My research effort are mostly focused on artificial intelligence and machine learning. During the last years I worked on security, data analysis, classification, ranking and more recently computational epidemiology. According to Google Scholar my articles have been cited almost 2300 times.

Developing Measures of Cognitive Impairment in the Real World from Consumer-Grade Multimodal Sensor Streams
Richard Chen, Filip Jankovic, Luca Foschini, Lampros Kourtis, Alessio Signorini, Nikki...
KDD2019 - ACM SIGKDD Conference on Knowledge Discovery and Data Mining

The ubiquity and remarkable technological progress of wearable consumer devices and mobile-computing platforms (smart phone, smart watch, tablet), along with the multitude of sensor modalities available, have enabled continuous monitoring of patients and their daily...

Influenza Surveillance Using Wearable Mobile Health Devices
Benjamin Bradshaw, Kevin J. Konty, Ernesto Ramirez, Wei-Nchih Lee, Alessio Signorini,...
ISDS 2019 - 19th Annual Conference of International Society for Disease Surveillance

The potential of mHealth devices to register illness has been recognized. This study is the first to present population-level influenza signals in a large network of mHealth users. Mobile health device data linked to ILI-specific...

Novel Digital Voice Biomarkers of Dementia
David Stück, Alessio Signorini, T. Alhanai, Maggie Sandoval, Christine Lemke, Jim...
AAIC2018 - Alzheimer's Association International Confernce 2018

According to recent statistics, dementia in its various forms afflicts more than 7.5 million people in the United States, with Alzheimer's disease accounting for 60~80% of these cases. Doctors diagnose Alzheimer's and other types...

Collecting and Analyzing Millions of mHealth Data Streams
Tom Quisel, Luca Foschini, Alessio Signorini, David Kale
KDD2017 - 23rd SIGKDD Conference on Knowledge Discovery and Data Mining

Players across the health ecosystem are initiating studies of thousands, even millions, of participants to gather diverse types of data, including biomedical, behavioral, and lifestyle in order to advance medical research. These efforts to...

Behavioral Phenotyping of Digital Health Tracker Data
Luca Foschini, Thomas Quisel, Alessio Signorini
SDM2016 - Data Mining for Medicine and Healthcare

With the surge in popularity of wearable technologies a large percentage of the US population is now tracking activities such as sleep, diet and physical exercise. In this study we empirically evaluate the ability...

Use of Social Media to Monitor and Predict Outbreaks and Public Opinion on Health Topics
Alessio Signorini
University of Iowa, PhD Thesis

The world in which we live has changed rapidly over the last few decades. Threats of bioterrorism, influenza pandemics, and emerging infectious diseases coupled with unprecedented population mobility led to the development of public...

Electronic Word of Mouth on Twitter About Physical Activity in the United States: Exploratory Infodemiology Study
Ni Zhang, Alessio Signorini, Shelly Campo, Kathleen F Janz, Petya Eckler,...
Journal of Medical Internet Research 2013, volume 15

Tweets about physical activity were dominated by neutral sentiments (1270/1500, 84.67%). Providing opinions or information regarding physical activity (1464/1500, 97.60%) and chatting about physical activity (1354/1500, 90.27%) were found to be popular on Twitter. Approximately...

Inferring Travel from Social Media
Alessio Signorini, Alberto Segre, Philip Polgreen
ISDS 2011 - 10th Annual Conference of International Society for Disease Surveillance

To use sequential, geocoded social media data as a proxy for human movement to support both disease surveillance and modeling.

The Use of Twitter to Track Levels of Disease Activity and Public Concern in the US during the Influenza A H1N1 Pandemic
Alessio Signorini, Alberto Segre, Philip Polgreen
PLoS ONE - Journal, May 2011

Twitter is a free social networking and micro-blogging service that enables its millions of users to send and read each other’s ‘‘tweets,’’ or short, 140-character messages. The service has more than 190 million registered users...

Using Twitter to Estimate H1N1 Influenza Activity
Alessio Signorini, Philip Polgreen, Alberto Segre
ISDS 2010 - 9th Annual Conference of International Society for Disease Surveillance

This paper describes a system that uses Twitter to estimate influenza-like illness levels by geographic region.

If you ask nicely, I will answer: Semantic Search and Today's Search Engines
Tomasz Imielinski, Alessio Signorini
IEEE-ICSC 2009 - 3rd IEEE International Conference on Semantic Computing

Today’s search engines are still very sensitive to the way queries are constructed. In some occasions, equivalent but slightly different forms of a query lead to completely different results. However, popular queries with only one...

Social Web Information Monitoring for Health
Alessio Signorini
University of Iowa, Comprehensive Exam

In the “Web 2.0” where every user is at the same time a producer and a consumer. The studies presented in this report demonstrated a high level of correlation between social activities performed online and...

Distributed Marketplaces using P2P Networks and Public-Key Cryptography
Alessio Signorini, Antonio Gulli, Alberto Maria Segre
Infoscale 2008 - 3rd International ICST Conference on Scalable Information Systems

In the last years the Internet has deeply changed the business world and introduced many new opportunities. Every day billions of dollars are spent in on-line services and electronic transactions among users all over the...

A Survey of Ranking Algorithms
Alessio Signorini
University of Iowa, Qualifying Exam

The role of ranking algorithms is thus crucial: select the pages that are most likely be able to satisfy the user’s needs, and bring them in the top positions. In this survey I will cover...

The Indexable Web is More than 11.5 Billion Pages
Alessio Signorini, Antonio Gulli
WWW2005 - 14th World Wide Web Conference

In this short paper we estimate the size of the public indexable web at 11.5 billion pages. We also estimate the overlap and the index size of Google, MSN, Ask/Teoma and Yahoo!.

Building an Open Source Meta-Search Engine
Alessio Signorini, Antonio Gulli
WWW2005 - 14th World Wide Web Conference

In this short paper we introduce Helios, a flexible and efficient open source meta-search engine. Helios currently runs on the top of 16 search engines (in Web, Books, News, and Academic publication domains), but additional...

Helios: A Complete Meta-Search Engine
Alessio Signorini
University of Pisa, Master Thesis

Helios is parallel low requirements meta-search engine written in C. It does not make use of threads and is suitable also for old machines. To parse the responses of the search engines it uses a...