MichelangeloDiamanti

Agora

Agora Crowd Simulation Framework

ARCADE

ARCADE: A dynamic framework adjusting simulation detail based on user perception. Bridging computer graphics to behavior simulations, it optimizes resources, maintains fidelity, and blends abstraction with refinement. Efficient in action management and memory use.

artificial-intelligence-prog-1

Battle-for-the-bay

Game for CGDD course

bootstrap-player

A Non-Intrusive HTML5 Audio Player Skin For Twitter Bootstrap

Casino

Progetto sistemi operativi

Compute-Shader-Tests

CurriculumVitaeRelease

hcr

Handwritten Characters Recognition using ANN

ML_literature_review

A literature review summarizes the existing research in a chosen field, condensing state-of-the-art knowledge into a single analysis. Unfortunately, literature reviews are highly timeconsuming. In particular, a researcher’s first pass over an entire research corpus can take an enormous amount of time. To mitigate this limitation, this paper proposes a semi-automatic method for classifying paper titles based on how interesting they should be to the researcher. Our method involves selecting keywords, searching databases of papers, preparing training data for a machine learning model, and then finally training, optimizing, and deploying the model to help classify papers. Throughout the paper, we give examples of how we applied our method to support two ongoing literature reviews in the fields of Experience Management and Crowd Simulation. We hope that our method can simplify the similar efforts of others in the future.

MichelangeloDiamanti/ML_literature_review

A literature review summarizes the existing research in a chosen field, condensing state-of-the-art knowledge into a single analysis. Unfortunately, literature reviews are highly timeconsuming. In particular, a researcher’s first pass over an entire research corpus can take an enormous amount of time. To mitigate this limitation, this paper proposes a semi-automatic method for classifying paper titles based on how interesting they should be to the researcher. Our method involves selecting keywords, searching databases of papers, preparing training data for a machine learning model, and then finally training, optimizing, and deploying the model to help classify papers. Throughout the paper, we give examples of how we applied our method to support two ongoing literature reviews in the fields of Experience Management and Crowd Simulation. We hope that our method can simplify the similar efforts of others in the future.

MichelangeloDiamanti/Agora

Agora Crowd Simulation Framework

MichelangeloDiamanti/ARCADE

ARCADE: A dynamic framework adjusting simulation detail based on user perception. Bridging computer graphics to behavior simulations, it optimizes resources, maintains fidelity, and blends abstraction with refinement. Efficient in action management and memory use.

MichelangeloDiamanti/artificial-intelligence-prog-1

MichelangeloDiamanti/Battle-for-the-bay

Game for CGDD course

MichelangeloDiamanti/bootstrap-player

A Non-Intrusive HTML5 Audio Player Skin For Twitter Bootstrap

MichelangeloDiamanti/Casino

Progetto sistemi operativi

MichelangeloDiamanti/Compute-Shader-Tests

MichelangeloDiamanti/CurriculumVitaeRelease

MichelangeloDiamanti/hcr

Handwritten Characters Recognition using ANN

MichelangeloDiamanti/demo_app

MichelangeloDiamanti/first_app

My first app

MichelangeloDiamanti/Menge

The source code for the Menge crowd simulation framework

MichelangeloDiamanti/MengeCS

C-Sharp bindings for Menge

MichelangeloDiamanti/MichelangeloDiamanti

MichelangeloDiamanti/mySelfie

mySelfie, be yourselfie

MichelangeloDiamanti/RVO2-Unity

use rvo2 (Optimal Reciprocal Collision Avoidance) in unity.

MichelangeloDiamanti/sample_app

Ruby on rails tutorial sample application

MichelangeloDiamanti/SymfonyBlog

MichelangeloDiamanti/UnicamCompleanno

Applicazione console C# che calcola l'età dell'utente e gli indica i giorni che lo separano dal suo prossimo compleanno

MichelangeloDiamanti/UnicamScacchi

Applicazione che consentirà all'eterna sfida Bob VS Ross di avere luogo.