Search Results - "Desharnais, J."

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  1. 1

    Toward building RDB to HBase conversion rules by Ouanouki, R., April, A., Abran, A., Gomez, A., Desharnais, J. M.

    Published in Journal of big data (04-04-2017)
    “…Cloud data stores that can handle very large amounts of data, such as Apache HBase, have accelerated the use of non-relational databases (coined as NoSQL…”
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    Journal Article
  2. 2

    A comparison of software effort estimation techniques: Using function points with neural networks, case-based reasoning and regression models by Finnie, G.R., Wittig, G.E., Desharnais, J-M.

    Published in The Journal of systems and software (01-12-1997)
    “…Estimating software development effort remains a complex problem attracting considerable research attention. Improving the estimation techniques available to…”
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    Journal Article
  3. 3

    The metric analogue of weak bisimulation for probabilistic processes by Desharnais, J., Jagadeesan, R., Gupta, V., Panangaden, P.

    “…We observe that equivalence is not a robust concept in the presence of numerical information - such as probabilities-in the model. We develop a metric analogue…”
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    Conference Proceeding Journal Article
  4. 4

    Monomorphic characterization of n-ary direct products by Desharnais, Jules

    Published in Information sciences (02-10-1999)
    “…The relation-algebraic characterization of n-ary direct products (n-tuple-forming products) is investigated. The n-ary direct product presented is a…”
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    Journal Article
  5. 5

    Defining and applying measures of distance between specifications by Jilani, L.L., Desharnais, J., Mili, A.

    Published in IEEE transactions on software engineering (01-08-2001)
    “…Echoing Louis Pasteur's quote, we submit the premise that it is advantageous to define measures of distance between requirements specifications because such…”
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    Journal Article
  6. 6

    A relational model of cognitive maps by CHAIB-DRAA, B., DESHARNAIS, J.

    “…A useful tool for causal reasoning is the language of cognitive maps developed by political scientists to analyse, predict and understand decisions. Although,…”
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    Journal Article
  7. 7

    Approximating labeled Markov processes by Desharnais, J., Jagadeesan, R., Gupta, V., Panangaden, P.

    “…We study approximate reasoning about continuous-state labeled Markov processes. We show how to approximate a labeled Markov process by a family of finite-state…”
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    Conference Proceeding
  8. 8

    Relational characterizations of system fault tolerance by Cortellessa, V., Del Gobbo, D., Shereshevsky, M., Desharnais, J., Mili, A.

    Published in Science of computer programming (01-05-2005)
    “…Fault tolerance is the ability of a system to continue delivering its services after faults have caused errors. We have argued, in the past, that complex…”
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    Journal Article
  9. 9

    Integration of sequential scenarios by Desharnais, J., Frappier, M., Khedri, R., Mili, A.

    Published in IEEE transactions on software engineering (01-09-1998)
    “…We give a formal relation-based definition of scenarios and we show how different scenarios can be integrated to obtain a more global view of user-system…”
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    Journal Article
  10. 10

    A logical characterization of bisimulation for labeled Markov processes by Desharnais, J., Edalat, A., Panangaden, P.

    “…This paper gives a logical characterization of probabilistic bisimulation for Markov processes. Bisimulation can be characterized by a very weak modal logic…”
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    Conference Proceeding
  11. 11

    Metrics for labelled Markov processes by Desharnais, Josée, Gupta, Vineet, Jagadeesan, Radha, Panangaden, Prakash

    Published in Theoretical computer science (08-06-2004)
    “…The notion of process equivalence of probabilistic processes is sensitive to the exact probabilities of transitions. Thus, a slight change in the transition…”
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    Journal Article
  12. 12

    Labeled Markov processes: stronger and faster approximations by Danos, V., Desharnais, J.

    “…This paper proposes a measure-theoretic reconstruction of the approximation schemes developed for labeled Markov processes: approximants are seen as quotients…”
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    Conference Proceeding
  13. 13

    Bisimulation for labelled Markov processes by Blute, R., Desharnais, J., Edalat, A., Panangaden, P.

    “…In this paper we introduce a new class of labelled transition systems-Labelled Markov Processes-and define bisimulation for them. Labelled Markov processes are…”
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    Conference Proceeding
  14. 14

    Bisimulation for Labelled Markov Processes by Desharnais, Josée, Edalat, Abbas, Panangaden, Prakash

    Published in Information and computation (15-12-2002)
    “…In this paper we introduce a new class of labelled transition systems—labelled Markov processes— and define bisimulation for them. Labelled Markov processes…”
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    Journal Article
  15. 15

    Solution-Phase Combinatorial Libraries: Modulating Cellular Signaling by Targeting Protein-Protein or Protein-DNA Interactions by Boger, Dale L., Desharnais, Joel, Capps, Kevin

    Published in Angewandte Chemie International Edition (15-09-2003)
    “…The high‐throughput synthesis and screening of compound libraries hold tremendous promise for drug discovery and powerful methods for both solid‐phase and…”
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    Journal Article
  16. 16

    A relational calculus for program construction by parts by Frappier, M., Mili, A., Desharnais, J.

    Published in Science of computer programming (1996)
    “…Given a specification that includes a number of user requirements, we wish to focus on the requirements in turn, and derive a partly defined program for each;…”
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    Journal Article Conference Proceeding
  17. 17

    Small-Molecule Antagonists of Myc/Max Dimerization Inhibit Myc-Induced Transformation of Chicken Embryo Fibroblasts by Berg, Thorsten, Cohen, Steven B., Desharnais, Joel, Sonderegger, Corinna, Maslyar, Daniel J., Goldberg, Joel, Boger, Dale L., Vogt, Peter K.

    “…Myc is a transcriptional regulator of the basic helix-loop-helix leucine zipper protein family. It has strong oncogenic potential, mutated or virally…”
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    Journal Article
  18. 18

    Approximating labelled Markov processes by Desharnais, Josée, Gupta, Vineet, Jagadeesan, Radha, Panangaden, Prakash

    Published in Information and computation (01-07-2003)
    “…Labelled Markov processes are probabilistic versions of labelled transition systems. In general, the state space of a labelled Markov process may be a…”
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    Journal Article
  19. 19

    The state of the art of mobile application usability evaluation by Nayebi, F., Desharnais, J-M, Abran, A.

    “…Mobile devices and applications provide significant advantages to their users, in terms of portability, location awareness, and accessibility. A number of…”
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    Conference Proceeding
  20. 20

    Erythropoietin Mimetics Derived from Solution Phase Combinatorial Libraries by Goldberg, Joel, Jin, Qing, Ambroise, Yves, Satoh, Shigeki, Desharnais, Joel, Capps, Kevin, Boger, Dale L

    Published in Journal of the American Chemical Society (30-01-2002)
    “…The erythropoietin receptor (EPOr) is activated by ligand-induced homodimerization, which leads to the proliferation and differentiation of erythroid…”
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    Journal Article