Eric Battenberg

Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions

Deep learning in neural networks: An overview

Enhancements in Immediate Speech Emotion Detection: Harnessing Prosodic and Spectral Characteristics

Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review

Local Interpretable Model-Agnostic Explanations For Music Content Analysis.

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data

Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications

Classical Music Specific Mood Automatic Recognition Model Proposal

Geometric Deep Learning: Going beyond Euclidean data

Recommendation system based on deep learning methods: a systematic review and new directions

A survey of deep neural network architectures and their applications

A Survey of Deep Active Learning

A tutorial survey of architectures, algorithms, and applications for deep learning

Deep learning and its applications to machine health monitoring

Deep Learning: Methods and Applications

Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)

A Survey of Recommendation Systems: Recommendation Models, Techniques, and Application Fields

Machine learning techniques for speech emotion recognition using paralinguistic acoustic features

Deep learning in agriculture: A survey

Analyzing Drum Patterns Using Conditional Deep Belief Networks.

librosa: Audio and Music Signal Analysis in Python