Search Results - "Fernando, Subha"

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  1. 1

    Accelerating language emergence by functional pressures by Vithanage, Kasun, Wijesinghe, Rukshan, Xavier, Alex, Tissera, Dumindu, Jayasena, Sanath, Fernando, Subha

    Published in PloS one (14-12-2023)
    “…In language emergence, neural agents acquire communication skills by interacting with one another and the environment. Through these interactions, agents learn…”
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    Journal Article
  2. 2

    Transformers in Single Object Tracking: An Experimental Survey by Kugarajeevan, Janani, Kokul, Thanikasalam, Ramanan, Amirthalingam, Fernando, Subha

    Published in IEEE access (01-01-2023)
    “…Single-object tracking is a well-known and challenging research topic in computer vision. Over the last two decades, numerous researchers have proposed various…”
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    Journal Article
  3. 3

    Combining Long-Term Recurrent Convolutional and Graph Convolutional Networks to Detect Phishing Sites Using URL and HTML by Ariyadasa, Subhash, Fernando, Shantha, Fernando, Subha

    Published in IEEE access (2022)
    “…Phishing, a well-known cyber-attack practice has gained significant research attention in the cyber-security domain for the last two decades due to its dynamic…”
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    Journal Article
  4. 4

    Modeling honeybee communication using network of spiking neural networks to simulate nectar reporting behavior by Fernando, Subha, Kumarasinghe, Nishantha

    Published in Artificial life and robotics (01-06-2018)
    “…The paper presents the findings of the research that attempted to mathematically model the cognitive behavior that could arise due to the interaction between…”
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    Journal Article
  5. 5

    An Advisor-Based Architecture for a Sample-Efficient Training of Autonomous Navigation Agents with Reinforcement Learning by Wijesinghe, Rukshan Darshana, Tissera, Dumindu, Vithanage, Mihira Kasun, Xavier, Alex, Fernando, Subha, Samarawickrama, Jayathu

    Published in Robotics (Basel) (01-10-2023)
    “…Recent advancements in artificial intelligence have enabled reinforcement learning (RL) agents to exceed human-level performance in various gaming tasks…”
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    Journal Article
  6. 6

    Deep Rule Visualizer: A Novel Explainable Deep Neural Network Visualization Architecture by Rathnayke, Lahiru Kavinda, Fernando, Subha

    “…This paper introduces the Deep Rule Visualizer, an architecture designed to enhance the interpretability of deep neural networks (DNNs). By integrating xDNN…”
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    Conference Proceeding
  7. 7

    Spike-Timing-Dependent Plasticity and Short-Term Plasticity Jointly Control the Excitation of Hebbian Plasticity without Weight Constraints in Neural Networks by Fernando, Subha, Yamada, Koichi

    “…Hebbian plasticity precisely describes how synapses increase their synaptic strengths according to the correlated activities between two neurons; however, it…”
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    Journal Article
  8. 8

    Beyond the Run-rate: Forecasting Framework for First Innings Score in T20 Cricket by Abeysuriya, Dulitha, Fernando, Subha, Navarathna, Rajitha

    “…With the popularity of the T20 cricket format, the game of cricket has dramatically changed compared to several decades ago. Every year there are more than 100…”
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    Conference Proceeding
  9. 9

    Transformers in Single Object Tracking: An Experimental Survey by Thangavel, Janani, Kokul, Thanikasalam, Ramanan, Amirthalingam, Fernando, Subha

    Published 23-06-2023
    “…IEEE Access 2023 Single-object tracking is a well-known and challenging research topic in computer vision. Over the last two decades, numerous researchers have…”
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    Journal Article
  10. 10

    Identification and Tracking of Groups of People using Object Detection and Object Tracking by Sandeepanie, Tharuja, Fernando, Subha

    “…Object detection is one of the most important areas in the fields of Data Science and Computer Vision. In this paper, we present a novel approach to…”
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    Journal Article
  11. 11

    Selective Information Flow for Transformer Tracking by Kugarajeevan, Janani, Thanikasalam, Kokul, Ramanan, Amirthalingam, Fernando, Subha

    Published in Expert systems with applications (01-01-2025)
    “…Fully transformer-based one-stream trackers have demonstrated outstanding performance on challenging benchmark datasets over the past three years. These…”
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    Journal Article
  12. 12

    SmartiPhish: a reinforcement learning-based intelligent anti-phishing solution to detect spoofed website attacks by Ariyadasa, Subhash, Fernando, Shantha, Fernando, Subha

    “…Phishing, a well-known cyberattack that cannot be completely eradicated from the Internet, has increased dramatically since the COVID-19 pandemic. Despite…”
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    Journal Article
  13. 13

    Neural mixture models with expectation-maximization for end-to-end deep clustering by Tissera, Dumindu, Vithanage, Kasun, Wijesinghe, Rukshan, Xavier, Alex, Jayasena, Sanath, Fernando, Subha, Rodrigo, Ranga

    Published in Neurocomputing (Amsterdam) (21-09-2022)
    “…Any clustering algorithm must synchronously learn to model the clusters and allocate data to those clusters in the absence of labels. Mixture model-based…”
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    Journal Article
  14. 14

    End-to-end data-dependent routing in multi-path neural networks by Tissera, Dumindu, Wijesinghe, Rukshan, Vithanage, Kasun, Xavier, Alex, Fernando, Subha, Rodrigo, Ranga

    Published in Neural computing & applications (01-06-2023)
    “…Neural networks are known to give better performance with increased depth due to their ability to learn more abstract features. Although the deepening of…”
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    Journal Article
  15. 15

    Neural Machine Translation Approach for Singlish to English Translation by Sandaruwan, Dinidu, Sumathipala, Sagara, Fernando, Subha

    “…Comprehension of “Singlish” (an alternative writing system for Sinhala language) texts by a machine had been a requirement for a long period. It has been a…”
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    Journal Article
  16. 16

    Feature-Dependent Cross-Connections in Multi-Path Neural Networks by Tissera, Dumindu, Vithanage, Kasun, Wijesinghe, Rukshan, Kahatapitiya, Kumara, Fernando, Subha, Rodrigo, Ranga

    “…Learning a particular task from a dataset, samples in which originate from diverse contexts, is challenging, and usually addressed by deepening or widening…”
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    Conference Proceeding
  17. 17

    Synaptic redistribution and variability of signal release probability of Hebbian neurons at low-firing frequencies in a dynamic stochastic neural network by Fernando, Subha, Yamada, Koichi

    Published in Artificial life and robotics (01-02-2013)
    “…This paper presents the finding of the research we conducted to evaluate the variability of signal release probability at Hebb’s presynaptic neuron under…”
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    Journal Article
  18. 18

    Optimizing Robotic Swarm Based Construction Tasks by Liyanage, Teshan, Fernando, Subha

    “…Social insects in nature such as ants, termites and bees construct their colonies collaboratively in a very efficient process. In these swarms, each insect…”
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    Conference Proceeding
  19. 19

    Artificial Intelligence for Futuristic Banking by Thisarani, Moksha, Fernando, Subha

    “…Artificial Intelligence (AI) has become an essential resource for large banks that deal with regulatory changes, new Anti-Money Laundering (AML) obligations…”
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    Conference Proceeding
  20. 20

    Optimizing robotic swarm based construction tasks by Liyanage, Teshan, Fernando, Subha

    Published 17-06-2021
    “…Social insects in nature such as ants, termites and bees construct their colonies collaboratively in a very efficient process. In these swarms, each insect…”
    Get full text
    Journal Article