Steering top-k influencers in dynamic graphs via local updates VK Yalavarthi, A Khan 2018 IEEE International Conference on Big Data (Big Data), 576-583, 2018 | 17* | 2018 |
Select Your Questions Wisely: For Entity Resolution With Crowd Errors VK Yalavarthi, X Ke, A Khan ACM on Conference on Information and Knowledge Management, 317-326, 2017 | 15* | 2017 |
A demonstration of PERC: probabilistic entity resolution with crowd errors X Ke, M Teo, A Khan, VK Yalavarthi Proceedings of the VLDB Endowment 11 (12), 1922-1925, 2018 | 6 | 2018 |
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series VK Yalavarthi, J Burchert, L Schmidt-Thieme 2022 IEEE 9th International Conference on Data Science and Advanced …, 2022 | 5 | 2022 |
Open set recognition for time series classification T Akar, T Werner, VK Yalavarthi, L Schmidt-Thieme Pacific-Asia Conference on Knowledge Discovery and Data Mining, 354-366, 2022 | 4 | 2022 |
A novel incremental class learning technique for multi-class classification MJ Er, VK Yalavarthi, N Wang, R Venkatesan Advances in Neural Networks–ISNN 2016: 13th International Symposium on …, 2016 | 4 | 2016 |
Tripletformer for Probabilistic Interpolation of Irregularly sampled Time Series VK Yalavarthi, J Burchert, L Schmidt-Thieme 2023 IEEE International Conference on Big Data (BigData), 986-995, 2023 | 2* | 2023 |
Forecasting Irregularly Sampled Time Series using Graphs VK Yalavarthi, K Madhusudanan, R Sholz, N Ahmed, J Burchert, S Javed, ... arXiv preprint arXiv:2305.12932, 2023 | 1 | 2023 |
Gait verification using deep learning with a pairwise loss VK Yalavarthi, J Grabocka, H Mandalapu, L Schmidt-Thieme 2019 International Conference of the Biometrics Special Interest Group …, 2019 | 1 | 2019 |
Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting C Klötergens, VK Yalavarthi, M Stubbemann, L Schmidt-Thieme arXiv preprint arXiv:2405.03582, 2024 | | 2024 |
Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training J Burchert, T Werner, VK Yalavarthi, DC de Portugal, M Stubbemann, ... arXiv preprint arXiv:2404.06966, 2024 | | 2024 |
Probabilistic Forecasting of Irregular Time Series via Conditional Flows VK Yalavarthi, R Scholz, S Born, L Schmidt-Thieme arXiv preprint arXiv:2402.06293, 2024 | | 2024 |
Forecasting Early with Meta Learning S Jawed, K Madhusudhanan, VK Yalavarthi, L Schmidt-Thieme 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | | 2023 |
Open Set Recognition in Semantic Segmentation R Raghuraman, L Schmidt-Thieme, VK Yalavarthi, S Raafatnia | | 2020 |
A hybrid machine learning technique for complex non-stationary classification problems VK Yalavarthi | | 2018 |