Centre for Applied Artificial Intelligence

Research output

Research output per year 2021 2022 2023 2024

• 15 Article
• 5 Review article
• 3 Conference proceeding contribution
• 2 Preprint
• 1 More
  • 1 Short survey

Research output per year

Research output per year

Search results

• 2024

  Complex query answering over knowledge graphs foundation model using region embeddings on a lie group

  Zhou, Z., Wan, G., Pan, S., Wu, J., Hu, W. & Du, B., May 2024, In: World Wide Web. 27, 3, 22 p., 23.

  Research output: Contribution to journal › Article › peer-review

  • Lie groups 100%
  • Query processing 25%
  • Mathematical operators 20%
  • Experiments 16%
  • Sampling 15%
  1 Citation (Scopus)

• Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: a comprehensive review from 2002–2023

  Jafari, M., Sadeghi, D., Shoeibi, A., Alinejad-Rokny, H., Beheshti, A., García, D. L., Chen, Z., Acharya, U. R. & Gorriz, J. M., Jan 2024, In: Applied Intelligence. 54, 1, p. 35-79 45 p.

  Research output: Contribution to journal › Article › peer-review

  • Personalized medicine 100%
  • Electroencephalography 66%
  • Artificial intelligence 60%
  • Functional neuroimaging 24%
  • Brain 22%
  5 Citations (Scopus)

• Navigating the power of artificial intelligence in risk management: a comparative analysis

  Yazdi, M., Zarei, E., Adumene, S. & Beheshti, A., Jun 2024, In: Safety. 10, 2, p. 1-48 48 p., 42.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Artificial Intelligence 100%
  • Risk Management 82%
  • Risk management 80%
  • risk management 77%
  • artificial intelligence 75%
  2 Citations (Scopus)

  68 Downloads (Pure)
• 2023

  Accurately predicting anticancer peptide using an ensemble of heterogeneously trained classifiers

  Azim, S. M., Sabab, N. H. N., Noshadi, I., Alinejad-Rokny, H., Sharma, A., Shatabda, S. & Dehzangi, I., 2023, In: Informatics in Medicine Unlocked. 42, p. 1-8 8 p., 101348.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Peptides 100%
  • Machine Learning 35%
  • Computer Simulation 29%
  • Pharmaceutical Preparations 25%
  • Therapeutic Uses 25%
  1 Citation (Scopus)

  48 Downloads (Pure)

• A comprehensive investigation of genomic variants in prostate cancer reveals 30 putative regulatory variants

  Labani, M., Beheshti, A., Argha, A. & Alinejad-Rokny, H., 1 Feb 2023, In: International Journal of Molecular Sciences. 24, 3, p. 1-18 18 p., 2472.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Enhancer 100%
  • Pipeline 97%
  • Genes 80%
  • cancer 78%
  • Prostatic Neoplasms 66%
  2 Citations (Scopus)

  63 Downloads (Pure)

• A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis

  Shamsi, A., Asgharnezhad, H., Bouchani, Z., Jahanian, K., Saberi, M., Wang, X., Razzak, I., Alizadehsani, R., Mohammadi, A. & Alinejad-Rokny, H., Oct 2023, In: Neural Computing and Applications. 35, 30, p. 22179-22188 10 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Deep learning 100%
  • Skin 97%
  • Deep neural networks 72%
  • Uncertainty 70%
  • Entropy 31%
  2 Citations (Scopus)

  27 Downloads (Pure)

• Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: a review

  Jafari, M., Shoeibi, A., Khodatars, M., Ghassemi, N., Moridian, P., Alizadehsani, R., Khosravi, A., Ling, S. H., Delfan, N., Zhang, Y-D., Wang, S-H., Gorriz, J. M., Alinejad-Rokny, H. & Acharya, U. R., Jun 2023, In: Computers in Biology and Medicine. 160, p. 1-31 31 p., 106998.

  Research output: Contribution to journal › Review article › peer-review

  • Deep Learning 100%
  • Magnetic resonance 75%
  • Deep learning 64%
  • Imaging techniques 55%
  • Cardiovascular Diseases 52%
  27 Citations (Scopus)

• Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: a review

  Shoeibi, A., Khodatars, M., Jafari, M., Ghassemi, N., Moridian, P., Alizadehsani, R., Ling, S. H., Khosravi, A., Alinejad-Rokny, H., Lam, H. K., Fuller-Tyszkiewicz, M., Acharya, U. R., Anderson, D., Zhang, Y. & Gorriz, J. M., May 2023, In: Information Fusion. 93, p. 85-117 33 p.

  Research output: Contribution to journal › Short survey › peer-review

  • Neuroimaging 100%
  • Deep learning 67%
  • Brain 62%
  • Fusion reactions 60%
  • Magnetic resonance 15%
  34 Citations (Scopus)

• Swarm intelligence in internet of medical things: a review

  Alizadehsani, R., Roshanzamir, M., Izadi, N. H., Gravina, R., Kabir, H. M. D., Nahavandi, D., Alinejad-Rokny, H., Khosravi, A., Acharya, U. R., Nahavandi, S. & Fortino, G., 1 Feb 2023, In: Sensors. 23, 3, p. 1-25 25 p., 1466.

  Research output: Contribution to journal › Review article › peer-review

  Open Access

  File

  • Internet of Things 100%
  • intelligence 80%
  • Swarm intelligence 66%
  • Intelligence 59%
  • Internet 38%
  20 Citations (Scopus)

  31 Downloads (Pure)
• 2022

  A survey on machine learning and internet of medical things-based approaches for handling COVID-19: meta-analysis

  Band, S. S., Ardabili, S., Yarahmadi, A., Pahlevanzadeh, B., Kiani, A. K., Beheshti, A., Alinejad-Rokny, H., Dehzangi, I., Chang, A., Mosavi, A. & Moslehpour, M., Jun 2022, In: Frontiers in Public Health. 10, p. 1-22 22 p., 869238.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Internet of Things 100%
  • Machine Learning 63%
  • neural network 49%
  • Meta-Analysis 41%
  • Internet 34%
  7 Citations (Scopus)

  35 Downloads (Pure)

• A survey on machine learning and internet of medical things-based approaches for handling COVID-19: meta-analysis

  Band, S. S., Ardabili, S., Yarahmadi, A., Pahlevanzadeh, B., Kiani, A. K., Beheshti, A., Rokny, H. A., Dehzangi, I., Chang, A., Mosavi, A. & Moslehpour, M., 19 Apr 2022, (Submitted) (Preprints).

  Research output: Working paper › Preprint

  • Internet of things 100%
  • Machine learning 87%
  • Internet 81%
  • Vaccines 40%
  • Viruses 35%

• Automatic facial expression recognition in an image sequence using conditional random field

  Roshanzamir, M., Roshanzamir, M., Mirzaei, A., Darbandy, M. T., Shoeibi, A., Alizadehsani, R., Khozeimeh, F. & Khosravi, A., 2022, IEEE Joint 22nd International Symposium on Computational Intelligence and Informatics and 8th International Conference on Recent Achievements in Mechatronics, Automation, Computer Science and Robotics: proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 271-278 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  • Facial Expression Recognition 100%
  • Conditional Random Fields 88%
  • Image Sequence 75%
  • Facial Expression 74%
  • Optical flows 27%
  2 Citations (Scopus)

• CNN-KCL: automatic myocarditis diagnosis using convolutional neural network combined with k-means clustering

  Sharifrazi, D., Alizadehsani, R., Joloudari, J. H., Band, S. S., Hussain, S., Sani, Z. A., Hasanzadeh, F., Shoeibi, A., Dehzangi, A., Sookhak, M. & Alinejad-Rokny, H., 2022, In: Mathematical Biosciences and Engineering. 19, 3, p. 2381-2402 22 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Myocarditis 100%
  • K-means Clustering 70%
  • myocarditis 70%
  • neural networks 50%
  • Clustering 44%
  23 Citations (Scopus)

  68 Downloads (Pure)

• Hybrid feature fusion and machine learning approaches for melanoma skin cancer detection

  Rahman, M. M., Nasir, M. K., A-Alam, N., Khan, S. I., Band, S. S., Dehzangi, A., Beheshti, A. & Alinejad Rokny, H., 18 Jan 2022, (Submitted) (Preprints).

  Research output: Working paper › Preprint

  • Skin 100%
  • Fusion reactions 92%
  • Machine learning 84%
  • Automatic identification 22%
  • Speckle 22%

• Hybrid HCNN-KNN model enhances age estimation accuracy in Orthopantomography

  Sharifonnasabi, F., Jhanjhi, N. Z., John, J., Obeidy, P., Band, S. S., Alinejad-Rokny, H. & Baz, M., 30 May 2022, In: Frontiers in Public Health. 10, p. 1-14 14 p., 879418.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Panoramic Radiography 100%
  • Drug Trafficking 28%
  • Tooth 24%
  • Dental Clinics 22%
  • Homicide 21%
  8 Citations (Scopus)

  65 Downloads (Pure)

• Importance of wearable health monitoring systems using IoMT; requirements, advantages, disadvantages and challenges

  Khozeimeh, F., Roshanzamir, M., Shoeibi, A., Darbandy, M. T., Alizadehsani, R., Alinejad-Rokny, H., Ahmadian, D., Khosravi, A. & Nahavandi, S., 2022, IEEE Joint 22nd International Symposium on Computational Intelligence and Informatics and 8th International Conference on Recent Achievements in Mechatronics, Automation, Computer Science and Robotics: proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 245-250 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  • Health Monitoring 100%
  • Monitoring System 86%
  • Wearable technology 58%
  • Thing 52%
  • Healthcare 47%
  3 Citations (Scopus)

• MaxHiC: a robust background correction model to identify biologically relevant chromatin interactions in Hi-C and capture Hi-C experiments

  Alinejad-Rokny, H., Modegh, R. G., Rabiee, H. R., Sarbandi, E. R., Rezaie, N., Tam, K. T. & Forrest, A. R. R., 24 Jun 2022, In: PLoS Computational Biology. 18, 6, p. 1-26 26 p., e1010241.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Chromatin 100%
  • Genomics 60%
  • chromatin 52%
  • Background 50%
  • Experiment 43%
  5 Citations (Scopus)

  58 Downloads (Pure)

• Pan-cancer integrative analysis of whole-genome De novo somatic point mutations reveals 17 cancer types

  Ghareyazi, A., Kazemi, A., Hamidieh, K., Dashti, H., Tahaei, M. S., Rabiee, H. R., Alinejad-Rokny, H. & Dehzangi, I., Dec 2022, In: BMC Bioinformatics. 23, 1, p. 1-21 21 p., 298.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Pipeline 100%
  • Genome 94%
  • Genomics 89%
  • Cancer 88%
  • Mutation 85%
  2 Citations (Scopus)

  37 Downloads (Pure)

• PeakCNV: a multi-feature ranking algorithm-based tool for genome-wide copy number variation-association study

  Labani, M., Afrasiabi, A., Beheshti, A., Lovell, N. H. & Alinejad-Rokny, H., 2022, In: Computational and Structural Biotechnology Journal. 20, p. 4975-4983 9 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Neurodevelopmental Disorders 100%
  • Genomics 88%
  • Disorder 72%
  • Genome 57%
  • Prostatic Neoplasms 45%
  3 Citations (Scopus)

  48 Downloads (Pure)

• Somatic point mutations are enriched in non-coding RNAs with possible regulatory function in breast cancer

  Rezaie, N., Bayati, M., Hamidi, M., Tahaei, M. S., Khorasani, S., Lovell, N. H., Breen, J., Rabiee, H. R. & Alinejad-Rokny, H., Dec 2022, In: Communications Biology. 5, 1, p. 1-13 13 p., 556.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • somatic mutation 100%
  • non-coding RNA 86%
  • breast neoplasms 85%
  • Untranslated RNA 84%
  • point mutation 82%
  6 Citations (Scopus)

  37 Downloads (Pure)

• The low abundance of CpG in the SARS-CoV-2 genome is not an evolutionarily signature of ZAP

  Afrasiabi, A., Alinejad-Rokny, H., Khosh, A., Rahnama, M., Lovell, N., Xu, Z. & Ebrahimi, D., Dec 2022, In: Scientific Reports. 12, 1, p. 1-8 8 p., 2420.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • SARS Virus 100%
  • Zinc Fingers 76%
  • Antiviral Agents 58%
  • Genome 46%
  • Viral RNA 37%
  3 Citations (Scopus)

  28 Downloads (Pure)
• 2021

  A multi-level consensus function clustering ensemble

  Pho, K-H., Akbarzadeh, H., Parvin, H., Nejatian, S. & Alinejad-Rokny, H., Nov 2021, In: Soft Computing. 25, 21, p. 13147-13165 19 p.

  Research output: Contribution to journal › Article › peer-review

  • Ensemble 100%
  • Clustering 95%
  • Clustering algorithms 91%
  • Similarity 85%
  • Partition 46%
  7 Citations (Scopus)

• A novel hybrid DMHS-GMDH algorithm to predict COVID-19 pandemic time series

  Taheri, A., Ghashghaei, S., Beheshti, A. & RahimiZadeh, K., 2021, ICCKE 2021: 11th International Conference on Computer Engineering and Knowledge. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 322-327 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  • Data Handling 100%
  • Data handling 82%
  • Time series 59%
  • Data storage equipment 42%
  • Harmony 38%
  2 Citations (Scopus)

• A review on deep learning approaches in healthcare systems: taxonomies, challenges, and open issues

  Shamshirband, S., Fathi, M., Dehzangi, A., Chronopoulos, A. T. & Alinejad-Rokny, H., Jan 2021, In: Journal of Biomedical Informatics. 113, p. 1-17 17 p., 103627.

  Research output: Contribution to journal › Review article › peer-review

  Open Access

  • Deep Learning 100%
  • Taxonomies 76%
  • Deep learning 64%
  • Delivery of Health Care 44%
  • Machine Learning 27%
  177 Citations (Scopus)

• A systematic review of long non-coding RNAs with a potential role in breast cancer

  Heidari, R., Akbariqomi, M., Asgari, Y., Ebrahimi, D. & Alinejad-Rokny, H., Jun 2021, In: Mutation Research - Reviews in Mutation Research. 787, p. 1-12 12 p., 108375.

  Research output: Contribution to journal › Review article › peer-review

  • Long Noncoding RNA 100%
  • Systematic Reviews 68%
  • Breast Neoplasms 58%
  • Untranslated RNA 34%
  • Initiator Codon 18%
  17 Citations (Scopus)

• Quantitative neurogenetics: applications in understanding disease

  Afrasiabi, A., Keane, J. T., Ik-Tsen Heng, J., Palmer, E. E., Lovell, N. H. & Alinejad-Rokny, H., Aug 2021, In: Biochemical Society Transactions. 49, 4, p. 1621-1631 11 p.

  Research output: Contribution to journal › Review article › peer-review

  • Neurodegenerative Diseases 100%
  • Disorder 98%
  • Artificial Intelligence 38%
  • Organ Specificity 36%
  • Application 36%
  8 Citations (Scopus)