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ORCIDDeepak P 0001
P. Deepak 0001 – Deepak Padmanabhan 0001
Person information
- affiliation: Queen's University Belfast, UK
Other persons with the same name
- P. Deepak 0002 — Government of India, Hyderabad
- Deepak Padmanabhan 0002 — SICK, Boston, MA, USA
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2020 – today
- 2024
[j24]Priyanka C. Nair, Deepa Gupta
, Bhagavatula Indira Devi, Vani Kanjirangat, Deepak P:
Predicting Tumor Type and Residual Status of Suprasellar Lesions Using Indian Discharge Summaries. IEEE Access 12: 134379-134410 (2024)- [j23]Deepak P:
ChatGPT is not OK! That's not (just) because it lies. AI Soc. 39(4): 2133-2134 (2024) - [j22]Anoop Kadan, Deepak P, Sahely Bhadra, Manjary P. Gangan, Lajish V. L.:
Understanding latent affective bias in large pre-trained neural language models. Nat. Lang. Process. J. 7: 100062 (2024) - [c83]Stanley Simoes, Deepak P, Muiris MacCarthaigh:
Towards Fairer Centroids in K-means Clustering. AAAI 2024: 21583-21591 - [i28]Deepak P:
AI Safety: Necessary, but insufficient and possibly problematic. CoRR abs/2403.17419 (2024) - [i27]Deepak P, James Steinhoff, Stanley Simoes:
On the Political Economy of Link-based Web Search. CoRR abs/2404.16530 (2024) - 2023
- [j21]Deepak P, Stanley Simoes, Muiris MacCarthaigh:
AI and core electoral processes: Mapping the horizons. AI Mag. 44(3): 218-239 (2023) - [j20]Deepak P, Sowmya S. Sundaram:
FiSH: fair spatial hot spots. Data Min. Knowl. Discov. 37(4): 1374-1403 (2023) - [j19]Kaiqiang Yu, Cheng Long, Deepak P, Tanmoy Chakraborty:
On Efficient Large Maximal Biplex Discovery. IEEE Trans. Knowl. Data Eng. 35(1): 824-829 (2023) - [c82]Pritam Deka, Anna Jurek-Loughrey, Deepak P:
Multiple Evidence Combination for Fact-Checking of Health-Related Information. BioNLP@ACL 2023: 237-247 - [c81]Adwait P. Parsodkar, Deepak P, Sutanu Chakraborti:
The Case for Circularities in Case-Based Reasoning. ICCBR 2023: 85-101 - [c80]Shania Mitra, Ditty Mathew, Deepak P, Sutanu Chakraborti:
Group Fairness in Case-Based Reasoning. ICCBR 2023: 217-232 - [c79]Alimuddin Melleng, Anna Jurek-Loughrey, Deepak P:
Multi-task Ensemble Learning for Fake Reviews Detection and Helpfulness Prediction: A Novel Approach. RANLP 2023: 721-729 - [c78]Alimuddin Melleng, Anna Jurek-Loughrey, Deepak P:
Data Fusion for Better Fake Reviews Detection. RANLP 2023: 730-738 - [c77]Marc Elliott, Deepak P:
A Group-Level Learning Approach Using Logistic Regression for Fairer Decisions. SAFECOMP Workshops 2023: 301-313 - [i26]Anoop Kadan, Deepak P, Manjary P. Gangan, Savitha Sam Abraham, Lajish V. L:
REDAffectiveLM: Leveraging Affect Enriched Embedding and Transformer-based Neural Language Model for Readers' Emotion Detection. CoRR abs/2301.08995 (2023) - [i25]Anoop Kadan, Deepak P, Sahely Bhadra, Manjary P. Gangan, Lajish V. L:
Blacks is to Anger as Whites is to Joy? Understanding Latent Affective Bias in Large Pre-trained Neural Language Models. CoRR abs/2301.09003 (2023) - [i24]Deepak P, Stanley Simoes, Muiris MacCarthaigh:
AI and Core Electoral Processes: Mapping the Horizons. CoRR abs/2302.03774 (2023) - 2022
- [j18]S. Abilasha, Sahely Bhadra, Deepak P, Anish Mathew:
Warping resilient scalable anomaly detection in time series. Neurocomputing 511: 22-33 (2022) - [j17]K. Anoop, Deepak P, Savitha Sam Abraham, Lajish V. L., Manjary P. Gangan:
Readers' affect: predicting and understanding readers' emotions with deep learning. J. Big Data 9(1): 82 (2022) - [j16]Pritam Deka, Anna Jurek-Loughrey, Deepak P:
Improved Methods to Aid Unsupervised Evidence-Based Fact Checking for Online Heath News. J. Data Intell. 3(4): 474-504 (2022) - [c76]Abilasha S, Sahely Bhadra, Ahmed Zaheer Dadarkar, Deepak P:
Deep Extreme Mixture Model for Time Series Forecasting. CIKM 2022: 1726-1735 - [c75]Pritam Deka, Anna Jurek-Loughrey, Deepak P:
Evidence Extraction to Validate Medical Claims in Fake News Detection. HIS 2022: 3-15 - [c74]Sarathi K., Shania Mitra, Deepak P, Sutanu Chakraborti:
Counterfactuals as Explanations for Monotonic Classifiers. ICCBR Workshops 2022: 177-188 - [c73]Adwait P. Parsodkar, Deepak P, Sutanu Chakraborti:
Never Judge a Case by Its (Unreliable) Neighbors: Estimating Case Reliability for CBR. ICCBR 2022: 256-270 - [c72]Kaiqiang Yu, Cheng Long, Deepak P, Tanmoy Chakraborty:
On Efficient Large Maximal Biplex Discovery (Extended abstract). ICDE 2022: 1483-1484 - [c71]Savitha Sam Abraham, Deepak P, Sowmya S. Sundaram:
Span Detection for Kinematics Word Problems. ICONIP (6) 2022: 276-288 - [i23]Anoop Kadan, Manjary P. Gangan, Deepak P, Lajish V. L:
Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias. CoRR abs/2204.10365 (2022) - [i22]Stanley Simoes, Deepak P, Muiris MacCarthaigh:
Exploring Rawlsian Fairness for K-Means Clustering. CoRR abs/2205.02052 (2022) - [i21]Sowmya S. Sundaram, Sairam Gurajada, Marco Fisichella, Deepak P, Savitha Sam Abraham:
Why are NLP Models Fumbling at Elementary Math? A Survey of Deep Learning based Word Problem Solvers. CoRR abs/2205.15683 (2022) - [i20]Navya Sahadevan, Deepak P:
On Gender Bias in Fake News. CoRR abs/2209.11984 (2022) - [i19]Stanley Simoes, Deepak P, Muiris MacCarthaigh:
Cluster-level Group Representativity Fairness in k-means Clustering. CoRR abs/2212.14467 (2022) - 2021
- [b2]Deepak P, Tanmoy Chakraborty, Cheng Long, Santhosh Kumar G:
Data Science for Fake News - Surveys and Perspectives. The Information Retrieval Series 42, Springer 2021, ISBN 978-3-030-62695-2, pp. 1-302 - [j15]Deepak P, Savitha Sam Abraham:
FairLOF: Fairness in Outlier Detection. Data Sci. Eng. 6(4): 485-499 (2021) - [j14]Anil Bandhakavi, Nirmalie Wiratunga, Stewart Massie, Deepak P:
Emotion-aware polarity lexicons for Twitter sentiment analysis. Expert Syst. J. Knowl. Eng. 38(7) (2021) - [j13]Anoop V. S., Deepak P, S. Asharaf:
A distributional semantics-based information retrieval framework for online social networks. Intell. Decis. Technol. 15(2): 189-199 (2021) - [c70]Pragya Prakash, Jay Rawal, Snehal Gupta, Deepak P, Mukesh K. Mohania:
Cross-modal Data Linkage for Common Entity Identification. ADMA 2021: 301-313 - [c69]Srashti Kaurav, Devi Ganesan, Deepak P, Sutanu Chakraborti:
Thinking Fast and Slow: A CBR Perspective. FLAIRS 2021 - [c68]Srashti Kaurav, Devi Ganesan, Deepak P, Sutanu Chakraborti:
Revisiting Fast and Slow Thinking in Case-Based Reasoning. ICCBR 2021: 110-124 - [c67]Renganathan Subramanian, Devi Ganesan, Deepak P, Sutanu Chakraborti:
Towards Richer Realizations of Holographic CBR. ICCBR 2021: 201-215 - [c66]Pritam Deka, Anna Jurek-Loughrey, Deepak P:
Unsupervised Keyword Combination Query Generation from Online Health Related Content for Evidence-Based Fact Checking. iiWAS 2021: 267-277 - [c65]Alimuddin Melleng, Anna Jurek-Loughrey, Deepak P:
Ranking Online Reviews Based on Their Helpfulness: An Unsupervised Approach. RANLP 2021: 959-967 - [i18]Deepak P, Sowmya S. Sundaram:
FiSH: Fair Spatial Hotspots. CoRR abs/2106.06049 (2021) - [i17]Deepak P, Sanil V, Joemon M. Jose:
On Fairness and Interpretability. CoRR abs/2106.13271 (2021) - 2020
- [c64]Sowmya S. Sundaram, Deepak P, Savitha Sam Abraham:
Distributed Representations for Arithmetic Word Problems. AAAI 2020: 9000-9007 - [c63]Deepak P, Joemon M. Jose, Sanil V:
Fairness in Unsupervised Learning. CIKM 2020: 3511-3512 - [c62]Savitha Sam Abraham, Deepak P, Sowmya S. Sundaram:
Fairness in Clustering with Multiple Sensitive Attributes. EDBT 2020: 287-298 - [c61]Siva Charan Reddy Gangireddy, Deepak P, Cheng Long, Tanmoy Chakraborty:
Unsupervised Fake News Detection: A Graph-based Approach. HT 2020: 75-83 - [c60]S. Meena Padnekar, G. Santhosh Kumar, P. Deepak:
BiLSTM-Autoencoder Architecture for Stance Prediction. ICDSE 2020: 1-5 - [c59]Anoop Kadan, Deepak P, Lajish V. L:
Emotion cognizance improves health fake news identification. IDEAS 2020: 12:1-12:10 - [c58]Deepak P:
Local connectivity in centroid clustering. IDEAS 2020: 15:1-15:9 - [c57]Soumya Suvra Ghosal, Deepak P, Anna Jurek-Loughrey:
ReSCo-CC: Unsupervised Identification of Key Disinformation Sentences. iiWAS 2020: 47-54 - [c56]Martins Samuel Dogo, Deepak P, Anna Jurek-Loughrey:
Exploring Thematic Coherence in Fake News. PKDD/ECML Workshops 2020: 571-580 - [c55]Iknoor Singh, Deepak P, Anoop Kadan:
On the Coherence of Fake News Articles. PKDD/ECML Workshops 2020: 591-607 - [c54]Deepak P, Savitha Sam Abraham:
Representativity Fairness in Clustering. WebSci 2020: 202-211 - [c53]Ankita Likhyani, Vinayak Gupta, Srijith P. K, Deepak P, Srikanta Bedathur:
Modeling Implicit Communities from Geo-Tagged Event Traces Using Spatio-Temporal Point Processes. WISE (1) 2020: 153-169 - [c52]Deepak P, Savitha Sam Abraham:
Fair Outlier Detection. WISE (2) 2020: 447-462 - [i16]Sridhama Prakhya, Deepak P:
Unsupervised Separation of Native and Loanwords for Malayalam and Telugu. CoRR abs/2002.05527 (2020) - [i15]Deepak P, Savitha Sam Abraham:
Fair Outlier Detection. CoRR abs/2005.09900 (2020) - [i14]Ankita Likhyani, Vinayak Gupta, Srijith P. K, Deepak P, Srikanta Bedathur:
Modeling Implicit Communities using Spatio-Temporal Point Processes from Geo-tagged Event Traces. CoRR abs/2006.07580 (2020) - [i13]Deepak P:
Whither Fair Clustering? CoRR abs/2007.07838 (2020) - [i12]Deepak P:
Local Connectivity in Centroid Clustering. CoRR abs/2010.05353 (2020) - [i11]Deepak P, Savitha Sam Abraham:
Representativity Fairness in Clustering. CoRR abs/2010.07054 (2020) - [i10]Soumya Suvra Ghosal, Deepak P, Anna Jurek-Loughrey:
ReSCo-CC: Unsupervised Identification of Key Disinformation Sentences. CoRR abs/2010.10836 (2020) - [i9]Martins Samuel Dogo, Deepak P, Anna Jurek-Loughrey:
Exploring Thematic Coherence in Fake News. CoRR abs/2012.09118 (2020)
2010 – 2019
- 2019
- [j12]Ankita Likhyani, Srikanta Bedathur, P. Deepak:
Location-Specific Influence Quantification in Location-Based Social Networks. ACM Trans. Intell. Syst. Technol. 10(3): 23:1-23:28 (2019) - [c51]Alimuddin Melleng, Anna Jurek-Loughrey, Deepak P:
Sentiment and Emotion Based Representations for Fake Reviews Detection. RANLP 2019: 750-757 - [i8]Anish Mathew, Deepak P, Sahely Bhadra:
Warping Resilient Time Series Embeddings. CoRR abs/1906.05205 (2019) - [i7]Anoop Kadan, Deepak P, Lajish V. L:
Emotion Cognizance Improves Fake News Identification. CoRR abs/1906.10365 (2019) - [i6]Iknoor Singh, Deepak P, Anoop Kadan:
On the Coherence of Fake News Articles. CoRR abs/1906.11126 (2019) - [i5]Savitha Sam Abraham, Deepak P, Sowmya S. Sundaram:
Fairness in Clustering with Multiple Sensitive Attributes. CoRR abs/1910.05113 (2019) - 2018
- [j11]Adit Krishnan, Deepak P, Sayan Ranu, Sameep Mehta:
Leveraging semantic resources in diversified query expansion. World Wide Web 21(4): 1041-1067 (2018) - [c50]Stanley Simoes, Deepak P, Munu Sairamesh, Deepak Khemani, Sameep Mehta:
Content and Context: Two-Pronged Bootstrapped Learning for Regex-Formatted Entity Extraction. AAAI 2018: 5924-5931 - [c49]Carl Duffy, Deepak P, Cheng Long, M. Satish Kumar, Amit Thorat, Amaresh Dubey:
Fast Identification of Interesting Spatial Regions with Applications in Human Development Research. DEXA (2) 2018: 408-416 - [c48]Anna Jurek, Deepak P:
It Pays to Be Certain: Unsupervised Record Linkage via Ambiguity Minimization. PAKDD (3) 2018: 177-190 - [c47]Sumit Bhatia, Deepak P:
Topic-Specific Sentiment Analysis Can Help Identify Political Ideology. WASSA@EMNLP 2018: 79-84 - [i4]Deepak P:
Unsupervised Separation of Transliterable and Native Words for Malayalam. CoRR abs/1803.09641 (2018) - [i3]Sumit Bhatia, Deepak P:
Topic-Specific Sentiment Analysis Can Help Identify Political Ideology. CoRR abs/1810.12897 (2018) - 2017
- [j10]Anil Bandhakavi, Nirmalie Wiratunga, Stewart Massie, Deepak Padmanabhan:
Lexicon Generation for Emotion Detection from Text. IEEE Intell. Syst. 32(1): 102-108 (2017) - [j9]Anil Bandhakavi, Nirmalie Wiratunga, Deepak Padmanabhan, Stewart Massie:
Lexicon based feature extraction for emotion text classification. Pattern Recognit. Lett. 93: 133-142 (2017) - [c46]Rami Suleiman Alkhawaldeh, Deepak P, Joemon M. Jose, Fajie Yuan:
LTRo: Learning to Route Queries in Clustered P2P IR. ECIR 2017: 513-519 - [c45]Deepak P, Dinesh Garg, Shirish K. Shevade:
Latent Space Embedding for Retrieval in Question-Answer Archives. EMNLP 2017: 855-865 - [c44]Deepak P:
Unsupervised Separation of Transliterable and Native Words for Malayalam. ICON 2017: 155-164 - [c43]Ankita Likhyani, Srikanta Bedathur, Deepak P:
LoCaTe: Influence Quantification for Location Promotion in Location-based Social Networks. IJCAI 2017: 2259-2265 - [c42]Colm Sweeney, Deepak Padmanabhan:
Multi-entity sentiment analysis using entity-level feature extraction and word embeddings approach. RANLP 2017: 733-740 - [i2]Oluwaseun Ajao, Deepak P, Jun Hong:
Location Inference from Tweets using Grid-based Classification. CoRR abs/1701.03855 (2017) - 2016
- [c41]Rami Suleiman Alkhawaldeh, Joemon M. Jose, Deepak P:
Evaluating Document Retrieval Methods for Resource Selection in Clustered P2P IR. CIKM 2016: 2073-2076 - [c40]Vikas Joshi, Deepak P, L. Venkata Subramaniam:
Leveraging Stratification in Twitter Sampling. ECAI 2016: 1212-1220 - [c39]Deepak P:
MixKMeans: Clustering Question-Answer Archives. EMNLP 2016: 1576-1585 - [c38]Rami Suleiman Alkhawaldeh, Joemon M. Jose, Deepak P:
Clustering-Based Query Routing in Cooperative Semi-Structured Peer to Peer Networks. ICTAI 2016: 378-382 - [c37]Anil Bandhakavi, Nirmalie Wiratunga, Stewart Massie, P. Deepak:
Emotion-Corpus Guided Lexicons for Sentiment Analysis on Twitter. SGAI Conf. 2016: 71-85 - [c36]Adit Krishnan, Deepak Padmanabhan, Sayan Ranu, Sameep Mehta:
Select, Link and Rank: Diversified Query Expansion and Entity Ranking Using Wikipedia. WISE (1) 2016: 157-173 - [i1]Anoop V. S., Asharaf S., Deepak P:
Learning Concept Hierarchies through Probabilistic Topic Modeling. CoRR abs/1611.09573 (2016) - 2015
- [b1]Deepak P, Prasad M. Deshpande:
Operators for Similarity Search - Semantics, Techniques and Usage Scenarios. Springer Briefs in Computer Science, Springer 2015, ISBN 978-3-319-21256-2, pp. 1-113 - [c35]Deepak P, Sayan Ranu, Prithu Banerjee, Sameep Mehta:
Entity Linking for Web Search Queries. ECIR 2015: 394-399 - [c34]Sayan Ranu, Deepak P, Aditya D. Telang, Prasad Deshpande, Sriram Raghavan:
Indexing and matching trajectories under inconsistent sampling rates. ICDE 2015: 999-1010 - [c33]Ankita Likhyani, Deepak Padmanabhan, Srikanta J. Bedathur, Sameep Mehta:
Inferring and Exploiting Categories for Next Location Prediction. WWW (Companion Volume) 2015: 65-66 - 2014
- [j8]Aditya Telang, P. Deepak, Salil Joshi, Prasad Deshpande, Ranjana Rajendran:
Detecting localized homogeneous anomalies over spatio-temporal data. Data Min. Knowl. Discov. 28(5-6): 1480-1502 (2014) - [c32]Deepak P, Karthik Visweswariah:
Unsupervised Solution Post Identification from Discussion Forums. ACL (1) 2014: 155-164 - [c31]Deepak P, Sayan Ranu:
Entity Linking: Detecting Entities within Text. COMAD 2014: 9-10 - [c30]Deepak P, Atreyee Dey, Debapriyo Majumdar:
Fast Mining of Interesting Phrases from Subsets of Text Corpora. EDBT 2014: 193-204 - [c29]Anil Bandhakavi, Nirmalie Wiratunga, Deepak P, Stewart Massie:
Generating a Word-Emotion Lexicon from #Emotional Tweets. *SEM@COLING 2014: 12-21 - 2013
- [c28]Deepak P, Sutanu Chakraborti, Deepak Khemani:
Query Suggestions for Textual Problem Solution Repositories. ECIR 2013: 569-581 - 2012
- [j7]Vipin Balachandran, Deepak P, Deepak Khemani:
Interpretable and reconfigurable clustering of document datasets by deriving word-based rules. Knowl. Inf. Syst. 32(3): 475-503 (2012) - [j6]Karin Murthy, Prasad M. Deshpande, Atreyee Dey, Ramanujam Halasipuram, Mukesh K. Mohania, Deepak Padmanabhan, Jennifer Reed, Scott Schumacher:
Exploiting Evidence from Unstructured Data to Enhance Master Data Management. Proc. VLDB Endow. 5(12): 1862-1873 (2012) - [c27]P. Deepak, Karthik Visweswariah, Nirmalie Wiratunga, Sadiq Sani:
Two-part segmentation of text documents. CIKM 2012: 793-802 - [c26]Aditya Telang, Deepak Padmanabhan, Prasad Deshpande:
Spatio-Temporal Indexing: Current Scenario, Challenges and Approaches. COMAD 2012: 9-11 - [c25]Amit Singh, Deepak P, Dinesh Raghu:
Retrieving similar discussion forum threads: a structure based approach. SIGIR 2012: 135-144 - [c24]Deepak Padmanabhan, Prasad M. Deshpande, Karin Murthy:
Configurable and Extensible Multi-flows for Providing Analytics as a Service on the Cloud. SRII Global Conference 2012: 1-10 - [c23]Deepak P, Sutanu Chakraborti:
Finding Relevant Tweets. WAIM 2012: 228-240 - [c22]Karin Murthy, Deepak Padmanabhan, Prasad M. Deshpande:
Improving Recall of Regular Expressions for Information Extraction. WISE 2012: 455-467 - 2011
- [c21]Deepak P, Sutanu Chakraborti, Deepak Khemani:
More or better: on trade-offs in compacting textual problem solution repositories. CIKM 2011: 2321-2324 - [c20]Prasad M. Deshpande, Deepak Padmanabhan:
Efficient reverse skyline retrieval with arbitrary non-metric similarity measures. EDBT 2011: 319-330 - [c19]Danish Contractor, L. Venkata Subramaniam, P. Deepak, Ankush Mittal:
Text Retrieval Using SMS Queries: Datasets and Overview of FIRE 2011 Track on SMS-Based FAQ Retrieval. FIRE 2011: 86-99 - [c18]Mahashweta Das, Deepak Padmanabhan, Prasad Deshpande, Ramakrishnan Kannan:
Fast Rule Mining Over Multi-Dimensional Windows. SDM 2011: 582-593 - 2010
- [j5]Deepak Padmanabhan, Prasad Deshpande:
Efficient RkNN Retrieval with Arbitrary Non-Metric Similarity Measures. Proc. VLDB Endow. 3(1): 1243-1254 (2010) - [c17]Karin Murthy, Deepak Padmanabhan, Prasad M. Deshpande, Sreekanth L. Kakaraparthy, Vedula T., Surya Sandeep, Vijaya K. Shyamsundar, Sanjay K. Singh:
Content-Aware Master Data Management. COMAD 2010: 206
2000 – 2009
- 2009
- [j4]Jon Lenchner, Daniela Rosu, Nicole F. Velasquez, Shang Guo, Ken Christiance, Don DeFelice, Prasad M. Deshpande, Krishna Kummamuru, Naama Kraus, Laura Z. Luan, Debapriyo Majumdar, Martin McLaughlin, Shila Ofek-Koifman, Deepak Padmanabhan, Charles Perng, Haggai Roitman, Christopher Ward, James Young:
A service delivery platform for server management services. IBM J. Res. Dev. 53(6): 2 (2009) - [j3]Krishna Kummamuru, Deepak Padmanabhan, Shourya Roy, L. Venkata Subramaniam:
Unsupervised segmentation of conversational transcripts. Stat. Anal. Data Min. 2(4): 231-245 (2009) - [c16]Vipin Balachandran, Deepak P, Deepak Khemani:
Interpretable and reconfigurable clustering of document datasets by deriving word-based rules. CIKM 2009: 1773-1776 - [c15]Joseph P. Bigus, Upendra Chitnis, Prasad M. Deshpande, Ramakrishnan Kannan, Mukesh K. Mohania, Sumit Negi, Deepak Padmanabhan, Edwin P. D. Pednault, Soujanya Soni, Bipen K. Telkar, Brian F. White:
CRM Analytics Framework. COMAD 2009 - [c14]Deepak Padmanabhan, Prasad M. Deshpande, Debapriyo Majumdar, Raghu Krishnapuram:
Efficient skyline retrieval with arbitrary similarity measures. EDBT 2009: 1052-1063 - [c13]Lakshmish Ramaswamy, P. Deepak, Ramana Polavarapu, Kutila Gunasekera, Dinesh Garg, Karthik Visweswariah, Shivkumar Kalyanaraman:
CAESAR: A Context-Aware, Social Recommender System for Low-End Mobile Devices. Mobile Data Management 2009: 338-347 - 2008
- [c12]Prasad M. Deshpande, Deepak Padmanabhan, Krishna Kummamuru:
Efficient online top-K retrieval with arbitrary similarity measures. EDBT 2008: 356-367 - [c11]Deepak P, Anuradha Bhamidipaty, Swati Challa:
Intelligent user assistance for cost effective usage of mobile phone. IUI 2008: 317-320 - [c10]Krishna Kummamuru, Deepak Padmanabhan, Shourya Roy, L. Venkata Subramaniam:
Unsupervised Segmentation of Conversational Transcripts. SDM 2008: 834-845 - 2007
- [j2]Deepak Padmanabhan, Krishna Kummamuru:
Mining conversational text for procedures with applications in contact centers. Int. J. Document Anal. Recognit. 10(3-4): 227-238 (2007) - [c9]Deepak P, Anuradha Bhamidipaty:
Optimizing on Mobile Usage Cost for the Lower Income Group: Insights and Recommendations. INTERACT (1) 2007: 339-342 - [c8]Anuradha Bhamidipaty, Deepak P:
SymAB : Symbol-Based Address Book for the Semi-literate Mobile User. INTERACT (1) 2007: 389-392 - 2006
- [c7]Deepak P, Deepak Khemani:
Unsupervised Learning from URL Corpora. COMAD 2006: 128-139 - [c6]Deepak P, Deepak Khemani:
UnURL: Unsupervised Learning from URLs. COMAD 2006: 198-201 - [c5]Delip Rao, Deepak P, Deepak Khemani:
Corpus Based Unsupervised Labeling of Documents. FLAIRS 2006: 321-326 - [c4]Deepak P, Delip Rao, Deepak Khemani:
Differential Voting in Case Based Spam Filtering. ICDM (Posters) 2006: 230-243 - [c3]Deepak P, Delip Rao, Deepak Khemani:
Building Clusters of Related Words: An Unsupervised Approach. PRICAI 2006: 474-483 - 2005
- [c2]P. Deepak, Sandeep Parameswaran:
Spam Filtering using Spam Mail Communities. SAINT 2005: 377-383 - 2004
- [j1]P. Deepak, Jyothi John:
Identifying the subject of small, sparsely linked collections from a web community. Int. J. Web Based Communities 1(1): 35-45 (2004) - [c1]P. Deepak, Jyothi John, Sandeep Parameswaran:
Context Disambiguation in Web Search Results. ICWS 2004: 700-707
Coauthor Index
Prasad Deshpande
aka: Prasad M. Deshpande
aka: Prasad M. Deshpande
Anna Jurek-Loughrey
aka: Anna Jurek
aka: Anna Jurek
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last updated on 2024-10-25 21:18 CEST by the dblp team
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