The proceedings contain 384 papers. The topics discussed include: verification-free approaches to efficient locally densest subgraph discovery;sequential recommendation with user causal behavior discovery;learning fro...
ISBN:
(纸本)9798350322279
The proceedings contain 384 papers. The topics discussed include: verification-free approaches to efficient locally densest subgraph discovery;sequential recommendation with user causal behavior discovery;learning from noisy crowd labels with logics;a reachability index for recursive label-concatenated graph queries;instant representation learning for recommendation over large dynamic graphs;relational temporal graph convolutional networks for ranking-based stock prediction;TDB: breaking all hop-constrained cycles in billion-scale directed graphs;LCL: a lock chain length-based distributed algorithm for deadlock detection and resolution;track merging for effective video query processing;towards higher-order topological consistency for unsupervised network alignment;efficient multi-GPU graph processing with remote work stealing;exploring both individuality and cooperation for air-ground spatial crowdsourcing by multi-agent deep reinforcement learning;and automatic feasibility study via data quality analysis for ML: a case-study on label noise
The proceedings contain 34 papers. The topics discussed include: verification-free approaches to efficient locally densest subgraph discovery;HyperCalm sketch: one-pass mining periodic batches in data streams;DBAugur:...
ISBN:
(纸本)9798350322446
The proceedings contain 34 papers. The topics discussed include: verification-free approaches to efficient locally densest subgraph discovery;HyperCalm sketch: one-pass mining periodic batches in data streams;DBAugur: an adversarial-based trend forecasting system for diversified workloads;sequential recommendation with user causal behavior discovery;learning from noisy crowd labels with logics;a reachability index for recursive label-concatenated graph queries;instant representation learning for recommendation over large dynamic graphs;relational temporal graph convolutional networks for ranking-based stock prediction;TDB: breaking all hop-constrained cycles in billion-scale directed graphs;LCL: a lock chain length-based distributed algorithm for deadlock detection and resolution;towards higher-order topological consistency for unsupervised network alignment (camera ready);and exploring both individuality and cooperation for air-ground spatial crowdsourcing by multi-agent deep reinforcement learning.
The proceedings contain 8 papers. The topics discussed include: BuggIn: automatic intrinsic bugs classification model using NLP and ML;do developers fix continuous integration smells?;large scale study of orphan vulne...
ISBN:
(纸本)9798400703751
The proceedings contain 8 papers. The topics discussed include: BuggIn: automatic intrinsic bugs classification model using NLP and ML;do developers fix continuous integration smells?;large scale study of orphan vulnerabilities in the software supply chain;the FormAI dataset: generative AI in software security through the lens of formal verification;comparing word-based and AST-based models for design pattern recognition;on effectiveness of further pre-training on BERT models for story point estimation;automated fairness testing with representative sampling;and model review: a PROMISEing opportunity.
The proceedings contain 28 papers. The topics discussed include: analysis of the relationship between productivity and the work environment in Ecuador by 2022;complex networks as a methodology for social studies: the ...
The proceedings contain 28 papers. The topics discussed include: analysis of the relationship between productivity and the work environment in Ecuador by 2022;complex networks as a methodology for social studies: the case of ‘Son de Amores’;evaluation by an expert panel of agroecological practices in olive groves from an environmental, economic and technical feasibility perspective;export destination and firm performance: the case of Ecuador and the United States;georeferencing of savings banks and their role in financial inclusion in the Salinas Canton;GIS application for groundwater information processing and sustainable use in rural communities;media competencies and social development: a systematic review;and the processes of real estate expropriation and the fair price: case of the decentralized autonomous government of the Municipality of Ambato.
The proceedings contain 103 papers. The topics discussed include: COVID-19 prevention melioration: face mask and social distancing detection;software complexity reduction through the process automation in software dev...
ISBN:
(纸本)9781665462631
The proceedings contain 103 papers. The topics discussed include: COVID-19 prevention melioration: face mask and social distancing detection;software complexity reduction through the process automation in software development life cycle;a secured quantum key exchange algorithm using Fermat numbers and DNA encoding;visual malware classification using transfer learning;an authentication algorithm for mitigating dos attacks in wireless body sensor networks;animal breed classification and prediction using convolutional neural network primates as a case study;cataloguing of coronary heart malady using machine learning algorithms;security against SSDF attacks using novel attack mitigation mechanism for cognitive radio networks;design of medi-chain: a blockchain and cloud based health record system;an overview of relevant literature on different approaches to word sense disambiguation;construction of reverse logistics network of waste electrical appliances;text-based image retrieval using captioning;and test evaluation metrics and test case prioritization in the dynamics of software testing.
The proceedings contain 14 papers. The topics discussed include: an on-demand cloud-native containerized storage design and its practice of HDFS-on-Kubernetes;profiling cultural tourists by using user generated big da...
ISBN:
(纸本)9781450398022
The proceedings contain 14 papers. The topics discussed include: an on-demand cloud-native containerized storage design and its practice of HDFS-on-Kubernetes;profiling cultural tourists by using user generated big data from online travel agencies;classification and prediction on cardiovascular disease datasets;new fitness evaluation for a single machine scheduling problem with an overtime option;efficient face generation and clustering using generative adversarial networks;a closed-loop detection algorithm for online updating of bag-of-words model;research on the prediction method of rural industry integration based on improved RBF neural network model;multi-view subspace clustering with complex noise modeling;breast microcalcification detection in digital mammograms using deep transfer learning approaches;an anchor free car damage detection method;and computer-aided design system for anti-corrosion of coal preparation equipment based on improved technology of high-salt coal washing wastewater.
The proceedings contain 4 papers. The topics discussed include: phishing domain name detection based on hierarchical fusion of multimodal features;validating crowdsourced flood images using machine learning and real-t...
ISBN:
(纸本)9781665465236
The proceedings contain 4 papers. The topics discussed include: phishing domain name detection based on hierarchical fusion of multimodal features;validating crowdsourced flood images using machine learning and real-time weather data;intellectual social scanning and analytics platform;and a big data science solution for transportation analytics with meteorological data.
The proceedings contain 161 papers. The topics discussed include: artificial intelligence keeps women safe: preventing online and domestic violence;optimizing travel through AI: the intersection of data quality and cu...
ISBN:
(纸本)9798331527518
The proceedings contain 161 papers. The topics discussed include: artificial intelligence keeps women safe: preventing online and domestic violence;optimizing travel through AI: the intersection of data quality and customer experience;ethical frameworks for artificial intelligence: a comparative study;comparative study of various machine learning model in prediction of Parkinson’s disease;credit card fraud detection using machine learning algorithms and artificial neural network;enhanced classification of migraine headaches: leveraging machine learning, deep learning, and Bayesian networks with data augmentation;time based sentiment analysis of financial headlines using recurrent neural network;and machine learning models for depression prediction: a comprehensive analysis.
The proceedings contain 72 papers. The topics discussed include: design and practice of campus network based on IPv6 convergence access in Guangdong Ocean University;study on automated detection technologies for dimen...
ISBN:
(纸本)9781665470551
The proceedings contain 72 papers. The topics discussed include: design and practice of campus network based on IPv6 convergence access in Guangdong Ocean University;study on automated detection technologies for dimensions and coating status of propellants;application of mobile information technology in Chinese international education: a case study of Chinese learning app;artificial intelligence in legal education under the background of big data computation;bidding price forecast of construction projects based on machine learning algorithm;big data analysis of applying artificial intelligence to criminal justice and their prevention;big data based design framework for comprehensive evaluation system of college students;case study on application of artificial intelligence to oral English teaching in vocational colleges;and Chinese text sentiment classification model based on FastText and multi-scale deep pyramid convolutional neural network.
The proceedings contain 22 papers. The topics discussed include: anatomy of learned database tuning with Bayesian optimization;exploring system and machine learning performance interactions when tuning distributed dat...
ISBN:
(纸本)9781665481045
The proceedings contain 22 papers. The topics discussed include: anatomy of learned database tuning with Bayesian optimization;exploring system and machine learning performance interactions when tuning distributed data stream applications;data placement in dynamic fog ecosystems;revealing reliable information from taxi traces: from raw data to information discovery;secured data management and infrastructures in smart aquaculture;trustworthy distributed intelligence for smart cities;datastack: unification of heterogeneous machine learning dataset interfaces;evaluating the lottery ticket hypothesis to sparsify neural networks for time series classification;sample-based kernel structure learning with deep neural networks for automated structure discovery;join path-based data augmentation for decision trees;and detecting sensory textures with rheological characteristics from recipe sharing sites.
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