Duccio Meconcelli

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FIG. 01

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About Me

I am a PhD student in Smart Computing and Artificial Intelligence at the University of Florence, working in collaboration with the University of Siena. My current research focus is fake and synthetic-content detection, especially for images: I study which representations preserve useful traces of the generation process and how those traces behave across models, datasets, and common image transformations.

Fake DetectionDeep LearningGraph Neural Networks+1

Research & Selected Projects

2021 — 2026

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CaffeSaver

An animated terminal screensaver collection and generative ASCII/ANSI art engine featuring native C visualizers (60 FPS), transparent JIT compilation, pure Bash fallback, and macOS anti-sleep protection.

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Stable Diffusion 3.5 Feature Extractor

A package for extracting hidden states and attention maps from Stable Diffusion 3.5 MM-DiT models for AI-image detection, attribution, and interpretability experiments.

PythonPyTorchStable Diffusion 3.5+2

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InfiniteDante

An experimental decoder-only Transformer for Dante-style text generation, exported for browser use through ONNX Runtime Web.

TransformerPyTorchONNX Runtime Web+1

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Telewrapperz

A Python command wrapper that updates a Telegram dashboard with recent output, resource information, and controls for a running command.

PythonPyPITelegram Bot API+3

CODE

IEEE MetroGREENST 2025

2025

DITHER::STREAM

QUANTIZING

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Chemical-Aware Autoencoders for Eco-Selective Adsorption of Wastewater Contaminants

A conditional autoencoder for exploring chemical representations relevant to the early-stage screening of pharmaceutical contaminants for adsorption by phenyl-functionalized poly(2-oxazoline).

Deep LearningAutoencodersCheminformatics+1

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GitHub Trending RSS Generator

A Python reimplementation of mshibanami/GitHubTrendingRSS that generates Atom feeds for GitHub Trending views and a simple static HTML index.

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Gaussian-Mixture Neural Networks

A study of density estimation from unlabeled samples, combining estimates from maximum-likelihood Gaussian mixture models with the generalization of an artificial neural network.

PyTorchGaussian Mixture ModelsDensity Estimation+1

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Twisted Thought GAN

A Python and PyTorch GAN course project that generates images inspired by Lissajous curves and harmonographs from a synthetic dataset.

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Deep Learning Approaches for Mice Glomeruli Segmentation

An ESANN 2022 comparison of DeepLab V2 and MobileNet approaches for segmenting glomeruli in histological whole-slide images from mouse and rat tissue.

Computer VisionSemantic SegmentationDeepLab V2+2

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Feedygram

A Python Telegram bot, substantially rewritten from RobotRSS, for saving RSS URLs, fetching feeds, and sharing converted links through Telegram.

PythonTelegram Bot APITelegraph API+3

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FCK GBRL AI

A collaboration with Gabriel Volpi that turns visual material related to biomedical segmentation and network artifacts into a small generative-art gallery.

Generative ArtComputer VisionDigital Images

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FIG. 13

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