:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Yousef, Waleed A.
Format:	Preprint
Published:	2019
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/1906.10019
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Model-agnostic clean-label backdoor mitigation in cybersecurity environments
by: Severi, Giorgio, et al.
Published: (2024)

Unsupervised anomaly detection on cybersecurity data streams: a case with BETH dataset
by: Eremin, Evgeniy
Published: (2025)

Machine learning-based decentralized TDMA for VLC IoT networks
by: Makvandi, Armin, et al.
Published: (2023)

Neuronal Stochastic Attention Circuit (NSAC) for Probabilistic Representation Learning
by: Razzaq, Waleed, et al.
Published: (2026)

FLUID: Continuous-Time Hyperconnected Sparse Transformer for Sink-Free Learning
by: Razzaq, Waleed, et al.
Published: (2026)

CARLE: A Hybrid Deep-Shallow Learning Framework for Robust and Explainable RUL Estimation of Rolling Element Bearings
by: Razzaq, Waleed, et al.
Published: (2025)

Towards the generation of hierarchical attack models from cybersecurity vulnerabilities using language models
by: Sowka, Kacper, et al.
Published: (2024)

Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness
by: Llorca, David Fernández, et al.
Published: (2024)

The Benchmarking Epistemology: Construct Validity for Evaluating Machine Learning Models
by: Freiesleben, Timo, et al.
Published: (2025)

Neuronal Attention Circuit (NAC) for Representation Learning
by: Razzaq, Waleed, et al.
Published: (2025)

Human-In-The-Loop Machine Learning for Safe and Ethical Autonomous Vehicles: Principles, Challenges, and Opportunities
by: Emami, Yousef, et al.
Published: (2024)

Towards eco friendly cybersecurity: machine learning based anomaly detection with carbon and energy metrics
by: Aashish, KC, et al.
Published: (2025)

Assemblage: Automatic Binary Dataset Construction for Machine Learning
by: Liu, Chang, et al.
Published: (2024)

Dendron: Enhancing Human Activity Recognition with On-Device TinyML Learning
by: Shalby, Hazem Hesham Yousef, et al.
Published: (2025)

Mono-Forward: Revisiting Forward-Forward through Objective-Locality Decomposition
by: Gong, James, et al.
Published: (2025)

Cloning Ideology and Style using Deep Learning
by: Beg, Omer, et al.
Published: (2022)

Integrated BIM and Machine Learning System for Circularity Prediction of Construction Demolition Waste
by: Saka, Abdullahi, et al.
Published: (2024)

Constructing and Machine Learning Calabi-Yau Five-folds
by: Alawadhi, R., et al.
Published: (2023)

A Novel Multimodal RUL Framework for Remaining Useful Life Estimation with Layer-wise Explanations
by: Razzaq, Waleed, et al.
Published: (2025)

Developing Distance-Aware, and Evident Uncertainty Quantification in Dynamic Physics-Constrained Neural Networks for Robust Bearing Degradation Estimation
by: Razzaq, Waleed, et al.
Published: (2025)

Adversarial Jamming for Autoencoder Distribution Matching
by: El-Geresy, Waleed, et al.
Published: (2025)

Feature Construction Using Network Control Theory and Rank Encoding for Graph Machine Learning
by: Said, Anwar, et al.
Published: (2025)

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box
by: Laubmann, Julia, et al.
Published: (2025)

Learning multi-phase flow and transport in fractured porous media with auto-regressive and recurrent graph neural networks
by: Kobaisi, Mohammed Al, et al.
Published: (2025)

A Transformer-based Autoregressive Decoder Architecture for Hierarchical Text Classification
by: Yousef, Younes, et al.
Published: (2025)

A Granular Framework for Construction Material Price Forecasting: Econometric and Machine-Learning Approaches
by: Lyu, Boge, et al.
Published: (2025)

Weak Form Scientific Machine Learning: Test Function Construction for System Identification
by: Tran, April, et al.
Published: (2025)

Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey
by: Gu, Yang, et al.
Published: (2024)

Machine Learning: Progress and Prospects
by: Gammerman, Alexander
Published: (2025)

Reinforcement Learning-based Task Offloading in the Internet of Wearable Things
by: Qaim, Waleed Bin, et al.
Published: (2025)

A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming
by: Radwan, Yousef A., et al.
Published: (2024)

Neural Stochastic Differential Equations with Change Points: A Generative Adversarial Approach
by: Sun, Zhongchang, et al.
Published: (2023)

Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning
by: Winderl, David, et al.
Published: (2024)

TUBO: A Tailored ML Framework for Reliable Network Traffic Forecasting
by: Yuan, Zhihang, et al.
Published: (2026)

Continual Neural Topic Model
by: James, Charu Karakkaparambil, et al.
Published: (2025)

An LLM-Guided Query-Aware Inference System for GNN Models on Large Knowledge Graphs
by: Afandi, Waleed, et al.
Published: (2026)

Defending Diffusion Models Against Membership Inference Attacks via Higher-Order Langevin Dynamics
by: Sterling, Benjamin, et al.
Published: (2025)

From Memorization to Creativity: LLM as a Designer of Novel Neural Architectures
by: Khalid, Waleed, et al.
Published: (2026)

FedSiKD: Clients Similarity and Knowledge Distillation: Addressing Non-i.i.d. and Constraints in Federated Learning
by: Alsenani, Yousef, et al.
Published: (2024)

Automated Machine Learning for Positive-Unlabelled Learning
by: Saunders, Jack D., et al.
Published: (2024)