research
∙
10/27/2021
Comparing Heuristics, Constraint Optimization, and Reinforcement Learning for an Industrial 2D Packing Problem
Cutting and Packing problems are occurring in different industries with ...
share
research
∙
06/03/2020
Earnings Prediction with Deep Leaning
In the financial sector, a reliable forecast the future financial perfor...
research
∙
05/06/2020
Evolutionary Multi-Objective Design of SARS-CoV-2 Protease Inhibitor Candidates
Computational drug design based on artificial intelligence is an emergin...
research
∙
03/23/2020
Learned Weight Sharing for Deep Multi-Task Learning by Natural Evolution Strategy and Stochastic Gradient Descent
In deep multi-task learning, weights of task-specific networks are share...
research
∙
06/21/2019
Acute Lymphoblastic Leukemia Classification from Microscopic Images using Convolutional Neural Networks
Examining blood microscopic images for leukemia is necessary when expens...
research
∙
06/26/2018
Limited Evaluation Evolutionary Optimization of Large Neural Networks
Stochastic gradient descent is the most prevalent algorithm to train neu...
research
∙
06/21/2018
Lamarckian Evolution of Convolutional Neural Networks
Convolutional neural networks belong to the most successul image classif...
research
∙
05/15/2018
Multi-label Classification of Surgical Tools with Convolutional Neural Networks
Automatic tool detection from surgical imagery has a multitude of useful...
research
∙
09/11/2017
Evolution of Convolutional Highway Networks
Convolutional highways are deep networks based on multiple stacked convo...
research
∙
07/19/2011
