Dynamic Adaptation of Genetic Operators' Probabilities. - Fatemeh Vafaee; Peter C. Nelson; Chi Zhou; Weimin Xiao (NICSO, 2007)

Adaptively Evolving Probabilities of Genetic Operators. - Fatemeh Vafaee; Weimin Xiao; Peter C. Nelson; Chi Zhou (ICMLA, 2008)

In-network query processing in mobile P2P databases. - Bo Xu 001; Fatemeh Vafaee; Ouri Wolfson (GIS, 2009)

A Genetic Algorithm that Incorporates an Adaptive Mutation Based on an Evolutionary Model. - Fatemeh Vafaee; Peter C. Nelson (ICMLA, 2009)

Self-Adaptation of Genetic Operator Probabilities Using Differential Evolution. - Fatemeh Vafaee; Peter C. Nelson (SASO, 2009)

An explorative and exploitative mutation scheme. - Fatemeh Vafaee; Peter C. Nelson (IEEE Congress on Evolutionary Computation, 2010)

Optimizing genetic operator rates using a markov chain model of genetic algorithms. - Fatemeh Vafaee; György Turán; Peter C. Nelson (GECCO, 2010)

Novel semantic similarity measure improves an integrative approach to predicting gene functional associations. - Fatemeh Vafaee; Daniela Rosu 002; Fiona Broackes-Carter; Igor Jurisica (BMC Syst. Biol., 2013)

Balancing the exploration and exploitation in an adaptive diversity guided genetic algorithm. - Fatemeh Vafaee; György Turán; Peter C. Nelson; Tanya Y. Berger-Wolf (IEEE Congress on Evolutionary Computation, 2014)

Learning the structure of large-scale bayesian networks using genetic algorithm. - Fatemeh Vafaee (GECCO, 2014)

Among-site rate variation: adaptation of genetic algorithm mutation rates at each single site. - Fatemeh Vafaee; György Turán; Peter C. Nelson; Tanya Y. Berger-Wolf (GECCO, 2014)

Highlights from the 11th ISCB Student Council Symposium 2015: Dublin, Ireland. 10 July 2015. - 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; et al. (BMC Bioinform., 2016)

The role of crossover operator in bayesian network structure learning performance: a comprehensive comparative study and new insights. - Carlo Contaldi; Fatemeh Vafaee; Peter C. Nelson (GECCO, 2017)

Bayesian network hybrid learning using an elite-guided genetic algorithm. - Carlo Contaldi; Fatemeh Vafaee; Peter C. Nelson (Artif. Intell. Rev., 2019)

Transcriptomic Data Normalization. - Fatemeh Vafaee; Hamed Dashti; Hamid Alinejad-Rokny (Encyclopedia of Bioinformatics and Computational Biology (2), 2019)

TDAview: an online visualization tool for topological data analysis. - Kieran Walsh; Mircea A. Voineagu; Fatemeh Vafaee; Irina Voineagu (Bioinform., 2020)

Forecasting the Spread of Covid-19 Under Control Scenarios Using LSTM and Dynamic Behavioral Models. - Seid Miad Zandavi; Taha Hossein Rashidi; Fatemeh Vafaee (CoRR, 2020)

A comprehensive integrated drug similarity resource for in-silico drug repositioning and beyond. - A. K. M. Azad; Mojdeh Dinarvand; Alireza Nematollahi; Joshua Swift; Louise Lutze-Mann; Fatemeh Vafaee (Briefings Bioinform., 2021)

Supervised application of internal validation measures to benchmark dimensionality reduction methods in scRNA-seq data. - Forrest C. Koch; Gavin J. Sutton; Irina Voineagu; Fatemeh Vafaee (Briefings Bioinform., 2021)

Integrative resource for network-based investigation of COVID-19 combinatorial drug repositioning and mechanism of action. - A. K. M. Azad; Shadma Fatima; Alexander Capraro; Shafagh A. Waters; Fatemeh Vafaee (Patterns, 2021)

Blood-based transcriptomic signature panel identification for cancer diagnosis: benchmarking of feature extraction methods. - Abhishek Vijayan; Shadma Fatima; Arcot Sowmya; Fatemeh Vafaee (Briefings Bioinform., 2022)

Dynamic Hybrid Model to Forecast the Spread of COVID-19 Using LSTM and Behavioral Models Under Uncertainty. - Seid Miad Zandavi; Taha Hossein Rashidi; Fatemeh Vafaee (IEEE Trans. Cybern., 2022)

Fotomics: fourier transform-based omics imagification for deep learning-based cell-identity mapping using single-cell omics profiles. - Seid Miad Zandavi; Derong Liu; Vera Yuk Ying Chung; Ali Anaissi; Fatemeh Vafaee (Artif. Intell. Rev., 2023)

Post-transcriptional regulation supports the homeostatic expression of mature RNA. - Zheng Su; Mingyan Fang; Andrei Smolnikov; Fatemeh Vafaee; Marcel E. Dinger; Emily C. Oates (Briefings Bioinform., 2024)

Multi-omics data integration for early diagnosis of hepatocellular carcinoma (HCC) using machine learning. - Annette Spooner; Mohammad Karimi Moridani; Azadeh Safarchi; Salim Maher; Fatemeh Vafaee; Amany Zekry; Arcot Sowmya (CoRR, 2024)

A review on graph neural networks for predicting synergistic drug combinations. - Milad Besharatifard; Fatemeh Vafaee (Artif. Intell. Rev., 2024)

3D-IncNet: Head and Neck (H&N) Primary Tumors Segmentation and Survival Prediction. - Abdul Qayyum; Abdesslam Benzinou; Imran Razzak; Moona Mazher; Thanh Thi Nguyen 001; Domenec Puig; Fatemeh Vafaee (IEEE J. Biomed. Health Informatics, 2024)

Benchmarking ensemble machine learning algorithms for multi-class, multi-omics data integration in clinical outcome prediction. - Annette Spooner; Mohammad Karimi Moridani; Barbra Toplis; Jason Behary; Azadeh Safarchi; Salim Maher; Fatemeh Vafaee; Amany Zekry; Arcot Sowmya (Briefings Bioinform., 2025)