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Koorosh Aslansefat
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2020 – today
- 2024
- [j5]Koorosh Aslansefat
, Mojgan Hashemian
Explaining Black Boxes With a SMILE: Statistical Model-Agnostic Interpretability With Local Explanations. IEEE Softw. 41(1): 87-97 (2024) - [i10]Connor Walker, Callum Rothon, Koorosh Aslansefat, Yiannis Papadopoulos, Nina Dethlefs:
SafeLLM: Domain-Specific Safety Monitoring for Large Language Models: A Case Study of Offshore Wind Maintenance. CoRR abs/2410.10852 (2024) - [i9]Seyed Mohammad Ahmadi, Koorosh Aslansefat, Rubén Valcarce-Diñeiro, Joshua Barnfather:
Explainability of Point Cloud Neural Networks Using SMILE: Statistical Model-Agnostic Interpretability with Local Explanations. CoRR abs/2410.15374 (2024) - 2023
- [i8]Koorosh Aslansefat, Mojgan Hashemian, Martin Walker
Explaining black boxes with a SMILE: Statistical Model-agnostic Interpretability with Local Explanations. CoRR abs/2311.07286 (2023) - [i7]Al-Harith Farhad, Ioannis Sorokos, Mohammed Naveed Akram, Koorosh Aslansefat, Daniel Schneider:
Scope Compliance Uncertainty Estimate. CoRR abs/2312.10801 (2023) - 2022
- [c11]Lucas Bressan, André Luíz de Oliveira, Fernanda C. A. Campos, Leonardo Montecchi, Rafael Capilla, David Parker, Koorosh Aslansefat, Yiannis Papadopoulos:
Modeling the Variability of System Safety Analysis Using State-Machine Diagrams. IMBSA 2022: 43-59 - [c10]Connor Walker
A Deep Learning Framework for Wind Turbine Repair Action Prediction Using Alarm Sequences and Long Short Term Memory Algorithms. IMBSA 2022: 189-203 - [c9]Al-Harith Farhad
Keep Your Distance: Determining Sampling and Distance Thresholds in Machine Learning Monitoring. IMBSA 2022: 219-234 - [c8]Koorosh Aslansefat, Panagiota Nikolaou, Martin Walker
SafeDrones: Real-Time Reliability Evaluation of UAVs Using Executable Digital Dependable Identities. IMBSA 2022: 252-266 - [c7]Mohammed Naveed Akram
StaDRe and StaDRo: Reliability and Robustness Estimation of ML-Based Forecasting Using Statistical Distance Measures. SAFECOMP Workshops 2022: 289-301 - [d1]Koorosh Aslansefat
Aircraft Fuel Distribution System. IEEE DataPort, 2022 - [i6]Mohammed Naveed Akram, Akshatha Ambekar, Ioannis Sorokos, Koorosh Aslansefat, Daniel Schneider:
StaDRe and StaDRo: Reliability and Robustness Estimation of ML-based Forecasting using Statistical Distance Measures. CoRR abs/2206.11116 (2022) - [i5]Al-Harith Farhad, Ioannis Sorokos, Andreas Schmidt, Mohammed Naveed Akram, Koorosh Aslansefat, Daniel Schneider:
Keep your Distance: Determining Sampling and Distance Thresholds in Machine Learning Monitoring. CoRR abs/2207.05078 (2022) - [i4]Koorosh Aslansefat, Panagiota Nikolaou, Martin Walker
SafeDrones: Real-Time Reliability Evaluation of UAVs using Executable Digital Dependable Identities. CoRR abs/2207.05643 (2022) - [i3]Connor Walker, Callum Rothon, Koorosh Aslansefat, Yiannis Papadopoulos, Nina Dethlefs:
A Deep Learning Framework for Wind Turbine Repair Action Prediction Using Alarm Sequences and Long Short Term Memory Algorithms. CoRR abs/2207.09457 (2022) - [i2]Sohag Kabir, Koorosh Aslansefat, Prosanta Gope, Felician Campean
Online Dynamic Reliability Evaluation of Wind Turbines based on Drone-assisted Monitoring. CoRR abs/2211.13258 (2022) - 2021
- [j4]Koorosh Aslansefat
Toward Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition Systems. Computer 54(8): 66-76 (2021) - 2020
- [j3]Sohag Kabir
A Hybrid Modular Approach for Dynamic Fault Tree Analysis. IEEE Access 8: 97175-97188 (2020) - [j2]Koorosh Aslansefat
A Hierarchical Approach for Dynamic Fault Trees Solution Through Semi-Markov Process. IEEE Trans. Reliab. 69(3): 986-1003 (2020) - [c6]Koorosh Aslansefat, Gholamreza Latif Shabgahi, Mehrdad Mohammadi:
Reliability Evaluation of Reconfigurable NMR Architecture Supported with Hot Standby Spare: Markov Modeling and Formulation. IMBSA 2020: 53-67 - [c5]Koorosh Aslansefat
SafeML: Safety Monitoring of Machine Learning Classifiers Through Statistical Difference Measures. IMBSA 2020: 197-211 - [i1]Koorosh Aslansefat, Ioannis Sorokos, Declan Whiting, Ramin Tavakoli Kolagari, Yiannis Papadopoulos:
SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measure. CoRR abs/2005.13166 (2020)
2010 – 2019
- 2019
- [j1]Youcef Gheraibia, Sohag Kabir
Safety + AI: A Novel Approach to Update Safety Models Using Artificial Intelligence. IEEE Access 7: 135855-135869 (2019) - [c4]Koorosh Aslansefat
A Markov Process-Based Approach for Reliability Evaluation of the Propulsion System in Multi-rotor Drones. DoCEIS 2019: 91-98 - [c3]Sohag Kabir, Koorosh Aslansefat
A Conceptual Framework to Incorporate Complex Basic Events in HiP-HOPS. IMBSA 2019: 109-124 - [c2]Sohag Kabir, Ioannis Sorokos, Koorosh Aslansefat, Yiannis Papadopoulos, Youcef Gheraibia, Jan Reich
A Runtime Safety Analysis Concept for Open Adaptive Systems. IMBSA 2019: 332-346 - [e1]Yiannis Papadopoulos, Koorosh Aslansefat
Model-Based Safety and Assessment - 6th International Symposium, IMBSA 2019, Thessaloniki, Greece, October 16-18, 2019, Proceedings. Lecture Notes in Computer Science 11842, Springer 2019, ISBN 978-3-030-32871-9 [contents] - 2018
- [c1]Koorosh Aslansefat
Resilience Supported System for Innovative Water Monitoring Technology. DoCEIS 2018: 73-80
Coauthor Index
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