8 citations · 23 across the 24 of their papers we have counts for
24 papers
VASAE: Naming SAE Dictionary Directions with Vocabulary-Aligned Anchoring
Kairui Zhang, Ziwen Yu, Zahraa S. Abdallah +1
Sparse autoencoders (SAEs) provide useful decompositions of Transformer residual streams, but their learned features are usually named post hoc rather than directly connected to th…
Exposure Bias as Epistemic Underidentification in Recursive Forecasting
Riku Green, Zahraa S. Abdallah, Telmo M Silva Filho
Recursive multi-step forecasting is usually framed as distribution shift: models are trained on observed histories but deployed on their own predictions. We show this framing is in…
Expectations vs. Realities: The Cost of MSE-Optimal Forecasting Under Conditional Uncertainty
Riku Green, Zahraa S. Abdallah, Telmo M Silva Filho
Multi-step time series forecasting (MSF) is commonly evaluated using point-wise error metrics such as mean squared error (MSE), implicitly treating the conditional mean as a suffic…
A Regime-Aware Fusion Framework for Time Series Classification
Honey Singh Chauhan, Zahraa S. Abdallah
Kernel-based methods such as Rocket are among the most effective default approaches for univariate time series classification (TSC), yet they do not perform equally well across all…
BrisT1D Dataset: Young Adults with Type 1 Diabetes in the UK using Smartwatches
Sam Gordon James, Miranda Elaine Glynis Armstrong, Aisling Ann O'Kane +2
Background: Type 1 diabetes (T1D) has seen a rapid evolution in management technology and forms a useful case study for the future management of other chronic conditions. Further d…
Establishing Validity for Distance Functions and Internal Clustering Validity Indices in Correlation Space
Isabella Degen, Zahraa S Abdallah, Kate Robson Brown +1
Internal clustering validity indices (ICVIs) assess clustering quality without ground truth labels. Comparative studies consistently find that no single ICVI outperforms others acr…
CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering
Isabella Degen, Zahraa S Abdallah, Henry W J Reeve +1
Time series clustering promises to uncover hidden structural patterns in data with applications across healthcare, finance, industrial systems, and other critical domains. However,…
KnowEEG: Explainable Knowledge Driven EEG Classification
Amarpal Sahota, Navid Mohammadi Foumani, Raul Santos-Rodriguez +1
Electroencephalography (EEG) classification has shown significant promise in applications ranging from neurodegenerative disease detection to brain-computer interfaces (BCIs). Whil…
Towards deployment-centric multimodal AI beyond vision and language
Xianyuan Liu, Jiayang Zhang, Shuo Zhou +45
Multimodal artificial intelligence (AI) integrates diverse types of data via machine learning to improve understanding, prediction, and decision-making across disciplines such as h…
Investigating Brain Connectivity and Regional Statistics from EEG for early stage Parkinson's Classification
Amarpal Sahota, Amber Roguski, Matthew W Jones +2
We evaluate the effectiveness of combining brain connectivity metrics with signal statistics for early stage Parkinson's Disease (PD) classification using electroencephalogram data…
FluxGAT: Integrating Flux Sampling with Graph Neural Networks for Unbiased Gene Essentiality Classification
Kieren Sharma, Lucia Marucci, Zahraa S. Abdallah
Gene essentiality, the necessity of a specific gene for the survival of an organism, is crucial to our understanding of cellular processes and identifying drug targets. Experimenta…
Time-Series Classification for Dynamic Strategies in Multi-Step Forecasting
Riku Green, Grant Stevens, Telmo de Menezes e Silva Filho +1
Multi-step forecasting (MSF) in time-series, the ability to make predictions multiple time steps into the future, is fundamental to almost all temporal domains. To make such foreca…
Stability for an interface transmission problem of wave-plate equations with dynamical boundary controls
Zahraa Abdallah, Stéphane Gerbi, Chiraz Kassem +1
We investigate a two-dimensional transmission model consisting of a wave equation and a Kirchhoff plate equation with dynamical boundary controls under geometric conditions. The tw…
RED CoMETS: An ensemble classifier for symbolically represented multivariate time series
Luca A. Bennett, Zahraa S. Abdallah
Multivariate time series classification is a rapidly growing research field with practical applications in finance, healthcare, engineering, and more. The complexity of classifying…
Transfer Learning and Class Decomposition for Detecting the Cognitive Decline of Alzheimer Disease
Maha M. Alwuthaynani, Zahraa S. Abdallah, Raul Santos-Rodriguez
Early diagnosis of Alzheimer's disease (AD) is essential in preventing the disease's progression. Therefore, detecting AD from neuroimaging data such as structural magnetic resonan…
Interpretable Classification of Early Stage Parkinson's Disease from EEG
Amarpal Sahota, Amber Roguski, Matthew W. Jones +4
Detecting Parkinson's Disease in its early stages using EEG data presents a significant challenge. This paper introduces a novel approach, representing EEG data as a 15-variate ser…
Temporal patterns in insulin needs for Type 1 diabetes
Isabella Degen, Zahraa S. Abdallah
Type 1 Diabetes (T1D) is a chronic condition where the body produces little or no insulin, a hormone required for the cells to use blood glucose (BG) for energy and to regulate BG…
Understandable Controller Extraction from Video Observations of Swarms
Khulud Alharthi, Zahraa S Abdallah, Sabine Hauert
Swarm behavior emerges from the local interaction of agents and their environment often encoded as simple rules. Extracting the rules by watching a video of the overall swarm behav…
IMG-NILM: A Deep learning NILM approach using energy heatmaps
Jonah Edmonds, Zahraa S. Abdallah
Energy disaggregation estimates appliance-by-appliance electricity consumption from a single meter that measures the whole home's electricity demand. Compared with intrusive load m…
Investigating Temporal Convolutional Neural Networks for Satellite Image Time Series Classification: A survey
James Brock, Zahraa S. Abdallah
Satellite Image Time Series (SITS) of the Earth's surface provide detailed land cover maps, with their quality in the spatial and temporal dimensions consistently improving. These…
Transfer Learning Approach for Detecting Psychological Distress in Brexit Tweets
Sean-Kelly Palicki, Shereen Fouad, Mariam Adedoyin-Olowe +1
In 2016, United Kingdom (UK) citizens voted to leave the European Union (EU), which was officially implemented in 2020. During this period, UK residents experienced a great deal of…
Co-eye: A Multi-resolution Symbolic Representation to TimeSeries Diversified Ensemble Classification
Zahraa S. Abdallah, Mohamed Medhat Gaber
Time series classification (TSC) is a challenging task that attracted many researchers in the last few years. One main challenge in TSC is the diversity of domains where time serie…
DeepStreamCE: A Streaming Approach to Concept Evolution Detection in Deep Neural Networks
Lorraine Chambers, Mohamed Medhat Gaber, Zahraa S. Abdallah
Deep neural networks have experimentally demonstrated superior performance over other machine learning approaches in decision-making predictions. However, one major concern is the…
Effect of Hyper-Parameter Optimization on the Deep Learning Model Proposed for Distributed Attack Detection in Internet of Things Environment
Md Mohaimenuzzaman, Zahraa Said Abdallah, Joarder Kamruzzaman +1
This paper studies the effect of various hyper-parameters and their selection for the best performance of the deep learning model proposed in [1] for distributed attack detection i…