Directed acyclic graphs (DAGs) are of particular interest to machine learning researchers, as many machine learning models are realized as computations on DAGs, including neural networks and Bayesian ...
Companies spend billions on programs that don’t pay off. Here’s how to fix that. by Michael Beer, Magnus Finnström and Derek Schrader Corporations are victims of the great training robbery. American ...
Abstract: One of the most fascinating and difficult tasks in human-computer interaction is speech emotion recognition. The practice of attempting to determine the types of affective and emotional ...
Abstract: The evolving capabilities of AI models such as GPT -3 and GPT -4, and Deepseek have rendered it ever more difficult to distinguish between human-written text and AI-generated text. The issue ...
Code repository for the paper Robust Sound Source Tracking Using SRP-PHAT and 3D Convolutional Neural Networks [1]. There is a main script for each model analyzed in the paper. The scripts train the ...