The University of Granada @CanalUGR just wrote a news article about NeSIG, our planning problem generator presented at @ecai2024 !
https://t.co/ygXNr0STzU
Next week, together with Óscar Cordón, I'll give two talks (13/12 in English & 15/12 in Spanish) about biological profile estimation using AI techniques. If you're interested on it, do not hesitate to register on the website: https://t.co/yq5HCcDg2p (Spanish)
Two of our works will have an oral presentation at the 75th Annual American Association of Forensic Sciences (AAFS) Scientific Conference, in Orlando (USA). See you there in February! #CraniofacialIdentification#MachineLearning#AAFS
Our latest progress in biological profile estimation in #ForensicAnthropology using AI techniques has also been recently accepted. It's focused on employing #DeepLearning for sex estimation of adult individuals using 2D images of the humerus https://t.co/TNh0M68GQi
Our last work on deep reinforcement learning in agent-based simulations for optimal media planning has been accepted for publication at Information Fusion https://t.co/JfIOGsiQOE
Our work entitled "A deep learning approach for the estimation of subject-to-camera distance in facial photographs" has been accepted for publication at Expert Systems with Applications! #ComputerVision#ForensicSciences#DeepLearning#FacialImaging
Our last research on “Custom Structure Preservation in Face Aging” will be presented at the European Conference on Computer Vision (ECCV'22)! https://t.co/HnFN3tIudo #FaceAging#ImageEditing#DeepLearning#ComputerVision
Our last advances combining symbolic and sub-symbolic AI techniques were recently presented at the International Conference on Theory and Practice of Satisfiability Testing (SAT'22): On the performance of #deep generative models of realistic #SAT instances https://t.co/ITJpzZ9Ohr
@FDescubre@RCRZ_UGR@PabloMesejo nos trae la charla/taller "Máquinas que aprenden solas. El ejemplo de las redes neuronales profundas para análisis de imágenes."
#IA#CNN#DNN
https://t.co/2ddyqSM3ws
Our last work entitled "Automatic landmark annotation in 3D skulls: methodological proposal and reliability study" has been accepted for publication at Computer Methods and Programs in Biomedicine https://t.co/Yh1XSfupJA #CraniofacialAnalysis#ForensicSciences