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Prakash Mandayam Comar

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2020 – today

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2024
[c19]
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  - conf/ecir/PandeySC24
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Deepanshu Pandey, Arindam Sarkar, Prakash Mandayam Comar:
GLAD: Graph-Based Long-Term Attentive Dynamic Memory for Sequential Recommendation. ECIR (3) 2024: 72-88
[c18]
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Sonali Singh, Sachin Farfade, Prakash Mandayam Comar:
DiAL : Diversity Aware Listwise Ranking for Query Auto-Complete. EMNLP (Industry Track) 2024: 1152-1162
[c17]
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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]
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Nikki Gupta, Prakash Mandayam Comar:
Quantifying customer interactions on ML optimized page layouts. ASONAM 2023: 502-508
[c15]
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Shreyas S, Prakash Mandayam Comar, Sivaramakrishnan Kaveri:
Adversarial Density Ratio Estimation for Change Point Detection. CIKM 2023: 4254-4258
[c14]
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Gayatri Ryali, Shreyas S, Sivaramakrishnan Kaveri, Prakash Mandayam Comar:
TrendSpotter: Forecasting E-commerce Product Trends. CIKM 2023: 4808-4814
[c13]
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Akshay Jagatap, Nikki Gupta, Sachin Farfade, Prakash Mandayam Comar:
AttriBERT - Session-based Product Attribute Recommendation with BERT. SIGIR 2023: 3421-3425
[c12]
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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]
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  - conf/recsys/SarkarDSC22
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Arindam Sarkar, Dipankar Das, Vivek Sembium, Prakash Mandayam Comar:
Dual Attentional Higher Order Factorization Machines. RecSys 2022: 378-388

2010 – 2019

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2017
[c10]
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Prakash Mandayam Comar, Srinivasan H. Sengamedu:
Intent Based Relevance Estimation from Click Logs. CIKM 2017: 59-66
2016
[c9]
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  - conf/ijcnn/WangCT16
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Ding Wang, Prakash Mandayam Comar, Pang-Ning Tan:
Crowdsourcing of network data. IJCNN 2016: 2204-2211
2013
[c8]
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Tianbao Yang, Prakash Mandayam Comar, Linli Xu:
Community detection by popularity based models for authored networked data. ASONAM 2013: 74-81
[c7]
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  - conf/infocom/ComarLSTN13
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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]
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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]
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  - journals/datamine/ComarTJ12
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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)
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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]
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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]
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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]
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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]
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Prakash Mandayam Comar, Pang-Ning Tan, Anil Kumar Jain:
Multi task learning on multiple related networks. CIKM 2010: 1737-1740
[c1]
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  - conf/webi/ComarTJ10
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Prakash Mandayam Comar, Pang-Ning Tan, Anil Kumar Jain:
Identifying Cohesive Subgroups and Their Correspondences in Multiple Related Networks. Web Intelligence 2010: 476-483

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