IIIT Hyderabad Publications

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Books

1. Advances in Knowledge Discovery and Data Mining, Part I , Edited by Mohammed J Zaki,Jeffrey Xu Yu,B Ravindran,Vikram Pudi, Springer, 6118/2010, Lecture Notes in Artificial Intelligence, 2010.
   Book no: IIIT/Bk/2010/2
2. Advances in Knowledge Discovery and Data Mining, Part II , Edited by Mohammed J Zaki,Jeffrey Xu Yu,B Ravindran,Vikram Pudi, Springer, 6119/2010, Lecture Notes in Artificial Intelligence, 2010.
   Book no: IIIT/Bk/2010/3
3. Proceedings of 15th Intl. Conf. on Management of Data, COMAD 2009 , Edited by Sanjay Chawla,Kamalakar Karlapalem,Vikram Pudi, Allied Publishers, 2009.
   Book no: IIIT/Bk/2009/3
4. Data Mining , Vikram Pudi,P. Radha Krishna, Oxford University Press, 2009.
   Book no: IIIT/Bk/2009/4
5. Data Quality and High Dimensional Data Analytics: Proceedings of the DASFAA 2008 Workshops , Edited by Chee-Yong Chan,Sanjay Chawla,Shazia Sadiq,Xiaofang Zhou,Vikram Pudi, World Scientific, 2009.
   Book no: IIIT/Bk/2009/5
6. Proceedings of 13th Intl. Conf. on Database Systems for Advanced Applications, DASFAA 2008 , Ramamohanarao Kotagiri,Jayant R Haritsa,Vikram Pudi, Springer, 4947/2009, Lecture Notes in Computer Science, 2008.
   Book no: IIIT/Bk/2008/1

Papers

1. Generating Natural Language Attacks in a Hard Label Black Box Setting, Rishabh Maheshwary,Saket Maheshwary,Vikram Pudi, Association for the Advancement of Artificial Intelligence ,
   February 2021 :1-9 .
   Report no: IIIT/TR/2021/2 , (pdf)
2. A feature fusion technique for improved non-intrusive load monitoring, Raghunath Reddy,Vishal Garg,Vikram Pudi, Energy Informatics , 3, September 2020 :1-15.
   Report no: IIIT/TR/2020/141 , (pdf)
3. CRICTRS: Embeddings based Statistical and Semi Supervised Cricket Team Recommendation System, Prazwal Chhabra,Rizwan Ali,Vikram Pudi, International Conference on Machine Learning Techniques and NLP ,
   October 2020 :1-11 .
   Report no: IIIT/TR/2020/139 , (pdf)
4. Mining Intellectual Influence Associations, Tejas Shah,Vikram Pudi, BIR 2019 Workshop on Bibliometric-enhanced Information Retrieval 100 ,
   January 2019 .
   Report no: IIIT/TR/2019/211 , (pdf)
5. Explainable Clustering Using Hyper-Rectangles for Building Energy Simulation Data, Aviruch Bhatia,Vishal Garg, PhilipHaves,Vikram Pudi, Asia Conference of International Building Performance Simulation (ASIM 2018 2018),
   December 2018 .
   Report no: IIIT/TR/2018/155 , (pdf)
6. Sentiment and Semantic Deep Hierarchical Attention Neural Network for fine grained News Classification, Sriteja Allaparthi,Ganesh Yaparla,Vikram Pudi, IEEE International Conference on Big Knowledge (ICBK-2018 2018),
   November 2018 , SIngapore.
   Report no: IIIT/TR/2018/129 , (pdf)
7. Attentive Neural Architecture Incorporating Song Features For Music Recommendation, Noveen Sachdeva,Kartik Gupta,Vikram Pudi, 12th ACM Conference on Recommender Systems (RECSYS-2018 2018),
   October 2018 , Vancouver, Canada.
   Report no: IIIT/TR/2018/69 , (pdf)
8. Explicit Modelling of the Implicit Short Term User Preferences for Music Recommendation, Kartik Gupta,Noveen Sachdeva,Vikram Pudi, 2018 European Conference on Information Retrieval (ECIR 2018) (ECIR-2018 2018),
   March 2018 , Grenoble, France.
   Report no: IIIT/TR/2018/10 , (pdf)
9. Plug Load Identification using Regression based Nearest Neighbor Classifier, Raghunath Reddy,Niranjan Keesara,Vishal Garg,Vikram Pudi, Proceedings of the Eighth International Conference on Future Energy Systems ,
   May 2017 :1-10 .
   Report no: IIIT/TR/2017/185 , (pdf)
10. Computational Core for Plant Metabolomics: A Case for Interdisciplinary Research, Vikram Pudi,Pratibha Rani,Abhijit Mitra, Indira Ghosh, March 2017 .
    Report no: IIIT/TR/2017/183 , (pdf)
11. Paper2vec: Combining Graph and Text Information for Scientific Paper Representation, Soumyajit Ganguly,Vikram Pudi, 2017 European Conference on Information Retrieval (ECIR) (ECIR-2017 2017),
    April 2017 , Aberdeen, Scotland.
    Report no: IIIT/TR/2017/151 , (pdf)
12. AutoLearn - Automated Feature Generation and Selection, Ambika Kaul,saket.maheshwary ,Vikram Pudi, 2017 IEEE International Conference on Data Mining (ICDM-2017 2017),
    November 2017 , New Orleans, USA.
    Report no: IIIT/TR/2017/136 , (pdf)
13. Data Driven Feature Learning , saket.maheshwary ,Ambika Kaul,Vikram Pudi, 34 th International Conference on Machine Learning Workshop (ICML-2017 2017),
    August 2017 , International Convention Centre, Sydney Australia..
    Report no: IIIT/TR/2017/120 , (pdf)
14. Controversy Detection Using Reactions on Social Media, Sriteja Allaparthi,Prakhar Pandey,Vikram Pudi, ICDMW-2017 (IEEE International Conference on Data Mining Workshops 2017 2017),
    November 2017 , New Orleans, USA.
    Report no: IIIT/TR/2017/117 , (pdf)
15. Semisupervised Data Driven Word Sense Disambiguation for Resource-poor Languages, Pratibha Rani,Vikram Pudi,Dipti Misra Sharma, 14th International Conference on Natural Language Processing (ICON 2017) (ICON-2017 2017),
    December 2017 .
    Report no: IIIT/TR/2017/108 , (pdf)
16. Injecting Word Embeddings with Another Language’s Resource : An Application of Bilingual Embeddings, Prakhar Pandey,Vikram Pudi,Manish Shrivastava, International Joint Conference on Natural Language Processing (IJCNLP-2017 2017),
    November 2017 , Taipei, Taiwan.
    Report no: IIIT/TR/2017/91 , (pdf)
17. Data Driven Feature Learning, saket.maheshwary ,Ambika Kaul,Vikram Pudi, 34th International Conference on Machine Learning Workshop (ICML 2017),
    August 2017 , Sydney, Australia.
    Report no: IIIT/TR/2017/80 , (pdf)
18. Competing Algorithm Detection from Research Papers, Soumyajit Ganguly,Vikram Pudi, 3rd IKDD Conference on Data Science (CoDS), 2016 (CoDS-2016 2016),
    March 2016 , Pune, India.
    Report no: IIIT/TR/2016/85 , (pdf)
19. A semi-supervised associative classification method for POS tagging, Pratibha Rani,Vikram Pudi,Dipti Misra Sharma, International Journal of Data Science and Analytics, Volume 1, Issue 2, July 2016 :123-136.
    Report no: IIIT/TR/2016/78 , (pdf)
20. Predicting the Outcome of ODI Cricket Matches: A Team Composition Based Approach, Madan Gopal Jhawar,Vikram Pudi, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2016),
    September 2016 , Conference Center, Riva del Garda..
    Report no: IIIT/TR/2016/32 , (pdf)
21. Author2Vec: Learning Author Representations by Combining Content and Link Information, Ganesh J,Soumyajit Ganguly,Manish Gupta,Vasudeva Varma,Vikram Pudi,
    July 2016 , Pisa, Italy..
    Report no: IIIT/TR/2016/10 , (pdf)
22. PLUG LOAD IDENTIFICATION IN EDUCATIONAL BUILDINGS USING MACHINE LEARNING ALGORITHMS, Raghunath Shivram Reddy,Niranjan Keesara,Vikram Pudi,Vishal Garg, 14th Conference of International Building Performance Simulation Association ,
    December 2015 :1-7 .
    Report no: IIIT/TR/2015/146 , (pdf)
23. TagMiner: A Semisupervised Associative POS Tagger Effective for Resource Poor Languages, Pratibha Rani,Vikram Pudi,Vasudeva Varma, Workshop on Interactions between Data Mining and Natural Language Processing (DMNLP'14 @ ECML/PKDD 2014) (DMNLP'14 @ ECML/PKDD 2014 2014),
    September 2014 , Nancy, France.
    Report no: IIIT/TR/2014/113 , (pdf)
24. A Semisupervised Associative Classification Method for POS Tagging, Pratibha Rani,Vikram Pudi,Dipti Misra Sharma, October 2014.
    Report no: IIIT/TR/2014/106 , (pdf)
25. A Semisupervised Associative Classification Method for POS Tagging, Pratibha Rani,Vikram Pudi,Dipti Misra Sharma, The 2014 International Conference on Data Science and Advanced Analytics (DSAA 2014) ,
    October 2014 , shanghai, China.
    Report no: IIIT/TR/2014/104 , (pdf)
26. Investigating Usage of Text Segmentation and Inter-passage Similarities to Improve Text Document Clustering , Shashank Paliwal,Vikram Pudi, 8th International Conference on Machine Learning and Data Mining (MLDM 2012 2012),
    July 2012 .
    Report no: IIIT/TR/2012/133 , (pdf)
27. Topic-centric Recommender Systems for Bibliographic Datasets, Aditya Pratap Singh,Kumar Shubhankar,Vikram Pudi, 8th International Conference, ADMA 2012, Nanjing, China ,
    December 2012 .
    Report no: IIIT/TR/2012/87 , (pdf)
28. BINER: Binary Search Based Efficient Regression, saket.bharambeug08@students.iiit.ac.in ,Harshit Dubey,Vikram Pudi, Machine Learning and Data Mining in Pattern Recognition (MLDM 2012),
    July 2012 :76-85 , Berlin, Germany.
    Report no: IIIT/TR/2012/56 , (pdf)
29. Utilizing Term Proximity Based Features to Improve Text Document Clustering, Shashank Paliwal,Vikram Pudi, KDIR 2011 ,
    October 2011 .
    Report no: IIIT/TR/2011/99 , (pdf)
30. A Frequent Keyword-set Based Algorithm for Topic Modeling and Clustering of Research Papers, Kumar Shubhankar,Aditya Pratap Singh,Vikram Pudi, Data Mining and Optimization (DMO 2011),
    June 2011 .
    Report no: IIIT/TR/2011/28 , (pdf)
31. An Efficient Algorithm for Ranking Research Papers Based on Citation Network, Aditya Pratap Singh,Kumar Shubhankar,Vikram Pudi, Data Mining and Optimization (DMO 2011),
    June 2011 .
    Report no: IIIT/TR/2011/27 , (pdf)
32. An Efficient Algorithm for Topic Ranking and Modeling Topic Evolution, Kumar Shubhankar,Aditya Pratap Singh,Vikram Pudi, International Conference on Database and Expert Systems Applications (DEXA 2011),
    August 2011 .
    Report no: IIIT/TR/2011/26 , (pdf)
33. Mining Nutrition Survey Data, Lydia Manikonda,Raghvendra Mall,Vikram Pudi,Raghunatha Rao, IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2011),
    April 2011 .
    Report no: IIIT/TR/2011/25 , (pdf)
34. DISC: Data-Intensive Similarity Measure for Categorical Data, Aditya Desai,Himanshu singh,Vikram Pudi, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2011),
    May 2011 .
    Report no: IIIT/TR/2011/24 , (pdf)
35. RNN based sampling technique for effective Active Learning, Gaurav Maheshwari,Bhanukiran Vinzamuri,Vikram Pudi, International Conference on Machine Learning and Data Mining (MLDM 2011),
    August 2011 .
    Report no: IIIT/TR/2011/23 , (pdf)
36. PERFICT: Perturbed Frequent Itemset Based Classification Technique, Raghvendra Mall,Prakhar Jain,Vikram Pudi, IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2010),
    October 2010 .
    Report no: IIIT/TR/2010/153 , (pdf)
37. UACI: Uncertain Associative Classifier for Object Class Identification in Images, Lydia Manikonda,Ashish Mangalampalli,Vikram Pudi, International Conference of Image and Vision Computing New Zealand (IVCNZ 2010),
    November 2010 .
    Report no: IIIT/TR/2010/152 , (pdf)
38. A Robust Active Learning Framework using Itemset based Dynamic Rule Sampling, Bhanukiran Vinzamuri,Vikram Pudi, Intl. Conf. on Management of Data (COMAD 2010),
    December 2010 , Nagpur, India.
    Report no: IIIT/TR/2010/90 , (pdf)
39. PAGER: Parameterless, Accurate, Generic, Efficient kNN-based Regression., Himanshu singh,Aditya Desai,Vikram Pudi, Intl Conf on Database and Expert Systems Applications (DEXA 2010),
    August 2010 , Bilbao, Spain .
    Report no: IIIT/TR/2010/41 , (pdf)
40. GEAR: Generic, Efficient, Accurate kNN-based Regression, Aditya Desai,Himanshu singh,Vikram Pudi, Intl Conf on Knowledge Discovery and Information Retrieval (KDIR 2010),
    October 2010 , Valencia, Spain.
    Report no: IIIT/TR/2010/40 , (pdf)
41. ProMax: A Profit Maximizing Recommendation System for Market Baskets, Lydia Manikonda,Annu Tuli,Vikram Pudi, SIGAI Workshop on Emerging Research Trends in AI (ERTAI 2010),
    April 2010 , Mumbai, India.
    Report no: IIIT/TR/2010/39 , (pdf)
42. FACISME: Fuzzy Associative Classification using Iterative Scaling and Maximum Entropy, Ashish Mangalampalli,Vikram Pudi, IEEE Intl Conference on Fuzzy Systems (FUZZ-IEEE 2010),
    July 2010 , Barcelona, Spain.
    Report no: IIIT/TR/2010/37 , (pdf)
43. FPrep: Fuzzy Clustering driven Efficient Automated Pre-processing for Fuzzy Association Rule Mining, Ashish Mangalampalli,Vikram Pudi, IEEE Intl Conference on Fuzzy Systems (FUZZ-IEEE 2010),
    July 2010 , Barcelona, Spain.
    Report no: IIIT/TR/2010/36 , (pdf)
44. Evolutionary Clustering using Frequent Itemsets, K. Ravi Shankar,G V R Kiran,Vikram Pudi, SIGKDD Workshop on Novel Data Stream Pattern Mining Techniques (StreamKDD 2010),
    July 2010 , Washington D.C, USA.
    Report no: IIIT/TR/2010/35 , (pdf)
45. Specialty Mining, Hanuma Kumar,Rohit Paravastu,Vikram Pudi, Intl Conference on Data Warehousing and Knowledge Discovery (DaWaK 2010),
    August 2010 , Bilbao, Spain.
    Report no: IIIT/TR/2010/34 , (pdf)
46. Frequent Itemset based Hierarchical Document Clustering using Wikipedia as External Knowledge, G V R Kiran,K. Ravi Shankar,Vikram Pudi, Intl Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2010),
    September 2010 , Wales, UK.
    Report no: IIIT/TR/2010/33 , (pdf)
47. Mining Landmark Papers, Annu Tuli,Vikram Pudi, SIGAI Workshop on Emerging Research Trends in AI (ERTAI 2010),
    April 2010 , Mumbai, India.
    Report no: IIIT/TR/2010/32 , (pdf)
48. PERICASA, Raghvendra Mall,Prakhar Jain,Vikram Pudi,Bipin Indurkhya, IEEE Intl Conference on Cognitive Informatics (IEEE ICCI 2010),
    July 2010 , Beijing, China.
    Report no: IIIT/TR/2010/31 , (pdf)
49. Variations and Trends in Hot Topics in News Feeds, Raghvendra Mall,Neeraj Bagdia,Vikram Pudi, International Conference on Management of Data (COMAD 2009),
    December 2009 , Mysore, India.
    Report no: IIIT/TR/2009/231 , (pdf)
50. Rapid Associative Interactive Learner, Bhanukiran Vinzamuri,Vikram Pudi, December 2009.
    Report no: IIIT/TR/2009/187 , (pdf)
51. Semi Automated Interactive Ensemble Based Learner, Bhanukiran Vinzamuri,Vikram Pudi, December 2009.
    Report no: IIIT/TR/2009/186 , (pdf)
52. Fuzzy Association Rule Mining Algorithm for Fast and Efficient Performance on Very Large Datasets, Ashish Mangalampalli,Vikram Pudi, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2009),
    August 2009 , Jeju Island, Korea.
    Report no: IIIT/TR/2009/173 , (pdf)
53. PAGER: Parameterless, Accurate, Generic, Efficient kNN-based Regression, Aditya Desai,Himanshu singh,Vikram Pudi, October 2009.
    Report no: IIIT/TR/2009/157 , (pdf)
54. REBMEC: Repeat Based Maximum Entropy Classifier for Biological Sequences, Pratibha Rani,Vikram Pudi, In Proc. of Intl. Conf. on Management of Data (COMAD-08), Mumbai, India. ,
    December 2008 .
    Report no: IIIT/TR/2008/173 , (pdf)
55. RBNBC: Repeat Based Naive Bayes Classifier for Biological Sequences, Pratibha Rani,Vikram Pudi, In Proc. of Intl. Conf. on Data Mining (ICDM-08), Pisa, Italy. ,
    December 2008 .
    Report no: IIIT/TR/2008/172 , (pdf)
56. Fuzzy Logic -based Pre-processing for Fuzzy Association Rule Mining, Ashish Mangalampalli,Vikram Pudi, October 2008.
    Report no: IIIT/TR/2008/127 , (pdf)
57. RBNBC: Repeat Based Naive Bayes Classifier for Biological Sequences, Pratibha Rani,Vikram Pudi, September 2008.
    Report no: IIIT/TR/2008/126 , (pdf)
58. FISH: A Practical System for Fast Interactive Image Search in Huge Databases, Pradhee Tandon,Piyush Nigam,Vikram Pudi, C V Jawahar, Proceedings of 7th ACM International Conference on Image and Video Retrieval (CIVR '08), July 7-9, 2008, Niagara Falls, Canada ,
    July 2008 .
    Report no: IIIT/TR/2008/114
59. Uniqueness Mining, Rohit Paravastu,Hanuma Kumar,Vikram Pudi, Proc. of Intl. Conf. on Database Systems for Advanced Applications (DASFAA-08), New Delhi, India ,
    March 2008 .
    Report no: IIIT/TR/2008/12 , (pdf)
60. Efficient Search with Changing Similarity Measures on Large Multimedia Datasets, Nataraj Jammalamadaka,Vikram Pudi, C V Jawahar, Proc. of The International Multimedia Modelling Conference(MMM2007), LNCS 4352, Part-II, PP. 206-215, 2007. ,
    June 2007 .
    Report no: IIIT/TR/2007/10 , (pdf)
61. Using Prefix Trees for Efficiently Computing Set Joins, Ravindranath Jampani,Vikram Pudi, In Proc. of Intl. Conf. on Database Systems for Advanced Applications (DASFAA-05), Beijing, China, April 2005. ,
    April 2005 .
    Report no: IIIT/TR/2005/11
62. ACME: An Associative Classifier based on Maximum Entropy, Rishi Vardhan,Vikram Pudi, In Proc. of Intl. Conf. on Algorithmic Learning Theory (ALT-05), Singapore, October 2005. ,
    October 2005 .
    Report no: IIIT/TR/2005/10 , (pdf)
63. Selectivity Estimation for Set Joins, Ravindranath Jampani,Rishi Vardhan,Vikram Pudi, January 2005.
    Report no: IIIT/TR/2005/2
64. ARMOR: Association Rule Mining based on ORacle, Vikram Pudi,Jayant R Haritsa, In Proc. of ICDM Workshop on Frequent Itemset Mining Implementations (FIMI-03), Melbourne, Florida, USA, November 2003 ,
    November 2003 .
    Report no: IIIT/TR/2003/4 , (pdf)