Suranjana Samanta

Orcid: 0000-0002-9958-4258

According to our database1, Suranjana Samanta authored at least 26 papers between 2009 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
LogInsights - Understanding and Extracting Information from Logs for Fast Fault Classification by Weak Supervision.
Proceedings of the IEEE International Conference on Software Services Engineering, 2023

InsightsSumm - Summarization of ITOps Incidents Through In-Context Prompt Engineering.
Proceedings of the 16th IEEE International Conference on Cloud Computing, 2023

2022
Building Golden Signal Based Signatures for Log Anomaly Detection.
Proceedings of the IEEE 15th International Conference on Cloud Computing, 2022

2021
Meta-context Transformers for Domain-Specific Response Generation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Addressing Target Shift in Zero-shot Learning using Grouped Adversarial Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Carbon to Diamond: An Incident Remediation Assistant System From Site Reliability Engineers' Conversations in Hybrid Cloud Operations.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Augmented Whole-Body Scanning via Magnifying PET.
IEEE Trans. Medical Imaging, 2020

No Rumours Please! A Multi-Indic-Lingual Approach for COVID Fake-Tweet Detection.
CoRR, 2020

2018
Learning an Order Preserving Image Similarity through Deep Ranking.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Generating Adversarial Text Samples.
Proceedings of the Advances in Information Retrieval, 2018

2017
Towards Crafting Text Adversarial Samples.
CoRR, 2017

2016
Minimising disparity in distribution for unsupervised domain adaptation by preserving the local spatial arrangement of data.
IET Comput. Vis., 2016

2015
Unsupervised domain adaptation using eigenanalysis in kernel space for categorisation tasks.
IET Image Process., 2015

DI-BOW: Domain Invariant Feature Descriptor Using Bag of Words.
Proceedings of the 2nd International Conference on Perception and Machine Intelligence, 2015

Unsupervised method of Domain Adaptation on representation of discriminatory regions of the face image for surveillance face datasets.
Proceedings of the 2nd International Conference on Perception and Machine Intelligence, 2015

Domain adaptation using weighted sub-space sampling for object categorization.
Proceedings of the Eighth International Conference on Advances in Pattern Recognition, 2015

2014
Face Recognition in Surveillance Conditions with Bag-of-words, using Unsupervised Domain Adaptation.
Proceedings of the 2014 Indian Conference on Computer Vision, 2014

Unsupervised domain adaptation using manifold alignment for object and event categorization.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Modeling Sequential Domain Shift through Estimation of Optimal Sub-spaces for Categorization.
Proceedings of the British Machine Vision Conference, 2014

2013
Inter-domain Cluster Mapping and GMCV Based Transformation for Domain Adaptation.
Proceedings of the Pattern Recognition and Machine Intelligence, 2013

Stable biped locomotion using improved Proportional Derivative Controller.
Proceedings of the Fourth National Conference on Computer Vision, 2013

Cross-domain clustering performed by transfer of knowledge across domains.
Proceedings of the Fourth National Conference on Computer Vision, 2013

Domain Adaptation Based on Eigen-Analysis and Clustering, for Object Categorization.
Proceedings of the Computer Analysis of Images and Patterns, 2013

2012
SLAR (Simultaneous Localization And Recognition) Framework for Smart CBIR.
Proceedings of the Perception and Machine Intelligence - First Indo-Japan Conference, 2012

2009
A Fast Supervised Method of Feature Ranking and Selection for Pattern Classification.
Proceedings of the Pattern Recognition and Machine Intelligence, 2009

Unsupervised texture segmentation using feature selection and fusion.
Proceedings of the International Conference on Image Processing, 2009


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