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11/19/2020
VLG-Net: Video-Language Graph Matching Network for Video Grounding
Grounding language queries in videos aims at identifying the time interv...
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11/01/2020
DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation
In this work, we propose an AI-based method that intends to improve the ...
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10/07/2019
Algorithmic Probability-guided Supervised Machine Learning on Non-differentiable Spaces
We show how complexity theory can be introduced in machine learning to h...
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02/11/2019
Synthesizing New Retinal Symptom Images by Multiple Generative Models
Age-Related Macular Degeneration (AMD) is an asymptomatic retinal diseas...
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11/14/2018
Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning
Networks are fundamental building blocks for representing data, and comp...
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08/16/2018
Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model
Automatic clinical diagnosis of retinal diseases has emerged as a promis...
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07/09/2018
Learning Functions in Large Networks requires Modularity and produces Multi-Agent Dynamics
Networks are abundant in biological systems. Small sized over-represente...
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06/17/2018
A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases
Automatic clinical diagnosis of retinal diseases has emerged as a promis...
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05/18/2018
An Algorithmic Refinement of Maxent Induces a Thermodynamic-like Behaviour in the Reprogrammability of Generative Mechanisms
Reprogramming a generative mechanism to produce a different object is as...
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02/24/2018
Symmetry and Algorithmic Complexity of Polyominoes and Polyhedral Graphs
We introduce a definition of algorithmic symmetry able to capture essent...
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02/18/2018
Ab initio Algorithmic Causal Deconvolution of Intertwined Programs and Networks by Generative Mechanism
To extract and learn representations leading to generative mechanisms fr...
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02/18/2018
Algorithmic Information Dynamics of Persistent Patterns and Colliding Particles in the Game of Life
We demonstrate the way to apply and exploit the concept of algorithmic i...
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02/16/2018
Algorithmic Complexity and Reprogrammability of Chemical Structure Networks
Here we address the challenge of profiling causal properties and trackin...
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02/16/2018
Parameter-free Network Sparsification and Data Reduction by Minimal Algorithmic Information Loss
The study of large and complex datasets, or big data, organized as netwo...
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08/24/2015
Causality, Information and Biological Computation: An algorithmic software approach to life, disease and the immune system
Biology has taken strong steps towards becoming a computer science aimin...
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06/27/2012
