| Bi-modal deep Boltzmann machine based musical emotion classification M Huang, W Rong, T Arjannikov, N Jiang, Z Xiong Artificial Neural Networks and Machine Learning–ICANN 2016: 25th …, 2016 | 18 | 2016 |
| Using markov chains to model sensor network reliability T Arjannikov, S Diemert, S Ganti, C Lampman, EC Wiebe Proceedings of the 12th International Conference on Availability …, 2017 | 11 | 2017 |
| An Association-based Approach to Genre Classification in Music. T Arjannikov, JZ Zhang ISMIR, 95-100, 2014 | 11 | 2014 |
| A social crowdsourcing community case study: Interaction patterns, evolution, and factors that affect them K Zaamout, T Arjannikov, K Barker IEEE Transactions on Computational Social Systems 7 (3), 659-671, 2020 | 6 | 2020 |
| Verifying tag annotations through association analysis T Arjannikov, C Sanden, JZ Zhang Proceedings of the International Society for Music Information Retrieval …, 2013 | 6 | 2013 |
| An empirical study on structured dichotomies in music genre classification T Arjannikov, JZ Zhang 2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015 | 4 | 2015 |
| An empirical investigation of PU learning for predicting length of stay T Arjannikov, G Tzanetakis 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI), 41-47, 2021 | 2 | 2021 |
| Cold-Start Hospital Length of Stay Prediction Using Positive-Unlabeled Learning T Arjannikov, G Tzanetakis 2021 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2021 | 1 | 2021 |
| Corrections to “A Social Crowdsourcing Community Case Study: Interaction Patterns, Evolution, and Factors That Affect Them” K Zaamout, T Arjannikov, K Barker IEEE Transactions on Computational Social Systems 7 (5), 1317-1317, 2020 | 1 | 2020 |
| Histogram-Based Asymmetric Relabeling for Learning from Only Positive and Unlabeled Data T Arjannikov, G Tzanetakis 2017 16th IEEE International Conference on Machine Learning and Applications …, 2017 | 1 | 2017 |
| 90 School-based Implementation of Educational and Neurocognitive Interventions in Children with Neurodevelopmental Disorders. Y Kim, S Masters, JM Lewis, S Guo, T Arjannikov, J Sheehan, B Bedir, ... Journal of the International Neuropsychological Society 29 (s1), 190-191, 2023 | | 2023 |
| 83 Efficacy of a Tablet-Based Cognitive Flexibility Intervention in Youth with Executive Function Deficits JM Lewis, SB Masters, Y Kim, S Guo, J Sheehan, B Bedir, T Arjannikov, ... Journal of the International Neuropsychological Society 29 (s1), 184-185, 2023 | | 2023 |
| Positive unlabeled learning applications in music and healthcare T Arjannikov | | 2021 |
| Do Nested Dichotomies Help in Automatic Music Genre Classification? An Empirical Study T Arjannikov, JZ Zhang ICMC, 2016 | | 2016 |
| Verifying tag annotation and performing genre classification in music data via association analysis T Arjannikov University of Lethbridge (Canada), 2015 | | 2015 |
