Search Results - "Nedumpozhimana, Vasudevan"

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  1. 1

    Shapley Idioms: Analysing BERT Sentence Embeddings for General Idiom Token Identification by Nedumpozhimana, Vasudevan, Klubička, Filip, Kelleher, John D

    Published in Frontiers in artificial intelligence (14-03-2022)
    “…This article examines the basis of Natural Language Understanding of transformer based language models, such as BERT. It does this through a case study on…”
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    Journal Article
  2. 2

    Role of Temporal Information for Multi-step Ahead Forecasting of Solar Irradiance by Fathima, T. A., Nedumpozhimana, Vasudevan, Wu, Jiantao, Lee, Yee Hui, Dev, Soumyabrata

    “…Multi-step ahead solar irradiance time series forecasting is a challenging problem. In this paper, we propose a machine-learning based model for multi-step…”
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    Conference Proceeding
  3. 3
  4. 4

    Topic Aware Probing: From Sentence Length Prediction to Idiom Identification how reliant are Neural Language Models on Topic? by Nedumpozhimana, Vasudevan, Kelleher, John D

    Published 04-03-2024
    “…Transformer-based Neural Language Models achieve state-of-the-art performance on various natural language processing tasks. However, an open question is the…”
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    Journal Article
  5. 5

    Idioms, Probing and Dangerous Things: Towards Structural Probing for Idiomaticity in Vector Space by Klubička, Filip, Nedumpozhimana, Vasudevan, Kelleher, John D

    Published 27-04-2023
    “…The goal of this paper is to learn more about how idiomatic information is structurally encoded in embeddings, using a structural probing method. We repurpose…”
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    Journal Article
  6. 6

    Embedding Cyclical Information in Solar Irradiance Forecasting by Fathima, T. A, Nedumpozhimana, Vasudevan, Lee, Yee Hui, Dev, Soumyabrata

    Published 19-10-2021
    “…In this paper, we demonstrate the importance of embedding temporal information for an accurate prediction of solar irradiance. We have used two sets of models…”
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    Journal Article
  7. 7

    Embedding Cyclical Information in Solar Irradiance Forecasting by Fathima, T. A., Nedumpozhimana, Vasudevan, Lee, Yee Hui, Dev, Soumyabrata

    “…In this paper, we demonstrate the importance of embedding temporal information for an accurate prediction of solar irradiance. We have used two sets of models…”
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    Conference Proceeding
  8. 8

    A Chaotic Approach on Solar Irradiance Forecasting by Fathima, T. A., Nedumpozhimana, Vasudevan, Lee, Yee Hui, Winkler, Stefan, Dev, Soumyabrata

    “…We analyse the time series of solar irradiance measurements using chaos theory. The False Nearest Neighbour method (FNN), one of the most common methods of…”
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    Conference Proceeding
  9. 9

    Predicting Solar Irradiance in Singapore by Fathima, T. A., Nedumpozhimana, Vasudevan, Lee, Yee Hui, Winkler, Stefan, Dev, Soumyabrata

    “…Solar irradiance is the primary input for all solar energy generation systems. The amount of available solar radiation over time under the local weather…”
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    Conference Proceeding
  10. 10

    A Chaotic Approach on Solar Irradiance Forecasting by Fathima, T. A, Nedumpozhimana, Vasudevan, Lee, Yee Hui, Winkler, Stefan, Dev, Soumyabrata

    Published 15-12-2019
    “…We analyse the time series of solar irradiance measurements using chaos theory. The False Nearest Neighbour method (FNN), one of the most common methods of…”
    Get full text
    Journal Article
  11. 11

    Predicting Solar Irradiance in Singapore by Fathima, T. A, Nedumpozhimana, Vasudevan, Lee, Yee Hui, Winkler, Stefan, Dev, Soumyabrata

    Published 15-12-2019
    “…Solar irradiance is the primary input for all solar energy generation systems. The amount of available solar radiation over time under the local weather…”
    Get full text
    Journal Article