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06/16/2023
A Metaheuristic-based Machine Learning Approach for Energy Prediction in Mobile App Development
Energy consumption plays a vital role in mobile App development for deve...
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03/29/2023
Are Neural Architecture Search Benchmarks Well Designed? A Deeper Look Into Operation Importance
Neural Architecture Search (NAS) benchmarks significantly improved the c...
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03/22/2023
A Survey on Task Allocation and Scheduling in Robotic Network Systems
Cloud Robotics is helping to create a new generation of robots that leve...
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03/20/2023
A Survey of Demonstration Learning
With the fast improvement of machine learning, reinforcement learning (R...
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12/13/2022
Population-based JPEG Image Compression: Problem Re-Formulation
The JPEG standard is widely used in different image processing applicati...
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09/21/2022
Hierarchical Decision Transformer
Sequence models in reinforcement learning require task knowledge to esti...
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09/09/2022
Energy-Aware JPEG Image Compression: A Multi-Objective Approach
Customer satisfaction is crucially affected by energy consumption in mob...
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08/19/2022
Exploration, Path Planning with Obstacle and Collision Avoidance in a Dynamic Environment
If we give a robot the task of moving an object from its current positio...
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07/22/2022
Guided Evolutionary Neural Architecture Search With Efficient Performance Estimation
Neural Architecture Search (NAS) methods have been successfully applied ...
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07/12/2022
LudVision – Remote Detection of Exotic Invasive Aquatic Floral Species using Drone-Mounted Multispectral Data
Remote sensing is the process of detecting and monitoring the physical c...
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03/10/2022
Towards Less Constrained Macro-Neural Architecture Search
Networks found with Neural Architecture Search (NAS) achieve state-of-th...
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01/30/2022
Contrastive Learning from Demonstrations
This paper presents a framework for learning visual representations from...
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11/17/2021
MPF6D: Masked Pyramid Fusion 6D Pose Estimation
Object pose estimation has multiple important applications, such as robo...
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10/28/2021
Guided Evolution for Neural Architecture Search
Neural Architecture Search (NAS) methods have been successfully applied ...
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04/26/2021
Optimal Algorithm Allocation for Robotic Network Cloud Systems
Cloud robotics enables robots to benefit from the massive storage and co...
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02/16/2021
EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search
Neural Architecture Search (NAS) has shown excellent results in designin...
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02/16/2021
An AutoML-based Approach to Multimodal Image Sentiment Analysis
Sentiment analysis is a research topic focused on analysing data to extr...
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12/07/2020
Improving Makespan in Dynamic Task Allocation for Cloud Robotic Systems with Time Window Constraints
A scheduling method in a robotic network cloud system with minimal makes...
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09/03/2020
Auto-Classifier: A Robust Defect Detector Based on an AutoML Head
The dominant approach for surface defect detection is the use of hand-cr...
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07/31/2020
HMCNAS: Neural Architecture Search using Hidden Markov Chains and Bayesian Optimization
Neural Architecture Search has achieved state-of-the-art performance in ...
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07/22/2020
Dynamic Task Allocation for Robotic Network Cloud Systems
Every robotic network cloud system can be seen as a graph with nodes as ...
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03/19/2020
Optimal Algorithm Allocation for Single Robot Cloud Systems
In order for a robot to perform a task, several algorithms need to be ex...
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11/18/2019
MaskedFusion: Mask-based 6D Object Pose Detection
MaskedFusion is a framework to estimate 6D pose of objects using RGB-D d...
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06/26/2019
Upper tail dependence and smoothness of random fields
The modeling of risk situations that occur in a space-time framework can...
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04/08/2019
A Time-Segmented Consortium Blockchain for Robotic Event Registration
A blockchain, during its lifetime, records large amounts of data, that i...
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03/02/2019
Controlling Robots using Artificial Intelligence and a Consortium Blockchain
Blockchain is a disruptive technology that is normally used within finan...
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09/30/2018
An Overview of Blockchain Integration with Robotics and Artificial Intelligence
Blockchain technology is growing everyday at a fast-passed rhythm and it...
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02/22/2018
Overcoming Catastrophic Forgetting in Convolutional Neural Networks by Selective Network Augmentation
Lifelong learning aims to develop machine learning systems that can lear...
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12/07/2017
Stacked Denoising Autoencoders and Transfer Learning for Immunogold Particles Detection and Recognition
In this paper we present a system for the detection of immunogold partic...
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12/07/2017
Distributed learning of CNNs on heterogeneous CPU/GPU architectures
Convolutional Neural Networks (CNNs) have shown to be powerful classific...
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02/01/2017