Quantifying the Utility of the Past in Mining Large Databases. - Vikram Pudi; Jayant R. Haritsa (Inf. Syst., 2000)

How Good Are Association-Rule Mining Algorithms? - Vikram Pudi; Jayant R. Haritsa (ICDE, 2002)

On the Efficiency of Association-Rule Mining Algorithms. - Vikram Pudi; Jayant R. Haritsa (PAKDD, 2002)

ARMOR: Association Rule Mining based on ORacle. - Vikram Pudi; Jayant R. Haritsa (FIMI, 2003)

Generalized Closed Itemsets for Association Rule Mining. - Vikram Pudi; Jayant R. Haritsa (ICDE, 2003)

Reducing Rule Covers with Deterministic Error Bounds. - Vikram Pudi; Jayant R. Haritsa (PAKDD, 2003)

ACME: An Associative Classifier Based on Maximum Entropy Principle. - Risivardhan Thonangi; Vikram Pudi (ALT, 2005)

Using Prefix-Trees for Efficiently Computing Set Joins. - Ravindranath Jampani; Vikram Pudi (DASFAA, 2005)

Efficient Search with Changing Similarity Measures on Large Multimedia Datasets. - Nataraj Jammalamadaka; Vikram Pudi; C. V. Jawahar (MMM (2), 2007)

FISH: a practical system for fast interactive image search in huge databases. - Pradhee Tandon; Piyush Nigam; Vikram Pudi; C. V. Jawahar (CIVR, 2008)

REBMEC: Repeat Based Maximum Entropy Classifier for Biological Sequences. - Pratibha Rani; Vikram Pudi (COMAD, 2008)

Uniqueness Mining. - Rohit Paravastu; Hanuma Kumar; Vikram Pudi (DASFAA, 2008)

Is There really Anything Beyond Frequent Patterns, Classification and Clustering in Data Mining? - Vikram Pudi (DASFAA, 2008)

RBNBC: Repeat Based Naive Bayes Classifier for Biological Sequences. - Pratibha Rani; Vikram Pudi (ICDM, 2008)

Variations and Trends in Hot Topics in News Feeds. - Raghvendra Mall; Neeraj Bagdia; Vikram Pudi (COMAD, 2009)

Fuzzy association rule mining algorithm for fast and efficient performance on very large datasets. - Ashish Mangalampalli; Vikram Pudi (FUZZ-IEEE, 2009)

PERICASA. - Raghvendra Mall; Prakhar Jain; Vikram Pudi; Bipin Indurkhya (IEEE ICCI, 2010)

A Robust Active Learning Framework Using Itemset Based Dynamic Rule Sampling. - Bhanukiran Vinzamuri; Vikram Pudi (COMAD, 2010)

Specialty Mining. - Hanuma Kumar; Rohit Paravastu; Vikram Pudi (DaWak, 2010)

PAGER: Parameterless, Accurate, Generic, Efficient kNN-Based Regression. - Himanshu Singh; Aditya Desai; Vikram Pudi (DEXA (2), 2010)

FACISME: Fuzzy associative classification using iterative scaling and maximum entropy. - Ashish Mangalampalli; Vikram Pudi (FUZZ-IEEE, 2010)

FPrep: Fuzzy clustering driven efficient automated pre-processing for fuzzy association rule mining. - Ashish Mangalampalli; Vikram Pudi (FUZZ-IEEE, 2010)

SEAR - Scalable, Efficient, Accurate, Robust kNN-based Regression. - Aditya Desai; Himanshu Singh; Vikram Pudi (KDIR, 2010)

PERFICT: Perturbed Frequent Itemset Based Classification Technique. - Raghvendra Mall; Prakhar Jain; Vikram Pudi (ICTAI (1), 2010)

Evolutionary clustering using frequent itemsets. - Ravi Shankar; G. V. R. Kiran; Vikram Pudi (StreamKDD@KDD, 2010)

Frequent Itemset Based Hierarchical Document Clustering Using Wikipedia as External Knowledge. - Kiran G. V. R.; Ravi Shankar; Vikram Pudi (KES (2), 2010)

An Efficient Algorithm for Topic Ranking and Modeling Topic Evolution. - Kumar Shubhankar; Aditya Pratap Singh; Vikram Pudi (DEXA (1), 2011)

Detecting Correlations between Hot Days in News Feeds. - Raghvendra Mall; Nahil Jain; Vikram Pudi (KDIR, 2011)

Utilizing Term Proximity based Features to Improve Text Document Clustering. - Shashank Paliwal; Vikram Pudi (KDIR, 2011)

Efficient VLSI Architectures for the Hadamard Transform Based on Offset-Binary Coding and ROM Decomposition. - B. Sandeep Kumar; Vikram Pudi; K. Sridharan 001 (ISVLSI, 2011)

RNN Based Sampling Technique for Effective Active Learning. - Gaurav Maheshwari 003; Bhanukiran Vinzamuri; Vikram Pudi (MLDM Posters, 2011)

DISC: Data-Intensive Similarity Measure for Categorical Data. - Aditya Desai; Himanshu Singh; Vikram Pudi (PAKDD (2), 2011)

Fuzzy associative rule-based approach for pattern mining and identification and pattern-based classification. - Ashish Mangalampalli; Vikram Pudi (WWW (Companion Volume), 2011)

A feature-pair-based associative classification approach to look-alike modeling for conversion-oriented user-targeting in tail campaigns. - Ashish Mangalampalli; Adwait Ratnaparkhi; Andrew O. Hatch; Abraham Bagherjeiran; Rajesh Parekh; Vikram Pudi (WWW (Companion Volume), 2011)

Efficient Design of a Hybrid Adder in Quantum-Dot Cellular Automata. - Vikram Pudi; K. Sridharan 001 (IEEE Trans. Very Large Scale Integr. Syst., 2011)

Topic-Centric Recommender Systems for Bibliographic Datasets. - Aditya Pratap Singh; Kumar Shubhankar; Vikram Pudi (ADMA, 2012)

RNN Based Batch Mode Active Learning Framework. - Gaurav Maheshwari 003; Vikram Pudi (ESANN, 2012)

BINGR: Binary Search based Gaussian Regression. - Harshit Dubey; Saket Bharambe; Vikram Pudi (KDIR, 2012)

BINER - BINary Search Based Efficient Regression. - Saket Bharambe; Harshit Dubey; Vikram Pudi (MLDM, 2012)

Investigating Usage of Text Segmentation and Inter-passage Similarities to Improve Text Document Clustering. - Shashank Paliwal; Vikram Pudi (MLDM, 2012)

FAR-miner: a fast and efficient algorithm for fuzzy association rule mining. - Ashish Mangalampalli; Vikram Pudi (Int. J. Bus. Intell. Data Min., 2012)

New Decomposition Theorems on Majority Logic for Low-Delay Adder Designs in Quantum Dot Cellular Automata. - Vikram Pudi; K. Sridharan 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2012)

FAR-HD: A fast and efficient algorithm for mining fuzzy association rules in large high-dimensional datasets. - Ashish Mangalampalli; Vikram Pudi (FUZZ-IEEE, 2013)

CLUEKR : CLUstering Based Efficient kNN Regression. - Harshit Dubey; Vikram Pudi (PAKDD (1), 2013)

Class Based Weighted K-Nearest Neighbor over Imbalance Dataset. - Harshit Dubey; Vikram Pudi (PAKDD (2), 2013)

A semisupervised associative classification method for POS tagging. - Pratibha Rani; Vikram Pudi; Dipti Misra Sharma (DSAA, 2014)

TagMiner: A Semisupervised Associative POS Tagger Effective for Resource Poor Languages. - Pratibha Rani; Vikram Pudi; Dipti Misra Sharma (DMNLP@PKDD/ECML, 2014)

Maximum Entropy Based Associative Regression for Sparse Datasets. - Aneesh Sreevallabh Chivukula; Vikram Pudi (WI-IAT (1), 2014)

A Fuzzy Associative Classification Approach to Visual Concept Detection. - Ashish Mangalampalli; Vikram Pudi (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2014)

Dispersion Based Similarity for Mining Similar Papers in Citation Network. - Saksham Singhal; Vikram Pudi (ICDM Workshops, 2015)

Design of Arithmetic Circuits in Quantum Dot Cellular Automata Nanotechnology - K. Sridharan 001; Vikram Pudi (Springer, 2015)

Competing Algorithm Detection from Research Papers. - Soumyajit Ganguly; Vikram Pudi (CODS, 2016)

Mining Research Problems from Scientific Literature. - Chanakya Aalla; Vikram Pudi (DSAA, 2016)

Predicting the Outcome of ODI Cricket Matches: A Team Composition Based Approach. - Madan Gopal Jhanwar; Vikram Pudi (MLSA@PKDD/ECML, 2016)

Mining Keystroke Timing Pattern for User Authentication. - Saket Maheshwary; Vikram Pudi (NFMCP@PKDD/ECML, 2016)

Author2Vec: Learning Author Representations by Combining Content and Link Information. - Ganesh J; Soumyajit Ganguly; Manish Gupta 001; Vasudeva Varma; Vikram Pudi (WWW (Companion Volume), 2016)

A semi-supervised associative classification method for POS tagging. - Pratibha Rani; Vikram Pudi; Dipti Misra Sharma (Int. J. Data Sci. Anal., 2016)

WikiSeq: Mining Maximally Informative Simple Sequences from Wikipedia. - Goutam Nair; Vikram Pudi (AAAI Workshops, 2017)

Computational Core for Plant Metabolomics: A Case for Interdisciplinary Research. - Vikram Pudi; Pratibha Rani; Abhijit Mitra; Indira Ghosh (BDA, 2017)

Paper2vec: Combining Graph and Text Information for Scientific Paper Representation. - Soumyajit Ganguly; Vikram Pudi (ECIR, 2017)

Plug Load Identification using Regression based Nearest Neighbor Classifier. - Raghunath Reddy; Niranjan Keesara; Vishal Garg; Vikram Pudi (e-Energy, 2017)

AutoLearn - Automated Feature Generation and Selection. - Ambika Kaul; Saket Maheshwary; Vikram Pudi (ICDM, 2017)

Controversy Detection Using Reactions on Social Media. - Allaparthi Sriteja; Prakhar Pandey; Vikram Pudi (ICDM Workshops, 2017)

Semisupervied Data Driven Word Sense Disambiguation for Resource-poor Languages. - Pratibha Rani; Vikram Pudi; Dipti Misra Sharma (ICON, 2017)

Injecting Word Embeddings with Another Language's Resource : An Application of Bilingual Embeddings. - Prakhar Pandey; Vikram Pudi; Manish Shrivastava 001 (IJCNLP(2), 2017)

Honest Mirror: Quantitative Assessment of Player Performance in an ODI Cricket Match. - Madan Gopal Jhawar; Vikram Pudi (MLSA@PKDD/ECML, 2017)

Dynamic Winner Prediction in Twenty20 Cricket: Based on Relative Team Strengths. - Sasank Viswanadha; Kaustubh Sivalenka; Madan Gopal Jhawar; Vikram Pudi (MLSA@PKDD/ECML, 2017)

Explicit Modelling of the Implicit Short Term User Preferences for Music Recommendation. - Kartik Gupta; Noveen Sachdeva; Vikram Pudi (ECIR, 2018)

Decision Tree Ensemble for Parts-of-Speech Tagging of Resource-poor Languages. - Vamshi K. G. Reddy; Pratibha Rani; Vikram Pudi; Dipti Misra Sharma (FIRE, 2018)

Sentiment and Semantic Deep Hierarchical Attention Neural Network for Fine Grained News Classification. - Sri Teja Allaparthi; Ganesh Yaparla; Vikram Pudi (ICBK, 2018)

Attentive neural architecture incorporating song features for music recommendation. - Noveen Sachdeva; Kartik Gupta; Vikram Pudi (RecSys, 2018)

Mining Intellectual Influence Associations. - Tejas Shah; Vikram Pudi (BIR@ECIR, 2019)

Sequential Variational Autoencoders for Collaborative Filtering. - Noveen Sachdeva; Giuseppe Manco 001; Ettore Ritacco; Vikram Pudi (WSDM, 2019)

Temporal Analysis of Scientific Literature to Find Grand Challenges and Saturated Problems. - Kritika Agrawal; Vikram Pudi (BIRDS@SIGIR, 2020)

CRICTRS: Embeddings based Statistical and Semi Supervised Cricket Team Recommendation System. - Prazwal Chhabra; Rizwan Ali; Vikram Pudi (CoRR, 2020)

A feature fusion technique for improved non-intrusive load monitoring. - Raghunath Reddy; Vishal Garg; Vikram Pudi (Energy Inform., 2020)

Generating Natural Language Attacks in a Hard Label Black Box Setting. - Rishabh Maheshwary; Saket Maheshwary; Vikram Pudi (AAAI, 2021)

A Context Aware Approach for Generating Natural Language Attacks. - Rishabh Maheshwary; Saket Maheshwary; Vikram Pudi (AAAI, 2021)

Adversarial Examples for Evaluating Math Word Problem Solvers. - Vivek Kumar; Rishabh Maheshwary; Vikram Pudi (EMNLP (Findings), 2021)

A Strong Baseline for Query Efficient Attacks in a Black Box Setting. - Rishabh Maheshwary; Saket Maheshwary; Vikram Pudi (EMNLP (1), 2021)

Cross-lingual Alignment of Knowledge Graph Triples with Sentences. - Swayatta Daw; Shivprasad Sagare; Tushar Abhishek; Vikram Pudi; Vasudeva Varma (ICON, 2021)

Extraction of Competing Models using Distant Supervision and Graph Ranking. - Swayatta Daw; Vikram Pudi (SDU@AAAI, 2022)

Academic Curriculum Generation using Wikipedia for External Knowledge. - Anurag Reddy Muthyala; Vikram Pudi (ALTA, 2022)

Long Tailed Entity Extraction of Model Names using Distant Supervision. - Swayatta Daw; Vikram Pudi (BIR@ECIR, 2022)

CitRet: A Hybrid Model for Cited Text Span Retrieval. - Amit Pandey; Avani Gupta; Vikram Pudi (COLING, 2022)

Practice Makes a Solver Perfect: Data Augmentation for Math Word Problem Solvers. - Vivek Kumar; Rishabh Maheshwary; Vikram Pudi (NAACL-HLT, 2022)

Multilinguals at SemEval-2022 Task 11: Transformer Based Architecture for Complex NER. - Amit Pandey; Swayatta Daw; Vikram Pudi (SemEval@NAACL, 2022)

Multilinguals at SemEval-2022 Task 11: Complex NER in Semantically Ambiguous Settings for Low Resource Languages. - Amit Pandey; Swayatta Daw; Narendra Babu Unnam; Vikram Pudi (SemEval@NAACL, 2022)

Evaluating Generalizability of Deep Learning Models Using Indian-COVID-19 CT Dataset. - Suba S; Nita Parekh; Ramesh Loganathan; Vikram Pudi; Chinnababu Sunkavalli (CoRR, 2022)

A Novel Approach for Climate Classification Using Agglomerative Hierarchical Clustering. - Sri Sanketh Uppalapati; Vishal Garg; Vikram Pudi; Jyotirmay Mathur; Rajat Gupta; Aviruch Bhatia (EI.A, 2023)

PMCS: Partition-Based Maximal Frequent Subgraph Mining Using MCS. - Vani Sancheti; Lini T. Thomas; Vikram Pudi (COMPSAC, 2024)