Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Sergey Malinchik"'
Autor:
Rossitza Homan, Nicholas J. Pioch, Anna Skinner, Rafael Alonso, CHristopher Geib, Fei Fang, Walter E. Beyeler, Andjelka Kelic, Martin Hofmann, James Starz, Chris Hazard, Miller Scott C, Matthew Brown, Michael Diehl, Robert Mohan, Fotis Barlos, Prithwish Basu, William Wright, Sergey Malinchik, Richard Peeke, David Van Brackle, Weiran Shen, Stephen Shellman, Laura Ma, Katherine Guo, Kerry Brown, Mark Hoffman
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::881cf4c07b5d19eefe2f518692047d75
https://doi.org/10.2172/1592839
https://doi.org/10.2172/1592839
Autor:
Sunny Kulkarni, Richard Vecsler, Sergey Malinchik, Ekaterina Levitskaya, Lani M’cleod, Yuan Shi, Stanislav Sobolevsky
Publikováno v:
Procedia Computer Science. 119:42-50
This paper addresses the topic of transportation network vulnerability within the context of the New York City subway system. We propose a network model for it and an approach based on shortest-path passenger flow simulations in order to quantify del
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f4249e59449eaa8d1247467e9c48656
https://doi.org/10.1016/j.procs.2017.11.158
https://doi.org/10.1016/j.procs.2017.11.158
Autor:
Sergey Malinchik, Stanislav Sobolevsky, Mark Hoffman, Cheng Qian, Philipp Kats, Constantine E. Kontokosta, Brian Kettler
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319607467
AHFE (26)
AHFE (26)
We evaluate the utility of geo-tagged Twitter data for inferring a network of human mobility in the New York City through a quantitative and qualitative comparison of the Twitter-based mobility network during business hours versus the ground-truth ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2123a16603e85d6a4c20500c458036b5
https://doi.org/10.1007/978-3-319-60747-4_4
https://doi.org/10.1007/978-3-319-60747-4_4
The goal of DESPIC project was developing a technological infrastructure to automatically detect orchestrated campaigns on social media in their early stage of diffusion. Such campaigns include rumors, spread of misinformation, persuasion attempts, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c69ef72059bdeb95fb41cd90eca11e3d
https://doi.org/10.21236/ada624811
https://doi.org/10.21236/ada624811
The team worked at the evaluation of its algorithm to discriminate between trending and promoted topic on Twitter, with excellent results. We continued developing the underlying SAX-VSM approach to represent time series as its proving a convenient an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43239929af90e0bf0b6376cdc058d67b
https://doi.org/10.21236/ada581718
https://doi.org/10.21236/ada581718
Autor:
Pavel Senin, Sergey Malinchik
Publikováno v:
ICDM
In this paper, we propose a novel method for discovering characteristic patterns in a time series called SAX-VSM. This method is based on two existing techniques - Symbolic Aggregate approximation and Vector Space Model. SAX-VSM automatically discove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c68b025ce8e410b88eb8035b262838e8
https://doi.org/10.21236/ada603196
https://doi.org/10.21236/ada603196
Our group has been working in the following directions: 1. Testing and tuning our time series classification algorithm, 2. Perfectioning the use of entropy in language models as a tool to reconstruct the context of a given meme/conversation, 3. forma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7efb8e2efa674b68135eca6863df91fe
https://doi.org/10.21236/ada586779
https://doi.org/10.21236/ada586779
Autor:
Sergey Malinchik
Publikováno v:
Power and Energy Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::522d14eeecc9942ee9c0ed437daa11d3
https://doi.org/10.2316/p.2011.714-083
https://doi.org/10.2316/p.2011.714-083
Autor:
Sergey Malinchik, Mallikarjun Shankar, Mohammed M. Olama, Barry Ives, Sreenivas R. Sukumar, James J. Nutaro
Publikováno v:
2010 IEEE Energy Conversion Congress and Exposition.
The U.S federal government's strategic vision encouraging renewable energy production has motivated several new energy generation projects. Among them are large-scale renewable energy farm building efforts, where one considers the renewable resource
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a20357eff521d790b880d350f8e9dfd8
https://doi.org/10.1109/ecce.2010.5617942
https://doi.org/10.1109/ecce.2010.5617942