Anil Yaman

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 33

Top Topics

Synaptic Plasticity

Division Multiple Access

Autonomous Learning

Evolutionary Optimization

Top Venues

GECCO Companion

Publications

Corinna Triebold, Anil Yaman
Evolving Generalist Controllers to Handle a Wide Range of Morphological Variations. GECCO (2024)
Ole Hall, Anil Yaman
Collaborative Interactive Evolution of Art in the Latent Space of Deep Generative Models. EvoMUSART (2024)
Edoardo Barba, Anil Yaman, Giovanni Iacca
The Effect of Training Schedules on Morphological Robustness and Generalization. GECCO Companion (2024)
Luke de Jeu, Anil Yaman
Heuristics for Evolutionary Optimization for the Centered Bin Packing Problem. EvoApplications@EvoStar (2024)
Ole Hall, Anil Yaman
Collaborative Interactive Evolution of Art in the Latent Space of Deep Generative Models. CoRR (2024)
Leonardo Lucio Custode, Fabio Caraffini, Anil Yaman, Giovanni Iacca
An investigation on the use of Large Language Models for hyperparameter tuning in Evolutionary Algorithms. GECCO Companion (2024)
Edoardo Barba, Anil Yaman, Giovanni Iacca
The Effect of Training Schedules on Morphological Robustness and Generalization. CoRR (2024)
Corinna Triebold, Anil Yaman
Evolving generalist controllers to handle a wide range of morphological variations. CoRR (2023)
Aart C. Stuurman, Anil Yaman, A. E. Eiben
An Approach to Representation Learning in Morphological Robot Evolution. SSCI (2023)
Anil Yaman, Tim van der Lee, Giovanni Iacca
Online distributed evolutionary optimization of Time Division Multiple Access protocols. Expert Syst. Appl. 211 (2023)
Anil Yaman, Tim van der Lee, Giovanni Iacca
Online Distributed Evolutionary Optimization of Time Division Multiple Access Protocols. CoRR (2022)
Anil Yaman, Nicolas Bredèche, Onur Çaylak, Joel Z. Leibo, Sang Wan Lee
Meta-control of social learning strategies. PLoS Comput. Biol. 18 (2) (2022)
Anil Yaman, Joel Z. Leibo, Giovanni Iacca, Sang Wan Lee
The emergence of division of labor through decentralized social sanctioning. CoRR (2022)
Anil Yaman, Nicolas Bredèche, Onur Çaylak, Joel Z. Leibo, Sang Wan Lee
Meta-control of social learning strategies. CoRR (2021)
Anil Yaman, Giovanni Iacca
Distributed embodied evolution over networks. Appl. Soft Comput. 101 (2021)
Edoardo Bizzotto, Anil Yaman, Giovanni Iacca
Promoting Behavioral Diversity via Multi-Objective/Quality-Diversity Novelty Producing Synaptic Plasticity. SSCI (2021)
Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, Matt Coler, George Fletcher, Mykola Pechenizkiy
Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions. Evol. Comput. 29 (3) (2021)
Ahmed Hallawa, Anil Yaman, Giovanni Iacca, Gerd Ascheid
A Framework for Knowledge Integrated Evolutionary Algorithms. CoRR (2021)
Anil Yaman, Giovanni Iacca
Distributed Embodied Evolution in Networks of Agents. CoRR (2020)
Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, George H. L. Fletcher, Mykola Pechenizkiy
Novelty Producing Synaptic Plasticity. CoRR (2020)
Shiwei Liu, Tim van der Lee, Anil Yaman, Zahra Atashgahi, Davide Ferraro, Ghada Sokar, Mykola Pechenizkiy, Decebal Constantin Mocanu
Topological Insights in Sparse Neural Networks. CoRR (2020)
Shiwei Liu, Tim van der Lee, Anil Yaman, Zahra Atashgahi, Davide Ferraro, Ghada Sokar, Mykola Pechenizkiy, Decebal Constantin Mocanu
Topological Insights into Sparse Neural Networks. ECML/PKDD (3) (2020)
Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, George Fletcher, Mykola Pechenizkiy
Novelty producing synaptic plasticity. GECCO Companion (2020)
Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, George H. L. Fletcher, Mykola Pechenizkiy
Learning with Delayed Synaptic Plasticity. CoRR (2019)
Anil Yaman, Decebal Constantin Mocanu, Giovanni Iacca, Matt Coler, George H. L. Fletcher, Mykola Pechenizkiy
Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions. CoRR (2019)
Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, George H. L. Fletcher, Mykola Pechenizkiy
Learning with delayed synaptic plasticity. GECCO (2019)
Anil Yaman, Giovanni Iacca, Matt Coler, George H. L. Fletcher, Mykola Pechenizkiy
Multi-strategy Differential Evolution. EvoApplications (2018)
Anil Yaman, Decebal Constantin Mocanu, Giovanni Iacca, George H. L. Fletcher, Mykola Pechenizkiy
Limited Evaluation Cooperative Co-evolutionary Differential Evolution for Large-scale Neuroevolution. CoRR (2018)
Anando Sen, Andrew Goldstein, Shreya Chakrabarti, Ning Shang, Tian Kang, Anil Yaman, Patrick B. Ryan, Chunhua Weng
The representativeness of eligible patients in type 2 diabetes trials: a case study using GIST 2.0. J. Am. Medical Informatics Assoc. 25 (3) (2018)
Anil Yaman, Decebal Constantin Mocanu, Giovanni Iacca, George H. L. Fletcher, Mykola Pechenizkiy
Limited evaluation cooperative co-evolutionary differential evolution for large-scale neuroevolution. GECCO (2018)
Anil Yaman, Ahmed Hallawa, Matt Coler, Giovanni Iacca
Presenting the ECO: Evolutionary Computation Ontology. EvoApplications (1) (2017)
Ahmed Hallawa, Anil Yaman, Giovanni Iacca, Gerd Ascheid
A Framework for Knowledge Integrated Evolutionary Algorithms. EvoApplications (1) (2017)
Anil Yaman, Shreya Chakrabarti, Anando Sen, Chunhua Weng
How Have Cancer Clinical Trial Eligibility Criteria Evolved Over Time? CRI (2016)
Vojtech Huser, Anil Yaman, Chunhua Weng, James J. Cimino
ArticlesAboutMe.org: Disseminating Clinical Trials Results to Patients. AMIA (2015)
Praveen Chandar Ravichandran, Anil Yaman, Julia Hoxha, Zhe He, Chunhua Weng
Similarity-Based Recommendation of New Concepts to a Terminology. AMIA (2015)
Chunhua Weng, Anil Yaman, Kuo Lin, Zhe He
Trend and Network Analysis of Common Eligibility Features for Cancer Trials in ClinicalTrials.gov. ICSH (2014)