activity
20172024
most citedExplaining Trained Neural Networks with Semantic Web Technologies: First Steps

28 citations · 37 across the 5 of their papers we have counts for

collaborators

14 papers

cs.AI2024

On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis

Abhilekha Dalal, Rushrukh Rayan, Adrita Barua +3

A major challenge in Explainable AI is in correctly interpreting activations of hidden neurons: accurate interpretations would help answer the question of what a deep learning syst…

cs.LG2023

Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers

Staphord Bengesi, Hoda El-Sayed, Md Kamruzzaman Sarker +3

The launch of ChatGPT has garnered global attention, marking a significant milestone in the field of Generative Artificial Intelligence. While Generative AI has been in effect for…

cs.LG2023

Understanding CNN Hidden Neuron Activations Using Structured Background Knowledge and Deductive Reasoning

Abhilekha Dalal, Md Kamruzzaman Sarker, Adrita Barua +2

A major challenge in Explainable AI is in correctly interpreting activations of hidden neurons: accurate interpretations would provide insights into the question of what a deep lea…

cs.RO2022

A Low-cost Humanoid Prototype Intended to assist people with disability using Raspberry Pi

Md. Nayem Hasan Muntasir, Tariqul Islam Siam, Md. Kamruzzaman Sarker

This paper will try to delineate the making of a Humanoid prototype intended to assist people with disability (PWD). The assistance that this prototype will offer is rather rudimen…

cs.AI2022

Towards Human-Compatible XAI: Explaining Data Differentials with Concept Induction over Background Knowledge

Cara Widmer, Md Kamruzzaman Sarker, Srikanth Nadella +6

Concept induction, which is based on formal logical reasoning over description logics, has been used in ontology engineering in order to create ontology (TBox) axioms from the base…

cs.AI2021

Neuro-Symbolic Artificial Intelligence: Current Trends

Md Kamruzzaman Sarker, Lu Zhou, Aaron Eberhart +1

Neuro-Symbolic Artificial Intelligence -- the combination of symbolic methods with methods that are based on artificial neural networks -- has a long-standing history. In this arti…