Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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7 results for Massimiliano Mattetti

Building Trust in Interactive Machine Learning via User Contributed Interpretable Rules
- - Lijie Guo
  - Elizabeth M. Daly
  - et al.
- 2022
- IUI 2022
What Changed? Interpretable Model Comparison
- - Rahul Nair
  - Massimiliano Mattetti
  - et al.
- 2021
- IJCAI 2021
Counting Vertex-Disjoint Shortest Paths in Graphs
- - Adi Botea
  - Massimiliano Mattetti
  - et al.
- 2021
- SoCS 2021
IRF: A Framework for Enabling Users to Interact with Recommenders through Dialogue
- - Öznur Alkan
  - Massimiliano Mattetti
  - et al.
- 2020
- CSCW 2020
Making Business Partner Recommendation More Effective: Impacts of Combining Recommenders and Explanations through User Feedback
- - Öznur Alkan
  - Massimiliano Mattetti
  - et al.
- 2021
- ACMIUI-WS 2021
IRF: Interactive recommendation through dialogue
- - Öznur Alkan
  - Massimiliano Mattetti
  - et al.
- 2019
- RecSys 2019
Why or Why Not? The Effect of Justification Styles on Chatbot Recommendations
- - Daricia Wilkinson
  - Öznur Alkan
  - et al.
- 2021
- ACM TOIS