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The role of context in residential energy interventions: A meta review

Renewable & sustainable energy reviews, 2017-09, Vol.77, p.1146-1168

2017

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Mobile phone call data as a regional socio-economic proxy indicator

PloS one, 2015-04, Vol.10 (4), p.e0124160-e0124160

2015

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Systematic Literature Review on Cost-efficient Deep Learning

IEEE access, 2023-01, Vol.11, p.1-1

2023

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Removing Neurons From Deep Neural Networks Trained With Tabular Data

IEEE open journal of the Computer Society, 2024, Vol.5, p.542-552

2024

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QuantMark: A Benchmarking API for VQE Algorithms

IEEE transactions on quantum engineering, 2022, Vol.3, p.1-6

2022

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Energy Efficient Multimedia Streaming to Mobile Devices - A Survey

IEEE Communications surveys and tutorials, 2014-01, Vol.16 (1), p.579-597

2014

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A Computational Framework for Revealing Competitive Travel Times with Low-Carbon Modes Based on Smartphone Data Collection

Journal of advanced transportation, 2020, Vol.2020 (2020), p.1-20

2020

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Practices and Infrastructures for Machine Learning Systems: An Interview Study in Finnish Organizations

Computer (Long Beach, Calif.), 2022-06, Vol.55 (6), p.18-29

2022

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Is the Same Instance Type Created Equal? Exploiting Heterogeneity of Public Clouds

IEEE transactions on cloud computing, 2013-07, Vol.1 (2), p.201-214

2013

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Using Viewing Statistics to Control Energy and Traffic Overhead in Mobile Video Streaming

IEEE/ACM transactions on networking, 2016-06, Vol.24 (3), p.1489-1503

2016

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Adding semantics to internet of things

Concurrency and computation, 2015-06, Vol.27 (8), p.1844-1860

2015

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Understanding WiFi Cross-Technology Interference Detection in the Real World

2020 IEEE 40th International Conference on Distributed Computing Systems (ICDCS), 2020, p.954-964

2020

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Training a language model to learn the syntax of commands

Array (New York), 2024-09, Vol.23, p.100355, Article 100355

2024

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Node co-activations as a means of error detection—Towards fault-tolerant neural networks

Array (New York), 2022-09, Vol.15, p.100201, Article 100201

2022

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Software techniques for training restricted Boltzmann machines on size-constrained quantum annealing hardware

Frontiers in computer science (Lausanne), 2023-10, Vol.5

2023

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Energy efficiency of dynamic management of virtual cluster with heterogeneous hardware

The Journal of supercomputing, 2017-05, Vol.73 (5), p.1978-2000

2017

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Special issue on intelligent urban computing with big data

Machine vision and applications, 2017-10, Vol.28 (7), p.675-677

2017

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Analysis of Potential Shift to Low-Carbon Urban Travel Modes: A Computational Framework Based on High-Resolution Smartphone Data

Sustainability, 2020, Vol.12 (15), p.5901

2020

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Towards Green Big Data at CERN

Future generation computer systems, 2018-04, Vol.81, p.103-113

2018

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Leveraging Parallel Communications for Minimizing Energy Consumption on Smartphones

IEEE transactions on parallel and distributed systems, 2015-10, Vol.26 (10), p.2778-2790

2015

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Work Disability Risk Prediction Using Machine Learning

Current and Future Trends in Health and Medical Informatics, p.345-359

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Learning from Prior Designs for Facility Layout Optimization

Heuristics for Optimization and Learning, 2021, Vol.906, p.87-101

2021

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Cellular-based vehicle to pedestrian (V2P) adaptive communication for collision avoidance

2014 International Conference on Connected Vehicles and Expo (ICCVE), 2014, p.450-456

2014

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Is Machine Learning Software Just Software: A Maintainability View

Software Quality: Future Perspectives on Software Engineering Quality, p.94-105

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Techniques and tools for measuring energy efficiency of scientific software applications

Journal of physics. Conference series, 2015-05, Vol.608 (1), p.12032

2015

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The role of context in residential energy interventions: A meta review

Mobile phone call data as a regional socio-economic proxy indicator

Systematic Literature Review on Cost-efficient Deep Learning

Removing Neurons From Deep Neural Networks Trained With Tabular Data

QuantMark: A Benchmarking API for VQE Algorithms

Energy Efficient Multimedia Streaming to Mobile Devices - A Survey

A Computational Framework for Revealing Competitive Travel Times with Low-Carbon Modes Based on Smartphone Data Collection

Practices and Infrastructures for Machine Learning Systems: An Interview Study in Finnish Organizations

Is the Same Instance Type Created Equal? Exploiting Heterogeneity of Public Clouds

Using Viewing Statistics to Control Energy and Traffic Overhead in Mobile Video Streaming

Adding semantics to internet of things

Understanding WiFi Cross-Technology Interference Detection in the Real World

Training a language model to learn the syntax of commands

Node co-activations as a means of error detection—Towards fault-tolerant neural networks

Software techniques for training restricted Boltzmann machines on size-constrained quantum annealing hardware

Energy efficiency of dynamic management of virtual cluster with heterogeneous hardware

Special issue on intelligent urban computing with big data

Analysis of Potential Shift to Low-Carbon Urban Travel Modes: A Computational Framework Based on High-Resolution Smartphone Data

Towards Green Big Data at CERN

Leveraging Parallel Communications for Minimizing Energy Consumption on Smartphones

Work Disability Risk Prediction Using Machine Learning

Learning from Prior Designs for Facility Layout Optimization

Cellular-based vehicle to pedestrian (V2P) adaptive communication for collision avoidance

Is Machine Learning Software Just Software: A Maintainability View

Techniques and tools for measuring energy efficiency of scientific software applications

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