20 citations · 41 across the 13 of their papers we have counts for
15 papers
SERF: Towards better training of deep neural networks using log-Softplus ERror activation Function
Sayan Nag, Mayukh Bhattacharyya
Activation functions play a pivotal role in determining the training dynamics and neural network performance. The widely adopted activation function ReLU despite being simple and e…
A Fractal Approach to Characterize Emotions in Audio and Visual Domain: A Study on Cross-Modal Interaction
Sayan Nag, Uddalok Sarkar, Shankha Sanyal +5
It is already known that both auditory and visual stimulus is able to convey emotions in human mind to different extent. The strength or intensity of the emotional arousal vary dep…
Language Independent Emotion Quantification using Non linear Modelling of Speech
Uddalok Sarkar, Sayan Nag, Chirayata Bhattacharya +4
At present emotion extraction from speech is a very important issue due to its diverse applications. Hence, it becomes absolutely necessary to obtain models that take into consider…
Neural Network architectures to classify emotions in Indian Classical Music
Uddalok Sarkar, Sayan Nag, Medha Basu +4
Music is often considered as the language of emotions. It has long been known to elicit emotions in human being and thus categorizing music based on the type of emotions they induc…
On the stability of equilibria of the physiologically-informed dynamic causal model
Sayan Nag
Experimental manipulations perturb the neuronal activity. This phenomenon is manifested in the fMRI response. Dynamic causal model and its variants can model these neuronal respons…
Lookahead optimizer improves the performance of Convolutional Autoencoders for reconstruction of natural images
Sayan Nag
Autoencoders are a class of artificial neural networks which have gained a lot of attention in the recent past. Using the encoder block of an autoencoder the input image can be com…