Biography

I am Antonela Tommasel. I am currently a Researcher at CONICET , working in the Recommender Systems group at ISISTAN Research Institute in Tandil, Argentina. I am also a Teacher Assistant at UNICEN .

My main research interests include social computing applications of machine learning and recommender systems.

6+ years of research experience. 8+ years of teaching experience.

Interests

  • Social Computing
  • Recommender Systems
  • Social Media
  • Fake News

Education

  • PhD in Computer Sciences, 2017

    Universidad Nacional del Centro de la Provincia de Buenos Aires

  • Bachelor in Software Engineering, 2012

    Universidad Nacional del Centro de la Provincia de Buenos Aires

Recent Publications

Influence and performance of user similarity metrics in followee prediction

The study shows how the choice of the different factors and assessment alternatives affects followee recommendation. It also verifies …

Tracking the evolution of crisis processes and mental health on social mediaduring the COVID-19 pandemic

We present a thematic analysis on the differences in language used in social media posts, and look at indicators that reveal the …

Workshop on Online Misinformation- and Harm-Aware Recommender Systems

The Workshop on Online Misinformation- and Harm-Aware Recommender Systems (OHARS 2020) aimed at fostering research in recommender …

Projects

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Hate Speech Bias

Hate speech is in the eye of the beholder Exploring bias on hate perception

Digital Citizens

The Role of Social Media in e-Participation in Argentina

Faking It!

Faking It! A fake news multi-sourced dataset powered by Social Media

OHARS

Online Harm-Aware Recommender System

Software Projects

Faking It!

This Java tool aims at facilitating the creation of datasets from social media including not only the shared content, but also the …

ASPredictor

Tool for predicting Dependency-based Architectural Smells

Sen4Smells

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

SMArtOp

Sparse Matrix library for ARiThmetic Operations

Datasets

SpanishTweetsCOVID-19

SpanishTweetsCOVID-19 A Social Media Enriched Covid-19 Twitter Spanish Dataset

Experience

 
 
 
 
 

Assistant Researcher

CONICET

Nov 2019 – Present Tandil, Argentina

Topic: “Recommendation of Trustworthy Users in Social Media based on Heterogeneous Information”

Responsibilities include:

  • Analysing
  • Modelling
  • Research
 
 
 
 
 

Postdoc Fellow

CONICET

Apr 2018 – Oct 2019 Tandil, Argentina

Topic: “Integrating Heterogeneous Information for User Recommendation in Social Media Networks”

Responsibilities include:

  • Research
 
 
 
 
 

Doctoral Fellow

CONICET

Apr 2013 – Mar 2018 Tandil, Argentina
Topic: “A Social-aware Online Short-text Feature Selection Technique for Social Media”
 
 
 
 
 

Teacher Assistant

UNICEN

Apr 2010 – Present Tandil, Argentina

Teacher Assitant in diverse courses:

  • Web Mining
  • Advanced Java Programming Workshop
  • Recommender Systems
  • Computer Architecture
  • Analysis and Design of Algorithms
  • Software Development Methodologies
  • Introduction to Computer Sciences
  • Introduction to Compilers Design
  • Relational and First-grade Logic
  • Object Oriented Programming

Responsibilities include:

  • Teaching
  • Grading
  • Assisting Students

Accomplish­ments

Understanding and Visualizing Data with Python

Part of the Statistics with Python Specialization

In this course, learners will be introduced to the field of statistics, including where data come from, study design, data management, and exploring and visualizing data. Learners will identify different types of data, and learn how to visualize, analyze, and interpret summaries for both univariate and multivariate data. Learners will also be introduced to the differences between probability and non-probability sampling from larger populations, the idea of how sample estimates vary, and how inferences can be made about larger populations based on probability sampling.

See certificate

Building Conversational Experiences with Dialogflow

This course provides a deep dive into how to create a chatbot using Dialogflow, augment it with Cloud Natural Language API, and operationalize it using Google Cloud tools.
See certificate

COVID-19 Contact Tracing

In this introductory course, students will learn about the science of SARS-CoV-2 , including the infectious period, the clinical presentation of COVID-19, and the evidence for how SARS-CoV-2 is transmitted from person-to-person and why contact tracing can be such an effective public health intervention. Students will learn about how contact tracing is done, including how to build rapport with cases, identify their contacts, and support both cases and their contacts to stop transmission in their communities. The course will also cover several important ethical considerations around contact tracing, isolation, and quarantine. Finally, the course will identify some of the most common barriers to contact tracing efforts – along with strategies to overcome them.
See certificate

Kotlin for Java Developers

This course aims to share with you the power and the beauty of Kotlin. We'll have a basic overview of the language, as well as a discussion of many corner cases, especially concerning Java interoperability. The course is based on your Java experience; it shows the similarities between the two languages and focuses on what's going to be different.
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Getting Started with AWS Machine Learning

This course will teach you how to get started with AWS Machine Learning. Key topics include: Machine Learning on AWS, Computer Vision on AWS, and Natural Language Processing (NLP) on AWS.
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Deep Learning Specialization

Five Course Deep Learning Specialization. Master Deep Learning, and Break into AI

  • Sequence Models
  • Convolutional Neural Networks
  • Structuring Machine Learning Projects
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
  • Neural Networks and Deep Learning
See certificate

Python for Everybody

Learn to Program and Analyze Data with Python. Develop programs to gather, clean, analyze, and visualize data. Five courses:

  • Programming for Everybody (Getting Started with Python)
  • Python Data Structures
  • Using Python to Access Web Data
  • Using Databases with Python
  • Capstone: Retrieving, Processing, and Visualizing Data with Python
See certificate

Applied AI with DeepLearning

This course is part of the Advanced Data Science with IBM Specialization.
See certificate

Mining Massive Datasets

Machine Learning

Recent Posts

Welcome to my website!

Welcome to my website

Recent & Upcoming Talks

From Smart Cities to Social Cities: Smart Cities at the Service of Social Good

Artificial Intelligence at the service of Smart Cities

Surviving to social media in the misinformation era

Misinformation in Social Media & Recommender Systems

Keeping one-step ahead of Architectural Smells: A Machine Learning application

Architectural Smells & Machine Learning mash-up

Friends or Foe: Recommending friends in the misinformation era

Misinformation in Social Media & Recommender Systems

Keeping one-step ahead of Architectural Smells: A Machine Learning application

Architectural Smells & Machine Learning mash-up

Teaching

Natural Language Processing

Role: Lecturer & Responsible of Practial Sessions

Mandatory course of an Artificial Intelligence Specialization

Recommender Systems

Role: Responsible of Practial Sessions

Elective course for Bachelor Software Engineering in and PhD in Computer Sciences

Web Mining

Role: Responsible of Practial Sessions

Elective course for Bachelor Software Engineering in and PhD in Computer Sciences

Introduction to Compilers Design

Role: Teaching Assistant

Mandatory fourth year course of Bachelor in Software Engineering

Advanced Java Programming Workshop

Role: Lecturer & Responsible of Practial Sessions

Elective course for Bachelor Software Engineering in and PhD in Computer Sciences

Object Oriented Programming

Role: Teaching Assistant

Mandatory first year course of Programmer Analyst

Introduction to Computer Sciences

Role: Teaching Assistant

Mandatory first year course of Bachelor in Software Engineering

Software Development Methodologies

Role: Teaching Assistant

Mandatory third year course of Bachelor in Software Engineering

Analysis and Design of Algorithms

Role: Teaching Assistant

Mandatory second year course of Bachelor in Software Engineering

Computer Architecture

Role: Teaching Assistant

Mandatory third year course of Bachelor in Software Engineering

Relational and First-grade Logic

Role: Teaching Assistant

Mandatory first year course of Bachelor in Software Engineering

Contact