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Short Papers of the 8th Conference on Cloud Computing Conference, Big Data & Emerging Topics (JCC-BD&ET 2020)

https://doi.org/10.35537/10915/155281
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Outgoing claims: the papers this work cites, builds on, or argues with.

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A Predictive Model for Progression of Chronic Kidney Disease to Kidney Failure
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Multinational Assessment of Accuracy of Equations for Predicting Risk of Kidney Failure
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Parallel particle swarm optimization classification algorithm variant implemented with Apache Spark
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Reformulation of the performance portability metric
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Computer-Aided Analysis of Gastrointestinal Videos
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Migrating CUDA to oneAPI: A Smith-Waterman Case Study
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Automatic Design of Multi-objective Particle Swarm Optimizers
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Parallel Ensemble of Online Sequential Extreme Learning Machine Based on MapReduce
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Parallel Metaheuristics and Cooperative Search
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Spark Clustering Computing Platform Based Parallel Particle Swarm Optimizers for Computationally Expensive Global Optimization
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Cooperative particle swarm optimization using MapReduce
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Software review: the HeuristicLab framework
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Particle swarm optimization
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Fuzzy time series and its models
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Forecasting enrollments with fuzzy time series — part II
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Forecasting enrollments based on fuzzy time series
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Hybrid metaheuristics and multi-agent systems for solving optimization problems: A review of frameworks and a comparative analysis
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Data modeling in the NoSQL world
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A high-order fuzzy time series forecasting model for internet stock trading
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Implications of a metric for performance portability
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Mortadelo: Automatic generation of NoSQL stores from platform-independent data models
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On the design of a framework integrating an optimization engine with streaming technologies
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Short-term load forecasting method based on fuzzy time series, seasonality and long memory process
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Topology selection for particle swarm optimization
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Spark-based parallel dynamic programming and particle swarm optimization via cloud computing for a large-scale reservoir system
inferredcites →https://doi.org/10.1016/j.kint.2018.01.009openalex-snapshot
Predicting timing of clinical outcomes in patients with chronic kidney disease and severely decreased glomerular filtration rate
inferredcites →https://doi.org/10.1016/j.kint.2023.10.018openalex-snapshot
KDIGO 2024 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease
inferredcites →https://doi.org/10.1016/j.neucom.2009.02.013openalex-snapshot
Ensemble of online sequential extreme learning machine
inferredcites →https://doi.org/10.1016/j.neucom.2014.03.075openalex-snapshot
Ensemble of subset online sequential extreme learning machine for class imbalance and concept drift
inferredcites →https://doi.org/10.1016/s0019-9958(65)90241-xopenalex-snapshot
Fuzzy sets
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Enfermedad renal crónica: clasificación, etiopatogenia y factores pronósticos
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Global imprint of climate change on marine life
inferredcites →https://doi.org/10.1088/1742-6596/1702/1/012017openalex-snapshot
Parallel methods for linear systems solution in extreme learning machines: an overview
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MO463: Machine Learning-Based Prediction of Mortality and Risk Factors in Patients With Chronic Kidney Disease Developed With Data From 10000 Patients Over 11 Years
inferredcites →https://doi.org/10.1109/bigdata.2015.7363992openalex-snapshot
Exploring the process of doing data science via an ethnographic study of a media advertising company
inferredcites →https://doi.org/10.1109/bigdatacongress.2019.00024openalex-snapshot
HyperSpark: A Data-Intensive Programming Environment for Parallel Metaheuristics
inferredcites →https://doi.org/10.1109/cec.2007.4424448openalex-snapshot
Parallel PSO using MapReduce
inferredcites →https://doi.org/10.1109/cec.2009.4983015openalex-snapshot
An exploration of topologies and communication in large particle swarms
inferredcites →https://doi.org/10.1109/comst.2017.2745201openalex-snapshot
A Survey on Mobile Edge Computing: The Communication Perspective
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/hpec49654.2021.9622813openalex-snapshot
Performance Study of GPU applications using SYCL and CUDA on Tesla V100 GPU
inferredcites →https://doi.org/10.1109/icws.2016.79openalex-snapshot
Spark-Based Parallel Cooperative Co-evolution Particle Swarm Optimization Algorithm
inferredcites →https://doi.org/10.1109/ijcnn.2004.1380068openalex-snapshot
Extreme learning machine: a new learning scheme of feedforward neural networks
inferredcites →https://doi.org/10.1109/ipdpsw50202.2020.00070openalex-snapshot
Porting a Legacy CUDA Stencil Code to oneAPI
inferredcites →https://doi.org/10.1109/ispass.2016.7482073openalex-snapshot
Analyzing the energy-efficiency of sparse matrix multiplication on heterogeneous systems: A comparative study of GPU, Xeon Phi and FPGA
inferredcites →https://doi.org/10.1109/sccc57464.2022.10000361openalex-snapshot
Parallel Training of a Set of Online Sequential Extreme Learning Machines
inferredcites →https://doi.org/10.1109/smc.2014.6974260openalex-snapshot
Ensemble online sequential extreme learning machine for large data set classification
inferredcites →https://doi.org/10.1109/tencon.2016.7848452openalex-snapshot
Logical level design of NoSQL databases
inferredcites →https://doi.org/10.1109/tevc.2004.826074openalex-snapshot
The Fully Informed Particle Swarm: Simpler, Maybe Better
inferredcites →https://doi.org/10.1109/tla.2022.9662173openalex-snapshot
Internet of Things: State-of-the-art, Computing Paradigms and Reference Architectures
inferredcites →https://doi.org/10.1109/tnn.2006.880583openalex-snapshot
A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks
inferredcites →https://doi.org/10.1109/tsc.2017.2662008openalex-snapshot
A New Deep Learning-Based Food Recognition System for Dietary Assessment on An Edge Computing Service Infrastructure
inferredcites →https://doi.org/10.1111/exsy.12672openalex-snapshot
An experimental comparison of metaheuristic frameworks for multi‐objective optimization
inferredcites →https://doi.org/10.1142/s1793005715500076openalex-snapshot
Application of Fuzzy Time Series Approach in Electric Load Forecasting
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1145/3204919.3204937openalex-snapshot
Early experiments using SYCL single-source modern C++ on Xilinx FPGA
inferredcites →https://doi.org/10.1145/3319619.3326865openalex-snapshot
ECJ at 20
inferredcites →https://doi.org/10.1145/3449726.3463276openalex-snapshot
Paradiseo: from a modular framework for evolutionary computation to the automated design of metaheuristics
inferredcites →https://doi.org/10.1145/3535508.3545591openalex-snapshot
Performance portability study of epistasis detection using SYCL on NVIDIA GPU
inferredcites →https://doi.org/10.1155/2017/4685923openalex-snapshot
A Novel Distributed Quantum-Behaved Particle Swarm Optimization
inferredcites →https://doi.org/10.1177/1094342016678302openalex-snapshot
Deploying massive runs of evolutionary algorithms with ECJ and Hadoop: Reducing interest points required for face recognition
inferredcites →https://doi.org/10.14569/ijacsa.2022.0130312openalex-snapshot
Comparative Analysis of Lexicon and Machine Learning Approach for Sentiment Analysis
inferredcites →https://doi.org/10.22230/ijepl.2021v17n4a1041openalex-snapshot
Exploratory Data Analysis in Schools: A Logic Model to Guide Implementation
inferredcites →https://doi.org/10.25080/majora-7b98e3ed-009openalex-snapshot
Mesa: An Agent-Based Modeling Framework
inferredcites →https://doi.org/10.3233/sw-180320openalex-snapshot
The modular SSN ontology: A joint W3C and OGC standard specifying the semantics of sensors, observations, sampling, and actuation
inferredcites →https://doi.org/10.32604/csse.2022.021784openalex-snapshot
Ensemble Nonlinear Support Vector Machine Approach for Predicting Chronic Kidney Diseases
inferredcites →https://doi.org/10.33168/jsms.2020.0310openalex-snapshot
A Combination of Lexicon and Machine Learning Approaches for Sentiment Analysis on Facebook
inferredcites →https://doi.org/10.3389/fpls.2020.00898openalex-snapshot
Tomato Diseases and Pests Detection Based on Improved Yolo V3 Convolutional Neural Network
inferredcites →https://doi.org/10.3390/a15090308openalex-snapshot
Early Prediction of Chronic Kidney Disease: A Comprehensive Performance Analysis of Deep Learning Models
inferredcites →https://doi.org/10.3390/app10124125openalex-snapshot
Fingerprint Classification through Standard and Weighted Extreme Learning Machines
inferredcites →https://doi.org/10.3390/app7040353openalex-snapshot
Algorithm and Implementation of Distributed ESN Using Spark Framework and Parallel PSO
inferredcites →https://doi.org/10.3390/bdcc6030098openalex-snapshot
Machine Learning Techniques for Chronic Kidney Disease Risk Prediction
inferredcites →https://doi.org/10.3390/e22030362openalex-snapshot
Particle Swarm Optimisation: A Historical Review Up to the Current Developments
inferredcites →https://doi.org/10.3837/tiis.2019.12.010openalex-snapshot
A Hybrid Mechanism of Particle Swarm Optimization and Differential Evolution Algorithms based on Spark
inferredcites →https://doi.org/10.4324/9781843143413-6openalex-snapshot
The management revolution
inferredcites →https://doi.org/10.48550/arxiv.2105.13489openalex-snapshot
Early Experiences Migrating CUDA codes to oneAPI
inferredcites →https://doi.org/10.5120/ijca2015905866openalex-snapshot
Approaches, Tools and Applications for Sentiment Analysis Implementation
inferredcites →https://doi.org/10.5281/zenodo.7821818openalex-snapshot
Experimental data from the initial validation of spark-eclib, a new framework for distributed metaheuristics in Spark
inferredcites →https://doi.org/10.62973/22-047r1openalex-snapshot
OGC GeoSPARQL - A Geographic Query Language for RDF Data

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inferred← backgroundhttps://doi.org/10.5281/zenodo.10407627zenodo-depositor-declared
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