Papers bidding, Big Data Analytics 2020/2021
Express your preference for five papers. In the assignment of the paper, we will take into account your preferences.
The title and the link to the pdf of each paper are available here:
https://drive.google.com/file/d/1nGhgy-ts6Sp9-XgFDva3NAAHC1Yt0aKs/view?usp=sharing
INFORMATIVA SULLA PRIVACY
Ai sensi dell’articolo 13 del D.Lgs. 196/2003 (il "Codice Privacy"), il dr. Luca Pappalardo la dr. Fosca Giannotti, in qualità di Titolare del Trattamento, informano che i dati personali del Partecipante indicati nella domanda di iscrizione, ivi compreso l’indirizzo di posta elettronica fornito, verranno utilizzati principalmente al fine di consentirne la partecipazione al corso di Big Data Analytics per l'anno accademico 2020/2021, oltre che per l’adempimento di obblighi previsti dalla Legge. I Dati potranno inoltre essere utilizzati in futuro per informare il Partecipante circa altre iniziative analoghe.
Il trattamento dei dati avverrà mediante strumenti manuali, informatici e telematici. Il Partecipante al corso, inviando richiesta di iscrizione, presta altresì il proprio consenso alla comunicazione da parte degli Organizzatori del corso dei dati relativi a ciascun team (nomi e cognomi dei componenti, nome del team, Progetto presentato e materiali prodotti dal team) sul sito web del corso.
Il consenso al Trattamento come sopra descritto, è implicito nella partecipazione al corso di Big Data Analytics, anno accademico 2020/2021, e si intende prestato all’atto dell'iscrizione stessa. Ai sensi dell'art. 15 del Reg. EU, l’Interessato ha diritto di accesso ai dati oggetto del trattamento, compreso il diritto di riceverne una copia. Tra questi il periodo di conservazione previsto o, se non è possibile, i criteri utilizzati per definire tale periodo, nonché le garanzie applicate in caso di trasferimento dei dati verso Paesi terzi. Ove applicabili, Lei ha altresì i diritti di cui agli artt. 16-21 del Reg. EU 2016/679 (Diritto di rettifica, diritto all’oblio, diritto di limitazione di trattamento, diritto alla portabilità dei dati, diritto di opposizione), nonché il diritto di reclamo all’Autorità Garante.
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Automation of Leasing Vehicle Return Assessment Using Deep Learning Models
Autonomous Driving Validation with Model-Based Dictionary Clustering
CrimeForecaster: Crime Prediction by Exploiting the Neighborhoods’ Spatiotemporal Dependencies
FlowFrontNet: Improving Carbon Composite Manufacturing with CNNs
Think out of the package: Recommending package types for e-commerce shipments
Estimating educational outcomes from students’ short texts on social media
Modeling and predicting evacuation flows during hurricane Irma
Mapping socioeconomic indicators using social media advertising data
In search of art: rapid estimates of gallery and museum visits using Google Trends
A Context-aware Approach to Detect Abnormal Human Behaviors
Stress Prediction from Head Motion
Using Data Science to Improve the Identification of Plant Nutritional Status
Cardea: An Open Automated Machine Learning Framework for Electronic Health Records
Driving with Data in the Motor City: Understanding and Predicting Fleet Maintenance Patterns
Profiling US Restaurants from Billions of Payment Card Transactions
Urban and socio-economic correlates of property prices in Dublin’s area
Traffic Flow Estimation using Probe Vehicle Data
Are You Human? Detecting Bots on Twitter Using BERT
Attentional Multi-graph Convolutional Network for Regional Economy Prediction with Open Migration Data
Prediction and Profiling of Audience Competition for Online Television Series
Estimating countries’ peace index through the lens of the world news as monitored by GDELT
BusTr: Predicting Bus Travel Times from Real-Time Traffic
CompactETA: A Fast Inference System for Travel Time Prediction
Calibrating User Response Predictions in Online Advertising
Detecting and predicting evidences of insider trading in the Brazilian market
Prediction of Global Navigation Satellite System Positioning Errors with Guarantees
Socio-economic, built environment, and mobility conditions associated with crime: a study of multiple cities
Second preference
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Automation of Leasing Vehicle Return Assessment Using Deep Learning Models
Autonomous Driving Validation with Model-Based Dictionary Clustering
CrimeForecaster: Crime Prediction by Exploiting the Neighborhoods’ Spatiotemporal Dependencies
FlowFrontNet: Improving Carbon Composite Manufacturing with CNNs
Think out of the package: Recommending package types for e-commerce shipments
Estimating educational outcomes from students’ short texts on social media
Modeling and predicting evacuation flows during hurricane Irma
Mapping socioeconomic indicators using social media advertising data
In search of art: rapid estimates of gallery and museum visits using Google Trends
A Context-aware Approach to Detect Abnormal Human Behaviors
Stress Prediction from Head Motion
Using Data Science to Improve the Identification of Plant Nutritional Status
Cardea: An Open Automated Machine Learning Framework for Electronic Health Records
Driving with Data in the Motor City: Understanding and Predicting Fleet Maintenance Patterns
Profiling US Restaurants from Billions of Payment Card Transactions
Urban and socio-economic correlates of property prices in Dublin’s area
Traffic Flow Estimation using Probe Vehicle Data
Are You Human? Detecting Bots on Twitter Using BERT
Attentional Multi-graph Convolutional Network for Regional Economy Prediction with Open Migration Data
Prediction and Profiling of Audience Competition for Online Television Series
Estimating countries’ peace index through the lens of the world news as monitored by GDELT
BusTr: Predicting Bus Travel Times from Real-Time Traffic
CompactETA: A Fast Inference System for Travel Time Prediction
Calibrating User Response Predictions in Online Advertising
Detecting and predicting evidences of insider trading in the Brazilian market
Prediction of Global Navigation Satellite System Positioning Errors with Guarantees
Socio-economic, built environment, and mobility conditions associated with crime: a study of multiple cities
Third preference
*
Choose
Automation of Leasing Vehicle Return Assessment Using Deep Learning Models
Autonomous Driving Validation with Model-Based Dictionary Clustering
CrimeForecaster: Crime Prediction by Exploiting the Neighborhoods’ Spatiotemporal Dependencies
FlowFrontNet: Improving Carbon Composite Manufacturing with CNNs
Think out of the package: Recommending package types for e-commerce shipments
Estimating educational outcomes from students’ short texts on social media
Modeling and predicting evacuation flows during hurricane Irma
Mapping socioeconomic indicators using social media advertising data
In search of art: rapid estimates of gallery and museum visits using Google Trends
A Context-aware Approach to Detect Abnormal Human Behaviors
Stress Prediction from Head Motion
Using Data Science to Improve the Identification of Plant Nutritional Status
Cardea: An Open Automated Machine Learning Framework for Electronic Health Records
Driving with Data in the Motor City: Understanding and Predicting Fleet Maintenance Patterns
Profiling US Restaurants from Billions of Payment Card Transactions
Urban and socio-economic correlates of property prices in Dublin’s area
Traffic Flow Estimation using Probe Vehicle Data
Are You Human? Detecting Bots on Twitter Using BERT
Attentional Multi-graph Convolutional Network for Regional Economy Prediction with Open Migration Data
Prediction and Profiling of Audience Competition for Online Television Series
Estimating countries’ peace index through the lens of the world news as monitored by GDELT
BusTr: Predicting Bus Travel Times from Real-Time Traffic
CompactETA: A Fast Inference System for Travel Time Prediction
Calibrating User Response Predictions in Online Advertising
Detecting and predicting evidences of insider trading in the Brazilian market
Prediction of Global Navigation Satellite System Positioning Errors with Guarantees
Socio-economic, built environment, and mobility conditions associated with crime: a study of multiple cities
Fourth preference
*
Choose
Automation of Leasing Vehicle Return Assessment Using Deep Learning Models
Autonomous Driving Validation with Model-Based Dictionary Clustering
CrimeForecaster: Crime Prediction by Exploiting the Neighborhoods’ Spatiotemporal Dependencies
FlowFrontNet: Improving Carbon Composite Manufacturing with CNNs
Think out of the package: Recommending package types for e-commerce shipments
Estimating educational outcomes from students’ short texts on social media
Modeling and predicting evacuation flows during hurricane Irma
Mapping socioeconomic indicators using social media advertising data
In search of art: rapid estimates of gallery and museum visits using Google Trends
A Context-aware Approach to Detect Abnormal Human Behaviors
Stress Prediction from Head Motion
Using Data Science to Improve the Identification of Plant Nutritional Status
Cardea: An Open Automated Machine Learning Framework for Electronic Health Records
Driving with Data in the Motor City: Understanding and Predicting Fleet Maintenance Patterns
Profiling US Restaurants from Billions of Payment Card Transactions
Urban and socio-economic correlates of property prices in Dublin’s area
Traffic Flow Estimation using Probe Vehicle Data
Are You Human? Detecting Bots on Twitter Using BERT
Attentional Multi-graph Convolutional Network for Regional Economy Prediction with Open Migration Data
Prediction and Profiling of Audience Competition for Online Television Series
Estimating countries’ peace index through the lens of the world news as monitored by GDELT
BusTr: Predicting Bus Travel Times from Real-Time Traffic
CompactETA: A Fast Inference System for Travel Time Prediction
Calibrating User Response Predictions in Online Advertising
Detecting and predicting evidences of insider trading in the Brazilian market
Prediction of Global Navigation Satellite System Positioning Errors with Guarantees
Socio-economic, built environment, and mobility conditions associated with crime: a study of multiple cities
Fifth preference
*
Choose
Automation of Leasing Vehicle Return Assessment Using Deep Learning Models
Autonomous Driving Validation with Model-Based Dictionary Clustering
CrimeForecaster: Crime Prediction by Exploiting the Neighborhoods’ Spatiotemporal Dependencies
FlowFrontNet: Improving Carbon Composite Manufacturing with CNNs
Think out of the package: Recommending package types for e-commerce shipments
Estimating educational outcomes from students’ short texts on social media
Modeling and predicting evacuation flows during hurricane Irma
Mapping socioeconomic indicators using social media advertising data
In search of art: rapid estimates of gallery and museum visits using Google Trends
A Context-aware Approach to Detect Abnormal Human Behaviors
Stress Prediction from Head Motion
Using Data Science to Improve the Identification of Plant Nutritional Status
Cardea: An Open Automated Machine Learning Framework for Electronic Health Records
Driving with Data in the Motor City: Understanding and Predicting Fleet Maintenance Patterns
Profiling US Restaurants from Billions of Payment Card Transactions
Urban and socio-economic correlates of property prices in Dublin’s area
Traffic Flow Estimation using Probe Vehicle Data
Are You Human? Detecting Bots on Twitter Using BERT
Attentional Multi-graph Convolutional Network for Regional Economy Prediction with Open Migration Data
Prediction and Profiling of Audience Competition for Online Television Series
Estimating countries’ peace index through the lens of the world news as monitored by GDELT
BusTr: Predicting Bus Travel Times from Real-Time Traffic
CompactETA: A Fast Inference System for Travel Time Prediction
Calibrating User Response Predictions in Online Advertising
Detecting and predicting evidences of insider trading in the Brazilian market
Prediction of Global Navigation Satellite System Positioning Errors with Guarantees
Socio-economic, built environment, and mobility conditions associated with crime: a study of multiple cities
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