Cecilia Salvatore
@cecielle95
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Joined October 2020
PAZZESCO A PARIGI Doppietta CLA-MO-RO-SA alla trave!!! 😯 Alice D’Amato oro e Manila Esposito bronzo! Sono le prime medaglie olimpiche nella specialità di sempre per la ginnastica artistica femminile azzurra!!! 🤩 MA CHE AVETE FATTOOOOOOOOOOOOOO??????? 💙 #ItaliaTeam
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Thanks you so much for being such an amazing tutor ❤️❤️
good luck for the future @cecielle95, it was great to see you grow in an excellent PhD doctor ❤️ (with laude)
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@cecielle95 yesterday successfully defended her Phd thesis “Optimizing Machine Learning: Enhancing Interpretability and Performance through Mathematical Optimization” getting the laude ❤️❤️1/2
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#OA contribution to the field of #Explainability in #MachineLearning: #CounterfactualAnalysis can help you to find a #supervised #discretization of your #featurespace, with many advantages, including, #robustness! 👏👏👏👏 Cecilia & 🙏🙏🙏🙏 Veronica! #orms 👇
I am so happy to share this news! It's now available open access on European Journal of Operational Research “Supervised Feature Compression based on Counterfactual Analysis”, joint work with @Veronic17057766 and @DoloresRomeroM
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I am so happy to share this news! It's now available open access on European Journal of Operational Research “Supervised Feature Compression based on Counterfactual Analysis”, joint work with @Veronic17057766 and @DoloresRomeroM
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So happy to share that our paper on Collective Counterfactuals, published in Expert Systems with Applications, is now freely available for 50 days at https://t.co/SF0GvGqzzV. This is joint work with @emiliocarrizosa and @DoloresRomeroM! 😊
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@Veronic17057766 @cecielle95 I am sure the audience will enjoy very much the wonderful work Cecilia is doing to enhance #machinelearning models through #superviseddiscretization by means of #orms !💜💜💜💜
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#Discretization provides you with better #classifiers in terms of #interpretability and robustness. Here, we let counterfactual analysis #supervise the discretisation. I 💜 working with @cecielle95 and @Veronic17057766 and I do hope you like our paper ! #orms #XAI 👇🏼
Check it out, now available the update of our work on 'Supervised Feature Compression based on Counterfactual Analysis', joint work with @Veronic17057766 and @DoloresRomeroM
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The code for reproducing our experiments is available on @github
github.com
Contribute to ceciliasalvatore/sFCCA development by creating an account on GitHub.
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We propose a #supervised #discretization technique based on #CounterfactualExplanation, and we show that this procedure can be used as a preprocessing step for training optimal decision trees.
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Check it out, now available the update of our work on 'Supervised Feature Compression based on Counterfactual Analysis', joint work with @Veronic17057766 and @DoloresRomeroM
arxiv.org
Counterfactual Explanations are becoming a de-facto standard in post-hoc interpretable machine learning. For a given classifier and an instance classified in an undesired class, its counterfactual...
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Today it is our day, International #Women in #Mathematics Day ! I have the honor to share great moments with great women in our area, including the ones in the pic! Looking at them, I see a very bright future! Stay tuned to follow them! #orms
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Thank you so much @DoloresRomeroM for hosting me and giving me the opportunity of such a wonderful experience in Copenhagen!
Saying see you soon to Cecilia @cecielle95 ! Pleasure to have hosted her at @CBScph @CBS_ECON ! thank you @Veronic17057766 for facilitating this ! #XAI #orms #PhDlife
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Cecilia Salvatore, Tor Vergata University of Rome Feature #Compression based on #Counterfactual Analysis
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📢📢📢📢Available at @ResearchGate our work on 'Supervised #Feature #Compression based on #CounterfactualAnalysis', with Cecilia Salvatore @cecielle95, who is visiting PhD student at our @CBS_ECON department, and Veronica Piccialli @Veronic17057766 ! #XAI #orms 👇👇👇👇
📢 Check it out, now available on @ResearchGate our new paper 'Supervised Feature Compression based on Counterfactual Analysis' with @Veronic17057766 @DoloresRomeroM @needs_project
https://t.co/0x7GRpoaYp (1/5)
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The code for reproducing all the experiments is available on @github
https://t.co/DVmOnWvauv (5/5)
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