Search Results - "Talukdar, Pratim"

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  1. 1
  2. 2

    Factors affecting the survival rate of dental implants: A retrospective study by Raikar, Sonal, Talukdar, Pratim, Kumari, Sarala, Panda, Sangram, Oommen, Vinni, Prasad, Arvind

    “…Aims and Objectives: Dental implants have emerged as new treatment modality for the majority of patients and are expected to play a significant role in oral…”
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    Journal Article
  3. 3

    Disinfectant Efficacy of 0.525% Sodium Hypochlorite and Epimax on Alginate Impression Material by Choudhury, Gopal Krishna, Chitumalla, Rajkiran, Manual, Litto, Rajalbandi, Santosh Kumar, Chauhan, Mahinder Singh, Talukdar, Pratim

    “…Species of Streptococcus, Escherichia coli, Staphylococcus, Actinomyces, Pseudomonas, Klebsiella, and Candida are commonly seen in the oral cavity. Impression…”
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    Journal Article
  4. 4

    An in vitro Evaluation of Fracture Resistance of endodontically treated Teeth with Different Restorative Materials by Sangwan, Babita, Rishi, Rahul, Seal, Mukut, Jain, Kanav, Dutt, Pranjali, Talukdar, Pratim

    “…The aim of the present study is to compare and assess the fracture resistance of root canal treated teeth with different restorative materials. The present in…”
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    Journal Article
  5. 5

    Herbal panacea: The need for today in dentistry by Seal, Mukut, Rishi, Rahul, Satish, G, Divya, K, Talukdar, Pratim, Maniyar, Radhika

    “…Among ancient civilizations, India has been known to be a rich repository of medicinal plants. Herbal extracts have been used in traditional medicine for…”
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    Journal Article
  6. 6

    In vitro Comparative Evaluation of Tensile Bond Strength of 6th, 7th and 8th Generation Dentin Bonding Agents by Kamble, Suresh S, Kandasamy, Baburajan, Thillaigovindan, Ranjani, Goyal, Nitin Kumar, Talukdar, Pratim, Seal, Mukut

    Published in Journal of international oral health (01-05-2015)
    “…Newer dentin bonding agents were developed to improve the quality of composite restoration and to reduce time consumption in its application. The aim of the…”
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    Journal Article
  7. 7

    In vitro Comparative Evaluation of Tensile Bond Strength of 6(th), 7(th) and 8(th) Generation Dentin Bonding Agents by Kamble, Suresh S, Kandasamy, Baburajan, Thillaigovindan, Ranjani, Goyal, Nitin Kumar, Talukdar, Pratim, Seal, Mukut

    Published in Journal of international oral health (01-05-2015)
    “…Newer dentin bonding agents were developed to improve the quality of composite restoration and to reduce time consumption in its application. The aim of the…”
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    Journal Article
  8. 8

    Active learning in keyword search-based data integration by Yan, Zhepeng, Zheng, Nan, Ives, Zachary G., Talukdar, Partha Pratim, Yu, Cong

    Published in The VLDB journal (01-10-2015)
    “…The problem of scaling up data integration, such that new sources can be quickly utilized as they are discovered, remains elusive: Global schemas for…”
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    Journal Article
  9. 9

    OKGIT: Open Knowledge Graph Link Prediction with Implicit Types by Chandrahas, Talukdar, Partha Pratim

    Published 24-06-2021
    “…Open Knowledge Graphs (OpenKG) refer to a set of (head noun phrase, relation phrase, tail noun phrase) triples such as (tesla, return to, new york) extracted…”
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    Journal Article
  10. 10

    Turbo-SMT: Parallel coupled sparse matrix-Tensor factorizations and applications by Papalexakis, Evangelos E., Mitchell, Tom M., Sidiropoulos, Nicholas D., Faloutsos, Christos, Talukdar, Partha Pratim, Murphy, Brian

    Published in Statistical analysis and data mining (01-08-2016)
    “…How can we correlate the neural activity in the human brain as it responds to typed words, with properties of these terms (like ‘edible’, ‘fits in hand’)? In…”
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    Journal Article
  11. 11

    ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations by Ranjan, Ekagra, Sanyal, Soumya, Talukdar, Partha Pratim

    Published 18-11-2019
    “…Graph Neural Networks (GNN) have been shown to work effectively for modeling graph structured data to solve tasks such as node classification, link prediction…”
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    Journal Article
  12. 12

    Revisiting Simple Neural Networks for Learning Representations of Knowledge Graphs by Ravishankar, Srinivas, Chandrahas, Talukdar, Partha Pratim

    Published 14-11-2017
    “…We address the problem of learning vector representations for entities and relations in Knowledge Graphs (KGs) for Knowledge Base Completion (KBC). This…”
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    Journal Article
  13. 13

    Graph-Based Weakly-Supervised Methods for Information Extraction & Integration by Talukdar, Partha Pratim

    Published 2010
    “…The variety and complexity of potentially-related data resources available for querying--webpages, databases, data warehouses--has been growing ever more…”
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    Dissertation
  14. 14

    Inducing Interpretability in Knowledge Graph Embeddings by Chandrahas, Sengupta, Tathagata, Pragadeesh, Cibi, Talukdar, Partha Pratim

    Published 10-12-2017
    “…We study the problem of inducing interpretability in KG embeddings. Specifically, we explore the Universal Schema (Riedel et al., 2013) and propose a method to…”
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    Journal Article
  15. 15

    Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch by Talukdar, Partha Pratim, Cohen, William

    Published 10-10-2013
    “…Graph-based Semi-supervised learning (SSL) algorithms have been successfully used in a large number of applications. These methods classify initially unlabeled…”
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    Journal Article
  16. 16

    Graph-based weakly-supervised methods for information extraction & integration by Talukdar, Partha Pratim

    “…The variety and complexity of potentially-related data resources available for querying---webpages, databases, data warehouses---has been growing ever more…”
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    Dissertation
  17. 17

    Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis by Xiao Fu, Kejun Huang, Papalexakis, Evangelos E., Hyun-Ah Song, Talukdar, Partha Pratim, Sidiropoulos, Nicholas D., Faloutsos, Christos, Mitchell, Tom

    “…Generalized canonical correlation analysis (GCCA) aims at extracting common structure from multiple 'views', i.e., high-dimensional matrices representing the…”
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    Conference Proceeding
  18. 18

    Improving Product Classification Using Images by Kannan, A., Talukdar, P. P., Rasiwasia, N., Qifa Ke

    “…Product classification in Commerce search (e.g., Google Product Search, Bing Shopping) involves associating categories to offers of products from a large…”
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    Conference Proceeding
  19. 19

    Scoup-SMT: Scalable Coupled Sparse Matrix-Tensor Factorization by Papalexakis, Evangelos E, Mitchell, Tom M, Sidiropoulos, Nicholas D, Faloutsos, Christos, Talukdar, Partha Pratim, Murphy, Brian

    Published 27-02-2013
    “…How can we correlate neural activity in the human brain as it responds to words, with behavioral data expressed as answers to questions about these same words?…”
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    Journal Article