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You searched for subject:(Attention Mechanism). Showing records 1 – 17 of 17 total matches.

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NSYSU

1. Hsiao, Po-Wei. Deep Neural Networks and Ensemble Learning with Application to Speech Emotion Recognition.

Degree: Master, Computer Science and Engineering, 2018, NSYSU

 This study uses deep neural networks to construct the static and dynamic speech emotion recognition systems and integrates the static and dynamic models by ensemble… (more)

Subjects/Keywords: attention mechanism; speech emotion recognition; ensemble learning; deep neural networks

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hsiao, P. (2018). Deep Neural Networks and Ensemble Learning with Application to Speech Emotion Recognition. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0730118-100155

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hsiao, Po-Wei. “Deep Neural Networks and Ensemble Learning with Application to Speech Emotion Recognition.” 2018. Thesis, NSYSU. Accessed March 01, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0730118-100155.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hsiao, Po-Wei. “Deep Neural Networks and Ensemble Learning with Application to Speech Emotion Recognition.” 2018. Web. 01 Mar 2021.

Vancouver:

Hsiao P. Deep Neural Networks and Ensemble Learning with Application to Speech Emotion Recognition. [Internet] [Thesis]. NSYSU; 2018. [cited 2021 Mar 01]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0730118-100155.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hsiao P. Deep Neural Networks and Ensemble Learning with Application to Speech Emotion Recognition. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0730118-100155

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Delft University of Technology

2. Li, Jiahui (author). Attention-Aware Age-Agnostic Visual Place Recognition.

Degree: 2019, Delft University of Technology

 A cross-domain visual place recognition (VPR) task is proposed in this work, i.e., matching images of the same architectures depicted in different domains. VPR is… (more)

Subjects/Keywords: Computer Vision; Domain Adaptation; Image Matching; Attention Mechanism

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Li, J. (. (2019). Attention-Aware Age-Agnostic Visual Place Recognition. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:250d37a9-bc0d-4f8f-8d1a-d31a98dc22d7

Chicago Manual of Style (16th Edition):

Li, Jiahui (author). “Attention-Aware Age-Agnostic Visual Place Recognition.” 2019. Masters Thesis, Delft University of Technology. Accessed March 01, 2021. http://resolver.tudelft.nl/uuid:250d37a9-bc0d-4f8f-8d1a-d31a98dc22d7.

MLA Handbook (7th Edition):

Li, Jiahui (author). “Attention-Aware Age-Agnostic Visual Place Recognition.” 2019. Web. 01 Mar 2021.

Vancouver:

Li J(. Attention-Aware Age-Agnostic Visual Place Recognition. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Mar 01]. Available from: http://resolver.tudelft.nl/uuid:250d37a9-bc0d-4f8f-8d1a-d31a98dc22d7.

Council of Science Editors:

Li J(. Attention-Aware Age-Agnostic Visual Place Recognition. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:250d37a9-bc0d-4f8f-8d1a-d31a98dc22d7


University of Melbourne

3. Chen, Jian. The role of attention in subitizing.

Degree: 2019, University of Melbourne

 This thesis aimed to address a long-standing question: “Why are small numbers of items enumerated differently from large numbers of items?” (Trick & Pylyshyn, 1993,… (more)

Subjects/Keywords: subitizing; counting; enumeration; attention; Posner cueing paradigm; visual enumeration mechanism

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APA (6th Edition):

Chen, J. (2019). The role of attention in subitizing. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/230741

Chicago Manual of Style (16th Edition):

Chen, Jian. “The role of attention in subitizing.” 2019. Doctoral Dissertation, University of Melbourne. Accessed March 01, 2021. http://hdl.handle.net/11343/230741.

MLA Handbook (7th Edition):

Chen, Jian. “The role of attention in subitizing.” 2019. Web. 01 Mar 2021.

Vancouver:

Chen J. The role of attention in subitizing. [Internet] [Doctoral dissertation]. University of Melbourne; 2019. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/11343/230741.

Council of Science Editors:

Chen J. The role of attention in subitizing. [Doctoral Dissertation]. University of Melbourne; 2019. Available from: http://hdl.handle.net/11343/230741


Brno University of Technology

4. Hradil, Jaromír. Rozpoznávání řeči překrývajících se řečníků pomocí neuronových sítí: Recognition of Multi-Talker Overlapping Speech Using Neural Networks.

Degree: 2020, Brno University of Technology

 This work deals with the speech recognition of overlapping speakers using a neural network. It examines the problem of speech recognition from multiple speakers and… (more)

Subjects/Keywords: rozpoznávání řeči; neuronové sítě; attention mechanismus; překrývající se řeč; speech recognition; neural networks; attention mechanism; overlapping speech

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hradil, J. (2020). Rozpoznávání řeči překrývajících se řečníků pomocí neuronových sítí: Recognition of Multi-Talker Overlapping Speech Using Neural Networks. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/191516

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hradil, Jaromír. “Rozpoznávání řeči překrývajících se řečníků pomocí neuronových sítí: Recognition of Multi-Talker Overlapping Speech Using Neural Networks.” 2020. Thesis, Brno University of Technology. Accessed March 01, 2021. http://hdl.handle.net/11012/191516.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hradil, Jaromír. “Rozpoznávání řeči překrývajících se řečníků pomocí neuronových sítí: Recognition of Multi-Talker Overlapping Speech Using Neural Networks.” 2020. Web. 01 Mar 2021.

Vancouver:

Hradil J. Rozpoznávání řeči překrývajících se řečníků pomocí neuronových sítí: Recognition of Multi-Talker Overlapping Speech Using Neural Networks. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/11012/191516.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hradil J. Rozpoznávání řeči překrývajících se řečníků pomocí neuronových sítí: Recognition of Multi-Talker Overlapping Speech Using Neural Networks. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/191516

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Lehigh University

5. Nguyen, Chanh. Two approaches to defend against adversarial examples: Attention-based and Certificate-based.

Degree: MS, Computer Science, 2018, Lehigh University

 In this paper, we present two different novel approaches to defend against adversarial examples in neural networks: attention-based against pixel-based attack and certificate-based against spatially… (more)

Subjects/Keywords: Adversarial examples; Attention mechanism; Deep learning; Machine learning; Provable security; Computer Sciences

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APA (6th Edition):

Nguyen, C. (2018). Two approaches to defend against adversarial examples: Attention-based and Certificate-based. (Thesis). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/4363

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Nguyen, Chanh. “Two approaches to defend against adversarial examples: Attention-based and Certificate-based.” 2018. Thesis, Lehigh University. Accessed March 01, 2021. https://preserve.lehigh.edu/etd/4363.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nguyen, Chanh. “Two approaches to defend against adversarial examples: Attention-based and Certificate-based.” 2018. Web. 01 Mar 2021.

Vancouver:

Nguyen C. Two approaches to defend against adversarial examples: Attention-based and Certificate-based. [Internet] [Thesis]. Lehigh University; 2018. [cited 2021 Mar 01]. Available from: https://preserve.lehigh.edu/etd/4363.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nguyen C. Two approaches to defend against adversarial examples: Attention-based and Certificate-based. [Thesis]. Lehigh University; 2018. Available from: https://preserve.lehigh.edu/etd/4363

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


York University

6. Abbaszadegan, Mahdieh. An Encoder-Decoder Based Basecaller for Nanopore DNA Sequencing.

Degree: MASc - Master of Applied Science, Electrical and Computer Engineering, 2019, York University

 Nanopore DNA sequencing is a method in which DNA bases are determined (basecalled) using electric current signals generated by passing DNA through nanopore sensors. The… (more)

Subjects/Keywords: Computer science; DNA Sequencing; Nanopore Sequencing; Deep Learning; Recurrent Neural Networks; Seq2seq; Attention Mechanism

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APA (6th Edition):

Abbaszadegan, M. (2019). An Encoder-Decoder Based Basecaller for Nanopore DNA Sequencing. (Masters Thesis). York University. Retrieved from http://hdl.handle.net/10315/36268

Chicago Manual of Style (16th Edition):

Abbaszadegan, Mahdieh. “An Encoder-Decoder Based Basecaller for Nanopore DNA Sequencing.” 2019. Masters Thesis, York University. Accessed March 01, 2021. http://hdl.handle.net/10315/36268.

MLA Handbook (7th Edition):

Abbaszadegan, Mahdieh. “An Encoder-Decoder Based Basecaller for Nanopore DNA Sequencing.” 2019. Web. 01 Mar 2021.

Vancouver:

Abbaszadegan M. An Encoder-Decoder Based Basecaller for Nanopore DNA Sequencing. [Internet] [Masters thesis]. York University; 2019. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10315/36268.

Council of Science Editors:

Abbaszadegan M. An Encoder-Decoder Based Basecaller for Nanopore DNA Sequencing. [Masters Thesis]. York University; 2019. Available from: http://hdl.handle.net/10315/36268


Brno University of Technology

7. Dronzeková, Michaela. Analýza polygonálních modelů pomocí neuronových sítí: Analysis of Polygonal Models Using Neural Networks.

Degree: 2020, Brno University of Technology

 This thesis deals with rotation estimation of 3D model of human jaw. It describes and compares methods for direct analysis od 3D models as well… (more)

Subjects/Keywords: polygoniálne modely; neurónové siete; odhad rotácie; attention mechanizmus; transformer; grafové konvolučné siete; polygonal models; neural networks; rotation estimation; attention mechanism; transformer; graph convolutional network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dronzeková, M. (2020). Analýza polygonálních modelů pomocí neuronových sítí: Analysis of Polygonal Models Using Neural Networks. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/192482

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dronzeková, Michaela. “Analýza polygonálních modelů pomocí neuronových sítí: Analysis of Polygonal Models Using Neural Networks.” 2020. Thesis, Brno University of Technology. Accessed March 01, 2021. http://hdl.handle.net/11012/192482.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dronzeková, Michaela. “Analýza polygonálních modelů pomocí neuronových sítí: Analysis of Polygonal Models Using Neural Networks.” 2020. Web. 01 Mar 2021.

Vancouver:

Dronzeková M. Analýza polygonálních modelů pomocí neuronových sítí: Analysis of Polygonal Models Using Neural Networks. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/11012/192482.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dronzeková M. Analýza polygonálních modelů pomocí neuronových sítí: Analysis of Polygonal Models Using Neural Networks. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/192482

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Leiden University

8. Lottes, Niklas R.L. Does sustained attention mediate the relationship between mindfulness and depression and anxiety symptoms?.

Degree: 2015, Leiden University

Subjects/Keywords: Mindfulness; Sustained attention; Psychological distress; Working mechanism

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APA (6th Edition):

Lottes, N. R. L. (2015). Does sustained attention mediate the relationship between mindfulness and depression and anxiety symptoms?. (Masters Thesis). Leiden University. Retrieved from http://hdl.handle.net/1887/35179

Chicago Manual of Style (16th Edition):

Lottes, Niklas R L. “Does sustained attention mediate the relationship between mindfulness and depression and anxiety symptoms?.” 2015. Masters Thesis, Leiden University. Accessed March 01, 2021. http://hdl.handle.net/1887/35179.

MLA Handbook (7th Edition):

Lottes, Niklas R L. “Does sustained attention mediate the relationship between mindfulness and depression and anxiety symptoms?.” 2015. Web. 01 Mar 2021.

Vancouver:

Lottes NRL. Does sustained attention mediate the relationship between mindfulness and depression and anxiety symptoms?. [Internet] [Masters thesis]. Leiden University; 2015. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1887/35179.

Council of Science Editors:

Lottes NRL. Does sustained attention mediate the relationship between mindfulness and depression and anxiety symptoms?. [Masters Thesis]. Leiden University; 2015. Available from: http://hdl.handle.net/1887/35179


University of Tennessee – Knoxville

9. Rahimpour, Alireza. Attention Mechanism for Recognition in Computer Vision.

Degree: 2019, University of Tennessee – Knoxville

 It has been proven that humans do not focus their attention on an entire scene at once when they perform a recognition task. Instead, they… (more)

Subjects/Keywords: Attention mechanism; Machine learning; Deep Learning; Computer Vision; Meta-learning; Image retrieval and matching; Person Re-identification; Object detection; Feature selection.

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APA (6th Edition):

Rahimpour, A. (2019). Attention Mechanism for Recognition in Computer Vision. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/5592

Chicago Manual of Style (16th Edition):

Rahimpour, Alireza. “Attention Mechanism for Recognition in Computer Vision.” 2019. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed March 01, 2021. https://trace.tennessee.edu/utk_graddiss/5592.

MLA Handbook (7th Edition):

Rahimpour, Alireza. “Attention Mechanism for Recognition in Computer Vision.” 2019. Web. 01 Mar 2021.

Vancouver:

Rahimpour A. Attention Mechanism for Recognition in Computer Vision. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2019. [cited 2021 Mar 01]. Available from: https://trace.tennessee.edu/utk_graddiss/5592.

Council of Science Editors:

Rahimpour A. Attention Mechanism for Recognition in Computer Vision. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2019. Available from: https://trace.tennessee.edu/utk_graddiss/5592


KTH

10. Navarro, Abgeiba Yaroslava Isunza. Evaluation of Attention Mechanisms for Just-In-Time Software Defect Prediction.

Degree: Electrical Engineering and Computer Science (EECS), 2020, KTH

Just-In-Time Software Defect Prediction (JIT-DP) focuses on predicting errors in software at change-level with the objective of helping developers identify defects while the development… (more)

Subjects/Keywords: Just-in-Time Software Defect Prediction; Attention Mechanism; Convolutional Neural Network; Feature Extraction; Just-in-Time Software Defect Prediction; Attention Mechanism; Convolutional Neural Network; Feature Extraction; Computer and Information Sciences; Data- och informationsvetenskap

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APA (6th Edition):

Navarro, A. Y. I. (2020). Evaluation of Attention Mechanisms for Just-In-Time Software Defect Prediction. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-288724

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Navarro, Abgeiba Yaroslava Isunza. “Evaluation of Attention Mechanisms for Just-In-Time Software Defect Prediction.” 2020. Thesis, KTH. Accessed March 01, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-288724.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Navarro, Abgeiba Yaroslava Isunza. “Evaluation of Attention Mechanisms for Just-In-Time Software Defect Prediction.” 2020. Web. 01 Mar 2021.

Vancouver:

Navarro AYI. Evaluation of Attention Mechanisms for Just-In-Time Software Defect Prediction. [Internet] [Thesis]. KTH; 2020. [cited 2021 Mar 01]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-288724.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Navarro AYI. Evaluation of Attention Mechanisms for Just-In-Time Software Defect Prediction. [Thesis]. KTH; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-288724

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Delft University of Technology

11. Tomy, Abhishek (author). Predicting pedestrian path using optical flow as context cue.

Degree: 2020, Delft University of Technology

 A human driver can gauge the intention and signals given by other road users indicative of their future behaviour. The intentions and signals are identified… (more)

Subjects/Keywords: path prediction; Pedestrian; Pedestrian Crossing Behaviour; Recurrent Neural Network; Attention Mechanism; Optical flow; Vulnerable Road User; deep learning; Intelligent Vehicles; autonomous driving

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tomy, A. (. (2020). Predicting pedestrian path using optical flow as context cue. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:1212737e-7b76-4339-94f8-722f443b4764

Chicago Manual of Style (16th Edition):

Tomy, Abhishek (author). “Predicting pedestrian path using optical flow as context cue.” 2020. Masters Thesis, Delft University of Technology. Accessed March 01, 2021. http://resolver.tudelft.nl/uuid:1212737e-7b76-4339-94f8-722f443b4764.

MLA Handbook (7th Edition):

Tomy, Abhishek (author). “Predicting pedestrian path using optical flow as context cue.” 2020. Web. 01 Mar 2021.

Vancouver:

Tomy A(. Predicting pedestrian path using optical flow as context cue. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Mar 01]. Available from: http://resolver.tudelft.nl/uuid:1212737e-7b76-4339-94f8-722f443b4764.

Council of Science Editors:

Tomy A(. Predicting pedestrian path using optical flow as context cue. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:1212737e-7b76-4339-94f8-722f443b4764


University of Sydney

12. Shi, Fangzhou. Towards Molecule Generation with Heterogeneous States via Reinforcement Learning .

Degree: University of Sydney

 De novo molecular design and generation are frequently prescribed in the field of chemistry and biology, for it plays a critical role in maintaining the… (more)

Subjects/Keywords: molecule generation; graph representation; property optimization; SMILES representation; attention mechanism; reinforcement learning

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APA (6th Edition):

Shi, F. (n.d.). Towards Molecule Generation with Heterogeneous States via Reinforcement Learning . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/22335

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Shi, Fangzhou. “Towards Molecule Generation with Heterogeneous States via Reinforcement Learning .” Thesis, University of Sydney. Accessed March 01, 2021. http://hdl.handle.net/2123/22335.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Shi, Fangzhou. “Towards Molecule Generation with Heterogeneous States via Reinforcement Learning .” Web. 01 Mar 2021.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Shi F. Towards Molecule Generation with Heterogeneous States via Reinforcement Learning . [Internet] [Thesis]. University of Sydney; [cited 2021 Mar 01]. Available from: http://hdl.handle.net/2123/22335.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Shi F. Towards Molecule Generation with Heterogeneous States via Reinforcement Learning . [Thesis]. University of Sydney; Available from: http://hdl.handle.net/2123/22335

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

13. Costa, Jessica Sophia. Metilfenidato.

Degree: 2017, Universidade Fernando Pessoa

O metilfenidato é o psicoestimulante mais empregue no tratamento adjuvante da perturbação de hiperatividade com défice de atenção, uma perturbação de neurodesenvolvimento com grande impacto… (more)

Subjects/Keywords: Metilfenidato; Perturbação de hiperatividade com défice de atenção; Narcolepsia; Mecanismo de ação; Quantificação; Técnicas analíticas; Methylphenidate; Attention deficit hyperactivity disorder; Narcolepsy; Mechanism of action; Quantification; Analytical techniques; Domínio/Área Científica::Ciências Médicas::Medicina Básica

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APA (6th Edition):

Costa, J. S. (2017). Metilfenidato. (Thesis). Universidade Fernando Pessoa. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:bdigital.ufp.pt:10284/5979

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Costa, Jessica Sophia. “Metilfenidato.” 2017. Thesis, Universidade Fernando Pessoa. Accessed March 01, 2021. http://www.rcaap.pt/detail.jsp?id=oai:bdigital.ufp.pt:10284/5979.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Costa, Jessica Sophia. “Metilfenidato.” 2017. Web. 01 Mar 2021.

Vancouver:

Costa JS. Metilfenidato. [Internet] [Thesis]. Universidade Fernando Pessoa; 2017. [cited 2021 Mar 01]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:bdigital.ufp.pt:10284/5979.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Costa JS. Metilfenidato. [Thesis]. Universidade Fernando Pessoa; 2017. Available from: http://www.rcaap.pt/detail.jsp?id=oai:bdigital.ufp.pt:10284/5979

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Pontifical Catholic University of Rio de Janeiro

14. MAURO PINHEIRO RODRIGUES. [en] INTERACTION DESIGN AND PERVASIVE COMPUTING: A STUDY OF ATTENTIONAL MECHANISMS AND AMBIENT INFORMATION SYSTEMS.

Degree: 2013, Pontifical Catholic University of Rio de Janeiro

[pt] A tese investiga os diferentes mecanismos atencionais envolvidos na utilização de sistemas de informação ambiente. Para tanto, conceitua e delimita a computação pervasiva –… (more)

Subjects/Keywords: [pt] PERCEPCAO; [en] PERCEPTION; [pt] ATENCAO; [en] ATTENTION; [pt] COMPUTACAO UBIQUA; [en] UBIQUITOUS COMPUTING; [pt] COMPUTACAO PERVASIVA; [en] PERVASIVE COMPUTING; [pt] MECANISMO ATENCIONAL; [en] ATTENTIONAL MECHANISM; [pt] SISTEMAS DE INFORMACAO AMBIENTE; [en] AMBIENT INFORMATION SYSTEMS; [pt] DESIGN DE INTERACAO; [en] INTERACTION DESIGN

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

RODRIGUES, M. P. (2013). [en] INTERACTION DESIGN AND PERVASIVE COMPUTING: A STUDY OF ATTENTIONAL MECHANISMS AND AMBIENT INFORMATION SYSTEMS. (Thesis). Pontifical Catholic University of Rio de Janeiro. Retrieved from http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=21718

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

RODRIGUES, MAURO PINHEIRO. “[en] INTERACTION DESIGN AND PERVASIVE COMPUTING: A STUDY OF ATTENTIONAL MECHANISMS AND AMBIENT INFORMATION SYSTEMS.” 2013. Thesis, Pontifical Catholic University of Rio de Janeiro. Accessed March 01, 2021. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=21718.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

RODRIGUES, MAURO PINHEIRO. “[en] INTERACTION DESIGN AND PERVASIVE COMPUTING: A STUDY OF ATTENTIONAL MECHANISMS AND AMBIENT INFORMATION SYSTEMS.” 2013. Web. 01 Mar 2021.

Vancouver:

RODRIGUES MP. [en] INTERACTION DESIGN AND PERVASIVE COMPUTING: A STUDY OF ATTENTIONAL MECHANISMS AND AMBIENT INFORMATION SYSTEMS. [Internet] [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2013. [cited 2021 Mar 01]. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=21718.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

RODRIGUES MP. [en] INTERACTION DESIGN AND PERVASIVE COMPUTING: A STUDY OF ATTENTIONAL MECHANISMS AND AMBIENT INFORMATION SYSTEMS. [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2013. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=21718

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Linköping University

15. Govindarajan, Hariprasath. Self-Supervised Representation Learning for Content Based Image Retrieval.

Degree: The Division of Statistics and Machine Learning, 2020, Linköping University

  Automotive technologies and fully autonomous driving have seen a tremendous growth in recent times and have benefitted from extensive deep learning research. State-of-the-art deep… (more)

Subjects/Keywords: Content Based Image Retrieval; CBIR; Representation Learning; Self Supervised Learning; Unsupervised Learning; Attention Mechanism; Noise Contrastive Estimation; Autonomous Driving; Computer and Information Sciences; Data- och informationsvetenskap; Probability Theory and Statistics; Sannolikhetsteori och statistik

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Govindarajan, H. (2020). Self-Supervised Representation Learning for Content Based Image Retrieval. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166223

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Govindarajan, Hariprasath. “Self-Supervised Representation Learning for Content Based Image Retrieval.” 2020. Thesis, Linköping University. Accessed March 01, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166223.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Govindarajan, Hariprasath. “Self-Supervised Representation Learning for Content Based Image Retrieval.” 2020. Web. 01 Mar 2021.

Vancouver:

Govindarajan H. Self-Supervised Representation Learning for Content Based Image Retrieval. [Internet] [Thesis]. Linköping University; 2020. [cited 2021 Mar 01]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166223.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Govindarajan H. Self-Supervised Representation Learning for Content Based Image Retrieval. [Thesis]. Linköping University; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166223

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

16. Çinar, Yagmur Gizem. Prédiction de séquences basée sur des réseaux de neurones récurrents dans le contexte des séries temporelles et des sessions de recherche d'information : Sequence Prediction using Recurrent Neural Networks in the Context of Time Series and Information Retrieval Search Sessions.

Degree: Docteur es, Informatique, 2019, Université Grenoble Alpes (ComUE)

 Cette thèse examine les défis de la prédiction de séquence dans différents scénarios, tels que la prédiction de séquence à l'aide de réseaux de neurones… (more)

Subjects/Keywords: Apprentissage automatique; Recherche d'informations; Réseaux de neurones récurrents; Mécanisme d’attention; Prévision de séries temporelles; Prédiction de la requête suivante; Machine learning; Information retrieval; Recurrent neural networks; Attention mechanism; Time series forecasting; Next query prediction; 004

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Çinar, Y. G. (2019). Prédiction de séquences basée sur des réseaux de neurones récurrents dans le contexte des séries temporelles et des sessions de recherche d'information : Sequence Prediction using Recurrent Neural Networks in the Context of Time Series and Information Retrieval Search Sessions. (Doctoral Dissertation). Université Grenoble Alpes (ComUE). Retrieved from http://www.theses.fr/2019GREAM079

Chicago Manual of Style (16th Edition):

Çinar, Yagmur Gizem. “Prédiction de séquences basée sur des réseaux de neurones récurrents dans le contexte des séries temporelles et des sessions de recherche d'information : Sequence Prediction using Recurrent Neural Networks in the Context of Time Series and Information Retrieval Search Sessions.” 2019. Doctoral Dissertation, Université Grenoble Alpes (ComUE). Accessed March 01, 2021. http://www.theses.fr/2019GREAM079.

MLA Handbook (7th Edition):

Çinar, Yagmur Gizem. “Prédiction de séquences basée sur des réseaux de neurones récurrents dans le contexte des séries temporelles et des sessions de recherche d'information : Sequence Prediction using Recurrent Neural Networks in the Context of Time Series and Information Retrieval Search Sessions.” 2019. Web. 01 Mar 2021.

Vancouver:

Çinar YG. Prédiction de séquences basée sur des réseaux de neurones récurrents dans le contexte des séries temporelles et des sessions de recherche d'information : Sequence Prediction using Recurrent Neural Networks in the Context of Time Series and Information Retrieval Search Sessions. [Internet] [Doctoral dissertation]. Université Grenoble Alpes (ComUE); 2019. [cited 2021 Mar 01]. Available from: http://www.theses.fr/2019GREAM079.

Council of Science Editors:

Çinar YG. Prédiction de séquences basée sur des réseaux de neurones récurrents dans le contexte des séries temporelles et des sessions de recherche d'information : Sequence Prediction using Recurrent Neural Networks in the Context of Time Series and Information Retrieval Search Sessions. [Doctoral Dissertation]. Université Grenoble Alpes (ComUE); 2019. Available from: http://www.theses.fr/2019GREAM079

17. Simonnet, Edwin. Réseaux de neurones profonds appliqués à la compréhension de la parole : Deep learning applied to spoken langage understanding.

Degree: Docteur es, Informatique, 2019, Le Mans

Cette thèse s'inscrit dans le cadre de l'émergence de l'apprentissage profond et aborde la compréhension de la parole assimilée à l'extraction et à la représentation… (more)

Subjects/Keywords: Compréhension de la parole; Corpus MEDIA; Étiquetage en concept sémantiques; Réseaux de neurones profonds; Mécanisme d'attention; Erreurs de reconnaissance automatique; Simulation d'erreurs de reconnaissance; Désambiguïsation de la compréhension; Spoken Language Understanding; MEDIA corpus; Semantic concept tagging; Deep learning; Attention mechanism; Automatic speech recognition errors; Simulation of recognition errors; Disambiguation of understanding; 006.454

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Simonnet, E. (2019). Réseaux de neurones profonds appliqués à la compréhension de la parole : Deep learning applied to spoken langage understanding. (Doctoral Dissertation). Le Mans. Retrieved from http://www.theses.fr/2019LEMA1006

Chicago Manual of Style (16th Edition):

Simonnet, Edwin. “Réseaux de neurones profonds appliqués à la compréhension de la parole : Deep learning applied to spoken langage understanding.” 2019. Doctoral Dissertation, Le Mans. Accessed March 01, 2021. http://www.theses.fr/2019LEMA1006.

MLA Handbook (7th Edition):

Simonnet, Edwin. “Réseaux de neurones profonds appliqués à la compréhension de la parole : Deep learning applied to spoken langage understanding.” 2019. Web. 01 Mar 2021.

Vancouver:

Simonnet E. Réseaux de neurones profonds appliqués à la compréhension de la parole : Deep learning applied to spoken langage understanding. [Internet] [Doctoral dissertation]. Le Mans; 2019. [cited 2021 Mar 01]. Available from: http://www.theses.fr/2019LEMA1006.

Council of Science Editors:

Simonnet E. Réseaux de neurones profonds appliqués à la compréhension de la parole : Deep learning applied to spoken langage understanding. [Doctoral Dissertation]. Le Mans; 2019. Available from: http://www.theses.fr/2019LEMA1006

.