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Computer Science Research Papers 2014

The Top 10 research papers in computer science by Mendeley ... The Top 10 research papers in computer science by Mendeley ...
6 May 2011 ... This graph shows the Top 10 papers among those who have listed computer science as their discipline and chosen a subdiscipline. The bars ...

Computer Science Research Papers 2014

We are working on a way for people to assign themselves and papers to disciplines in a more flexible way. This paper describes how to identify objects in a video stream without regard to how near or far away they are or how theyre oriented with respect to the camera. Its a fascinating piece of history related to something that has now become part of our every day lives.

My analysis focused on our second largest discipline, computer science. Presumably, those interested in popular topics such as machine learning list themselves under ai, which explains the strength of this subdiscipline, whereas papers like the mapreduce one or the google paper appeal to a broad range of subdisciplines, giving those papers a smaller numbers spread across more subdisciplines. Roughly includes material in all of acm subject class i.

We recognize that almost everyone does interdisciplinary work these days. Were working on a more flexible discipline assignment system, but for now, just pick your favorite one. This section includes theoretical and experimental research covering all facets of automatic control systems, having as focal point analysis and design methods using tools of modeling, simulation and optimization.

In particular, includes expert systems, theorem proving (although this may overlap with logic in computer science), knowledge representation, planning, and uncertainty in ai. Covers introductory material, survey material, predictions of future trends, biographies, and miscellaneous computer-science related material. Papers on computer communication systems and network protocols (e.

Programming language semantics should have programming languages as the primary subject area. The top graph summarizes the overall results of the analysis. Stanford on the subject, which probably gave this a little boost, as well.

Distributed, parallel, and cluster computing as the primary subject area. This is the classification to use for documents that do not fit anywhere else. Logics in computer science as the primary subject area. Ai, since the latest is a fuzzy and uncertain concept. Covers all theoretical and applied aspects at the intersection of computer science and game theory, including work in mechanism design, learning in games (which may overlap with learning), foundations of agent modeling in games (which may overlap with multiagent systems), coordination, specification and formal methods for non-cooperative computational environments.


Computer Science - arXiv


For a specific paper, enter the identifier into the top right search box. ... Search within the cs archive; Article statistics by year: 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 .... This section includes theoretical and experimental research covering all facets of automatic ...

Computer Science Research Papers 2014

IEEE Xplore: Computing in Science & Engineering
Computing in Science & Engineering (CiSE) is a cross-disciplinary, ... CiSE publishes peer-reviewed research articles, and also runs departments spanning ... 2010; 2011; 2012; 2013; 2014; 2015; 2016; 2017; 2018 .... View All Popular Papers ...
Computer Science Research Papers 2014 Covers all areas of cryptography and security including authentication, public key cryptosytems, Specific areas of research include nonlinear, distributed, adaptive. This is different from the other papers above in that its a descriptive piece, not primary research as above, but still deserves its place in the list and readership will only grow as we get ever closer to his vision. The area also deals with applications of game theory to areas such as electronic commerce. It turns out that interest in this paper is very strong among those who list artificial intelligence as their subdiscipline. Biological sciences (my discipline) is the largest, but i started with this one so that i could look at the data with fresh eyes, and also because its got some really cool papers to talk about. Read the latest articles of Journal of Computer and System Sciences at ScienceDirect. While this seems like a highly specialized niche area, its of importance to machine learning and ai researchers, so it was able to pull in a nice readership on mendeley. Computational complexity is typically the more appropriate subject area. If youre using mendeley, youre using both collaborative and content-based discovery methods! Now were back to more fundamental papers.
  • 13 Of 2015's Hottest Topics In Computer Science Research - Forbes


    In fact, ai researchers contributed the majority of readership to 6 out of the top 10 papers. Covers all aspects of logic in computer science, including finite model theory, logics of programs, modal logic, and program verification. Computational complexity is typically the more appropriate subject area. Especially in fast-growing fields like computer science, discipline will always be a somewhat fuzzy concept. Covers programming language semantics, language features, programming approaches (such as object-oriented programming, functional programming, logic programming).

    ). We are working on a way for people to assign themselves and papers to disciplines in a more flexible way. The interesting thing about this paper is that had some of the lowest readership scores of the top papers within a subdiscipline, but folks from across the entire spectrum of computer science are reading it. First of all, it shows that mendeley readership data is good enough to reveal both papers of long-standing importance as well as interesting upcoming trends. I would expect that the largest share of readers have it in their library mostly out of curiosity rather than direct relevance to their research.

    Topics of interest include (1) building blocks for emerging technologies, their scalability and adoption in larger systems, including integration with traditional technologies, (2) modeling, design and optimization of novel devices and systems, (3) models of computation, algorithm design and programming for emerging technologies. While this seems like a highly specialized niche area, its of importance to machine learning and ai researchers, so it was able to pull in a nice readership on mendeley. Heres what i found what i found was a fascinating list of topics, with many of the expected fundamental papers like shannons theory of information and the google paper, a strong showing from mapreduce and machine learning, but also some interesting hints that augmented reality may be becoming more of an actual reality soon. Also includes material on compilers oriented towards programming languages other material on compilers may be more appropriate in architecture (ar). Ai, since the latest is a fuzzy and uncertain concept. This is the classification to use for documents that do not fit anywhere else. We recognize that almost everyone does interdisciplinary work these days. To make sure youre counted properly, be sure you list your subdiscipline on your profile, or if you cant find your exact one, pick the closest one, like the machine learning folks did with the ai subdiscipline. Ar is the futuristic idea most familiar to the average sci-fi enthusiast as. This graph shows the top 10 papers among those who have listed.

    22 Apr 2015 ... What are currently the hot topics in computer science research? This question was originally answered on Quora by Igor Markov.

    What are the best websites to download free IEEE 2014 or 2015 ...

    Hi, you can download IEEE as well as Springer and all other journals research paper. You have to just open the research paper that you want to downoad and ...
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    Also includes topics, such as web caching, that are directly relevant to internet architecture and performance. Cs subdisciplines are represented and the axis scales and color schemes remain constant throughout. It turns out that interest in this paper is very strong among those who list artificial intelligence as their subdiscipline. Comparing yourself against others in terms of readers per paper could put a big smile on your face, or it could be a gentle nudge to get out to more conferences or maybe record a video of your technique for another thing to note is that these results dont necessarily mean that ai researchers are the most influential researchers or the most numerous, just the best at being accounted for Buy now Computer Science Research Papers 2014

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    Ar is the futuristic idea most familiar to the average sci-fi enthusiast as. Computational complexity is typically the more appropriate subject area. Reinforcement learning is essentially a technique that borrows from biology, where the behavior of an intelligent agent is is controlled by the amount of positive stimuli, or reinforcement, it receives in an environment where there are many different interacting positive and negative stimuli. I was surprised to see this paper as number one instead of shannons information theory paper (7) or the paper describing the concept that became google (3). Ai, since the latest is a fuzzy and uncertain concept.

    The bars are colored according to subdiscipline and the number of readers is shown on the x-axis Computer Science Research Papers 2014 Buy now

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    Note that work on artificial languages (programming languages, logics, formal systems) that does not explicitly address natural-language issues broadly construed (natural-language processing, computational linguistics, speech, text retrieval, etc. It turns out that interest in this paper is very strong among those who list artificial intelligence as their subdiscipline. Covers design tools, software metrics, testing and debugging, programming environments, etc. Its one of the more fundamental papers of computer science, founding the field of information theory and enabling the development of the very tubes through which you received this web page youre reading now. This is the classification to use for documents that do not fit anywhere else Buy Computer Science Research Papers 2014 at a discount

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    In the semantic web, tim berners-lee, sir tim, the inventor of the world wide web, describes his vision for the web of the future. Covers all areas of cryptography and security including authentication, public key cryptosytems, proof-carrying code, etc. This is another machine learning paper and its presence in the top 10 is primarily due to ai, with a small contribution from folks listing neural networks as their discipline, most likely due to the paper being published in ieee transactions on neural networks. The importance of the monolithic big iron supercomputer has been on the wane for decades. Also includes material on compilers oriented towards programming languages other material on compilers may be more appropriate in architecture (ar) Buy Online Computer Science Research Papers 2014

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    Its also the first place the word bit, short for binary digit, is found in the published literature. To make sure youre counted properly, be sure you list your subdiscipline on your profile, or if you cant find your exact one, pick the closest one, like the machine learning folks did with the ai subdiscipline. Covers all aspects of computing with sound, and sound as an information channel. Lda is a means of classifying objects, such as documents, based on their underlying topics. Tcpip) are generally a closer fit to the networking and internet architecture (cs.

    While i wouldnt call this paper a groundbreaking event of the caliber of the shannon paper above, i can certainly understand why it makes such a strong showing here Buy Computer Science Research Papers 2014 Online at a discount

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    The bar graphs for each paper show the distribution of readership levels among subdisciplines. Now, 10 years later, its fascinating to look back though it and see on which points the web has delivered on its promise and how far away we still remain in so many others. Logics in computer science as the primary subject area. Covers approaches to information processing (computing, communication, sensing) and bio-chemical analysis based on alternatives to silicon cmos-based technologies, such as nanoscale electronic, photonic, spin-based, superconducting, mechanical, bio-chemical and quantum technologies (this list is not exclusive). Reinforcement learning is essentially a technique that borrows from biology, where the behavior of an intelligent agent is is controlled by the amount of positive stimuli, or reinforcement, it receives in an environment where there are many different interacting positive and negative stimuli Computer Science Research Papers 2014 For Sale

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    Covers design tools, software metrics, testing and debugging, programming environments, etc. While this seems like a highly specialized niche area, its of importance to machine learning and ai researchers, so it was able to pull in a nice readership on mendeley. Roughly includes material in all of acm subject class i. Covers impact of computers on society, computer ethics, information technology and public policy, legal aspects of computing, computers and education. The importance of the monolithic big iron supercomputer has been on the wane for decades.

    The bars are colored according to subdiscipline and the number of readers is shown on the x-axis. Ai, since the latest is a fuzzy and uncertain concept For Sale Computer Science Research Papers 2014

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    This is the classification to use for documents that do not fit anywhere else. Covers applications of computer science to the mathematical modeling of complex systems in the fields of science, engineering, and finance. Covers all theoretical and applied aspects at the intersection of computer science and game theory, including work in mechanism design, learning in games (which may overlap with learning), foundations of agent modeling in games (which may overlap with multiagent systems), coordination, specification and formal methods for non-cooperative computational environments. Application areas include automotive, aerospace, process control, network control, biological systems, multiagent and cooperative control, sensor networks, control of cyberphysical and energy-related systems, control of computing systems Sale Computer Science Research Papers 2014

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