Danilo Comminiello

Learning Efficient Convolutional Networks through Network Slimming

Recent advances in physical reservoir computing: A review

An Introduction to Variational Autoencoders

Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition

A non-iterative decomposition-ensemble learning paradigm using RVFL network for crude oil price forecasting

Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey

Speech-music discrimination using deep visual feature extractors

A systematic literature review on machine learning applications for sustainable agriculture supply chain performance

Variational Dropout Sparsifies Deep Neural Networks

An Edge Traffic Flow Detection Scheme Based on Deep Learning in an Intelligent Transportation System

Randomness in neural networks: an overview

Activation functions in deep learning: A comprehensive survey and benchmark

A Survey of Deep Learning and Its Applications: A New Paradigm to Machine Learning

A Lite Distributed Semantic Communication System for Internet of Things

A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series

Learning from Distributed Data Sources Using Random Vector Functional-Link Networks

Group sparse regularization for deep neural networks

Widely Linear Kernels for Complex-valued Kernel Activation Functions

Music classification using extreme learning machines

A semi-supervised random vector functional-link network based on the transductive framework