Paavo Nevalainen

AI-assisted sales coaching framework: Empirically-derived models for B2B communication analysis (2026)

Array

Mäntyvaara, Joona; Nevalainen, Paavo; Glavatskiy, Kirill; Heikkonen, Jukka

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Real-Time Fisheye Frame Stabilization (2026)

Studies in Computational Intelligence

Nevalainen, Paavo; Humayun, Muhammad Farhan; Borzyszkowski, Adrian; Laesvuori, Jori; Heikkonen, Jukka

(A3 Vertaisarvioitu kirjan tai muun kokoomateoksen osa)

Mineral prospectivity mapping under extreme imbalance using contrastive embeddings balanced learning and integrated uncertainty analysis (2026)

Discover Computing

Nidhi, Dipak Kumar; Mohapatra, Sudhir Kumar; Nevalainen, Paavo; Heikkonen, Jukka; Kanth, Rajeev

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

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 )

Performance Measures for Autonomous Operation in Forest Environments (2026)

Studies in Computational Intelligence

Nevalainen, Paavo; Heikkonen, Jukka

(A3 Vertaisarvioitu kirjan tai muun kokoomateoksen osa)

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 )

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)

A Comparative Study of a Real-Time Multi-Person Tracking System in an Urban Square Dataset (2025)

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

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Maritime vessel movement prediction: A temporal convolutional network model with optimal look-back window size determination (2025)

Farahnakian, Farshad; Nevalainen, Paavo; Farahnakian, Fahimeh; Vähämäki, Tanja; 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 )

Paavo

Nevalainen

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AI-assisted sales coaching framework: Empirically-derived models for B2B communication analysis (2026)

Real-Time Fisheye Frame Stabilization (2026)

Mineral prospectivity mapping under extreme imbalance using contrastive embeddings balanced learning and integrated uncertainty analysis (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)

Performance Measures for Autonomous Operation in Forest Environments (2026)

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

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

A Comparative Study of a Real-Time Multi-Person Tracking System in an Urban Square Dataset (2025)

Maritime vessel movement prediction: A temporal convolutional network model with optimal look-back window size determination (2025)

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