FROM THE RESEARCH ARCHIVE
Research updates, publications and announcements from the NORC archive.
Intelligent Multi-Dimensional Paper Scoring Framework (IMPSF), a novel methodology for the quantitative and reproducible evaluation of scholarly literature. The IMPSF employs a multi-agent system to assess papers across four key dimensions: Technical Innovation, Empirical Rigor, Cinematic…
Read update ↗A systematic review for 2019–2025 on deep learning models in the film production industry Behnam Yousefimehr, Mehdi Ghatee, Shervin Ghaffari, Arash Arasteh, Parsa Ahmadi, Amirhossein Ghane, Sina Esnaasharieh Entertainment Computing Volume 56, January 2026, 101076 Highlights: Proposes IMPSF: a novel, quantitative framework for evaluating AI in film research Analyzes filmmaking pillars: Scriptwriting,…
Read update ↗Multi-Teacher Knowledge Distillation Framework for Lightweight Anomaly Detection Behnam Yousefimehr, Mehdi Ghatee, Roozbeh Razavi-FarNeural Networks, Volume 195, March 2026, 108267 Highlights: Deploys a lightweight and compressed student model for resource-constrained environments. Learns from multiple resampled data…
Read update ↗Our paper “A Systematic Survey and Empirical Comparison of Hybrid Methods for Imbalanced Fraud Detection: Combining Resampling and Machine Learning” by Behnam Yousefimehr; Mehdi Ghatee has been published in AUT Journal of Mathematics and Computing. The…
Read update ↗Mitigating over-smoothing in Graph Neural Networks for node classification through Adaptive Early Embedding and Biased DropEdge procedures By Fateme Hoseinnia, Mehdi Ghatee, Mostafa Haghir Chehreghani has been accepted in "Knowledge-Based Systems". Highlights: Proposes Adaptive Early Embedding for nodes to mitigate GNNs…
Read update ↗Superior scoring rules for probabilistic evaluation of single-label multi-class classification tasks By Rouhollah Ahmadian, Mehdi Ghatee, Johan Wahlström has been accepted in “International Journal of Approximate Reasoning“. Highlights: Traditional scoring rules may favor misclassifications over correct predictions. Proposes “Superiority” to ensure…
Read update ↗Isfahan Artificial Intelligence Event 2023: Reflux Detection Competition By: Kenari, Azra Rasouli; Montazerolghaem, Ahmadreza; Zojaji, Zahra; Ghatee, Mehdi; Yousefimehr, Behnam; Rahmani, Amin; Kalani, Mahdi; Kiyanpour, Farnoush; Kiani-Abari, Mohamad; Fakhar, Mohammad Yasin; Rezaei, Safiyeh; Tahernia, Mojtaba; Vafaie,…
Read update ↗The second Amirkabir Data Mining & Artificial Intelligence Day (DAI-DAY-2025) event was held on February 5, 2025 at Amirkabir University of Technology. It was met by researchers, students, technology professionals, and interdisciplinary enthusiasts. The event, which…
Read update ↗Resampled cost-sensitive Operational Machine learning Ensemble (ROME) framework for car insurance fraud detection By Behnam Yousefimehr, Mehdi Ghatee, Ayin Ghazimoradi, Vista Farahifar has been accepted in "International Journal of Information and Communication Technology Research". Abstract This…
Read update ↗Fast inference in classification of optical coherence tomography (OCT) images for real-time retinal disease diagnosis By Amin Rahmani, Mehdi Ghatee has been accepted in “Biomedical Signal Processing and Control“. Highlights Novel energy based early exiting schema. Novel method…
Read update ↗Detecting Car Insurance Fraud Using Improved Clustering with Genetic AlgorithmBy Behnam Yousefimehr, Mehdi Ghatee, Sina Moradi, Yasamin Tafakor, Sajed Tavakolihas been accepted in "Iranian Journal of Insurance Research (IJIR)" Abstract: BACKGROUND AND OBJECTIVES: Clustering is one…
Read update ↗Enhancing user identification through batch averaging of independent window subsequences using smartphone and wearable data By Rouhollah Ahmadian, Mehdi Ghatee, Johan Wahlström has been accepted in "Computers & Security". Highlights: •Introduced primary and mixed patterns for spatio-temporal data classification. •Addressed uncertainty…
Read update ↗A distribution-preserving method for resampling combined with LightGBM-LSTM for sequence-wise fraud detection in credit card transactions By Behnam Yousefimehr, Mehdi Ghatee has been accepted in "Expert Systems with Applications". Abstract: Fraud detection is a challenging task that…
Read update ↗Improved User Identification through Calibrated Monte-Carlo Dropout By Rouhollah Ahmadian, Mehdi Ghatee, Johan Wahlström, has been accepted in “Knowledge-Based Systems". Abstract: This paper presents an enhanced approach to user identification using smartphone and wearable sensor data. Our…
Read update ↗An Ensemble of Deep Clustering Models with Autoencoders to Mine Travel Patterns from Smart Card Data By: Sharon Saroonian, Behnam Yousefimehr, Mehdi Ghatee, Mohammad Mahdi Bejani has been accepted "IEEE Transactions on Intelligent Transportation Systems"
Read update ↗Uncertainty Quantification to Enhance Probabilistic Fusion Based User Identification Using Smartphones By R Ahmadian, M Ghatee, J Wahlström, H Zare has been accepted in "IEEE Internet of Things Journal". Abstract: User identification through smartphones and wearable…
Read update ↗Enhanced Multi-Modal Gas Leakage Detection with NSMOTE: A Novel Over-sampling Approach By Aref Azizian, Behnam Yousefimehr, Mehdi Ghatee has been published in "2024 8th International Conference on Smart Cities, Internet of Things and Applications (SCIoT)". Abstract:…
Read update ↗Calibrated SVM for Probabilistic Classification of In-Vehicle Voices into Vehicle Commands via Voice-to-Text LLM Transformation By M Moeini, R Ahmadian, M Ghatee has been accepted in "2024 8th International Conference on Smart Cities, Internet of Things…
Read update ↗A new Series of NORC Seminars (SNS-II) will be started from 20 December 2023 (29 Azar 1402)Every week: 10:00-11:00Location: Department of Mathematics and Computer Science, Amirkabir University of Technology, Hafez Ave., Tehran, Iran. Seminars Topics: Week…
Read update ↗Springer published the accepted papers of ICAISV-2023 in CCIS series. To see the papers, refer to: Artificial Intelligence and Smart Vehicles First International Conference, ICAISV 2023, Tehran, Iran, May 24-25, 2023, Revised Selected Papers Editors: Mehdi…
Read update ↗Hello. With the start of the academic year approaching, I have made my book, “Linear Optimization and Combinatorial Optimization,” publicly available on ResearchGate for students and others interested in this field. Anyone interested may use this…
Read update ↗You can follow the media of International Conference on Artificial Intelligence and Smart Vehicle-2023 at the following link: Youtube https://www.youtube.com/@ICAISV
Read update ↗The first International Conference on Artificial Intelligence and Smart Vehicle was held on May 24 & 25, 2023 (3 & 4 Khordad 1402) at Amirkabir University of Technology. In this conference, Dr. Ahmad Vahidi (Minister of…
Read update ↗"Discrete Wavelet Transform for Generative Adversarial Network to Identify Drivers Using Gyroscope and Accelerometer Sensors" has been published By: Rouhollah Ahmadian; Mehdi Ghatee; Johan Wahlström in IEEE Sensors Journal Volume ?, ?, Pages ?. Abstract: Driver…
Read update ↗We have published a new conference paper titled as "Intelligent Transportation Systems Architecture for Shiraz metropolis considering tourism, human-oriented and data-mining services", by Mr. Masoud Tahmasbi, Deputy for Traffic and Transportation of Shiraz Municipality,Mr. Mehdi Akbarpour,…
Read update ↗"Distance-Aware Optimization Model for Influential Nodes Identification in Social Networks with Independent Cascade Diffusion" has been published By: Neda Binesh, Mehdi Ghatee, in Information Sciences, Volume ,581, December 2021, Pages 88-105. DOI: https://doi.org/10.1016/j.ins.2021.09.017 Abstract: Influence maximization…
Read update ↗"A hybrid of neuro-fuzzy inference system and hidden Markov Model for activity-based mobility modeling of cellphone users" has been published By: Shiva Rahimipour, Mehdi Ghatee, S.M. Hashemi, Ahmad Nickabadi, in Computer Communications Volume 173, 1 May…
Read update ↗In this presentation, we have described this paper. In this paper, a new concept of regularization for deep neural networks has been proposed. You can find the code of this paper in this link. If you…
Read update ↗NORC is selected by Shiraz municipality to design the master plan for developing Intelligent Transportation Sytems (ITS) for Shiraz city.
Read update ↗"A Systematic Review on Overfitting Control in Shallow and Deep Neural Networks" By: Mohammad Mahdi Bejani, & Mehdi Ghatee has been published in "Artificial Intelligence Review" Abstract: Shallow neural networks process the features directly, while deep…
Read update ↗By Mohammad Mahdi Bejani & Mehdi Ghatee Published: Neurocomputing, 2021. Abstract: Model selection is a challenge, and a popular Convolutional Neural Networks (CNN) usually takes extra-need parameters. It causes overfitting in real applications. Besides, the extracted…
Read update ↗Decision Support and Expert Systems in Intelligent Transportation is written by Dr. Mehdi Ghatee, and has been published by Amirkabir University of Technology Press, (in Persian) 2021. Abstract: Intelligent transportation systems are essential parts of our…
Read update ↗By: Mehdi Ghatee Published: Metaheuristics and Optimization in Computer and Electrical Engineering, Springer, Switzerland, (2021). Abstract: Intelligent Transportation Systems (ITS) refer to a range of transportation applications based on communication and information technology. These systems by…
Read update ↗By: Mohammad Mahdi Bejani & Mehdi Ghatee Published: Neural Networks, Volume 128, August 2020, Pages 33-46. Abstract: Deep networks can learn complex problems, however, they suffer from overfitting. To solve this problem, regularization methods have been…
Read update ↗By: Shadi Abpeikar, Mehdi Ghatee, Gian Luca Foresti & Christian Micheloni Published: Neural Networks, Volume 124, April 2020, Pages 20-38. Abstract: Classification of high dimensional data suffers from curse of dimensionality and over-fitting. Neural tree is…
Read update ↗By: Mohammad Mahdi Bejani, Mehdi Ghatee Published: IEEE Transactions on Intelligent Transportation Systems, Volume: 21, Issue: 2, Feb. 2020. Abstract: Driving style evaluation by smartphones depends on the quality of the features extracted from sensors data. Typically,…
Read update ↗By: Shadi Abpeykar, & Mehdi Ghatee Published: Expert Systems with Applications, Volume 137, 15 December 2019, Pages 281-291 Abstract: Classification of the high-dimensional data by a new expert system is followed in the current paper. The…
Read update ↗By: Mehdi Ghatee Published in: Smartphones: Recent Innovations and Applications, Nova Science Pub Inc, United States, (August 15, 2019). Abstract: Smartphones play important roles in intelligent transportation systems and driving behavior evaluation contexts. By data mining…
Read update ↗Dr. Mehdi Ghatee as a keynote speaker in 4th International Conference on Natural Sciences (ICNS2019)-Mathematics & Computer presented a seminar entitled as “Smartphones: Effective Tools for Intelligent Transportation Systems in Smart Cities”, 18 And 19 April 2019, organized by University…
Read update ↗The usage of decomposition methods to reduce the size of problems is very important in the different applications. In the artificial intelligence applications, we face with the different problems that can be decomposed into some sub-problems.…
Read update ↗By: Shadi Abpeykar, Mehdi Ghatee, & Hadi Zare Published: Computational Statistics & Data Analysis Volume 131, March 2019, Pages 12-36. Abstract: Classification of the high-dimensional data is challenging due to the curse of dimensionality, heavy computational…
Read update ↗We started a mega-project on how we can improve the performance of Deep Learning, in the case of modifying its ability for features selection and for classification. Also we started to find a wide-range of applications…
Read update ↗By: Ali Pashaei, Mehdi Ghatee & Hedieh Sajedi Published: Journal of Real-Time Image Processing, 17(4), 1051-1066 - February 2019 https://doi.org/10.1007/s11554-019-00852-3 Abstract: This paper considers the accident images and develops a deep learning method for feature extraction…
Read update ↗By: Hamid Reza Eftekhari, & Mehdi Ghatee Published: Journal of Intelligent Transportation Systems Technology, Planning, and Operations Volume 23, 2019 - Issue 1 Abstract: Drivers’ behavior evaluation is one of the most important problems in intelligent…
Read update ↗One of the most important data sources in Intelligent Transportation Systems is images source. Fixed cameras or portable ones can capture these images but the latter is more effective. In [1], a drone was used for…
Read update ↗Signal Optimization is one of the most important problems in urban traffic management. Previously, we worked on this topic by using different nonlinear optimization and network flow algorithms. Some of the obtained results have been published…
Read update ↗By: Published: Transportation Research Part F: Traffic Psychology and Behaviour, Volume 58, October 2018, Pages 782-796. Abstract: Monitoring and evaluating of driving behavior is the main goal of this paper that encourage us to develop a…
Read update ↗In this project, we have proven that inheritance between neural networks based on tree structures (Neural Trees) is possible and adds accuracy and reduces the time required for classification. We share the knowledge of parents to…
Read update ↗By: Roya Bastani Zadeh; Mehdi Ghatee; Hamid Reza Eftekhari Published: IEEE Transactions on Intelligent Transportation Systems, 19 (2018) 2086 – 2098. Abstract: To protect vulnerable road users (VRU) like children and elderly, this paper presents a…
Read update ↗By: Mohammad Mahdi Bejani, Mehdi Ghatee Publisher: Transportation Research Part C: Emerging Technologies, Volume 89, April 2018, Pages 303-320. Abstarct: There are many systems to evaluate driving style based on smartphone sensors without enough awareness from…
Read update ↗By: Ashkan Fakhri, Mehdi Ghatee, Antonios Fragkogios, & Georgios K.D.Saharidis Published: Expert Systems with ApplicationsVolume 89, 15 December 2017, Pages 20-30 Abstract: The application of Benders decomposition method to a problem might result in a subproblem…
Read update ↗By: Malihe Niksirat, S. Mehdi Hashemi, & Mehdi Ghatee Published: Fuzzy Sets and Systems, Volume 296, 1 August 2016, Pages 70-96. Abstract: This paper deals with fuzzy integer linear programming problems with block angular structure in…
Read update ↗By: Hamid Reza Eftekhari, Mehdi Ghatee Published: Transportation Research Part C: Emerging Technologies, Volume 69, August 2016, Pages 313-327 Abstract: A smartphone can be utilized as a cost-effective device for the purposes of intelligent transportation system.…
Read update ↗By Ashkan Fakhri, Mehdi Ghatee Published: Applied Mathematical Modelling, Volume 40, Issues 13–14, July 2016, Pages 6468-6476. Abstract: In this paper, a new variable partitioning strategy in Benders decomposition method is applied that enables us to…
Read update ↗By: Ashkan Fakhri, & Mehdi Ghatee Published: Optimization: A Journal of Mathematical Programming and Operations Research, Volume 65, 2016 - Issue 5 Abstract: This paper tries to minimize the sum of a linear and a linear…
Read update ↗By: Reza Asadi & Mehdi Ghatee Published: IEEE Transactions on Intelligent Transportation Systems ( Volume: 16, Issue: 5, Oct. 2015) Abstarct: This paper develops a new rule-based decision support system (RB-DSS) to find the safest solutions…
Read update ↗By: Shadi Abpeykar, Mehdi Ghatee Published: Tunnelling and Underground Space Technology, Volume 42, May 2014, Pages 293-306 Abstract: This paper deals with a new decision support system (DSS) for intelligent tunnel. This DSS includes two subsystems.…
Read update ↗By: Ashkan Fakhri, Mehdi Ghatee Published: Applied Mathematical Modelling, Volume 38, Issues 7–8, 1 April 2014, Pages 2151-2162 Abstract: This paper deals with multi-commodity flow problem with fractional objective function. The optimality conditions and the duality…
Read update ↗By Ashkan Fakhri, & Mehdi Ghatee Published: Annals of Operations Research volume 210, pages295–307(2013). Abstract: This paper deals with preemptive priority based multi-objective network design problems in which construction times together with travel costs are taken…
Read update ↗By: Mehdi Ghatee, Malihe Niksirat Published: Information Sciences, Volume 229, 20 April 2013, Pages 77-93 Abstract: This paper deals with maximum cut problem on a graph with fuzzy edges. This problem is studied to cluster data…
Read update ↗By: Malihe Niksirat, Mehdi Ghatee, S. Mehdi Hashemi Published: Applied Mathematical Modelling, Volume 36, Issue 11, November 2012, Pages 5709-5726 Abstract: This paper treats with K-shortest viable path problem in a transportation network including multiple modes.…
Read update ↗By: Mehdi Ghatee Published: Computer Communications, Volume 34, Issue 7, 16 May 2011, Pages 835-846 Abstract: This paper treats with integral multi-commodity flow through a network. To enhance the Quality of Service (QoS) for channels, it…
Read update ↗By: Mehdi Ghatee, S. Mehdi Hashemi Published: Fuzzy Sets and Systems, Volume 160, Issue 22, 16 November 2009, Pages 3263-3289 Abstract: This paper deals with fuzzy quantities and relations in multi-objective minimum cost flow problem. When…
Read update ↗By: Mehdi Ghatee, S. Mehdi Hashemi, M. Zarepisheh, & E. Khorram Published: Computers & Industrial Engineering, Volume 57, Issue 1, August 2009, Pages 341-354 Abstract: This paper studies the minimal cost flow problem (MCFP) with fuzzy…
Read update ↗By: Mehdi Ghatee, S. Mehdi Hashemi Published: European Journal of Operational Research, Volume 194, Issue 2, 16 April 2009, Pages 432-451 Abstract: The place of fuzzy concepts in traffic assignment (TA) models has been studied in…
Read update ↗By: Mehdi Ghatee, S. Mehdi Hashemi Published: Mathematical and Computer Modelling, Volume 49, Issues 5–6, March 2009, Pages 1030-1043 Abstract: We treat with the Minimal Cost Multicommodity Flow Problem (MCMFP) in the setting of fuzzy sets,…
Read update ↗By: Mehdi Ghatee, S. Mehdi Hashemi Publisher: Applied Mathematics and Computation Volume 188, Issue 1, 1 May 2007, Pages 555-566. Abstract: Network managers wish to optimize control parameters such as signal setting which are very related…
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