engine in Azure Synapse. It is the result of a multi-year project to re-architect the query processing framework in the SQL DW parallel data warehouse service, and addresses two main goals:
Autor:
Maja Stikic, Chris Berka, Pierre A. Balthazard, Danni Wang, Travis Richardson, David A. Waldman, Nicola M. Pless, Thomas Maak
Publikováno v:
Organizational Research Methods. 24:595-615
In this article, we describe how neuroscience can be used in the study of team dynamics. Specifically, we point out methodological limitations in current team-based research and explain how quantitative electroencephalogram technology can be applied
Autor:
Vivek Narasayya, Miodrag Radulovic, Andrija Jovanovic, Miroslav Grbic, Maja Stikic, Surajit Chaudhuri, Isidora Jovandic, Igor Ilic, Sudipto Das, Gaoxiang Xu
Publikováno v:
SIGMOD Conference
An appropriate set of indexes can result in orders of magnitude better query performance. Index management is a challenging task even for expert human administrators. Fully automating this process is of significant value. We describe the challenges,
Autor:
Maja Stikic, Chris Berka
Publikováno v:
Autonomy and Artificial Intelligence: A Threat or Savior? ISBN: 9783319597188
Autonomy and Artificial Intelligence
Autonomy and Artificial Intelligence
This chapter explores the potential of neuroscience methods to supplement traditional psychometric approaches by unobtrusively measuring team dynamics and quantifying a team’s cognitive and emotional state in real-time. The novel teaming platform i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f48339c3691a77cbcc748987d5991de2
https://doi.org/10.1007/978-3-319-59719-5_11
https://doi.org/10.1007/978-3-319-59719-5_11
Publikováno v:
Brain-Computer Interfaces. 1:99-112
This study aimed to identify the neurophysiological correlates of two primary aroused affective states related to positive and negative emotions, and to create a classification model for each second of data. General and individualized models were bui
Autor:
Chris Berka, Stephanie Korszen, Shani Waninger, Seppo P. Ahlfors, David H. Salat, Ajay Verma, Maja Stikic
Publikováno v:
Alzheimer's & Dementia. 12
In this chapter, we consider how neuroscience methods can enhance the study of team processes, as well as facilitate the development of teams. We overview exciting new neuroscience technology that can be applied to the assessment of teams in real tim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c73414281c70820d5e7ea5f9797ad983
https://doi.org/10.1108/s1479-357120150000007012
https://doi.org/10.1108/s1479-357120150000007012
In this chapter, we overview different neuroenhancement techniques that could be applied for accelerating the learning process in a number of tasks that are associated with occupational roles. The techniques range from: (1) pharmaceutical and invasiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::383e995717b163645f589edd4f97e077
https://doi.org/10.1108/s1479-357120150000007006
https://doi.org/10.1108/s1479-357120150000007006
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 33:2521-2537
This paper considers scalable and unobtrusive activity recognition using on-body sensing for context awareness in wearable computing. Common methods for activity recognition rely on supervised learning requiring substantial amounts of labeled trainin
Autor:
Maja Stikic, Djordje Popovic, Chris Berka, Richard G. Olmstead, Daniel J. Levendowski, Robin Johnson
Publikováno v:
Biological Psychology. 87:241-250
A great deal of research over the last century has focused on drowsiness/alertness detection, as fatigue-related physical and cognitive impairments pose a serious risk to public health and safety. Available drowsiness/alertness detection solutions ar