| Critical assessment of automated flow cytometry data analysis techniques N Aghaeepour, G Finak, TF Consortium, TD Consortium, H Hoos, ... Nature Methods, 2013 | 683 | 2013 |
| Automated Analysis and Prediction of Job Interview Performance I Naim, MI Tanveer, D Gildea, ME Hoque arXiv preprint arXiv:1504.03425, 2015 | 189 | 2015 |
| Automated Prediction and Analysis of Job Interview Performance: The Role of What You Say and How You Say It I Naim, MI Tanveer, D Gildea, ME Hoque | 156 | 2015 |
| SWIFT—scalable clustering for automated identification of rare cell populations in large, high-dimensional flow cytometry datasets, Part 1: Algorithm design I Naim, S Datta, J Rebhahn, JS Cavenaugh, TR Mosmann, G Sharma Cytometry Part A, 2014 | 101 | 2014 |
| Remote controlling of home appliances using mobile telephony R Shahriyar, E Hoque, SM Sohan, I Naim, MM Akbar, MK Khan International Journal of Smart Home 2 (3), 37-54, 2008 | 91 | 2008 |
| Convergence of the EM Algorithm for Gaussian Mixtures with Unbalanced Mixing Coefficients I Naim, D Gildea International Conference on Machine Learning (ICML), 1655-1662, 2012 | 87 | 2012 |
| Gecko: Versatile text embeddings distilled from large language models J Lee, Z Dai, X Ren, B Chen, D Cer, JR Cole, K Hui, M Boratko, ... arXiv preprint arXiv:2403.20327, 2024 | 80 | 2024 |
| SWIFT—scalable clustering for automated identification of rare cell populations in large, high-dimensional flow cytometry datasets, Part 2: Biological evaluation TR Mosmann, I Naim, J Rebhahn, S Datta, JS Cavenaugh, JM Weaver, ... Cytometry Part A, 2014 | 78 | 2014 |
| Unsupervised Alignment of Natural Language Instructions with Video Segments I Naim, YC Song, Q Liu, H Kautz, J Luo, D Gildea The Twenty-Eighth AAAI Conference (AAAI-14), 2014 | 57 | 2014 |
| Unsupervised Alignment of Actions in Video with Text Descriptions. YC Song, I Naim, A Al Mamun, K Kulkarni, P Singla, J Luo, D Gildea, ... IJCAI, 2025-2031, 2016 | 49 | 2016 |
| System and method for detection of high-interest events in video data N Ramakrishnan, I Naim US Patent 9,589,190, 2017 | 48 | 2017 |
| Text alignment for real-time crowd captioning I Naim, D Gildea, W Lasecki, JP Bigham Proceedings of the 2013 Conference of the North American Chapter of the …, 2013 | 36 | 2013 |
| Scribe: deep integration of human and machine intelligence to caption speech in real time WS Lasecki, CD Miller, I Naim, R Kushalnagar, A Sadilek, D Gildea, ... Communications of the ACM 60 (9), 93-100, 2017 | 34 | 2017 |
| Discriminative Unsupervised Alignment of Natural Language Instructions with Corresponding Video Segments I Naim, YC Song, Q Liu, L Huang, H Kautz, J Luo, D Gildea In Proceedings of NAACL 2015, 2015 | 34 | 2015 |
| SWIFT: Scalable weighted iterative sampling for flow cytometry clustering I Naim, S Datta, G Sharma, JS Cavenaugh, TR Mosmann Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International …, 2010 | 29 | 2010 |
| Rethinking the role of token retrieval in multi-vector retrieval J Lee, Z Dai, SMK Duddu, T Lei, I Naim, MW Chang, V Zhao Advances in Neural Information Processing Systems 36, 15384-15405, 2023 | 25 | 2023 |
| Transforming sequence tagging into a seq2seq task K Raman, I Naim, J Chen, K Hashimoto, K Yalasangi, K Srinivasan arXiv preprint arXiv:2203.08378, 2022 | 22 | 2022 |
| Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? J Lee, A Chen, Z Dai, D Dua, DS Sachan, M Boratko, Y Luan, SMR Arnold, ... arXiv preprint arXiv:2406.13121, 2024 | 19 | 2024 |
| Multi-vector retrieval as sparse alignment Y Qian, J Lee, SMK Duddu, Z Dai, S Brahma, I Naim, T Lei, VY Zhao arXiv preprint arXiv:2211.01267, 2022 | 15 | 2022 |
| Controlling remote system using mobile telephony R Shahriyar, E Hoque, I Naim, SM Sohan, M Akbar Proceedings of the 1st international conference on MOBILe Wireless …, 2008 | 12 | 2008 |
Ehsan HoqueProfessor of Computer Science, University of Rochester確認したメール アドレス: cs.rochester.edu