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Institution

Instituto Politécnico Nacional

EducationMexico City, Mexico
About: Instituto Politécnico Nacional is a education organization based out in Mexico City, Mexico. It is known for research contribution in the topics: Population & Control theory. The organization has 43351 authors who have published 63315 publications receiving 938532 citations. The organization is also known as: Instituto Politécnico Nacional & Instituto Politecnico Nacional.


Papers
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Journal ArticleDOI
TL;DR: Liu et al. as mentioned in this paper used Rankins' ratings over the 2009 to 2013 period to show that a greater gender balance in top-management supports stronger CSR performance in Chinese listed firms.

433 citations

Journal ArticleDOI
TL;DR: A critical review on the processing and application of rice husks (RHs) for the production of various silicon-based materials and of active carbon is presented in this paper, which addresses the different processing methods, the effects of various process parameters on the pyrolysis stage, the influence of physical, chemical and thermal treatments, activating conditions and activated carbon consolidation mechanisms.

433 citations

Journal ArticleDOI
TL;DR: The state of knowledge on the effects that diabetes-like conditions exert on the cells responsible for ECM production is reviewed as well as relevant experimental and clinical data.

432 citations

Journal ArticleDOI
TL;DR: In this article, a quadrature voltage-controlled oscillator (QVCO) based on the coupling of two LC-tank VCOs is presented, and a simplified theoretical analysis for the oscillation frequency and phase noise displayed by the QVCO in the 1/f/sup 3/ region is developed, and good agreement is found between theory and simulation results.
Abstract: This paper presents a quadrature voltage-controlled oscillator (QVCO) based on the coupling of two LC-tank VCOs A simplified theoretical analysis for the oscillation frequency and phase noise displayed by the QVCO in the 1/f/sup 3/ region is developed, and good agreement is found between theory and simulation results A prototype for the QVCO was implemented in a 035-/spl mu/m CMOS process with three standard metal layers The QVCO could be tuned between 164 and 197 GHz, and showed a phase noise of -140 dBc/Hz or less across the tuning range at a 3-MHz offset frequency from the carrier, for a current consumption of 25 mA from a 2-V power supply The equivalent phase error between I and Q signals was at most 025/spl deg/

428 citations

Journal ArticleDOI
17 Jul 2019
TL;DR: A new method based on recurrent neural networks that keeps track of the individual party states throughout the conversation and uses this information for emotion classification and outperforms the state of the art by a significant margin on two different datasets.
Abstract: Emotion detection in conversations is a necessary step for a number of applications, including opinion mining over chat history, social media threads, debates, argumentation mining, understanding consumer feedback in live conversations, and so on. Currently systems do not treat the parties in the conversation individually by adapting to the speaker of each utterance. In this paper, we describe a new method based on recurrent neural networks that keeps track of the individual party states throughout the conversation and uses this information for emotion classification. Our model outperforms the state-of-the-art by a significant margin on two different datasets.

426 citations


Authors

Showing all 43548 results

NameH-indexPapersCitations
Giacomo Bruno1581687124368
Giuseppe Mancia1451369139692
Giorgio Maggi135132390270
Salvatore Nuzzo133153391600
Giuseppe Iaselli133151491558
Marcello Abbrescia132140084486
Louis Antonelli132108983916
Donato Creanza132145289206
Alexis Pompili131143786312
Gabriella Pugliese131130988714
Giovanna Selvaggi131115983274
Heriberto Castilla-Valdez130165993912
Ricardo Lopez-Fernandez129121381575
Cesare Calabria128109576784
Paolo Vitulo128112079498
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202362
2022367
20214,942
20205,245
20194,787
20184,485