Nina L. Lanza

According to our database, Nina L. Lanza authored at least 8 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Optimized Martian Dust Displacement Detection Using Explainable Machine Learning.

Ana Lomashvili, Kristin Rammelkamp, Olivier Gasnault, Protim Bhattacharjee, Elise Clavé, Christoph H. Egerland, Susanne Schröder, Begüm Demir, Nina L. Lanza

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2021

Long-Distance 3D Reconstructions Using Photogrammetry with Curiosity's ChemCam Remote Micro-Imager in Gale Crater (Mars).

Gwénaël Caravaca, Stéphane Le Mouélic, William Rapin, Gilles Dromart, Olivier Gasnault, Amaury Fau, Horton E. Newsom, Nicolas Mangold, Laetitia Le Deit, Sylvestre Maurice, Roger C. Wiens, Nina L. Lanza

Remote. Sens., 2021

2020

Deep Spectral CNN for Laser Induced Breakdown Spectroscopy.

Juan Castorena, Diane Oyen, Ann Ollila, Carey Legget, Nina Lanza

CoRR, 2020

2019

Learning Diverse Gaussian Graphical Models and Interpreting Edges.

Roozbeh Yousefzadeh, Diane Oyen, Nina Lanza

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

2018

Mars Target Encyclopedia: Rock and Soil Composition Extracted From the Literature.

Kiri L. Wagstaff, Raymond Francis, Thamme Gowda, You Lu, Ellen Riloff, Karanjeet Singh, Nina L. Lanza

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016

Creating a Mars Target Encyclopedia by Extracting Information from the Planetary Science Literature.

Kiri L. Wagstaff, Ellen Riloff, Nina L. Lanza, Chris A. Mattmann, Paul M. Ramirez

Proceedings of the Knowledge Extraction from Text, 2016

2015

Discovering compositional trends in Mars rock targets from ChemCam spectroscopy and remote imaging.

Diane Oyen, Nina Lanza, Reid B. Porter

Proceedings of the 2015 IEEE Applied Imagery Pattern Recognition Workshop, 2015

2013

Guiding Scientific Discovery with Explanations Using DEMUD.

Kiri L. Wagstaff, Nina L. Lanza, David R. Thompson, Thomas G. Dietterich, Martha S. Gilmore

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013