K. K. Biswas

41 papers A* 1B 4C 1Misc 1Journal 13Unranked 20
YearRankTypeTitle / Venue / Authors
2024 J jnl
DECACNN: differential evolution-based approach to compress and accelerate the convolution neural network model.
Neural Comput. Appl.
Mohit Agarwal, Suneet K. Gupta, K. K. Biswas
2024 J jnl
Human action recognition using spatio-temporal skeletal data.
Int. J. Adv. Intell. Paradigms
Awadhesh Kumar Srivastava, K. K. Biswas
2023 J jnl
Development of a compressed FCN architecture for semantic segmentation using Particle Swarm Optimization.
Neural Comput. Appl.
Mohit Agarwal, Suneet K. Gupta, K. K. Biswas
2023 J jnl
Genetic algorithm based approach to compress and accelerate the trained Convolution Neural Network model.
Int. J. Mach. Learn. Cybern.
Mohit Agarwal, Suneet K. Gupta, K. K. Biswas
2021 — conf
A Compressed and Accelerated SegNet for Plant Leaf Disease Segmentation: A Differential Evolution Based Approach.
PAKDD (3)
Mohit Agarwal, Suneet K. Gupta, K. K. Biswas
2021 J jnl
A new Conv2D model with modified ReLU activation function for identification of disease type and severity in cucumber plant.
Sustain. Comput. Informatics Syst.
Mohit Agarwal, Suneet K. Gupta, K. K. Biswas
2021 — conf
Plant Leaf Disease Segmentation Using Compressed UNet Architecture.
PAKDD (Workshops)
Mohit Agarwal, Suneet K. Gupta, K. K. Biswas
2020 J jnl
Development of Efficient CNN model for Tomato crop disease identification.
Sustain. Comput. Informatics Syst.
Mohit Agarwal, Suneet K. Gupta, K. K. Biswas
2018 J jnl
A recursive PSO scheme for gene selection in microarray data.
Appl. Soft Comput.
Yamuna Prasad, K. K. Biswas, Madasu Hanmandlu
2017 J jnl
An evolutionary learning based fuzzy theoretic approach for salient object detection.
Vis. Comput.
Aditi Kapoor, K. K. Biswas, Madasu Hanmandlu
2017 — conf
Machine Learning for Detecting Pronominal Anaphora Ambiguity in NL Requirements.
ACIT/CSII/BCD
Richa Sharma, Nidhi Sharma, K. K. Biswas
2017 J jnl
Max-Margin feature selection.
Pattern Recognit. Lett.
Yamuna Prasad, Dinesh Khandelwal, K. K. Biswas
2017 — conf
Unusual human activity detection using Markov Logic Networks.
ISBA
Aditi Kapoor, K. K. Biswas, Madasu Hanmandlu
2016 J jnl
Max-Margin Feature Selection.
CoRR
Yamuna Prasad, Dinesh Khandelwal, K. K. Biswas
2015 — conf
Bag-of-Features based Activity Classification using Body-joints Data.
VISAPP (1)
Parul Shukla, K. K. Biswas, Prem Kumar Kalra
2015 Misc conf
Illumination Invariant Efficient Face Recognition Using a Single Training Image.
DICTA
Bharat Lal Jangid, K. K. Biswas, Madasu Hanmandlu, Girija Chetty
2015 — conf
Information set based approach for salient object detection.
NCVPRIPG
Aditi Kapoor, K. K. Biswas, Madasu Hanmandlu
2014 B conf
Automated Generation of Activity and Sequence Diagrams from Natural Language Requirements.
ENASE
Richa Sharma, Sarita Gulia, K. K. Biswas
2014 B conf
Automated Generation of Test Cases from Logical Specification of Software Requirements.
ENASE
Richa Sharma, K. K. Biswas
2014 — conf
Machine learning for constituency test of coordinating conjunctions in requirements specifications.
RAISE
Richa Sharma, Jaspreet Bhatia, K. K. Biswas
2013 — conf
Fuzzy video summarization using key frame extraction.
NCVPRIPG
Aditi Kapoor, K. K. Biswas, Madasu Hanmandlu
2013 — ch.
Resolving Inconsistency and Incompleteness Issues in Software Requirements.
Managing Requirements Knowledge
Richa Sharma, K. K. Biswas
2013 — conf
Scaling-Up Quadratic Programming Feature Selection.
AAAI (Late-Breaking Developments)
Yamuna Prasad, K. K. Biswas, Parag Singla
2012 — conf
A Semi-automated Approach towards Handling Inconsistencies in Software Requirements.
ENASE (Selected Papers)
Richa Sharma, K. K. Biswas
2012 — conf
Depth Map Based Recognition of Activities Involving Two Persons.
IC3
Anupam, K. K. Biswas, Achyut Shukla, Rajesh Kumar Pandey
2012 B conf
Handling Inconsistency in Software Requirements.
ENASE
Richa Sharma, K. K. Biswas
2012 — conf
Using norm analysis patterns for automated requirements validation.
RePa
Richa Sharma, K. K. Biswas
2011 C conf
Can Ontologies Be Sufficient Solution to Requirement Engineering Problem?.
KEOD
Richa Sharma, K. K. Biswas
2011 — conf
Gesture recognition using Microsoft Kinect®.
ICARA
K. K. Biswas, Saurav Kumar Basu
2009 — conf
Biometric Gait Recognition with Carrying and Clothing Variants.
PReMI
Shamsher Singh, K. K. Biswas
2009 — conf
Human Action Recognition Based on Spatio-temporal Features.
PReMI
Nikhil Sawant, K. K. Biswas
2009 — conf
Real Time Hand Tracking and Gesture Recognition.
IPCV
Mukund Raj, Naveen Kumar, K. K. Biswas
2009 A* conf
Spatio-temporal Energy Based Gait Recognition.
ICDM
Shamsher Singh, K. K. Biswas
2005 J jnl
Stage separation dynamic analysis of upper stage of a multistage launch vehicle using retro rockets.
Math. Comput. Model.
Duraisamy Jeyakumar, K. K. Biswas, Boggarapu Nageswara Rao
2004 — conf
Sports Video Characterization Using Scene Dynamics.
ICVGIP
Rakesh Singh Jadon, Santanu Chaudhury, K. K. Biswas
2002 — conf
Generic Video Classification: An Evolutionary Learning Based Fuzzy Theoretic Approach.
ICVGIP
Rakesh Singh Jadon, Santanu Chaudhury, K. K. Biswas
2001 J jnl
A fuzzy theoretic approach for video segmentation using syntactic features.
Pattern Recognit. Lett.
Rakesh Singh Jadon, Santanu Chaudhury, K. K. Biswas
2000 B conf
Reconstruction of Local Features for Facial Video Compression.
ICIP
Shoma Chatterjee, Subhashis Banerjee, K. K. Biswas
1994 — conf
A cooperative integration of stereopsis and optic flow computation.
ICPR (1)
G. Sudhir, Subhashis Banerjee, K. K. Biswas, R. Bahl
1993 J jnl
DKRL - An Object-Oriented Language to Support Problem Solving in Distributed Blackboard Systems.
Int. J. Pattern Recognit. Artif. Intell.
Manoj K. Saxena, K. K. Biswas, P. C. P. Bhatt
1989 — conf
Knowledge Representation in Distributed Blackboard Architecture - Some Issues.
KBCS
Manoj K. Saxena, K. K. Biswas, P. C. P. Bhatt