Mandar Kale

According to our database, Mandar Kale authored at least 8 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Efficient image retrieval system for textural images using fuzzy class membership.

Mandar Kale, Jatindra Kumar Dash, Sudipta Mukhopadhyay

Multim. Tools Appl., 2022

Efficient color image retrieval method using deep stacked sparse autoencoder.

Mandar Kale, Sudipta Mukhopadhyay

J. Electronic Imaging, 2022

2020

Effective image retrieval method of natural images in a large database using fuzzy class membership.

Mandar Kale, Sudipta Mukhopadhyay

J. Electronic Imaging, 2020

2018

Deep Learning for Digital Text Analytics: Sentiment Analysis.

Reshma U, Barathi Ganesh H. B., Mandar Kale, Prachi Mankame, Gouri Kulkarni

CoRR, 2018

Information Extraction for Conversational Systems in Indian Languages - Arnekt IECSIL.

Barathi Ganesh H. B., Soman K. P, Reshma U, Mandar Kale, Prachi Mankame, Gouri Kulkarni, Anitha Kale, Anand Kumar M

Proceedings of the 10th annual meeting of the Forum for Information Retrieval Evaluation, 2018

Overview of Arnekt IECSIL at FIRE-2018 Track on Information Extraction for Conversational Systems in Indian Languages.

Barathi Ganesh H. B., Soman K. P, Reshma U, Mandar Kale, Prachi Mankame, Gouri Kulkarni, Anitha Kale, Anand Kumar M

Proceedings of the Working Notes of FIRE 2018, 2018

2017

An experimental study of interstitial lung tissue classification in HRCT images using ANN and role of cost functions.

Jatindra Kumar Dash, Mandar Kale, Sudipta Mukhopadhyay, Niranjan Khandelwal, Nidhi Prabhakar, Mandeep Garg, Naveen Kalra

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2016

Differentiation of several interstitial lung disease patterns in HRCT images using support vector machine: role of databases on performance.

Mandar Kale, Sudipta Mukhopadhyay, Jatindra Kumar Dash, Mandeep Garg, Niranjan Khandelwal

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016