Tommi Kärkkäinen

Orcid: 0000-0003-2794-7491

According to our database1, Tommi Kärkkäinen authored at least 130 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Does the law matter? An empirical study on the accessibility of Finnish higher education institutions' web pages.
Univers. Access Inf. Soc., March, 2024

Identification of Cognitive Decline from Spoken Language through Feature Selection and the Bag of Acoustic Words Model.
CoRR, 2024

2023
Measuring self-regulated learning in a junior high school mathematics classroom: Combining aptitude and event measures in digital learning materials.
J. Comput. Assist. Learn., December, 2023

Fundamental concepts of cognitive mimetics.
Cogn. Syst. Res., December, 2023

Capturing cognitive load management during authentic virtual reality flight training with behavioural and physiological indicators.
J. Comput. Assist. Learn., October, 2023

Additive autoencoder for dimension estimation.
Neurocomputing, September, 2023

The Finnish Version of the Affinity for Technology Interaction (ATI) Scale: Psychometric Properties and an Examination of Gender Differences.
Int. J. Hum. Comput. Interact., February, 2023

Feature selection for distance-based regression: An umbrella review and a one-shot wrapper.
Neurocomputing, 2023

Toward Scalable and Transparent Multimodal Analytics to Study Standard Medical Procedures: Linking Hand Movement, Proximity, and Gaze Data.
CoRR, 2023

Minimal Learning Machine for Multi-Label Learning.
CoRR, 2023

Knowledge Discovery from Atomic Structures using Feature Importances.
CoRR, 2023

Tutorial Serious Game for Demonstrating Demand Response in an Energy Community.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023

More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

The impact of online educational platform on students' motivation and grades: the case of Khan Academy in the under-resourced communities.
Proceedings of the 16th International Conference on Educational Data Mining, 2023

Clustering to define interview participants for analyzing student feedback: a case of Legends of Learning.
Proceedings of the 16th International Conference on Educational Data Mining, 2023

Enhancing Performance of Linked Independent Component Analysis: Investigating the Influence of Subjects and Modalities.
Proceedings of the International Conference on Computers, 2023

Differential Privacy: An Umbrella Review.
Proceedings of the Artificial Intelligence and Cybersecurity: Theory and Applications, 2023

2022
MLCC Acoustic Data (2220 case size, processed).
Dataset, May, 2022

An Additive Autoencoder for Dimension Estimation.
CoRR, 2022

How pedagogical agents communicate with students: A two-phase systematic review.
Comput. Educ., 2022

Review of Demand Response and Energy Communities in Serious Games.
IEEE Access, 2022

Toolbox for Distance Estimation and Cluster Validation on Data With Missing Values.
IEEE Access, 2022

Seizure Prediction Using EEG Channel Selection Method.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

2021
One dimensional convolutional neural networks for seizure onset detection using long-term scalp and intracranial EEG.
Neurocomputing, 2021

Student agency analytics: learning analytics as a tool for analysing student agency in higher education.
Behav. Inf. Technol., 2021

Detection of developmental dyslexia with machine learning using eye movement data.
Array, 2021

Improving Scalable K-Means++.
Algorithms, 2021

Explainable Student Agency Analytics.
IEEE Access, 2021

Detection of Corrosion in Thick Film Resistors by X-Ray Imaging.
IEEE Access, 2021

Orientation Adaptive Minimal Learning Machine for Directions of Atomic Forces.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Instance-Based Multi-Label Classification via Multi-Target Distance Regression.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020
Do Randomized Algorithms Improve the Efficiency of Minimal Learning Machine?
Mach. Learn. Knowl. Extr., 2020

Can we automate expert-based journal rankings? Analysis of the Finnish publication indicator.
J. Informetrics, 2020

Scalable Initialization Methods for Large-Scale Clustering.
CoRR, 2020

Game learning analytics for understanding reading skills in transparent writing system.
Br. J. Educ. Technol., 2020

Nondestructive Acoustic Testing of Ceramic Capacitors Using One-Class Support Vector Machine With Automated Hyperparameter Selection.
IEEE Access, 2020

Improved Modulation for Packed E-Cell Converter.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

Course Satisfaction in Engineering Education Through the Lens of Student Agency Analytics.
Proceedings of the IEEE Frontiers in Education Conference, 2020

Problem Transformation Methods with Distance-Based Learning for Multi-Target Regression.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019
Identifying Pathways to Computer Science: The Long-Term Impact of Short-Term Game Programming Outreach Interventions.
ACM Trans. Comput. Educ., 2019

Extreme minimal learning machine: Ridge regression with distance-based basis.
Neurocomputing, 2019

Automatic Profiling of Open-Ended Survey Data on Medical Workplace Teaching.
Int. J. Emerg. Technol. Learn., 2019

Technology Comprehension - Combining computing, design, and societal reflection as a national subject.
Int. J. Child Comput. Interact., 2019

Mislabel Detection of Finnish Publication Ranks.
CoRR, 2019

Software Framework for Tribotronic Systems.
CoRR, 2019

Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection.
CoRR, 2019

OnMLM: An Online Formulation for the Minimal Learning Machine.
Proceedings of the Advances in Computational Intelligence, 2019

Predictive Analytics in a Pulp Mill using Factory Automation Data - Hidden Potential.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

IoT Demonstration Platform for Education and Research.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Feature and Algorithm Selection for Capacitated Vehicle Routing Problems.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Model selection for Extreme Minimal Learning Machine using sampling.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Hybrid vibration signal monitoring approach for rolling element bearings.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Sparse minimal learning machine using a diversity measure minimization.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018
Acoustic Phenomena in Damaged Ceramic Capacitors.
IEEE Trans. Ind. Electron., 2018

Using Slack for computer-mediated communication to support higher education students' peer interactions during Master's thesis seminar.
Educ. Inf. Technol., 2018

Semi-automatic literature mapping of participatory design studies 2006-2016.
Proceedings of the 15th Participatory Design Conference: Short Papers, Situated Actions, Workshops and Tutorial, 2018

Technology Comprehension: Scaling Making into a National Discipline.
Proceedings of the Conference on Creativity and Making in Education, 2018

Comparison of cluster validation indices with missing data.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Extreme Minimal Learning Machine.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Scalable robust clustering method for large and sparse data.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

A Knowledge Interface System for Information and Cyber Security Using Semantic Wiki.
Proceedings of the Designing for a Digital and Globalized World, 2018

2017
Comparison of Internal Clustering Validation Indices for Prototype-Based Clustering.
Algorithms, 2017

Feature Ranking of Large, Robust, and Weighted Clustering Result.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

BLPA: Bayesian learn-predict-adjust method for online detection of recurrent changepoints.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A Simple Cluster Validation Index with Maximal Coverage.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

A Robust Minimal Learning Machine based on the M-Estimator.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Habituating Students to IPR Questions During Creative Project Work.
Proceedings of the CSEDU 2017, 2017

Supporting Institutional Awareness and Academic Advising using Clustered Study Profiles.
Proceedings of the CSEDU 2017, 2017

2016
Expert-based versus citation-based ranking of scholarly and scientific publication channels.
J. Informetrics, 2016

Supporting Cyber Resilience with Semantic Wiki.
Proceedings of the 12th International Symposium on Open Collaboration, 2016

Modelling Recurrent Events for Improving Online Change Detection.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Feature Extractors for Describing Vehicle Routing Problem Instances.
Proceedings of the 5th Student Conference on Operational Research, 2016

DOBRO: a prediction error correcting robot under drifts.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Multicriteria optimized MLP for imbalanced learning.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Comparison of Four- and Six-Layered Configurations for Deep Network Pretraining.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Initialization of big data clustering using distributionally balanced folding.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015
Can icons enhance requirements engineering work?
J. Vis. Lang. Comput., 2015

A New Augmented Lagrangian Approach for L<sup>1</sup>-mean Curvature Image Denoising.
SIAM J. Imaging Sci., 2015

Robust Principal Component Analysis of Data with Missing Values.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2015

Amplifier errors in dry bacteriorhodopsin sensor measurements.
Proceedings of the 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2015

Validation of a time-variant electrical equivalent circuit for a dry bacteriorhodopsin sensor.
Proceedings of the 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2015

Hierarchical, prototype-based clustering of multiple time series with missing values.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Weighted Clustering of Sparse Educational Data.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Assessment of feature saliency of MLP using analytic sensitivity.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Do Country Stereotypes Exist in Educational Data? A Clustering Approach for Large, Sparse, and Weighted Data.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

Project-Based Learning Emphasizing Open Resources and Student Ideation: How to Raise Student Awareness of IPR?
Proceedings of the Computer Supported Education - 7th International Conference, 2015

Open Resources as the Educational Basis for a Bachelor-level Project-Based Course.
Proceedings of the CSEDU 2015, 2015

2014
Aligning Two Specifications for Controlling Information Security.
Int. J. Cyber Warf. Terror., 2014

On Cross-Validation for MLP Model Evaluation.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014

Region of interest detection using MLP.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Context-Sensitive Framework for Visual Analytics in Energy Production from Biomass.
Proceedings of the Information Modelling and Knowledge Bases XXVI, 2014

Icon Recognition and Usability for Requirements Engineering.
Proceedings of the Information Modelling and Knowledge Bases XXVI, 2014

Discovering Gender-Specific Knowledge from Finnish Basic Education using PISA Scale Indices.
Proceedings of the 7th International Conference on Educational Data Mining, 2014

Automating the Parameter Selection in VRP: An Off-line Parameter Tuning Tool Comparison.
Proceedings of the Modeling, Simulation and Optimization for Science and Technology, 2014

2013
Time-variant electrical equivalent circuit of a dry bacteriorhodopsin sensor.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2013

Designing an energy measurement system for an electric vehicle competition - From a student project to a successful race.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2013

Icon Representations in Supporting Requirements Elicitation Process.
Proceedings of the Information Modelling and Knowledge Bases XXV, 2013

2012
Real-Time Mass Flow Estimation in Circulating Fluidized Bed.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2012

Context-Sensitive Approach to Dynamic Visual Analytics of Energy Production Processes.
Proceedings of the Information Modelling and Knowledge Bases XXIV, 2012

2011
Neural Prediction of Product Quality Based on Pilot Paper Machine Process Measurements.
Proceedings of the Adaptive and Natural Computing Algorithms, 2011

2010
Clustering and the perturbed spatial median.
Math. Comput. Model., 2010

A robust approach to ERP denoising.
Proceedings of the 10th International Conference on Information Sciences, 2010

Comparison of MLP cost functions to dodge mislabeled training data.
Proceedings of the International Joint Conference on Neural Networks, 2010

Noise Analysis Compact Genetic Algorithm.
Proceedings of the Applications of Evolutionary Computation, 2010

On Context Modelling in Systems and Applications Development.
Proceedings of the Information Modelling and Knowledge Bases XXII, 20th European-Japanese Conference on Information Modelling and Knowledge Bases (EJC 2010), Jyväskylä, Finland, 31 May, 2010

2009
Online mass flow prediction in CFB boilers with explicit detection of sudden concept drift.
SIGKDD Explor., 2009

Automated software license analysis.
Autom. Softw. Eng., 2009

Handling outliers and concept drift in online mass flow prediction in CFB boilers.
Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, 2009

Online Mass Flow Prediction in CFB Boilers.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2009

Visualizing Time Series State Changes with Prototype Based Clustering.
Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

Ideas about a Regularized MLP Classifier by Means of Weight Decay Stepping.
Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

Enhancing Differential Evolution frameworks by scale factor local search - part II.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Non-smooth SOR for <i>L</i> <sup>1</sup>-Fitting: Convergence Study and Discussion of Related Issues.
J. Sci. Comput., 2008

An Enhanced Memetic Differential Evolution in Filter Design for Defect Detection in Paper Production.
Evol. Comput., 2008

The Value of a Real Customer in a Capstone Project.
Proceedings of the Proceedings 21st Conference on Software Engineering Education and Training, 2008

The "natura non facit saltus" principle in Memetic computing.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Separation of ERP and Noise Subspaces in EEG Data without Whitening.
Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008

Traditional Averaging, Weighted Averaging, and ERPSUB for ERP Denoising in EEG Data - A Comparison of the Convergence Properties.
Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008

2007
Solving a non-smooth eigenvalue problem using operator-splitting methods.
Int. J. Comput. Math., 2007

Power of Recognition: A Conceptual Framework for Agile Capstone Project in Academic Environment.
Proceedings of the Agile Processes in Software Engineering and Extreme Programming, 2007

Extraction of ERP from EEG data.
Proceedings of the 9th International Symposium on Signal Processing and Its Applications, 2007

ProcMiner: Advancing Process Analysis and Management.
Proceedings of the 23rd International Conference on Data Engineering Workshops, 2007

A Memetic Differential Evolution in Filter Design for Defect Detection in Paper Production.
Proceedings of the Applications of Evolutinary Computing, 2007

Fitness diversity based adaptation in Multimeme Algorithms: A comparative study.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Retrieving Open Source Software Licenses.
Proceedings of the Open Source Systems, 2006

ASLA: Reverse Engineering Approach for Software License Information Retrieval.
Proceedings of the 10th European Conference on Software Maintenance and Reengineering (CSMR 2006), 2006

2005
Denoising of Smooth Images Using <i>L</i><sup>1</sup>-Fitting.
Computing, 2005

ExtMiner: Combining Multiple Ranking and Clustering Algorithms for Structured Document Retrieval.
Proceedings of the 16th International Workshop on Database and Expert Systems Applications (DEXA 2005), 2005

2004
Robust Formulations for Training Multilayer Perceptrons.
Neural Comput., 2004

2002
MLP in Layer-Wise Form with Applications to Weight Decay.
Neural Comput., 2002


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