K. R. Seeja

According to our database, K. R. Seeja authored at least 21 papers between 2008 and 2024.

Collaborative distances:

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

2024

Enhancing rare retinal disease classification: a few-shot meta-learning framework utilizing fundus images.

Arpita Rajpoot, K. R. Seeja

Multim. Tools Appl., May, 2024

2023

One shot learning approach for cross spectrum periocular verification.

Punam Kumari, K. R. Seeja

Multim. Tools Appl., May, 2023

2022

Subject independent emotion recognition from EEG using VMD and deep learning.

Pallavi Pandey, K. R. Seeja

J. King Saud Univ. Comput. Inf. Sci., 2022

Periocular biometrics: A survey.

Punam Kumari, K. R. Seeja

J. King Saud Univ. Comput. Inf. Sci., 2022

2021

An optimal feature enriched region of interest (ROI) extraction for periocular biometric system.

Punam Kumari, K. R. Seeja

Multim. Tools Appl., 2021

Subject independent emotion recognition system for people with facial deformity: an EEG based approach.

Pallavi Pandey, K. R. Seeja

J. Ambient Intell. Humaniz. Comput., 2021

A novel periocular biometrics solution for authentication during Covid-19 pandemic situation.

Punam Kumari, K. R. Seeja

J. Ambient Intell. Humaniz. Comput., 2021

Computing semantic relatedness using latent semantic analysis and fuzzy formal concept analysis.

Shivani Jain, K. R. Seeja, Rajni Jindal

Int. J. Reason. based Intell. Syst., 2021

A fuzzy ontology framework in information retrieval using semantic query expansion.

Shivani Jain, K. R. Seeja, Rajni Jindal

Int. J. Inf. Manag. Data Insights, 2021

2019

Identification of New Parameters for Ontology Based Semantic Similarity Measures.

Shivani Jain, K. R. Seeja, Rajni Jindal

EAI Endorsed Trans. Scalable Inf. Syst., 2019

A novel path planning algorithm for visually impaired people.

Durgesh Nandini, K. R. Seeja

J. King Saud Univ. Comput. Inf. Sci., 2019

2018

Privacy preserving data mining with 3-D rotation transformation.

Somya Upadhyay, Chetana Sharma, Pravishti Sharma, Prachi Bharadwaj, K. R. Seeja

J. King Saud Univ. Comput. Inf. Sci., 2018

Emotional State Recognition with EEG Signals Using Subject Independent Approach.

Pallavi Pandey, K. R. Seeja

Proceedings of the Data Science and Big Data Analytics, 2018

2016

A Novel Edge Based Image Steganography Technique.

K. R. Seeja, Jyoti Rana, Srishti Priya, Latika Ahuja

Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition, 2016

2015

Feature selection based on closed frequent itemset mining: A case study on SAGE data classification.

K. R. Seeja

Neurocomputing, 2015

2013

A Novel Feature Selection Technique for SAGE Data Classification.

K. R. Seeja

Proceedings of the Emerging Intelligent Computing Technology and Applications, 2013

2011

AISMOTIF-An Artificial Immune System for DNA Motif Discovery

K. R. Seeja

CoRR, 2011

2009

An Association Rule Mining Approach for Co-Regulated Signature genes Identification in Cancer.

K. R. Seeja, Mohd. Afshar Alam, S. K. Jain

J. Circuits Syst. Comput., 2009

MotifMiner: A Table Driven Greedy Algorithm for DNA Motif Mining.

K. R. Seeja, Mohd. Afshar Alam, S. K. Jain

Proceedings of the Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009

2008

Identification of Co-regulated Signature Genes in Pancreas Cancer- A Data Mining Approach.

K. R. Seeja, Mohd. Afshar Alam, S. K. Jain

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2008

A Closed Frequent Itemset Mining Algorithm for Gene Expression Databases.

K. R. Seeja, Mohd. Afshar Alam, S. K. Jain

Proceedings of the International Conference on Bioinformatics, 2008