Venkata Krishna Kishore Kolli

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 15

Top Topics

Diabetic Retinopathy

Emotion Recognition

Tumor Detection

Ensemble Learning

Top Venues

Rev. d'Intelligence Artif.

Traitement du Signal

Ingénierie des Systèmes d Inf.

J. Ambient Intell. Humaniz. Comput.

Publications

Tejaswi Potluri, S. Venkatramaphanikumar, Venkata Krishna Kishore Kolli
An automated online proctoring system using attentive-net to assess student mischievous behavior. Multim. Tools Appl. 82 (20) (2023)
Deva Kumar Salluri, Venkatramaphanikumar Sistla, Venkata Krishna Kishore Kolli
HRUNET: Hybrid Residual U - Net for automatic severity prediction of Diabetic Retinopathy. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11 (3) (2023)
Deepak Chowdary Edara, Lakshmi Prasanna Vanukuri, Venkatramaphanikumar Sistla, Venkata Krishna Kishore Kolli
Sentiment analysis and text categorization of cancer medical records with LSTM. J. Ambient Intell. Humaniz. Comput. 14 (5) (2023)
Siva Koteswara Rao Chinnam, Venkatramaphanikumar Sistla, Venkata Krishna Kishore Kolli
Multimodal attention-gated cascaded U-Net model for automatic brain tumor detection and segmentation. Biomed. Signal Process. Control. 78 (2022)
Deepak Chowdary Edara, Venkatramaphanikumar Sistla, Venkata Krishna Kishore Kolli
Deep finesse network model with multichannel syntactic and contextual features for target-specific sentiment classification. Appl. Intell. 52 (8) (2022)
Venkata Rami Reddy Chirra, Srinivasulu Reddy Uyyala, Venkata Krishna Kishore Kolli
Virtual facial expression recognition using deep CNN with ensemble learning. J. Ambient Intell. Humaniz. Comput. 12 (12) (2021)
Edara Deepak Chowdary, S. Venkatramaphanikumar, Venkata Krishna Kishore Kolli
Aspect-level sentiment analysis on goods and services tax tweets with dropout DNN. Int. J. Bus. Inf. Syst. 35 (2) (2020)
Venkatrama Phani Kumar Sistla, Venkata Krishna Kishore Kolli, Lakshmi K. Voggu, Ramyasri Bhavanam, Sasikala Vallabhasoyula
Predictive Model for Network Intrusion Detection System Using Deep Learning. Rev. d'Intelligence Artif. 34 (3) (2020)
Sai Shilpa Padmanabula, Ramya Chowdary Puvvada, Venkatramaphanikumar Sistla, Venkata Krishna Kishore Kolli
Object Detection Using Stacked YOLOv3. Ingénierie des Systèmes d Inf. 25 (5) (2020)
Sravani Nannapaneni, Venkatrama Phani Kumar Sistla, Venkata Krishna Kishore Kolli
Performance Evaluation of Generative Adversarial Networks for Computer Vision Applications. Ingénierie des Systèmes d Inf. 25 (1) (2020)
Venkata Rami Reddy Chirra, Uyyala Reddy, Venkata Krishna Kishore Kolli
Facial Emotion Recognition Using NLPCA and SVM. Traitement du Signal 36 (1) (2019)
Venkatrama Phani Kumar Sistla, Venkata Krishna Kishore Kolli, Kamakshi Prasad Valurouthu
A novel adaptive two-phase multimodal biometric recognition system. Int. Arab J. Inf. Technol. 16 (5) (2019)
Venkata Rami Reddy Chirra, Srinivasulu Reddy Uyyala, Venkata Krishna Kishore Kolli
Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State. Rev. d'Intelligence Artif. 33 (6) (2019)
Siva Chinnam, Venkatrama Phani Kumar Sistla, Venkata Krishna Kishore Kolli
SVM-PUK Kernel Based MRI-brain Tumor Identification Using Texture and Gabor Wavelets. Traitement du Signal 36 (2) (2019)
Kollimarla Anusha Devi, Deepak Chowdary Edara, Venkatrama Phani Kumar Sistla, Venkata Krishna Kishore Kolli
Extended correlated principal component analysis with SVM-PUK in opinion mining. Turkish J. Electr. Eng. Comput. Sci. 26 (5) (2018)