Search Results for author:
Found 14 papers, 6 papers with code
DAAI at CASE 2021 Task 1: Transformer-based Multilingual Socio-political and Crisis Event Detection
Automatic socio-political and crisis event detection has been a challenge for natural language processing as well as social and political science communities, due to the diversity and nuance in such events and high accuracy requirements.
ABCO: Adaptive Bacterial Colony Optimisation
The performance of the proposed ABCO algorithm is compared to that of established optimisation algorithms--particle swarm optimisation (PSO) and ant colony optimisation (ACO)--on a set of benchmark functions.
PAIR: A Novel Large Language Model-Guided Selection Strategy for Evolutionary Algorithms
Evolutionary Algorithms (EAs) employ random or simplistic selection methods, limiting their exploration of solution spaces and convergence to optimal solutions.
The dynamics of meaning through time: Assessment of Large Language Models
Understanding how large language models (LLMs) grasp the historical context of concepts and their semantic evolution is essential in advancing artificial intelligence and linguistic studies.
CODE-ACCORD: A Corpus of Building Regulatory Data for Rule Generation towards Automatic Compliance Checking
Automatic Compliance Checking (ACC) within the Architecture, Engineering, and Construction (AEC) sector necessitates automating the interpretation of building regulations to achieve its full potential.
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification
It exploits the high sensitivity to the multi-level contextual information using an uncertainty quantification component to accomplish a novel dynamic ensemble model. MCUamodelhas achieved a high accuracy of 98. 11% on a breast cancer histology image dataset.
Breast Cancer Histology Image Classification
Classification
+3
Embed2Detect: Temporally Clustered Embedded Words for Event Detection in Social Media
Social media is becoming a primary medium to discuss what is happening around the world.
Co-eye: A Multi-resolution Symbolic Representation to TimeSeries Diversified Ensemble Classification
The developed technique similarly uses different lenses and representations to look at the time series, and then combines them for broader visibility.
DeepStreamCE: A Streaming Approach to Concept Evolution Detection in Deep Neural Networks
For comparison, we apply the data and VGG16 networks to an open-set deep network solution - OpenMax.
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
Due to the high availability of large-scale annotated image datasets, great success has been achieved using convolutional neural networks (CNNs) for image recognition and classification.
A Heuristically Modified FP-Tree for Ontology Learning with Applications in Education
Subject experts rated the quality of the system's answers on a subset of questions and their ratings were used to identify the most appropriate automatic semantic text similarity metric to use as a validation metric for all answers.
EnSyth: A Pruning Approach to Synthesis of Deep Learning Ensembles
In this paper, we describe EnSyth, a deep learning ensemble approach to enhance the predictability of compact neural network's models.
AnyThreat: An Opportunistic Knowledge Discovery Approach to Insider Threat Detection
To address this shortcoming, we propose an opportunistic knowledge discovery system, namely AnyThreat, with the aim to detect any anomalous behaviour in all malicious insider threats.
A Survey of Data Mining Techniques for Social Media Analysis
Data mining techniques are used for information retrieval, statistical modelling and machine learning.
