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ORCIDNiken Prasasti
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2020 – today
- 2024
[j3]Niken Prasasti Martono
, Tomohide Sawada, Tom Uchino, Hayato Ohwada:
Deep Learning-Based Indoor Localization Using Wireless Sensor Network: An Efficient Approach for Livestock Monitoring. Vietnam. J. Comput. Sci. 11(3): 447-463 (2024)- [c13]Shuzo Kitano, Akimasa Ebihara, Tomohide Sawada, Niken Prasasti Martono, Hayato Ohwada:
Precision 3D Motion Capture Using Pose Estimation Techniques: Application in Sports Video Analysis. PKAW 2024: 214-225 - 2023
- [c12]Niken Prasasti Martono, Rie Sawado, Itoko Nonaka, Fuminori Terada, Hayato Ohwada:
Automated Cattle Behavior Classification Using Wearable Sensors and Machine Learning Approach. PKAW 2023: 58-69 - 2022
- [c11]Niken Prasasti Martono, Toru Nishiguchi, Hayato Ohwada:
ECG Signal Classification Using Recurrence Plot-Based Approach and Deep Learning for Arrhythmia Prediction. ACIIDS (1) 2022: 327-335 - [c10]Niken Prasasti Martono, Toru Nishiguchi, Hayato Ohwada:
Interpreting Arrhythmia Classification Using Deep Neural Network and CAM-Based Approach. ICCBB 2022: 35-40 - [c9]Niken Prasasti Martono, Hayato Ohwada:
Financial Distress Model Prediction Using Machine Learning: A Case Study on Indonesia's Consumers Cyclical Companies. PKDD/ECML Workshops (2) 2022: 53-61
2010 – 2019
- 2018
- [j2]Niken Prasasti Martono, Keisuke Abe, Takehiko Yamaguchi, Hayato Ohwada:
An Analysis of Motion Transition in Subtle Errors using Inductive Logic Programming: A Case Study in Approaches to Mild Cognitive Impairment. Int. J. Softw. Sci. Comput. Intell. 10(1): 27-37 (2018) - 2017
- [c8]Niken Prasasti Martono, Takehiko Yamaguchi, Hayato Ohwada:
Early diagnosis of mild cognitive impairment: A case study in approaches to inductive-logic programming. IEEE ICCI*CC 2017: 262-267 - [c7]Yuki Kubota, Takehiko Yamaguchi, Takuya Maeta, Yosuke Okada, Yoshihito Miura, Niken Prasasti Martono, Hayato Ohwada, Tania Giovannetti:
Feature Extraction based on Touch Interaction Data in Virtual Reality-based IADL for Characterization of Mild Cognitive Impairment. VISIGRAPP (2: HUCAPP) 2017: 152-157 - [c6]Niken Prasasti Martono, Keisuke Abe, Takehiko Yamaguchi, Hayato Ohwada, Tania Giovannetti:
Generating Rules of Action Transition in Errors in Daily Activities from a Virtual Reality-Based Training Data. HCI (4) 2017: 166-175 - [c5]Keisuke Abe, Niken Prasasti Martono, Takehiko Yamaguchi, Hayato Ohwada, Tania Giovannetti:
Discovering Rules of Subtle Deficits Indicating Mild Cognitive Impairment Using Inductive Logic Programming. HCI (4) 2017: 331-340 - 2016
- [j1]Niken Prasasti Martono, Takehiko Yamaguchi, Takuya Maeta, Hibiki Fujino, Yuki Kubota, Hayato Ohwada, Tania Giovannetti:
Clustering Finger Motion Data from Virtual Reality-Based Training to Analyze Patients with Mild Cognitive Impairment. Int. J. Softw. Sci. Comput. Intell. 8(4): 29-42 (2016) - [c4]Niken Prasasti Martono, Takehiko Yamaguchi, Hayato Ohwada:
Utilizing finger movement data to cluster patients with everyday action impairment. ICCI*CC 2016: 459-464 - [c3]Shinji Hayashi, Niken Prasasti, Katsutoshi Kanamori, Hayato Ohwada:
Improving Behavior Prediction Accuracy by Using Machine Learning for Agent-Based Simulation. ACIIDS (1) 2016: 280-289 - 2014
- [c2]Niken Prasasti, Masato Okada, Katsutoshi Kanamori, Hayato Ohwada:
Customer Lifetime Value and Defection Possibility Prediction Model Using Machine Learning: An Application to a Cloud-Based Software Company. ACIIDS (2) 2014: 62-71 - [c1]Niken Prasasti Martono, Katsutoshi Kanamori, Hayato Ohwada:
Utilizing Customers' Purchase and Contract Renewal Details to Predict Defection in the Cloud Software Industry. PKAW 2014: 138-149
Coauthor Index
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