Search Results - "Katale, Tejaswini"

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  1. 1

    An Accurate Prediction and Diagnosis of Alzheimer's Disease using Deep Learning by Baskar, S, Prasad, Mudarakola Lakshmi, Sharma, Nipun, I, Nandhini, Katale, Tejaswini, Reddy, Pundru Chandra Shaker

    “…Recent years have seen an increase in the amount of focus placed on the study of Alzheimer's disease (AD) categorization and prediction. Historically, one…”
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    Conference Proceeding
  2. 2

    A Novel approach for formation of Dense Clusters by Outlier Elimination and Standard Deviation by Joglekar, Pushkar, Katale, Tejaswini, Katale, Aishwarya, Deshpande, Surabhi, Nirgude, Aarya, Chotrani, Aakash

    “…Outliers are the uncommon data points which deviate from the majority of the Data from a dataset. Presence of Outliers can affect the model's performance,…”
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    Conference Proceeding
  3. 3

    New Approaches to Robust Homogeneous And Clearly Identifiable Cluster Creation by Dhabe, Priyadarshan, Kamble, Anveshika, Agrawal, Kunjal, Jadhav, Saurabh, Katale, Tejaswini, Anuse, Utkarsh

    “…Clustering is a widely used technique in data analysis, but outliers can significantly impact the accuracy of traditional clustering methods. To address this…”
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    Conference Proceeding
  4. 4

    Data Reduction Algorithm: Identification and Elimination of Erroneous rows by Katale, Tejaswini, Mahalle, Parikshit N., Gautam, Waidehi, Shinde, Gitanjali R.

    “…Data Reduction without the removal of exact, correct rows is a crucial pre-processing step. Large Datasets make it difficult to model data effectively or…”
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    Conference Proceeding
  5. 5

    Comparative Analysis of Outlier Elimination Algorithms on Pulsar Stars Dataset by Katale, Tejaswini, Gautam, Waidehi, Chotrani, Aakash, Katale, Aishwarya, Mahalle, Parikshit N., Shinde, Gitanjali R.

    “…Outliers are uncommon observations that are dispersed from most of the other Data Points. These points, which can be abnormally high or low, can significantly…”
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    Conference Proceeding
  6. 6

    A Novel Ensemble Deep Learning Framework for Breast Cancer Prediction by Shaker Reddy, Pundru Chandra, Nithyapriya, S, Sharma, Nipun, Maheswari, S, Jayaram, B, Katale, Tejaswini

    “…Because of its high incidence and high mortality rate, breast cancer requires reliable means of early detection and diagnosis to improve survival rates for its…”
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    Conference Proceeding