Vijaya Krishna Yalavarthi
机构: University of Hildesheim
每年引用次数
引用次数
引用: 55
H-指数: 4
I10-指数 : 2
出版物: 15
A hybrid machine learning technique for complex non-stationary classification problems
, Krishna Yalavarthi Vijaya
Nanyang Technological University
2018
Gait Verification using Deep Learning with a Pairwise Loss
Lars Schmidt-Thieme , Josif Grabocka , Vijaya Krishna Yalavarthi , Hareesh Mandalapu
international conference on biometrics 141 -152
1
2019
A Novel Incremental Class Learning Technique for Multi-class Classification
Meng Joo Er , Vijaya Krishna Yalavarthi , Ning Wang , Rajasekar Venkatesan
international symposium on neural networks 474 -481
4
2016
Steering Top-k Influencers in Dynamic Graphs via Local Updates
Vijaya Krishna Yalavarthi , Arijit Khan
2018 IEEE International Conference on Big Data (Big Data) 576 -583
2
2018
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series
Vijaya Krishna Yalavarthi , Johannes Burchert , Lars Schmidt-Thieme
Smpte Journal 1 -10
2022
A Demonstration of PERC: Probabilistic Entity Resolution With Crowd Errors
Xiangyu Ke , Michelle Teo , Arijit Khan , Vijaya Krishna Yalavarthi
Proceedings of the VLDB Endowment 11 ( 12) 1922 -1925
6
2018
Select Your Questions Wisely: For Entity Resolution With Crowd Errors
Vijaya Krishna Yalavarthi , Xiangyu Ke , Arijit Khan
arXiv e-prints arXiv: 1701.08288 -arXiv: 1701.08288
2017
Open set recognition for time series classification
Tolga Akar , Thorben Werner , Vijaya Krishna Yalavarthi , Lars Schmidt-Thieme
Springer International Publishing 354 -366
4
2022
Tripletformer for Probabilistic Interpolation of Irregularly sampled Time Series
Vijaya Krishna Yalavarthi , Johannes Burchert , Lars Schmidt-Thieme
2023 IEEE International Conference on Big Data (BigData) 986 -995
2
2023
Forecasting Irregularly Sampled Time Series using Graphs
Vijaya Krishna Yalavarthi , Kiran Madhusudanan , Randolf Sholz , Nourhan Ahmed
arXiv preprint arXiv:2305.12932
1
2023
Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting
Christian Klötergens , Vijaya Krishna Yalavarthi , Maximilian Stubbemann , Lars Schmidt-Thieme
arXiv preprint arXiv:2405.03582
2024
Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training
Johannes Burchert , Thorben Werner , Vijaya Krishna Yalavarthi , Diego Coello de Portugal
arXiv preprint arXiv:2404.06966
2024
Probabilistic Forecasting of Irregular Time Series via Conditional Flows
Vijaya Krishna Yalavarthi , Randolf Scholz , Stefan Born , Lars Schmidt-Thieme
arXiv preprint arXiv:2402.06293
2024
Forecasting Early with Meta Learning
Shayan Jawed , Kiran Madhusudhanan , Vijaya Krishna Yalavarthi , Lars Schmidt-Thieme
2023 International Joint Conference on Neural Networks (IJCNN) 1 -8
2023
Open Set Recognition in Semantic Segmentation
Ramya Raghuraman , Lars Schmidt-Thieme , Vijaya Krishna Yalavarthi , Shervin Raafatnia
2020