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Hi there, I'm Luca ๐Ÿ™‚๐Ÿ‘‹

Current Activity

๐ŸŽ“ I'm a PhD in Data Science and Computation @ UNIBO

๐Ÿ“ Projects I've worked on include:

  • transition from human-based to AI-assisted detection and counting of neuronal cells in fluorescent microscopy images ๐Ÿ”ฌ ๐Ÿ“ธ
  • supporting the management of large computing infrastructures with NLP tools for topic modelling ๐Ÿ’พ ๐Ÿ’ก
  • predicting COVID-19 hospitalizations for supporting hospital bed scheduling during phase II of the pandemic ๐Ÿ›Œ ๐Ÿฅ
  • designing machine learning algorithms for quantum computing :atom: ๐Ÿ–ฅ๏ธ

Previous work

๐Ÿ’ผ Data Scientist Junior @ Alten

  • data management and analysis for the Customer Operation division of a TELCO ๐Ÿ“Š ๐Ÿ“‰
  • Predictive Maintenance for autovehicles ๐Ÿ”ง โš™๏ธ

Interests

๐Ÿค” Things I'm curious about:

  • Self-Supervised Learning
  • Reinforcement Learning
  • Continual Learning

Contacts

๐Ÿ“ซ How to reach me: [email protected]

โ„น๏ธ More info:

Luca Clissa's LinkedIn Profile Luca Clissa's Google Scholar Profile Luca Clissa's Medium Profile


Profile Statistics

GitHub followers


Luca Clissa's Projects

bigdata2021 icon bigdata2021

Summary of Big Data production orders of magnitude for the main big data players

cellvit icon cellvit

CellViT: Vision Transformers for Precise Cell Segmentation and Classification

countception icon countception

Count-Ception: Counting by Fully Convolutional Redundant Counting

covid-molise icon covid-molise

Data Analysis and dashboard of Covid19 data about Molise

deep-spectral-segmentation-fluocells icon deep-spectral-segmentation-fluocells

Deep Spectral Methods [CVPR 2022] as a baseline for Unsupervised Semantic Segmentation and Localization of neuronal cells in fluorescence microscopy images

easy21 icon easy21

Code for the assignment of the UCL course on Reinforcement Learning by David Silver

fluocells-bvpai icon fluocells-bvpai

Repository paper accepted by ICIAP 2023 workshop Beyond Vision: Physics meets AI (BVPAI)

ml-assisted-labeling icon ml-assisted-labeling

Use pre-trained models to create binary segmentation masks and retrieve polygon annotation in VGG VIA compatible csv format

pointnet_segmentation icon pointnet_segmentation

Scripts for training pointnet for segmentation. Used for separating showers in calorimetry as point clouds.

probai-2019 icon probai-2019

Materials of the Nordic Probabilistic AI School 2019.

segment-anything icon segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

transfer_errors icon transfer_errors

ATLAS Qualification Task: log messages clustering of Rucio data transfers

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