Ali Ghodsi
Research interests
Machine learning, Deep learning, Computational statistics, Dimensionality reduction, Natural language processing, Bioinformatics.
Professor Ghodsi's current research sweeps across a broad swath of AI encompassing machine learning, deep learning, and dimensionality reduction. He studies theoretical frameworks and develops new machine-learning algorithms for analyzing large-scale data sets, with applications in natural language processing, bioinformatics, and computer vision. Dr. Ghodsi's work has been published extensively in high-quality proceedings and journals. He is the co-author of the "Elements of Dimensionality Reduction and Manifold Learning" (Springer) and several US patents. His popular lectures on YouTube have more than one million views. View a complete list of his online lectures.
Selected publications
R Qiao, NH Tran, L Xin, X Chen, M Li, B Shan, A Ghodsi
Nature Machine Intelligence 3 (5), 420-425 (2021)
Deep learning enables de novo peptide sequencing from data-independent-acquisition mass spectrometry
NH Tran, R Qiao, L Xin, X Chen, C Liu, X Zhang, B Shan, A Ghodsi, M Li
Nature methods 16 (1), 63-66 (2019)
Sentiment analysis based on improved pre-trained word embeddings
SM Rezaeinia, R Rahmani, A Ghodsi, H Veisi
Expert Systems with Applications 117, 139-147 (2019)
E Barshan, A Ghodsi, Z Azimifar, MZ Jahromi
Pattern Recognition 44 (7), 1357-1371 (2011)
An efficient greedy method for unsupervised feature selection
AK Farahat, A Ghodsi, MS Kamel
2011 IEEE 11th International Conference on Data Mining, 161-170 (2011)
Nonnegative matrix factorization via rank-one downdate
M Biggs, A Ghodsi, S Vavasis
Proceedings of the 25th international conference on Machine learning, 64-71(2008)