Vineet Chaoji

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 13

Top Topics

Tensor Decomposition

Demand Forecasting

Top Venues

Proc. VLDB Endow.

Publications

Sachin Farfade, Sachin Vernekar, Vineet Chaoji, Rajdeep Mukherjee
Scaling Use-case Based Shopping using LLMs. WSDM (2024)
Samik Datta, Anshuman Mourya, Anirban Majumder, Vineet Chaoji
Modelling Delayed Redemption with Importance Sampling and Pre-Redemption Engagement. KDD (2023)
Vinayak Puranik, Anirban Majumder, Vineet Chaoji
PROTEGE: Prompt-based Diverse Question Generation from Web Articles. EMNLP (Findings) (2023)
Abhirup Mondal, Anirban Majumder, Vineet Chaoji
MEMENTO: Neural Model for Estimating Individual Treatment Effects for Multiple Treatments. CIKM (2022)
Abhirup Mondal, Anirban Majumder, Vineet Chaoji
ASPIRE: Air Shipping Recommendation for E-commerce Products via Causal Inference Framework. KDD (2022)
Ankit Gandhi, Aakanksha, Sivaramakrishnan Kaveri, Vineet Chaoji
Spatio-Temporal Multi-graph Networks for Demand Forecasting in Online Marketplaces. ECML/PKDD (4) (2021)
Karthik S. Gurumoorthy, Subhajit Sanyal, Vineet Chaoji
Think out of the package: Recommending package types for e-commerce shipments. CoRR (2020)
Karthik S. Gurumoorthy, Subhajit Sanyal, Vineet Chaoji
Think Out of the Package: Recommending Package Types for E-Commerce Shipments. ECML/PKDD (5) (2020)
Anil R. Yelundur, Vineet Chaoji, Bamdev Mishra
Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition. CoRR (2019)
Anil R. Yelundur, Vineet Chaoji, Bamdev Mishra
Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition. KDD (2019)
Saurabh Sohoney, Nikita Prabhu, Vineet Chaoji
Handling Confounding for Realistic Off-Policy Evaluation. WWW (Companion Volume) (2018)
Srikar Appalaraju, Vineet Chaoji
Image similarity using Deep CNN and Curriculum Learning. CoRR (2017)
Vineet Chaoji, Rajeev Rastogi, Gourav Roy
Machine Learning in the Real World. Proc. VLDB Endow. 9 (13) (2016)
Hilmi Yildirim, Vineet Chaoji, Mohammed J. Zaki
DAGGER: A Scalable Index for Reachability Queries in Large Dynamic Graphs CoRR (2013)
Nagarajan Natarajan, Prithviraj Sen, Vineet Chaoji
Community detection in content-sharing social networks. ASONAM (2013)
Hilmi Yildirim, Vineet Chaoji, Mohammed J. Zaki
GRAIL: a scalable index for reachability queries in very large graphs. VLDB J. 21 (4) (2012)
Medha Atre, Vineet Chaoji, Mohammed J. Zaki
BitPath -- Label Order Constrained Reachability Queries over Large Graphs CoRR (2012)
Vineet Chaoji, Sayan Ranu, Rajeev Rastogi, Rushi Bhatt
Recommendations to boost content spread in social networks. WWW (2012)
Vineet Chaoji, Geng Li, Hilmi Yildirim, Mohammed Javeed Zaki
ABACUS: Mining Arbitrary Shaped Clusters from Large Datasets based on Backbone Identification. SDM (2011)
Hilmi Yildirim, Vineet Chaoji, Mohammed Javeed Zaki
GRAIL: Scalable Reachability Index for Large Graphs. Proc. VLDB Endow. 3 (1) (2010)
Ashish Mangalampalli, Vineet Chaoji, Subhajit Sanyal
I-FAC: Efficient Fuzzy Associative Classifier for Object Classes in Images. ICPR (2010)
Vineet Chaoji, Apirak Hoonlor, Boleslaw K. Szymanski
Recursive data mining for role identification in electronic communications. Int. J. Hybrid Intell. Syst. 7 (2) (2010)
Rushi Bhatt, Vineet Chaoji, Rajesh Parekh
Predicting product adoption in large-scale social networks. CIKM (2010)
Medha Atre, Vineet Chaoji, Mohammed J. Zaki, James A. Hendler
Matrix "Bit" loaded: a scalable lightweight join query processor for RDF data. WWW (2010)
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) (2009)
Mohammad Al Hasan, Vineet Chaoji, Saeed Salem, Mohammed J. Zaki
Robust partitional clustering by outlier and density insensitive seeding. Pattern Recognit. Lett. 30 (11) (2009)
Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, Mohammed J. Zaki
SPARCL: Efficient and Effective Shape-Based Clustering. ICDM (2008)
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) (2008)
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) (2008)
Vineet Chaoji, Apirak Hoonlor, Boleslaw K. Szymanski
Recursive data mining for role identification. CSTST (2008)
Mohammad Al Hasan, Vineet Chaoji, Saeed Salem, Jérémy Besson, Mohammed Javeed Zaki
ORIGAMI: Mining Representative Orthogonal Graph Patterns. ICDM (2007)
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)
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)
Roger S. Gaborski, Vishal S. Vaingankar, Vineet Chaoji, Ankur Teredesai
VENUS: A System for Novelty Detection in Video Streams with Learning. FLAIRS Conference (2004)
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)