Hany Ferdinando

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Esko AlasaarelaProfessori, Oulun yliopistoVerified email at ee.oulu.fi
Tapio SeppänenProfessor of biomedical engineering, University of OuluVerified email at oulu.fi
Handry KhoswantoUniversitas Kristen PetraVerified email at petra.ac.id
Djoko PurwantoDepartment of Electrical Engineering, Institut Teknologi Sepuluh NopemberVerified email at its.ac.id
Handy WicaksonoPetra Christian UniversityVerified email at petra.ac.id
Felix PasilaAssociate Professor, Petra Christian UniversityVerified email at petra.ac.id
Tuija HuukiAssociate Professor/ University Researcher, University of OuluVerified email at oulu.fi
Iwan Njoto SandjajaPh.D. Student in Computer Engineering MS&TVerified email at mst.edu
Zuomin ZhaoResearcher, University of Oulu, Faculty of ITEE, OPEM unit.Verified email at oulu.fi
Thiang .Petra Christian UniversityVerified email at petra.ac.id
Jan F. BroeninkAssociate Professor of Embedded Control SystemsVerified email at utwente.nl
Sakari KarhulaPhD; Research Unit of Medical Imaging, Physics and Technology; University of OuluVerified email at oulu.fi
Resmana LimPetra Christian UniversityVerified email at petra.ac.id
Lauri RaitamaaOulu Functional NeuroimagingVerified email at oulu.fi
Jorge SerradorProfessor, MARCS Institute for Brain, Behaviour and Development, Western Sydney UniversityVerified email at westernsydney.edu.au
Michelle E. FavreRutgers Biomedical and Health SciencesVerified email at rutgers.edu
Sautma Ronni BasanaUniversitas Kristen Petra (Petra Christian University)Verified email at petra.ac.id
Heri Saptono WarpindyasmoroPetra Christian UniversityVerified email at petra.ac.id
Dian Retno Sari DewiUniversitas Katolik Widya Mandala SurabayaVerified email at ukwms.ac.id

Hany Ferdinando

Doctoral student, University of Oulu

Verified email at petra.ac.id

signal processing (especially biosignal)machine learning


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Comparing features from ECG pattern and HRV analysis for emotion recognition system H Ferdinando, T Seppänen, E Alasaarela 2016 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2016	67	2016
Embedded Kalman filter for inertial measurement unit (IMU) on the ATMega8535 H Ferdinando, H Khoswanto, D Purwanto 2012 International Symposium on Innovations in Intelligent Systems and …, 2012	61	2012
Enhancing emotion recognition from ECG signals using supervised dimensionality reduction H Ferdinando, T Seppänen, E Alasaarela 6th International Conference on Pattern Recognition Applications and Methods …, 2017	48	2017
Emotion recognition by heart rate variability H Ferdinando, L Ye, T Seppänen, E Alasaarela Australian Journal of Basic and Applied Science 8 (14), 50-55, 2014	45	2014
Campus violence detection based on artificial intelligent interpretation of surveillance video sequences L Ye, T Liu, T Han, H Ferdinando, T Seppänen, E Alasaarela Remote Sensing 13 (4), 628, 2021	33	2021
An instance-based physical violence detection algorithm for school bullying prevention L Ye, H Ferdinando, T Seppänen, T Huuki, E Alasaarela 2015 International Wireless Communications and Mobile Computing Conference …, 2015	31	2015
Physical violence detection for preventing school bullying L Ye, H Ferdinando, T Seppänen, E Alasaarela Advances in Artificial Intelligence 2014, 5-5, 2014	28	2014
A combined motion-audio school bullying detection algorithm L Ye, P Wang, L Wang, H Ferdinando, T Seppänen, E Alasaarela International Journal of Pattern Recognition and Artificial Intelligence 32 …, 2018	22	2018
Emotion recognition using neighborhood components analysis and ecg/hrv-based features H Ferdinando, T Seppänen, E Alasaarela Pattern Recognition Applications and Methods: 6th International Conference …, 2018	19	2018
Aplikasi Scada System pada Miniatur Water Level Control A Susiono, H Wicaksono, H Ferdinando Jurnal Teknik Elektro 6 (1), 2006	18	2006
Optics based label-free techniques and applications in brain monitoring P Karthikeyan, S Moradi, H Ferdinando, Z Zhao, T Myllylä Applied Sciences 10 (6), 2196, 2020	17	2020
Emotion recognition and school violence detection from children speech T Han, J Zhang, Z Zhang, G Sun, L Ye, H Ferdinando, E Alasaarela, ... EURASIP Journal on Wireless Communications and Networking 2018 (1), 1-10, 2018	16	2018
A video-based DT–SVM school violence detecting algorithm L Ye, L Wang, H Ferdinando, T Seppänen, E Alasaarela Sensors 20 (7), 2018, 2020	15	2020
Violence detection from ECG signals: a preliminary study H Ferdinando, L Ye, T Han, Z Zhang, G Sun, T Huuki, T Seppänen, ... Journal of Pattern Recognition Research, 2017	14	2017
Combined surface electromyography, near-infrared spectroscopy and acceleration recordings of muscle contraction: The effect of motion K Kauppi, V Korhonen, H Ferdinando, M Kallio, T Myllylä Journal of Innovative Optical Health Sciences 10 (02), 1650056, 2017	14	2017
Techniques in pattern recognition for school bullying prevention: Review and outlook L Ye, H Ferdinando, E Alasaarela Journal of Pattern Recognition Research 9 (1), 50-63, 2014	13	2014
Emotion recognition using cvxEDA-based features H Ferdinando, E Alasaarela Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 10 …, 2018	12	2018
Performance evaluation of MMA7260QT and ADXL345 on self balancing robot H Ferdinando, H Khoswanto, D Purwanto Telkomnika 11 (1), 1-10, 2013	12	2013
Dasar-dasar Sinyal dan Sistem H Ferdinando Jurnal Ilmiah 5, 12-17, 2010	12	2010
Enhanced neuro-fuzzy architecture for electrical load forecasting H Ferdinando, F Pasila, H Kuswanto Telkomnika, 2010	12	2010

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