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Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models
Platelet products are both expensive and have very short shelf lives. As...
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Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings
While the success of pre-trained language models has largely eliminated ...
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On Disambiguating Authors: Collaboration Network Reconstruction in a Bottom-up Manner
Author disambiguation arises when different authors share the same name,...
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Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms
We consider online convex optimization with time-varying stage costs and...
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Zeroth-Order Feedback Optimization for Cooperative Multi-Agent Systems
We consider a class of multi-agent optimization problems, where each age...
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Federated LQR: Learning through Sharing
In many multi-agent reinforcement learning applications such as flocking...
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Replay and Synthetic Speech Detection with Res2net Architecture
Existing approaches for replay and synthetic speech detection still lack...
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ASCII: ASsisted Classification with Ignorance Interchange
The rapid development in data collecting devices and computation platfor...
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Online Learning and Distributed Control for Residential Demand Response
This paper studies the automated control method for regulating air condi...
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Online Optimal Control with Affine Constraints
This paper considers online optimal control with affine constraints on t...
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Stem-leaf segmentation and phenotypic trait extraction of maize shoots from three-dimensional point cloud
Nowadays, there are many approaches to acquire three-dimensional (3D) po...
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A decision integration strategy for short-term demand forecasting and ordering for red blood cell components
Blood transfusion is one of the most crucial and commonly administered t...
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Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward
It has long been recognized that multi-agent reinforcement learning (MAR...
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Investigating Robustness of Adversarial Samples Detection for Automatic Speaker Verification
Recently adversarial attacks on automatic speaker verification (ASV) sys...
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Online Residential Demand Response via Contextual Multi-Armed Bandits
Residential load demands have huge potential to be exploited to enhance ...
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MODMA dataset: a Multi-modal Open Dataset for Mental-disorder Analysis
According to the World Health Organization, the number of mental disorde...
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MODMA dataset: a Multi-model Open Dataset for Mental-disorder Analysis
According to the World Health Organization, the number of mental disorde...
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Resilient Cyberphysical Systems and their Application Drivers: A Technology Roadmap
Cyberphysical systems (CPS) are ubiquitous in our personal and professio...
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Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach
This paper considers a distributed reinforcement learning problem for de...
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Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems
We study reinforcement learning (RL) in a setting with a network of agen...
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Exploiting Fast Decaying and Locality in Multi-Agent MDP with Tree Dependence Structure
This paper considers a multi-agent Markov Decision Process (MDP), where ...
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DV3+HED+: A DCNNs-based Framework to Monitor Temporary Works and ESAs in Railway Construction Project Using VHR Satellite Images
Current VHR(Very High Resolution) satellite images enable the detailed m...
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On Energy Compaction of 2D Saab Image Transforms
The block Discrete Cosine Transform (DCT) is commonly used in image and ...
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Learning discriminative features in sequence training without requiring framewise labelled data
In this work, we try to answer two questions: Can deeply learned feature...
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On Maintaining Linear Convergence of Distributed Learning and Optimization under Limited Communication
In parallel and distributed machine learning multiple nodes or processor...
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An automatic water detection approach based on Dempster-Shafer theory for multi spectral images
Detection of surface water in natural environment via multi-spectral ima...
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Groups of Repairmen and Repair-based Load Balancing in Supermarket Models with Repairable Servers
Supermarket models are a class of interesting parallel queueing networks...
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