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Umeå universitet
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Huvudmenyn dold.
Personalbild Kary Främling

Kary Främling

Jag är professor i datavetenskap med inriktning mot dataanalys och maskininlärning. Ledare för Explainable AI-gruppen.
WASP-professor (Wallenberg AI, Autonomous Systems and Software Program) 

Kontakt

E-post
kary.framling@umu.se
Telefon

Verksam vid

Anknytning
Professor vid Institutionen för datavetenskap
Plats
MIT-huset, Umeå universitet, MIT.E.241 Umeå universitet, 901 87 Umeå

Min huvudsakliga forskning vid Umeå universitet fokuserar på Explainable Artificial intelligence (XAI) och särskilt på så kallad "utfallsförklaring", det vill säga att förklara och/eller motivera resultat, handlingar eller rekommendationer från någon form av AI-system, inklusive (djupa eller inte) neurala nätverk. En huvudsaklig teknik är metoden Contextual Importance and Utility (CIU) som jag utvecklade under min doktorsavhandling 1991–1996.  

Under 2000–2018 var ämnen som intelligenta produkter, sakernas internet, digital tvilling (eller virtuell motpart/produktagent) och system-av-system mina huvudsakliga forskningsområden. Min forskning på XAI upprätthåller en stark koppling till dessa domäner, det vill säga för att möjliggöra användning av AI i vardagslivet och i vardagliga produkter. För att säkerställa att AI förblir "humant" är det avgörande att AI-systemen ska kunna kommunicera orsakerna till sina handlingar och avsikter på ett sätt som är förståeligt för olika slutanvändare och lämpligt för den verkliga situationen. 

Explainable and Transparent AI and Multi-Agent Systems: 6th International Workshop, EXTRAAMAS 2024, Auckland, New Zealand, May 6–10, 2024, Revised Selected Papers
Lecture Notes in Computer Science, 14847
Calvaresi, Davide; Najjar, Amro; Omicini, Andrea; et al.
Preface
Explainable and transparent AI and multi-agent systems: 6th international workshop, EXTRAAMAS 2024, Auckland, New Zealand, May 6–10, 2024, revised selected papers, Cham: Springer 2024 : v-v
Calvaresi, Davide; Najjar, Amro; Omicini, Andrea; et al.
Contextual importance and utility in python: new functionality and insights with the py-ciu package
XAI 2024 Workshop of 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), Jeju, South Corea
Främling, Kary
py_ciu_image: a python library for explaining image classification with contextual importance and utility
Explainable and transparent AI and multi-agent systems: 6th international workshop, EXTRAAMAS 2024, Auckland, New Zealand, May 6–10, 2024, revised selected papers, Cham: Springer 2024 : 184-188
Främling, Kary; Apopei, Ioan-Vlad; Grund Pihlgren, Gustav; et al.
Machine learning applications for smart building energy utilization: a survey
Archives of Computational Methods in Engineering, Springer Nature 2024, Vol. 31, (5) : 2537-2556
Huotari, Matti; Malhi, Avleen; Främling, Kary
Preface
Explainable and transparent ai and multi-agent systems: 5th international workshop, EXTRAAMAS 2023, London, UK, May 29, 2023, revised selected papers, Springer Science+Business Media B.V. 2023 : VI-VI
Calvaresi, Davide; Omicini, Andrea; Najjar, Amro; et al.
Counterfactual, contrastive, and hierarchical explanations with contextual importance and utility
Explainable and transparent ai and multi-agent systems: 5th international workshop, EXTRAAMAS 2023, London, UK, May 29, 2023, revised selected papers, Springer Nature 2023 : 180-184
Främling, Kary
Feature importance versus feature influence and what it signifies for explainable AI
Explainable artificial intelligence: first world conference, xAI 2023 Lisbon, Portugal, July 26– 28, 2023 proceedings, part I, Cham: Springer Nature 2023 : 241-259
Främling, Kary
Social Explainable AI: Designing multimodal and interactive communication to tailor human–AI collaborations
NII Shonan Meeting Report, 200
Främling, Kary; Lim, Brian; Katharina, Rohlfing
Understanding unsupervised learning explanations using contextual importance and utility
Explainable artificial intelligence: First world conference, xAI 2023, Lisbon, Portugal, july 26-28, 2023, proceedings, part I, Springer Nature 2023 : 606-617
Malhi, Avleen; Apopei, Vlad; Främling, Kary
An evaluation of contextual importance and utility for outcome explanation of black-box predictions for medical datasets
Explainable artificial intelligence: First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part I, Springer Nature 2023 : 544-557
Malhi, Avleen; Främling, Kary
IoT open messaging standards: performance comparison with MQTT and CoAP protocols
Proceedings - 2023 International Conference on Future Internet of Things and Cloud, FiCloud 2023, Institute of Electrical and Electronics Engineers (IEEE) 2023 : 130-135
Malhi, Avleen; Javed, Asad; Yousefnezhad, Narges; et al.
Do intermediate feature coalitions aid explainability of black-box models?
Explainable Artificial Intelligence: First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part I, Cham: Springer 2023 : 115-130
Patil, Minal; Främling, Kary
Improving Neural Network Verification Efficiency Through Perturbation Refinement
Artificial Neural Networksand Machine Learning – ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part I, Springer 2023 : 504-515
Patil, Minal Suresh; Främling, Kary
Investigating lipschitz constants in neural ensemble models to improve adversarial robustness
ICSRS 2023: 7th international conference on system reliability and safety, Institute of Electrical and Electronics Engineers (IEEE) 2023 : 434-438
Patil, Minal Suresh; Främling, Kary
A comprehensive security architecture for information management throughout the lifecycle of IoT products
Sensors, MDPI 2023, Vol. 23, (6)
Yousefnezhad, Narges; Malhi, Avleen; Keyriläinen, Tuomas; et al.
Preface
Explainable and transparent AI and multi-agent systems: 4th International Workshop, EXTRAAMAS 2022, Virtual Event, May 9–10, 2022, Revised Selected Papers, Springer Nature 2022 : vi-vi
Calvaresi, Davide; Najjar, Amro; Winikoff, Michael; et al.
CN-waterfall: a deep convolutional neural network for multimodal physiological affect detection
Neural Computing & Applications, Springer 2022, Vol. 34, (3) : 2157-2176
Fouladgar, Nazanin; Alirezaie, Marjan; Främling, Kary
Metrics and Evaluations of Time Series Explanations: An Application in Affect Computing
IEEE Access, IEEE 2022, Vol. 10 : 23995-24009
Fouladgar, Nazanin; Alirezaie, Marjan; Främling, Kary
Contextual importance and utility: a theoretical foundation
AI 2021: Advances in Artificial Intelligence: 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2–4, 2022, Proceedings, Cham: Springer Nature 2022 : 117-128
Främling, Kary
Critical study of the applicability of additional IAQ sensors in older buildings
Intelligent Buildings International, Taylor & Francis 2022, Vol. 14, (6) : 753-765
Halmetoja, Esa; Salonen, Heidi; Ihasalo, Heikki; et al.
Event Classification with Imbalanced and Missing Data for an Air-Handling Unit
2022 IEEE 5th International Conference on Big Data and Artificial Intelligence (BDAI), IEEE 2022 : 82-86
Huotari, Matti; Främling, Kary
Smartphone based grape leaf disease diagnosis and remedial system assisted with explanations
Explainable and transparent AI and multi-agent systems: 4th international workshop, EXTRAAMAS 2022, virtual event, May 9–10, 2022, revised selected papers, Springer Nature 2022 : 57-71
Malhi, Avleen; Apopei, Vlad; Madhikermi, Manik; et al.
Air Handling Unit Explainability Using Contextual Importance and Utility
Mobile and Ubiquitous Systems: Computing, Networking and Services: 18th EAI International Conference, MobiQuitous 2021, Virtual Event, November 8-11, 2021, Proceedings, Springer 2022 : 513-519
Malhi, Avleen; Madhikermi, Manik; Huotari, Matti; et al.
Visual Explanations for DNNs with Contextual Importance
Explainable and Transparent AI and Multi-Agent Systems: Third International Workshop, EXTRAAMAS 2021, Virtual Event, May 3–7, 2021, Revised Selected Papers, Springer 2021 : 83-96
Anjomshoae, Sule; Jiang, Lili; Främling, Kary
Preface
Lecture Notes in Computer Science, Springer 2021, Vol. 12688 : v-vi
Calvaresi, Davide; Najjar, Amro; Winikoff, Michael; et al.
Exploring Contextual Importance and Utility in Explaining Affect Detection
AIxIA 2020 – Advances in Artificial Intelligence: XIXth International Conference of the Italian Association for Artificial Intelligence, Virtual Event, November 25–27, 2020, Revised Selected Papers, Springer 2021 : 3-18
Fouladgar, Nazanin; Alirezaie, Marjan; Främling, Kary
Contextual Importance and Utility in R: the `ciu' Package
Proceedings of 1st Workshop on Explainable Agency in Artificial Intelligence, at 35th AAAI Conference on Artificial Intelligence, Virtual: 2021 : 110-114
Främling, Kary
ciu.image: An R Package for Explaining Image Classification with Contextual Importance and Utility
Explainable and Transparent AI and Multi-Agent Systems: Third International Workshop, EXTRAAMAS 2021, Virtual Event, May 3–7, 2021, Revised Selected Papers, Springer 2021 : 55-62
Främling, Kary; Knapic̆, Samanta; Malhi, Avleen
Comparison of Contextual Importance and Utility with LIME and Shapley Values
Explainable and Transparent AI and Multi-Agent Systems: Third International Workshop, EXTRAAMAS 2021, Virtual Event, May 3–7, 2021, Revised Selected Papers, Springer 2021 : 39-54
Främling, Kary; Westberg, Marcus; Jullum, Martin; et al.
Comparing seven methods for state-of-health time series prediction for the lithium-ion battery packs of forklifts
Applied Soft Computing, Elsevier 2021, Vol. 111
Huotari, Matti; Arora, Shashank; Malhi, Avleen; et al.
Explainable artificial intelligence for human decision support system in the medical domain
Machine Learning & Knowledge Extraction, MDPI 2021, Vol. 3, (3) : 740-770
Knapič, Samanta; Malhi, Avleen; Saluja, Rohit; et al.
Context-specific sampling method for contextual explanations
ESANN 2021 proceedings, 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2021 : 593-598
Madhikermi, Manik; Malhi, Avleen; Främling, Kary
Online Product Advertisement Prediction and Explanation in Large-scale Social Networks
2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS)
Malhi, Avleen; Madhikermi, Manik; Maharjan, Yaman; et al.
Blockchain-based deployment of product-centric information systems
Computers in industry (Print), Elsevier 2021, Vol. 125
Mattila, Juri; Seppälä, Timo; Valkama, Pellervo; et al.
One-to-Many Negotiation QoE Management Mechanism for End-User Satisfaction
IEEE Access, IEEE 2021, Vol. 9 : 59231-59243
Najjar, Amro; Mualla, Yazan; Singh, Kamal Deep; et al.
Towards Explainable and Trustworthy Autonomous Physical Systems
CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI '21 Extended Abstracts)
Omeiza, Daniel; Anjomshoae, Sule; Kollnig, Konrad; et al.
Automated IoT device identification based on full packet information using real-time network traffic
Sensors, MDPI 2021, Vol. 21, (8)
Yousefnezhad, Narges; Malhi, Avleen; Främling, Kary
Assessing Explainability in Reinforcement Learning
Explainable and Transparent AI and Multi-Agent Systems: Third International Workshop on Explainable, Transparent AI and Multi-Agent Systems, EXTRAAMAS 2021, Virtual Event, May 3–7, 2021, Revised Selected Papers, Springer 2021 : 223-240
Zelvelder, Amber; Westberg, Marcus; Främling, Kary
Py-CIU: A Python Library for Explaining Machine Learning Predictions Using Contextual Importance and Utility
Proceedings
Anjomshoae, Sule; Kampik, Timotheus; Främling, Kary
Decision Explanation: Applying Contextual Importance and Contextual Utility in Affect Detection
Proceedings of the Italian Workshop on Explainable Artificial Intelligence, Technical University of Aachen 2020 : 1-13
Fouladgar, Nazanin; Alirezaie, Marjan; Främling, Kary
XAI-P-T: A Brief Review of Explainable Artificial Intelligence from Practice to Theory
Fouladgar, Nazanin; Främling, Kary
A Novel LSTM for Multivariate Time Series with Massive Missingness
Sensors, MDPI 2020, Vol. 20, (10)
Fouladgar, Nazanin; Främling, Kary
Decision Theory Meets Explainable AI
Explainable, Transparent Autonomous Agents and Multi-Agent Systems: Second International Workshop, EXTRAAMAS 2020, Auckland, New Zealand, May 9–13, 2020, Revised Selected Papers, Cham: Springer 2020 : 57-74
Främling, Kary
A dynamic battery state-of-health forecasting model for electric trucks: li-ion batteries case-study
ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
Huotari, Matti; Arora, Shashank; Malhi, Avleen; et al.
bIoTope: Building an IoT Open Innovation Ecosystem for Smart Cities
IEEE Access, IEEE 2020, Vol. 8 : 224318-224342
Javed, Asad; Kubler, Sylvain; Malhi, Avleen; et al.
Edge computing-based fault-tolerant framework: A case study on vehicular networks
2020 16th international wireless communications & mobile computing conference, IWCMC, Institute of Electrical and Electronics Engineers (IEEE) 2020 : 1541-1548
Javed, Asad; Malhi, Avleen; Främling, Kary
Scalable IoT Platform for Heterogeneous Devices in Smart Environments
IEEE Access, IEEE 2020, Vol. 8 : 211973-211985
Javed, Asad; Malhi, Avleen; Kinnunen, Tuomas; et al.
IoTEF: A Federated Edge-Cloud Architecture for Fault-Tolerant IoT Applications
Journal of Grid Computing, Springer 2020, Vol. 18 : 57-80
Javed, Asad; Robert, Jérémy; Heljanko, Keijo; et al.
Explainable Agents for Less Bias in Human-Agent Decision Making
EXTRAAMAS: International Workshop on Explainable, Transparent Autonomous Agents and Multi-Agent Systems: Explainable, Transparent Autonomous Agents and Multi-Agent Systems, Switzerland: Springer Nature 2020 : 129-146
Malhi, Avleen; Knapic, Samanta; Främling, Kary
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Från om med vårterminen 2021 undervisar jag på kursen Bearbetning och visualisering av data (5DV217).