An Open, PKI-Based Mobile Payment System. - Marko Hassinen; Konstantin Hyppönen; Keijo Haataja (ETRICS, 2006)

Further Classification of Bluetooth-Enabled Ad-Hoc Networks Depending on a Risk Analysis within Each Classified Group. - Keijo Haataja (ICN, 2008)

New efficient intrusion detection and prevention system for Bluetooth networks. - Keijo Haataja (MOBILWARE, 2008)

Designing and Implementing an Embedded Linux for Limited Resource Devices. - Hannu Lyytinen; Keijo Haataja; Pekka J. Toivanen (ICN, 2009)

New Efficient RF Fingerprint-Based Security Solution for Bluetooth Secure Simple Pairing. - Sanna Pasanen; Keijo Haataja; Niina Päivinen; Pekka J. Toivanen (HICSS, 2010)

Two practical man-in-the-middle attacks on Bluetooth secure simple pairing and countermeasures. - Keijo Haataja; Pekka J. Toivanen (IEEE Trans. Wirel. Commun., 2010)

Security Threats in ZigBee-Enabled Systems: Vulnerability Evaluation, Practical Experiments, Countermeasures, and Lessons Learned. - Niko Vidgren; Keijo Haataja; Jose Luis Patino-Andres; Juan Jose Ramirez-Sanchis; Pekka J. Toivanen (HICSS, 2013)

A novel recommendation system approach utilizing social network profiles. - Timo Kahara; Keijo Haataja; Pekka J. Toivanen (HIS, 2013)

3D imaging of human brain in the diagnostics of insomnia and depression: A comparative analysis, a novel insomnia/depression diagnostics approach, and lessons learned. - Tiia Ikonen; Keijo Haataja; Pekka J. Toivanen (ISDA, 2013)

Towards more accurate and intelligent recommendation systems. - Timo Kahara; Keijo Haataja; Pekka J. Toivanen (ISDA, 2013)

Wireless indoor tracking of livestock for behavioral analysis. - Mikko Asikainen; Keijo Haataja; Pekka J. Toivanen (IWCMC, 2013)

Bluetooth Security Attacks - Comparative Analysis, Attacks, and Countermeasures. - Keijo Haataja; Konstantin Hyppönen; Sanna Pasanen; Pekka J. Toivanen (Springer, 2013)

Computer-assisted image analysis of histopathological breast cancer images using step-DTOCS. - Tiia Ikonen; Harri Niska; Billy Braithwaite; Irene Pöllänen; Keijo Haataja; Pekka J. Toivanen; Teemu Tolonen; Jorma Isola (HIS, 2014)

Three practical attacks against ZigBee security: Attack scenario definitions, practical experiments, countermeasures, and lessons learned. - Olayemi Olawumi; Keijo Haataja; Mikko Asikainen; Niko Vidgren; Pekka J. Toivanen (HIS, 2014)

Computer-aided breast cancer histopathological diagnosis: Comparative analysis of three DTOCS-based features: SW-DTOCS, SW-WDTOCS and SW-3-4-DTOCS. - Irene Pöllänen; Billy Braithwaite; Tiia Ikonen; Harri Niska; Keijo Haataja; Pekka J. Toivanen; Teemu Tolonen (IPTA, 2014)

Design of a Novel Adaptive Indoor Air Quality Control for Co-learning Smart House. - Markus Johansson; Keijo Haataja; Mikko Kolehmainen; Pekka J. Toivanen (S-CUBE, 2014)

Mobile Health Applications: A Comparative Analysis and a Novel Mobile Health Platform. - Antti Väänänen; Keijo Haataja; Mikko Asikainen; Iiro Jantunen; Pekka J. Toivanen (S-CUBE, 2014)

Adaptive Methods for Managing Heterogeneity in Smart Spaces. - Mikko Asikainen; Lauri Väätäinen; Aleksi Suomalainen; Miika Toivanen; Keijo Haataja; Pekka J. Toivanen (IoT 360 (2), 2015)

Optimized curve design for image analysis using localized geodesic distance transformations. - Billy Braithwaite; Harri Niska; Irene Pöllänen; Tiia Ikonen; Keijo Haataja; Pekka J. Toivanen; Teemu Tolonen (Image Processing: Algorithms and Systems, 2015)

Morphological extraction of cancerous nucleus in the diagnostics of breast cancer. - Tiia Ikonen; Irene Pöllänen; Billy Braithwaite; Keijo Haataja; Pekka J. Toivanen; Teemu Tolonen; Jorma Isola (ISDA, 2015)

Current analysis approaches and performance needs for whole slide image processing in breast cancer diagnostics. - Irene Pöllänen; Billy Braithwaite; Keijo Haataja; Tiia Ikonen; Pekka J. Toivanen (SAMOS, 2015)

Systematic Literature Review on Empirical Results and Practical Implementations of Healthcare Recommender Systems: Lessons Learned and a Novel Proposal. - Adekunle Oluseyi Afolabi; Pekka J. Toivanen; Keijo Haataja; Juha Mykkänen (Int. J. Heal. Inf. Syst. Informatics, 2015)

Nuclei Malignancy Analysis Based on an Adaptive Bottom-Hat Filter. - Tiia Ikonen; Keijo Haataja; Pekka J. Toivanen; Teemu Tolonen; Jorma Isola (ISDA, 2016)

Three main paradigms of simultaneous localization and mapping (SLAM) problem. - Vandad Imani; Keijo Haataja; Pekka J. Toivanen (ICMV, 2017)

Survey to healthcare professionals on the practicality of AI services for healthcare. - Antti Väänänen; Keijo Haataja; Pekka J. Toivanen (F1000Research, 2020)

State-of-the-Art Techniques in Artificial Intelligence for Continual Learning: A Review. - Bukola Salami; Keijo Haataja; Pekka J. Toivanen (FedCSIS (Position Papers), 2021)

Text Recognition of Cardboard Pharmaceutical Packages by Utilizing Machine Vision. - Jarmo Koponen; Keijo Haataja; Pekka J. Toivanen (Image Processing: Algorithms and Systems, 2021)

Investigating Drug Peddling in Nigeria Using a Machine Learning Approach. - Oluwafemi Samson Balogun; Sunday Adewale Olaleye; Mazhar Mohsin; Keijo Haataja; Xiao Zhi Gao 001; Pekka J. Toivanen (ISDA, 2021)

An Overview of IoT-Based Architecture Model for Smart Home Systems. - Odamboy Djumanazarov; Antti Väänänen; Keijo Haataja; Pekka J. Toivanen (ISDA, 2021)

AI in healthcare: A narrative review. - Antti Väänänen; Keijo Haataja; Katri Vehviläinen-Julkunen; Pekka J. Toivanen (F1000Research, 2021)

Proposal of a novel Artificial Intelligence Distribution Service platform for healthcare. - Antti Väänänen; Keijo Haataja; Katri Vehviläinen-Julkunen; Pekka J. Toivanen (F1000Research, 2021)

Real-time defect detection and classification on wood surfaces using deep learning. - Mazhar Mohsin; Oluwafemi Samson Balogun; Keijo Haataja; Pekka J. Toivanen (Image Processing: Algorithms and Systems, 2022)

Recent advancements in machine vision methods for product code recognition: A systematic review. - Jarmo Koponen; Keijo Haataja; Pekka J. Toivanen (F1000Research, 2022)

A novel deep learning method for recognizing texts printed with multiple different printing methods. - Jarmo Koponen; Keijo Haataja; Pekka J. Toivanen (F1000Research, 2023)

Convolutional neural networks for real-time wood plank detection and defect segmentation. - Mazhar Mohsin; Oluwafemi Samson Balogun; Keijo Haataja; Pekka J. Toivanen (F1000Research, 2023)

Efficiency Meets Accuracy: Benchmarking Object Detection Models for Pathology Detection in Wireless Capsule Endoscopy. - Tsedeke Temesgen Habe; Keijo Haataja; Pekka J. Toivanen (IEEE Access, 2024)

Tanned-ReLU: A Bounded and Smooth Activation Function for Reliable Deep Learning on Chaotic Multi-variate Data. - Saifullah Khan; Keijo Haataja; Pekka J. Toivanen (BMSD, 2025)

Precision enhancement in wireless capsule endoscopy: a novel transformer-based approach for real-time video object detection. - Tsedeke Temesgen Habe; Keijo Haataja; Pekka J. Toivanen (Frontiers Artif. Intell., 2025)