334 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Pontifícia Universidade Católica de São PauloBR10 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di GenovaIT8 papers
- Universidade Federal do Rio Grande do SulBR7 papers
- Universidade SalvadorBR6 papers
- University of OuluFI5 papers
- Blekinge Institute of TechnologySE4 papers
- Hanyang UniversityKR4 papers
- Jožef Stefan InstituteSI4 papers
- Max Planck Institute for Extraterrestrial PhysicsDE4 papers
- Technical University of MunichDE4 papers
- Universidade Federal da BahiaBR4 papers
- Universität InnsbruckAT4 papers
81 papers
The Role of LLMs in Collaborative Software Design
Victoria Jackson, Yoonha Cha, Rafael Prikladnicki +1
While much prior work examines Large Language Models (LLMs) for solo development tasks (e.g., coding), far less is known about how LLMs shape collaborative group work in software e…
Energy Efficiency in Network Slicing: Survey and Taxonomy
Adnei Willian Donatti, Marcia Cristina Machado, Marvin Alexander Lopez Martinez +7
Network Slicing (NS) is a fundamental feature of 5G, 6G, and future mobile networks, enabling logically isolated virtual networks over shared infrastructure. As data demand increas…
Assessing the Impact of Post-Quantum Digital Signature Algorithms on Blockchains
Alison Gonçalves Schemitt, Henrique Fan da Silva, Roben Castagna Lunardi +3
The advent of quantum computing threatens the security of traditional encryption algorithms, motivating the development of post-quantum cryptography (PQC). In 2024, the National In…
The Dilemma of Building Do-It-Yourself (DIY) Solutions for Workplace Accessibility
Yoonha Cha, Victoria Jackson, Karina Kohl +3
Existing commercial and in-house software development tools are often inaccessible to Blind and Low Vision Software Professionals (BLVSPs), hindering their participation and career…
Explainable Adversarial Attacks on Coarse-to-Fine Classifiers
Akram Heidarizadeh, Connor Hatfield, Lorenzo Lazzarotto +2
Traditional adversarial attacks typically aim to alter the predicted labels of input images by generating perturbations that are imperceptible to the human eye. However, these appr…
A Methodology for Explainable Large Language Models with Integrated Gradients and Linguistic Analysis in Text Classification
Marina Ribeiro, Bárbara Malcorra, Natália B. Mota +4
Neurological disorders that affect speech production, such as Alzheimer's Disease (AD), significantly impact the lives of both patients and caregivers, whether through social, psyc…
Micro and macro facial expressions by driven animations in realistic Virtual Humans
Rubens Halbig Montanha, Giovana Nascimento Raupp, Ana Carolina Policarpo Schmitt +2
Computer Graphics (CG) advancements have allowed the creation of more realistic Virtual Humans (VH) through modern techniques for animating the VH body and face, thereby affecting…
Evaluating and Comparing Crowd Simulations: Perspectives from a Crowd Authoring Tool
Gabriel Fonseca Silva, Paulo Ricardo Knob, Rubens Halbig Montanha +1
Crowd simulation is a research area widely used in diverse fields, including gaming and security, assessing virtual agent movements through metrics like time to reach their goals,…
Crossing the principle-practice gap in AI ethics with ethical problem-solving
Nicholas Kluge Corrêa, James William Santos, Camila Galvão +5
The past years have presented a surge in (AI) development, fueled by breakthroughs in deep learning, increased computational power, and substantial investments in the field. Given…
Making Software Development More Diverse and Inclusive: Key Themes, Challenges, and Future Directions
Sonja M. Hyrynsalmi, Sebastian Baltes, Chris Brown +7
Introduction: Digital products increasingly reshape industries, influencing human behavior and decision-making. However, the software development teams developing these systems oft…
Use of Agile Practices in Start-ups
Eriks Klotins, Michael Unterkalmsteiner, Panagiota Chatzipetrou +4
Context Software start-ups have shown their ability to develop and launch innovative software products and services. Small, motivated teams and uncertain project scope makes start-…
TeenyTinyLlama: open-source tiny language models trained in Brazilian Portuguese
Nicholas Kluge Corrêa, Sophia Falk, Shiza Fatimah +2
Large language models (LLMs) have significantly advanced natural language processing, but their progress has yet to be equal across languages. While most LLMs are trained in high-r…
A Progression Model of Software Engineering Goals, Challenges, and Practices in Start-Ups
Eriks Klotins, Michael Unterkalmsteiner, Panagiota Chatzipetrou +4
Context: Software start-ups are emerging as suppliers of innovation and software-intensive products. However, traditional software engineering practices are not evaluated in the co…
Revisiting Micro and Macro Expressions in Computer Graphics Characters
Rubens Montanha, Giovana Raupp, Vitoria Gonzalez +5
This paper presents the reproduction of two studies focused on the perception of micro and macro expressions of Virtual Humans (VHs) generated by Computer Graphics (CG), first desc…
Crafting Realistic Virtual Humans: Unveiling Perspectives on Human Perception, Crowds, and Embodied Conversational Agents
Rubens Montanha, Victor Araujo, Paulo Knob +4
Virtual Humans (VHs) were first developed more than 50 years ago and have undergone significant advancements since then. In the past, creating and animating VHs was a complex task.…
Can we truly transfer an actor's genuine happiness to avatars? An investigation into virtual, real, posed and spontaneous faces
Vitor Miguel Xavier Peres, Greice Pinho Dal Molin, Soraia Raupp Musse
A look is worth a thousand words is a popular phrase. And why is a simple look enough to portray our feelings about something or someone? Behind this question are the theoretical f…
Exploration of technical debt in start-ups
Eriks Klotins, Michael Unterkalmsteiner, Panagiota Chatzipetrou +4
Context: Software start-ups are young companies aiming to build and market software-intensive products fast with little resources. Aiming to accelerate time-to-market, start-ups of…
Enhancing Network Slicing Architectures with Machine Learning, Security, Sustainability and Experimental Networks Integration
Joberto S. B. Martins, Tereza C. Carvalho, Rodrigo Moreira +19
Network Slicing (NS) is an essential technique extensively used in 5G networks computing strategies, mobile edge computing, mobile cloud computing, and verticals like the Internet…
Co-designing for a Hybrid Workplace Experience in Software Development
Zhendong Wang, Yi-Hung Chou, Kayla Fathi +4
With increasing demands for flexible work models, many IT organizations have adapted to hybrid work that promises enhanced team productivity as well as work satisfaction. To achiev…
Counterfactual Analysis by Algorithmic Complexity: A metric between possible worlds
Nicholas Kluge Corrêa, Nythamar Fernandes De Oliveira
Counterfactuals have become an important area of interdisciplinary interest, especially in logic, philosophy of language, epistemology, metaphysics, psychology, decision theory, an…
Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey
Otávio Parraga, Martin D. More, Christian M. Oliveira +6
Despite being responsible for state-of-the-art results in several computer vision and natural language processing tasks, neural networks have faced harsh criticism due to some of t…
Moving Virtual Agents Forward in Space and Time
Gabriel F. Silva, Paulo Knob, Carlos G. Johansson +2
This article proposes an adaptation from the model of Bianco for fast-forwarding agents in crowd simulation, which enables us to accurately fast forward agents in time. Besides bei…
LODUS: A Multi-Level Framework for Simulating Environment and Population -- A Contagion Experiment on a Pandemic World
Gabriel Fonseca Silva, Vinícius Cassol, Amyr Borges Fortes Neto +4
Nowadays we are experiencing a way of life that never existed before. The pandemic has sharply changed our habits, customs, and behavior. In addition, a lot of work was suddenly re…
Perception of Personality Traits in Crowds of Virtual Humans
Lucas Nardino, Enzo Krzmienszki, Vinícius Jurinic Cassol +6
This paper proposes a perceptual visual analysis regarding the personality of virtual humans. Many studies have presented findings regarding the way human beings perceive virtual h…