Search results for: Giovanni Acampora

Items from 1 to 20 out of 78 results

article

Quantum machine intelligence

Giovanni Acampora

Quantum Machine Intelligence > 2019 > 1 > 1-2 > 1-3

article

Conference Report on 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017) [Conference Reports]

Giovanni Acampora, Bruno Siciliano, Hani Hagras, Francisco Herrera

IEEE Computational Intelligence Magazine > 2017 > 12 > 4 > 6 - 8

Presents information on the 2017 IEEE International Conference on Fuzzy Systems.

chapter

A comparison of fuzzy approaches for training a humanoid robotic football player

Giovanni Acampora, Alessandro Di Nuovo, Bruno Siciliano, Autilia Vitiello

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) > 1 - 6

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

Fuzzy Systems are an efficient instrument to create efficient and transparent models of the behavior of complex dynamic systems such as autonomous humanoid robots. The human interpretability of these models is particularly significant when it is applied to the cognitive robotics research, in which the models are designed to study the behaviors and produce a better understanding of the underlying processes...

chapter

A fuzzy-based autoscaling approach for process centered cloud systems

Giovanni Acampora, Mario Luca Bernardi, Marta Cimitile, Genoveffa Tortora, more

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) > 1 - 8

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

In the last years, the growing adoption of cloud-based multi-tiers systems has strongly increased the levels of resource sharing among companies, improving the enterprise efficiency, thanks to a refined business dynamism and a rapid decrease in costs. However, in spite of their advantages, this new business model highlights the emergence of new computational approaches aimed at the distribution and...

chapter

A neuro-fuzzy-Bayesian approach for the adaptive control of robot proxemics behavior

Autilia Vitiello, Giovanni Acampora, Mariacarla Staffa, Bruno Siciliano, more

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) > 1 - 6

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

A robotic system that is designed to coexist with humans has to adapt its behavioral and social interaction parameters not only with respect to the task it is supposed to accomplish, but also with respect to the human being it is interacting with by profiling her habits, preferences, and personality. This is particularly relevant in the domain of assistive robotics where the behavioral adaptability...

chapter

Analyzing social networks activities to deploy entertainment services in HRI-based smart environments

Pasquale D'Alterio, Giovanni Acampora, Silvia Rossi

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) > 1 - 6

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

Smart home systems have become increasingly widespread in the last few years. State-of-the-art smart home architectures concentrate on modeling the user physical behavior and on discovering possible behavioral pattern, while they provide very little personalization of the services based on the individual cognitive characteristics. In this direction, the analysis of the user activity on social networks...

chapter

Extending IEEE Std 1855 for designing Arduino™-based fuzzy systems

Giovanni Acampora, Autilia Vitiello

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) > 1 - 6

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

IYEEE Std 1855 is the first IEEE standard technology developed in the area of fuzzy logic. Its main characteristic is the interoperability, a design feature that enables system designers to develop fuzzy inference engines without taking into account the hardware/software constraints imposed by the specific architecture on which the system will be deployed. Thanks to this feature, a fuzzy system can...

chapter

An adaptive neuro-fuzzy inference system for the qualitative study of perceptual prominence in linguistics

Autilia Vitiello, Giovanni Acampora, Francesco Cutugno, Petra Wagner, more

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) > 1 - 6

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

This paper explores the applications of fuzzy logic inference systems as an instrument to perform linguistic analysis in the domain of prosodic prominence. Understanding how acoustic features interact to make a linguistic unit be perceived as more relevant than the surrounding ones is generally needed to study the cognitive processes needed for speech understanding. It also has technological applications...

article

IEEE 1849: The XES Standard: The Second IEEE Standard Sponsored by IEEE Computational Intelligence Society [Society Briefs]

Giovanni Acampora, Autilia Vitiello, Bruno Di Stefano, Wil van der Aalst, more

IEEE Computational Intelligence Magazine > 2017 > 12 > 2 > 4 - 8

article

Guest Editorial Cognitive Agents and Robots for Human-Centered Systems

Alessandro Di Nuovo, Giovanni Acampora, Matthew Schlesinger

IEEE Transactions on Cognitive and Developmental Systems > 2017 > 9 > 1 > 1 - 4

A current challenge for artificial cognitive systems is to acquire the capability to freely interact with humans in such a way that the burden of learning and adaptation lies with the machine and not with the human. This special issue presents a variety of recent developments in artificial cognitive agents, embedded in human-centric environments, with a particular focus on robotic applications. It...

chapter

Comparison of Multi-objective Evolutionary Algorithms for prototype selection in nearest neighbor classification

Giovanni Acampora, Genoveffa Tortora, Autilia Vitiello

2016 IEEE Symposium Series on Computational Intelligence (SSCI) > 1 - 8

2016 IEEE Symposium Series on Computational Intelligence (SSCI)

The nearest neighbor classifiers are popular supervised classifiers due to their ease of use and good performance. However, in spite of their success, they suffer from some defects such as high storage requirements, high computational complexity, and low noise tolerance. In order to address these drawbacks, prototype selection has been studied as a technique to reduce the size of training datasets...

article

IEEE 1855TM: The First IEEE Standard Sponsored by IEEE Computational Intelligence Society [Society Briefs]

Giovanni Acampora, Bruno Di Stefano, Autilia Vitiello

IEEE Computational Intelligence Magazine > 2016 > 11 > 4 > 4 - 6

chapter

Applying SPEA2 to prototype selection for nearest neighbor classification

Giovanni Acampora, Genoveffa Tortora, Autilia Vitiello

2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC) > 3924 - 3929

2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The k-nearest neighbor (k-NN) algorithm is one of the most well-known supervised classifiers due to its ease of use and good performance. However, in spite of its popularity, k-NN suffers from some drawbacks such as high computational complexity, high storage requirements, and low noise tolerance. Prototype selection is a successful technique aimed at addressing aforementioned issues by reducing the...

article

Bloodstain pattern analysis as optimisation problem

Autilia Vitiello, Ciro Di Nunzio, Luciano Garofano, Maurizio Saliva, more

Forensic Science International > 2016 > 266 > C > e79-e85

Bloodstain pattern analysis (BPA) is an approach to support forensic investigators in reconstructing the dynamics of bloody crimes. This forensic technique has been successfully applied in solving heinous and complex murder cases around the world and, recently, computer-based BPA approaches have been designed to better support investigators both in terms of speed and quality of analysis. However,...

chapter

Domain-specific Relation Extraction: using distant supervision Machine Learning

Abduladem Aljamel, Taha Osman, Giovanni Acampora

2015 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K) > 1 > 92 - 103

2015 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K)

The increasing accessibility and availability of online data provides a valuable knowledge source for information analysis and decision-making processes. In this paper we argue that extracting information from this data is better guided by domain knowledge of the targeted use-case and investigate the integration of a knowledge-driven approach with Machine Learning techniques in order to improve the...

chapter

A search group algorithm for optimal voltage regulation in power systems

Giovanni Acampora, Davide Caruso, Alfredo Vaccaro, Autilia Vitiello

2016 IEEE Congress on Evolutionary Computation (CEC) > 3662 - 3669

2016 IEEE Congress on Evolutionary Computation (CEC)

Optimal Reactive Power Flow (ORPF) is one of the most fundamental and widely used tools in modern smart grids for improving the power system performance in terms of both operation cost and quality of service. This result is obtained by identifying the optimal set points of the voltage controllers, which improve the bus voltage profiles, minimise the regulation costs, and satisfy the power equipment...

chapter

jMeme: A Java library for designing Competent Memetic Algorithms

Giovanni Acampora, Autilia Vitiello

2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) > 386 - 393

2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

Memetic Algorithms (MAs) are a family of metaheuristics which combines global search approaches with local search techniques. Thanks to this hybridization, MAs have emerged as a powerful tool for tackling hard optimization problems in a more efficient way than their ‘no hybrid’ counterparts. However, despite the success of MAs, it is still vital to note that the design of MAs raises a number of important...

article

A computational intelligence approach to efficiently predicting review ratings in e-commerce

Georgina Cosma, Giovanni Acampora

Applied Soft Computing > 2016 > 44 > C > 153-162

Sentiment analysis, also called opinion mining, is currently one of the most studied research fields which aims to analyse people's opinions. E-commerce websites allow users to share opinions about a product/service by providing textual reviews along with numerical ratings. These opinions greatly influence future consumer purchasing decisions. This paper introduces an innovative computational intelligence...

chapter

Hybrid Computational Intelligence for Ambient Intelligent Environments

Giovanni Acampora, Vincenzo Loia, Michele Nappi, Stefano Ricciardi

Lecture Notes in Computer Science > Advances in Web Intelligence > Case Studies > 26-31

This paper describes an agent-based ambient intelligence architecture able to deliver personalized services on the basis of physical and emotional user status captured from a set of biometric features. Abstract representation and management is achieved thanks to two markup languages, H2ML and FML, able to model behavioral as well as fuzzy control activities and to exploit distribution and concurrent...

chapter

Dynamic Services for Open Ambient Intelligence Systems

Giovanni Acampora, Vincenzo Loia

Studies in Fuzziness and Soft Computing > Soft Computing in Ontologies and Semantic Web > Fuzzy Logic in Ontologies and Semantic Web > 105-122

Ambient intelligence (AmI) [1] provides a wide-ranging vision on how the Information Society will evolve, since the goal is to conceive platforms for seamless delivery of services and applications making them effectively invisible to the user. This is possible by gathering best practices from Ubiquitous Computing, Ubiquitous Communication, and Intelligent User Friendly Interfaces areas. This...

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Keywords

MEMETICS (10)
COMPUTATIONAL MODELING (9)
FUZZY SYSTEMS (9)
OPTIMIZATION (9)
FUZZY LOGIC (8)
FUZZY MARKUP LANGUAGE (8)
AMBIENT INTELLIGENCE (7)
AUTOMATA (7)
ONTOLOGIES (7)
SOCIOLOGY (7)
BIOLOGICAL CELLS (6)
CLOCKS (6)
FUZZY CONTROL (6)
ADAPTIVE MEMETIC ALGORITHMS (5)
COMPUTATIONAL INTELLIGENCE (5)
CONTROL SYSTEMS (5)
DATA MINING (5)
EVOLUTIONARY COMPUTATION (5)
FUZZY COGNITIVE MAPS (5)
GENETIC ALGORITHMS (5)
MULTI-AGENT SYSTEMS (5)
STATISTICS (5)
ADAPTIVE SYSTEMS (4)
CONTEXT (4)
HUMANS (4)
MEMETIC ALGORITHMS (4)
ONTOLOGY ALIGNMENT (4)
SEMANTICS (4)
TIMED AUTOMATA (4)
ADAPTATION MODELS (3)
ALGORITHM DESIGN AND ANALYSIS (3)
COMPUTERS (3)
ELECTRONIC LEARNING (3)
FEATURE EXTRACTION (3)
GAMES (3)
MACHINE LEARNING (3)
ONTOLOGY (3)
SEMANTIC WEB (3)
TRAINING (3)
XML (3)
ART (2)
ARTIFICIAL INTELLIGENCE (2)
AUTOMATA THEORY (2)
BIOLOGICAL SYSTEM MODELING (2)
BLOODSTAIN PATTERN ANALYSIS (2)
CAMERAS (2)
CLUSTERING ALGORITHMS (2)
COMPUTER AIDED INSTRUCTION (2)
DATABASES (2)
E-LEARNING (2)
FUZZY INFERENCE (2)
FUZZY MARKUP LANGUAGE (FML) (2)
FUZZY SETS (2)
GENETICS (2)
HARDWARE (2)
INTERNET (2)
INTEROPERABILITY (2)
MATRIX DECOMPOSITION (2)
MEASUREMENT (2)
MEDICAL DIAGNOSTIC IMAGING (2)
MONITORING (2)
MULTIAGENT SYSTEMS (2)
MUSIC (2)
NATURAL LANGUAGE PROCESSING (2)
NEURAL COMPUTING (2)
NEURO-FUZZY SYSTEMS (2)
OBJECT ORIENTED MODELING (2)
ONTOLOGIES (ARTIFICIAL INTELLIGENCE) (2)
OPEN SYSTEMS (2)
PRAGMATICS (2)
PROPOSALS (2)
PROTOTYPES (2)
PSYCHOLOGY (2)
REACTIVE POWER (2)
SEMANTIC INTEROPERABILITY (2)
SMART ENVIRONMENTS (2)
SMART GRIDS (2)
SYSTEM DYNAMICS (2)
TIME SERIES ANALYSIS (2)
TIMED AUTOMATA BASED FUZZY CONTROLLER (2)
TIMED AUTOMATA BASED FUZZY CONTROLLERS (2)
UBIQUITOUS COMPUTING (2)
VARIABLE STRUCTURE SYSTEMS (2)
VECTORS (2)
VOLTAGE CONTROL (2)
∊-SVR (1)
ADAPTIVE E‐LEARNING (1)
ADAPTIVE FUZZY SYSTEMS (1)
ADDITIVES (1)
ADVANCED INTELLIGENT USER-FRIENDLY INTERFACES (1)
AGENT (1)
AMBIENT INTELLIGENCE (AMI) (1)
ANALYTICAL MODELS (1)
ANFIS (1)
ARTIFICIAL NEURAL NETWORKS (1)
AUGMENTED REALITY (1)
AUTHORISATION (1)
AUTOMATIC MUSIC COMPOSITION (1)
AUTONOMOUS DECISION (1)
AUTONOMOUS SYSTEMS (1)
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Elsevier (10)
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INFONA - science communication portal

Search results for: Giovanni Acampora

Quantum machine intelligence

Conference Report on 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017) [Conference Reports]

A comparison of fuzzy approaches for training a humanoid robotic football player

A fuzzy-based autoscaling approach for process centered cloud systems

A neuro-fuzzy-Bayesian approach for the adaptive control of robot proxemics behavior

Analyzing social networks activities to deploy entertainment services in HRI-based smart environments

Extending IEEE Std 1855 for designing Arduino™-based fuzzy systems

An adaptive neuro-fuzzy inference system for the qualitative study of perceptual prominence in linguistics

IEEE 1849: The XES Standard: The Second IEEE Standard Sponsored by IEEE Computational Intelligence Society [Society Briefs]

Guest Editorial Cognitive Agents and Robots for Human-Centered Systems

Comparison of Multi-objective Evolutionary Algorithms for prototype selection in nearest neighbor classification

IEEE 1855TM: The First IEEE Standard Sponsored by IEEE Computational Intelligence Society [Society Briefs]

Applying SPEA2 to prototype selection for nearest neighbor classification

Bloodstain pattern analysis as optimisation problem

Domain-specific Relation Extraction: using distant supervision Machine Learning

A search group algorithm for optimal voltage regulation in power systems

jMeme: A Java library for designing Competent Memetic Algorithms

A computational intelligence approach to efficiently predicting review ratings in e-commerce

Hybrid Computational Intelligence for Ambient Intelligent Environments

Dynamic Services for Open Ambient Intelligence Systems

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