Takashi Morita
Orcid: 0000-0002-3900-5410Affiliations:
- Chubu University, Center for Mathematical Science and Artificial Intelligence, Kasugai, Japan
- Osaka University, Institute of Scientific and Industrial Research, Japan (2021 - 2023)
- Kyoto University, Primate Research Institute, Inuyama, Japan (2018 - 2020)
- Massachusetts Institute of Technology, Cambridge, MA, USA (PhD 2018)
According to our database1,
Takashi Morita
authored at least 18 papers
between 2018 and 2025.
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Bibliography
2025
Unsupervised Classification of English Words Based on Phonological Information: Discovery of Germanic and Latinate Clusters.
CoRR, April, 2025
CoRR, February, 2025
Neurocomputing, 2025
2024
Granger causality-based cluster sequence mining for spatio-temporal causal relation mining.
Int. J. Data Sci. Anal., April, 2024
Trans. Mach. Learn. Res., 2024
IEEE Access, 2024
Oscillation-Driven Reservoir Computing for Long-Term Replication of Chaotic Time Series.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024
2023
Mach. Learn. Sci. Technol., March, 2023
CoRR, 2023
Proceedings of the Artificial Neural Networks and Machine Learning, 2023
2022
Sensors, 2022
2021
PLoS Comput. Biol., 2021
Effects of short-term isolation on social animals' behavior: An experimental case study of Japanese macaque.
Ecol. Informatics, 2021
2020
Animals exhibit consistent individual differences in their movement: A case study on location trajectories of Japanese macaques.
Ecol. Informatics, 2020
Exploring TTS Without T Using Biologically/Psychologically Motivated Neural Network Modules (ZeroSpeech 2020).
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
2019
Neural language models as psycholinguistic subjects: Representations of syntactic state.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
2018
CoRR, 2018
Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018