synbrAIn - The Human-Machine Cooperation

The technology that is redesigning the present.

A new way of thinking about the human-machine relationship.

A new concept in Artificial Intelligence.

synbrAIn - The Human-Machine Cooperation

Speed, accuracy, operational skill. There's no competition: the computer's executive power is far superior to human ability. Yet no machine is equipped with instinct, empathy, or an ethical sense.

synbrAIn is working to make sure that human beings can relate responsibly to the machine, to improve people's work and lives.

About us

The datadetermineour method of analysis

For us they are only the starting point: it is the nature of the data that determines the actual method of analysis. In addition, the goal determines the choice of algorithms. We have to improve the quality of the data as much as possible to effectively instruct the predictive capabilities of neural networks. Often misunderstood or underestimated, this is actually one of the most critical phases of an Artificial Intelligence project.

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C. Barà, R. Pernice, C. A. Catania, M. Hilal, A. Porta, A. Humeau-Heurtier, L. Faes
Comparison of entropy rate measures for the evaluation of time series complexity: Simulations and application to heart rate and respiratory variability

An investigation of complexity in time series of complex systems using entropy rate and conditional entropy.

Roberto Pagani racconta l'evoluzione di synbrAIn

Roberto Pagani - CEO e Fondatore - racconta la vision e l'evoluzione di synbrAIn

D. Ippolito, C. Maino, D. Gandola, P. N. Franco, R. Miron, V. Barbu, M. Bologna, R. Corso, M. Breaban
Artificial Intelligence Applied to Chest X-ray: A Reliable Tool to Assess the Differential Diagnosis of Lung Pneumonia in the Emergency Department

Testing the diagnostic performance of an AI system in detecting COVID-19 pneumonia and typical bacterial pneumonia in patients who underwent a chest X-ray.

MEDIMAG-IA: the Senticlab team wins the hackathon!

Senticlab won the MEDIMAG-IA hackathon with an artificial intelligence system to recognize bone metastases and calculate their metabolic activity.

L. Sigcha, L. Borzì, F. Amato, I. Rechichi, C. Ramos-Romero, A. Cárdenas, L. Gascó, G. Olmo
Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson’s disease: A systematic review

A survey on the deep learning technologies which, combined with wearable sensors, could help in diagnosing and monitoring PD.

A new milestone in renal tumor segmentation: KiTS 2023

Senticlab is in the Top 5 in the KiTS 2023 competition, having developed an algorithm for image segmentation of the kidneys, to identify cysts and tumors.

G. Stoica, M. Breaban, V. Barbu
Analyzing domain shift when using additional data for the MICCAI KiTS23 Challenge

A technique to exploit domain shift during training for medical image 3D segmentation, so that the additional data becomes more usable.

V. Taormina, G. Raso, V. Gentile, L. Abbene, A. Buttacavoli, G. Bonsignore, C. Valenti, P. Messina, G. A. Scardina, D. Cascio
Automated Stabilization, Enhancement and Capillaries Segmentation in Videocapillaroscopy

This study describes a computerized support system for microcirculation analysis based on a deep learning approach.

N. Pillai, R. Giaconia
Enhancing video game experience with playtime training and tailoring of virtual opponents: Using Deep Q-Network based Reinforcement Learning on a Multi-Agent Environment

Through the means of Reinforcement Learning, this study explores the possibility of modern AIs to learn during the game.

S. Scimeca, F. Amato, G. Olmo, F. Asci, A. Suppa, G. Costantini, G. Saggio
Robust and language-independent acoustic features in Parkinson's disease

Investigating the impact of various factors such as language, gender, and recording conditions on the effectiveness of different vocal tasks.

G. Rubiu, M. Bologna, M. Cellina, M. Cè, D. Sala, R. Pagani, E. Mattavelli, D. Fazzini, S. Ibba, S. Papa, M. Alì
Teeth Segmentation in Panoramic Dental X-ray Using Mask Regional Convolutional Neural Network

Discover a novel algorithm that uses Mask-RCNN to segment teeth in panoramic dental X-rays with high accuracy and Dice score.

synbrAIn and Senticlab: three days of team building to celebrate the growth of the companies

How do you strengthen the team of an artificial intelligence startup? Here is the video of the team building event of synbrAIn and Senticlab of June 2023.

V. Cesarini, G. Costantini, F. Amato, V. Errico, L. Pietrosanti, A. L. Calado, R. Massa, E. Frezza, F. Irrera, A. Manoni, G. Saggio
Automatic Detection of Myotonia using a Sensory Glove with Resistive Flex Sensors and Machine Learning Techniques

This paper deals with the automatic detection of Myotonia from a task based on the sudden opening of the hand.

F. Amato, V. Cesarini, L. Pietrosanti, G. Costantini, G. Olmo, G. Saggio
Hallmarks of Parkinson’s disease progression determined by temporal evolution of speech attractors in the reconstructed phase-space

A model based on the temporal evolution of speech attractors in the reconstructed phase space to identify hallmarks of PD identification and progression.

F. Amato, G. Saggio, V. Cesarini, G. Olmo, G. Costantini
Machine learning- and statistical-based voice analysis of Parkinson’s disease patients: A survey

This review aims at identifying the most widely employed and promising machine learning methodologies to analyse Parkinson's disease patients voice.

Roberto Pagani racconta synbrAIn: video-intervista

In una video-intervista rilasciata a Story Time, Roberto Pagani (CEO di synbrAIn) racconta l'azienda e le sue attività

M. Rossi, D. Sala, D. Bovio, C. Salito, G. Alessandrelli, C. Lombardi, L. Mainardi, P. Cerveri
SLEEP-SEE-THROUGH: Explainable Deep Learning for Sleep Event Detection and Quantification From Wearable Somnography

In this work, optical, differential air-pressure and acceleration signals, acquired by a chest-worn sensor, are elaborated to feed a deep network.

G. Costantini, V. Cesarini, P. Di Leo, F. Amato, A. Suppa, F. Asci, A. Pisani, A. Calculli, G. Saggio
Artificial Intelligence-Based Voice Assessment of Patients with Parkinson’s Disease Off and On Treatment: Machine vs. Deep-Learning Comparison

Following the current state-of-the-art, several ML pipelines were compared, and deep learning was also explored with a custom CNN architecture.

O. E. Santangelo, V. Gentile, S. Pizzo, D. Giordano, F. Cedrone
Machine Learning and Prediction of Infectious Diseases: A Systematic Review

The aim of the study is to show whether it is possible to predict infectious disease outbreaks early, by using machine learning.

M. E. Tabacchi, D. Tegolo, D. Cascio, C. Valenti, S. Sorce, V. Gentile, V. Taormina, I. Brusca, G. Magazzù, A. Giuliano, G. Raso
A Fuzzy-Based Clinical Decision Support System for Coeliac Disease

This work describes a Clinical Decision Support System for supporting Coeliac Disease diagnosis, based on a neural-network-based fuzzy classifier.

G. Imbalzano, D. Rinaldi, G. Calandra-Buonaura, M. Contin, F. Amato, G. Giannini, L. Sambati, C. Ledda, A. Romagnolo, G. Olmo, P. Cortelli, M. Zibetti, L. Lopiano, C. A. Artusi
How resistant are levodopa-resistant axial symptoms? Response of freezing, posture, and voice to increasing levodopa intestinal infusion rates in Parkinson disease

Analysis of the resistance to high levodopa doses of FoG, posture, speech, and altered gait features presenting in daily-ON therapeutic condition.

D. Fundarò, V. Gentile, F. Milazzo, S. Sorce
Detecting Emotions from Illustrator Gestures—The Italian Case

This work presents the design of a classifier to recognize human emotions from body gestures.

F. Amato, M. Fasani, G. Raffaelli, V. Cesarini, G. Olmo, N. Di Lorenzo, G. Costantini, G. Saggio
Obesity and Gastro-Esophageal Reflux voice disorders: a Machine Learning approach

In this work, the influence of obesity and Gastro- Esophageal Reflux Disease (GERD) on voice is assessed, using a machine leargnin approach.

G. Coppola, A. Fiannaca, M. La Rosa, L. La Paglia, A. Urso, S. Gaglio
A Gene Ontology-Driven Wide and Deep Learning Architecture for Cell-Type Classification from Single-Cell RNA-seq Data

An AI architecture that classifies cell types of human tissue, combining a CNN deep learning model with a wide one.

G. Magazzù, S. Aquilina, C. Barbara, R. Bondin, I. Brusca, J. Bugeja, M. Camilleri, D. Cascio, S. Costa, C. Cuzzupè, A. Duca, M. Fregapane, V. Gentile, A. Giuliano, A. Grifò, A. Grima, A. Ieni, G. Li Calzi, F. Maisano, G. Melita, S. Pallio, I. Panasiti, S. Pellegrino, C. Romano, S. Sorce, M. E. Tabacchi, V. Taormina, D. Tegolo, A. Tortora, C. Valenti, C. Vella, G. Raso
Recognizing the Emergent and Submerged Iceberg of the Celiac Disease: ITAMA Project - Global Strategy Protocol

This study aims at assessing the diagnostic accuracy of minimally invasive point-of-care tests, which may eliminate the need for intestinal biopsy.

I. Rechichi, F. Amato, A. Cicolin, G. Olmo
Single-Channel EEG Detection of REM Sleep Behaviour Disorder: The Influence of REM and Slow Wave Sleep

This study proposes a method for automatically detecting RBD from single-channel EEG data, by analysing segments recorded during both REM sleep and SWS.

Emme Esse becomes a new shareholder of synbrAIn

After an intense collaboration that led to the development of MS HUMANAID, Emme Esse invests in synbrAin by subscribing to a reserved capital increase.

F. Amato, I. Rechichi, L. Borzì, G. Olmo
Sleep Quality through Vocal Analysis: a Telemedicine Application

This study assesses the feasibility of a telemedicine system for the evaluation of sleep quality through brief vocal recordings.

R. Miron, M. Breaban
Revitalizing regression tasks through modern training procedures. Applications in Medical Image Analysis

This work describes an approach to estimate the percentage of COVID-19 specific infection within the lung tissue.

Another milestone for Senticlab in lung cancer recognition

Senticlab has developed a AI-based solution to recognize tumoral nodules from chest radiographs, obtaining great results in the NODE21 competition.

F. Amato, L. Borzì, G. Olmo, C. A. Artusi, G. Imbalzano. L. Lopiano
Speech Impairment in Parkinson’s Disease: Acoustic Analysis of Unvoiced Consonants in Italian Native Speakers

This study analyses the transition regions of specific phonetic groups to model the loss of motor control and the difficulties in movements in PD patients.

COVID-X is going to fund a new synbrAIn project

The AIDE-X project will support the COVID-19 diagnosis by automatically detect pneumonia from radiographic images.

synbrAIn acquires SenticLab

After several years of collaboration, synbrAIn has acquired SenticLab, with the goal of supporting further growth of the entire company group.

F. Amato, L. Borzì, G. Olmo, J. R. Orozco-Arroyave
An algorithm for Parkinson’s disease speech classification based on isolated words analysis

This work presents an algorithm to detect Parkinson's disease based on patients' speech data.

Another great result for SenticLab in the MIA-COV19D competition at ICCV 2021

Our partner SenticLab is the runner-up in the MIA-COV19D competition, thanks to a novel AI-based solution for detecting COVID-19 in CT images.

R. Miron, C. Moisii, S. Dinu, M. Breaban
COVID Detection in Chest CTs: Improving the Baseline on COV19-CT-DB

This work presents a comparative analysis of three distinct approaches based on deep learning for COVID-19 detection in chest CTs.

synbrAIn announces a new strategic partnership with EMME ESSE

The MS HUMANAID platform by EMME ESSE, with AI modules developed by synbrAIn, starts a fruitful collaboration in the spirit of human-machine cooperation.

MS HUMANAID is now being used in other hospitals

The MS HUMANAID platform, which includes the AI modules developed by synbrAIn, will also come into operation in other hospitals in Brianza province, Italy.

R. Miron, R. Albert, M. Breaban
A Two-Stage Atrous Convolution Neural Network for Brain Tumor Segmentation and Survival Prediction

This work presents a neural network to identify different histologic sub-regions of gliomas in multi-parametric MRIs and further extracts radiomic features.

SenticLab wins the ImageCLEFmed Tuberculosis competition!

Our partner SenticLab developed the best (and winning) solution for identifying tubercolosis within CT scans.

MS HUMANAID: artificial intelligence to support COVID-19 diagnosis

In collaboration with synbrAIn, Emme Esse has released MS HUMANAID, an AI-based software aimed at supporting doctors in COVID-19 pneumonia diagnosis.

Synbrain continues growing!

Despite the COVID-19 pandemic, Synbrain continues its constant growing in terms of team size, know-how and stability.

D. Gibelli, A. Cappella, F. Bertozzi, D. Sala, S. Sitta, D. R. Tasso, F. Tomasi, C. Dolci, C. Sforza
Three-Dimensional Facial Anthropometric Analysis With and Without Landmark Labelling

This study investigates the role of landmarks labeling before 3D facial acquisition, by comparing several measurements.

F. Concone, R. Giaconia, G. Lo Re, M. Morana
A Smart Assistant for Visual Recognition of Painted Scenes

An intelligent system that visitors can use to automatically get a description of the scenes shown in a painted wooden ceiling.

G. Russo, D. Pedicino, F. Burzotta, M. Lodi Rizzini, L. Genuardi, R. Vinci, M. Bologna, A. D'Aiello, D. Gallo, C. Chiastra, C. Aurigemma, A. Bonanni, C. Trani, G. Liuzzo, F. Crea
Fluid-dynamics and biological features of unstable plaques: different shear stress for different plaques

The aim of this study is to provide a fluid-dynamic and biological description of unstable and stable (SA) plaques, according to OCT analysis.

A. Bono, A. Augello, G. Pilato, S. Gaglio
Exploiting Cognitive Architectures to Design Storytelling Activities for NarRob

This work explains how to exploit a cognitive architecture to model the characters of a story in an interactive storytelling system, accessible a humanoid robot

E. Rubegni, V. Gentile, A. Malizia, S. Sorce, N. Kargas
Child–display interaction: Lessons learned on touchless avatar-based large display interfaces

This work explores how children interact with touchless-enabled interactive displays, comparing their behavior with their chronological age.

S. Cavalieri, L. De Cecco, R. H. Brakenhoff, M. Serena Serafini, S. Canevari, S. Rossi, D. Lanfranco, F. J. P. Hoebers, F. W. R. Wesseling, S. Keek, K. Scheckenbach, D. Mattavelli, T. Hoffmann, L. López Pérez, G. Fico, M. Bologna, I. Nauta, C. René Leeman
Development of a multiomics database for personalized prognostic forecasting in head and neck cancer: The Big Data to Decide EU Project

This database represents the HNSCC largest available repository and will enable to develop decision support systems and machine learning models.

W. Wu, S. Samant, G. de Zwart, S. Zhao, B. Khan, M. Ahmad, M. Bologna, Y. Watanabe, Y. Murasato, F. Burzotta, E. S. Brilakis, G. Dangas, Y. Louvard, G. Stankovic, G. S. Kassab, F. Migliavacca, C. Chiastra, Y. S. Chatzizisis
3D reconstruction of coronary artery bifurcations from coronary angiography and optical coherence tomography: feasibility, validation, and reproducibility

A novel methodology for 3D reconstruction of coronary artery bifurcations based on the integration of angiography with optical coherence tomography (OCT).

synbrAIn obtains new European funding within the DIGI-B-Cube programme

Project AI4NT aims at supporting therapy and diagnosis of patients affected by cognitive diseases, by designing novel artificial intelligence tools.

R. M. Ungureanu, M. Breaban
An Evolutionary Distributed Framework for Projection Pursuit

Projection Pursuit is a methodology for deriving meaningful low-dimensional representations of data.

R. Miron, C. Moisii, M. Breaban
Revealing Lung Affections from CTs. A Comparative Analysis of Various Deep Learning Approaches for Dealing with Volumetric Data

This work compares several deep learning approaches to automatically detect tuberculosis related lesions in lung CTs.

M. Bologna, V. Corino, G. Calareso, C. Tenconi, S. Alfieri, N. A. Iacovelli, A. Cavallo, S. Cavalieri, L. Locati, P. Bossi, D. A. Romanello, R. Ingargiola, T. Rancati, E. Pignoli, S. Sdao, M. Pecorilla, N. Facchinetti, A. Trama, L. Licitra, L. Mainardi, E
Baseline MRI-Radiomics Can Predict Overall Survival in Non-Endemic EBV-Related Nasopharyngeal Carcinoma Patients

This study aims at developing a MRI-based radiomic signature as a prognostic marker for different clinical endpoints in NPC patients from non-endemic areas.

A. Bono, A. Augello, M. Gentile, S. Gaglio
Social Practices based characters in a Robotic Storytelling System

This work describes a robotic storytelling system, where the characters have been modelled as cognitive agents embodied in Pepper and NAO robots.

M. Bologna, V. Corino, C. Tenconi, N. Facchinetti, G. Calareso, N. Iacovelli, A. Cavallo, S. Alfieri, S. Cavalieri, C. Fallai, R. Valdagni, T. Rancati, A. Trama, L. Licitra, E. Orlandi, L. Mainardi
Methodology and technology for the development of a prognostic MRI-based radiomic model for the outcome of head and neck cancer patients

This work describes a methodology for developing an MRI-based radiomic signature for prognosis of overall survival in nasopharyngeal cancer.

V. Gentile, M. Khamis, F. Milazzo, S. Sorce, A. Malizia, F. Alt
Predicting Mid-Air Gestural Interaction with Public Displays based on Audience Behaviour

This work shows how to build predictor models to forecast users’ interaction duration and distance when interacting via touchless mid-air gestures in public.

L. Borzì, S. Fornara, F. Amato, G. Olmo, C. A. Artusi, L. Lopiano
Smartphone-Based Evaluation of Postural Stability in Parkinson’s Disease Patients During Quiet Stance

The aim of this study is to provide a reliable tool for the automated assessment of postural instability.

S. Pasquali, M. Bologna, G. Infante, R. Vigorito, A. Messina, C. Morosi, R. Miceli, G. Greco, A. Casale, V. Corino, F. Barretta, L. Mainardi, E. Palassini, R. Sanfilippo, S. Stacchiotti, P. G. Casali, D. Callegaro, A. Gronchi
Radiomic features for patients with primary soft tissue sarcomas: A prognostic study

This study investigated the added value of end-point specific radiomic signatures (RS) in patients with primary ESTS and RPS.

S. Alfieri, R. Romanò, M. Bologna, G. Calareso, A. Mirabile, A. Ferri, A. Marcantoni, E. Grosso, A. Tarsitano, S. Valerini, S. Vecchio, L. Deantonio, F. Blengio, T. Ibrahim, M. Mancinelli, F. Ascoli, P. Bossi, L. D. Locati, L. Mainardi, L. F. Licitra
Prognostic role of pre-treatment magnetic resonance imaging (MRI) radiomic analysis in patients with squamous cell carcinoma of the head and neck (SCCHN)

Data suggest that radiomics can be used to predict outcomes in SCCHN. Here a radiomic model was developed to identify high and low risk of disease recurrence.

A. Chella, A. Pipitone, A. Morin, F. Racy
Developing Self-Awareness in Robots via Inner Speech

This article includes a review of psychological models for inner speech, and a cognitive architecture to implement such capability in robots.

E. Montin, A. Belfatto, M. Bologna, S. Meroni, C. Cavatorta, E. Pecori, B. Diletto, M. Massimino, M. C. Oprandi, G. Poggi, F. Arrigoni, D. Peruzzo, E. Pignoli, L. Gandola, P. Cerveri, L. Mainardi
A multi-metric registration strategy for the alignment of longitudinal brain images in pediatric oncology

Two multi-metric approaches are proposed for image registration of brain images, combining mutual information and normalized gradient field filter.

S. Migliori, C. Chiastra, M. Bologna, E. Montini, G. Dubini, L. Genuardi, C. Aurigemma, L. Mainardi, F. Burzotta, F. Migliavacca
Application of an OCT-based 3D reconstruction framework to the hemodynamic assessment of an ulcerated coronary artery plaque

The aim of this study is the application of a framework for the in-silico analysis of the disrupted hemodynamics due to an ulcerated lesion.

M. Bologna, G. Calareso, C. Resteghini, S. Sdao, E. Montin, V. Corino, L. Mainardi, L. Licitra, P. Bossi
Relevance of apparent diffusion coefficient features for a radiomics‐based prediction of response to induction chemotherapy in sinonasal cancer

This work compare the performance of several radiomics‐based predictive models of response to induction chemotherapy (IC) in sinonasal cancers (SNCs).

A. Bono, A. Augello, G. Pilato, F. Vella, S. Gaglio
An ACT-R Based Humanoid Social Robot to Manage Storytelling Activities

This work describes an interactive storytelling system, accessible through the SoftBank robotic platforms NAO and Pepper.

M. Colombo, M. Bologna, M. Garbey, S. Berceli, Y. He, J. F. Rodriguez Matas, F. Migliavacca, C. Chiastra
Computing patient-specific hemodynamics in stented femoral artery models obtained from computed tomography using a validated 3D reconstruction method

This paper describes a 3D reconstruction method based on segmentation of patients' CT images with calcification, metallic artifacts and thrombus removal.

C. Padurariu, M. Breaban
Dealing with Data Imbalance in Text Classification

This work investigates classification algorithms, text vectorization and schemes to deal with data imbalance, proposing a novel cost sensitive approach.

A. Chella, A. Pipitone
A cognitive architecture for inner speech

This work presents a novel cognitive architecture for inner speech, based on the Standard Model of Mind, integrated with modules for self-talking.

M. Bologna, V. Corino, L. Mainardi
Virtual phantom analyses for preprocessing evaluation and detection of a robust feature set for MRI‐radiomics of the brain

This work uses a virtual phantom to identify a set of radiomic features MRI brain images, which is stable to variations in image acquisition parameters.

A. Pipitone, A. Chella
A Calculus for Robot Inner Speech and Self-Awareness

This work presents a calculus based on a first-order modal logic, attempting to make the existing inner speech theories suitable for robot.

C. Frasinaru, M. Raschip
Greedy Best-First Search for the Optimal-Size Sorting Network Problem

This works consists in an effective algorithm for creating minimal-size sorting networks, based on incrementally constructing sets of sorting networks.

M. Bologna, V. D. A. Corino, L. T. Mainardi
Assessment of the effect of intensity standardization on the reliability of T1-weighted MRI radiomic features: experiment on a virtual phantom

In this work, the effect of time of repetition (TR) and time of echo (TE) on radiomic features was evaluated using a virtual phantom.

S. Sorce, A. Malizia, V. Gentile, P. Jiang, M. Atherton, D. Harrison
Evaluation of a Visual Tool for Early Patent Infringement Detection During Design

In this work, we report on a usability study carried out on a visual tool for patent infringement detection with 21 professional designers.

V. Gentile, A. Adjorlu, S. Serafin, D. Rocchesso, S. Sorce
Touch or touchless? Evaluating usability of interactive displays for persons with autistic spectrum disorders

This study investigates the difference in terms of usability, effectiveness, and enjoyment perceived by users with ASD between touch and touchless interaction.

E. Rubegni, V. Gentile, A. Malizia, S. Sorce, N. Kargas
Child-display Interaction: Exploring Avatar-based Touchless Gestural Interfaces

This work studies children's interactions with large display via touchless avatar-based interface, investigating the impact of interactiong on learning.

V. I. Lupoaie, I. A. Chili, M. Breaban, M. Raschip
SOM-Guided Evolutionary Search for Solving MinMax Multiple-TSP

This paper uses Self Organizing Maps, Evolutionary Algorithms and Ant Colony Systems to tackle the MinMax formulation of the Single-Depot Multiple-TSP

V. Gentile, D. Fundarò, S. Sorce
Elicitation and evaluation of zoom gestures for touchless interaction with desktop displays

This work describes a touchless gesture elicitation and usability study to understand how to perform zoom actions while interacting with desktop displays.

S. Sorce, V. Gentile, D. Cascio, A. Giuliano, M. Tabacchi, V. Taormina, D. Tegolo, C. Valenti, G. Raso
A REST-based Framework to Support Non-Invasive and Early Coeliac Disease Diagnosis

This framework provides a web API to access and process data from coeliac patients, to be used also as a basis for diagnostic decision support systems.

V. Gentile, P. Elagroudy, E. Ergin, S. Clinch
Pervasive Displays Research: What's Next?

An overview of novel areas of interest in pervasive displays research, based on the works presented during the 7th ACM Intl. Symposium on Pervasive Displays.

M. Speicher, J. Ehrlich, V. Gentile, D. Degraen, S. Sorce, A. Krüger
Pseudo-haptic Controls for Mid-air Finger-based Menu Interaction

In this work, we present and compare two visual approaches to mid-air finger-based menu control in virtual reality environments.

C. Frasinaru, M. Raschip
An Improved Subsumption Testing Algorithm for the Optimal-Size Sorting Network Problem

This work presents a new method that uses a bipartite graph for checking the subsumption relation for the optimal-size sorting network problem.

M. Bologna, S. Migliori, E. Montin, R. Rampat, G. Dubini, F. Migliavacca, L. Mainardi, C. Chiastra
Automatic segmentation of optical coherence tomography pullbacks of coronary arteries treated with bioresorbable vascular scaffolds: Application to hemodynamics modeling

This study validates a segmentation algorithm for the detection of both lumen contours and polymeric bioresorbable scaffold struts from 8-bit OCT images.

I. Pistol, D. Trandabat, M. Raschip
Medi-Test: Generating Tests from Medical Reference Texts

Using medical reference texts supported by a specific ontology, we developed Medi-test, a system to generate medical questionnaires in Romanian language.

M. Raschip, C. Croitoru, C. Frasinaru
New Evolutionary Approaches for SAT Solving

This work proposes new randomized fitness functions for a genetic algorithm used to solve the satisfiability problem, based on probability amplification.

S. Cavalieri, L. De Cecco, G. Calareso, M. Silva, S. E. Gazzani, M. Bologna, I. Nauta, F. Wesseling, L. Lopez Perez, R. Shefi, V. Tountopoulos, G. Fico, K. Scheckenbach, R. H. Brakenhoff, F. Hoebers, S. Canevari, T. Poli, L. Licitra, L. Mainardi
Genomics features (GF) and integration with MRI radiomics features (RF) to develop a prognostic model in oral cavity squamous cell carcinoma (OSCC)

This work consists in the development of a prognostic model in oral cavity squamous cell carcinoma based using genomics features and MRI radiomics features.

D. Minzat, M. Breaban, H. Luchian
Modeling real estate dynamics using survival analysis

Survival analysis is a method developed for medical research. We exploited it to analyze the time a property stays on market before selling.

P. Jiang, M. Atherton, S. Sorce, D. Harrison, A. Malizia
Design for invention: a framework for identifying emerging design–prior art conflict

This work consists in a framework that helps designers obtain insight on relevant prior art and enables emerging design–prior art comparison.

A. Chella, F. Lanza, A. Pipitone, V. Seidita
Knowledge acquisition through introspection in Human-Robot Cooperation

In this work uses a cognitive architecture for human-robot teaming interaction, to endow a robot with the ability to model its knowledge based on interactions.

M. Bologna, E. Montin, V. D. A. Corino, P. Bossi, G. Calareso, L. Licitra, L. T. Mainardi
Use of apparent diffusion coefficient images to predict response to induction chemotherapy in sinonasal cancer

This study identifies a set of radiomic features to predict the outcome of induction chemotherapy in sinonasal cancers.

S. Migliori, R. Rampat, M. Bologna, E. Montin, F. Burzotta, D. Hildick-Smith, G. Dubini, L. Mainardi, F. Migliavacca, J. Cockburn, C. Chiastra
A Patient-Specific Study Investigating the Relation between Coronary Hemodynamics and Neo-Intimal Thickening after Bifurcation Stenting with a Polymeric Bioresorbable Scaffold

This work presents a reconstruction methodology to compare patient-specific hemodynamics and neo-intimal thickening at nine months from the intervention.

S. Sorce, V. Gentile, D. Rocchesso
Ecological Invitation to Engage with Public Displays

This work introduces the idea of a sound-based system to overcome the display blindness, and some experiments to test its effectiveness.

S. Sorce, V. Gentile, D. Oliveto, R. Barraco, A. Malizia, A. Gentile
Exploring Usability and Accessibility of Avatar-based Touchless Gestural Interfaces for Autistic People

This study investigates if avatar-based touchless interfaces can foster interest towards artworks, making them more accessible for people affected by ASD.

V. Gentile, S. Sorce, I. Elhart, F. Milazzo
Plantxel: Towards a Plant-based Controllable Display

This work presents a novel technology to create controllable interactive displays, by exploiting thigmonastic behavior of plants such as Mimosa pudica.

M. Bologna, V. D. A. Corino, E. Montin, A. Messina, G. Calareso, F. G. Greco, S. Sdao, L. T. Mainardi
Assessment of Stability and Discrimination Capacity of Radiomic Features on Apparent Diffusion Coefficient Images

This work describes a new way to assess stability and discrimination capacity of radiomic features.

S. Sorce, A. Malizia, P. Jiang, M. Atherton, D. Harrison
A Novel Visual Interface to Foster Innovation in Mechanical Engineering and Protect from Patent Infringement

There are a lot of patent analysis systems, with various features. We have designed a visual interface providing an intuitive access to such systems.

R. Necula, M. Raschip, M. Breaban
Balancing the Subtours for Multiple TSP Approached with ACS: Clustering-Based Approaches Vs. MinMax Formulation

This work tackles the MinMax formulation of multiple-TSP, which aims at obtaining balanced subtours for the salesmen, based on an Ant Colony System.

A. Pipitone, G. Tirone, R. Pirrone
Named Entity Recognition and Linking in Tweets Based on Linguistic Similarity

This work proposes a novel approach in Named Entity rEcognition and Linking (NEEL) in tweets, applying similar strategies used for Question Answering (QA).

V. Gentile
Touchless solutions for tertiary prevention

Touchless systems allow higher accessibility to information provision systems for patients with reduced mobility, thus improving tertiary prevention.

S. Sorce, V. Gentile, C. Enea, A. Gentile, A. Malizia, F. Milazzo
A Touchless Gestural System for Extended Information Access Within a Campus

This work describes an information provision system allowing for touchless gestural interactions, along with a trial implementation within a University campus.

F. Milazzo, A. Augello, G. Pilato, V. Gentile, A. Gentile, S. Sorce
Exploiting Correlation between Body Gestures and Spoken Sentences for Real-time Emotion Recognition

This word exploits the correlation between user's affective state and the simultaneous body expressions, to automatically recognize emotions from gestures.

S. Migliori, C. Chiastra, M. Bologna, E. Montin, G. Dubini, C. Aurigemma, R. Fedele, F. Burzotta, L. Mainardi, F. Migliavacca
A framework for computational fluid dynamic analyses of patient-specific stented coronary arteries from optical coherence tomography images

In this study, an OCT-based reconstruction method was developed for the execution of CFD simulations of patient-specific coronary artery models.

F. Milazzo, V. Gentile, A. Gentile, S. Sorce
KIND-DAMA: A modular middleware for Kinect-like device data management

KIND‐DAMA is a modular middleware for easing the development of interactive applications based on gestural input, applicable in a plethora of scenarios.

M. Bologna, E. Montin, V. D.A. Corino, L. T. Mainardi
Stability assessment of first order statistics features computed on ADC maps in soft-tissue sarcoma

Aim of this study was to assess radiomic features stability and relevance for the analysis of medical images of soft-tissue sarcoma.

F. Milazzo, V. Gentile, S. Sorce, A. Gentile
Real-Time Body Gestures Recognition Using Training Set Constrained Reduction

This work presents a system able to recognize human body gestures implementing a constrained training set reduction technique, allowing for real-time execution.

M. Giardina, S. Tramonte, V. Gentile, S. Vinanzi, A. Chella, S. Sorce, R. Sorbello
Conveying Audience Emotions Through Humanoid Robot Gestures to an Orchestra During a Live Musical Exhibition

This work describes a system for conveying audience emotions during live musical exhibitions, controlling a humanoid robot based on mobile apps.

J. Touati, M. Bologna, A. Schwein, F. Migliavacca, M. Garbey
A robust construction algorithm of the centerline skeleton for complex aortic vascular structure using computational fluid dynamics

This work presents a brand new method for centerline extraction of vascular trees, by using computational fluid dynamics (CFD).

V. Gentile, S. Sorce, A. Malizia, F. Milazzo, A. Gentile
Investigating how user avatar in touchless interfaces affects perceived cognitive load and two-handed interactions

This work compares two versions of the same touchless gestural interface, to investigate the effect of user's Avatar on user experience and usability.

V. Gentile, M. Khamis, S. Sorce, F. Alt
They are looking at me!: understanding how audience presence impacts on public display users

This work investigates the influence of a passive audience on the engagement of people with an interactive touchless gestural public display.

V. Gentile, V. Mylonopoulou
Exploiting social comparison using pervasive displays and mobile notifications for reducing energy consumption

This work presents a persuasive pervasive system aimed at influencing users' behavior for reducing energy consumption in buildings.

R. Necula, M. Breaban, M. Raschip
Tackling Dynamic Vehicle Routing Problem with Time Windows by means of ant colony system

This study exploits an algorithm based on ant colony optimization for the resolution of Dynamic Vehicle Routing Problem with Time Windows (DVRPTW).

C. Chiastra, E. Montin, M. Bologna, S. Migliori, C. Aurigemma, F. Burzotta, S. Celi, G. Dubini, F. Migliavacca, L. Mainardi
Reconstruction of stented coronary arteries from optical coherence tomography images: Feasibility, validation, and repeatability of a segmentation method

In this study, a fully automatic method was developed for detection of both vessel contours and stent struts in tomography images.

F. Milazzo, V. Gentile, G. Vitello, A. Gentile, S. Sorce
Modular Middleware for Gestural Data and Devices Management

The purpose of this paper is to present a modular middleware for gestural data and devices management.

S. Sorce, S. Ruggieri, V. Gentile, A. Gentile, A. Malizia
Human-to-Human Interaction: The Killer Application of Ubiquitous Computing?

We believe that the most promising killer application of Ubiquitous Computing is already here: the Human-to-Human Interaction mediated by computers.

V. Gentile, F. Milazzo, S. Sorce, A. Gentile, A. Augello, G. Pilato
Body Gestures and Spoken Sentences: A Novel Approach for Revealing User’s Emotions

In this paper describes a method to detect emotions from gestures using gestural data and a textual description of their meaning.

A. Pipitone, G. Tirone, R. Pirrone
ChiLab4It System in the QA4FAQ Competition

ChiLab4It is a Question Answering system developer to automatically answer a set Frequently Asked Questions (FAQ).

A. Pipitone, G. Tirone, R. Pirrone
QuASIt: A Cognitive Inspired Approach to Question Answering for the Italian Language

This paper describes QuASIt, a Question Answering System for the Italian language, and the underlying cognitive architecture.

V. Gentile, S. Sorce, G. Russo, D. Pirrone, A. Gentile
A Multimodal Fruition Model for Graphical Contents in Ancient Books

This paper describes a solution for an innovative and multimodal exploration of ancient book contents, using both touch and touchless gestures.

V. Gentile, S. Sorce, A. Malizia, D. Pirrello, A. Gentile
Touchless Interfaces For Public Displays: Can We Deliver Interface Designers From Introducing Artificial Push Button Gestures?

This paper describes a comparison study aimed at understanding how avatar-based touchless interface affect user experience and usability of interactive displays

V. Gentile, S. Sorce, A. Malizia, A. Gentile
Gesture recognition using low-cost devices: Techniques, applications, perspectives

An overview about the most used techniques used for gesture recognition, based on data gathered by means of Kinect-like devices.

A. Pipitone, R. Pirrone
Aligning Relational Schema and OWL Ontologies with Hidden Markov Model

This paper proposes an innovative approach based on Hidden Markov Models for aligning relational schema and OWL ontologies.

A. Pipitone, F. Anastasio, R. Pirrone
HOWERD: A Hidden Markov Model for Automatic OWL-ERD Alignment

HOWERD is a model for estimating the most likely alignment between an OWL ontology and an Entity Relation Diagram (ERD).

A. Pipitone, F. Anastasio, R. Pirrone
An Innovative Statistical Tool for Automatic OWL-ERD Alignment

This paper presents an innovative statistical tool to accomplish the alignment between OWL ontologies and Entity Relation Diagrams.

R. Necula, M. Breaban, M. Raschip
Tackling the Bi-criteria Facet of Multiple Traveling Salesman Problem with Ant Colony Systems

This paper attempts at proposing and evaluating from a bi-criteria perspective several multi-objective Ant Colony Systems to tackle single-depot multiple TSP.

M. Breaban, A. Iftene
Dynamic Objective Sampling in Many-objective Optimization

This article describes an objective sampling scheme that can be incorporated in any multi-objective evolutionary algorithm, enhancing its convergence towards the Pareto front.

S. Sorce, A. Malizia, V. Gentile, A. Gentile
Touchless gestural interfaces for networked public displays: overcoming interaction blindness and performing evaluations in-the-wild

This work presents two challenges related to touchless networked displays: overcoming interaction blindness and performing evaluations in-the-wild

V. Gentile, A. Malizia, S. Sorce, A. Gentile
Designing Touchless Gestural Interactions for Public Displays In-the-Wild

This work provides an overview of the main challenges in evaluating and designing touchless gestures in-the-wild, using novel user-centred design methods.

M. Raschip, C. Croitoru, K. Stoffel
Guiding Evolutionary Search with Association Rules for Solving Weighted CSPs

In this work, evolutionary algorithms use the information extracted from the previous best solutions in Weighted CSP to guide the search in the next iterations.

R. Necula, M. Breaban, M. Raschip
Performance Evaluation of Ant Colony Systems for the Single-Depot Multiple Traveling Salesman Problem

This work uses Ant Colony Systems (ACS) for solving the multiple-Traveling Salesman problem (multiple-TSP) with single depot.

M. Raschip, C. Croitoru, K. Stoffel
Using association rules to guide evolutionary search in solving constraint satisfaction

The work investigates if evolutionary algorithms could improve their results by means of data mining techniques.

H. Luchian, M. Breaban, A. Bautu
On Meta-heuristics in Optimization and Data Analysis. Application to Geosciences

This chapter presents popular meta-heuristics inspired from nature, and in particular focusing on evolutionary computation (EC).

S. Timofeiov, M. Marinca, C. Bar, M. Breaban, V. Drug, V. Scripcariu
Conversion Rate to Resectability in Colorectal Cancer Liver Metastases: Need for Criteria Adapted to Current Therapy

This work aims at identifying the post-treatment time frame for confirming resectability or permanent unresectability in colorectal cancer liver metastases.

A. Pipitone, V. Cannella, R. Pirrone
I-ChatbIT : an intelligent chatbot for the Italian Language

This work presents a novel chatbot architecture for the Italian language, implementing cognitive understanding of queries and a suitable disambiguation strategy

A. Bruno, P. Carminetti, V. Gentile, M. La Cascia, E. Mancino
Palmprint principal lines extraction

This work describes an approach that combines several image processing techniques with the goal of extracting principal palmprint lines.

S. Sorce, A. Gentile
Internet of things: why we are not there yet

This work tries to depict the reasons why the actual implementations of IoT paradigm is still far from the original Weiser's vision of ubiquitous computing.

V. Gentile, S. Sorce, A. Gentile
Continuous Hand Openness Detection Using a Kinect-Like Device

This work describes a novel method to reproduce in real time the opening and closing gestures of a human hand, using data gathered from Kinect-like devices.

A. Pipitone, R. Pirrone
A Hidden Markov Model for Automatic Generation of ER Diagrams from OWL Ontology

This work describes an innovative technique for estimating the most likely composition of ERD constructs that correspond to a given sequence of OWL axioms.

V. Cannella, L. Fedeli, A. Pipitone, R. Pirrone, P. G. Rossi
Fostering Teacher-Student Interaction and Learner Autonomy by the I-TUTOR Maps

This work analyses the usability of an automatically generated concept map used as a mediator to foster interactions between students and teacher.

A. Pipitone, V. Cannella, R. Pirrone
Automatic Concept Maps Generation in Support of Educational Processes

This work describes a tool that analyses a document corpus, and generates a semantic space, which in turn can be displayed as a 2D zoomable concept map.

T. Sergiu, M. Breaban, D. Vasile, G. Andrei, I. Hutanu, S. Viorel
Extended Low Hartmann Operation with Total Mesorectal Excision-Optimal Surgical Treatment in Stage IV Mid and Upper Rectal Cancer

The aim of this study was to analyze the postoperative surgical complications in patients who underwent LAR, LC, or EHO.

S. Sorce, V. Gentile, A. Gentile
Real-Time Hand Pose Recognition Based on a Neural Network Using Microsoft Kinect

This paper describes how to use neural networks to detect in real time hand poses, based on data gathered from a Microsoft Kinect RGB-D sensor.

C. Serban, A. Siriteanu, C. Gheorghiu, A. Iftene, L. Alboaie, M. Breaban
Combining Image Retrieval, Metadata Processing and Naive Bayes Classification at Plant Identification

This work describes a system able to analyse a dataset of plant images, and classify them based on LIRe, metadata clustering and naive Bayes classification.

S. Boca, A. Gentile, S. Ruggieri, S. Sorce
An Evaluation of HCI and CMC in Information Systems within Highly Crowded Large Events

This work is aimed at evaluating and comparing two different versions of an information provision system deployed in two editions of a large and crowded fair.

A. Pipitone, M. C. Campisi, R. Pirrone
An A* based semantic tokenizer for increasing the performance of semantic applications

We present a novel semantic tokenizer that finds the sub-words through an application of the A* based search algorithm.

M. Breaban, D. Simovici, H. Luchian
Nonlinear Feature Extraction in a Logarithmic Space with Evolutionary Algorithms

This work presents a method to deliver non-linear projections of a data set that discriminate between existing labeled groups of data items.

M. Breaban
Multiobjective Projection Pursuit for Semisupervised Feature Extraction

This work describes a framework for linear feature extraction applicable in both unsupervised, semi-supervised and supervised data analysis.

C. Cranganu, M. Breaban
Using support vector regression to estimate sonic log distributions: A case study from the Anadarko Basin, Oklahoma

This work uses Support Vector Regression (SVR) to synthesize missing compressional acoustic or sonic logs when only common logs are available.

M. Breaban, H. Luchian
Outlier Detection with Nonlinear Projection Pursuit

This work proposes and investigates a new method to identify outliers in multivariate numerical data, driving its roots in projection pursuit.

S. Andolina, D. Pirrone, G. Russo, S. Sorce, A. Gentile
Exploitation of Mobile Access to Context-Based Information in Cultural Heritage Fruition

This work explores several case studies to show how mobile devices may become part of a memorable experience during a visit to museums or exhibits.

G. Russo, F. Anastasio, A. Pipitone, A. Gentile, R. Pirrone
VEBO: Validation of E-R diagrams through ontologies and WordNet

The work presented in this paper deals with an attempt to enrich a database structure using linguistic information.

M. Breaban, H. Luchian, D. Simovici
A Genetic Clustering Algorithm by Monomial Projection Pursuit

This work proposes a new method to identify significant structures in data and cluster them, based on the projection pursuit methodology.

A. Pipitone, R. Pirrone
Cognitive Linguistics as the Underlying Framework for Semantic Annotation

This work outlines a novel framework inspired to Cognitive Linguistics theories to allow semantic annotation.

A. Gentile, S. Andolina, A. Massara, D. Pirrone, G. Russo, A. Santangelo, S. Sorce, E. Trumello
QRouteMe: A Multichannel Information System to Ensure Rich User-Experiences in Exhibits and Museums

QRouteMe is a multichannel information system built to ensure rich user experiences in exhibits and museums.

A.Gentile, S. Andolina, A. Massara, D. Pirrone, G. Russo, A. Santangelo, E. Trumello, S. Sorce
A Multichannel Information System to Build and Deliver Rich User-Experiences in Exhibits and Museums

This work presents a multichannel information system to build and deliver rich user experiences in exhibits and museums.

A. Gentile, A. Santangelo, S. Sorce, S. Vitabile
Novel Human-to-Human Interactions from the Evolution of HCI

This work describes the evolution of HCI, and how it paved the way for novel current and upcoming human-to human interaction ways.

M. Breaban, H. Luchian
PSO aided k-means clustering: introducing connectivity in k-means

This work combines principles from two different clustering paradigms: the standard k-Means algorithm, hybridized with Particle Swarm Optimization.

A. Gentile, A. Santangelo, S. Sorce, S. Vitabile
Human-to-Human Interfaces: Emerging Trends and Challenges

Human-to-Human Interaction (HHI) describes how today's human interaction is largely indirect and mediated by a wide variety of technologies and devices.

M. Breaban, H. Luchian, DA. Simovici
Entropic-Genetic Clustering

This work addresses the clustering problem given the similarity matrix of a dataset,using two distinct criteria to minimize cut size and balance clusters.

M. Raschip, C. Croitoru
A Genetic Algorithm hybridized with the Discrete Lagrangian Method for trap escaping

This work introduces a genetic algorithm enhanced with a trap escaping strategy derived from the dual information presented as discrete Lagrange multipliers.

R. Pirrone, V. Cannella, G. Russo, A. Pipitone
A Cognitive Dialogue Manager for Education Purposes

This work presents a conversational agent intended to act as a part of an educational system.

V. Cannella, A. Pipitone, G. Russo, R. Pirrone
A Framework to Induce Self-Regulation Through a Metacognitive Tutor

This work describes a new architectural framework for a metacognitive tutoring system that is aimed to stimulate self-regulatory behavior in the learner.

M. Breaban, H. Luchian
A unifying criterion for unsupervised clustering and feature selection

This work introduces an objective function for unsupervised clustering able to guide the search for significant features and optimal partitions.

A. Pipitone, R. Pirrone
A framework for automatic semantic annotation of Wikipedia articles

This paper presents a hierarchical framework for automatic semantic annotation of plain text, with the goal of converting wiki pages into semantic wikis.

M. Raschip, H. Luchian
Using messy genetic algorithms for solving the winner determination problem

This study is about the application of messy genetic algorithms for the winner determination problem in the combinatorial auction realm.

S. Sorce, A. Augello, A. Santangelo, A. Gentile, A. Genco, S. Gaglio, G. Pilato
Interacting with Augmented Environments

This work describes a project that addresses two issues related to simplifying and broadening augmented environment access.

M. Breaban
Evolving Ensembles of Feature Subsets towards Optimal Feature Selection for Unsupervised and Semi-supervised Clustering

The work in unsupervised learning centered on clustering has been extended with new paradigms to address the demands raised by real-world problems.

C. A. Bentivoglio, D. Bonura, V. Cannella, S. Carletti, A. Pipitone, R. Pirrone, P. G. Rossi, G. Russo
Intelligent agents supporting user interactions within self regulated learning processes

The work describes an open and modular e-learning software platform to support highly cognitive tasks performed by the main actors of the learning process.

R. Pirrone, A. Pipitone, G. Russo
Semantic sense extraction from Wikipedia pages

This work describes a modality to access and to organize unstructured contents related to a particular topic coming from the access to Wikipedia pages

M. Raschip, C. Croitoru
A New Primal-Dual Genetic Algorithm: Case Study for the Winner Determination Problem

This novel evolutionary computing strategy uses linear programming duality information to help the search for optimum solutions of hard optimization problems.

D. Cascio, V. Chietri, F. Fauci, M. Iacomi, R. Ienzi, R. Magro, G. Raso, S. Sorce, M. Vasile Simone
Fast fourier transform recursive filtering for bilateral mammography comparison

This work describes a method to compare left and right mammographic views of the same patient as in CC and as MLO projection.

M. La Cascia, M. Morana, S. Sorce
Mobile Interface for Content-Based Image Management

This work presents a solution that allows mobile users to remotely access an automatic technique for personal photo album management.

M. Ionita, M. Breaban, C. Croitoru
Evolutionary Computation in Constraint Satisfaction

This chapter focuses on the combination of evolutionary computation (EC ) techniques and constraint satisfaction problems (CSPs).

M. Breaban
Optimized Ensembles for Clustering Noisy Data

This work integrates unsupervised feature selection with ensemble clustering in order to deliver more accurate data partitions.

R. Pirrone, V. Cannella, O. Gambino, A. Pipitone, G. Russo
WikiArt: An Ontology-based Information Retrieval System For Arts

This work presents WikiArt, a system able to integrate three different kinds of information sources: a database, a wiki, and an ontology.

G. Russo, R. Pirrone, A. Pipitone
Acquisition Of New Knowledge In TutorJ

This paper presents a methodology to acquire new knowledge in TutorJ using external information sources.

M. Breaban, H. Luchian
Unsupervised Feature Weighting with Multi Niche Crowding Genetic Algorithms

This work investigates feature weighting and selection in the context of unsupervised clustering.

M. Breaban, L. Alboaie, H. Luchian
Guiding Users within Trust Networks Using Swarm Algorithms

This work presents an evaluation system whose goal is to build a flexible and easy way to manage resources in a personalized manner.

S. Sorce, A. Augello, A. Santangelo, A. Genco, A. Gentile, S. Gaglio, G. Pilato
An RFID Framework for Multimodal Service Provision

This work uses RFID technology together with a conversational agent in order to implement a multimodal information retrieval service we call sensor mesh.

S. Sorce, P. Raccuglia, A. Genco
Embedding the Remote Application Control: Visual API for PDA Programming

This work discusses the development of a new set of Visual API to embed a remote application control within an application running on a PDA and vice-versa.

A. Gentile, A. Santangelo, S. Sorce, A. Augello, G. Pilato, A. Genco, S. Gaglio
Exploiting multimodality for intelligent mobile access to pervasive services in cultural heritage sites

This work is about the role of multimodality in intelligent, mobile guides for cultural heritage environments.

R. Magro, D. Cascio, F. Fauci, L. Lo Presti, G. Raso, R. Ienzi, M. Glorioso, M. Iacomi, M. Vasile, S. Sorce
A Method to Reduce the FP/imm Number Through CC and MLO Views Comparison in Mammographic Images

This work describes a method to reduce the FP/imm number through CC and MLO mammographic views comparison of the same patient.

M. Breaban, S. Luchian
Shaping up Clusters with PSO

This work describes a method for enhancing the performance of clustering algorithms, exploiting Particle Swarm Optimization techniques.

E. Ardizzone, O. Gambino, A. Genco, R. Pirrone, S. Sorce
Pervasive Access to MRI Bias Artifact Suppression Service on a Grid

This work aims at making the E2D-HUM algorithm, used to correct MRI bias artifacts, available as a service on a grid infrastructure.

A. Genco, S. Sorce, Cono Ferrarotto, R. Gallea, A. Gentile, S.Impastato, M. Morana
A Java-based Wrapper for Wireless Communications

SmartTraffic is a Java-based communication wrapper to allow programmers to seamlessly use TCP or UDP protocols over Bluetooth or any IP-based wireless network.

A. Genco, S. Sorce, R. Messineo, P. Raccuglia
PDA – Remote Display Interaction Framework

This work discusses the design of a PDA-driven remote display control system which was designed for a pervasive computing scenario.

A. Santangelo, A. Augello, S. Sorce, G. Pilato, A. Gentile, A. Genco, S. Gaglio
A Virtual Shopper Customer Assistant in Pervasive Environments

This work proposes a smart, human-like PDA-based personal shopper assistant that is able to understand user needs through a natural language interaction.

S. Sorce, F. Cinquegrani, S. Anzalone, D. Caccìa, A. Gentile. A. Genco
A Dynamic System for Personal Communications: the Opportunistic Chat

This work proposes a system for an "Opportunistic Chat", allowing users to exchange messages over Bluetooth and/or TCP/IP connections.

S. Sorce, A. Augello, A. Santangelo, G. Pilato, A. Gentile, A. Genco, S. Gaglio
A Multimodal Guide for the Augmented Campus

This work discusses a user-friendly, multi-modal guide system for pervasive context-aware service provision within augmented environments.

M. Breaban, M. Ionita, C. Croitoru
A New PSO Approach to Constraint Satisfaction

This article introduces a new scheme for solving the general max constraint satisfaction problem based on Particle Swarm Optimization.

A. Augello, A. Santangelo, S. Sorce, G. Pilato, A. Gentile, A. Genco, S. Gaglio
A Multimodal Interaction Guide for Pervasive Services Access

This work illustrates a pervasive, multimodal virtual guide for a cultural heritage site tour.

M. Ionita, C. Croitoru, M. Breaban
Incorporating inference into evolutionary algorithms for Max-CSP

This work presents a simple way of combining inference with stochastic search for solving constraint satisfaction problems.

M. Ionita, M. Breaban, C. Croitoru
A new scheme of using inference inside evolutionary computation techniques to solve CSPs

This work presents a general scheme based on a genetic algorithm and the particle swarm optimization heuristic to solve constraint satisfaction problems.

A. Genco, S. Sorce, E. Varrica
Combined People Position and Compass Detection for Context-aware Service Provision

This work discusses a novel technique for user identification and position sensing in augmented reality by the use of RFID tags and cameras.

A. Genco, S. Sorce, G. Reina, G. Santoro
An Agent-Based Service Network for Personal Mobile Devices

The Agent Network for Bluetooth Devices is a system that uses personal mobile devices to supply people with ad hoc information and high-level services.

A. Genco, S. Sorce, G. Reina, G. Santoro, R. Messineo, R. Raccuglia, L. Lo vecchio, G. Di Stefano
An Augmented Campus Design for Context-aware Service Provision

This work describes a multi-modal system for pervasive context-aware service provision, allowing user interaction by means of PDAs or smartphones.

M. Ionita, H. Luchian
Two Problem Independent Methods for Generating Initial Solutions

The aim of this work is to present two heuristics vaguely inspired from the evolution of star systems.

A. Genco, S. Sorce, G. Scelfo
Bluetooth Base Station Minimal Deployment for High Definition Positioning

This work describes a novel approach to the problem of arranging a Bluetooth based positioning system capable of accurately providing people coordinates.

M. Breaban, H. Luchian
PSO under an adaptive scheme

This work presents an attempt to transform particle swarm optimization (PSO) into a self-adaptive algorithm based on specific swarm-inspired operators.

F. Agostaro, A. Genco, S. Sorce
A Collaborative Environment for Service Providing in Cultural Heritage Sites

This work describes a model which can be used to describe hybrid entities in an augmented reality environment.

F. Agostaro, A. Genco, S. Sorce
Mobile Agents Application Fields

This work discusses three mobile agent application fields: parallel and distributed computing, data mining and information retrieval, and networking.

F. Agostaro, A. Chiello, A. Genco, S. Sorce
Mobile agents and grid computing

This work describes how mobile agents can serve as an effective solution for grid service provision.

F. Agostaro, A. Genco, S. Sorce
Mobile Agents, Globus and Resource Discovery

This work discusses grid technology and some related problem, providing also an overview of grids, in terms of application fields and required protocols.

F. Agostaro, A. Genco, S. Sorce
A Mobile Agent Tool for Resource Discovery

This work discusses a mobile agent based tool for arranging communities whose members want to share computing resources.

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