Niken Prasasti

Orcid: 0000-0003-0204-9230

According to our database1, Niken Prasasti authored at least 15 papers between 2014 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Deep Learning-Based Indoor Localization Using Wireless Sensor Network: An Efficient Approach for Livestock Monitoring.
Vietnam. J. Comput. Sci., July, 2024

2023
Automated Cattle Behavior Classification Using Wearable Sensors and Machine Learning Approach.
Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2023

2022
Financial Distress Model Prediction Using Machine Learning: A Case Study on Indonesia's Consumers Cyclical Companies.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Interpreting Arrhythmia Classification Using Deep Neural Network and CAM-Based Approach.
Proceedings of the 6th International Conference on Computational Biology and Bioinformatics, 2022

ECG Signal Classification Using Recurrence Plot-Based Approach and Deep Learning for Arrhythmia Prediction.
Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022

2018
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., 2018

2017
Generating Rules of Action Transition in Errors in Daily Activities from a Virtual Reality-Based Training Data.
Proceedings of the Human Interface and the Management of Information: Supporting Learning, Decision-Making and Collaboration, 2017

Discovering Rules of Subtle Deficits Indicating Mild Cognitive Impairment Using Inductive Logic Programming.
Proceedings of the Human Interface and the Management of Information: Supporting Learning, Decision-Making and Collaboration, 2017

Feature Extraction based on Touch Interaction Data in Virtual Reality-based IADL for Characterization of Mild Cognitive Impairment.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 2: HUCAPP, Porto, Portugal, February 27, 2017

Early diagnosis of mild cognitive impairment: A case study in approaches to inductive-logic programming.
Proceedings of the 16th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2017

2016
Clustering Finger Motion Data from Virtual Reality-Based Training to Analyze Patients with Mild Cognitive Impairment.
Int. J. Softw. Sci. Comput. Intell., 2016

Improving Behavior Prediction Accuracy by Using Machine Learning for Agent-Based Simulation.
Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016

Utilizing finger movement data to cluster patients with everyday action impairment.
Proceedings of the 15th IEEE International Conference on Cognitive Informatics & Cognitive Computing , 2016

2014
Utilizing Customers' Purchase and Contract Renewal Details to Predict Defection in the Cloud Software Industry.
Proceedings of the Knowledge Management and Acquisition for Smart Systems and Services, 2014

Customer Lifetime Value and Defection Possibility Prediction Model Using Machine Learning: An Application to a Cloud-Based Software Company.
Proceedings of the Intelligent Information and Database Systems - 6th Asian Conference, 2014


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