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1
Search for New Phenomena in Two-Body Invariant Mass Distributions Using Unsupervised Machine Learning for Anomaly Detection at ffiffi s p =13TeV with the ATLAS Detector
Search for New Phenomena in Two-Body Invariant Mass Distributions Using Unsupervised Machine Learning for Anomaly Detection at ffiffi s p =13TeV with the ATLAS Detector
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Artículo 		Añadir a Mi Portal

Search for New Phenomena in Two-Body Invariant Mass Distributions Using Unsupervised Machine Learning for Anomaly Detection at ffiffi s p =13TeV with the ATLAS Detector

G Aad Marisilvia Donadelli; Marco Aurelio Lisboa Leite

Physical Review Letters Woodbury V. 132, 081801, 20 February 2024

Woodbury The Society 2024

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2
Search for New Phenomena in Two-Body Invariant Mass Distributions Using Unsupervised Machine Learning for Anomaly Detection at ffiffi s p =13TeV with the ATLAS Detector
Search for New Phenomena in Two-Body Invariant Mass Distributions Using Unsupervised Machine Learning for Anomaly Detection at ffiffi s p =13TeV with the ATLAS Detector
Material Type:
Artículo 		Añadir a Mi Portal

Search for New Phenomena in Two-Body Invariant Mass Distributions Using Unsupervised Machine Learning for Anomaly Detection at ffiffi s p =13TeV with the ATLAS Detector

G Aad Marisilvia Donadelli; Marco Aurelio Lisboa Leite

The European Physical Journal C New York V. 84, number 195, p. 1-29, 2024

New York Springer 2024

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3
Music structural problems and conception of mathematical ratio in teaching/learning contexts a historic/educational approach
Music structural problems and conception of mathematical ratio in teaching/learning contexts a historic/educational approach
Material Type:
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Music structural problems and conception of mathematical ratio in teaching/learning contexts a historic/educational approach

Oscar João Abdounur

Atiner's Conference Paper Series Athens EDU2015-1635

Athens 2015

Acceso en línea. La biblioteca tiene también copias físicas.

4
Virtual experimentation, R&D performance and learning the impact of information technology on Brazilian industry
Virtual experimentation, R&D performance and learning the impact of information technology on Brazilian industry
Material Type:
Artículo de Congreso 		Añadir a Mi Portal

Virtual experimentation, R&D performance and learning the impact of information technology on Brazilian industry

Eder Oliveira Abensur Paulo Tromboni de Souza Nascimento; Israel Brunstein 1936-2008; Americas Conference on Information Systems - AMCIS (10. 2004 New York)

Proceedings Atlanta : Association for Information Systems, 2004

Atlanta Association for Information Systems 2004

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5
Anchoring discussions in lecture an approach to collaboratively extending classroom digital media
Anchoring discussions in lecture an approach to collaboratively extending classroom digital media
Material Type:
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Anchoring discussions in lecture an approach to collaboratively extending classroom digital media

Gregory Abowd Maria da Graça Campos Pimentel; Bolot Kerimbaev; Yoshihide Ishiguro; Mark Guzdial; Conference on Computer Support for Collaborative Learning - CSCL (1999 Palo Alto)

Proceedings Mahwah : Lawrence Erlbaum Associates, 1999

Mahwah Lawrence Erlbaum Associates 1999

Acceso en línea. La biblioteca tiene también copias físicas.

6
Evaluation of machine learning based models to predict the bulk density in the flash sintering process
Evaluation of machine learning based models to predict the bulk density in the flash sintering process
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Evaluation of machine learning based models to predict the bulk density in the flash sintering process

Mariana Gomes de Abreu Eliria Maria de Jesus Agnolon Pallone; Julieta Adriana Ferreira; João Vitor Campos; Rafael Vieira de Sousa

Materials Today Communications Amsterdam v. 27, art. 102220, p. 1-5, 2021

Amsterdam 2021

Disponible en FZEA - Fac. Zoot. Eng. de Alimentos    (PCD 2021 Eva )(Obténgalo)

7
Editorial variable impedance control and learning in complex interaction scenarios: challenges and opportunities
Editorial variable impedance control and learning in complex interaction scenarios: challenges and opportunities
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Editorial variable impedance control and learning in complex interaction scenarios: challenges and opportunities

Fares J. Abu-Dakka Matteo Saveriano; Meghan E Huber; Thiago Boaventura Cunha

IEEE Robotics and Automation Letters Piscataway, NJ, USA : IEEE, 2022 v. 7, n. 4, p. 12158-12160, Oct. 2022

Piscataway, NJ, USA IEEE 2022

Disponible en EESC - Esc. Engenharia de São Carlos    (PROD-025450 )(Obténgalo)

8
Transfer learning with cluster ensembles
Transfer learning with cluster ensembles
Material Type:
Artículo de Congreso 		Añadir a Mi Portal

Transfer learning with cluster ensembles

Ayan Acharya Eduardo Raul Hruschka 1972-; Joydeep Ghosh; Sreangsu Acharyya; International Conference on Machine Learning - ICML (28. 2011 Bellevue, Washigton); Workshop on Unsupervised and Transfer Learning (2011 Bellevue, Washigton)

JMLR: Workshop and Conference Proceedings Brookline : Microtome Publishing v. 27, p. 123-133, 2012

Brookline Microtome Publishing 2012

Acceso en línea. La biblioteca tiene también copias físicas.

9
Using both latent and supervised shared topics for multitask learning
Using both latent and supervised shared topics for multitask learning
Material Type:
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Using both latent and supervised shared topics for multitask learning

Ayan Acharya Aditya Rawal; Raymond J Mooney; Eduardo Raul Hruschka 1972-; European Conference on Machine Learning and Knowledge Discovery in Databases - ECML PKDD (2013 Prague, Czech Republic)

Lecture Notes in Artificial Intelligence Berlin : Springer-Verlag v. 8189, p. 369-384, 2013

Berlin Springer-Verlag 2013

Disponible en ICMC - Inst. Ciên. Mat. Computação    (PROD-2418260 )(Obténgalo)

10
Probabilistic combination of classifier and cluster ensembles for non-transductive learning
Probabilistic combination of classifier and cluster ensembles for non-transductive learning
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Probabilistic combination of classifier and cluster ensembles for non-transductive learning

Ayan Acharya Eduardo Raul Hruschka 1972-; Joydeep Ghosh; Badrul Sarwar; Jean-David Ruvini; SIAM International Conference on Data Mining (13. 2013 Austin, Texas)

Proceedings Philadelphia : SIAM, 2013

Philadelphia SIAM 2013

Acceso en línea. La biblioteca tiene también copias físicas.

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por este autor/creador:

  1. Isotani, S
  2. Carvalho, A
  3. Liang, Z
  4. Barbosa, E
  5. Marcacini, R

con este tema:

  1. Aprendizado Computacional
  2. Inteligência Artificial
  3. Aprendizagem
  4. Redes Neurais
  5. Educação A Distância

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