| Wigem: A learning-based approach for indoor localization A Goswami, LE Ortiz, SR Das Proceedings of the seventh conference on emerging networking experiments and …, 2011 | 166 | 2011 |
| Machine learning at Microsoft with ML. NET Z Ahmed, S Amizadeh, M Bilenko, R Carr, WS Chin, Y Dekel, X Dupre, ... Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 75 | 2019 |
| Phi-3 technical report: A highly capable language model locally on your phone M Abdin, SA Jacobs, AA Awan, J Aneja, A Awadallah, H Awadalla, ... arXiv preprint arXiv:2404.14219, 2024 | 60 | 2024 |
| Example-based named entity recognition M Ziyadi, Y Sun, A Goswami, J Huang, W Chen arXiv preprint arXiv:2008.10570, 2020 | 36 | 2020 |
| Enhanced content quality using content features A Goswami, R Paravastu, W Ding, W Kwak US Patent App. 14/856,236, 2017 | 30 | 2017 |
| Exploit-explore on heterogeneous data streams JR Parmar, A Goswami, S Shah US Patent App. 15/174,792, 2017 | 18 | 2017 |
| Das. 2011 A Goswami, LE Ortiz, R Samir WiGEM: A Learning-based Approach for Indoor Localization, 0 | 7 | |
| Deep Dish: Deep learning for classifying food dishes A Goswami, H Liu Stanford Univ, 2017 | 5 | 2017 |
| Wireless indoor localization using expectation-maximization on gaussian mixture models A Goswami State University of New York at Stony Brook, 2011 | 1 | 2011 |
Samir R. DasProfessor, Computer Science Department, Stony Brook University在 cs.stonybrook.edu 的电子邮件经过验证
Samir R. DasProfessor, Computer Science Department, Stony Brook University在 cs.stonybrook.edu 的电子邮件经过验证
Mikhail BilenkoMicrosoft在 microsoft.com 的电子邮件经过验证
Markus WeimerPrincipal Scientist; Microsoft在 microsoft.com 的电子邮件经过验证