I. Gholampour

发表

A hybrid deep and machine learning model for short‐term traffic volume forecasting of adjacent intersections

Hamid Mirzahossein, Amir Hossein Zamani, I. Gholampour, 2022, IET Intelligent Transport Systems.

T-Rank: Graph Data Analytics for Urban Traffic Modeling

S. M. Karbasi, I. Gholampour, Alireza Safarpour, 2021, 2021 11th International Conference on Computer Engineering and Knowledge (ICCKE).

A robust multilevel segment description for multi-class object recognition

Mohammadreza Mostajabi, Iman Gholampour, Mohammadreza Mostajabi, 2014, Machine Vision and Applications.

Traffic pattern detection using topic modeling for speed cameras based on big data abstraction

Yi-Chang Chiu, Iman Gholampour, Hamid Mirzahossein, 2020, Transportation Letters.

How realistic is static traffic assignment? Analyzing automatic number-plate recognition data and image processing of real-time traffic maps for investigation

Maryam Sedghi, Iman Gholampour, Hamid Mirzahossein, 2021 .

Abnormal event detection and localisation in traffic videos based on group sparse topical coding

Iman Gholampour, Parvin Ahmadi, Mahmoud Tabandeh, 2016, IET Image Process..

Accurate Detection and Recognition of Dirty Vehicle Plate Numbers for High-Speed Applications

Rahim Panahi, Iman Gholampour, I. Gholampour, 2017, IEEE Transactions on Intelligent Transportation Systems.

Cluster-based sparse topical coding for topic mining and document clustering

Iman Gholampour, Parvin Ahmadi, Mahmoud Tabandeh, 2018, Adv. Data Anal. Classif..

Cluster-based sparse topical coding for topic mining and document clustering

M. Tabandeh, I. Gholampour, P. Ahmadi, 2017, Advances in Data Analysis and Classification.

Clustering improvement via integrating with sparse topical coding

Iman Gholampour, Parvin Ahmadi, Razie Kaviani, 2015, 2015 23rd Iranian Conference on Electrical Engineering.

A robust multilevel segment description for multi-class object recognition

Mohammadreza Mostajabi, I. Gholampour, 2014, Machine Vision and Applications.

Steganographic schemes with multiple q-ary changes per block of pixels

Khashayar Khosravi, Iman Gholampour, Khashayar Khosravi, 2015, Signal Process..

Interpolation of steganographic schemes

Khashayar Khosravi, Iman Gholampour, Khashayar Khosravi, 2014, Signal Process..

High performance telephony speech recognition via cascade HMM/ANN hybrid

Iman Gholampour, Kambiz Nayebi, I. Gholampour, 1999, ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359).

The cascade HMM/ANN hybrid: A new framework for discriminative training in speech recognition

Iman Gholampour, Kambiz Nayebi, I. Gholampour, 1999, NSIP.

Steganalysis of Internet data, a feasibility study

Shahrokh Ghaemmaghami, Iman Gholampour, Hanieh Khalilian, 2011, 2011 International Symposium on Computer Networks and Distributed Systems (CNDS).

Persian text classification based on topic models

Iman Gholampour, Parvin Ahmadi, Mahmoud Tabandeh, 2016, 2016 24th Iranian Conference on Electrical Engineering (ICEE).