Trend and Network Analysis of Common Eligibility Features for Cancer Trials in ClinicalTrials.gov. - Chunhua Weng; Anil Yaman; Kuo Lin; Zhe He 001 (ICSH, 2014)

ArticlesAboutMe.org: Disseminating Clinical Trials Results to Patients. - Vojtech Huser; Anil Yaman; Chunhua Weng; James J. Cimino (AMIA, 2015)

Similarity-Based Recommendation of New Concepts to a Terminology. - Praveen Chandar Ravichandran; Anil Yaman; Julia Hoxha; Zhe He 001; Chunhua Weng (AMIA, 2015)

How Have Cancer Clinical Trial Eligibility Criteria Evolved Over Time? - Anil Yaman; Shreya Chakrabarti; Anando Sen; Chunhua Weng (CRI, 2016)

A Framework for Knowledge Integrated Evolutionary Algorithms. - Ahmed Hallawa; Anil Yaman; Giovanni Iacca; Gerd Ascheid (EvoApplications (1), 2017)

Presenting the ECO: Evolutionary Computation Ontology. - Anil Yaman; Ahmed Hallawa; Matt Coler; Giovanni Iacca (EvoApplications (1), 2017)

Multi-strategy Differential Evolution. - Anil Yaman; Giovanni Iacca; Matt Coler; George H. L. Fletcher; Mykola Pechenizkiy (EvoApplications, 2018)

Limited evaluation cooperative co-evolutionary differential evolution for large-scale neuroevolution. - Anil Yaman; Decebal Constantin Mocanu; Giovanni Iacca; George H. L. Fletcher; Mykola Pechenizkiy (GECCO, 2018)

The representativeness of eligible patients in type 2 diabetes trials: a case study using GIST 2.0. - Anando Sen; Andrew Goldstein; Shreya Chakrabarti; Ning Shang; Tian Kang; Anil Yaman; Patrick B. Ryan; Chunhua Weng (J. Am. Medical Informatics Assoc., 2018)

Learning with delayed synaptic plasticity. - Anil Yaman; Giovanni Iacca; Decebal Constantin Mocanu; George H. L. Fletcher; Mykola Pechenizkiy (GECCO, 2019)

Novelty producing synaptic plasticity. - Anil Yaman; Giovanni Iacca; Decebal Constantin Mocanu; George Fletcher 001; Mykola Pechenizkiy (GECCO Companion, 2020)

Topological Insights into Sparse Neural Networks. - Shiwei Liu 003; Tim van der Lee; Anil Yaman; Zahra Atashgahi; Davide Ferraro; Ghada Sokar; Mykola Pechenizkiy; Decebal Constantin Mocanu (ECML/PKDD (3), 2020)

Distributed Embodied Evolution in Networks of Agents. - Anil Yaman; Giovanni Iacca (CoRR, 2020)

Topological Insights in Sparse Neural Networks. - Shiwei Liu 003; Tim van der Lee; Anil Yaman; Zahra Atashgahi; Davide Ferraro; Ghada Sokar; Mykola Pechenizkiy; Decebal Constantin Mocanu (CoRR, 2020)

Promoting Behavioral Diversity via Multi-Objective/Quality-Diversity Novelty Producing Synaptic Plasticity. - Edoardo Bizzotto; Anil Yaman; Giovanni Iacca (SSCI, 2021)

Distributed embodied evolution over networks. - Anil Yaman; Giovanni Iacca (Appl. Soft Comput., 2021)

Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions. - Anil Yaman; Giovanni Iacca; Decebal Constantin Mocanu; Matt Coler; George Fletcher 001; Mykola Pechenizkiy (Evol. Comput., 2021)

The emergence of division of labor through decentralized social sanctioning. - Anil Yaman; Joel Z. Leibo; Giovanni Iacca; Sang Wan Lee (CoRR, 2022)

Meta-control of social learning strategies. - Anil Yaman; Nicolas Bredèche; Onur Çaylak; Joel Z. Leibo; Sang Wan Lee (PLoS Comput. Biol., 2022)

An Approach to Representation Learning in Morphological Robot Evolution. - Aart C. Stuurman; Anil Yaman; A. E. Eiben (SSCI, 2023)

Online distributed evolutionary optimization of Time Division Multiple Access protocols. - Anil Yaman; Tim van der Lee; Giovanni Iacca (Expert Syst. Appl., 2023)

Collaborative Interactive Evolution of Art in the Latent Space of Deep Generative Models. - Ole Hall; Anil Yaman (EvoMUSART, 2024)

Heuristics for Evolutionary Optimization for the Centered Bin Packing Problem. - Luke de Jeu; Anil Yaman (EvoApplications@EvoStar, 2024)

The Effect of Training Schedules on Morphological Robustness and Generalization. - Edoardo Barba; Anil Yaman; Giovanni Iacca (GECCO Companion, 2024)

An investigation on the use of Large Language Models for hyperparameter tuning in Evolutionary Algorithms. - Leonardo Lucio Custode; Fabio Caraffini; Anil Yaman; Giovanni Iacca (GECCO Companion, 2024)

Evolving Generalist Controllers to Handle a Wide Range of Morphological Variations. - Corinna Triebold; Anil Yaman (GECCO, 2024)

A Perturbation and Speciation-Based Algorithm for Dynamic Optimization Uninformed of Change. - Federico Signorelli; Anil Yaman (GECCO, 2025)