- Representing context and priority in working memory
Q. Wan, A. Ardalan, J. Fulvio, B. R. Postle
bioRxiv, 2023 - Recurrent Neural Network Models for Working Memory of Continuous Variables: Activity Manifolds, Connectivity Patterns, and Dynamic Codes
C. J. Cueva, A. Ardalan, M. Tsodyks, N. Qian
arXiv, 2021 - Deliberate Paradigm Shift in Research in Rare Neurodevelopmental Disorders
J. M. Bain, A. Ardalan, S. Goldman
Orphanet J. Rare Dis., 16:263, 2021
- Toward Data Cleaning with a Target Accuracy: A Case Study for Value Normalization
A. Ardalan, D. Paulsen, A. S. Saini, W. Cai, A. Doan
IEEE Intl. Conf. Big Data, 2022 (Technical Report: arXiv:2101.05308)
- Whole-Body Movement during Videogame Play Distinguishes Youth with Autism from Youth with Typical Development
A. Ardalan, A. H. Assadi, O. J. Surgent, B. G. Travers
Nature Sci. Rep. 9(1):20094, 2019
- Efficiently Executing Random Forests over Tables to Build Hands-Off String Matching Services
P. Suganthan G.C., A. Ardalan, A. Doan, A. Akella
VLDB'19
- In-RDBMS Hardware Acceleration of Advanced Analytics
D. Mahajan, J. K. Kim, J. Sacks, A. Ardalan, Arun Kumar, Hadi Esmaeilzadeh
VLDB'18
- Toward a System Building Agenda for Data Integration (and Data Science)
A. Doan, P. Konda, P. Suganthan G. C., A. Ardalan, J. Ballard, S. Das, Y. Govind, H. Li, P. Martinkus, S. Mudgal, E. Paulson, H. Zhang
IEEE Data Eng. Bull., 41(2):37-49, 2018
- Human-in-the-Loop Challenges for Entity Matching: A Midterm Report
A. Doan, A. Ardalan, J. Ballard, Y. Govind, P. Konda, H. Li, S. Mudgal, E. Paulson, P. Suganthan G.C., H. Zhang
HILDA'17
- Magellan: Toward Building Entity Matching Management Systems
P. Konda, S. Das, P. Suganthan G.C., A. Doan, A. Ardalan, J. R. Ballard, H. Li, F. Panahi, H. Zhang, J. Naughton, S. Prasad, G. Krishnan, R. Deep, V. Raghavendra
VLDB'16 (extended version)
- Magellan: Toward Building Entity Matching Management Systems over Data Science Stacks
P. Konda, S. Das, P. Suganthan G.C., A. Doan, A. Ardalan, J. R. Ballard, H. Li, F. Panahi, H. Zhang, J. Naughton, S. Prasad, G. Krishnan, R. Deep, V. Raghavendra
VLDB'16 Demo Paper
- Social Media Analytics: The Kosmix Story
X. Chai, O. Deshpande, N. Garera, A. Gattani, W. Lam, D. S. Lamba, L. Liu, M. Tiwari, M. Tourn, Z. Vacheri, S. Prasad, S. Subramaniam, V. Harinarayan, A. Rajaraman, A. Ardalan, S. Das, P. S. G. C., and A. Doan
IEEE Data Eng. Bull., 36(3):4-12, 2013
Contact
Buschman Lab
Princeton Neuroscience Institute
<first>[dot]<last>[at]princeton[dot]edu