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2020 – today
- 2024
[j12]Milad Besharatifard, Fatemeh Vafaee:
A review on graph neural networks for predicting synergistic drug combinations. Artif. Intell. Rev. 57(3): 49 (2024)- [j11]Abdul Qayyum
, Abdesslam Benzinou, Imran Razzak, Moona Mazher, Thanh Thi Nguyen, Domenec Puig, Fatemeh Vafaee:
3D-IncNet: Head and Neck (H&N) Primary Tumors Segmentation and Survival Prediction. IEEE J. Biomed. Health Informatics 28(3): 1185-1194 (2024) - [i2]Annette Spooner, Mohammad Karimi Moridani, Azadeh Safarchi, Salim Maher, Fatemeh Vafaee, Amany Zekry, Arcot Sowmya:
Multi-omics data integration for early diagnosis of hepatocellular carcinoma (HCC) using machine learning. CoRR abs/2409.13791 (2024) - 2023
- [j10]Seid Miad Zandavi, Derong Liu, Vera Yuk Ying Chung, Ali Anaissi, Fatemeh Vafaee:
Fotomics: fourier transform-based omics imagification for deep learning-based cell-identity mapping using single-cell omics profiles. Artif. Intell. Rev. 56(7): 7263-7278 (2023) - 2022
- [j9]Abhishek Vijayan, Shadma Fatima, Arcot Sowmya, Fatemeh Vafaee:
Blood-based transcriptomic signature panel identification for cancer diagnosis: benchmarking of feature extraction methods. Briefings Bioinform. 23(5) (2022) - [j8]Seid Miad Zandavi, Taha Hossein Rashidi, Fatemeh Vafaee:
Dynamic Hybrid Model to Forecast the Spread of COVID-19 Using LSTM and Behavioral Models Under Uncertainty. IEEE Trans. Cybern. 52(11): 11977-11989 (2022) - 2021
- [j7]A. K. M. Azad, Mojdeh Dinarvand, Alireza Nematollahi, Joshua Swift, Louise Lutze-Mann, Fatemeh Vafaee:
A comprehensive integrated drug similarity resource for in-silico drug repositioning and beyond. Briefings Bioinform. 22(3) (2021) - [j6]Forrest C. Koch, Gavin J. Sutton, Irina Voineagu, Fatemeh Vafaee:
Supervised application of internal validation measures to benchmark dimensionality reduction methods in scRNA-seq data. Briefings Bioinform. 22(6) (2021) - [j5]A. K. M. Azad, Shadma Fatima, Alexander Capraro, Shafagh A. Waters, Fatemeh Vafaee:
Integrative resource for network-based investigation of COVID-19 combinatorial drug repositioning and mechanism of action. Patterns 2(9): 100325 (2021) - 2020
- [j4]Kieran Walsh, Mircea A. Voineagu, Fatemeh Vafaee, Irina Voineagu:
TDAview: an online visualization tool for topological data analysis. Bioinform. 36(18): 4805-4809 (2020) - [i1]Seid Miad Zandavi, Taha Hossein Rashidi, Fatemeh Vafaee:
Forecasting the Spread of Covid-19 Under Control Scenarios Using LSTM and Dynamic Behavioral Models. CoRR abs/2005.12270 (2020)
2010 – 2019
- 2019
- [j3]Carlo Contaldi, Fatemeh Vafaee, Peter C. Nelson:
Bayesian network hybrid learning using an elite-guided genetic algorithm. Artif. Intell. Rev. 52(1): 245-272 (2019) - [r1]Fatemeh Vafaee, Hamed Dashti, Hamid Alinejad-Rokny:
Transcriptomic Data Normalization. Encyclopedia of Bioinformatics and Computational Biology (2) 2019: 364-371 - 2017
- [c10]Carlo Contaldi, Fatemeh Vafaee, Peter C. Nelson:
The role of crossover operator in bayesian network structure learning performance: a comprehensive comparative study and new insights. GECCO 2017: 769-776 - 2016
- [j2]Katie Wilkins, Mehedi Hassan, Margherita Francescatto, Jakob B. Jespersen, R. Gonzalo Parra, Bart Cuypers, Dan F. DeBlasio, Alexander Junge, Anupama Jigisha, Farzana Rahman, Griet Laenen, Sander Willems, Lieven Thorrez, Yves Moreau, Nagarajan Raju, Sonia P. Chothani, C. Ramakrishnan, Masakazu Sekijima, M. Michael Gromiha, Paddy J. Slator, Nigel J. Burroughs, Przemyslaw Szalaj, Zhonghui Tang, Paul J. Michalski, Oskar Luo, Xingwang Li, Yijun Ruan, Dariusz Plewczynski, Giulia Fiscon, Emanuel Weitschek, Massimo Ciccozzi, Paola Bertolazzi, Giovanni Felici, Pieter Meysman, Manu Vanaerschot, Maya Berg, Hideo Imamura, Jean-Claude Dujardin, Kris Laukens, Westa Domanova, James R. Krycer, Rima Chaudhuri, Pengyi Yang, Fatemeh Vafaee, Daniel J. Fazakerley, Sean J. Humphrey, David E. James, Zdenka Kuncic:
Highlights from the 11th ISCB Student Council Symposium 2015: Dublin, Ireland. 10 July 2015. BMC Bioinform. 17(S-3) (2016) - 2014
- [c9]Fatemeh Vafaee, György Turán, Peter C. Nelson, Tanya Y. Berger-Wolf:
Balancing the exploration and exploitation in an adaptive diversity guided genetic algorithm. IEEE Congress on Evolutionary Computation 2014: 2570-2577 - [c8]Fatemeh Vafaee:
Learning the structure of large-scale bayesian networks using genetic algorithm. GECCO 2014: 855-862 - [c7]Fatemeh Vafaee, György Turán, Peter C. Nelson, Tanya Y. Berger-Wolf:
Among-site rate variation: adaptation of genetic algorithm mutation rates at each single site. GECCO 2014: 863-870 - 2013
- [j1]Fatemeh Vafaee, Daniela Rosu, Fiona Broackes-Carter, Igor Jurisica:
Novel semantic similarity measure improves an integrative approach to predicting gene functional associations. BMC Syst. Biol. 7: 22 (2013) - 2010
- [c6]Fatemeh Vafaee, Peter C. Nelson:
An explorative and exploitative mutation scheme. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c5]Fatemeh Vafaee, György Turán, Peter C. Nelson:
Optimizing genetic operator rates using a markov chain model of genetic algorithms. GECCO 2010: 721-728
2000 – 2009
- 2009
- [c4]Bo Xu, Fatemeh Vafaee, Ouri Wolfson:
In-network query processing in mobile P2P databases. GIS 2009: 207-216 - [c3]Fatemeh Vafaee, Peter C. Nelson:
A Genetic Algorithm that Incorporates an Adaptive Mutation Based on an Evolutionary Model. ICMLA 2009: 101-107 - [c2]Fatemeh Vafaee, Peter C. Nelson:
Self-Adaptation of Genetic Operator Probabilities Using Differential Evolution. SASO 2009: 274-275 - 2008
- [c1]Fatemeh Vafaee, Weimin Xiao, Peter C. Nelson, Chi Zhou:
Adaptively Evolving Probabilities of Genetic Operators. ICMLA 2008: 292-299 - 2007
- [p1]Fatemeh Vafaee, Peter C. Nelson, Chi Zhou, Weimin Xiao:
Dynamic Adaptation of Genetic Operators' Probabilities. NICSO 2007: 159-168
Coauthor Index
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