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2010 – today
- 2018
[c41]Vishwanath D, Lovekesh Vig, Gautam Shroff, Puneet Agarwal:
MEETING BOT: Reinforcement Learning for Dialogue Based Meeting Scheduling. AAAI Workshops 2018: 699-705- [c40]Mayur Patidar, Puneet Agarwal, Lovekesh Vig, Gautam Shroff:
Automatic Conversational Helpdesk Solution using Seq2Seq and Slot-filling Models. CIKM 2018: 1967-1975 - [c39]Sakti Saurav, Pankaj Malhotra, Vishnu TV, Narendhar Gugulothu, Lovekesh Vig, Puneet Agarwal, Gautam Shroff:
Online anomaly detection with concept drift adaptation using recurrent neural networks. COMAD/CODS 2018: 78-87 - [c38]Sarmimala Saikia, Richa Verma, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan:
Evolutionary RL for Container Loading. ESANN 2018 - [c37]Mahesh P. Singh, Puneet Agarwal, Ashish Chaudhary, Gautam Shroff, Prerna Khurana, Mayur Patidar, Vivek Bisht, Rachit Bansal, Prateek Sachan, Rohit Kumar:
KNADIA: Enterprise KNowledge Assisted DIAlogue Systems Using Deep Learning. ICDE 2018: 1423-1434 - [c36]Prerna Khurana, Puneet Agarwal, Gautam Shroff, Lovekesh Vig:
Resolving Abstract Anaphora Implicitly in Conversational Assistants using a Hierarchically stacked RNN. KDD 2018: 433-442 - [i17]Sarmimala Saikia, Richa Verma, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan:
Evolutionary RL for Container Loading. CoRR abs/1805.06664 (2018) - 2017
- [c35]Prerna Khurana, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan:
Hybrid BiLSTM-Siamese network for FAQ Assistance. CIKM 2017: 537-545 - [c34]Pankaj Malhotra, Vishnu TV, Lovekesh Vig, Puneet Agarwal, Gautam Shroff:
TimeNet: Pre-trained deep recurrent neural network for time series classification. ESANN 2017 - [c33]Karamjit Singh, Garima Gupta, Gautam Shroff, Puneet Agarwal:
Automated Product-Attribute Mapping. PAKDD (Workshops) 2017: 163-175 - [i16]Karamjit Singh, Garima Gupta, Lovekesh Vig, Gautam Shroff, Puneet Agarwal:
Deep Convolutional Neural Networks for Pairwise Causality. CoRR abs/1701.00597 (2017) - [i15]Karamjit Singh, Garima Gupta, Gautam Shroff, Puneet Agarwal:
Minimally-Supervised Attribute Fusion for Data Lakes. CoRR abs/1701.01094 (2017) - [i14]Pankaj Malhotra, Vishnu TV, Lovekesh Vig, Puneet Agarwal, Gautam Shroff:
TimeNet: Pre-trained deep recurrent neural network for time series classification. CoRR abs/1706.08838 (2017) - [i13]Narendhar Gugulothu, Vishnu TV, Pankaj Malhotra, Lovekesh Vig, Puneet Agarwal, Gautam Shroff:
Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks. CoRR abs/1709.01073 (2017) - 2016
- [c32]Karamjit Singh, Kaushal Paneri, Aditeya Pandey, Garima Gupta, Geetika Sharma, Puneet Agarwal, Gautam Shroff:
Visual Bayesian fusion to navigate a data lake. FUSION 2016: 987-994 - [c31]Mayur Patidar, Shaurya Rohatgi, Ashish Chaudhary, Mahesh P. Singh, Puneet Agarwal, Gautam Shroff:
Activity Detection from Email Meta-Data Clustering. ICDM Workshops 2016: 568-575 - [c30]Sarmimala Saikia, Lovekesh Vig, Ashwin Srinivasan, Gautam Shroff, Puneet Agarwal, Richa Rawat:
Neuro-Symbolic EDA-Based Optimization Using ILP-Enhanced DBNs. CoCo@NIPS 2016 - [c29]Auon Haidar Kazmi, Gautam Shroff, Puneet Agarwal:
Generic Framework to Predict Repeat Behavior of Customers Using Their Transaction History. WI 2016: 449-452 - [i12]Puneet Agarwal, Maya Ramanath, Gautam Shroff:
Relationship Queries on Large graphs using Pregel. CoRR abs/1605.00060 (2016) - [i11]Pankaj Malhotra, Anusha Ramakrishnan, Gaurangi Anand, Lovekesh Vig, Puneet Agarwal, Gautam Shroff:
LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection. CoRR abs/1607.00148 (2016) - [i10]Ashwin Srinivasan, Gautam Shroff, Lovekesh Vig, Sarmimala Saikia, Puneet Agarwal:
Generation of Near-Optimal Solutions Using ILP-Guided Sampling. CoRR abs/1608.01093 (2016) - [i9]Pankaj Malhotra, Vishnu TV, Anusha Ramakrishnan, Gaurangi Anand, Lovekesh Vig, Puneet Agarwal, Gautam Shroff:
Multi-Sensor Prognostics using an Unsupervised Health Index based on LSTM Encoder-Decoder. CoRR abs/1608.06154 (2016) - [i8]Sarmimala Saikia, Lovekesh Vig, Ashwin Srinivasan, Gautam Shroff, Puneet Agarwal, Richa Rawat:
Neuro-symbolic EDA-based Optimisation using ILP-enhanced DBNs. CoRR abs/1612.06528 (2016) - 2015
- [c28]Puneet Agarwal, Maya Ramanath, Gautam Shroff:
Distributed Algorithm for Relationship Queries on Large Graphs. LSDS-IR@CIKM 2015: 9-12 - [c27]Ehtesham Hassan, Gautam Shroff, Puneet Agarwal:
Multi-sensor event detection using shape histograms. CODS 2015: 20-29 - [c26]Puneet Agarwal, Gautam Shroff, Sarmimala Saikia, Zaigham Khan:
Efficiently discovering frequent motifs in large-scale sensor data. CODS 2015: 98-103 - [c25]Sarmimala Saikia, Gautam Shroff, Puneet Agarwal, Ashwin Srinivasan:
Succinctly summarizing machine usage via multi-subspace clustering of multi-sensor data. DSAA 2015: 1-10 - [c24]Karamjit Singh, Gautam Shroff, Puneet Agarwal:
Predictive reliability mining for early warnings in populations of connected machines. DSAA 2015: 1-10 - [c23]Pankaj Malhotra, Lovekesh Vig, Gautam Shroff, Puneet Agarwal:
Long Short Term Memory Networks for Anomaly Detection in Time Series. ESANN 2015 - [c22]Surya Yadav, Gautam Shroff, Ehtesham Hassan, Puneet Agarwal:
Business data fusion. FUSION 2015: 1876-1885 - [c21]Geetika Sharma, Gautam Shroff, Aditeya Pandey, Brijendra Singh, Gunjan Sehgal, Kaushal Paneri, Puneet Agarwal:
Multi-sensor Visual Analytics Supported by Machine-Learning Models. ICDM Workshops 2015: 668-674 - [i7]Puneet Agarwal, Gautam Shroff, Sarmimala Saikia, Zaigham Khan:
Efficiently Discovering Frequent Motifs in Large-scale Sensor Data. CoRR abs/1501.00405 (2015) - 2014
- [c20]Sarmimala Saikia, Gautam Shroff, Puneet Agarwal, Ashwin Srinivasan, Aditeya Pandey, Gaurangi Anand:
Exploratory Data Analysis Using Alternating Covers of Rules and Exceptions. COMAD 2014: 105-108 - [c19]Pankaj Malhotra, Puneet Agarwal, Gautam Shroff:
Graph-Parallel Entity Resolution using LSH & IMM. EDBT/ICDT Workshops 2014: 41-49 - [c18]Pankaj Malhotra, Puneet Agarwal, Gautam Shroff:
Incremental entity fusion from linked documents. FUSION 2014: 1-8 - [c17]Gautam Shroff, Puneet Agarwal, Karamjit Singh, Auon Haidar Kazmi, Sapan Shah, Avadhut Sardeshmukh:
Prescriptive information fusion. FUSION 2014: 1-8 - [c16]Geetika Sharma, Gautam Shroff, Aditeya Pandey, Puneet Agarwal, Ashwin Srinivasan:
Interactively Visualizing Summaries of Rules and Exceptions. EuroVA@EuroVis 2014 - [i6]Pankaj Malhotra, Puneet Agarwal, Gautam Shroff:
Incremental Entity Resolution from Linked Documents. CoRR abs/1402.4417 (2014) - [i5]Ehtesham Hassan, Gautam Shroff, Puneet Agarwal:
Multi-Sensor Event Detection using Shape Histograms. CoRR abs/1408.3733 (2014) - [i4]Karamjit Singh, Puneet Agarwal, Gautam Shroff:
Warranty Cost Estimation Using Bayesian Network. CoRR abs/1411.3197 (2014) - [i3]Donald E. Eastlake III, Mingui Zhang, Puneet Agarwal, Radia J. Perlman, Dinesh G. Dutt:
Transparent Interconnection of Lots of Links (TRILL): Fine-Grained Labeling. RFC 7172: 1-27 (2014) - [i2]Mallik Mahalingam, Dinesh G. Dutt, Kenneth Duda, Puneet Agarwal, Lawrence Kreeger, T. Sridhar, Mike Bursell, Chris Wright:
Virtual eXtensible Local Area Network (VXLAN): A Framework for Overlaying Virtualized Layer 2 Networks over Layer 3 Networks. RFC 7348: 1-22 (2014) - 2013
- [c15]Puneet Agarwal, Gautam Shroff, Pankaj Malhotra:
Approximate Incremental Big-Data Harmonization. BigData Congress 2013: 118-125 - 2012
- [c14]Puneet Agarwal, Rajgopal Vaithiyanathan, Saurabh Sharma, Gautam Shroff:
Catching the Long-Tail: Extracting Local News Events from Twitter. ICWSM 2012 - [c13]S. Rajasekar, Rajesh Gupta, Anurag Upadhyay, Puneet Agarwal, Sudhir Kumar, Y. Shasi Kumar:
Modified hill-top algorithm based maximum power point tracking for solar PV module. ISIE 2012: 1801-1806 - 2011
- [c12]Gautam Shroff, Puneet Agarwal, Lipika Dey:
Enterprise information fusion for real-time business intelligence. FUSION 2011: 1-8 - [c11]Gautam Shroff, Saurabh Sharma, Puneet Agarwal, Shefali Bhat:
A blackboard architecture for data-intensive information fusion using locality-sensitive hashing. FUSION 2011: 1-8 - [c10]
- 2010
- [c9]Prasun Dewan, Puneet Agarwal, Gautam Shroff, Rajesh Hegde:
Mixed-focus collaboration without compromising individual or group work. EICS 2010: 225-234
2000 – 2009
- 2009
- [c8]Prasun Dewan, Puneet Agarwal, Gautam Shroff, Rajesh Hegde:
Experiments in distributed side-by-side software development. CollaborateCom 2009: 1-10 - [c7]Prasun Dewan, Puneet Agarwal, Gautam Shroff, Rajesh Hegde:
Distributed side-by-side programming. CHASE 2009: 48-55 - [c6]Gautam Shroff, Puneet Agarwal, Premkumar T. Devanbu:
InstantApps: A WYSIWYG model driven interpreter for web applications. ICSE Companion 2009: 417-418 - [c5]Gautam Shroff, Puneet Agarwal, Premkumar T. Devanbu:
Instant multi-tier web applications without tears. ISEC 2009: 3-12 - 2005
- [c4]Gautam Shroff, Anish Mehta, Puneet Agarwal, Rajesh Sinha:
Collaborative development of business applications. CollaborateCom 2005 - [c3]Abhiram Gandhe, Puneet Agarwal, Gautam Shroff:
JfelX: A Dynamic Model Driven Architecture. Software Engineering Research and Practice 2005: 382-388 - 2004
- [j1]Dheeraj Sanghi, Pankaj Jalote, Puneet Agarwal, Nitin Jain, Supriyo Bose:
A testbed for performance evaluation of load-balancing strategies for Web server systems. Softw., Pract. Exper. 34(4): 339-353 (2004) - 2003
- [i1]Puneet Agarwal, Bora A. Akyol:
Time To Live (TTL) Processing in Multi-Protocol Label Switching (MPLS) Networks. RFC 3443: 1-10 (2003) - 2002
- [c2]Dheeraj Sanghi, Pankaj Jalote, Puneet Agarwal:
Using Proximity Information for Load Balancing in Geographically Distributed Web Server Systems. EurAsia-ICT 2002: 659-666 - [c1]Dheeraj Sanghi, Pankaj Jalote, Puneet Agarwal:
A Testbed for Performance Evaluation of Load Balancing Schemes for Web Server Systems. ICWI 2002: 239-246
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