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V
Venkateswara Rao Kagita
department of computer science and engineering
10
H指数
50
论文数
329
被引数
0
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14
发表时间
发表时间
IF
被引数
HPC-accelerated parallel algorithms for large-scale power system contingency analysis
基于高性能计算的并行算法在大规模电力系统事故分析中的应用
Electric Power Systems Research
IF
4.2
2026-09-19
0
PRE
AI
Sai Nandini P; Ram Krishan; Pavan Neerudu; Venkateswara Rao Kagita
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GCRA-Rec: a graph convolutional recurrent attention recommender model for dynamic relevance weighting of historical interactions
GCRA-Rec:一种用于历史交互动态相关性加权的图卷积循环注意力推荐模型
Knowledge and Information Systems
IF
3.1
2026-08-21
0
PRE
AI
Dawed Omer Ahmed; Venkateswara Rao Kagita; Vikas Kumar
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Deep maximum margin matrix factorization
深度最大间隔矩阵分解
Scientific Reports
IF
3.9
2026-03-22
0
OA
AI
Shailendra Kumar; Venkateswara Rao Kagita; Vikas Kumar; Gaurav Niranjan
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Group learning in recommendation systems: towards adaptive and implicit group modeling
推荐系统中的群体学习: 自适应和隐式群体建模
Scientific Reports
IF
3.9
2026-01-21
0
OA
AI
Nagarjuna Reddy Busireddy; Venkateswara Rao Kagita; Vikas Kumar
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Cross-domain recommender systems via multimodal domain adaptation
COMPUTERS & ELECTRICAL ENGINEERING
IF
4.9
2025-04-01
0
PRE
AI
Shyam, Adamya; Kamani, Ramya; Kagita, Venkateswara Rao; Kumar, Vikas
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UniRecSys: A unified framework for personalized, group, package, and package-to-group recommendations
KNOWLEDGE-BASED SYSTEMS
IF
7.6
2024-04-01
1
OA
AI
Shyam, Adamya; Kumar, Vikas; Kagita, Venkateswara Rao; Pujari, Arun K.
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Data augmentation and refinement for recommender system: A semi-supervised approach using maximum margin matrix factorization
EXPERT SYSTEMS WITH APPLICATIONS
IF
7.5
2024-03-01
3
OA
AI
Shaikh, Shamal; Kagita, Venkateswara Rao; Kumar, Vikas; Pujari, Arun K.
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High-performance computing for static security assessment of large power systems
CONNECTION SCIENCE
IF
3.4
2023-10-04
0
OA
AI
Kagita, Venkateswara Rao; Panda, Sanjaya Kumar; Krishan, Ram; Reddy, P. Deepak; Aswanth, Jabba
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Inductive conformal recommender system
KNOWLEDGE-BASED SYSTEMS
IF
7.6
2022-08-01
1
OA
AI
Kagita, Venkateswara Rao; Pujari, Arun K.; Padmanabhan, Vineet; Kumar, Vikas
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Skyline recommendation with uncertain preferences
PATTERN RECOGNITION LETTERS
IF
3.3
2019-07-01
2
PRE
AI
Kagita, Venkateswara Rao; Pujari, Arun K.; Padmanabhan, Vineet; Kumar, Vikas
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Group preserving label embedding for multi-label classification
用于多标签分类的组保持标签嵌入
PATTERN RECOGNITION
IF
7.6
2019-06-01
27
OA
AI
Kumar, Vikas; Pujari, Arun K.; Padmanabhan, Vineet; Kagita, Venkateswara Rao
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Multi-label classification using hierarchical embedding
EXPERT SYSTEMS WITH APPLICATIONS
IF
7.5
2018-01-01
20
PRE
AI
Kumar, Vikas; Pujari, Arun K.; Padmanabhan, Vineet; Sahu, Sandeep Kumar; Kagita, Venkateswara Rao
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Proximal maximum margin matrix factorization for collaborative filtering
PATTERN RECOGNITION LETTERS
IF
3.3
2017-01-01
26
PRE
AI
Kumar, Vikas; Pujari, Arun K.; Sahu, Sandeep Kumar; Kagita, Venkateswara Rao; Padmanabhan, Vineet
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Bounds on skyline probability for databases with uncertain preferences
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
IF
3
2017-01-01
4
OA
AI
Pujari, Arun K.; Padmanabhan, Vineet; Kagita, Venkateswara Rao
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研究方向
暂无研究方向
合作学者
合作期刊
V
Vineet Padmanabhan
H 指数: 33 · 论文数: 155
S
Sanjaya Kumar Panda
H 指数: 28 · 论文数: 156
A
Arun K. Pujari
H 指数: 23 · 论文数: 152
V
Vikas Kumar
H 指数: 14 · 论文数: 68
S
Sandeep Sahu
H 指数: 11 · 论文数: 57
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