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ORCIDAbhishek Verma 0005
Person information
- affiliation: California State University (CSUN), Northridge, CA, USA
Other persons with the same name
- Abhishek Verma — disambiguation page
- Abhishek Verma 0001
![[0009-0000-0456-0775]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0009-0000-0456-0775")
— Department of Information Technology, SRMIST, Chennai, Tamil Nadu, India - Abhishek Verma 0002 — Malaviya National Institute of Technology, Jaipur, India
- Abhishek Verma 0003 — Babasaheb Bhimrao Ambedkar University, Lucknow, India
- Abhishek Verma 0004 — University of Wisconsin-Stout, Menomonie, WI, USA
- Abhishek Verma 0006 — Indian Institute of Technology Bombay, Mumbai, India
- Abhishek Verma 0007 — Indian Institute of Management, Rohtak, Haryana, India
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2020 – today
- 2025
[j9]Andrew Quintanilla, Abhishek Verma:
Novel deep learning model with fusion of multiple pipelines for stock market prediction. Int. J. Adv. Intell. Paradigms 30(3): 247-259 (2025)- [j8]Oguzhan Akan, Abhishek Verma, Sonika Sharma:
Modelling the demand trend for automobile parts using machine learning methods. Int. J. Artif. Intell. Soft Comput. 9(1): 62-83 (2025) - [j7]Mrunal Prakash Gavali, Abhishek Verma:
Ensemble of large self-supervised transformers for improving speech emotion recognition. Int. J. Data Min. Model. Manag. 17(2): 217-244 (2025) - 2023
- [c19]Mrunal Prakash Gavali, Abhishek Verma:
Automatic Recognition of Emotions in Speech With Large Self-Supervised Learning Transformer Models. AIBThings 2023: 1-7 - [c18]Chary Vielma, Abhishek Verma, Doina Bein:
Sentiment Analysis with Novel GRU based Deep Learning Networks. AIIoT 2023: 440-446 - 2022
- [c17]Oguzhan Akan, Abhishek Verma:
Machine Learning Models for Customer Churn Risk Prediction. UEMCON 2022: 623-628 - 2021
- [c16]Joel Varma Dirisam, Doina Bein, Abhishek Verma:
Predictive Analytics of Donors in crowdfunding platforms: A case study on Donorschoose.org. CCWC 2021: 834-838 - 2020
- [j6]Jithin Eapen, Abhishek Verma, Doina Bein:
Improved big data stock index prediction using deep learning with CNN and GRU. Int. J. Big Data Intell. 7(4): 202-210 (2020) - [j5]Yukhe Lavinia, Holly H. Vo, Abhishek Verma:
New colour fusion deep learning model for large-scale action recognition. Int. J. Comput. Vis. Robotics 10(1): 41-60 (2020) - [j4]Hussein A. Al-Barazanchi, Hussam Qassim, Abhishek Verma:
Large-scale scene image categorisation with deep learning-based model. Int. J. Comput. Vis. Robotics 10(3): 185-201 (2020)
2010 – 2019
- 2019
- [c15]Jithin Eapen, Doina Bein, Abhishek Verma:
Novel Deep Learning Model with CNN and Bi-Directional LSTM for Improved Stock Market Index Prediction. CCWC 2019: 264-270 - [c14]Anoop Jeerige, Doina Bein, Abhishek Verma:
Comparison of Deep Reinforcement Learning Approaches for Intelligent Game Playing. CCWC 2019: 366-371 - [c13]Resham Jhangiani, Doina Bein, Abhishek Verma:
Machine Learning Pipeline for Fraud Detection and Prevention in E-Commerce Transactions. UEMCON 2019: 135-140 - [c12]Paul K. Mandal, Abhishek Verma:
Novel Hash-Based Radix Sorting Algorithm. UEMCON 2019: 149-153 - 2018
- [j3]Hussein A. Al-Barazanchi, Abhishek Verma, X. Shawn Wang:
Intelligent plankton image classification with deep learning. Int. J. Comput. Vis. Robotics 8(6): 561-571 (2018) - [c11]Hussam Qassim, Abhishek Verma, David Feinzimer:
Compressed residual-VGG16 CNN model for big data places image recognition. CCWC 2018: 169-175 - [c10]Phillip Ly, Doina Bein, Abhishek Verma:
New Compact Deep Learning Model for Skin Cancer Recognition. UEMCON 2018: 255-261 - 2017
- [c9]Venkata Sindhoor Preetham Patnam, Feba Thankachan George, Kiran George, Abhishek Verma:
Deep Learning Based Recognition of Meltdown in Autistic Kids. ICHI 2017: 391-396 - [c8]Abhishek Verma, Hussam Qassim, David Feinzimer:
Residual squeeze CNDS deep learning CNN model for very large scale places image recognition. UEMCON 2017: 463-469 - [c7]Alec Yenter, Abhishek Verma:
Deep CNN-LSTM with combined kernels from multiple branches for IMDb review sentiment analysis. UEMCON 2017: 540-546 - [c6]Abhishek Verma, Yu Liu:
Hybrid deep learning ensemble model for improved large-scale car recognition. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-7 - 2016
- [c5]Holly H. Vo, Abhishek Verma:
Discriminant color texture descriptors for diabetic retinopathy recognition. ICCP 2016: 309-315 - [c4]Holly H. Vo, Abhishek Verma:
New Deep Neural Nets for Fine-Grained Diabetic Retinopathy Recognition on Hybrid Color Space. ISM 2016: 209-215 - [c3]Yukhe Lavinia, Holly H. Vo, Abhishek Verma:
Fusion Based Deep CNN for Improved Large-Scale Image Action Recognition. ISM 2016: 609-614 - [c2]Hussein A. Al-Barazanchi, Hussam Qassim, Abhishek Verma:
Novel CNN architecture with residual learning and deep supervision for large-scale scene image categorization. UEMCON 2016: 1-7 - 2012
- [j2]Abhishek Verma, Chengjun Liu, Jiancheng Kevin Jia:
Iris recognition based on robust iris segmentation and image enhancement. Int. J. Biom. 4(1): 56-76 (2012) - [p1]Sugata Banerji, Abhishek Verma, Chengjun Liu:
LBP and Color Descriptors for Image Classification. Cross Disciplinary Biometric Systems 2012: 205-225 - 2011
- [j1]Abhishek Verma, Chengjun Liu, Jiancheng Jia:
New colour SIFT descriptors for image classification with applications to biometrics. Int. J. Biom. 3(1): 56-75 (2011) - [c1]Abhishek Verma, Chengjun Liu:
Novel EFM-KNN classifier and a new color descriptor for image classification. WOCC 2011: 1-6
Coauthor Index
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