Kary Främling

Adjunct Professor
Adjunct Professor
T307 Dept. Industrial Engineering and Management
Full researcher profile
https://research.aalto.fi/...

Areas of expertise

Internet of Things, Intelligent products, Reinforcement learning, Explainable AI, Building Information Modelling

Honors and awards

Highly Commended Award of Emerald Literati Club

Award or honor granted for a specific work Department of Computer Science Jan 2002

Publications

A Functionally-Grounded Benchmark Framework for XAI Methods : Insights and Foundations from a Systematic Literature Review

Dulce Canha, Sylvain Kubler, Kary Främling, Guy Fagherazzi 2025 ACM Computing Surveys

Social Explainable AI: What Is It and How to Make It Happen with CIU?

Kary Främling 2025 Explainable, Trustworthy, and Responsible AI and Multi-Agent Systems - 7th International Workshop, EXTRAAMAS 2025, Revised Selected Papers

Generating Explanations for Molecular Property Predictions in Graph Neural Networks

Avleen Malhi, John Patrice Matekenya, Käry Främling 2025 Advances in Explainability, Agents, and Large Language Models

py_ciu_image : A Python Library for Explaining Image Classification with Contextual Importance and Utility

Kary Främling, Ioan Vlad Apopei, Gustav Grund Pihlgren, Avleen Malhi 2024 Explainable and Transparent AI and Multi-Agent Systems - 6th International Workshop, EXTRAAMAS 2024, Revised Selected Papers

Machine Learning Applications for Smart Building Energy Utilization: A Survey

Matti Huotari, Kary Främling, Avleen Malhi 2024 Archives of Computational Methods in Engineering

Counterfactual, Contrastive, and Hierarchical Explanations with Contextual Importance and Utility

Kary Främling 2023 Explainable and Transparent AI and Multi-Agent Systems - 5th International Workshop, EXTRAAMAS 2023, Revised Selected Papers

Feature Importance versus Feature Influence and What It Signifies for Explainable AI

Kary Främling 2023 Explainable Artificial Intelligence - 1st World Conference, xAI 2023, 2023, Proceedings

An Evaluation of Contextual Importance and Utility for Outcome Explanation of Black-Box Predictions for Medical Datasets

Avleen Malhi, Kary Främling 2023 Explainable Artificial Intelligence - 1st World Conference, xAI 2023, 2023, Proceedings

Understanding Unsupervised Learning Explanations Using Contextual Importance and Utility

Avleen Malhi, Vlad Apopei, Kary Främling 2023 Explainable Artificial Intelligence - 1st World Conference, xAI 2023, 2023, Proceedings

A Comprehensive Security Architecture for Information Management throughout the Lifecycle of IoT Products

Narges Yousefnezhad, Avleen Malhi, Tuomas Keyriläinen, Kary Främling 2023 Sensors