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Iman Dehzangi

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20072025

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  • 2024

    Leveraging Large Language Models and Deep Learning for Detecting Illegal Insider Trading

    Adusumilli, A., Islam, S. R., Dehzangi, I. & Kim, J., 2024, Proceedings - 2024 IEEE International Conference on Big Data, BigData 2024. Ding, W., Lu, C.-T., Wang, F., Di, L., Wu, K., Huan, J., Nambiar, R., Li, J., Ilievski, F., Baeza-Yates, R. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 4809-4818 10 p. (Proceedings - 2024 IEEE International Conference on Big Data, BigData 2024).

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

  • Optimized Adaptive Based Method for MR Image Denoising

    Golilarz, N. A., Dehzangi, I. & Rahimi, K., 2024, Proceedings - 2024 IEEE 16th International Conference on Communication Systems and Network Technologies, CICN 2024. Tomar, G. S. (ed.). Institute of Electrical and Electronics Engineers Inc., p. 976-983 8 p. (Proceedings - 2024 IEEE 16th International Conference on Communication Systems and Network Technologies, CICN 2024).

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

  • 2023

    Predicting Phosphoglycerylation with Transformer Features and Deep Learning

    Chandra, A., Sharma, A., Dehzangi, I., Tsunoda, T. & Sattar, A., 2023, Proceedings of the 2023 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2023. Institute of Electrical and Electronics Engineers Inc., (Proceedings of the 2023 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2023).

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

    Open Access
    1 Scopus citations
  • 2019

    A Machine Learning Distracted Driving Prediction Model

    Ahangari, S., Jeihani, M. & Dehzangi, A., Aug 26 2019, Proceedings of the 3rd International Conference on Vision, Image and Signal Processing, ICVISP 2019. Association for Computing Machinery, (ACM International Conference Proceeding Series).

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

    4 Scopus citations

  • Computational Prediction of Lysine Pupylation Sites in Prokaryotic Proteins Using Position Specific Scoring Matrix into Bigram for Feature Extraction

    Singh, V., Sharma, A., Chandra, A., Dehzangi, A., Shigemizu, D. & Tsunoda, T., 2019, PRICAI 2019: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Proceedings. Nayak, A. C. & Sharma, A. (eds.). Springer Verlag, p. 488-500 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11672 LNAI).

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

    3 Scopus citations

  • Toxicity Prediction by Multimodal Deep Learning

    Karim, A., Singh, J., Mishra, A., Dehzangi, A., Newton, M. A. H. & Sattar, A., 2019, Knowledge Management and Acquisition for Intelligent Systems - 16th Pacific Rim Knowledge Acquisition Workshop, PKAW 2019, Proceedings. Ohara, K. & Bai, Q. (eds.). Springer Verlag, p. 142-152 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11669 LNAI).

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

    15 Scopus citations
  • 2016

    Importance of dimensionality reduction in protein fold recognition

    Sharma, A., Sharma, R., Dehzangi, A., Lyons, J., Paliwal, K. & Tsunoda, T., May 20 2016, 2015 2nd Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2015. Institute of Electrical and Electronics Engineers Inc., 7476132. (2015 2nd Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2015).

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

    1 Scopus citations
  • 2014

    Genetic algorithm for an optimized weighted voting scheme incorporating k-separated bigram transition probabilities to improve protein fold recognition

    Saini, H., Raicar, G., Lal, S., Dehzangi, A., Lyons, J., Paliwal, K. K., Imoto, S., Miyano, S. & Sharma, A., 2014, Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2014. Institute of Electrical and Electronics Engineers Inc., 7053846. (Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2014).

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

    4 Scopus citations
  • 2013

    Enhancing protein fold prediction accuracy using evolutionary and structural features

    Dehzangi, A., Paliwal, K., Lyons, J., Sharma, A. & Sattar, A., 2013, Pattern Recognition in Bioinformatics - 8th IAPR International Conference, PRIB 2013, Proceedings. Springer Verlag, p. 196-207 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7986 LNBI).

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

    Open Access
    27 Scopus citations

  • Ensemble of diversely trained support vector machines for protein fold recognition

    Dehzangi, A. & Sattar, A., 2013, Intelligent Information and Database Systems - 5th Asian Conference, ACIIDS 2013, Proceedings. PART 1 ed. p. 335-344 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7802 LNAI, no. PART 1).

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

    6 Scopus citations

  • Exploring potential discriminatory information embedded in PSSM to enhance protein structural class prediction accuracy

    Dehzangi, A., Paliwal, K., Lyons, J., Sharma, A. & Sattar, A., 2013, Pattern Recognition in Bioinformatics - 8th IAPR International Conference, PRIB 2013, Proceedings. Springer Verlag, p. 208-219 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7986 LNBI).

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

    Open Access
    26 Scopus citations

  • Protein fold recognition using an overlapping segmentation approach and a mixture of feature extraction models

    Dehzangi, A., Paliwal, K., Sharma, A., Lyons, J. & Sattar, A., 2013, AI 2013: Advances in Artificial Intelligence - 26th Australasian Joint Conference, Proceedings. p. 32-43 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8272 LNAI).

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

    Open Access
    10 Scopus citations

  • Protein fold recognition using segmentation-based feature extraction model

    Dehzangi, A. & Sattar, A., 2013, Intelligent Information and Database Systems - 5th Asian Conference, ACIIDS 2013, Proceedings. PART 1 ed. p. 345-354 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7802 LNAI, no. PART 1).

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

    Open Access
    8 Scopus citations
  • 2011

    The application of fusion of heterogeneous meta classifiers to enhance protein fold prediction accuracy

    Dehzangi, A., Foladizadeh, R. H., Aflaki, M. & Karamizadeh, S., 2011, Intelligent Information and Database Systems - Third International Conference, ACIIDS 2011, Proceedings. PART 1 ed. Springer Verlag, p. 538-547 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6591 LNAI, no. PART 1).

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

    1 Scopus citations
  • 2010

    Introducing novel physicochemical based features to enhance protein fold prediction accuracy

    Dehzangi, A. & Khosravi, B. G., 2010, 2010 International Conference on Computer Design and Applications, ICCDA 2010. p. V1592-V1596 5540884. (2010 International Conference on Computer Design and Applications, ICCDA 2010; vol. 1).

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

    5 Scopus citations

  • Using rotation forest for protein fold prediction problem: An empirical study

    Dehzangi, A., Phon-Amnuaisuk, S., Manafi, M. & Safa, S., 2010, Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - 8th European Conference, EvoBIO 2010, Proceedings. Springer Verlag, p. 217-227 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6023 LNCS).

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

    30 Scopus citations
  • 2009

    Protein fold prediction problem using ensemble of classifiers

    Dehzangi, A., Phon Amnuaisuk, S., Ng, K. H. & Mohandesi, E., 2009, Neural Information Processing - 16th International Conference, ICONIP 2009, Proceedings. PART 2 ed. p. 503-511 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5864 LNCS, no. PART 2).

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

    20 Scopus citations
  • 2007

    An efficient nearest neighbor classifier using an adaptive distance measure

    Dehzangi, O., Zolghadri, M. J., Taheri, S. & Dehzangi, A., 2007, Computer Analysis of Images and Patterns - 12th International Conference, CAIP 2007, Proceedings. Springer Verlag, p. 970-978 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4673 LNCS).

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