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ORCIDReza Khoshkangini
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2020 – today
- 2024
[j7]Jamal Maktoubian
, Son N. Tran, Anna Shillabeer, Muhammad Bilal Amin, Lawrence Sambrooks, Reza Khoshkangini:
Empirical Evaluation of Machine Learning Models for Fuel Consumption, Driver Identification, and Behavior Prediction. IEEE Trans. Intell. Transp. Syst. 25(12): 19156-19175 (2024)- [c17]Mohsen Tajgardan, Reza Khoshkangini, Peyman Mashhadi:
Steered Metaheuristic Optimization Approach for Vehicle Breakdown Prediction. ICISDM 2024: 128-135 - [c16]Shilpa Rajan, Enayat Rajabi, Reza Khoshkangini:
Knowledge Graphs Applications in Smart Cities. ICISDM 2024: 136-141 - [c15]Reza Khoshkangini, Mohsen Tajgardan, Mahtab Jamali, Martin Georg Ljungqvist, Radu-Casian Mihailescu, Paul Davidsson:
Hierarchical Transfer Multi-task Learning Approach for Scene Classification. ICPR (1) 2024: 231-248 - [c14]Mahtab Jamali, Paul Davidsson, Reza Khoshkangini, Radu-Casian Mihailescu, Elin Sexton, Viktor Johannesson, Jonas Tillström:
Video-Audio Multimodal Fall Detection Method. PRICAI (4) 2024: 62-75 - 2023
- [j6]Reza Khoshkangini, Peyman Sheikholharam Mashhadi, Daniel Tegnered, Jens Lundström, Thorsteinn S. Rögnvaldsson:
Predicting Vehicle Behavior Using Multi-task Ensemble Learning. Expert Syst. Appl. 212: 118716 (2023) - [j5]Reza Khoshkangini, Mohsen Tajgardan, Jens Lundström, Mahdi Rabbani, Daniel Tegnered:
A Snapshot-Stacked Ensemble and Optimization Approach for Vehicle Breakdown Prediction. Sensors 23(12): 5621 (2023) - [c13]Mahtab Jamali, Paul Davidsson, Reza Khoshkangini, Martin Georg Ljungqvist, Radu-Casian Mihailescu:
Specialized indoor and outdoor scene-specific object detection models. ICMV 2023 - [c12]Reza Khoshkangini, Mohsen Tajgardan, Peyman Sheikholharam Mashhadi, Thorsteinn S. Rögnvaldsson, Daniel Tegnered:
Optimal Task Grouping Approach in Multitask Learning. ICONIP (6) 2023: 206-225 - 2022
- [c11]Reza Khoshkangini, Nidhi Rani Kalia, Sachin Ashwathanarayana, Abbas Orand, Jamal Maktoubian, Mohsen Tajgardan:
Vehicle Usage Extraction Using Unsupervised Ensemble Approach. IntelliSys (1) 2022: 588-604 - [c10]Monisha Srihari, Zahra Gholipour, Reza Khoshkangini, Abbas Orand:
Optimization of the Hybrid Feature Learning Algorithm. SAIS 2022: 1-8 - 2021
- [j4]Mahdi Rabbani, Yongli Wang, Reza Khoshkangini, Hamed Jelodar, Ruxin Zhao, Sajjad Bagheri Baba Ahmadi, Seyedvalyallah Ayobi:
A Review on Machine Learning Approaches for Network Malicious Behavior Detection in Emerging Technologies. Entropy 23(5): 529 (2021) - [j3]Reza Khoshkangini, Giuseppe Valetto, Annapaola Marconi, Marco Pistore:
Automatic generation and recommendation of personalized challenges for gamification. User Model. User Adapt. Interact. 31(1): 1-34 (2021) - 2020
- [j2]Reza Khoshkangini, Peyman Sheikholharam Mashhadi, Peter Berck, Saeed Gholami Shahbandi, Sepideh Pashami, Slawomir Nowaczyk, Tobias Niklasson:
Early Prediction of Quality Issues in Automotive Modern Industry. Inf. 11(7): 354 (2020) - [j1]Mahdi Rabbani, Yongli Wang, Reza Khoshkangini, Hamed Jelodar, Ruxin Zhao, Peng Hu:
A hybrid machine learning approach for malicious behaviour detection and recognition in cloud computing. J. Netw. Comput. Appl. 151 (2020) - [c9]Oskar Dahl, Fredrik Johansson, Reza Khoshkangini, Sepideh Pashami, Slawomir Nowaczyk, Pihl Claes:
Understanding Association Between Logged Vehicle Data and Vehicle Marketing Parameters: Using Clustering and Rule-Based Machine Learning. IMMS 2020: 13-22 - [c8]Vandan Revanur, Ayodeji Ayibiowu, Mahmoud Rahat, Reza Khoshkangini:
Embeddings Based Parallel Stacked Autoencoder Approach for Dimensionality Reduction and Predictive Maintenance of Vehicles. IoT Streams/ITEM@PKDD/ECML 2020: 127-141
2010 – 2019
- 2019
- [c7]Reza Khoshkangini, Maria Silvia Pini, Francesca Rossi:
Constructing CP-Nets from Users Past Selection. Australasian Conference on Artificial Intelligence 2019: 130-142 - [c6]Reza Khoshkangini, Sepideh Pashami, Slawomir Nowaczyk:
Warranty Claim Rate Prediction Using Logged Vehicle Data. EPIA (1) 2019: 663-674 - 2018
- [c5]Reza Khoshkangini, Maria Silvia Pini, Francesca Rossi, Dinh Tran-Van:
Constructing CP-Nets from Users Past Behaviors. CIKM Workshops 2018 - 2017
- [c4]Reza Khoshkangini, Annapaola Marconi, Giuseppe Valetto:
Machine Learning for Personalized Challenges in a Gamified Sustainable Mobility Scenario. CHI PLAY (Companion) 2017: 361-368 - [c3]Reza Khoshkangini, Giuseppe Valetto, Annapaola Marconi:
Generating Personalized Challenges to Enhance the Persuasive Power of Gamification. PPT@PERSUASIVE 2017: 70-83 - 2016
- [c2]Reza Khoshkangini, Maria Silvia Pini, Francesca Rossi:
A Self-Adaptive Context-Aware Group Recommender System. AI*IA 2016: 250-265 - 2015
- [c1]Mahdi Rabbani, Reza Khoshkangini, H. S. Nagendraswamy, Mauro Conti:
Hand Drawn Optical Circuit Recognition. IHCI 2015: 41-48
Coauthor Index
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