Improving Electric Fraud Detection using Class Imbalance Strategies. - Matías Di Martino; Federico Decia; Juan Molinelli; Alicia Fernández (ICPRAM (2), 2012)

A new framework for optimal classifier design. - Matías Di Martino; Guzmán Hernández; Marcelo Fiori; Alicia Fernández (Pattern Recognit., 2013)

Novel classifier scheme for imbalanced problems. - Matías Di Martino; Alicia Fernández; Pablo A. Iturralde; Federico Lecumberry (Pattern Recognit. Lett., 2013)

3D curvature analysis with a novel one-shot technique. - Matías Di Martino; Alicia Fernández; José A. Ferrari (ICIP, 2014)

One-Shot 3D-Gradient Method Applied to Face Recognition. - Matías Di Martino; Alicia Fernández; José A. Ferrari (CIARP, 2015)

Automatic Eyes and Nose Detection Using Curvature Analysis. - J. Matías Di Martino; Alicia Fernández; José A. Ferrari (CIARP, 2015)

Optimal and Linear F-Measure Classifiers Applied to Non-technical Losses Detection. - Fernanda Rodríguez; Matías Di Martino; Juan Pablo Kosut; Fernando Santomauro; Federico Lecumberry; Alicia Fernández (CIARP, 2015)

An optimal multiclass classifier design. - Marcelo Fiori; Matías Di Martino; Alicia Fernández (ICPR, 2016)

Poisson Image Editing. - J. Matías Di Martino; Gabriele Facciolo; Enric Meinhardt-Llopis (Image Process. Line, 2016)

Computer Vision based System for Apple Detection in Crops. - Mercedes Marzoa Tanco; Gonzalo Tejera; Matías Di Martino (VISIGRAPP (4: VISAPP), 2018)

Liveness Detection Using Implicit 3D Features. - J. Matías Di Martino; Qiang Qiu 001; Trishul Nagenalli; Guillermo Sapiro (CoRR, 2018)

An Analysis and Implementation of Multigrid Poisson Solvers With Verified Linear Complexity. - Matías Di Martino; Gabriele Facciolo (Image Process. Line, 2018)

SalGaze: Personalizing Gaze Estimation using Visual Saliency. - Zhuoqing Chang; J. Matías Di Martino; Qiang Qiu 001; Steven Espinosa; Guillermo Sapiro (ICCV Workshops, 2019)

Nested Learning For Multi-Granular Tasks. - Raphaël Achddou; J. Matías Di Martino; Guillermo Sapiro (CoRR, 2020)

Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method. - J. Matías Di Martino; Fernando Suzacq; Mauricio Delbracio; Qiang Qiu 001; Guillermo Sapiro (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Nested Learning for Multi-Level Classification. - Raphaël Achddou; J. Matías Di Martino; Guillermo Sapiro (ICASSP, 2021)

NTL Detection: Overview of Classic and DNN-based Approaches on a Labeled Dataset of 311k Customers. - Pablo Massaferro; J. Matías Di Martino; Alicia Fernández (ISGT, 2021)

Rethinking Shape From Shading for Spoofing Detection. - J. Matías Di Martino; Qiang Qiu 001; Guillermo Sapiro (IEEE Trans. Image Process., 2021)

Computational and image processing methods for analysis and automation of anatomical alignment and joint spacing in reconstructive surgery. - Usamah N. Chaudhary; Cambre N. Kelly; Benjamin R. Wesorick; Cameron M. Reese; Ken Gall; Samuel B. Adams; Guillermo Sapiro; J. Matías Di Martino (Int. J. Comput. Assist. Radiol. Surg., 2022)

Fraud Detection on Power Grids While Transitioning to Smart Meters by Leveraging Multi-Resolution Consumption Data. - Pablo Massaferro; J. Matías Di Martino; Alicia Fernández (IEEE Trans. Smart Grid, 2022)

Automatic Neurocranial Landmarks Detection from Visible Facial Landmarks Leveraging 3D Head Priors. - Oded Schlesinger; Raj Kundu; Stefan M. Goetz; Guillermo Sapiro; Angel V. Peterchev; J. Matías Di Martino (CLIP/FAIMI/EPIMI@MICCAI, 2023)

NILMEV: Electric Vehicle disaggregation for residential customer energy efficiency incentives. - Camilo Mariño; Guillermo Cossio; Pablo Massaferro; Matías Di Martino; Alvaro Gómez; Alicia Fernández (ISGT, 2023)

A tablet-based game for the assessment of visual motor skills in autistic children. - Sam Perochon; J. Matías Di Martino; Kimberly L. H. Carpenter; Scott Compton; Naomi Davis; Steven Espinosa; Lauren Franz; Amber D. Rieder; Connor Sullivan; Guillermo Sapiro; Geraldine Dawson (npj Digit. Medicine, 2023)

Exploring Complexity of Facial Dynamics in Autism Spectrum Disorder. - Pradeep Raj Krishnappa Babu; J. Matías Di Martino; Zhuoqing Chang; Sam Perochon; Kimberly L. H. Carpenter; Scott Compton; Steven Espinosa; Geraldine Dawson; Guillermo Sapiro (IEEE Trans. Affect. Comput., 2023)

Large-scale Validation of a Scalable and Portable Behavioral Digital Screening Tool for Autism at Home. - Pradeep Raj Krishnappa Babu; J. Matías Di Martino; Kimberly L. H. Carpenter; Scott Compton; Naomi Davis; Brian Eichner; Steven Espinosa; Lauren Franz; Sam Perochon; Geraldine Dawson; Guillermo Sapiro (CHI Extended Abstracts, 2024)

Digital Phenotyping based on a Mobile App Identifies Distinct and Overlapping Features in Children Diagnosed with Autism versus ADHD. - Vikram Aikat; Pradeep Raj Krishnappa Babu; Kimberly L. H. Carpenter; J. Matías Di Martino; Steven Espinosa; Naomi Davis; Lauren Franz; Marina Spanos; Geraldine Dawson; Guillermo Sapiro (UIST (Adjunct Volume), 2024)

Scalp surface estimation and head registration using sparse sampling and 3D statistical models. - Oded Schlesinger; Raj Kundu; Dmitry Isaev; Jessica Y. Choi; Stefan M. Goetz; Dennis A. Turner; Guillermo Sapiro; Angel V. Peterchev; J. Matías Di Martino (Comput. Biol. Medicine, 2024)

Vision Transformers with Natural Language Semantics. - Young-Kyung Kim; J. Matías Di Martino; Guillermo Sapiro (CoRR, 2024)

MAgro dataset: A dataset for simultaneous localization and mapping in agricultural environments. - Mercedes Marzoa Tanco; Guillermo Trinidad Barnech; Federico Andrade; Javier Baliosian; Martin Llofriu; J. Matías Di Martino; Gonzalo Tejera (Int. J. Robotics Res., 2024)

Generalizing Neural Additive Models via Statistical Multimodal Analysis. - Young-Kyung Kim; J. Matías Di Martino; Guillermo Sapiro (Trans. Mach. Learn. Res., 2024)

FoldDiff: Folding in Point Cloud Diffusion. - Yuzhou Zhao; J. Matías Di Martino; Amirhossein Farzam; Guillermo Sapiro (Trans. Mach. Learn. Res., 2025)

iLSU-T: an Open Dataset for Uruguayan Sign Language Translation. - Ariel E. Stassi; Yanina Boria; J. Matías Di Martino; Gregory Randall (CoRR, 2025)