Hand Drawn Optical Circuit Recognition. - Mahdi Rabbani; Reza Khoshkangini; H. S. Nagendraswamy; Mauro Conti (IHCI, 2015)

A Self-Adaptive Context-Aware Group Recommender System. - Reza Khoshkangini; Maria Silvia Pini; Francesca Rossi 001 (AI*IA, 2016)

Machine Learning for Personalized Challenges in a Gamified Sustainable Mobility Scenario. - Reza Khoshkangini; Annapaola Marconi; Giuseppe Valetto (CHI PLAY (Companion), 2017)

Generating Personalized Challenges to Enhance the Persuasive Power of Gamification. - Reza Khoshkangini; Giuseppe Valetto; Annapaola Marconi (PPT@PERSUASIVE, 2017)

Constructing CP-Nets from Users Past Behaviors. - Reza Khoshkangini; Maria Silvia Pini; Francesca Rossi 001; Dinh Tran-Van (CIKM Workshops, 2018)

Constructing CP-Nets from Users Past Selection. - Reza Khoshkangini; Maria Silvia Pini; Francesca Rossi 001 (Australasian Conference on Artificial Intelligence, 2019)

Warranty Claim Rate Prediction Using Logged Vehicle Data. - Reza Khoshkangini; Sepideh Pashami; Slawomir Nowaczyk (EPIA (1), 2019)

Understanding Association Between Logged Vehicle Data and Vehicle Marketing Parameters: Using Clustering and Rule-Based Machine Learning. - Oskar Dahl; Fredrik Johansson; Reza Khoshkangini; Sepideh Pashami; Slawomir Nowaczyk; Pihl Claes (IMMS, 2020)

Embeddings Based Parallel Stacked Autoencoder Approach for Dimensionality Reduction and Predictive Maintenance of Vehicles. - Vandan Revanur; Ayodeji Ayibiowu; Mahmoud Rahat; Reza Khoshkangini (IoT Streams/ITEM@PKDD/ECML, 2020)

Early Prediction of Quality Issues in Automotive Modern Industry. - Reza Khoshkangini; Peyman Sheikholharam Mashhadi; Peter Berck; Saeed Gholami Shahbandi; Sepideh Pashami; Slawomir Nowaczyk; Tobias Niklasson (Inf., 2020)

A hybrid machine learning approach for malicious behaviour detection and recognition in cloud computing. - Mahdi Rabbani; Yongli Wang; Reza Khoshkangini; Hamed Jelodar; Ruxin Zhao; Peng Hu (J. Netw. Comput. Appl., 2020)

A Review on Machine Learning Approaches for Network Malicious Behavior Detection in Emerging Technologies. - Mahdi Rabbani; Yongli Wang; Reza Khoshkangini; Hamed Jelodar; Ruxin Zhao; Sajjad Bagheri Baba Ahmadi; Seyedvalyallah Ayobi (Entropy, 2021)

Automatic generation and recommendation of personalized challenges for gamification. - Reza Khoshkangini; Giuseppe Valetto; Annapaola Marconi; Marco Pistore (User Model. User Adapt. Interact., 2021)

Vehicle Usage Extraction Using Unsupervised Ensemble Approach. - Reza Khoshkangini; Nidhi Rani Kalia; Sachin Ashwathanarayana; Abbas Orand; Jamal Maktoubian; Mohsen Tajgardan (IntelliSys (1), 2022)

Optimization of the Hybrid Feature Learning Algorithm. - Monisha Srihari; Zahra Gholipour; Reza Khoshkangini; Abbas Orand (SAIS, 2022)

Specialized indoor and outdoor scene-specific object detection models. - Mahtab Jamali; Paul Davidsson; Reza Khoshkangini; Martin Georg Ljungqvist; Radu-Casian Mihailescu (ICMV, 2023)

Optimal Task Grouping Approach in Multitask Learning. - Reza Khoshkangini; Mohsen Tajgardan; Peyman Sheikholharam Mashhadi; Thorsteinn S. Rögnvaldsson; Daniel Tegnered (ICONIP (6), 2023)

Predicting Vehicle Behavior Using Multi-task Ensemble Learning. - Reza Khoshkangini; Peyman Sheikholharam Mashhadi; Daniel Tegnered; Jens Lundström; Thorsteinn S. Rögnvaldsson (Expert Syst. Appl., 2023)

A Snapshot-Stacked Ensemble and Optimization Approach for Vehicle Breakdown Prediction. - Reza Khoshkangini; Mohsen Tajgardan; Jens Lundström; Mahdi Rabbani; Daniel Tegnered (Sensors, 2023)

Knowledge Graphs Applications in Smart Cities. - Shilpa Rajan; Enayat Rajabi; Reza Khoshkangini (ICISDM, 2024)

Steered Metaheuristic Optimization Approach for Vehicle Breakdown Prediction. - Mohsen Tajgardan; Reza Khoshkangini; Peyman Mashhadi (ICISDM, 2024)

Hierarchical Transfer Multi-task Learning Approach for Scene Classification. - Reza Khoshkangini; Mohsen Tajgardan; Mahtab Jamali; Martin Georg Ljungqvist; Radu-Casian Mihailescu; Paul Davidsson (ICPR (1), 2024)

Video-Audio Multimodal Fall Detection Method. - Mahtab Jamali; Paul Davidsson; Reza Khoshkangini; Radu-Casian Mihailescu; Elin Sexton; Viktor Johannesson; Jonas Tillström (PRICAI (4), 2024)

A Fault Forecasting Approach Using Two-Dimensional Optimization. - Mohsen Tajgardan; Reza Khoshkangini; Abbas Orand; Mahdi Rabbani (WF-IoT, 2024)

Empirical Evaluation of Machine Learning Models for Fuel Consumption, Driver Identification, and Behavior Prediction. - Jamal Maktoubian; Son N. Tran; Anna Shillabeer; Muhammad Bilal Amin; Lawrence Sambrooks; Reza Khoshkangini (IEEE Trans. Intell. Transp. Syst., 2024)

Advanced Stock Market Prediction Using Unsupervised Federated Learning Techniques. - Mohsen Tajgardan; Atena Shiranzaei; Mahtab Jamali; Reza Khoshkangini; Mahdi Rabbani (CSICC, 2025)

Context in object detection: a systematic literature review. - Mahtab Jamali; Paul Davidsson; Reza Khoshkangini; Martin Georg Ljungqvist; Radu-Casian Mihailescu (Artif. Intell. Rev., 2025)