| SIDOD: A Synthetic Image Dataset for 3D Object Pose Recognition with Distractors M Jalal, J Spjut, B Boudaoud, M Betke Computer Vision and Pattern Recognition Workshops (CVPRW), 2019 | 25 | 2019 |
| Demonstration of Santoku: Optimizing Machine Learning over Normalized Data A Kumar, M Jalal, B Yan, J Naughton, J Patel VLDB, 2015 | 24 | 2015 |
| Visual Complexity Analysis using Deep Intermediate-Layer Features E Saraee, M Jalal, M Betke Computer Vision and Image Understanding, 2020 | 23 | 2020 |
| Accurate, fast, but not always cheap: Evaluating “crowdcoding” as an alternative approach to analyze social media data L Guo, K Mays, S Lai, M Jalal, P Ishwar, M Betke Journalism & Mass Communication Quarterly 97 (3), 811-834, 2020 | 13 | 2020 |
| Scraping Social Media Photos Posted in Kenya and Elsewhere to Detect and Analyze Food Types M Jalal, K Wang, J Sankara, Y Zheng, E Nsoesie, M Betke ACM Multimedia MADiMa Workshop, 2019 | 12 | 2019 |
| Detecting frames in news headlines and lead images in US gun violence coverage I Tourni, L Guo, TH Daryanto, F Zhafransyah, EE Halim, M Jalal, B Chen, ... Findings of the Association for Computational Linguistics: 2021 Conference …, 2021 | 9 | 2021 |
| Online Graph Completion: Multivariate Signal Recovery in Computer Vision WH Kim, M Jalal, SJ Hwang, SC Johnson, V Singh Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 7 | 2017 |
| OpenFraming: open-sourced tool for computational framing analysis of multilingual data V Bhatia, VP Akavoor, S Paik, L Guo, M Jalal, A Smith, DA Tofu, EE Halim, ... Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 5 | 2021 |
| SAVOIAS: A Diverse, Multi-Category Visual Complexity Dataset E Saraee, M Jalal, M Betke | 5* | |
| ATL-BP: A Student Engagement Dataset and Model for Affect Transfer Learning for Behavior Prediction N Ruiz, H Yu, DA Allessio, M Jalal, A Joshi, TJ Murray, JJ Magee, ... IEEE Transactions on Biometrics, Identity and Behavior (T-BIOM), 2022 | 2 | 2022 |
| Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System N Ruiz, M Jalal, V Ablavsky, D Allessio, J Magee, J Whitehill, I Arroyo, ... Arxiv, 2020 | 2 | 2020 |
| Comparing the Performance of Crowdworkers and NLP Tools on Named-Entity Recognition and Entity-Level Sentiment Analysis of Political Tweets M Jalal, KK Mays, L Guo, M Betke In Proceedings of the 17th Annual Conference of the North American Chapter …, 2018 | 2* | 2018 |
| Openframing: We brought the ml; you bring the data. interact with your data and discover its frames A Smith, DA Tofu, M Jalal, EE Halim, Y Sun, V Akavoor, M Betke, P Ishwar, ... arXiv preprint arXiv:2008.06974, 2020 | 1 | 2020 |
| A Survey on Community Mining in Social Networks M Jalal, AH Doan | 1 | 2017 |
| ReNo: Novel Switch Architecture for Reliability Improvement of NoCs Z Shirmohammadi, Y Allivand, F Mozzafari, A Patooghy, M Jalal, ... Journal of Supercomputing, 2022 | | 2022 |
| Neural correlates of environmental alterations in retrosplenial cortex and high-resolution infrared tracking of behavior L Cartensen, A Alexander, W Chapman, A Lee, M Patel, Y Gu, M Jalal, ... Neuroscience 2021, 2021 | | 2021 |
| Evaluation of Application Mapping for Network-on-Chips M Jalal, Z Shirmohammadi, A Patooghy, SG Miremadi Proceedings of the International Conference on Real-Time & Embedded Systems …, 2010 | | 2010 |
| A Reconfigurable Switch Architecture to Enhance Reliability of Network-on-Chips Z Shirmohammadi, M Jalal, A Patooghy, SG Miremadi Proceedings of the International Conference on Real-Time & Embedded Systems …, 2010 | | 2010 |
| Exploiting Heterogeneity in Amazon EC2 for Saving Cost M Jalal, V Varadarjan, M Swift | | |
Margrit BetkeComputer Science, Boston Universitybu.edu의 이메일 확인됨
