Search Results - "Afli, Haithem"

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  1. 1

    Enabling All In-Edge Deep Learning: A Literature Review by Joshi, Praveen, Hasanuzzaman, Mohammed, Thapa, Chandra, Afli, Haithem, Scully, Ted

    Published in IEEE access (2023)
    “…In recent years, deep learning (DL) models have demonstrated remarkable achievements on non-trivial tasks such as speech recognition, image processing, and…”
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    Journal Article
  2. 2

    adaptMLLM: Fine-Tuning Multilingual Language Models on Low-Resource Languages with Integrated LLM Playgrounds by Lankford, Séamus, Afli, Haithem, Way, Andy

    Published in Information (Basel) (01-12-2023)
    “…The advent of Multilingual Language Models (MLLMs) and Large Language Models (LLMs) has spawned innovation in many areas of natural language processing…”
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    Journal Article
  3. 3

    Human Evaluation of English–Irish Transformer-Based NMT by Lankford, Séamus, Afli, Haithem, Way, Andy

    Published in Information (Basel) (01-07-2022)
    “…In this study, a human evaluation is carried out on how hyperparameter settings impact the quality of Transformer-based Neural Machine Translation (NMT) for…”
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    Journal Article
  4. 4
  5. 5

    Putative mobilized colistin resistance genes in the human gut microbiome by Andrade, Bruno G N, Goris, Tobias, Afli, Haithem, Coutinho, Felipe H, Dávila, Alberto M R, Cuadrat, Rafael R C

    Published in BMC microbiology (22-07-2021)
    “…The high incidence of bacterial genes that confer resistance to last-resort antibiotics, such as colistin, caused by mobilized colistin resistance (mcr) genes,…”
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    Journal Article
  6. 6

    Performance and Information Leakage in Splitfed Learning and Multi-Head Split Learning in Healthcare Data and Beyond by Joshi, Praveen, Thapa, Chandra, Camtepe, Seyit, Hasanuzzaman, Mohammed, Scully, Ted, Afli, Haithem

    Published in Methods and protocols (13-07-2022)
    “…Machine learning (ML) in healthcare data analytics is attracting much attention because of the unprecedented power of ML to extract knowledge that improves the…”
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    Journal Article
  7. 7

    BiGAMi: Bi-Objective Genetic Algorithm Fitness Function for Feature Selection on Microbiome Datasets by Leske, Mike, Bottacini, Francesca, Afli, Haithem, Andrade, Bruno G N

    Published in Methods and protocols (23-05-2022)
    “…The relationship between the host and the microbiome, or the assemblage of microorganisms (including bacteria, archaea, fungi, and viruses), has been proven…”
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    Journal Article
  8. 8
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    adaptNMT: an open-source, language-agnostic development environment for neural machine translation by Lankford, Séamus, Afli, Haithem, Way, Andy

    Published in Language resources and evaluation (01-12-2023)
    “…adaptNMT streamlines all processes involved in the development and deployment of RNN and Transformer neural translation models. As an open-source application,…”
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    Journal Article
  10. 10

    Predicting Country Instability Using Bayesian Deep Learning and Random Forest by Zebrowski, Adam, Afli, Haithem

    Published 10-11-2024
    “…Country instability is a global issue, with unpredictably high levels of instability thwarting socio-economic growth and possibly causing a slew of negative…”
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    Journal Article
  11. 11

    GASE: Generatively Augmented Sentence Encoding by Frank, Manuel, Afli, Haithem

    Published 07-11-2024
    “…We propose an approach to enhance sentence embeddings by applying generative text models for data augmentation at inference time. Unlike conventional data…”
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    Journal Article
  12. 12

    Design of an Open-Source Architecture for Neural Machine Translation by Lankford, Séamus, Afli, Haithem, Way, Andy

    Published 06-03-2024
    “…In Proceedings of the 1st Workshop on Open Community-Driven Machine Translation, pages 15-20, Tampere, Finland. European Association for Machine Translation,…”
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    Journal Article
  13. 13

    Transformers for Low-Resource Languages: Is F\'eidir Linn by Lankford, Séamus, Afli, Haithem, Way, Andy

    Published 04-03-2024
    “…Proceedings of Machine Translation Summit XVIII: Research Track 2021 The Transformer model is the state-of-the-art in Machine Translation. However, in general,…”
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    Journal Article
  14. 14

    Human Evaluation of English--Irish Transformer-Based NMT by Lankford, Séamus, Afli, Haithem, Way, Andy

    Published 04-03-2024
    “…Information 2022, 13(7), 309 In this study, a human evaluation is carried out on how hyperparameter settings impact the quality of Transformer-based Neural…”
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    Journal Article
  15. 15

    adaptMLLM: Fine-Tuning Multilingual Language Models on Low-Resource Languages with Integrated LLM Playgrounds by Lankford, Séamus, Afli, Haithem, Way, Andy

    Published 04-03-2024
    “…Information 2023, 14(12), 638 The advent of Multilingual Language Models (MLLMs) and Large Language Models has spawned innovation in many areas of natural…”
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    Journal Article
  16. 16

    adaptNMT: an open-source, language-agnostic development environment for Neural Machine Translation by Lankford, Séamus, Afli, Haithem, Way, Andy

    Published 04-03-2024
    “…Language Resources and Evaluation 57, 1671-1696, (2023) adaptNMT streamlines all processes involved in the development and deployment of RNN and Transformer…”
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    Journal Article
  17. 17

    Machine Translation in the Covid domain: an English-Irish case study for LoResMT 2021 by Lankford, Séamus, Afli, Haithem, Way, Andy

    Published 02-03-2024
    “…Proceedings of the 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT2021) Translation models for the specific domain of translating Covid…”
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    Journal Article
  18. 18

    gaHealth: An English-Irish Bilingual Corpus of Health Data by Lankford, Séamus, Afli, Haithem, Loinsigh, Órla Ní, Way, Andy

    Published 06-03-2024
    “…In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 6753-6758, Marseille, France. European Language Resources Association,…”
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    Journal Article
  19. 19

    Federated Split Learning with Only Positive Labels for resource-constrained IoT environment by Joshi, Praveen, Thapa, Chandra, Hasanuzzaman, Mohammed, Scully, Ted, Afli, Haithem

    Published 25-07-2023
    “…Distributed collaborative machine learning (DCML) is a promising method in the Internet of Things (IoT) domain for training deep learning models, as data is…”
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    Journal Article
  20. 20

    Enabling All In-Edge Deep Learning: A Literature Review by Joshi, Praveen, Hasanuzzaman, Mohammed, Thapa, Chandra, Afli, Haithem, Scully, Ted

    Published 07-04-2022
    “…In recent years, deep learning (DL) models have demonstrated remarkable achievements on non-trivial tasks such as speech recognition and natural language…”
    Get full text
    Journal Article