Video recording and digital image processing in analyzing air flows. - Jukka Heikkonen (ICPR (1), 1992)

Recovering Translational Motion Parameters from Image Sequences Using Randomized Hough Transform. - Jukka Heikkonen (CAIP, 1993)

Learning motion trajectories via self-organization. - Jukka Heikkonen; Pasi Koikkalainen; Christoph Schnörr (ICPR (2), 1994)

Recovering 3-D motion parameters from optical flow field using randomized Hough transform. - Jukka Heikkonen (Pattern Recognit. Lett., 1995)

A computer vision approach to air flow analysis. - Jukka Heikkonen (Pattern Recognit. Lett., 1996)

Special issue on neural networks for computer vision applications. - Jukka Heikkonen; Abhay B. Bulsari (Pattern Recognit. Lett., 1996)

A computer vision approach to digit recognition on pulp bales. - Jukka Heikkonen; Mika Mantynen (Pattern Recognit. Lett., 1996)

A Recurrent Self-Organizing Map for Temporal Sequence Processing. - Markus Varsta; José del R. Millán; Jukka Heikkonen (ICANN, 1997)

Recurrent SOM with local linear models in time series prediction. - Timo Koskela 002; Markus Varsta; Jukka Heikkonen; Kimmo Kaski (ESANN, 1998)

Temporal sequence processing using recurrent SOM. - Timo Koskela 002; Markus Varsta; Jukka Heikkonen; Kimmo Kaski (KES (1), 1998)

Adaptive Brain Interfaces. - José del R. Millán; Josep Mouriño; Jukka Heikkonen; Kimmo Kaski; Fabio Babiloni; Maria Grazia Marciani; F. Topani; I. Canale (IWANN (2), 1999)

Analytical comparison of the Temporal Kohonen Map and the Recurrent Self Organizing Map. - Markus Varsta; Jukka Heikkonen; Jouko Lampinen (ESANN, 2000)

Evaluating the Performance of Three Feature Sets for Brain-Computer Interfaces with an Early Stopping MLP Committee. - Markus Varsta; Jukka Heikkonen; José del R. Millán; Josep Mouriño (ICPR, 2000)

Local Neural Classifier for EEG-Based Recognition of Mental Tasks. - José del R. Millán; Josep Mouriño; Fabio Babiloni; Febo Cincotti; Markus Varsta; Jukka Heikkonen (IJCNN (3), 2000)

A Fully Automatic Alignment of Electron Tomography Images without Fiducial Markers. - Sami S. Brandt; Jukka Heikkonen (MVA, 2000)

A New Robust Bayesian Method for the Affine F-Matrix Estimation. - Sami S. Brandt; Jukka Heikkonen (VMV, 2000)

A Bayesian weighting principle for the fundamental matrix estimation. - Sami S. Brandt; Jukka Heikkonen (Pattern Recognit. Lett., 2000)

Using Document Features to Optimize Web Cache. - Timo Koskela 002; Jukka Heikkonen; Kimmo Kaski (ICANN, 2001)

Optimal Method for the Affine F-Matrix and Its Uncertainty Estimation in the Sense of both Noise and Outliers. - Sami S. Brandt; Jukka Heikkonen (ICCV, 2001)

Multi-resolution matching of uncalibrated images utilizing epipolar geometry and its uncertainty. - Sami S. Brandt; Jukka Heikkonen (ICIP (2), 2001)

Temporal Kohonen Map and the Recurrent Self-Organizing Map: Analytical and Experimental Comparison. - Markus Varsta; Jukka Heikkonen; Jouko Lampinen; José del R. Millán (Neural Process. Lett., 2001)

On the Alignment of Transmission Electron Microscope Images without Fiducial Markers. - Sami S. Brandt; Jukka Heikkonen; Peter Engelhardt (ICPR (2), 2002)

A local neural classifier for the recognition of EEG patterns associated to mental tasks. - José del R. Millán; Josep Mouriño; Marco Franzé; Febo Cincotti; Markus Varsta; Jukka Heikkonen; Fabio Babiloni (IEEE Trans. Neural Networks, 2002)

Web cache optimization with nonlinear model using object features. - Timo Koskela 002; Jukka Heikkonen; Kimmo Kaski (Comput. Networks, 2003)

Minimum Description Length Denoising With Histogram Models. - Vibhor Kumar; Jukka Heikkonen; Jorma Rissanen; Kimmo Kaski (IEEE Trans. Signal Process., 2006)

A soft thresholding approach for MDL denoising. - Janne Ojanen; Jukka Heikkonen (EUSIPCO, 2007)

Information Theoretic Methods for Bioinformatics. - Jorma Rissanen; Peter D. Grünwald; Jukka Heikkonen; Petri Myllymäki; Teemu Roos; Juho Rousu (EURASIP J. Bioinform. Syst. Biol., 2007)

Information System Process Innovation Evolution Paths. - Erja Mustonen-Ollila; Jukka Heikkonen (ICEIS (3-1), 2008)

Issues on Clustering and Data Gridding. - Jukka Heikkonen; Domenico Perrotta; Marco Riani; Francesca Torti (Classification and Data Mining, 2013)

Knowledge Management Theory Creation in Healthcare Environment. - Erja Mustonen-Ollila; Antti Valpas; Jukka Heikkonen; Helvi Nyerwanire (EPS, 2014)

Actors and Factors in IS Process Innovation Decisions. - Erja Mustonen-Ollila; Jukka Heikkonen; Philip Powell (KDIR, 2014)

Knowledge Management Problems in Hospital Work - A Case Study on Experiences in the Obstetrics and Gynaecology Department. - Helvi Nyerwanire; Erja Mustonen-Ollila; Antti Valpas; Jukka Heikkonen (KMIS, 2014)

Arctic Soil Hydraulic Conductivity and Soil Type Recognition Based on Aerial Gamma-Ray Spectroscopy and Topographical Data. - Jonne Pohjankukka; Paavo Nevalainen; Tapio Pahikkala; Pekka Hänninen; Eija Hyvönen; Raimo Sutinen; Jukka Heikkonen (ICPR, 2014)

Predicting Water Permeability of the Soil Based on Open Data. - Jonne Pohjankukka; Paavo Nevalainen; Tapio Pahikkala; Eija Hyvönen; Pekka Hänninen; Raimo Sutinen; Jari Ala-Ilomäki; Jukka Heikkonen (AIAI, 2014)

Knowledge Management Problems in Paediatrics and Paediatrics Neurology Departments. - Helvi Nyerwanire; Erja Mustonen-Ollila; Antti Valpas; Jukka Heikkonen (KMIS, 2015)

Detecting stony areas based on ground surface curvature distribution. - Paavo Nevalainen; Maarit Middleton; Ilkka Kaate; Tapio Pahikkala; Raimo Sutinen; Jukka Heikkonen (IPTA, 2015)

Modelling user retention in mobile games. - Markus Viljanen; Antti Airola; Tapio Pahikkala; Jukka Heikkonen (CIG, 2016)

User activity decay in mobile games determined by simple differential equations? - Markus Viljanen; Antti Airola; Tapio Pahikkala; Jukka Heikkonen (CIG, 2016)

Real-Time Swimmer Tracking on Sparse Camera Array. - Paavo Nevalainen; M. Hashem Haghbayan; Antti Kauhanen; Jonne Pohjankukka; Mikko-Jussi Laakso; Jukka Heikkonen (ICPRAM (Revised Selected Papers), 2016)

Video based Swimming Analysis for Fast Feedback. - Paavo Nevalainen; Antti Kauhanen; Csaba Raduly-Baka; Mikko-Jussi Laakso; Jukka Heikkonen (ICPRAM, 2016)

Denoising with flexible histogram models on Minimum Description length principle. - Vibhor Kumar; Jukka Heikkonen (CoRR, 2016)

Detecting Terrain Stoniness From Airborne Laser Scanning Data. - Paavo Nevalainen; Maarit Middleton; Raimo Sutinen; Jukka Heikkonen; Tapio Pahikkala (Remote. Sens., 2016)

A/B-Test of Retention and Monetization Using the Cox Model. - Markus Viljanen; Antti Airola; Jukka Heikkonen; Tapio Pahikkala (AIIDE, 2017)

Triangular Curvature Approximation of Surfaces - Filtering the Spurious Mode. - Paavo Nevalainen; Ivan Jambor; Jonne Pohjankukka; Jukka Heikkonen; Tapio Pahikkala (ICPRAM, 2017)

Estimating the prediction performance of spatial models via spatial k-fold cross validation. - Jonne Pohjankukka; Tapio Pahikkala; Paavo Nevalainen; Jukka Heikkonen (Int. J. Geogr. Inf. Sci., 2017)

Estimating the Rut Depth by UAV Photogrammetry. - Paavo Nevalainen; Aura Salmivaara; Jari Ala-Ilomäki; Samuli Launiainen; Juuso Hiedanpää; Leena Finér; Tapio Pahikkala; Jukka Heikkonen (Remote. Sens., 2017)

A deep auto-encoder based approach for intrusion detection system. - Fahimeh Farahnakian; Jukka Heikkonen (ICACT, 2018)

Object Detection Based on Multi-sensor Proposal Fusion in Maritime Environment. - Fahimeh Farahnakian; Mohammad Hashem Haghbayan; Jonne Poikonen; Markus Laurinen; Paavo Nevalainen; Jukka Heikkonen (ICMLA, 2018)

Future Educational Technology with Big Data and Learning Analytics. - Rajeev Kumar Kanth; Mikko-Jussi Laakso; Paavo Nevalainen; Jukka Heikkonen (ISIE, 2018)

An Efficient Multi-sensor Fusion Approach for Object Detection in Maritime Environments. - Mohammad Hashem Haghbayan; Fahimeh Farahnakian; Jonne Poikonen; Markus Laurinen; Paavo Nevalainen; Juha Plosila; Jukka Heikkonen (ITSC, 2018)

Playtime Measurement With Survival Analysis. - Markus Viljanen; Antti Airola; Jukka Heikkonen; Tapio Pahikkala (IEEE Trans. Games, 2018)

Edge and Fog Computing Enabled AI for IoT-An Overview. - Zhuo Zou; Yi Jin 007; Paavo Nevalainen; Yuxiang Huan; Jukka Heikkonen; Tomi Westerlund (AICAS, 2019)

Visible and Infrared Image Fusion Framework based on RetinaNet for Marine Environment. - Fahimeh Farahnakian; Jussi Poikonen; Markus Laurinen; Dimitrios Makris 001; Jukka Heikkonen (FUSION, 2019)

Monocular visual odometry based on hybrid parameterization. - Sherif Abdelmonem Sayed Mohamed; Mohammad Hashem Haghbayan; Jukka Heikkonen; Hannu Tenhunen; Juha Plosila (ICMV, 2019)

Towards Dynamic Monocular Visual Odometry Based on an Event Camera and IMU Sensor. - Sherif Abdelmonem Sayed Mohamed; Mohammad Hashem Haghbayan; Mohammed Rabah; Jukka Heikkonen; Hannu Tenhunen; Juha Plosila (INTSYS, 2019)

Formation Maintenance and Collision Avoidance in a Swarm of Drones. - Jawad Naveed Yasin; Mohammad Hashem Haghbayan; Jukka Heikkonen; Hannu Tenhunen; Juha Plosila (ISCSIC, 2019)

Deep Convolutional Neural Network-based Fusion of RGB and IR Images in Marine Environment. - Fahimeh Farahnakian; Jussi Poikonen; Markus Laurinen; Jukka Heikkonen (ITSC, 2019)

Comparative Analysis of Image Fusion Methods in Marine Environment. - Fahimeh Farahnakian; Parisa Movahedi; Jussi Poikonen; Eero Lehtonen; Dimitrios Makris 001; Jukka Heikkonen (ROSE, 2019)

Optimization of Silicon Tandem Solar Cells Using Artificial Neural Networks. - Jatin Kumar Chaudhary; Jiaqing Liu; Jukka-Pekka Skon; Yen-Wei Chen 001; Rajeev Kumar Kanth; Jukka Heikkonen (SGAI Conf., 2019)

A Survey on Odometry for Autonomous Navigation Systems. - Sherif Abdelmonem Sayed Mohamed; Mohammad Hashem Haghbayan; Tomi Westerlund; Jukka Heikkonen; Hannu Tenhunen; Juha Plosila (IEEE Access, 2019)

The spatial leave-pair-out cross-validation method for reliable AUC estimation of spatial classifiers. - Antti Airola; Jonne Pohjankukka; Johanna Torppa; Maarit Middleton; Vesa Nykänen; Jukka Heikkonen; Tapio Pahikkala (Data Min. Knowl. Discov., 2019)

Innovative and Efficient Teaching Methodology for Digital Communication Systems Using an e-Learning Platform. - Rajeev Kumar Kanth; Jukka-Pekka Skon; Arto Toppinen; Kari Lehtomäki; Mikko-Jussi Laakso; Jukka Heikkonen (J. Commun., 2019)

Towards Real-Time Edge Detection for Event Cameras Based on Lifetime and Dynamic Slicing. - Sherif Abdelmonem Sayed Mohamed; Mohammad Hashem Haghbayan; Jukka Heikkonen; Hannu Tenhunen; Juha Plosila (AICV, 2020)

Fusing LiDAR and Color Imagery for Object Detection using Convolutional Neural Networks. - Fahimeh Farahnakian; Jukka Heikkonen (FUSION, 2020)

Comparing CNN-Based Object Detectors on Two Novel Maritime Datasets. - Valentin Soloviev; Fahimeh Farahnakian; Luca Zelioli; Bogdan Iancu; Johan Lilius; Jukka Heikkonen (ICME Workshops, 2020)

A Comparative Study of Deep Learning-based RGB-depth Fusion Methods for Object Detection. - Fahimeh Farahnakian; Jukka Heikkonen (ICMLA, 2020)

Dynamic Resource-Aware Corner Detection for Bio-Inspired Vision Sensors. - Sherif Abdelmonem Sayed Mohamed; Jawad Naveed Yasin; Mohammad Hashem Haghbayan; Antonio Miele; Jukka Heikkonen; Hannu Tenhunen; Juha Plosila (ICPR, 2020)

RGB-depth Fusion Framework for Object Detection in Autonomous Vehicles. - Fahimeh Farahnakian; Jukka Heikkonen (ICSPCS, 2020)

Night vision obstacle detection and avoidance based on Bio-Inspired Vision Sensors. - Jawad Naveed Yasin; Sherif Abdelmonem Sayed Mohamed; Mohammad Hashem Haghbayan; Jukka Heikkonen; Hannu Tenhunen; Muhammad Mehboob Yasin; Juha Plosila (IEEE SENSORS, 2020)

Asynchronous Corner Tracking Algorithm Based on Lifetime of Events for DAVIS Cameras. - Sherif Abdelmonem Sayed Mohamed; Jawad Naveed Yasin; Mohammad Hashem Haghbayan; Antonio Miele; Jukka Heikkonen; Hannu Tenhunen; Juha Plosila (ISVC (1), 2020)

Navigation of Autonomous Swarm of Drones Using Translational Coordinates. - Jawad Naveed Yasin; Sherif Abdelmonem Sayed Mohamed; Mohammad Hashem Haghbayan; Jukka Heikkonen; Hannu Tenhunen; Juha Plosila (PAAMS, 2020)

Unmanned Aerial Vehicles (UAVs): Collision Avoidance Systems and Approaches. - Jawad Naveed Yasin; Sherif Abdelmonem Sayed Mohamed; Mohammad Hashem Haghbayan; Jukka Heikkonen; Hannu Tenhunen; Juha Plosila (IEEE Access, 2020)

Energy-Efficient Formation Morphing for Collision Avoidance in a Swarm of Drones. - Jawad Naveed Yasin; Sherif Abdelmonem Sayed Mohamed; Mohammad Hashem Haghbayan; Jukka Heikkonen; Hannu Tenhunen; Muhammad Mehboob Yasin; Juha Plosila (IEEE Access, 2020)

Utilizing remote sensing data in forest inventory sampling via Bayesian optimization. - Jonne Pohjankukka; Sakari Tuominen; Jukka Heikkonen (CoRR, 2020)

Dynamic Formation Reshaping Based on Point Set Registration in a Swarm of Drones. - Jawad Naveed Yasin; Sherif Abdelmonem Sayed Mohamed; Mohammad Hashem Haghbayan; Jukka Heikkonen; Hannu Tenhunen; Muhammad Mehboob Yasin; Juha Plosila (CoRR, 2020)

Deep Learning Based Multi-Modal Fusion Architectures for Maritime Vessel Detection. - Fahimeh Farahnakian; Jukka Heikkonen (Remote. Sens., 2020)

Localization in Unstructured Environments: Towards Autonomous Robots in Forests with Delaunay Triangulation. - Qingqing Li 001; Paavo Nevalainen; Jorge Peña Queralta; Jukka Heikkonen; Tomi Westerlund (Remote. Sens., 2020)

Navigation and Mapping in Forest Environment Using Sparse Point Clouds. - Paavo Nevalainen; Qingqing Li 001; Timo Melkas; Kirsi Riekki; Tomi Westerlund; Jukka Heikkonen (Remote. Sens., 2020)

Measuring Player Retention and Monetization Using the Mean Cumulative Function. - Markus Viljanen; Antti Airola; Anne-Maarit Majanoja; Jukka Heikkonen; Tapio Pahikkala (IEEE Trans. Games, 2020)

Federated Learning in Robotic and Autonomous Systems. - Xianjia Yu; Jorge Peña Queralta; Jukka Heikkonen; Tomi Westerlund (FNC/MobiSPC, 2021)

Towards Autonomous Industrial Warehouse Inspection. - Fahimeh Farahnakian; Lauri Koivunen; Tuomas Mäkilä; Jukka Heikkonen (ICAC, 2021)

Transfer Learning for Maritime Vessel Detection using Deep Neural Networks. - Fahimeh Farahnakian; Luca Zelioli; Jukka Heikkonen (ITSC, 2021)

Applications of UWB Networks and Positioning to Autonomous Robots and Industrial Systems. - Xianjia Yu; Qingqing Li 001; Jorge Peña Queralta; Jukka Heikkonen; Tomi Westerlund (MECO, 2021)

DBA-Filter: A Dynamic Background Activity Noise Filtering Algorithm for Event Cameras. - Sherif Abdelmonem Sayed Mohamed; Jawad Naveed Yasin; Mohammad Hashem Haghbayan; Jukka Heikkonen; Hannu Tenhunen; Juha Plosila (SAI (1), 2021)

Human Presence Detection with Thermal Sensor using Multilayer Perceptron Algorithm. - Lassi Puurunen; Jatin Kumar Chaudhary; Rajeev Kumar Kanth; Jukka Heikkonen (WF-IoT, 2021)

Long-Term Autonomy in Forest Environment using Self-Corrective SLAM. - Paavo Nevalainen; Parisa Movahedi; Jorge Peña Queralta; Tomi Westerlund; Jukka Heikkonen (CoRR, 2021)

Cooperative UWB-Based Localization for Outdoors Positioning and Navigation of UAVs aided by Ground Robots. - Xianjia Yu; Qingqing Li 001; Jorge Peña Queralta; Jukka Heikkonen; Tomi Westerlund (CoRR, 2021)

An Overview of Federated Learning at the Edge and Distributed Ledger Technologies for Robotic and Autonomous Systems. - Xianjia Yu; Jorge Peña Queralta; Jukka Heikkonen; Tomi Westerlund (CoRR, 2021)

Meta-Learning, Fast Adaptation, and Latent Representation for Head Pose Estimation. - Manoj Joshi; Dibakar Raj Pant; Rupesh Raj Karn; Jukka Heikkonen; Rajeev Kumar Kanth (FRUCT, 2022)

Automated Testing and Resilience of Microservice's Network-link using Istio Service Mesh. - Rupesh Raj Karn; Rammi Das; Dibakar Raj Pant; Jukka Heikkonen; Rajeev Kumar Kanth (FRUCT, 2022)

Image Quality Assessment by Integration of Low-level & High-Level Features: Threshold Similarity Index. - Jatin Kumar Chaudhary; Dibakar Raj Pant; Suresh Pokharel; Jukka-Pekka Skön; Jukka Heikkonen; Rajeev Kumar Kanth (ISIE, 2022)

Hybrid Capsule Network for Hyperspectral Image Unmixing and Classification. - Ravi Giri; Dibakar Raj Pant; Jukka Heikkonen; Rajeev Kumar Kanth (ACR, 2023)

Short and Long Term Vessel Movement Prediction for Maritime Traffic. - Farshad Farahnakian; Fahimeh Farahnakian; Javad Sheikh; Paavo Nevalainen; Jukka Heikkonen (critis, 2023)

Enhancing Minerals Prospects Mapping with Machine Learning: Addressing Imbalanced Geophysical Datasets and Data Visualization Approaches. - Dipak Kumar Nidhi; Iiro Seppä; Fahimeh Farahnakian; Luca Zelioli; Jukka Heikkonen; Rajeev Kumar Kanth (FRUCT, 2023)

Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland. - Fahimeh Farahnakian; Luca Zelioli; Timo P. Pitkänen; Jonne Pohjankukka; Maarit Middleton; Sakari Tuominen; Paavo Nevalainen; Jukka Heikkonen (FUSION, 2023)

Ice-Water Segmentation Using Deep Convolutional Neural Network-Based Fusion Approach. - Javad Sheikh; Fahimeh Farahnakian; Farshad Farahnakian; Jukka Heikkonen (ICAC, 2023)

Sea Ice Concentration Estimation Via Fusion of Sentinel-1 and AMSR2 Based on Encoder-Decoder Architecture. - Javad Sheikh; Fahimeh Farahnakian; Farshad Farahnakian; Jukka Heikkonen (ITSC, 2023)

Intelligent Traffic Light Solution for Green and Sustainable Smart City. - Omid Jafari; Stanislav Kolosov; Nhan Vo; Asmita Thapa Magar; Jukka Heikkonen; Rajeev Kumar Kanth (MECO, 2023)

CNN-based Boreal Peatland Fertility Classification from Sentinel-1 and Sentinel-2 Imagery. - Fahimeh Farahnakian; Luca Zelioli; Maarit Middleton; Iiro Seppä; Timo P. Pitkänen; Jukka Heikkonen (ROSE, 2023)

One, Five, and Ten-Shot-Based Meta-Learning for Computationally Efficient Head Pose Estimation. - Manoj Joshi; Dibakar Raj Pant; Jukka Heikkonen; Rajeev Kumar Kanth (Int. J. Embed. Real Time Commun. Syst., 2023)

A Comprehensive Study of Clustering-Based Techniques for Detecting Abnormal Vessel Behavior. - Farshad Farahnakian; Florent Nicolas; Fahimeh Farahnakian; Paavo Nevalainen; Javad Sheikh; Jukka Heikkonen; Csaba Raduly-Baka (Remote. Sens., 2023)

TNEST: Training Sparse Neural Network for FPGA Based Edge Application. - Rammi Das; Rupesh Raj Karn; Jukka Heikkonen; Rajeev Kumar Kanth (ACR, 2024)

Enhancing Peatland Classification using Sentinel-1 and Sentinel-2 Fusion with Encoder-Decoder Architecture. - Luca Zelioli; Fahimeh Farahnakian; Farshad Farahnakian; Maarit Middleton; Jukka Heikkonen (FUSION, 2024)

Multi-modal Fusion of LiDAR and PRISMA Data for Cobalt Mapping: A Case Study from the Áramo Mine, Spain. - Fahimeh Farahnakian; Farshad Farahnakian; Javad Sheikh; Steven Downey; Vaughan Williams; Jukka Heikkonen (ICPR (Workshops and Challenges, 4), 2024)

SEDA: Similarity-Enhanced Data Augmentation for Imbalanced Learning. - Javad Sheikh; Farshad Farahnakian; Fahimeh Farahnakian; Luca Zelioli; Jukka Heikkonen (ICPR (26), 2024)

Cross-Vendor Reproducibility of Radiomics-based Machine Learning Models for Computer-aided Diagnosis. - Jatin Kumar Chaudhary; Ivan Jambor; Hannu J. Aronen; Otto Ettala; Jani Saunavaara; Peter J. Boström; Jukka Heikkonen; Rajeev Kumar Kanth; Harri Merisaari (CoRR, 2024)

Super Level Sets and Exponential Decay: A Synergistic Approach to Stable Neural Network Training. - Jatin Kumar Chaudhary; Dipak Kumar Nidhi; Jukka Heikkonen; Harri Merisaari; Rajiv Kanth (CoRR, 2024)

Autonomous Quadruped Robot System with LiDAR Sensor Navigation and Task Execution. - Bishwatma Khanal; Aki Happonen; Jukka Heikkonen; Rajeev Kanth (MECO, 2025)

Peatland pixel-level classification via multispectral, multiresolution and multisensor data using convolutional neural network. - Luca Zelioli; Fahimeh Farahnakian; Maarit Middleton; Timo P. Pitkänen; Sakari Tuominen; Paavo Nevalainen; Jonne Pohjankukka; Jukka Heikkonen (Ecol. Informatics, 2025)

Super Level Sets and Exponential Decay: A Synergistic Approach to Stable Neural Network Training. - Jatin Chaudary; Dipak Kumar Nidhi; Jukka Heikkonen; Harri Merisaari; Rajiv Kanth (J. Artif. Intell. Res., 2025)

Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots. - Sahar Salimpour; Jorge Peña Queralta; Diego Paez-Granados; Jukka Heikkonen; Tomi Westerlund (CoRR, 2025)

Ocular Disease Classification Using CNN with Deep Convolutional Generative Adversarial Network. - Arun Kunwar; Dibakar Raj Pant; Jukka Heikkonen; Rajeev Kumar Kanth (CoRR, 2025)

Pathway-based Progressive Inference (PaPI) for Energy-Efficient Continual Learning. - Suyash Gaurav; Jukka Heikkonen; Jatin Chaudhary (CoRR, 2025)

Focus Your Attention: Towards Data-Intuitive Lightweight Vision Transformers. - Suyash Gaurav; Muhammad Farhan Humayun; Jukka Heikkonen; Jatin Kumar Chaudhary (CoRR, 2025)

Enhancing hurdles athletes' performance analysis: A comparative study of cnn-based pose estimation frameworks. - Pouya Jafarzadeh; Luca Zelioli; Petra Virjonen; Fahimeh Farahnakian; Paavo Nevalainen; Jukka Heikkonen (Multim. Tools Appl., 2025)