Theus H. Aspiras

Orcid: 0000-0002-8473-0494

According to our database1, Theus H. Aspiras authored at least 20 papers between 2011 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2022
GlacierNet2: A hybrid Multi-Model learning architecture for alpine glacier mapping.
Int. J. Appl. Earth Obs. Geoinformation, 2022

2021
Attention Focused Generative Network for Reducing Self-Occlusions in Aerial LiDAR.
Proceedings of the 50th IEEE Applied Imagery Pattern Recognition Workshop, 2021

A Feature Level Multi-Sensor Information Fusion Strategy for Land Region Classification.
Proceedings of the 50th IEEE Applied Imagery Pattern Recognition Workshop, 2021

2020
MitosisNet: End-to-End Mitotic Cell Detection by Multi-Task Learning.
IEEE Access, 2020

Multi-modal Data Analysis and Fusion for Robust Object Detection in 2D/3D Sensing.
Proceedings of the 49th IEEE Applied Imagery Pattern Recognition Workshop, 2020

2019
Skin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional Networks.
CoRR, 2019

Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases.
CoRR, 2019

Active Recall Networks for Multiperspectivity Learning through Shared Latent Space Optimization.
Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019

Edge/Region Fusion Network for Scene Labeling in Infrared Imagery.
Proceedings of the Imaging and Multimedia Analytics in a Web and Mobile World 2019, 2019

2018
Depth and Superpixel Extraction for Augmenting Human Detection.
Proceedings of the Imaging and Multimedia Analytics in a Web and Mobile World 2018, Burlingame, CA, USA, January 28, 2018

Long Short Working Memory (LSWM) Integration with Polynomial Connectivity for Object Tracking in Wide Area Motion Imagery.
Proceedings of the 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2018

2017
Hierarchical Autoassociative Polynimial Network (HAP Net) for pattern recognition.
Neurocomputing, 2017

Brain machine interface for useful human interaction via extreme learning machine and state machine design.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016
Boosted ringlet features for robust object tracking.
Proceedings of the 2016 IEEE Applied Imagery Pattern Recognition Workshop, 2016

2015
Weighted Nonlinear Line Attractor for Complex Manifold Learning.
Proceedings of the Computational Intelligence - International Joint Conference, 2015

Gaussian Nonlinear Line Attractor for Learning Multidimensional Data.
Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015

Directional ringlet intensity feature transform for tracking.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Gaussian ringlet intensity distribution (GRID) features for rotation-invariant object detection in wide area motion imagery.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2011
Multi-Pose Face Recognition And Tracking System.
Proceedings of the Complex Adaptive Systems 2011 Conference, 2011

Log power representation of EEG spectral bands for the recognition of emotional states of mind.
Proceedings of the 8th International Conference on Information, 2011


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