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Karanik, Marcelo
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1

Ontological Modeling and Clustering Techniques for Service ..:

Karanik, Marcelo ; Bernabé-Sánchez, Iván ; Fernández, Alberto
Electronics.  13 (2024)  3 - p. 477 , 2024
Link: https://doi.org/10.3390/..
 
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2

On the relevance of value system structure for automated va..:

, In: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing,
Karanik, Marcelo ; Billhardt, Holger ; Fernández, Alberto. - p. 679-686 , 2024
Link: https://dl.acm.org/doi/1..
 
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3

Edge Service Allocation Based on Clustering Techniques:

, In: Lecture Notes in Networks and Systems; Trends in Sustainable Smart Cities and Territories,
Karanik, Marcelo ; Bernabé-Sánchez, Iván ; Fernández, Alberto - p. 429-441 , 2023
Link: https://doi.org/10.1007/..
 
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4

Reliability of ranking-based decision methods: a new perspe..:

Karanik, Marcelo ; Gomez-Ruiz, Jose Antonio ; Peláez, José Ignacio.
Soft Computing.  24 (2020)  15 - p. 11769-11790 , 2020
Link: https://doi.org/10.1007/..
 
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5

Combining user preferences and expert opinions: a criteria ..:

Karanik, Marcelo ; Bernal, Rubén ; Peláez, José Ignacio.
Soft Computing.  23 (2017)  4 - p. 1357-1373 , 2017
Link: https://doi.org/10.1007/..
 
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6

Selective majority additive ordered weighting averaging ope..:

Karanik, Marcelo ; Peláez, José Ignacio ; Bernal, Rubén
European Journal of Operational Research.  250 (2016)  3 - p. 816-826 , 2016
Link: https://doi.org/10.1016/..
 
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7

Reconstruction methods for AHP pairwise matrices: How relia..:

Karanik, Marcelo ; Wanderer, Leonardo ; Gomez-Ruiz, Jose Antonio.
Applied Mathematics and Computation.  279 (2016)  - p. 103-124 , 2016
Link: https://doi.org/10.1016/..
 
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8

Estimation of missing judgments in AHP pairwise matrices us..:

Gomez-Ruiz, Jose Antonio ; Karanik, Marcelo ; Peláez, José Ignacio
Applied Mathematics and Computation.  216 (2010)  10 - p. 2959-2975 , 2010
Link: https://doi.org/10.1016/..
 
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9

Study of Academic Performance Profile: An Approach from Dat..:

La Red Martinez, David ; Karanik, Marcelo ; Giovannini, Mirtha.
https://rtyc.utn.edu.ar/index.php/rtyc/article/view/428/287.  , 2019
Link: https://rtyc.utn.edu.ar/..
 
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10

Hacia un modelo predictivo de rendimiento académico utiliza..:

La Red Martínez, David L ; Karanik, Marcelo J ; Giovannini, Mirtha E.
http://sedici.unlp.edu.ar/handle/10915/53320.  , 2016
Link: http://sedici.unlp.edu.a..
 
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11

Descubrimiento de perfiles de rendimiento estudiantil: un m..:

Red Martínez, David Luis la ; Karanik, Marcelo ; Giovannini, Mirtha..
http://hdl.handle.net/10272/17311.  , 2016
Link: http://hdl.handle.net/10..
 
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12

Determinación de perfiles de rendimiento académico utilizan..:

La Red Martínez, David L ; Karanik, Marcelo J ; Giovannini, Mirtha E.
http://sedici.unlp.edu.ar/handle/10915/46288.  , 2015
Link: http://sedici.unlp.edu.a..
 
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13

ACADEMIC PERFORMANCE PROFILES: A DESCRIPTIVE MODEL BASED ON..:

Martínez, David L.la Red ; Karanik, Marcelo ; Giovannini, Mirtha.
https://eujournal.org/index.php/esj/article/view/5277/5086.  , 2015
Link: https://eujournal.org/in..
 
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14

Perfiles de Rendimiento Académico: Un Modelo Basado en Mine..:

Red Martínez, David Luis la ; Karanik, Marcelo ; Giovannini, Mirtha.
http://hdl.handle.net/10272/17355.  , 2015
Link: http://hdl.handle.net/10..
 
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15

Determinación de perfiles de estudiantes y de rendimiento a..:

La Red Martínez, David L ; Karanik, Marcelo J ; Giovannini, Mirtha E
http://sedici.unlp.edu.ar/handle/10915/43841.  , 2014
Link: http://sedici.unlp.edu.a..
 
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