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11/07/2020
Thermal Prediction for Efficient Energy Management of Clouds using Machine Learning
Thermal management in the hyper-scale cloud data centers is a critical p...
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09/23/2020
Segmented Pairwise Distance for Time Series with Large Discontinuities
Time series with large discontinuities are common in many scenarios. How...
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09/23/2020
Learning Non-Unique Segmentation with Reward-Penalty Dice Loss
Semantic segmentation is one of the key problems in the field of compute...
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09/01/2020
Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments using A3C learning and Residual Recurrent Neural Networks
The ubiquitous adoption of Internet-of-Things (IoT) based applications h...
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07/24/2020
MurTree: Optimal Classification Trees via Dynamic Programming and Search
Decision tree learning is a widely used approach in machine learning, fa...
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05/21/2020
Application Management in Fog Computing Environments: A Taxonomy, Review and Future Directions
The Internet of Things (IoT) paradigm is being rapidly adopted for the c...
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08/01/2019
Generative Image Inpainting with Submanifold Alignment
Image inpainting aims at restoring missing regions of corrupted images, ...
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07/18/2019
A Differentially Private Algorithm for Range Queries on Trajectories
We propose a novel algorithm to ensure ϵ-differential privacy for answer...
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08/24/2018
A Jointly Learned Context-Aware Place of Interest Embedding for Trip Recommendations
Trip recommendation is an important location-based service that helps re...
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08/07/2018
Performance-Aware Management of Cloud Resources: A Taxonomy and Future Directions
Dynamic nature of the cloud environment has made distributed resource ma...
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09/12/2017
Learning with Bounded Instance- and Label-dependent Label Noise
Instance- and label-dependent label noise (ILN) is widely existed in rea...
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02/09/2015