Publication

A Machine Learning-based Framework for Forecasting Sales of New Products With Short Life Cycles Using Deep Neural Networks

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

A Machine Learning-based Framework for Forecasting Sales of New Products With Short Life Cycles Using Deep Neural Networks

Graph Chatbot

Chat with Graph Search

InterpretCC: Intrinsic User-Centric Interpretability through Global Mixture of Experts

Sparse autoregressive neural networks for classical spin systems

On the number of regions of piecewise linear neural networks

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

Incorporating Projective Geometry into Deep Learning

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs

Explainable Fault Diagnosis of Oil-Immersed Transformers: A Glass-Box Model

Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications