Teaching

I am currently covering the role of teaching assistant for the following courses:

"Languages and Algorithms for Artificial Intelligence", prof. Paolo Torroni.

"Natural Language Processing", prof. Maurizio Gabbrielli.

"Fundamentals of Artificial Intelligence and Knowledge Representation", prof. Mauro Gaspari.

 

In the past, I have covered the role of teaching assistant for the following courses:

"Real Time OS M - Real Time Systems for Automation M", Prof. Paolo Torroni, material on the website: https://iol.unibo.it/course/view.php?id=40331

"Fondamenti di Informatica T1", Prof. Paola Mello e Federico Chesani, material on the website: https://iol.unibo.it/course/view.php?id=41087

 

Lectures Material

Natural Language Processing and Learning (Bologna, 12/04/2019, as part of the Intelligent Systems M course of Prof. Michela Milano)

 

Thesis and project activities topics

I also supervise bachelor thesis, master thesis and project activities.

Possible topics are listed here, others may be available in the AI course website, others in the NLP research group website.

Topics:

  • Neural networks applied to games: application of neural networks and deep networks for the solution of board games and (small/simple) video games.
  • Solving/find the complexity of a board game: make use of AI technique to compute the complexity of a board game or to solve it (to a certain degree)
  • Natural Language Processing: projects and thesis on argumentation mining (finding the discussion inside a text), sentiment analysis (finding the "sentiment" in a text), fake news identification (from text), cyberbullying identification (from text)
  • Deep networks for CSPs: application and analysis of deep networks for the solution of constrained problems.

Specific projects:

  • Creation of a Keyforge AI player: design and implement an AI to play the game Keyforge card game. A possible implementation of the game can be found here: https://github.com/keyteki/keyteki.
  • Creation of predictor for Keyforge match outcome: create an AI module capable of predicting the outcome of a Keyforge game. An existing dataset of games can be used for evaluation (and for training in case of machine learning approaches).
  • Creation of a Keyforge deck evaluation: create a machine-learning based system capable of automatically score a deck of Keyforge according to popular metrics (for example, SAS and AERC, but other suggestions are welcomed)
  • Creation of an AI for the game Baba is You: application of AI techniques to solve the levels of the puzzle-game "Baba is you". Resources: game website, jam version, a paper on the game.
  • Creation of an AI for the game Simplexity: application of AI techniques to play the game Simplexity. Resources: game information, international competition @ CoG.

 

Past activities

Some of the activities I have supervised are the following:

  • Ilaria Crivellari and Riccardo Varotto, project activity, "Neural Networks applied to Hanabi", 2022. Code repository.
  • Sofia Montebugnoli and Simone Amorati, project activity, "Artificial Intelligence for the Wordle game and its variants", 2022. Code repository.
  • Gabriele Marconi, project activity, "Machine learning based Keyforge Deck Evaluation", 2021. Code repository.
  • Emanuel Scaglione, project activity, "Summarization con Transformers", 2021. Code repository.
  • Oleksandr Olmucci Poddubnyy, project activity, "Document subjectivity classification on Italian news articles dataset", 2021. Code repository.
  • Luca Salvatore Lorello, master thesis, "Small Transformers for Bioinformatics Tasks", 2021.
  • Francesco Antici, master thesis, "Advanced techniques for cross-language annotation projection
    in legal texts    ", 2021.
  • Francesco Antici, Luca Bolognini, Matteo Antonio Inajetovic, Bogdan Ivasiuk, Francesco Antici, extended exam project, "SubjectivITA: An Italian Corpus for Subjectivity Detection in Newspapers", 2021. Dataset repository.
  • Thomas Villano, project activity, "An AI for playing Keyforge", 2021. Code repository. 
  • Pierpasquale Colagrande, project activity, "Experiments for Cross-lingual Annotation Projection in Legal Texts", 2021.
  • Luca Palmieri, project activity, "Sviluppo di una Rete Neurale per il gioco Forza 4 e confronto con l’algoritmo
    Minmax", 2021. Code repository. Dataset.
  • Federico Dal Monte, project activity, "Lesion Detection", 2021. Code repository.
  • Mihail Bida, Francesco Pandol, project activity, "Framework per giocare ad Hanabi e implementazione di diverse strategie di gioco", 2020. Code repository.
  • Andrea Conti, project activity, "Deep Q-Learning applicato a Super Mario Bros", 2019. Code repository.
  • Francesco Giovanelli, master thesis, "Model Agnostic solution of CSPs with Deep Learning", 2019. Code repository.
  • Giacomo Pinardi, bachelor thesis, "Apprendimento supervisionato di un gioco da tavolo asimmetrico tramite reti neurali: un caso di studio su Tablut", 2019
  • Alessio Leurini, bachelor thesis, "Cross-Domain Sentiment Analysis", 2019
  • Alessandro Ravaglia, bachelor thesis, "Studio delle tecniche di reinforcement learning e delle loro applicazioni ai giochi da tavolo", 2019
  • Guardati Simone, project activity, "Applicazione di tecniche di Machine Learning al gioco Mastermind", 2019
  • Andrea Piretti, bachelor thesis, "Sviluppo di un'architettura software distribuita con supporto a giocatori artificiali: il caso di studio del gioco da tavolo Tablut", 2018
  • Nicola Alessi, project activity, 2018
  • Grilli Matteo, bachelor thesis, "Reti neurali profonde applicate a giochi di carte digitali: un caso di studio su Hearthstone semplificato", 2017