Iván Garibay
YOU?
Author Swipe
View article: Explainable Detection of Implicit Influential Patterns in Conversations via Data Augmentation
Explainable Detection of Implicit Influential Patterns in Conversations via Data Augmentation Open
In the era of digitalization, as individuals increasingly rely on digital platforms for communication and news consumption, various actors employ linguistic strategies to influence public perception. While models have become proficient at …
View article: Predicting Through Generation: Why Generation Is Better for Prediction
Predicting Through Generation: Why Generation Is Better for Prediction Open
This paper argues that generating output tokens is more effective than using pooled representations for prediction tasks because token-level generation retains more mutual information. Since LLMs are trained on massive text corpora using n…
View article: User Profile with Large Language Models: Construction, Updating, and Benchmarking
User Profile with Large Language Models: Construction, Updating, and Benchmarking Open
User profile modeling plays a key role in personalized systems, as it requires building accurate profiles and updating them with new information. In this paper, we present two high-quality open-source user profile datasets: one for profile…
View article: Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium
Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium Open
The persistent challenge of bias in machine learning models necessitates robust solutions to ensure parity and equal treatment across diverse groups, particularly in classification tasks. Current methods for mitigating bias often result in…
View article: Analyzing X's Web of Influence: Dissecting News Sharing Dynamics through Credibility and Popularity with Transfer Entropy and Multiplex Network Measures
Analyzing X's Web of Influence: Dissecting News Sharing Dynamics through Credibility and Popularity with Transfer Entropy and Multiplex Network Measures Open
The dissemination of news articles on social media platforms significantly impacts the public's perception of global issues, with the nature of these articles varying in credibility and popularity. The challenge of measuring this influence…
View article: Agent-Based Modeling of C. Difficile Spread in Hospitals: Assessing Contribution of High-Touch vs. Low-Touch Surfaces and Inoculations' Containment Impact
Agent-Based Modeling of C. Difficile Spread in Hospitals: Assessing Contribution of High-Touch vs. Low-Touch Surfaces and Inoculations' Containment Impact Open
Health issues and pandemics remain paramount concerns in the contemporary era. Clostridioides Difficile Infection (CDI) stands out as a critical healthcare-associated infection with global implications. Effectively understanding the mechan…
View article: Controlling the Misinformation Diffusion in Social Media by the Effect of Different Classes of Agents
Controlling the Misinformation Diffusion in Social Media by the Effect of Different Classes of Agents Open
The rapid and widespread dissemination of misinformation through social networks is a growing concern in today's digital age. This study focused on modeling fake news diffusion, discovering the spreading dynamics, and designing control str…
View article: Comparing Social Media Communities using Functional Data Analysis
Comparing Social Media Communities using Functional Data Analysis Open
Various social media communities can lead conversations in entirely divergent directions, shaping the nature of information shared on these platforms. Deliberate disinformation and manipulated messages, disseminated both within and beyond …
View article: A survey on sign language literature
A survey on sign language literature Open
Individuals with hearing impairment encounter various types and levels of difficulties, highlighting the need for more research to provide effective support. One significant difficulty is communication and interaction with others. Given th…
View article: A GENERALIZATION OF THRESHOLD-BASED AND PROBABILITY-BASED MODELS OF INFORMATION DIFFUSION
A GENERALIZATION OF THRESHOLD-BASED AND PROBABILITY-BASED MODELS OF INFORMATION DIFFUSION Open
Diffusion of information through complex networks is of interest in studies such as propagation prediction and influence maximization, both of which have applications in viral marketing and rumor controlling. There are a variety of informa…
View article: Six Human-Centered Artificial Intelligence Grand Challenges
Six Human-Centered Artificial Intelligence Grand Challenges Open
Widespread adoption of artificial intelligence (AI) technologies is substantially affecting the human condition in ways that are not yet well understood. Negative unintended consequences abound including the perpetuation and exacerbation o…
View article: Generating Mixed Patterns of Residential Segregation: An Evolutionary Approach
Generating Mixed Patterns of Residential Segregation: An Evolutionary Approach Open
The Schelling model of residential segregation has demonstrated that even the slightest preference for neighbors of the same race can be amplified into community-wide segregation. However, these models are unable to simulate mixed, coexist…
View article: Introduction to the Minitrack on Immersive Technologies in Business
Introduction to the Minitrack on Immersive Technologies in Business Open
Immersive technologies integrate virtual content with the physical environment and create an immersive experience for users.Typical examples of immersive technologies include augmented reality (AR), virtual reality (VR), and mixed reality …
View article: Network Structure Can Amplify Innovation Adoption and Polarization in Group-Structured Populations with Outgroup Aversion
Network Structure Can Amplify Innovation Adoption and Polarization in Group-Structured Populations with Outgroup Aversion Open
Individuals' decisions to adopt an innovation can be influenced by the frequency of other adopters as well as by the group membership of previous adopters or non-adopters in their social network.In addition, adoption or non-adoption of som…
View article: Dominant Set-based Active Learning for Text Classification and its Application to Online Social Media
Dominant Set-based Active Learning for Text Classification and its Application to Online Social Media Open
Recent advances in natural language processing (NLP) in online social media are evidently owed to large-scale datasets. However, labeling, storing, and processing a large number of textual data points, e.g., tweets, has remained challengin…
View article: Resilience from Diversity: Population-based approach to harden models against adversarial attacks
Resilience from Diversity: Population-based approach to harden models against adversarial attacks Open
Traditional deep learning networks (DNN) exhibit intriguing vulnerabilities that allow an attacker to force them to fail at their task. Notorious attacks such as the Fast Gradient Sign Method (FGSM) and the more powerful Projected Gradient…
View article: Evolution Scenarios and Mitigation Strategies for COVID-19 in Peru, from the Complexity Approach and Agent-Based Modeling
Evolution Scenarios and Mitigation Strategies for COVID-19 in Peru, from the Complexity Approach and Agent-Based Modeling Open
The COVID-19 pandemic in Peru began during March 2020, generating a multidimensional crisis that has claimed 198,621 lives as of 8 September 2021. This study presents the simulation of multiple agents showing the emerging dynamics of the i…
View article: Audit and Assurance of AI Algorithms: A framework to ensure ethical\n algorithmic practices in Artificial Intelligence
Audit and Assurance of AI Algorithms: A framework to ensure ethical\n algorithmic practices in Artificial Intelligence Open
Algorithms are becoming more widely used in business, and businesses are\nbecoming increasingly concerned that their algorithms will cause significant\nreputational or financial damage. We should emphasize that any of these damages\nstem f…
View article: Audit and Assurance of AI Algorithms: A framework to ensure ethical algorithmic practices in Artificial Intelligence
Audit and Assurance of AI Algorithms: A framework to ensure ethical algorithmic practices in Artificial Intelligence Open
Algorithms are becoming more widely used in business, and businesses are becoming increasingly concerned that their algorithms will cause significant reputational or financial damage. We should emphasize that any of these damages stem from…
View article: Controversial information spreads faster and further than non-controversial information in Reddit
Controversial information spreads faster and further than non-controversial information in Reddit Open
Online users discuss and converse about all sorts of topics on social networks. Facebook, Twitter, Reddit are among many other networks where users can have this freedom of information sharing. The abundance of information shared over thes…
View article: Exploring the disparity of influence between users in the discussion of Brexit on Twitter
Exploring the disparity of influence between users in the discussion of Brexit on Twitter Open
The topic of political polarization has received increased attention for valid reasons. Given that an increased amount of the social exchange for opinions happens online, social media platforms provide a good source of information to inves…
View article: Influence Cascades: Entropy-Based Characterization of Behavioral Influence Patterns in Social Media
Influence Cascades: Entropy-Based Characterization of Behavioral Influence Patterns in Social Media Open
Influence cascades are typically analyzed using a single metric approach, i.e., all influence is measured using one number. However, social influence is not monolithic; different users exercise different influences in different ways, and i…
View article: Interpretable Multi-Head Self-Attention Architecture for Sarcasm Detection in Social Media
Interpretable Multi-Head Self-Attention Architecture for Sarcasm Detection in Social Media Open
Sarcasm is a linguistic expression often used to communicate the opposite of what is said, usually something that is very unpleasant with an intention to insult or ridicule. Inherent ambiguity in sarcastic expressions, make sarcasm detecti…
View article: Inferring mechanisms of response prioritization on social media under information overload
Inferring mechanisms of response prioritization on social media under information overload Open
Human decision-making is subject to the biological limits of cognition. The fluidity of information propagation over online social media often leads users to experience information overload. This in turn affects which information received …