1 citations · 1 across the 8 of their papers we have counts for
9 papers
Q(): Entropy-Guided Horizon Mixing in Multi-Discount Q-Learning
Arwa Albelaihi, Abdulrahman Altahhan
A fixed discount factor in Q-learning imposes a single planning horizon throughout training, despite the differing demands of early exploration and long-term credit assignment. We…
Landmark Detection for Medical Images using a General-purpose Segmentation Model
Ekaterina Stansfield, Jennifer A. Mitterer, Abdulrahman Altahhan
Radiographic images are a cornerstone of medical diagnostics in orthopaedics, with anatomical landmark detection serving as a crucial intermediate step for information extraction.…
Achieving 3D Attention via Triplet Squeeze and Excitation Block
Maan Alhazmi, Abdulrahman Altahhan
The emergence of ConvNeXt and its variants has reaffirmed the conceptual and structural suitability of CNN-based models for vision tasks, re-establishing them as key players in ima…
True Online TD-Replan(lambda) Achieving Planning through Replaying
Abdulrahman Altahhan
In this paper, we develop a new planning method that extends the capabilities of the true online TD to allow an agent to efficiently replay all or part of its past experience, onli…
TreeCoders: Trees of Transformers
Pierre Colonna D'Istria, Abdulrahman Altahhan
In this paper, we introduce TreeCoders, a novel family of transformer trees. We moved away from traditional linear transformers to complete k-ary trees. Transformer blocks serve as…
Emotion Recognition with Facial Attention and Objective Activation Functions
Andrzej Miskow, Abdulrahman Altahhan
In this paper, we study the effect of introducing channel and spatial attention mechanisms, namely SEN-Net, ECA-Net, and CBAM, to existing CNN vision-based models such as VGGNet, R…
A Comparison of Baseline Models and a Transformer Network for SOC Prediction in Lithium-Ion Batteries
Hadeel Aboueidah, Abdulrahman Altahhan
Accurately predicting the state of charge of Lithium-ion batteries is essential to the performance of battery management systems of electric vehicles. One of the main reasons for t…
Mitigating Vanishing Activations in Deep CapsNets Using Channel Pruning
Siddharth Sahu, Abdulrahman Altahhan
Capsule Networks outperform Convolutional Neural Networks in learning the part-whole relationships with viewpoint invariance, and the credit goes to their multidimensional capsules…
A Neural Network Alternative to Tree-based Models
Salvatore Raieli, Nathalie Jeanray, Stéphane Gerart +2
Tabular datasets are widely used in scientific disciplines such as biology. While these disciplines have already adopted AI methods to enhance their findings and analysis, they mai…