25 citations · 27 across the 5 of their papers we have counts for
3 papers · 1 filter
Contrast-Enhanced Gating in GRUs for Robust Low-Data Sequence Learning
Barathi Subramanian, Rathinaraja Jeyaraj, Anand Paul
Activation functions govern how recurrent networks regulate and transmit information across temporal dependencies. Despite advances in sequence modelling, gated recurrent units (GR…
APALU: A Trainable, Adaptive Activation Function for Deep Learning Networks
Barathi Subramanian, Rathinaraja Jeyaraj, Rakhmonov Akhrorjon Akhmadjon Ugli
Activation function is a pivotal component of deep learning, facilitating the extraction of intricate data patterns. While classical activation functions like ReLU and its variants…
From Data to Decisions: The Transformational Power of Machine Learning in Business Recommendations
Kapilya Gangadharan, K. Malathi, Anoop Purandaran +3
This research aims to explore the impact of Machine Learning (ML) on the evolution and efficacy of Recommendation Systems (RS), particularly in the context of their growing signifi…