Posters

First Day Nombre Apellido Poster
1 Luciana Ferrer Joint Probabilistic Linear Discriminant Analysis
2 Yigal Weinberger Peering into the "Black Box": Using Human-Interpretable Machine learning for better Malware detection.
3 Mirjana Efremova Machine learning approaches in single cell biology
4 Pablo Ernesto Riera Using autoencoders latent space for timbre space analysis
5 Liam Connell Inside the Black Box: Using the gradient of the loss fn with respect to input values to understand what an LSTM "sees" over time
6 Diego Tomassi A unifying view of microbiome data analysis through sufficient dimension reduction.
7 Enzo Ferrante Deep learning for medical image registration
8 Federico Pablo Lotto ANN asymmetry measures
9 Eniuce Menezes de Souza Bootstrapping time series from wavelet-based methods
10 Xavier Ignacio González Convolutional Deep Neural Network Model to classify citizen complaints in Bogota.
11 Rachel Melamed Causal inference to repurpose FDA-approved drugs for cancer therapy and prevention
12 Jonathan Maffie Super-Resolution Processing of Fetal Brain MRI and Developmental Age Prediction
13 Francisco Forster Next generation astronomical brokers
14 Quan Le Applying N-to-1 neural network in protein 3D structure classification
15 Carlos Rios .
16 Gabriel Agustín Maggiotti Automated Brain Disorders Diagnosis through Deep Neural Networks
17 Pablo Casas Variable selection using information theory and genetic algorithms
18 Carlos Ariel Giménez Structural reducibility of multilayer network using quantum mechanics method
19 Lukas Froehlich Active Model Learning for Feedback Controlled Systems
20 María Hernández Rubio Identifying valuable customers with very few data
21 Alejandro Vidal Mata Iterative ML development. How to synchronize analytic needs and product development rhythm.
22 Tatiana Grunina Value of service model
23 Mateusz Maciejewski Using Probabilistic Graphical Models to Engineer Pathway-Based Features for Gene Expression Data Analysis
24 Pablo Brusco Detection of sociolinguistic events in collaborative dialogues from continuous EEG data
25 Martin Alejandro Miguel Beat tracking model for cognitive evaluation
26 María Lara Gauder Emotion classification from speech using prosodic and spectral attributes.
27 Gustavo Andrés Landfried Faithfulness-boost effect: Skill acquisition improved by grouping strategies
28 María Luz Alvarez Protein ligand binding affinity prediction via Machine Learning
29 Federico Albanese The Mass Media bias: Using natural language processing techniques on news articles during the 2016 USA presidential election and measuring its influence
30 Hernán Ceferino Vázquez Slimming JavaScript applications: Predicting the minimum Code required by a User
31 Luis Emiliano Sanchez An approch for estimating runtime properties of software components in mobile devices.
32 Eric Lionel Koplin Joint estimation of high-dimensional covariance matrices and their inverses
33 Diego Isaías Ibañez A comparison of dependence measures for semi-parametric sufficient dimension reduction
34 Nicolás Nieto New Algorithms for Brain-Computer Interfaces in Adverse Scenarios
35 Leandro Bugnon New machine learning approaches for continuous affective recognition from physiological signals.
36 Jonathan Raad Prediction of new pre-miRNA with Levenshtein distance and deep learning
37 Sebastián Vanrell Recognition of feeding behaviors from acoustic signals in grazing cattle
38 Victoria Peterson Anisotropic mixed-norm regularization for brain signal detection
39 Agustina Arroyuelo Bayesian Model-comparison of Biomolecular Structures
40 Jonathan David Bossio Sola Identification of hadronically-decaying W bosons and top quarks using BDT and DNN in ATLAS
41 Juan Ignacio Larregui Leveraging Geometry in Deep Learning for Unsupervised 3D Reconstruction from Images
42 Milagro Teruel Neural Co-embeddings for student modeling
43 Ramiro Germán Rodríguez Colmeiro Tomographic Image Segmentation by Means of Recurrent Neural Networks on Mesh Structures
44 Rocío Hubert Mining Government Social Media Data and Citizen Response
45 Juan Martín Loyola Early Text Classification for Early Detection of Signs of Depression
46 Nicolás Unger Application of Nested Sampling and Active Learning algorithms to the search of extrasolar planets
47 Maximiliano Antonio Sacco Synthesizing atmospheric radar images from IR satellite channel using generative deep neural networks.
48 Agustín Somacal Gene multiplex network integration for disease priorization
49 Melisa Maidana Capitán A novel method for automatic seizure characterization in field potentials registered with implanted electrodes.
50 Leandro Garber Sampler-like musical instrument using unsupervised learning and dimensionality reduction methods
51 Clara Lucía Galimberti Confounding a classifier: a technique to make morphometric data of different field strength sMRI compatible
52 Mariela Rajngewerc Wetlands land cover classification using supervised learning
53 Ignacio Evangelista Confounding a classifier: a technique to make morphometric data of different field strength sMRI compatible
54 Luis Emilio Fenoy Deep convolutional neural networks applied to phosphorylation site prediction
55 Gonzalo Chebi Robust Estimators for the Logistic Regression Model under a High-Dimensional Framework
56 Juan Andrés Biondi Computational models of eye movement behavior
57 Ana Laura Diedrichs Prediction of frost events using Bayesian networks and Random Forest




Second Day Nombre Apellido Poster
58 Rodrigo Castano Predicting Software Model Checking Performance
59 Manuel Llanos Machine Learning applied to drug discovery. A QSAR model to identify novel TRPV1 channel antagonists.
60 Jonathan Martin Patterns of markup use in Wikipedias context
61 Agustín Garassino A Comparative Empirical Study of Discrete Choice Models
62 Gino Marceca Adversarial Neural Networks for Decorrelated Jet Substructure Observables.
63 Javier Kreiner BetBot: an AI agent to bet on the online football market.
64 Magdalena Bouza Lossy Dielectric Target Classification for UWB radar signals
65 Nadia Denise Roman Engineering applications of metamodel-based optimization: genetic algorithms coupled with artificial neural networks
66 Robert Zinkov Automating Expectation Maximixation
67 Andrew Warrington Parameter Inference in Physiologically Derived C. Elegans Models
68 Federico Zimmerman A Large Scale Investigation of Simple Additions and Multiplications
69 Martín Menchon Comparison of Deep Learning cell counting alternatives in Multispectral High Resolution Fluorescence images
70 Yamila Barrera Recommendation systems: a review on matrix factorization techniques and factorization machines
71 Ricardo Montalvo Lezama Analysis of Spatio-Temporal Video Features for Classification
72 Ramón De Oliveira Known Unknowns: Uncertainty Quality in Bayesian Neural Networks
73 Tijana Zrnic SAFFRON: an Adaptative algorithm for online control of the False Discovery rate
74 Robin Vogel A Probabilistic Theory of Supervised Similarity Learning: Pairwise Bipartite Ranking and Pointwise ROC Curve Optimization
75 Matthias Werner Probabilistic model adaption in deep learning
76 David Zoltowski Extending models of latent dynamics in area LIP during perceptual decision-making
77 Ari Seff Continual Generative Modeling
78 Maja Rudolph Word2Net: Deep Representations of Language
79 Archit Verma Nonparametric Deconvolution Model for Learning Cell-Specific Expression Profiles
80 Miriam Shiffman Probabilistic reconstruction of cellular differentiation trees from single-cell RNA-seq data
81 Vanessa D'Amario Spectral analysis and graphical methods for the automatic interpretation of epileptic time series
82 Juan Felipe Hernández Albarracín Video-to-Video Dynamics Transfer with Deep Generative Models
83 Darwin Danilo Saire Pilco Graph Convolutional Network for Semantic Segmentation
84 Constanza Contreras Piña Exploring latent semantic models for applications in industry
85 Renny Javier Márquez Contreras Representing communities in social networks with spanning trees
86 Rodrigo Lara Testing state-of-art CNN-RNN architectures on building and land-use classification
87 Gonzalo Rios Wasserstein Barycenters for Bayesian Learning: Application to Gaussian Process
88 Rel Guzmán Apaza Normalizing Flows for Variational Bayes in a Semi-supervised Clustering Setting
89 Gerardo Martínez Analysis of RNA Virus Evolution Using Entropy-Based Measures
90 Guillermo Dufort Application of information theory to feature selection techniques for the classification of metagenomic long-reads.
91 Marin Toromanoff End-to-End Driving in a Realistic Racing Game with Deep Reinforcement Learning
92 Simon Bussy Automatic cut-points detection in high-dimensional Cox model
93 Giulia Luise Structured Prediction with Wasserstein Loss
94 Pamela Carvallo Security in the Cloud: An Anomaly-based Detection Framework for the Insider Threat
95 Dieu Linh Tran GAGAN: Geometry-Aware Generative Adversarial Networks
96 Marton Havasi Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo
97 Yuan Zhou Inference Trees: Adaptive Inference with Exploration
98 Zbigniew Wojna The Devil is in the Decoder
99 Christopher Cueva Emergence of grid-like representations by training recurrent neural networks to perform spatial localization
100 Mukund Seethamraju Tighter bounds for Multi Arm Bandit Learning in Adversarial Setting
101 Wenling Shang Channel-Recurrent Autoencoding for Image Modeling
102 Christian Donner Efficient Bayesian Inference of Sigmoid Gaussian Cox Processes
103 Yoshihiro Nagano Concept Formation and Dynamics of Repeated Inference in Deep Generative Models
104 Jasper Velthoen Forecasting extreme precipitation using extreme quantile regression
105 Sabrina Kletz On Reducing the Effort in Evaluating Laparoscopic Techniques: The Need for Computerized Video Evaluations
106 Simphiwe Zitha ZCal: Machine learning methods for calibrating radio interferometric data.
107 Roy Henha Eyono Reinforcement Learning for Optimizing Deep Learning Architectures
108 Amartya Sanyal Understanding low rank structure in the activations of neural networks
109 Verónica Tozzo Latent variable time-varying network inference
110 Anna Trofimova Applying emotional context to the decision-making processes of social robots.
111 Agnes Nielsen Prediction of disease progression using irregularly sampled longitudinal data
112 Mastane Achab Ranking Data with Continuous Labels through Oriented Recursive Partitions
113 Caroline Haimerl Shared stochastic modulation can facilitate biologically plausible decoding.
114 Carlos Rios Strategies for selecting and weighting users for recommendation in location based social network.