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1
Two‐level pruning based ensemble with abstained learners for concept drift in data streams
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Artigo
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Two‐level pruning based ensemble with abstained learners for concept drift in data streams

Goel, Kanu ; Batra, Shalini

Expert systems, 2021-05, Vol.38 (3), p.n/a [Periódico revisado por pares]

Oxford: Blackwell Publishing Ltd

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2
Physiological Data Models to Understand the Effectiveness of Drone Operation Training in Immersive Virtual Reality
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Physiological Data Models to Understand the Effectiveness of Drone Operation Training in Immersive Virtual Reality

Sakib, Md Nazmus ; Chaspari, Theodora ; Behzadan, Amir H

Journal of computing in civil engineering, 2021-01, Vol.35 (1) [Periódico revisado por pares]

New York: American Society of Civil Engineers

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3
Artificial intelligence and its impact on the prediction of economic indicators
Material Type:
Ata de Congresso
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Artificial intelligence and its impact on the prediction of economic indicators

Ramírez, Kevin Mero ; Hormaza, Jaime Meza ; Soto, Sebastián Ventura

Proceedings of the 6th International Conference on Engineering & MIS 2020, 2020, p.1-8

New York, NY, USA: ACM

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4
Classification of Attentional Tunneling Through Behavioral Indices
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Classification of Attentional Tunneling Through Behavioral Indices

Kortschot, Sean W. ; Jamieson, Greg A.

Human factors, 2020-09, Vol.62 (6), p.973-986 [Periódico revisado por pares]

Los Angeles, CA: SAGE Publications

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5
Multimodal Physiological Signals for Workload Prediction in Robot-assisted Surgery
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Multimodal Physiological Signals for Workload Prediction in Robot-assisted Surgery

Zhou, Tian ; Cha, Jackie S. ; Gonzalez, Glebys ; Wachs, Juan P. ; Sundaram, Chandru P. ; Yu, Denny

ACM transactions on human-robotic interaction, 2020-06, Vol.9 (2), p.1-26 [Periódico revisado por pares]

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6
VM Reservation Plan Adaptation Using Machine Learning in Cloud Computing
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VM Reservation Plan Adaptation Using Machine Learning in Cloud Computing

Sniezynski, Bartlomiej ; Nawrocki, Piotr ; Wilk, Michal ; Jarzab, Marcin ; Zielinski, Krzysztof

Journal of grid computing, 2019-12, Vol.17 (4), p.797-812

Dordrecht: Springer Netherlands

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7
Measuring the impact of online personalisation: Past, present and future
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Measuring the impact of online personalisation: Past, present and future

Zanker, Markus ; Rook, Laurens ; Jannach, Dietmar

International journal of human-computer studies, 2019-11, Vol.131, p.160-168 [Periódico revisado por pares]

Elsevier Ltd

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8
Experimental characterisation of eye-tracking sensors for adaptive human-machine systems
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Experimental characterisation of eye-tracking sensors for adaptive human-machine systems

Lim, Yixiang ; Gardi, Alessandro ; Pongsakornsathien, Nichakorn ; Sabatini, Roberto ; Ezer, Neta ; Kistan, Trevor

Measurement : journal of the International Measurement Confederation, 2019-07, Vol.140, p.151-160 [Periódico revisado por pares]

London: Elsevier Ltd

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9
From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems
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From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems

Idreos, Stratos ; Kraska, Tim

Proceedings of the 2019 International Conference on Management of Data, 2019, p.2054-2059

New York, NY, USA: ACM

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10
Encoding decisions and expertise in the operator's eyes: Using eye-tracking as input for system adaptation
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Encoding decisions and expertise in the operator's eyes: Using eye-tracking as input for system adaptation

Causse, Mickaël ; Lancelot, François ; Maillant, Jordan ; Behrend, Julia ; Cousy, Mathieu ; Schneider, Nicolas

International journal of human-computer studies, 2019-05, Vol.125, p.55-65 [Periódico revisado por pares]

Elsevier Ltd

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Deste Autor:

  1. Kudenko, D
  2. Nowe, A
  3. Guessoum, Z
  4. Kazakov, D
  5. Tuyls, K

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