| OpenML: A collaborative science platform JN Van Rijn, B Bischl, L Torgo, B Gao, V Umaashankar, S Fischer, ... Joint european conference on machine learning and knowledge discovery in …, 2013 | 110 | 2013 |
| IOT enabled smart logistics using smart contracts SS Arumugam, V Umashankar, NC Narendra, R Badrinath, AP Mujumdar, ... 2018 8th International conference on logistics, informatics and service …, 2018 | 96 | 2018 |
| Activeharnet: Towards on-device deep bayesian active learning for human activity recognition GK Gudur, P Sundaramoorthy, V Umaashankar The 3rd international workshop on deep learning for mobile systems and …, 2019 | 48 | 2019 |
| Effectiveness of hierarchical softmax in large scale classification tasks AA Mohammed, V Umaashankar 2018 International Conference on Advances in Computing, Communications and …, 2018 | 47 | 2018 |
| Mobility prediction for 5g core networks J Jeong, D Roeland, J Derehag, ÅA Johansson, V Umaashankar, G Sun, ... IEEE Communications Standards Magazine 5 (1), 56-61, 2021 | 33 | 2021 |
| Atlas: A dataset and benchmark for e-commerce clothing product categorization V Umaashankar, A Prakash arXiv preprint arXiv:1908.08984, 2019 | 11 | 2019 |
| A RapidMiner extension for open machine learning JN van Rijn, V Umaashankar, S Fischer, B Bischl, L Torgo, B Gao, ... RapidMiner Community Meeting and Conference, 59-70, 2013 | 8 | 2013 |
| Multi-Label Multi-Class Hierarchical Classification using Convolutional Seq2Seq. V Umaashankar, Girish Shanmugam S KONVENS, 2019 | 5 | 2019 |
| Label Frequency Transformation for Multi-Label Multi-Class Text Classification. AK Raghavan, V Umaashankar, GK Gudur KONVENS, 2019 | 5 | 2019 |
| Time series based approach for detecting passive intermodulation occurrences in cellular network HG Ranjani, SP Puthennurakel, A Brisebois, S Banerjee, V Umaashankar 2022 14th International Conference on COMmunication Systems & NETworkS …, 2022 | 4 | 2022 |
| Prediction of Throughput Degradation from Trouble Frequencies, given Environmental Unknowns J Bose, HG Ranjani, S Bannerjee, V Umaashankar 2022 14th International Conference on COMmunication Systems & NETworkS …, 2022 | 2 | 2022 |
| Methods and apparatuses for determining whether an anomalous event occurred locally at a first entity SP Puthenpurakel, HG Ranjani, A Brisebois, V Umaashankar, S Banerjee US Patent App. 18/292,039, 2024 | | 2024 |
| Reducing interference in a communications network S Banerjee, B Joy, HG Ranjani, V Umaashankar US Patent App. 18/287,855, 2024 | | 2024 |
| ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition G Krishna Gudur, P Sundaramoorthy, V Umaashankar arXiv e-prints, arXiv: 1906.00108, 2019 | | 2019 |
| Ask Less: Scale Market Research Without Annoying Your Customers V Umaashankar, S Girish Shanmugam International Conference on Artificial Intelligence, Smart Grid and Smart …, 2019 | | 2019 |
| Effectiveness of Hierarchical Softmax in Large Scale Classification Tasks A Arfat Mohammed, V Umaashankar arXiv e-prints, arXiv: 1812.05737, 2018 | | 2018 |
| Optimization plugin for RapidMiner V Umaashankar, L Sangkyun | | 2012 |
| LabelFrequencyTransformationforMulti-Label Multi-ClassTextClassification R AK, V Umaashankar, GK Gudur | | |
| BayesianActiveLearningforWearableandMobileHealth GK Gudur, A Ragav, P Sundaramoorthy, V Umaashankar | | |
| Handling Real-time Unlabeled Data in Activity Recognition using Deep Bayesian Active Learning and Data Programming GK Gudur, P Sundaramoorthy, V Umaashankar | | |
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichE-mail megerősítve itt: stat.uni-muenchen.de