Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Jafar Adibi"'
Autor:
Seyed Amir Mirmotalebisohi, Zahra Molavi, Sara Razi, Marzieh Sameni, Farshid Karami, Mohsen Yazdani, Mohammad Mehdi Ranjbar, Vahid Niazi, Ameneh Jafari, Amir Jafar Adibi, Payman Firouzabadi, Hakimeh Zali
Publikováno v:
Regeneration, Reconstruction & Restoration, Vol 5, Pp e4-e4 (2020)
Introduction: SARS-CoV-2, as a major threat to human health and economy, has brought in uncertain consequences in the early decade of the 21st century. Since no antiviral therapy or effective vaccine against SARS-CoV-2 is currently available, deciphe
Externí odkaz:
https://doaj.org/article/585bebd108934a5c834b8da186307267
Publikováno v:
ACM SIGKDD Explorations Newsletter. 6:136-139
In this paper we provide a summary of the workshop on Link Analysis and Group Detection (LinkKDD-2004) held in conjunction with ACM SIGKDD 2004, on August 22, Seattle, Washington, USA. We report in details about the research issues addressed in the t
Publikováno v:
ACM Transactions on Database Systems. 29:282-318
The need to search for complex and recurring patterns in database sequences is shared by many applications. In this paper, we investigate the design and optimization of a query language capable of expressing and supporting efficiently the search for
Publikováno v:
Autonomous Agents and Multi-Agent Systems. 4:115-129
Increasingly, multi-agent systems are being designed for a variety of complex, dynamic domains. Effective agent interactions in such domains raise some of the most fundamental research challenges for agent-based systems, in teamwork, multi-agent lear
Autor:
Ali Erdem, Stacy Marsella, Yaser Al-Onaizan, Gal A. Kaminka, Ion Muslea, Milind Tambe, Jafar Adibi
Publikováno v:
Artificial Intelligence. 110(2):215-239
Multi-agent collaboration or teamwork and learning are two critical research challenges in a large number of multi-agent applications. These research challenges are highlighted in RoboCup, an international project focused on robotic and synthetic soc
Autor:
Mae Ann Fuss, Michael J. Sullivan, Patrick J. Ferraro, William R. Dougherty, Joseph P. Van DeWater, Ramesh S. Patii, Karen Yarbrough, Gerard J. Fulda, C. Boyd James, Juan A. Asensio, William C. Shoemaker, Leslie Baga, George C. Velmahos, Charles C.J. Wo, Michael D. Pasquale, Durai Thangathurai, Howard Belzberg, Khalid ElTawil, Peter Roffey, Jafar Adibi, Demetrios Demetriades, James A. Murray, David Milzman
Publikováno v:
Chest. 114:1643-1652
Background Recent reports showed lack of effectiveness of pulmonary artery catheterization in critically ill medical patients and relatively late-stage surgical patients with organ failure. Since invasive monitoring requires critical care environment
Publikováno v:
ACM SIGKDD Explorations Newsletter. 7:123-125
In this paper we provide a summary of the workshop on Link Discovery: Issues, Approaches and Applications (LinkKDD-2005) held in conjunction with ACM SIGKDD 2005, on August 21 st in Chicago, Illinois, USA. We report in detail about the research issue
Autor:
Christos Faloutsos, Jafar Adibi
Publikováno v:
ACM SIGKDD Explorations Newsletter. 4:115-117
In this report we provide a summary of the first workshop on application of self-similarity and fractals in data mining: issues and approaches held in conjunction with ACM SIGKDD 2002, July 23 at Edmonton, Alberta, Canada.
Publikováno v:
DaMoN
The goal of this work is to gain insight into whether processing-in-memory (PIM) technology can be used to accelerate the performance of link discovery algorithms, which represent an important class of emerging knowledge discovery techniques. PIM chi
Autor:
Jitesh Shetty, Jafar Adibi
Publikováno v:
LinkKDD
A major problem in social network analysis and link discovery is the discovery of hidden organizational structure and selection of interesting influential members based on low-level, incomplete and noisy evidence data. To address such a challenge, we