Launch week offerEnds in00h00m00s

annual Promonthly Pro

Thiago Medeiros Carvalho

Researcher

Pontifical Catholic University of Rio de Janeiro

Brazil

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Articles (17)

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Collaborators (2)

Marley Vellasco

Professor

Pontifical Catholic University of Rio de Janeiro

BRAZIL

View details

Jefersson dos Santos

Lecturer in Computer Vision

University of Sheffield

UNITED KINGDOM

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Thiago Medeiros Carvalho

Research Interests

Make your next move.

Articles (17)

Enhanced Quantum-Inspired Neural Architecture Search with Adaptive Pre-trained Backbone Integration

Towards out-of-distribution detection using gradient vectors

PV Power Generation Forecasting with Fuzzy Inference Systems

Exploring distribution-based approaches for out-of-distribution detection in deep learning models

Application of ANFIS Ensemble with Sparsemax Activation in Ship Acoustic Classification

Quantum-Inspired NAS with Attention-Based Search Spaces in Medical Applications

Using Language Models for Extracting Legal Decisions from Portuguese Consumer Law Texts

WQ-NAS: A Weighted Objective Approach for Quantum-Inspired Neural Architecture Search in Medical Image Classification

e-AutoMFIS2: A Multi-Objective Fuzzy Model for Interpretable Multivariate Time Series Forecasting

Hybrid Fuzzy Genetic Method to Evolve PID Analog Circuits

A Neuroevolutionary Approach for System Identification

Outlier Exposure for Open Set Crop Recognition From Multitemporal Image Sequences

Automatic generation of fuzzy inference systems for multivariate time series forecasting

A Feature-Based Out-of-Distribution Detection Approach in Skin Lesion Classification

A Feature-Driven Approach to Identifying Unseen Pathologies in Skin Lesion Classification

Gaussian-Based Approach for Out-of-Distribution Detection in Deep Learning

Out-of-Distribution Detection in Deep Learning Models: A Feature Space-Based Approach

Collaborators (2)

Marley Vellasco

Jefersson dos Santos

Make your next move.