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ORCIDPrakash Mandayam Comar
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2020 – today
- 2024
[c18]Deepanshu Pandey, Arindam Sarkar, Prakash Mandayam Comar:
GLAD: Graph-Based Long-Term Attentive Dynamic Memory for Sequential Recommendation. ECIR (3) 2024: 72-88- [c17]Akshay Jagatap
, Srujana Merugu, Prakash Mandayam Comar:
Improving Search for New Product Categories via Synthetic Query Generation Strategies. WWW (Companion Volume) 2024: 29-37 - 2023
- [c16]Nikki Gupta, Prakash Mandayam Comar:
Quantifying customer interactions on ML optimized page layouts. ASONAM 2023: 502-508 - [c15]Shreyas S, Prakash Mandayam Comar, Sivaramakrishnan Kaveri:
Adversarial Density Ratio Estimation for Change Point Detection. CIKM 2023: 4254-4258 - [c14]Gayatri Ryali, Shreyas S, Sivaramakrishnan Kaveri, Prakash Mandayam Comar:
TrendSpotter: Forecasting E-commerce Product Trends. CIKM 2023: 4808-4814 - [c13]Akshay Jagatap, Nikki Gupta, Sachin Farfade, Prakash Mandayam Comar:
AttriBERT - Session-based Product Attribute Recommendation with BERT. SIGIR 2023: 3421-3425 - [c12]Sonali Singh, Sachin Farfade, Prakash Mandayam Comar:
Multi-Objective Ranking to Boost Navigational Suggestions in eCommerce AutoComplete. WWW (Companion Volume) 2023: 469-474 - 2022
- [c11]Arindam Sarkar, Dipankar Das, Vivek Sembium, Prakash Mandayam Comar:
Dual Attentional Higher Order Factorization Machines. RecSys 2022: 378-388
2010 – 2019
- 2017
- [c10]Prakash Mandayam Comar, Srinivasan H. Sengamedu:
Intent Based Relevance Estimation from Click Logs. CIKM 2017: 59-66 - 2016
- [c9]Ding Wang, Prakash Mandayam Comar, Pang-Ning Tan:
Crowdsourcing of network data. IJCNN 2016: 2204-2211 - 2013
- [c8]Tianbao Yang, Prakash Mandayam Comar, Linli Xu:
Community detection by popularity based models for authored networked data. ASONAM 2013: 74-81 - [c7]Prakash Mandayam Comar, Lei Liu, Sabyasachi Saha, Pang-Ning Tan, Antonio Nucci:
Combining supervised and unsupervised learning for zero-day malware detection. INFOCOM 2013: 2022-2030 - [c6]Lei Liu, Prakash Mandayam Comar, Antonio Nucci, Sabyasachi Saha, Pang-Ning Tan:
Missing or Inapplicable: Treatment of Incomplete Continuous-valued Features in Supervised Learning. SDM 2013: 46-54 - 2012
- [j2]Prakash Mandayam Comar, Pang-Ning Tan, Anil K. Jain:
Simultaneous classification and community detection on heterogeneous network data. Data Min. Knowl. Discov. 25(3): 420-449 (2012) - [j1]Prakash Mandayam Comar, Pang-Ning Tan, Anil K. Jain:
A framework for joint community detection across multiple related networks. Neurocomputing 76(1): 93-104 (2012) - [c5]Prakash Mandayam Comar, Lei Liu, Sabyasachi Saha, Antonio Nucci, Pang-Ning Tan:
Weighted linear kernel with tree transformed features for malware detection. CIKM 2012: 2287-2290 - [c4]Lei Liu, Prakash Mandayam Comar, Sabyasachi Saha, Pang-Ning Tan, Antonio Nucci:
Recursive NMF: Efficient label tree learning for large multi-class problems. ICPR 2012: 2148-2151 - 2011
- [c3]Prakash Mandayam Comar, Pang-Ning Tan, Anil K. Jain:
LinkBoost: A Novel Cost-Sensitive Boosting Framework for Community-Level Network Link Prediction. ICDM 2011: 131-140 - 2010
- [c2]Prakash Mandayam Comar, Pang-Ning Tan, Anil Kumar Jain:
Multi task learning on multiple related networks. CIKM 2010: 1737-1740 - [c1]Prakash Mandayam Comar, Pang-Ning Tan, Anil Kumar Jain:
Identifying Cohesive Subgroups and Their Correspondences in Multiple Related Networks. Web Intelligence 2010: 476-483
Coauthor Index
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