Jose Paolo Talusan

About Jose Paolo Talusan

Jose Paolo Talusan, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Nara Institute of Science and Technology, specializes in the field of Ubiquitous Computing, Distributed Computing, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

An Online Approach to Solving Public Transit Stationing and Dispatch Problem

Forecasting and Mitigating Disruptions in Public Bus Transit Services

Scalable Pythagorean Mean based Incident Detection in Smart Transportation Systems

Addressing APC Data Sparsity in Predicting Occupancy and Delay of Transit Buses: A Multitask Learning Approach

Hprop: Hierarchical privacy-preserving route planning for smart cities

On Designing Day Ahead and Same Day Ridership Level Prediction Models for City-Scale Transit Networks Using Noisy APC Data

Anomaly based incident detection in large scale smart transportation systems

FedTour: Participatory Federated Learning of Tourism Object Recognition Models with Minimal Parameter Exchanges between User Devices

Jose Paolo Talusan Information

University

Position

___

Citations(all)

70

Citations(since 2020)

68

Cited By

24

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

2

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

Jose Paolo Talusan Skills & Research Interests

Ubiquitous Computing

Distributed Computing

Machine Learning

Top articles of Jose Paolo Talusan

An Online Approach to Solving Public Transit Stationing and Dispatch Problem

2024/5

Forecasting and Mitigating Disruptions in Public Bus Transit Services

2024

Scalable Pythagorean Mean based Incident Detection in Smart Transportation Systems

ACM Transactions on Cyber-Physical Systems

2023/6

Addressing APC Data Sparsity in Predicting Occupancy and Delay of Transit Buses: A Multitask Learning Approach

2023

Hprop: Hierarchical privacy-preserving route planning for smart cities

ACM Transactions on Cyber-Physical Systems

2023/10/14

On Designing Day Ahead and Same Day Ridership Level Prediction Models for City-Scale Transit Networks Using Noisy APC Data

2022/12

Anomaly based incident detection in large scale smart transportation systems

2022/5/4

FedTour: Participatory Federated Learning of Tourism Object Recognition Models with Minimal Parameter Exchanges between User Devices

2022/3/21

Jose Paolo Talusan
Jose Paolo Talusan

H-Index: 3

Keiichi Yasumoto
Keiichi Yasumoto

H-Index: 19

User-centric distributed route planning in smart cities based on multi-objective optimization

2021/8/23

ProceThings: data processing platform with in-situ IoT devices for smart community services

2021/1/5

Design and Implementation of Decentralized Smart City Services on the Edge

2020/12/31

Route planning through distributed computing by road side units

IEEE Access

2020/9/25

Time-dependent decentralized routing using federated learning

2020/5/19

On decentralized route planning using the road side units as computing resources

2020/4/21

See List of Professors in Jose Paolo Talusan University(Nara Institute of Science and Technology)

Co-Authors

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