Citation Impact
Citing Papers
Application of Gray-Fuzzy-Markov Chain Method for Day-Ahead Electric Load Forecasting
2012
Co-regularization Based Semi-supervised Domain Adaptation
2010
Deep feature learning using target priors with applications in ECoG signal decoding for BCI
2013
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
Future cost and performance of water electrolysis: An expert elicitation study
2017 Standout
Learning Grounded Meaning Representations with Autoencoders
2014
Foundation models for generalist medical artificial intelligence
2023 StandoutNature
Graphene quantum dots: emergent nanolights for bioimaging, sensors, catalysis and photovoltaic devices
2012 Standout
Large language models in medicine
2023 Standout
Extreme Learning Machine for Regression and Multiclass Classification
2011 Standout
Multiple Incremental Decremental Learning of Support Vector Machines
2010
Mesoporous Silica Nanoparticles: Synthesis, Biocompatibility and Drug Delivery
2012 Standout
Representation Learning: A Review and New Perspectives
2013 Standout
Face Recognition Using Total Margin-Based Adaptive Fuzzy Support Vector Machines
2007
Hole–Shell Microparticles from Controllably Evolved Double Emulsions
2013
A novel approach for distributed application scheduling based on prediction of communication events
2009
Short-term load forecasting based on support vector regression and load profiling
2013
Pre-trained models for natural language processing: A survey
2020
Parsimonious Short-Term Load Forecasting for Optimal Operation Planning of Electrical Distribution Systems
2018
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
2022 Standout
Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction
2017 Standout
Synthesis and characterization of an environmentally friendly PHBV/PEG copolymer network as a phase change material
2013
Learning from Imbalanced Data
2009 Standout
A Survey on Evaluation of Large Language Models
2024 Standout
Wind Speed for Load Forecasting Models
2017
A new ARMAX model based on evolutionary algorithm and particle swarm optimization for short-term load forecasting
2008
Deep Transfer Learning for Intelligent Cellular Traffic Prediction Based on Cross-Domain Big Data
2019 Standout
Advances in Medical Applications of Additive Manufacturing
2020
Concept-Based Information Retrieval Using Explicit Semantic Analysis
2011
Incremental Support Vector Learning for Ordinal Regression
2014 Standout
Support vector machines in remote sensing: A review
2010 Standout
A review on applications of ANN and SVM for building electrical energy consumption forecasting
2014 Standout
Short-term electrical load forecasting using the Support Vector Regression (SVR) model to calculate the demand response baseline for office buildings
2017
Toward an Architecture for Never-Ending Language Learning
2010
Machine learning based switching model for electricity load forecasting
2008
A new hybrid day-ahead peak load forecasting method for Iran’s National Grid
2012
Data-driven Soft Sensors in the process industry
2009 Standout
Local Short and Middle Term Electricity Load Forecasting With Semi-Parametric Additive Models
2014
Electric load forecasting by support vector model
2008
Port throughput forecasting by MARS-RSVR with chaotic simulated annealing particle swarm optimization algorithm
2014
Probabilistic electric load forecasting: A tutorial review
2016
Impacts of building geometry modeling methods on the simulation results of urban building energy models
2018 Standout
A Survey of Knowledge-enhanced Text Generation
2022
Recent advances in bone-targeting nanoparticles for biomedical applications
2021
Short-Term Load Forecasting for Industrial Customers Based on TCN-LightGBM
2020 Standout
A review of data-driven building energy consumption prediction studies
2017 Standout
Random vector functional link network for short-term electricity load demand forecasting
2016 Standout
Electricity Demand Forecasting by Multi-Task Learning
2016
Embedding Uncertain Knowledge Graphs
2019
A Strategy for Short-Term Load Forecasting by Support Vector Regression Machines
2013
On Normality Assumption in Residual Simulation for Probabilistic Load Forecasting
2015
A Comprehensive Survey on Transfer Learning
2020 Standout
Particle swarm optimization algorithm: an overview
2017 Standout
Knowledge Distillation: A Survey
2021 Standout
Time Series Prediction Using Support Vector Machines: A Survey
2009
Energy Load Forecasting Using Empirical Mode Decomposition and Support Vector Regression
2013
A Sparse Coding Approach to Household Electricity Demand Forecasting in Smart Grids
2016
Forecasting Electricity Consumption with Neural Networks and Support Vector Regression
2012
Ultrasound-Triggered Smart Drug Release from Multifunctional Core−Shell Capsules One-Step Fabricated by Coaxial Electrospray Method
2010
Phase change materials for thermal energy storage
2014 Standout
Forecasting electricity price and demand using a hybrid approach based on wavelet transform, ARIMA and neural networks
2013
Evaluation of “Autotune” calibration against manual calibration of building energy models
2016
Short-Term Load Forecasting Based on a Semi-Parametric Additive Model
2011
Short-Term and Midterm Load Forecasting Using a Bilevel Optimization Model
2009
Electrosprayed nanoparticles and electrospun nanofibers based on natural materials: applications in tissue regeneration, drug delivery and pharmaceuticals
2014 Standout
Electrospraying of polymers with therapeutic molecules: State of the art
2012
Short‐term power load forecasting based on multi‐layer bidirectional recurrent neural network
2019
Financial time series forecasting model based on CEEMDAN and LSTM
2018 Standout
Metal-organic frameworks for advanced drug delivery
2021
A weighted LS-SVM based learning system for time series forecasting
2014
Short-Term Load Forecasting Based on an Adaptive Hybrid Method
2006
Textual Analysis in Accounting and Finance: A Survey
2016 Standout
Twitter mood predicts the stock market
2011 Standout
Towards a smart energy network: The roles of fuel/electrolysis cells and technological perspectives
2015
Soft-sensor development for fed-batch bioreactors using support vector regression
2005
Density Forecasting for Long-Term Peak Electricity Demand
2009
Monthly electric energy demand forecasting with neural networks and Fourier series
2008
Battery Lifetime Prognostics
2020 Standout
MOF–Thermogel Composites for Differentiated and Sustained Dual Drug Delivery
2023 StandoutNobel
Neural Network-Based Model Design for Short-Term Load Forecast in Distribution Systems
2015
Predicting residential energy consumption using CNN-LSTM neural networks
2019 Standout
Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing
2011 Standout
Mid-term load forecasting of power systems by a new prediction method
2008
Temperature Scenario Generation for Probabilistic Load Forecasting
2016
T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction
2019 Standout
A review on time series forecasting techniques for building energy consumption
2017 Standout
Machine learning methods for solar radiation forecasting: A review
2017 Standout
Hybrid evolutionary algorithms in a SVR-based electric load forecasting model
2009
Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges
2018 Standout
Hollow Mesoporous Silica/Poly(l -lysine) Particles for Codelivery of Drug and Gene with Enzyme-Triggered Release Property
2011
Sequential Labeling Using Deep-Structured Conditional Random Fields
2010
Probabilistic Load Forecasting via Quantile Regression Averaging on Sister Forecasts
2015
A Sparse Linear Model and Significance Test for Individual Consumption Prediction
2017
Glowing Graphene Quantum Dots and Carbon Dots: Properties, Syntheses, and Biological Applications
2014 Standout
Automatic Parameter Optimization for Support Vector Regression for Land and Sea Surface Temperature Estimation From Remote Sensing Data
2009
Material-structure-performance integrated laser-metal additive manufacturing
2021 StandoutScience
Peak load forecasting using Bayesian regularization, Resilient and adaptive backpropagation learning based artificial neural networks
2008
Rational Design of Bisphosphonate Lipid-like Materials for mRNA Delivery to the Bone Microenvironment
2022 StandoutNobel
Solar energy prediction using linear and non-linear regularization models: A study on AMS (American Meteorological Society) 2013–14 Solar Energy Prediction Contest
2014
Fixed-size Least Squares Support Vector Machines: A Large Scale Application in Electrical Load Forecasting
2006
Knowledge Graph Embedding: A Survey of Approaches and Applications
2017 Standout
Deep learning with convolutional neural networks for EEG decoding and visualization
2017 Standout
A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings
2015
Multimodal Machine Learning: A Survey and Taxonomy
2018 Standout
Intelligent Prognostics for Battery Health Monitoring Using the Mean Entropy and Relevance Vector Machine
2014
Electric Load Forecasting Based on Locally Weighted Support Vector Regression
2010
Travel-Time Prediction With Support Vector Regression
2004
Energy models for demand forecasting—A review
2011 Standout
Emerging Droplet Microfluidics
2017 Standout
Relative Humidity for Load Forecasting Models
2016
Empirical mode decomposition based denoising method with support vector regression for time series prediction: A case study for electricity load forecasting
2017
Time series prediction using RBF neural networks with a nonlinear time-varying evolution PSO algorithm
2009
Using Bayesian Deep Learning to Capture Uncertainty for Residential Net Load Forecasting
2019
Electricity load forecasting for residential customers: Exploiting aggregation and correlation between households
2013
Greek long-term energy consumption prediction using artificial neural networks
2009 Standout
Review of energy system flexibility measures to enable high levels of variable renewable electricity
2015 Standout
EGA-STLF: A Hybrid Short-Term Load Forecasting Model
2020
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
2021 Standout
Works of Ming‐Wei Chang being referenced
Importance of semantic representation: dataless classification
2008
Question Answering Using Enhanced Lexical Semantic Models
2013
The Necessity of Combining Adaptation Methods
2010
Well-Read Students Learn Better: The Impact of Student Initialization on Knowledge Distillation
2019
Guiding Semi-Supervision with Constraint-Driven Learning
2007
Porous Inorganic Drug Delivery Systems—a Review
2017
Application of mesoporous silica nanoparticles as drug delivery carriers for chemotherapeutic agents
2020
Preparation of active 3D film patches via aligned fiber electrohydrodynamic (EHD) printing
2017
Analysis of Switching Dynamics With Competing Support Vector Machines
2004
Stimulus-responsive liquids for encapsulation storage and controlled release of drugs from nano-shell capsules
2010
A New Method for the Preparation of Monoporous Hollow Microspheres
2010
Controlling the thickness of hollow polymeric microspheres prepared by electrohydrodynamic atomization
2010
A novel process for drug encapsulation using a liquid to vapour phase change material
2009
Leave-One-Out Bounds for Support Vector Regression Model Selection
2005
Natural Questions: A Benchmark for Question Answering Research
2019
A Knowledge-Grounded Neural Conversation Model
2018
Load Forecasting Using Support Vector Machines: A Study on EUNITE Competition 2001
2004