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Universidade Estadual de Campinas (UNICAMP). Instituto de Computação (IC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Sandra Eliza Fontes de Avila in research grants and scholarships supported by FAPESP.
| Articles published in Pesquisa FAPESP Magazine about the researcher: |
| La inteligencia artificial llega a la salud en Brasil |
| Artificial intelligence in healthcare |
| Diagnósticos digitales |
| Digital diagnosis |
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| News published in Agência FAPESP Newsletter about the researcher |
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| Articles published in other media outlets ( ): |
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Child sexual abuse materials (CSAM) have reached alarming proportions in the digital age. According to the National Center for Missing and Exploited Children's CyberTipline, over 32 million reports of suspected CSAM were received in 2022, making it a record year. The availability and sharing of such harmful content online not only exacerbate the trauma inflicted upon the victims but also …
With the growth of video data generated by many devices, such as cameras, smartphones, and CCTVs, allied with the Internet as a fast spreading venue, smart and continuous content filtering becomes paramount. In this context, classification of sensitive media content (e.g., pornography, violence) retains a considerable amount of attention because of its applications: it can be used for det…
In the evolving landscape of deep learning, selecting the best pre-trained models from a growing number of choices is a challenge. While fine-tuning each pre-trained model and comparing their final accuracy can provide precise rankings for a new task, this greedy approach is often prohibitive due to the substantial computing resources required. Transferability estimation literature propos…
Child sexual abuse materials (CSAM) have reached alarming proportions in the digital age. According to the National Center for Missing and Exploited Children's CyberTipline, over 36 million reports of suspected CSAM were received in 2023, making it a record year. The availability and sharing of such harmful content online not only exacerbate the trauma inflicted upon the victims but also …
Multidimensional representation spaces by contrastive training involving images and texts are proposed to approach related concepts between modal signals. Some works expand this concept to audio, speech, or ambient sounds by approaching their description. However, so far, no work in the literature relates concepts of audio, image, and text or creates environments with more than two types …
The Natural Language Processing (NLP) field has undergone significant transformations, primarily marked by Large Language Models (LLMs). However, an inherent limitation of these models is the incapacity of processing data modalities beyond text. To tackle this, in recent years, different Multimodal Large Language Models (MLLMs) have been proposed to extend the LLMs to other modalities fur…
Child sexual abuse materials (CSAM) have reached alarming proportions in the digital age. According to the National Center for Missing and Exploited Children's CyberTipline, over 36 million reports of suspected CSAM were received in 2023, making it a record year. The availability and sharing of such harmful content online not only exacerbate the trauma inflicted upon the victims but also …
(Only some records are available in English at this moment)
Natural Language Processing (NLP) has undergone significant transformations, primarily marked by Large Language Models (LLMs). However, an inherent limitation of these models is the incapacity of processing data modalities beyond text. To tackle this, in recent years, different Multimodal LLMs have been proposed to extend the LLMs to other modalities. Despite the advances, existing litera…
Multidimensional representation spaces for contrastive training involving images and texts are proposed to approximate related concepts between modal signals. Some work extends the same concept to audio, speech, or environmental sounds by approximating their description. However, to date, nowork in the literature relates audio, image, and text concepts or creates environments with more th…
Deep learning achieved amazing success in computer vision, and natural language processing. Spurious correlations (biases) in data are able to poison models, causing lack of generalization to out-of-distribution data, which is an obstacle for the application of deep learning to real-world problems as medical imaging. Despite the existence of robust learning algorithms, their performance h…
| 1 / 1 | Ongoing grants |
| 1 / 1 | Completed research grants |
| 3 / 3 | Ongoing scholarships in Brazil |
| 6 / 6 | Completed scholarships in Brazil |
| 1 / 1 | Ongoing scholarships abroad |
| 2 / 2 | Completed scholarships abroad |
| 14 / 14 | All research grants and scholarships |
| Associated processes | |