Pablo Rivas

Publications

• On the Practical Uses of Experimental Adversarial Neural Cryptography
• AI Orthopraxy: Towards a Framework for That Promotes Fairness
• Government AI Readiness Meta-Analysis for Latin America And The Caribbean
• Human Activity Classification Using Basic Machine Learning Models
• Adversarial Training Negatively Affects Fairness
• Enhancing Adversarial Examples on Deep Q Networks with Previous Information
• Evaluating Accuracy and Adversarial Robustness of Quanvolutional Neural Networks
• Modeling SQL Statement Correctness with Attention-Based Convolutional Neural Networks
• A review of Earth Artificial Intelligence
• An Adversarial Neural Cryptography Approach to Integrity Checking: Learning to Secure Data Communications
• Enhancing the Resolution of Satellite Imagery Using a Generative Model
• Hybrid Quantum Variational Autoencoders for Representation Learning
• Quantum Machine Learning: A Case Study of Grover's Algorithm
• Application-Agnostic Chatbot Deployment Considerations: A Case Study
• Towards Adversarially Robust DDoS-Attack Classification
• Machine Learning for DDoS Attack Classification Using Hive Plots
• Empirical Study of Sentence Embeddings for English Sentences Quality Assessment
• Excitement and Concerns about Machine Learning-Based Chatbots and Talkbots: A Survey
• Developing Use Cases to Support an Empathic Technology Ethics Standard
• Supercomputing leverages quantum machine learning and Grover’s algorithm
• Artificial Intelligence Computing at the Quantum Level
• Evaluation of adversarial attacks sensitivity of classifiers with occluded input data
• Marketing with ChatGPT: Navigating the Ethical Terrain of GPT-Based Chatbot Technology
• Dog Breed Identification with a Neural Network over Learned Representations from the Xception CNN Architecture
• Empirical Study of Sentence Embeddings for English Sentences Quality Assessment
• Application-Agnostic Chatbot Deployment Considerations: A Case Study
• Chatbot Deployment Considerations for Application-Agnostic Human-Machine Dialogues
• Fine Tuning a Generative Adversarial Network’s Discriminator for Student Attrition Prediction
• Machine Learning for DDoS Attack Classification Using Hive Plots
• Government AI Readiness Meta-Analysis for Latin America And The Caribbean
• Societal Benefits and Risks of Artificial Intelligence: A Succinct Survey
• DiPol-GAN: Generating Molecular Graphs Adversarially with Relational Differentiable Pooling
• Deep Sparse Autoencoders for American Sign Language Recognition using Depth Images
• Optimizing Cookie Recipes for Ratings Using Machine Learning and Deep Vector-to-Sequence Recurrent Neural Models
• Finding Time Series Breakpoints with Fully Connected Neural Networks
• Deep Neural Network Representations for Song Audio Matching and Recommendation
• Deployment and Hyper-Parameter Optimization of Chatbots
• Modeling Five Sentence Quality Representations by Finding Latent Spaces Produced with Deep Long Short-Memory Models
• Encrypting ImageNet with Chaotic Logistic Maps And AES in ECB Mode
• Neural-Based Adversarial Encryption of Imagesin ECB Mode with 16-bit Blocks
• ML-Based Feature Importance Estimation for Predicting Unethical Behaviour under Pressure
• A deep learning approach to sign language recognition using stacked sparse autoencoders
• Through the looking glass: Exposing the vulnerabilities in smart doorbell systems
• Ethics under Pressure: A Study of the Effects of Gender, Religiosity, and Income under the Perception of Pressure
• Ethics under Pressure: A Study of the Effects of Gender, Religiosity, and Income under the Perception of Pressure
• Ethical Machine Learning: Identifying and Removing Unfairness Caused by Biased Data
• Excitement and Concerns about Machine Learning-Based Chatbots and Talkbots: A Survey
• Fine Tuning a Generative Adversarial Network’s Discriminator for Student Attrition Prediction
• Neural-Based Adversarial Encryption of Images in ECB Mode with 16-Bit Blocks
• Accelerating the Training of an LP-SVR Over Large Datasets
• A Fuzzy Clustering Approach for Face Recognition Based on Face Feature Lines and Eigenvectors
• Image processing applications with a PCNN
• LP-SVR Model Selection Using an Inexact Globalized Quasi-Newton Strategy
• An algorithm for training a large scale support vector machine for regression based on linear programming and decomposition methods
• Forecasting the Demand of Short-Term Electric Power Load with Large-Scale LP-SVR
• A nonlinear least squares quasi-Newton strategy for LP-SVR hyper-parameters selection
• Performance analysis of the feedforward and som neural networks in the face recognition problem
• Automatic dust storm detection based on supervised classification of multispectral data
• A probabilistic model for stratospheric soil-independent dust aerosol detection
• Detection of leukocoria using a soft fusion of expert classifiers under non-clinical settings
• A Low-Complexity Geometric Bilateration Method for Localization in Wireless Sensor Networks and Its Comparison with Least-Squares Methods
• Identifying future drinkers: behavioral analysis of monkeys initiating drinking to intoxication is predictive of future drinking classification
• Statistical and neural pattern recognition methods for dust aerosol detection
• Subjective colocalization analysis with fuzzy predicates
• Real Time Motion Detection for Fast Human Identification Based on Face Recognition
• A Fuzzy Clustering Approach for Face Recognition Based on Face Feature Lines and Eigenvectors.
• A distributed localization algorithm for wireless sensor networks based on the solutions of spatially-constrained local problems
• Performance Evaluation of Classic and Accurate SVD Computation in a Multispectral Image Segmentation Problem
• Image Processing Applications with a PCNN
• Support Vector Machines for Regression: A Succinct Review of Large-Scale and Linear Programming Formulations
• Short Term Electric Power Consumption Forecasting using Linear Programming Support Vector Regression
• A Recursive Shortest Path Routing Algorithm with application for Wireless Sensor Network Localization
• A Fuzzy Logic Clustering Approach for Face Recognition Based on Face Feature Lines and Eigenvectors.
• Fuzzy Predicates from Linguistic Variables for Subjective Quantitative Colocalization Analysis
• Rule-Based Sentence Quality Analysis using Deep LSTM Feature Representations
• Optimizing Support Vector Machine Analysis in Low Density Biological Data Sets
• Near Real-Time Dust Aerosol Detection with Support Vector Machines for Regression
• Machine Learning-Based Chatbots: An Overview, Analysis of Trust, and Ethical Issues
• Random Forests and SVM for Handwritten Digits Recognition
• Ethics under Pressure?
• Unsupervised Deep Learning with Stacked Autoencoders on Chameleon
• NERT DADS: A Near-Real-Time Dust Aerosol Detection System.
• Algorithms for training large-scale linear programming support vector regression and classification
• Face Recognition Using Hough-KLT and a Feed-Forward Backpropagation Neural Network
• Dust Storm Detection Trough Moderate Resolution Imaging Spectroradiometer: A Machine Learning Problem
• Fusion of Fuzzy FFL-KLT and PCNN Features on the Face Recognition Problem
• Dust storm detection using a neural network with uncertainty and ambiguity output analysis
• Finding the smallest circle containing the iris in the denoised wavelet domain
• Large-Scale Sonar Target Detection with L_1-Norm SV Regression based on Unfeasible Interior Point Methods
• A Classic and Neural Probabilistic Approach to Remote Sensing: The Dust Storm Detection Problem
• A Classic and Neural Probabilistic Approach to the Dust Storm Detection Problem
• Mobile robot for face recognition: A collaborative environment
• Traditional and neural probabilistic multispectral image processing for the dust aerosol detection problem
• Face Recognition Based on Human Visual Perception Theories and Unsupervised ANN
• Self organizing maps for class discovery in the quantitative colocalization analysis feature space
• A Convolutional Neural Network approach for classifying leukocoria
• Erratum: An algorithm for training a large scale support vector machine for regression based on linear programming and decomposition methods (Pattern Recognition Letters (2013) 34:4 (439-451))
• Enhancing CNNs Performance on Object Recognition Tasks with Gabor Initialization
• Legal Natural Language Processing from 2015-2022: A Comprehensive Systematic Mapping Study of Advances and Applications
• Fairness issues, current approaches, and challenges in machine learning models
• A Modified Depolarization Approach for Efficient Quantum Machine Learning
• Quantum-Enhanced Representation Learning: A Quanvolutional Autoencoder Approach against DDoS Threats
• Navigating the Multimodal Landscape: A Review on Integration of Text and Image Data in Machine Learning Architectures
• Marketing and AI-Based Image Generation: A Responsible AI Perspective
• Legal Natural Language Processing From 2015 to 2022: A Comprehensive Systematic Mapping Study of Advances and Applications
• Using Static Analysis to Aid Monolith to Microservice System Transformation: Tuning Fuzzy c-Means in a VAE-Based GNN Approach
• AI ethics for earth sciences
• Navigating an Interdisciplinary Approach to Cybercrime Research
• A Machine Learning-based Segmentation Approach for Measuring Similarity Between Sign Languages
• PeruSIL: A Framework to Build a Continuous Peruvian Sign Language Interpretation Dataset
• Resilient Word-Embedding Alignment for BERT with Character-Based Layer in Noisy Environments
• AI Safety in Practice: Enhancing Adversarial Robustness in Multimodal Image Captioning
• Evaluating the Impact of Noise on Variational Quantum Circuits in NISQ Era Devices
• On Unsupervised Reconstruction with Dressed Multilayered Variational Quantum Circuits
• A Review on Machine Learning Algorithms for Dust Aerosol Detection using Satellite Data
• Aligning Word Embeddings from BERT to Vocabulary-Free Representations
• A Review of Pulse-Coupled Neural Network Applications in Computer Vision and Image Processing
• Bridging Industry, Government, and Academia for Socially Responsible AI: The CSEAI Initiative
• Creation and Analysis of a Natural Language Understanding Dataset for DoD Cybersecurity Policies (CSIAC-DoDIN V1.0)
• Efficacy of ByT5 in Multilingual Translation of Biblical Texts for Underrepresented Languages
• Detecting Hallucinations in Large Language Model Generation: A Token Probability Approach
• Decoding the Obfuscated: Advanced NER Techniques on Commercial Sex Advertisement Data
• Generalization Error Bound for Quantum Machine Learning in NISQ Era - A Survey
• Combatting Human Trafficking in the Cyberspace: A Natural Language Processing-Based Methodology to Analyze the Language in Online Advertisements
• Unsupervised Machine Learning Methods for Diagnosing Autism Spectrum Disorder Using Multimodal Data: A Survey
• Deep Learning Evolved: Overcoming Sub-Optimal Local Minima with (μ/ρ+λ)-Evolution Strategies
• On the Challenges of Creating Datasets for Analyzing Commercial Sex Advertisements to Assess Human Trafficking Risk and Organized Activity
• BERT Goes to SQL School: Improving Automatic Grading of SQL Statements
• Attribution Scores of BERT-Based SQL-Query Automatic Grading for Explainability
• On Adversarial Examples for Text Classification by Perturbing Latent Representations
• Scoping Review on Image-Text Multimodal Machine Learning Models
• Image-Based Leopard Seal Recognition: Approaches and Challenges in Current Automated Systems
• Bottleneck-based Encoder-decoder ARchitecture (BEAR) for Learning Unbiased Consumer-to-Consumer Image Representations
• A Comparative Evaluation of Image Caption Synthesis Using Deep Neural Network
• Learning Robust Observable to Address Noise in Quantum Machine Learning
• Is ReLU Adversarially Robust?
• From Latent to Engine Manifolds: Analyzing ImageBind’s Multimodal Embedding Space
• Evaluating Robustness of Reconstruction Models with Adversarial Networks
• An Automated SQL Query Grading System Using An Attention-Based Convolutional Neural Network
• Non-Invasive Muzzle Matching for Cattle Identification Using Deep Learning
• Mitigating Algorithmic Bias on Facial Expression Recognition
• Working Set Selection to Accelerate SVR Training
• Encrypting ImageNet with chaotic logistic maps and AES in ECB mode
• Accelerating the training of an LP-SVR over large datasets
• A Review of Convolutional Neural Networks and Gabor Filters in Object Recognition
• Application-agnostic chatbot deployment considerations: A case study
• A Proof of Sparseness, Optimality, and Convergence of an LP-SVR
• Empirical study of sentence embeddings for english sentences quality assessment
• How high can you fly? Lcc passenger dissatisfaction
• Optimizing support vector machine analysis in low density biological data sets
• Government AI Readiness Meta-Analysis for Latin America and the Caribbean
• A Review of Machine Learning and Cryptography Applications
• Excitement and concerns about machine learning-based chatbots and talkbots: A survey
• Dynamic-Max-Value ReLU Functions for Adversarially Robust Machine Learning Models
• Generalization error bound for quantum machine learning in NISQ era—a survey
• Data-dependent generalization bounds for parameterized quantum models under noise
• Learning Robust Observable to Address Noise in Quantum Machine Learning
• NLP-Guided Synthesis: Transitioning from Sequential Programs to Distributed Programs
• Image-Based Seal Recognition: Approaches and Challenges in Current Automated Systems
• Explainable AI for SQL Grading: A Practical Approach with Multi-task CNNs
• Detecting Hallucinations in Large Language Model Generation: A Token Probability Approach
• From Latent to Engine Manifolds: Analyzing ImageBind’s Multimodal Embedding Space
• Leveraging OpenFlamingo for Multimodal Embedding Analysis of C2C Car Parts Data