Browsing Data Science Institute (Conference Papers) by Author "Breslin, John G."
Now showing items 1-9 of 9
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Argumentation 3.0: how Semantic Web technologies can improve argumentation modeling in Web 2.0 environments
Schneider, Jodi; Passant, Alexandre; Groza, Tudor; Breslin, John G. (2010)Argumentative discussions are common in Web 2.0 applications, but the social Web still offers limited or no explicit support for argumentation. As Web 2.0 applications become more popular, modeling argumentation happening ... -
A Content Analysis: How Wikipedia Talk Pages Are Used
Schneider, Jodi; Passant, Alexandre; Breslin, John G. (2010) -
Edge2Train: A framework to train machine learning models (SVMs) on resource-constrained IoT edge devices
Sudharsan, Bharath; Breslin, John G.; Ali, Muhammad Intizar (Association for Computing Machinery (ACM), 2020-10-06)In recent years, ML (Machine Learning) models that have been trained in data centers can often be deployed for use on edge devices. When the model deployed on these devices encounters unseen data patterns, it will either ... -
Enabling machine learning on the edge using SRAM conserving efficient neural networks execution approach
Sudharsan, Bharath; Patel, Pankesh; Breslin, John G.; Ali, Muhammad Intizar (National University of Ireland Galway, 2021-09-13)Edge analytics refers to the application of data analytics and Machine Learning (ML) algorithms on IoT devices. The concept of edge analytics is gaining popularity due to its ability to perform AI-based analytics at the ... -
RCE-NN: a five-stage pipeline to execute neural networks (CNNs) on resource-constrained IoT edge devices
Sudharsan, Bharath; Breslin, John G.; Ali, Muhammad Intizar (Association for Computing Machinery (ACM), 2020-10-06)Microcontroller Units (MCUs) in edge devices are resource constrained due to their limited memory footprint, fewer computation cores, and low clock speeds. These limitations constrain one from deploying and executing machine ... -
A semantic framework for modelling quotes in email conversations
Passant, Alexandre; Zimmermann, Antoine; Schneider, Jodi; Breslin, John G. (2010)Quoting is a common practice in online conversations, notably in email discussions and bulletin boards. Despite many applications that offer special functionalities to handle them, there is no agreement on how to semantically ... -
An SRAM optimized approach for constant memory consumption and ultra-fast execution of ML classifiers on TinyML hardware
Sudharsan, Bharath; Yadav, Piyush; Breslin, John G.; Ali, Muhammad Intizar (Institute of Electrical and Electronics Engineers, 2021-11-15)With the introduction of ultra-low-power machine learning (TinyML), IoT devices are becoming smarter as they are driven by Machine Learning (ML) models. However, any increase in the training data results in a linear ... -
TinyML benchmark: Executing fully connected neural networks on commodity microcontrollers
Sudharsan, Bharath; Salerno, Simone; Nguyen, Duc-Duy; Yahya, Muhammad; Wahid, Abdul; Yadav, Piyush; Breslin, John G. (National University of Ireland Galway, 2021-06-20)Recent advancements in the field of ultra-low-power machine learning (TinyML) promises to unlock an entirely new class of edge applications. However, continued progress is restrained by the lack of benchmarking Machine ... -
Ultra-fast machine learning classifier execution on IoT devices without SRAM consumption
Sudharsan, Bharath; Patel, Pankesh; Breslin, John G.; Ali, Muhammad Intizar (Institute of Electrical and Electronics Engineers (IEEE), 2021-05-25)With the introduction of edge analytics, IoT devices are becoming smart and ready for AI applications. A few modern ML frameworks are focusing on the generation of small-size ML models (often in kBs) that can directly be ...