Related references
Note: Only part of the references are listed.A Novel Semi-Supervised Learning Approach to Pedestrian Reidentification
Hua Han et al.
IEEE INTERNET OF THINGS JOURNAL (2021)
Semi-supervised deep ensemble learning for travel mode identification
James J. Q. Yu
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2020)
Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks
Yuanyuan Chen et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)
Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data
Sina Dabiri et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2020)
Parallel End-to-End Autonomous Mining: An IoT-Oriented Approach
Yu Gao et al.
IEEE INTERNET OF THINGS JOURNAL (2020)
Urban sensing based on mobile phone data: approaches, applications, and challenges
Mohammadhossein Ghahramani et al.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA (2020)
Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management
Fenghua Zhu et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)
Deep Fuzzy K-Means With Adaptive Loss and Entropy Regularization
Rui Zhang et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2020)
Reinforcement Learning Based Data Fusion Method for Multi-Sensors
Tongle Zhou et al.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA (2020)
Ensemble Convolutional Neural Networks for Mode Inference in Smartphone Travel Survey
Ali Yazdizadeh et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
Takeru Miyato et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2019)
A Novel Input Set for LSTM-based Transport Mode Detection
Guven Asci et al.
2019 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS (PERCOM WORKSHOPS) (2019)
Robust Neighborhood Graphing for Semi-Supervised Indoor Localization With Light-Loaded Location Fingerprinting
Mu Zhou et al.
IEEE INTERNET OF THINGS JOURNAL (2018)
Travel Mode Detection Using GPS Data and Socioeconomic Attributes Based on a Random Forest Classifier
Bao Wang et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2018)
Inferring transportation modes from GPS trajectories using a convolutional neural network
Sina Dabiri et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2018)
Context-Aware Computing, Learning, and Big Data in Internet of Things: A Survey
Omer Berat Sezer et al.
IEEE INTERNET OF THINGS JOURNAL (2018)
A Novel Indexing Method for Scalable IoT Source Lookup
Seyed Amir Hoseinitabatabaei et al.
IEEE INTERNET OF THINGS JOURNAL (2018)
The University of Sussex-Huawei Locomotion and Transportation Dataset for Multimodal Analytics With Mobile Devices
Hristijan Gjoreski et al.
IEEE ACCESS (2018)
Benchmarking the SHL Recognition Challenge with Classical and Deep-Learning Pipelines
Lin Wang et al.
PROCEEDINGS OF THE 2018 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2018 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS (UBICOMP/ISWC'18 ADJUNCT) (2018)
Who you are is how you travel: A framework for transportation mode detection using individual and environmental characteristics
Thanos Bantis et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2017)
Deep Feature Extraction from Trajectories for Transportation Mode Estimation
Yuki Endo et al.
ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2016, PT II (2016)
Transportation Mode Detection on Mobile Devices Using Recurrent Nets
Toan H. Vu et al.
MM'16: PROCEEDINGS OF THE 2016 ACM MULTIMEDIA CONFERENCE (2016)
Applying Machine Learning Techniques to Transportation Mode Recognition Using Mobile Phone Sensor Data
Arash Jahangiri et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2015)
Trajectory Data Mining: An Overview
Yu Zheng
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (2015)
Novel Sampling Algorithm for Human Mobility-Based Mobile Phone Sensing
Thejaswini M. P. Rajalakshmi et al.
IEEE INTERNET OF THINGS JOURNAL (2015)
Big Data Small Footprint: The Design of A Low-Power Classifier for Detecting Transportation Modes
Meng-Chieh Yu et al.
PROCEEDINGS OF THE VLDB ENDOWMENT (2014)
Transportation mode recognition using GPS and accelerometer data
Tao Feng et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2013)
Share Paper
