Venkata Krishna Kishore Kolli

According to our database, Venkata Krishna Kishore Kolli authored at least 27 papers between 2010 and 2026.

Collaborative distances:

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

2026

POETIC-NET: an augmented contextual feature representation via graph centrality relation for emotion recognition of English poetry.

Praveen Kumar Kazipeta, Venkatrama Phani Kumar Sistla, Venkata Krishna Kishore Kolli

Evol. Syst., June, 2026

Enhancing plant leaf disease classification through self-attention super-resolution GAN and dual attention model.

V. Sasikala, Venkatramaphanikumar Sistla, Deepak Chowdary Edara, Venkata Krishna Kishore Kolli

Vis. Comput., January, 2026

Enhancing SER Transferability With a Gated Transformer Encoder and Hybrid Loss: A Domain Adaptation Framework.

Shareefunnisa Syed, Venkata Krishna Kishore Kolli

IEEE Access, 2026

2025

TStarGANv2-VC: Non-parallel Multi-domain Transformer Based StarGANv2 Voice Conversion.

Anandhakumar Dharmalingam, Venkata Krishna Kishore Kolli

Circuits Syst. Signal Process., December, 2025

Optimised feature selection and categorisation of medical records with multi kernel boosted support vector machine.

Lakshmi Prasanna Vanukuri, Deepak Chowdary Edara, S. Venkatramaphanikumar, Venkata Krishna Kishore Kolli

Int. J. Adv. Intell. Paradigms, 2025

A Synergistic Stacked Ensemble Deep Learning Model for Predicting Diabetic Retinopathy Severity.

Deva Kumar Salluri, Maanas Sai Surya Chandra Atthuluri, Venkatramaphanikumar Sistla, Venkata Krishna Kishore Kolli

IEEE Access, 2025

A Cascaded Ensemble Framework Using BERT and Graph Features for Emotion Detection From English Poetry.

Praveen Kumar Kazipeta, Venkatrama Phani Kumar Sistla, Venkata Krishna Kishore Kolli

IEEE Access, 2025

2024

LSTM-based statistical framework for human activity recognition using mobile sensor data.

Y. Vijaya Durga, S. Venkatramaphanikumar, Venkata Krishna Kishore Kolli

Int. J. Adv. Intell. Paradigms, 2024

2023

HRUNET: Hybrid Residual U - Net for automatic severity prediction of Diabetic Retinopathy.

Deva Kumar Salluri, Venkatramaphanikumar Sistla, Venkata Krishna Kishore Kolli

Comput. methods Biomech. Biomed. Eng. Imaging Vis., May, 2023

An automated online proctoring system using attentive-net to assess student mischievous behavior.

Tejaswi Potluri, S. Venkatramaphanikumar, Venkata Krishna Kishore Kolli

Multim. Tools Appl., 2023

Sentiment analysis and text categorization of cancer medical records with LSTM.

Deepak Chowdary Edara, Lakshmi Prasanna Vanukuri, Venkatramaphanikumar Sistla, Venkata Krishna Kishore Kolli

J. Ambient Intell. Humaniz. Comput., 2023

HIUNET: A Hybrid Inception U-Net for Diagnosis of Diabetic Retinopathy.

S. Deva Kumar, S. Venkatramaphanikumar, Venkata Krishna Kishore Kolli

Intell. Autom. Soft Comput., 2023

2022

Performance evaluation of DNN with other machine learning techniques in a cluster using Apache Spark and MLlib.

A. N. M. JayaLakshmi, Venkata Krishna Kishore Kolli

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

Multimodal attention-gated cascaded U-Net model for automatic brain tumor detection and segmentation.

Siva Koteswara Rao Chinnam, Venkatramaphanikumar Sistla, Venkata Krishna Kishore Kolli

Biomed. Signal Process. Control., 2022

Deep finesse network model with multichannel syntactic and contextual features for target-specific sentiment classification.

Deepak Chowdary Edara, Venkatramaphanikumar Sistla, Venkata Krishna Kishore Kolli

Appl. Intell., 2022

2021

Virtual facial expression recognition using deep CNN with ensemble learning.

Venkata Rami Reddy Chirra, Srinivasulu Reddy Uyyala, Venkata Krishna Kishore Kolli

J. Ambient Intell. Humaniz. Comput., 2021

2020

Predictive Model for Network Intrusion Detection System Using Deep Learning.

Venkatrama Phani Kumar Sistla, Venkata Krishna Kishore Kolli, Lakshmi K. Voggu, Ramyasri Bhavanam, Sasikala Vallabhasoyula

Rev. d'Intelligence Artif., 2020

Object Detection Using Stacked YOLOv3.

Sai Shilpa Padmanabula, Ramya Chowdary Puvvada, Venkatramaphanikumar Sistla, Venkata Krishna Kishore Kolli

Ingénierie des Systèmes d Inf., 2020

Performance Evaluation of Generative Adversarial Networks for Computer Vision Applications.

Sravani Nannapaneni, Venkatrama Phani Kumar Sistla, Venkata Krishna Kishore Kolli

Ingénierie des Systèmes d Inf., 2020

Aspect-level sentiment analysis on goods and services tax tweets with dropout DNN.

Deepak Chowdary Edara, S. Venkatramaphanikumar, Venkata Krishna Kishore Kolli

Int. J. Bus. Inf. Syst., 2020

2019

Facial Emotion Recognition Using NLPCA and SVM.

Venkata Rami Reddy Chirra, Srinivasulu Reddy Uyyala, Venkata Krishna Kishore Kolli

Traitement du Signal, 2019

SVM-PUK Kernel Based MRI-brain Tumor Identification Using Texture and Gabor Wavelets.

Siva Chinnam, Venkatrama Phani Kumar Sistla, Venkata Krishna Kishore Kolli

Traitement du Signal, 2019

Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State.

Venkata Rami Reddy Chirra, Srinivasulu Reddy Uyyala, Venkata Krishna Kishore Kolli

Rev. d'Intelligence Artif., 2019

A novel adaptive two-phase multimodal biometric recognition system.

Venkatrama Phani Kumar Sistla, Venkata Krishna Kishore Kolli, Kamakshi Prasad Valurouthu

Int. Arab J. Inf. Technol., 2019

2018

Extended correlated principal component analysis with SVM-PUK in opinion mining.

Kollimarla Anusha Devi, Deepak Chowdary Edara, Venkatrama Phani Kumar Sistla, Venkata Krishna Kishore Kolli

Turkish J. Electr. Eng. Comput. Sci., 2018

2010

A novel face recognition system based on combining eigenfaces with fisher faces using wavelets.

B. Jyostna Devi, Naralasetti Veeranjaneyulu, K. V. K. Kishore

Proceedings of the International Conference and Exhibition on Biometrics Technology, 2010

Hybrid Face Recognition with Locally Discriminating Projection.

S. Venkatramaphanikumar, K. V. K. Kishore, Hemantha Kumar Kalluri

Proceedings of the 2010 International Conference on Signal Acquisition and Processing, 2010