Jukka Heikkonen

Decoding Cultural Music Classification with Machine Learning and Segment Length Analysis (2026)

SN Computer Science

Abebe, Mesfin; Endashew, Leta; Heikkonen, Jukka; Kanth, Rajeev; Mohapatra, Sudhir Kumar

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Can Radiomics Based Models Survive Across MRI Scanners? (2026)

Lecture Notes in Networks and Systems

Chaudhary, Jatin; Jambor, Ivan; Aronen, Hannu; Ettala, Otto; Saunavaara, Jani; Boström, Peter; Heikkonen, Jukka; Kanth, Rajeev; Merisaari, Harri

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Unlocking the Genome: The Hidden Algorithms Behind Neural Processes and AI (2026)

Lecture Notes in Networks and Systems

Lai, Dung; Sheikh-Akbari, Akbar; Skön, Jukka-Pekka; Heikkonen, Jukka; Kanth, Rajeev

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Computational Approaches for Logical Biomolecular Complexes Design for Cancer Treatment: A Preliminary Study (2026)

Smart innovation, systems and technologies

Ngoc, Dzung Lai; Luojus, Maria; Heikkonen, Jukka; Kanth, Rajeev

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Image partitioning with windowed and panoramic configuration for passive 360-degree camera in military unmanned ground vehicle: A machine learning-based detection framework (2026)

Journal of Military Studies

Borzyszkowski, Adrian; Andersson, Christian; Zelioli, Luca; Nevalainen, Paavo; Heikkonen, Jukka

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Peatland pixel-level classification via multispectral, multiresolution and multisensor data using convolutional neural network (2025)

Ecological Informatics

Zelioli, Luca; Farahnakian, Fahimeh; Middleton, Maarit; Pitkänen, Timo P.; Tuominen, Sakari; Nevalainen, Paavo; Pohjankukka, Jonne; Heikkonen, Jukka

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Enhancing hurdles athletes’ performance analysis: A comparative study of cnn-based pose estimation frameworks (2025)

Multimedia Tools and Applications

Jafarzadeh, Pouya; Zelioli, Luca; Virjonen, Petra; Farahnakian, Fahimeh; Nevalainen, Paavo; Heikkonen, Jukka

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Lessons Learned from the RAICAM Doctoral Network Research Sprints (2025)

Lecture Notes in Computer Science

Kenan, Alperen; Kordkheili, Sahar Sadeghi; Garcia Cardenas, Juan Jose; Melone, Alessandro; Tian, Changda; Li, Haichuan; Raei, Hamidreza; Arachchige, Sasanka Kuruppu; Tang, Yifeng; Tapus, Adriana; Ollero, Anibal; Ajudani, Arash; Arrue, Begoña C.; Papageorgiou, Dimitrios; Kämäräinen, Joni-Kristian; Heikkonen, Jukka; Figueredo, Luis; Giuliani, Manuel; Trahanias, Panos; Bremner, Paul; Nekoo, Saeed Rafee; Watson, Simon; Westerlund, Tomi

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

SSTSM: A Black Box Test Suite Minimization Algorithm Based on Fault-Exposing Potential and Squirrel Search (2025)

Lecture Notes in Networks and Systems

Deferisha, Aliazar Deneke; Bejo, Seifu Detso; Mohapatra, Sudhir Kumar; Heikkonen, Jukka; Kanth, Rajeev

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Enhancing Mineral Prospectivity Mapping in Imbalanced Data Environments Using Geophysical Feature Similarity and Bayesian Kernel Density Estimation (2025)

Nidhi, Dipak Kumar; Nevalainen, Paavo; Chaudhary, Jatin; Heikkonen, Jukka; Kanth, Rajeev

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Jukka

Heikkonen

Ota yhteyttä

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Decoding Cultural Music Classification with Machine Learning and Segment Length Analysis (2026)

Can Radiomics Based Models Survive Across MRI Scanners? (2026)

Unlocking the Genome: The Hidden Algorithms Behind Neural Processes and AI (2026)

Computational Approaches for Logical Biomolecular Complexes Design for Cancer Treatment: A Preliminary Study (2026)

Image partitioning with windowed and panoramic configuration for passive 360-degree camera in military unmanned ground vehicle: A machine learning-based detection framework (2026)

Peatland pixel-level classification via multispectral, multiresolution and multisensor data using convolutional neural network (2025)

Enhancing hurdles athletes’ performance analysis: A comparative study of cnn-based pose estimation frameworks (2025)

Lessons Learned from the RAICAM Doctoral Network Research Sprints (2025)

SSTSM: A Black Box Test Suite Minimization Algorithm Based on Fault-Exposing Potential and Squirrel Search (2025)

Enhancing Mineral Prospectivity Mapping in Imbalanced Data Environments Using Geophysical Feature Similarity and Bayesian Kernel Density Estimation (2025)