Zobrazeno 1 - 10
of 3 103
pro vyhledávání: '"A. Izza"'
Autor:
Izza, Yacine, Marques-Silva, Joao
Recent work revealed a tight connection between adversarial robustness and restricted forms of symbolic explanations, namely distance-based (formal) explanations. This connection is significant because it represents a first step towards making the co
Externí odkaz:
http://arxiv.org/abs/2412.18262
Autor:
Izza, Yacine, Huang, Xuanxiang, Morgado, Antonio, Planes, Jordi, Ignatiev, Alexey, Marques-Silva, Joao
The uses of machine learning (ML) have snowballed in recent years. In many cases, ML models are highly complex, and their operation is beyond the understanding of human decision-makers. Nevertheless, some uses of ML models involve high-stakes and saf
Externí odkaz:
http://arxiv.org/abs/2405.08297
Explainable Artificial Intelligence (XAI) is widely regarding as a cornerstone of trustworthy AI. Unfortunately, most work on XAI offers no guarantees of rigor. In high-stakes domains, e.g. uses of AI that impact humans, the lack of rigor of explanat
Externí odkaz:
http://arxiv.org/abs/2312.11831
Autor:
Izza, Yacine, Marques-Silva, Joao
Robustness is widely regarded as a fundamental problem in the analysis of machine learning (ML) models. Most often robustness equates with deciding the non-existence of adversarial examples, where adversarial examples denote situations where small ch
Externí odkaz:
http://arxiv.org/abs/2312.10911
Publikováno v:
JIET (Jurnal Ilmu Ekonomi Terapan), Vol 9, Iss 2, Pp 201-220 (2024)
This study aims to examine the impact of risk management and profitability on the stability of conventional and Islamic commercial banks in Indonesia and to assess whether yield can moderate this effect. The research analyzes data from Indonesian Sha
Externí odkaz:
https://doaj.org/article/4eb24095260247e8bdfc3644ca6dee96
The recent criticisms of the robustness of post hoc model approximation explanation methods (like LIME and SHAP) have led to the rise of model-precise abductive explanations. For each data point, abductive explanations provide a minimal subset of fea
Externí odkaz:
http://arxiv.org/abs/2310.03131
In the quest for Explainable Artificial Intelligence (XAI) one of the questions that frequently arises given a decision made by an AI system is, ``why was the decision made in this way?'' Formal approaches to explainability build a formal model of th
Externí odkaz:
http://arxiv.org/abs/2306.15272
Autor:
Wajdi Rajhi, Noreen Izza Arshad, Naoufel Kraiem, Ahmed Mir, Lioua Kolsi, Ahmad H. Milyani, Mohammed N. Ajour, Hesham A. Alhumade, Aliakbar Karimipour
Publikováno v:
Case Studies in Thermal Engineering, Vol 65, Iss , Pp 105578- (2025)
In hot and desert regions, buildings have a considerable share in electricity consumption, so supplying electricity in critical hours for building cooling is always challenging for the electricity supply grid. In this numerical study, using sensible
Externí odkaz:
https://doaj.org/article/7a9f4d75a49f45e1bfa951f58b146e14
Autor:
Azka Khan Durrani, Momina Khalid, Awais Raza, Izza Faiz ul Rasool, Waseem Khalid, Muhammad Nadeem Akhtar, Ammar Ahmad Khan, Zunair Abdullah, Babirye Khadijah
Publikováno v:
CyTA - Journal of Food, Vol 22, Iss 1 (2024)
β-sitosterol is waxy substance, white in color distributed in a variety of natural plant sources cereals, pulses, legumes, vegetables, fruits, and herbs. Several clinical and preclinical investigations indicate that β-sitosterol has a wide range of
Externí odkaz:
https://doaj.org/article/2ab97f09d84d4afe9d0875cb4992cdb7
Publikováno v:
PeerJ Computer Science, Vol 10, p e2572 (2024)
Background Student dropout rates are one of the major concerns of educational institutions because they affect the success and efficacy of them. In order to help students continue their learning and achieve a better future, there is a need to identif
Externí odkaz:
https://doaj.org/article/9d2b3f9b9fd04d50934940df676e1797