Call for papers for GECCO 2026 Evolutionary Machine Learning (EML) track! The global search of evolutionary methods complements the local search process that typically underpins non-evolutionary ML methods.
Chaired by @DocUrbs and Will Browne.
https://t.co/MAzc8be07T
New rule-based #machinelearning modeling algorithm (HEROS) as a high performing, noise-agnostic, and human interpretable alternative to other supervised ML modelers. 3:50pm Azul Room, Evolutionary ML Track @GECCO2025 #OpenAccess
https://t.co/9ODHO8qsfC
https://t.co/zkEKVNYxAx
My colleague @vigocarpathian wrote this interesting piece on procrastination and making progress in scientific #writing. #phdlife
https://t.co/BclmWkW21F
Video of our recent @GeccoConf talk on "Survival-LCS: A Rule-based #MachineLearning Approach to Survival Analysis". Awarded best paper in the Evolutionary Machine Learning Track.
https://t.co/JYhFK47XHY
@moorejh, Alexa Woodward, Harsh Bandhey @CedarsSinaiMed@UPennDBEI
Thanks to the @GeccoConf community for the best paper award for our work on interpretable rule based #MachineLearning in survival data analysis. @moorejh@theactualAlexa and Harsh Bandhey. Stiff competition with the other fantastic best paper nominations!
@GeccoConf Join us in the 2:30 Evolutionary #MachineLearning session for our talk on developing the first interpretable rule-based ML algorithm for analyzing complex associations in survival data. Nominated for a best paper award. @theactualAlexa, @moorejh, Harsh Bandhey
@GeccoConf Very nice opening keynote by Dr. Toby Walsh on "Generative AI: Why all the fuss?" Highlighting the qualities and limitations. #ArtificialInteligence
New introductory video lecture on the basics of #HLA#immunology towards research in tissue #transplantation by our collaborator Dr. Nicholas Brown (UPenn). Related to our lab's #MachineLearning research in developing FIBERS (https://t.co/QqIJOlgSYP).
https://t.co/C1auoX4NtF
Announcing special issue on โXCSโ rule-based #MachineLearning in the Evolutionary Computation Journal. The XCS learning classifier system is now 30 years old - proposed before XAI and RL became 'hot topics' in #ArtificialIntelligence.
Details at link:
https://t.co/bkipQ5iCKf