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Advances in High-Performance Computational Earth Sciences: Applications and Frameworks
Large-scale stabilized multi-physics earthquake simulation for digital twin
On the design of Monte-Carlo particle coagulation solver interface: a CPU/GPU Super-Droplet Method case study with PySDM
Applications of Computational Methods in Artificial Intelligence and Machine Learning
A Deep Neural Network Based on Stacked Auto-Encoder and Dataset Stratification in Indoor Localization
Recurrent Autoencoder with Sequence-Aware Encoding
A Gist Information Guided Neural Network for Abstractive Summarization
Quality of Recommendations and Cold-start Problem in Recommender Systems based on Multi-Clusters
Model of the Cold-start Recommender System Based on the Petri-Markov Nets
Text-Based Product Matching with Incomplete and Inconsistent Items Descriptions
Unsupervised Text Style Transfer via An Enhanced Operation Pipeline
Exemplar Guided Latent Pre-trained Dialogue Generation
Monte Carlo Winning Tickets
Interpreting Neural Networks Prediction for a Single Instance via Random Forest Feature Contributions
A Higher-Order Adaptive Network Model to Simulate Development of and Recovery from PTSD
Trojan Traffic Detection Based on Meta-learning
Grasp the Key: Towards Fast and Accurate Host-based Intrusion Detection in Data Centers
MGEL: A Robust Malware Encrypted Traffic Detection Method Based on Ensemble Learning with Multi-Grained Features
TS-Bert: Time-series Anomaly Detection via Pre-training Model Bert
Relation order histograms as a network embedding tool
Desensitization Due to Overstimulation: A Second-Order Adaptive Network Model
A modified deep Q-network algorithm applied to the evacuation problem
Human-like Storyteller: A Hierarchical Network with Gated Memory for Visual Storytelling
Discriminative Bayesian Filtering for the Semi-Supervised Augmentation of Sequential Observation Data
TSAX is Trending- MultiEmo: Multilingual, Multilevel, Multidomain Sentiment Analysis Corpus of Consumer Reviews
Artificial Intelligence and High-Performance Computing for Advanced Simulations
Outlier removal for isogeometric spectral approximation with the optimally-blended quadratures
Socio-cognitive Evolution Strategies
Eective solution of ill-posed inverse problems with stabilized forward solver
Supermodeling - a meta-procedure for data assimilation and parameters estimation
AI-accelerated CFD simulation based on OpenFOAM and CPU/GPU computing
An application of a pseudo-parabolic modeling to texture image recognition
A study on a feedforward neural network to solve partial dierential equations in hyperbolic-transport problems
Agent-based Modeling of Social Phenomena for High Performance Distributed Simulations
Automated Method for Evaluating Neural Network's Attention Focus
Machine Learning Control Design for Elastic Composite Materials
Optimize Memory Usage in Vector Particle-In-Cell (VPIC) to Break the 10 Trillion Particle Barrier in Plasma Simulations
Deep learning for prediction of complex geology ahead of drilling
Biomedical and Bioinformatics Challenges for Computer Science
Controlling costs in feature selection: information theoretic approach
How fast vaccination can control the COVID-19 pandemic in Brazil?
Uncertainty Quantification of Tissue Damage Due to Blood Velocity in Hyperthermia Cancer Treatments
EEG-based Emotion Recognition - Evaluation Methodology Revisited
Modeling the electromechanics of a single cardiac myocyte
Towards Mimetic Membrane Systems in Molecular Dynamics: Characteristics of E. coli Membrane System
PathMEx: Pathway-based Mutual Exclusivity for Discovering Rare Cancer Driver Mutations
Serverless Nanopore Basecalling with AWS Lambda
A Software Pipeline Based on Sentiment Analysis to Analyze Narrative Medicine Texts.
Large-scale stabilized multi-physics earthquake simulation for digital twin
On the design of Monte-Carlo particle coagulation solver interface: a CPU/GPU Super-Droplet Method case study with PySDM
Applications of Computational Methods in Artificial Intelligence and Machine Learning
A Deep Neural Network Based on Stacked Auto-Encoder and Dataset Stratification in Indoor Localization
Recurrent Autoencoder with Sequence-Aware Encoding
A Gist Information Guided Neural Network for Abstractive Summarization
Quality of Recommendations and Cold-start Problem in Recommender Systems based on Multi-Clusters
Model of the Cold-start Recommender System Based on the Petri-Markov Nets
Text-Based Product Matching with Incomplete and Inconsistent Items Descriptions
Unsupervised Text Style Transfer via An Enhanced Operation Pipeline
Exemplar Guided Latent Pre-trained Dialogue Generation
Monte Carlo Winning Tickets
Interpreting Neural Networks Prediction for a Single Instance via Random Forest Feature Contributions
A Higher-Order Adaptive Network Model to Simulate Development of and Recovery from PTSD
Trojan Traffic Detection Based on Meta-learning
Grasp the Key: Towards Fast and Accurate Host-based Intrusion Detection in Data Centers
MGEL: A Robust Malware Encrypted Traffic Detection Method Based on Ensemble Learning with Multi-Grained Features
TS-Bert: Time-series Anomaly Detection via Pre-training Model Bert
Relation order histograms as a network embedding tool
Desensitization Due to Overstimulation: A Second-Order Adaptive Network Model
A modified deep Q-network algorithm applied to the evacuation problem
Human-like Storyteller: A Hierarchical Network with Gated Memory for Visual Storytelling
Discriminative Bayesian Filtering for the Semi-Supervised Augmentation of Sequential Observation Data
TSAX is Trending- MultiEmo: Multilingual, Multilevel, Multidomain Sentiment Analysis Corpus of Consumer Reviews
Artificial Intelligence and High-Performance Computing for Advanced Simulations
Outlier removal for isogeometric spectral approximation with the optimally-blended quadratures
Socio-cognitive Evolution Strategies
Eective solution of ill-posed inverse problems with stabilized forward solver
Supermodeling - a meta-procedure for data assimilation and parameters estimation
AI-accelerated CFD simulation based on OpenFOAM and CPU/GPU computing
An application of a pseudo-parabolic modeling to texture image recognition
A study on a feedforward neural network to solve partial dierential equations in hyperbolic-transport problems
Agent-based Modeling of Social Phenomena for High Performance Distributed Simulations
Automated Method for Evaluating Neural Network's Attention Focus
Machine Learning Control Design for Elastic Composite Materials
Optimize Memory Usage in Vector Particle-In-Cell (VPIC) to Break the 10 Trillion Particle Barrier in Plasma Simulations
Deep learning for prediction of complex geology ahead of drilling
Biomedical and Bioinformatics Challenges for Computer Science
Controlling costs in feature selection: information theoretic approach
How fast vaccination can control the COVID-19 pandemic in Brazil?
Uncertainty Quantification of Tissue Damage Due to Blood Velocity in Hyperthermia Cancer Treatments
EEG-based Emotion Recognition - Evaluation Methodology Revisited
Modeling the electromechanics of a single cardiac myocyte
Towards Mimetic Membrane Systems in Molecular Dynamics: Characteristics of E. coli Membrane System
PathMEx: Pathway-based Mutual Exclusivity for Discovering Rare Cancer Driver Mutations
Serverless Nanopore Basecalling with AWS Lambda
A Software Pipeline Based on Sentiment Analysis to Analyze Narrative Medicine Texts.