84 citations
- Damghan UniversityIR40 papers
- Eastern Mediterranean UniversityCY26 papers
- Universidade Federal da ParaíbaBR20 papers
- Universidade Federal de Campina GrandeBR19 papers
- Zhejiang Normal UniversityCN17 papers
- Babeș-Bolyai UniversityRO14 papers
- Chitkara UniversityIN14 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di NapoliIT12 papers
- Scuola Superiore MeridionaleIT11 papers
- Tashkent State Technical University named after Islam KarimovUZ11 papers
- University of Hradec KrálovéCZ11 papers
- University of LahorePK11 papers
4 papers · 1 filter
On shallow feedforward neural networks with inputs from a topological space
Vugar Ismailov
We study feedforward neural networks with inputs from a topological space (TFNNs). We prove a universal approximation theorem for shallow TFNNs, which demonstrates their capacity t…
Effective Predictive Modeling for Emergency Department Visits and Evaluating Exogenous Variables Impact: Using Explainable Meta-learning Gradient Boosting
Mehdi Neshat, Michael Phipps, Nikhil Jha +3
Over an extensive duration, administrators and clinicians have endeavoured to predict Emergency Department (ED) visits with precision, aiming to optimise resource distribution. Des…
Addressing common misinterpretations of KART and UAT in neural network literature
Vugar Ismailov
This note addresses the Kolmogorov-Arnold Representation Theorem (KART) and the Universal Approximation Theorem (UAT), focusing on their frequent misinterpretations found in the ne…
Unveiling the frontiers of deep learning: innovations shaping diverse domains
Shams Forruque Ahmed, Md. Sakib Bin Alam, Maliha Kabir +4
Deep learning (DL) allows computer models to learn, visualize, optimize, refine, and predict data. To understand its present state, examining the most recent advancements and appli…