A hybrid heuristic queue based algorithm for task assignment in mobile cloud. - Shima Rashidi; Saeed Sharifian (Future Gener. Comput. Syst., 2017)

Cloudlet dynamic server selection policy for mobile task off-loading in mobile cloud computing using soft computing techniques. - Shima Rashidi; Saeed Sharifian (J. Supercomput., 2017)

Optimal visual search based on a model of target detectability in natural images. - Shima Rashidi; Krista A. Ehinger; Andrew Turpin; Lars Kulik (NeurIPS, 2020)

Deep Learning-Based Intrusion Detection Systems: A Systematic Review. - Jan Lansky; Saqib Ali; Mokhtar Mohammadi; Mohammed Kamal Majeed; Sarkhel H. Taher Karim; Shima Rashidi; Mehdi Hosseinzadeh 001; Amir Masoud Rahmani (IEEE Access, 2021)

Questioning the Security of Three Recent Authentication and Key Agreement Protocols. - Amir Masoud Rahmani; Mokhtar Mohammadi; Shima Rashidi; Jan Lansky; Stanislava Mildeová; Masoumeh Safkhani; Saru Kumari; Mehdi Hosseinzadeh 001 (IEEE Access, 2021)

Towards secure intrusion detection systems using deep learning techniques: Comprehensive analysis and review. - Sang-Woong Lee 001; Haval Mohammed sidqi; Mokhtar Mohammadi; Shima Rashidi; Amir Masoud Rahmani; Mohammad Masdari; Mehdi Hosseinzadeh 001 (J. Netw. Comput. Appl., 2021)

Computational models of visual search and attention in natural images: from neural circuits to search strategies. - Shima Rashidi (2021)

Multimodal brain tumor detection using multimodal deep transfer learning. - Parvin Razzaghi; Karim Abbasi; Mahmoud Shirazi; Shima Rashidi (Appl. Soft Comput., 2022)

Deep cepstrum-wavelet autoencoder: A novel intelligent sonar classifier. - Hailong Jia; Mohammad Khishe; Mokhtar Mohammadi; Shima Rashidi (Expert Syst. Appl., 2022)

Forecasting tunnel boring machine penetration rate using LSTM deep neural network optimized by grey wolf optimization algorithm. - Arsalan Mahmoodzadeh; Hamid Reza Nejati; Mokhtar Mohammadi; Hawkar Hashim Ibrahim; Shima Rashidi; Tarik Ahmed Rashid (Expert Syst. Appl., 2022)

Evolving Deep Convolutional Neural Networks by Extreme Learning Machine and Fuzzy Slime Mould Optimizer for Real-Time Sonar Image Recognition. - Guo Yutong; Mohammad Khishe; Mokhtar Mohammadi; Shima Rashidi; Mojtaba Shams Nateri (Int. J. Fuzzy Syst., 2022)

Transformers in Small Object Detection: A Benchmark and Survey of State-of-the-Art. - Aref Miri Rekavandi; Shima Rashidi; Farid Boussaïd; Stephen Hoefs; Emre Akbas; Mohammed Bennamoun (CoRR, 2023)

Improved deep convolutional neural networks using chimp optimization algorithm for Covid19 diagnosis from the X-ray images. - Chengfeng Cai; Bingchen Gou; Mohammad Khishe; Mokhtar Mohammadi; Shima Rashidi; Reza Moradpour; Seyedali Mirjalili (Expert Syst. Appl., 2023)

Denoising of multidimensional seismic data in the physical domain by a new non-local self similarity method. - Rasoul Anvari; Mokhtar Mohammadi; Javad Mafakheri; Amin Roshandel Kahoo; Mehrdad Soleimani Monfared; Shima Rashidi; Adil Hussien Mohammed (Earth Sci. Informatics, 2023)

An active foveated gaze prediction algorithm based on a Bayesian ideal observer. - Shima Rashidi; Weilun Xu; Dian Lin; Andrew Turpin; Lars Kulik; Krista A. Ehinger (Pattern Recognit., 2023)

Corrections to "Deep Learning-Based Intrusion Detection Systems: A Systematic Review". - Jan Lansky; Saqib Ali; Mokhtar Mohammadi; Mohammed Kamal Majeed; Sarkhel H. Taher Karim; Shima Rashidi; Mehdi Hosseinzadeh 001; Amir Masoud Rahmani (IEEE Access, 2024)

SSSA: low data sentiment analysis using boosting semi-supervised approach and deep feature learning network. - Shima Rashidi; Jafar Tanha; Arash Sharifi; Mehdi Hosseinzadeh 001 (Appl. Intell., 2025)

IT-RUDA: Information Theory-Assisted Robust Unsupervised Domain Adaptation. - Shima Rashidi; Ruwan B. Tennakoon; Aref Miri Rekavandi; Papangkorn Jessadatavornwong; Amanda Freis; Garret Huff; Mark Easton; Adrian Mouritz; Reza Hoseinnezhad; Alireza Bab-Hadiashar (ACM Trans. Intell. Syst. Technol., 2025)