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2020 – today
- 2024
[c80]Vani Sancheti, Lini T. Thomas, Vikram Pudi:
PMCS: Partition-Based Maximal Frequent Subgraph Mining Using MCS. COMPSAC 2024: 159-168- 2023
- [c79]Sri Sanketh Uppalapati
, Vishal Garg, Vikram Pudi, Jyotirmay Mathur, Rajat Gupta, Aviruch Bhatia:
A Novel Approach for Climate Classification Using Agglomerative Hierarchical Clustering. EI.A 2023: 152-167 - 2022
- [c78]Swayatta Daw, Vikram Pudi:
Extraction of Competing Models using Distant Supervision and Graph Ranking. SDU@AAAI 2022 - [c77]Swayatta Daw, Vikram Pudi:
Long Tailed Entity Extraction of Model Names using Distant Supervision. BIR@ECIR 2022: 28-38 - [c76]Amit Pandey, Avani Gupta, Vikram Pudi:
CitRet: A Hybrid Model for Cited Text Span Retrieval. COLING 2022: 4528-4536 - [c75]Vivek Kumar, Rishabh Maheshwary, Vikram Pudi:
Practice Makes a Solver Perfect: Data Augmentation for Math Word Problem Solvers. NAACL-HLT 2022: 4194-4206 - [c74]Amit Pandey, Swayatta Daw, Narendra Babu Unnam, Vikram Pudi:
Multilinguals at SemEval-2022 Task 11: Complex NER in Semantically Ambiguous Settings for Low Resource Languages. SemEval@NAACL 2022: 1469-1476 - [c73]Amit Pandey, Swayatta Daw, Vikram Pudi:
Multilinguals at SemEval-2022 Task 11: Transformer Based Architecture for Complex NER. SemEval@NAACL 2022: 1623-1629 - [i11]Amit Pandey, Swayatta Daw, Vikram Pudi:
Multilinguals at SemEval-2022 Task 11: Transformer Based Architecture for Complex NER. CoRR abs/2204.02173 (2022) - [i10]Vivek Kumar, Rishabh Maheshwary, Vikram Pudi:
Practice Makes a Solver Perfect: Data Augmentation for Math Word Problem Solvers. CoRR abs/2205.00177 (2022) - [i9]Amit Pandey, Swayatta Daw, Narendra Babu Unnam, Vikram Pudi:
Multilinguals at SemEval-2022 Task 11: Complex NER in Semantically Ambiguous Settings for Low Resource Languages. CoRR abs/2207.06882 (2022) - [i8]Suba S, Nita Parekh, Ramesh Loganathan, Vikram Pudi, Chinnababu Sunkavalli:
Evaluating Generalizability of Deep Learning Models Using Indian-COVID-19 CT Dataset. CoRR abs/2212.13929 (2022) - 2021
- [c72]Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi:
Generating Natural Language Attacks in a Hard Label Black Box Setting. AAAI 2021: 13525-13533 - [c71]Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi:
A Context Aware Approach for Generating Natural Language Attacks. AAAI 2021: 15839-15840 - [c70]Vivek Kumar, Rishabh Maheshwary, Vikram Pudi:
Adversarial Examples for Evaluating Math Word Problem Solvers. EMNLP (Findings) 2021: 2705-2712 - [c69]Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi:
A Strong Baseline for Query Efficient Attacks in a Black Box Setting. EMNLP (1) 2021: 8396-8409 - [c68]Swayatta Daw, Shivprasad Sagare, Tushar Abhishek, Vikram Pudi, Vasudeva Varma:
Cross-lingual Alignment of Knowledge Graph Triples with Sentences. ICON 2021: 629-637 - [i7]Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi:
A Strong Baseline for Query Efficient Attacks in a Black Box Setting. CoRR abs/2109.04775 (2021) - [i6]Vivek Kumar, Rishabh Maheshwary, Vikram Pudi:
Adversarial Examples for Evaluating Math Word Problem Solvers. CoRR abs/2109.05925 (2021) - 2020
- [j7]Raghunath Reddy, Vishal Garg, Vikram Pudi:
A feature fusion technique for improved non-intrusive load monitoring. Energy Inform. 3(1) (2020) - [c67]Kritika Agrawal, Vikram Pudi:
Temporal Analysis of Scientific Literature to Find Grand Challenges and Saturated Problems. BIRDS@SIGIR 2020: 47-54 - [i5]Prazwal Chhabra, Rizwan Ali, Vikram Pudi:
CRICTRS: Embeddings based Statistical and Semi Supervised Cricket Team Recommendation System. CoRR abs/2010.15607 (2020) - [i4]Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi:
A Context Aware Approach for Generating Natural Language Attacks. CoRR abs/2012.13339 (2020) - [i3]Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi:
Generating Natural Language Attacks in a Hard Label Black Box Setting. CoRR abs/2012.14956 (2020)
2010 – 2019
- 2019
- [c66]Tejas Shah, Vikram Pudi:
Mining Intellectual Influence Associations. BIR@ECIR 2019: 100-111 - [c65]Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco, Vikram Pudi:
Sequential Variational Autoencoders for Collaborative Filtering. WSDM 2019: 600-608 - 2018
- [c64]Kartik Gupta, Noveen Sachdeva, Vikram Pudi:
Explicit Modelling of the Implicit Short Term User Preferences for Music Recommendation. ECIR 2018: 333-344 - [c63]Vamshi K. G. Reddy, Pratibha Rani, Vikram Pudi, Dipti Misra Sharma:
Decision Tree Ensemble for Parts-of-Speech Tagging of Resource-poor Languages. FIRE 2018: 41-47 - [c62]Sri Teja Allaparthi, Ganesh Yaparla, Vikram Pudi:
Sentiment and Semantic Deep Hierarchical Attention Neural Network for Fine Grained News Classification. ICBK 2018: 65-72 - [c61]Noveen Sachdeva, Kartik Gupta, Vikram Pudi:
Attentive neural architecture incorporating song features for music recommendation. RecSys 2018: 417-421 - [i2]Noveen Sachdeva, Kartik Gupta, Vikram Pudi:
Attentive Neural Architecture Incorporating Song Features For Music Recommendation. CoRR abs/1811.08203 (2018) - [i1]Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco, Vikram Pudi:
Sequential Variational Autoencoders for Collaborative Filtering. CoRR abs/1811.09975 (2018) - 2017
- [c60]Goutam Nair, Vikram Pudi:
WikiSeq: Mining Maximally Informative Simple Sequences from Wikipedia. AAAI Workshops 2017 - [c59]Vikram Pudi, Pratibha Rani, Abhijit Mitra, Indira Ghosh:
Computational Core for Plant Metabolomics: A Case for Interdisciplinary Research. BDA 2017: 223-234 - [c58]Soumyajit Ganguly, Vikram Pudi:
Paper2vec: Combining Graph and Text Information for Scientific Paper Representation. ECIR 2017: 383-395 - [c57]Raghunath Reddy, Niranjan Keesara, Vishal Garg, Vikram Pudi:
Plug Load Identification using Regression based Nearest Neighbor Classifier. e-Energy 2017: 101-110 - [c56]Ambika Kaul, Saket Maheshwary, Vikram Pudi:
AutoLearn - Automated Feature Generation and Selection. ICDM 2017: 217-226 - [c55]Allaparthi Sriteja, Prakhar Pandey, Vikram Pudi:
Controversy Detection Using Reactions on Social Media. ICDM Workshops 2017: 884-889 - [c54]Pratibha Rani, Vikram Pudi, Dipti Misra Sharma:
Semisupervied Data Driven Word Sense Disambiguation for Resource-poor Languages. ICON 2017: 503-512 - [c53]Prakhar Pandey, Vikram Pudi, Manish Shrivastava:
Injecting Word Embeddings with Another Language's Resource : An Application of Bilingual Embeddings. IJCNLP(2) 2017: 116-121 - [c52]Sasank Viswanadha, Kaustubh Sivalenka, Madan Gopal Jhawar, Vikram Pudi:
Dynamic Winner Prediction in Twenty20 Cricket: Based on Relative Team Strengths. MLSA@PKDD/ECML 2017: 41-50 - [c51]Madan Gopal Jhawar, Vikram Pudi:
Honest Mirror: Quantitative Assessment of Player Performance in an ODI Cricket Match. MLSA@PKDD/ECML 2017: 62-72 - 2016
- [j6]Pratibha Rani, Vikram Pudi, Dipti Misra Sharma:
A semi-supervised associative classification method for POS tagging. Int. J. Data Sci. Anal. 1(2): 123-136 (2016) - [c50]Soumyajit Ganguly, Vikram Pudi:
Competing Algorithm Detection from Research Papers. CODS 2016: 23:1-23:2 - [c49]Chanakya Aalla, Vikram Pudi:
Mining Research Problems from Scientific Literature. DSAA 2016: 351-360 - [c48]Madan Gopal Jhanwar, Vikram Pudi:
Predicting the Outcome of ODI Cricket Matches: A Team Composition Based Approach. MLSA@PKDD/ECML 2016 - [c47]Saket Maheshwary, Vikram Pudi:
Mining Keystroke Timing Pattern for User Authentication. NFMCP@PKDD/ECML 2016: 213-227 - [c46]Ganesh J, Soumyajit Ganguly, Manish Gupta, Vasudeva Varma, Vikram Pudi:
Author2Vec: Learning Author Representations by Combining Content and Link Information. WWW (Companion Volume) 2016: 49-50 - 2015
- [b1]K. Sridharan, Vikram Pudi:
Design of Arithmetic Circuits in Quantum Dot Cellular Automata Nanotechnology. Studies in Computational Intelligence 599, Springer 2015, ISBN 978-3-319-16687-2, pp. 1-99 - [c45]Saksham Singhal, Vikram Pudi:
Dispersion Based Similarity for Mining Similar Papers in Citation Network. ICDM Workshops 2015: 524-531 - 2014
- [j5]Ashish Mangalampalli, Vikram Pudi:
A Fuzzy Associative Classification Approach to Visual Concept Detection. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 22(3): 429-452 (2014) - [c44]Pratibha Rani, Vikram Pudi, Dipti Misra Sharma:
A semisupervised associative classification method for POS tagging. DSAA 2014: 156-162 - [c43]Pratibha Rani, Vikram Pudi, Dipti Misra Sharma:
TagMiner: A Semisupervised Associative POS Tagger Effective for Resource Poor Languages. DMNLP@PKDD/ECML 2014: 113-128 - [c42]Aneesh Sreevallabh Chivukula, Vikram Pudi:
Maximum Entropy Based Associative Regression for Sparse Datasets. WI-IAT (1) 2014: 400-407 - 2013
- [c41]Ashish Mangalampalli, Vikram Pudi:
FAR-HD: A fast and efficient algorithm for mining fuzzy association rules in large high-dimensional datasets. FUZZ-IEEE 2013: 1-6 - [c40]Harshit Dubey, Vikram Pudi:
Class Based Weighted K-Nearest Neighbor over Imbalance Dataset. PAKDD (2) 2013: 305-316 - [c39]Harshit Dubey, Vikram Pudi:
CLUEKR : CLUstering Based Efficient kNN Regression. PAKDD (1) 2013: 450-458 - 2012
- [j4]Ashish Mangalampalli, Vikram Pudi:
FAR-miner: a fast and efficient algorithm for fuzzy association rule mining. Int. J. Bus. Intell. Data Min. 7(4): 288-317 (2012) - [j3]Vikram Pudi, K. Sridharan:
New Decomposition Theorems on Majority Logic for Low-Delay Adder Designs in Quantum Dot Cellular Automata. IEEE Trans. Circuits Syst. II Express Briefs 59-II(10): 678-682 (2012) - [c38]Aditya Pratap Singh, Kumar Shubhankar, Vikram Pudi:
Topic-Centric Recommender Systems for Bibliographic Datasets. ADMA 2012: 689-700 - [c37]Gaurav Maheshwari, Vikram Pudi:
RNN Based Batch Mode Active Learning Framework. ESANN 2012 - [c36]Harshit Dubey, Saket Bharambe, Vikram Pudi:
BINGR: Binary Search based Gaussian Regression. KDIR 2012: 258-263 - [c35]Saket Bharambe, Harshit Dubey, Vikram Pudi:
BINER - BINary Search Based Efficient Regression. MLDM 2012: 76-85 - [c34]Shashank Paliwal, Vikram Pudi:
Investigating Usage of Text Segmentation and Inter-passage Similarities to Improve Text Document Clustering. MLDM 2012: 555-565 - 2011
- [j2]Vikram Pudi, K. Sridharan:
Efficient Design of a Hybrid Adder in Quantum-Dot Cellular Automata. IEEE Trans. Very Large Scale Integr. Syst. 19(9): 1535-1548 (2011) - [c33]Kumar Shubhankar, Aditya Pratap Singh, Vikram Pudi:
An Efficient Algorithm for Topic Ranking and Modeling Topic Evolution. DEXA (1) 2011: 320-330 - [c32]Raghvendra Mall, Nahil Jain, Vikram Pudi:
Detecting Correlations between Hot Days in News Feeds. KDIR 2011: 375-378 - [c31]Shashank Paliwal, Vikram Pudi:
Utilizing Term Proximity based Features to Improve Text Document Clustering. KDIR 2011: 537-544 - [c30]B. Sandeep Kumar, Vikram Pudi, K. Sridharan:
Efficient VLSI Architectures for the Hadamard Transform Based on Offset-Binary Coding and ROM Decomposition. ISVLSI 2011: 347-348 - [c29]Gaurav Maheshwari, Bhanukiran Vinzamuri, Vikram Pudi:
RNN Based Sampling Technique for Effective Active Learning. MLDM Posters 2011: 59-65 - [c28]Aditya Desai, Himanshu Singh, Vikram Pudi:
DISC: Data-Intensive Similarity Measure for Categorical Data. PAKDD (2) 2011: 469-481 - [c27]Ashish Mangalampalli, Adwait Ratnaparkhi, Andrew O. Hatch, Abraham Bagherjeiran, Rajesh Parekh, Vikram Pudi:
A feature-pair-based associative classification approach to look-alike modeling for conversion-oriented user-targeting in tail campaigns. WWW (Companion Volume) 2011: 85-86 - [c26]Ashish Mangalampalli, Vikram Pudi:
Fuzzy associative rule-based approach for pattern mining and identification and pattern-based classification. WWW (Companion Volume) 2011: 379-384 - 2010
- [c25]Raghvendra Mall, Prakhar Jain, Vikram Pudi, Bipin Indurkhya:
PERICASA. IEEE ICCI 2010: 888-893 - [c24]Bhanukiran Vinzamuri, Vikram Pudi:
A Robust Active Learning Framework Using Itemset Based Dynamic Rule Sampling. COMAD 2010: 103 - [c23]Hanuma Kumar, Rohit Paravastu, Vikram Pudi:
Specialty Mining. DaWak 2010: 227-238 - [c22]Himanshu Singh, Aditya Desai, Vikram Pudi:
PAGER: Parameterless, Accurate, Generic, Efficient kNN-Based Regression. DEXA (2) 2010: 168-176 - [c21]Ashish Mangalampalli, Vikram Pudi:
FACISME: Fuzzy associative classification using iterative scaling and maximum entropy. FUZZ-IEEE 2010: 1-8 - [c20]Ashish Mangalampalli, Vikram Pudi:
FPrep: Fuzzy clustering driven efficient automated pre-processing for fuzzy association rule mining. FUZZ-IEEE 2010: 1-8 - [c19]Aditya Desai, Himanshu Singh, Vikram Pudi:
SEAR - Scalable, Efficient, Accurate, Robust kNN-based Regression. KDIR 2010: 392-395 - [c18]Raghvendra Mall, Prakhar Jain, Vikram Pudi:
PERFICT: Perturbed Frequent Itemset Based Classification Technique. ICTAI (1) 2010: 79-86 - [c17]Ravi Shankar, G. V. R. Kiran, Vikram Pudi:
Evolutionary clustering using frequent itemsets. StreamKDD@KDD 2010: 25-30 - [c16]Kiran G. V. R., Ravi Shankar, Vikram Pudi:
Frequent Itemset Based Hierarchical Document Clustering Using Wikipedia as External Knowledge. KES (2) 2010: 11-20 - [e4]Mohammed Javeed Zaki, Jeffrey Xu Yu, Balaraman Ravindran, Vikram Pudi:
Advances in Knowledge Discovery and Data Mining, 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part I. Lecture Notes in Computer Science 6118, Springer 2010, ISBN 978-3-642-13656-6 [contents] - [e3]Mohammed Javeed Zaki, Jeffrey Xu Yu, Balaraman Ravindran, Vikram Pudi:
Advances in Knowledge Discovery and Data Mining, 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part II. Lecture Notes in Computer Science 6119, Springer 2010, ISBN 978-3-642-13671-9 [contents]
2000 – 2009
- 2009
- [c15]Raghvendra Mall, Neeraj Bagdia, Vikram Pudi:
Variations and Trends in Hot Topics in News Feeds. COMAD 2009 - [c14]Ashish Mangalampalli, Vikram Pudi:
Fuzzy association rule mining algorithm for fast and efficient performance on very large datasets. FUZZ-IEEE 2009: 1163-1168 - [e2]Sanjay Chawla, Kamalakar Karlapalem, Vikram Pudi:
Proceedings of the 15th International Conference on Management of Data, December 9-12, 2009, International School of Information Management, Mysore, India. Computer Society of India 2009 [contents] - 2008
- [c13]Pradhee Tandon, Piyush Nigam, Vikram Pudi, C. V. Jawahar:
FISH: a practical system for fast interactive image search in huge databases. CIVR 2008: 369-378 - [c12]Pratibha Rani, Vikram Pudi:
REBMEC: Repeat Based Maximum Entropy Classifier for Biological Sequences. COMAD 2008: 71-82 - [c11]Rohit Paravastu, Hanuma Kumar, Vikram Pudi:
Uniqueness Mining. DASFAA 2008: 84-94 - [c10]Vikram Pudi:
Is There really Anything Beyond Frequent Patterns, Classification and Clustering in Data Mining? DASFAA 2008: 710 - [c9]Pratibha Rani, Vikram Pudi:
RBNBC: Repeat Based Naive Bayes Classifier for Biological Sequences. ICDM 2008: 989-994 - [e1]Jayant R. Haritsa, Kotagiri Ramamohanarao, Vikram Pudi:
Database Systems for Advanced Applications, 13th International Conference, DASFAA 2008, New Delhi, India, March 19-21, 2008. Proceedings. Lecture Notes in Computer Science 4947, Springer 2008, ISBN 978-3-540-78567-5 [contents] - 2007
- [c8]Nataraj Jammalamadaka, Vikram Pudi, C. V. Jawahar:
Efficient Search with Changing Similarity Measures on Large Multimedia Datasets. MMM (2) 2007: 206-215 - 2005
- [c7]Risivardhan Thonangi, Vikram Pudi:
ACME: An Associative Classifier Based on Maximum Entropy Principle. ALT 2005: 122-134 - [c6]Ravindranath Jampani, Vikram Pudi:
Using Prefix-Trees for Efficiently Computing Set Joins. DASFAA 2005: 761-772 - 2003
- [c5]Vikram Pudi, Jayant R. Haritsa:
ARMOR: Association Rule Mining based on ORacle. FIMI 2003 - [c4]Vikram Pudi, Jayant R. Haritsa:
Generalized Closed Itemsets for Association Rule Mining. ICDE 2003: 714-716 - [c3]Vikram Pudi, Jayant R. Haritsa:
Reducing Rule Covers with Deterministic Error Bounds. PAKDD 2003: 313-324 - 2002
- [c2]Vikram Pudi, Jayant R. Haritsa:
How Good Are Association-Rule Mining Algorithms? ICDE 2002: 276 - [c1]Vikram Pudi, Jayant R. Haritsa:
On the Efficiency of Association-Rule Mining Algorithms. PAKDD 2002: 80-91 - 2000
- [j1]Vikram Pudi, Jayant R. Haritsa:
Quantifying the Utility of the Past in Mining Large Databases. Inf. Syst. 25(5): 323-343 (2000)
Coauthor Index
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last updated on 2024-09-07 01:02 CEST by the dblp team
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