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Thermal Prediction for Efficient Energy Management of Clouds Using Machine Learning

IEEE transactions on parallel and distributed systems, 2021-05, Vol.32 (5), p.1044-1056

2021

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ADRL: A Hybrid Anomaly-Aware Deep Reinforcement Learning-Based Resource Scaling in Clouds

IEEE transactions on parallel and distributed systems, 2021-03, Vol.32 (3), p.514-526

2021

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ETAS: Energy and thermal‐aware dynamic virtual machine consolidation in cloud data center with proactive hotspot mitigation

Concurrency and computation, 2019-09, Vol.31 (17), p.n/a

2019

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Preserving Privacy in the Internet of Connected Vehicles

IEEE transactions on intelligent transportation systems, 2021-08, Vol.22 (8), p.5018-5027

2021

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Tensor Canonical Correlation Analysis for Multi-View Dimension Reduction

IEEE transactions on knowledge and data engineering, 2015-11, Vol.27 (11), p.3111-3124

2015

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Collaborative Knowledge Distillation via Multiknowledge Transfer

IEEE transaction on neural networks and learning systems, 2024-05, Vol.35 (5), p.6718-6730

2024

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Context-Aware Placement of Industry 4.0 Applications in Fog Computing Environments

IEEE transactions on industrial informatics, 2020-11, Vol.16 (11), p.7004-7013

2020

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A critical review of connectome validation studies

NMR in biomedicine, 2021-12, Vol.34 (12), p.e4605-n/a

2021

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A cautionary note on the use of SIFT in pathological connectomes

Magnetic resonance in medicine, 2020-03, Vol.83 (3), p.791-794

2020

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A model for spectra-based software diagnosis

ACM transactions on software engineering and methodology, 2011-08, Vol.20 (3), p.1-32

2011

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Exploiting GPUs for Efficient Gradient Boosting Decision Tree Training

IEEE transactions on parallel and distributed systems, 2019-12, Vol.30 (12), p.2706-2717

2019

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Survey of network-based defense mechanisms countering the DoS and DDoS problems

ACM computing surveys, 2007-04, Vol.39 (1), p.3

2007

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A Scalable Multi-Data Sources Based Recursive Approximation Approach for Fast Error Recovery in Big Sensing Data on Cloud

IEEE transactions on knowledge and data engineering, 2020-05, Vol.32 (5), p.841-854

2020

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TGM: A Generative Mechanism for Publishing Trajectories With Differential Privacy

IEEE internet of things journal, 2020-04, Vol.7 (4), p.2611-2621

2020

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Towards deep learning for connectome mapping: A block decomposition framework

NeuroImage (Orlando, Fla.), 2020-05, Vol.212, p.116654-116654, Article 116654

2020

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Isolation Forest Based Anomaly Detection Framework on Non-IID Data

IEEE intelligent systems, 2021-05, Vol.36 (3), p.31-40

2021

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Evaluation of consensus strategies for haplotype phasing

Briefings in bioinformatics, 2021-07, Vol.22 (4)

2021

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Hedonic Pricing of Cloud Computing Services

IEEE transactions on cloud computing, 2021-01, Vol.9 (1), p.182-196

2021

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Fault-tolerant Workflow Scheduling using Spot Instances on Clouds

Procedia computer science, 2014, Vol.29, p.523-533

2014

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Discovering outlying aspects in large datasets

Data mining and knowledge discovery, 2016-11, Vol.30 (6), p.1520-1555

2016

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Brain network dynamics in schizophrenia: Reduced dynamism of the default mode network

Human brain mapping, 2019-05, Vol.40 (7), p.2212-2228

2019

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Evaluation of tractogram filtering methods using human-like connectome phantoms

NeuroImage (Orlando, Fla.), 2023-11, Vol.281, p.120376-120376, Article 120376

2023

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Classification of healthy and diseased retina using SD-OCT imaging and Random Forest algorithm

PloS one, 2018-06, Vol.13 (6), p.e0198281-e0198281

2018

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A spatiotemporal compression based approach for efficient big data processing on Cloud

Journal of computer and system sciences, 2014-12, Vol.80 (8), p.1563-1583

2014

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Exploiting patterns to explain individual predictions

Knowledge and information systems, 2020-03, Vol.62 (3), p.927-950

2020

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Thermal Prediction for Efficient Energy Management of Clouds Using Machine Learning

ADRL: A Hybrid Anomaly-Aware Deep Reinforcement Learning-Based Resource Scaling in Clouds

ETAS: Energy and thermal‐aware dynamic virtual machine consolidation in cloud data center with proactive hotspot mitigation

Preserving Privacy in the Internet of Connected Vehicles

Tensor Canonical Correlation Analysis for Multi-View Dimension Reduction

Collaborative Knowledge Distillation via Multiknowledge Transfer

Context-Aware Placement of Industry 4.0 Applications in Fog Computing Environments

A critical review of connectome validation studies

A cautionary note on the use of SIFT in pathological connectomes

A model for spectra-based software diagnosis

Exploiting GPUs for Efficient Gradient Boosting Decision Tree Training

Survey of network-based defense mechanisms countering the DoS and DDoS problems

A Scalable Multi-Data Sources Based Recursive Approximation Approach for Fast Error Recovery in Big Sensing Data on Cloud

TGM: A Generative Mechanism for Publishing Trajectories With Differential Privacy

Towards deep learning for connectome mapping: A block decomposition framework

Isolation Forest Based Anomaly Detection Framework on Non-IID Data

Evaluation of consensus strategies for haplotype phasing

Hedonic Pricing of Cloud Computing Services

Fault-tolerant Workflow Scheduling using Spot Instances on Clouds

Discovering outlying aspects in large datasets

Brain network dynamics in schizophrenia: Reduced dynamism of the default mode network

Evaluation of tractogram filtering methods using human-like connectome phantoms

Classification of healthy and diseased retina using SD-OCT imaging and Random Forest algorithm

A spatiotemporal compression based approach for efficient big data processing on Cloud

Exploiting patterns to explain individual predictions

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