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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
- 2025
[j28]Deepak P:
AI safety: necessary, but insufficient and possibly problematic. AI Soc. 40(2): 1143-1145 (2025)- [j27]Marc T. J. Elliott, Deepak P, Muiris MacCarthaigh:
Evolving Generative AI: Entangling the Accountability Relationship. Digit. Gov. Res. Pract. 6(1): 16:1-16:13 (2025) - [i29]Sujit Mandava, Deepak P, Sahely Bhadra:
News about Global North considered Truthful! The Geo-political Veracity Gradient in Global South News. CoRR abs/2502.05032 (2025) - 2024
- [j26]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) - [j25]Deepak P:
ChatGPT is not OK! That's not (just) because it lies. AI Soc. 39(4): 2133-2134 (2024) - [j24]Anoop Kadan, Deepak P, Manjary P. Gangan, Savitha Sam Abraham, V. L. Lajish:
REDAffectiveLM: leveraging affect enriched embedding and transformer-based neural language model for readers' emotion detection. Knowl. Inf. Syst. 66(12): 7495-7525 (2024) - [j23]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) - [j22]Sowmya S. Sundaram, Sairam Gurajada, Deepak Padmanabhan, Savitha Sam Abraham, Marco Fisichella:
Does a language model "understand" high school math? A survey of deep learning based word problem solvers. WIREs Data. Mining. Knowl. Discov. 14(4) (2024) - [c84]Stanley Simoes, Deepak P, Muiris MacCarthaigh:
Towards Fairer Centroids in K-means Clustering. AAAI 2024: 21583-21591 - [c83]Adwait P. Parsodkar, Deepak P, Sutanu Chakraborti:
Navigating the Landscape of Case Fidelity and Competence in Case-Based Reasoning. SGAI Conf. (1) 2024: 235-249 - [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 T. J. 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
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-04-25 18:58 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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the dblp computer science bibliography is funded and supported by:
