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ORCIDShima Imani
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2020 – today
- 2024
[i5]Shima Imani, Hamid Palangi:
Exploring Group and Symmetry Principles in Large Language Models. CoRR abs/2402.06120 (2024)- [i4]Maurice Diesendruck, Jianzhe Lin, Shima Imani, Gayathri Mahalingam, Mingyang Xu, Jie Zhao:
Learning How To Ask: Cycle-Consistency Refines Prompts in Multimodal Foundation Models. CoRR abs/2402.08756 (2024) - 2023
- [c9]Shima Imani, Harsh Shrivastava:
tGLAD: A Sparse Graph Recovery Based Approach for Multivariate Time Series Segmentation. AALTD@ECML/PKDD 2023: 176-189 - [c8]Shima Imani, Liang Du, Harsh Shrivastava:
MathPrompter: Mathematical Reasoning using Large Language Models. ACL (industry) 2023: 37-42 - [i3]Shima Imani, Liang Du, Harsh Shrivastava:
MathPrompter: Mathematical Reasoning using Large Language Models. CoRR abs/2303.05398 (2023) - [i2]Shima Imani, Harsh Shrivastava:
Are uGLAD? Time will tell! CoRR abs/2303.11647 (2023) - [i1]Shima Imani, Ali Beyram, Harsh Shrivastava:
DiversiGATE: A Comprehensive Framework for Reliable Large Language Models. CoRR abs/2306.13230 (2023) - 2020
- [b1]Shima Imani:
Novel Primitive for Analyzing Massive Time Series Data Set. University of California, Riverside, USA, 2020 - [j2]Shaghayegh Gharghabi
, Shima Imani, Anthony J. Bagnall, Amirali Darvishzadeh, Eamonn J. Keogh:
An ultra-fast time series distance measure to allow data mining in more complex real-world deployments. Data Min. Knowl. Discov. 34(4): 1104-1135 (2020) - [j1]Shima Imani, Frank Madrid, Wei Ding, Scott E. Crouter, Eamonn J. Keogh:
Introducing time series snippets: a new primitive for summarizing long time series. Data Min. Knowl. Discov. 34(6): 1713-1743 (2020) - [c7]Alireza Abdoli, Sara Alaee, Shima Imani, Amy C. Murillo, Alec C. Gerry, Leslie Hickle, Eamonn J. Keogh:
Fitbit for Chickens?: Time Series Data Mining Can Increase the Productivity of Poultry Farms. KDD 2020: 3328-3336 - [c6]Shima Imani, Eamonn J. Keogh:
Natura: Towards Conversational Analytics for Comparing and Contrasting Time Series. WWW (Companion Volume) 2020: 46-47
2010 – 2019
- 2019
- [c5]Frank Madrid, Shima Imani, Ryan Mercer, Zachary Zimmerman, Nader Shakibay Senobari, Eamonn J. Keogh:
Matrix Profile XX: Finding and Visualizing Time Series Motifs of All Lengths using the Matrix Profile. ICBK 2019: 175-182 - [c4]Shima Imani, Eamonn J. Keogh:
Matrix Profile XIX: Time Series Semantic Motifs: A New Primitive for Finding Higher-Level Structure in Time Series. ICDM 2019: 329-338 - [c3]Shima Imani, Sara Alaee, Eamonn J. Keogh:
Putting the Human in the Time Series Analytics Loop. WWW (Companion Volume) 2019: 635-644 - 2018
- [c2]Shima Imani, Frank Madrid, Wei Ding, Scott E. Crouter, Eamonn J. Keogh:
Matrix Profile XIII: Time Series Snippets: A New Primitive for Time Series Data Mining. ICBK 2018: 382-389 - [c1]Shaghayegh Gharghabi, Shima Imani, Anthony J. Bagnall, Amirali Darvishzadeh, Eamonn J. Keogh:
Matrix Profile XII: MPdist: A Novel Time Series Distance Measure to Allow Data Mining in More Challenging Scenarios. ICDM 2018: 965-970
Coauthor Index
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last updated on 2024-10-07 22:24 CEST by the dblp team
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