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Vineet Chaoji

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2020 – today

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2024
[c22]
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  - conf/wsdm/FarfadeVCM24
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Sachin Farfade, Sachin Vernekar, Vineet Chaoji, Rajdeep Mukherjee:
Scaling Use-case Based Shopping using LLMs. WSDM 2024: 1165-1166
2023
[c21]
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  - conf/emnlp/PuranikMC23
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Vinayak Puranik, Anirban Majumder, Vineet Chaoji:
PROTEGE: Prompt-based Diverse Question Generation from Web Articles. EMNLP (Findings) 2023: 5449-5463
[c20]
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  - conf/kdd/DattaMMC23
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Samik Datta, Anshuman Mourya, Anirban Majumder, Vineet Chaoji:
Modelling Delayed Redemption with Importance Sampling and Pre-Redemption Engagement. KDD 2023: 3926-3936
2022
[c19]
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Abhirup Mondal, Anirban Majumder, Vineet Chaoji:
MEMENTO: Neural Model for Estimating Individual Treatment Effects for Multiple Treatments. CIKM 2022: 3381-3390
[c18]
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Abhirup Mondal, Anirban Majumder, Vineet Chaoji:
ASPIRE: Air Shipping Recommendation for E-commerce Products via Causal Inference Framework. KDD 2022: 3584-3592
2021
[c17]
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Ankit Gandhi, Aakanksha, Sivaramakrishnan Kaveri, Vineet Chaoji:
Spatio-Temporal Multi-graph Networks for Demand Forecasting in Online Marketplaces. ECML/PKDD (4) 2021: 187-203
2020
[c16]
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  - conf/pkdd/GurumoorthySC20
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Karthik S. Gurumoorthy, Subhajit Sanyal, Vineet Chaoji:
Think Out of the Package: Recommending Package Types for E-Commerce Shipments. ECML/PKDD (5) 2020: 290-305
[i5]
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  - journals/corr/abs-2006-03239
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Karthik S. Gurumoorthy, Subhajit Sanyal, Vineet Chaoji:
Think out of the package: Recommending package types for e-commerce shipments. CoRR abs/2006.03239 (2020)

2010 – 2019

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2019
[c15]
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Anil R. Yelundur, Vineet Chaoji, Bamdev Mishra:
Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition. KDD 2019: 2134-2144
[i4]
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  - journals/corr/abs-1905-06246
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Anil R. Yelundur, Vineet Chaoji, Bamdev Mishra:
Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition. CoRR abs/1905.06246 (2019)
2018
[c14]
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  - conf/www/SohoneyPC18
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Saurabh Sohoney, Nikita Prabhu, Vineet Chaoji:
Handling Confounding for Realistic Off-Policy Evaluation. WWW (Companion Volume) 2018: 33-34
2017
[i3]
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  - journals/corr/abs-1709-08761
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Srikar Appalaraju, Vineet Chaoji:
Image similarity using Deep CNN and Curriculum Learning. CoRR abs/1709.08761 (2017)
2016
[j8]
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  - journals/pvldb/ChaojiRR16
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Vineet Chaoji, Rajeev Rastogi, Gourav Roy:
Machine Learning in the Real World. Proc. VLDB Endow. 9(13): 1597-1600 (2016)
2013
[c13]
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  - conf/asunam/NatarajanSC13
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Nagarajan Natarajan, Prithviraj Sen, Vineet Chaoji:
Community detection in content-sharing social networks. ASONAM 2013: 82-89
[i2]
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  - journals/corr/abs-1301-0977
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Hilmi Yildirim, Vineet Chaoji, Mohammed J. Zaki:
DAGGER: A Scalable Index for Reachability Queries in Large Dynamic Graphs. CoRR abs/1301.0977 (2013)
2012
[j7]
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  - journals/vldb/YildirimCZ12
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Hilmi Yildirim, Vineet Chaoji, Mohammed J. Zaki:
GRAIL: a scalable index for reachability queries in very large graphs. VLDB J. 21(4): 509-534 (2012)
[c12]
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  - conf/www/ChaojiRRB12
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Vineet Chaoji, Sayan Ranu, Rajeev Rastogi, Rushi Bhatt:
Recommendations to boost content spread in social networks. WWW 2012: 529-538
[i1]
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  - journals/corr/abs-1203-2886
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Medha Atre, Vineet Chaoji, Mohammed J. Zaki:
BitPath -- Label Order Constrained Reachability Queries over Large Graphs. CoRR abs/1203.2886 (2012)
2011
[c11]
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  - conf/sdm/ChaojiLYZ11
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Vineet Chaoji, Geng Li, Hilmi Yildirim, Mohammed Javeed Zaki:
ABACUS: Mining Arbitrary Shaped Clusters from Large Datasets based on Backbone Identification. SDM 2011: 295-306
2010
[j6]
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  - journals/ijhis/ChaojiHS10
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Vineet Chaoji, Apirak Hoonlor, Boleslaw K. Szymanski:
Recursive data mining for role identification in electronic communications. Int. J. Hybrid Intell. Syst. 7(2): 89-100 (2010)
[j5]
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Hilmi Yildirim, Vineet Chaoji, Mohammed Javeed Zaki:
GRAIL: Scalable Reachability Index for Large Graphs. Proc. VLDB Endow. 3(1): 276-284 (2010)
[c10]
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  - conf/cikm/BhattCP10
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Rushi Bhatt, Vineet Chaoji, Rajesh Parekh:
Predicting product adoption in large-scale social networks. CIKM 2010: 1039-1048
[c9]
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  - conf/icpr/MangalampalliCS10
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Ashish Mangalampalli, Vineet Chaoji, Subhajit Sanyal:
I-FAC: Efficient Fuzzy Associative Classifier for Object Classes in Images. ICPR 2010: 4388-4391
[c8]
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  - conf/www/AtreCZH10
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Medha Atre, Vineet Chaoji, Mohammed J. Zaki, James A. Hendler:
Matrix "Bit" loaded: a scalable lightweight join query processor for RDF data. WWW 2010: 41-50
[p1]
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  - reference/social/BagherjeiranBPC10
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Abraham Bagherjeiran, Rushi Bhatt, Rajesh Parekh, Vineet Chaoji:
Online Advertising in Social Networks. Handbook of Social Network Technologies 2010: 651-689

2000 – 2009

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2009
[b1]
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Vineet Chaoji:
Efficient algorithms for mining arbitrary shaped clusters. Rensselaer Polytechnic Institute, USA, 2009
[j4]
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  - journals/kais/ChaojiHSZ09
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Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, Mohammed J. Zaki:
SPARCL: an effective and efficient algorithm for mining arbitrary shape-based clusters. Knowl. Inf. Syst. 21(2): 201-229 (2009)
[j3]
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  - journals/prl/HasanCSZ09
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Mohammad Al Hasan, Vineet Chaoji, Saeed Salem, Mohammed J. Zaki:
Robust partitional clustering by outlier and density insensitive seeding. Pattern Recognit. Lett. 30(11): 994-1002 (2009)
2008
[j2]
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  - journals/datamine/ChaojiHSZ08
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Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, Mohammed Javeed Zaki:
An integrated, generic approach to pattern mining: data mining template library. Data Min. Knowl. Discov. 17(3): 457-495 (2008)
[j1]
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Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, Jérémy Besson, Mohammed J. Zaki:
ORIGAMI: A Novel and Effective Approach for Mining Representative Orthogonal Graph Patterns. Stat. Anal. Data Min. 1(2): 67-84 (2008)
[c7]
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Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, Mohammed J. Zaki:
SPARCL: Efficient and Effective Shape-Based Clustering. ICDM 2008: 93-102
[c6]
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Vineet Chaoji, Apirak Hoonlor, Boleslaw K. Szymanski:
Recursive data mining for role identification. CSTST 2008: 218-225
2007
[c5]
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  - conf/icdm/HasanCSBZ07
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Mohammad Al Hasan, Vineet Chaoji, Saeed Salem, Jérémy Besson, Mohammed Javeed Zaki:
ORIGAMI: Mining Representative Orthogonal Graph Patterns. ICDM 2007: 153-162
2005
[c4]
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  - conf/icfca/ZakiPDGPUCHS05
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Mohammed Javeed Zaki, Nagender Parimi, Nilanjana De, Feng Gao, Benjarath Phoophakdee, Joe Urban, Vineet Chaoji, Mohammad Al Hasan, Saeed Salem:
Towards Generic Pattern Mining. ICFCA 2005: 1-20
[c3]
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  - conf/premi/ZakiDGPPCHS05
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Mohammed Javeed Zaki, Nilanjana De, Feng Gao, Nagender Parimi, Benjarath Phoophakdee, Joe Urban, Vineet Chaoji, Mohammad Al Hasan, Saeed Salem:
Towards Generic Pattern Mining. PReMI 2005: 91-97
2004
[c2]
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  - conf/flairs/GaborskiVCT04
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Roger S. Gaborski, Vishal S. Vaingankar, Vineet Chaoji, Ankur Teredesai:
VENUS: A System for Novelty Detection in Video Streams with Learning. FLAIRS 2004: 232-238
[c1]
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Roger S. Gaborski, Vishal S. Vaingankar, Vineet Chaoji, Ankur Teredesai, Aleksey Tentler:
Detection of inconsistent regions in video streams. Human Vision and Electronic Imaging 2004: 202-210

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