Koushik Biswas

Orcid: 0000-0002-9818-8966

According to our database1, Koushik Biswas authored at least 19 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
CT Liver Segmentation via PVT-based Encoding and Refined Decoding.
CoRR, 2024

2023
Will a tropical cyclone make landfall?
Neural Comput. Appl., March, 2023

Adaptive Smooth Activation for Improved Disease Diagnosis and Organ Segmentation from Radiology Scans.
CoRR, 2023

A Non-monotonic Smooth Activation Function.
CoRR, 2023

2022
Forecasting formation of a Tropical Cyclone Using Reanalysis Data.
CoRR, 2022

SAU: Smooth Activation Function Using Convolution with Approximate Identities.
Proceedings of the Computer Vision - ECCV 2022, 2022

Smooth Maximum Unit: Smooth Activation Function for Deep Networks using Smoothing Maximum Technique.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ErfAct and Pserf: Non-monotonic Smooth Trainable Activation Functions.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
SMU: smooth activation function for deep networks using smoothing maximum technique.
CoRR, 2021

Tropical cyclone intensity estimations over the Indian ocean using Machine Learning.
CoRR, 2021

Intensity Prediction of Tropical Cyclones using Long Short-Term Memory Network.
CoRR, 2021

Orthogonal-Padé Activation Functions: Trainable Activation functions for smooth and faster convergence in deep networks.
CoRR, 2021

TanhSoft - Dynamic Trainable Activation Functions for Faster Learning and Better Performance.
IEEE Access, 2021

Predicting Landfall's Location and Time of a Tropical Cyclone Using Reanalysis Data.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

EIS - Efficient and Trainable Activation Functions for Better Accuracy and Performance.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Track Prediction of Tropical Cyclones Using Long Short-Term Memory Network.
Proceedings of the 11th IEEE Annual Computing and Communication Workshop and Conference, 2021

Prediction of Landfall Intensity, Location, and Time of a Tropical Cyclone.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
EIS - a family of activation functions combining Exponential, ISRU, and Softplus.
CoRR, 2020

TanhSoft - a family of activation functions combining Tanh and Softplus.
CoRR, 2020


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