Matrix Profile XIII: Time Series Snippets: A New Primitive for Time Series Data Mining. - Shima Imani; Frank Madrid; Wei Ding 003; Scott E. Crouter; Eamonn J. Keogh (ICBK, 2018)

Matrix Profile XII: MPdist: A Novel Time Series Distance Measure to Allow Data Mining in More Challenging Scenarios. - Shaghayegh Gharghabi; Shima Imani; Anthony J. Bagnall; Amirali Darvishzadeh; Eamonn J. Keogh (ICDM, 2018)

Matrix Profile XX: Finding and Visualizing Time Series Motifs of All Lengths using the Matrix Profile. - Frank Madrid; Shima Imani; Ryan Mercer; Zachary Zimmerman; Nader Shakibay Senobari; Eamonn J. Keogh (ICBK, 2019)

Matrix Profile XIX: Time Series Semantic Motifs: A New Primitive for Finding Higher-Level Structure in Time Series. - Shima Imani; Eamonn J. Keogh (ICDM, 2019)

Putting the Human in the Time Series Analytics Loop. - Shima Imani; Sara Alaee; Eamonn J. Keogh (WWW (Companion Volume), 2019)

Fitbit for Chickens?: Time Series Data Mining Can Increase the Productivity of Poultry Farms. - Alireza Abdoli; Sara Alaee; Shima Imani; Amy C. Murillo; Alec C. Gerry; Leslie Hickle; Eamonn J. Keogh (KDD, 2020)

Natura: Towards Conversational Analytics for Comparing and Contrasting Time Series. - Shima Imani; Eamonn J. Keogh (WWW (Companion Volume), 2020)

An ultra-fast time series distance measure to allow data mining in more complex real-world deployments. - Shaghayegh Gharghabi; Shima Imani; Anthony J. Bagnall; Amirali Darvishzadeh; Eamonn J. Keogh (Data Min. Knowl. Discov., 2020)

Introducing time series snippets: a new primitive for summarizing long time series. - Shima Imani; Frank Madrid; Wei Ding 003; Scott E. Crouter; Eamonn J. Keogh (Data Min. Knowl. Discov., 2020)

Novel Primitive for Analyzing Massive Time Series Data Set. - Shima Imani (2020)

tGLAD: A Sparse Graph Recovery Based Approach for Multivariate Time Series Segmentation. - Shima Imani; Harsh Shrivastava 001 (AALTD@ECML/PKDD, 2023)

MathPrompter: Mathematical Reasoning using Large Language Models. - Shima Imani; Liang Du; Harsh Shrivastava 001 (ACL (industry), 2023)

Are uGLAD? Time will tell! - Shima Imani; Harsh Shrivastava 001 (CoRR, 2023)

DiversiGATE: A Comprehensive Framework for Reliable Large Language Models. - Shima Imani; Ali Beyram; Harsh Shrivastava 001 (CoRR, 2023)

Exploring Group and Symmetry Principles in Large Language Models. - Shima Imani; Hamid Palangi (CoRR, 2024)

Learning How To Ask: Cycle-Consistency Refines Prompts in Multimodal Foundation Models. - Maurice Diesendruck; Jianzhe Lin; Shima Imani; Gayathri Mahalingam; Mingyang Xu; Jie Zhao (CoRR, 2024)

Next-Token Prediction Task Assumes Optimal Data Ordering for LLM Training in Proof Generation. - Chenyang An; Shima Imani; Feng Yao; Chengyu Dong; Ali Abbasi 008; Harsh Shrivastava 001; Samuel Buss; Jingbo Shang; Gayathri Mahalingam; Pramod Sharma; Maurice Diesendruck (CoRR, 2024)

Diffusion-Augmented Coreset Expansion for Scalable Dataset Distillation. - Ali Abbasi 008; Shima Imani; Chenyang An; Gayathri Mahalingam; Harsh Shrivastava 001; Maurice Diesendruck; Hamed Pirsiavash; Pramod Sharma; Soheil Kolouri (CoRR, 2024)