tommantonela

frediech_recsys2021

Companion repository for the paper "I Want to Break Free! Recommending Friends from Outside the Echo Chamber" accepted at RecSys 2021

golden-map

A Folium and Streamlit Golden Retriever sightings map.

recsys2022-spreader-recommendation

Companion repository of the paper "Do recommender systems make social media more susceptible to misinformation spreaders?" accepted at RecSys 2022.

sistemasRecomendacion2019

ecsa-2019

Reproducibility kit for the paper "A Sensitivity Analysis for an Architectural DebtIndex based on Architectural Smells" submitted to ECSA 2019

graphoW

graphoW is a Python package for the creation of a Graph-of-Words (GoW) representation of texts.

umap2022-fake-news-spreaders

Companion repository for the paper "Following the trail of fake news spreaders in social media: A deep learning model", published in UMAP.

urban_datasets

Urban data datasets

Sen4Smells

Tool for Prioritizing Architecture-Sensitive Smells based on a Technical Debt Index

SMArtOp

SMArtOp -- Sparse Matrix library for ARiThmetic Operations

SocialCovidArgentina

aidt_rag

Repository for "The JavaScript Package Selection Task: A Comparative Experiment Using an LLM-based Approach"

archmind

ASPredictor

Tool for architectural smell prediction

book-helloworld

icsa-2018

Repository corresponding to the ICSA paper "Can Network Analysis Techniques help to Predict Design Dependencies? An Initial Study". Available at https://arxiv.org/abs/1808.02776

intro-to-python

En este repositorio hay notebooks que fui preparando como soporte de Python para diversos cursos en la Facultad de Ciencias Exactas, UNICEN.

recommendation-fairness

Repository for "Recommendation fairness and where to find it: An empirical study on fairness of user recommender systems"

scam-2018

Repository corresponding to the SCAM paper "Towards Anticipation of Architectural Smells using Link Prediction Techniques". Available at https://arxiv.org/abs/1808.06362

tommantonela

My personal repository

tommantonela.github.io

umap2022-mrecuri

Companion repository for the paper "Haven’t I just listened to this?: Exploring diversity in music recommendations", published in UMAP 2022