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ORCIDEAIS 2020: Bari, Italy
- 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2020, Bari, Italy, May 27-29, 2020. IEEE 2020, ISBN 978-1-7281-4384-2
- Stefano Ferilli
:
Incremental Declarative Process Mining with WoMan. 1-8 - Pasquale Ardimento, Costantino Mele:
Using BERT to Predict Bug-Fixing Time. 1-7 - Vincenzo Dentamaro, Donato Impedovo, Giuseppe Pirlo, Alessandro Massaro:
Vertex Feature Classification (VFC). 1-8 - Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile:
Malware Phylogeny Analysis using Data-Aware Declarative Process Mining. 1-8 - Paulo Vitor de Campos Souza, Augusto Junio Guimarães, Thiago Silva Rezende, Vanessa Souza Araujo, Luiz Antônio F. do Nascimento, Lucas Oliveira Batista:
An Intelligent Hybrid Model for the Construction of Expert Systems in Malware Detection. 1-8 - Michela Fazzolari, Manuel Pratelli, Fabio Martinelli, Marinella Petrocchi:
Emotions and Interests of Evolving Twitter Bots. 1-8 - Andrea Pazienza, Roberto Anglani, Giulio Mallardi, Corrado Fasciano, Pietro Noviello, Corrado Tatulli, Felice Vitulano:
Adaptive Critical Care Intervention in the Internet of Medical Things. 1-8 - Alessio Ferone, Antonio Maratea:
Decoy Meta-Clustering Through Rough Graded Possibilistic C-Medoids. 1-7 - Gabriella Casalino, Gennaro Vessio, Arianna Consiglio:
Evaluation of Cognitive Impairment in Pediatric Multiple Sclerosis with Machine Learning: An Exploratory Study of miRNA Expressions. 1-6 - Antonio Velez-Estevez, Pablo García-Sánchez, José Antonio Moral-Muñoz, Manuel J. Cobo:
Thematical and Impact Differences Between National and International Collaboration on Artificial Intelligence Research. 1-8 - Stefano Rovetta, Zied Mnasri, Francesco Masulli:
Detection of Hazardous Road Events From Audio Streams: An Ensemble Outlier Detection Approach. 1-6 - Carmelo Ardito, Francesco Bellifemine, Tommaso Di Noia, Domenico Lofù, Giulio Mallardi:
A Proposal of Case-Based Approach to Clinical Pathway Modeling Support. 1-6 - Berardina De Carolis, Francesco Ladogana, Nicola Macchiarulo:
YOLO TrashNet: Garbage Detection in Video Streams. 1-7 - Yongquan Xie, Yi Lu Murphey:
Unsupervised Driver Workload Learning through Domain Adaptation from Temporal Signals. 1-8 - Annalisa Appice, Pasquale Ardimento, Donato Malerba, Giuseppe Modugno, Diego Marra, Marco Mottola:
Training in a Virtual Learning Environment: A Process Mining Approach. 1-8 - Estrella Lucena-Sánchez, Fernando Jiménez, Guido Sciavicco, Joanna Kaminska:
Simple Versus Composed Temporal Lag Regression with Feature Selection, with an Application to Air Quality Modeling. 1-8 - Moritz Heusinger, Christoph Raab, Frank-Michael Schleif:
Analyzing Dynamic Social Media Data via Random Projection - A New Challenge for Stream Classifiers. 1-8 - Suela Maxhelaku, Alda Kika:
Implementation of SPA in Radiology Information System. 1-5 - Giulia Slavic, Damian Campo, Mohamad Baydoun, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni:
Anomaly Detection in Video Data Based on Probabilistic Latent Space Models. 1-8 - Leticia Decker, Daniel F. Leite, Fabio Viola, Daniele Bonacorsi:
Comparison of Evolving Granular Classifiers applied to Anomaly Detection for Predictive Maintenance in Computing Centers. 1-8 - Vito Bellini, Giovanni Maria Biancofiore, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci, Claudio Pomo:
GUapp: A Conversational Agent for Job Recommendation for the Italian Public Administration. 1-7 - Antonella Falini, Graziano Castellano, Cristiano Tamborrino, Francesca Mazzia, Rosa Maria Mininni, Annalisa Appice, Donato Malerba:
Saliency Detection for Hyperspectral Images via Sparse-Non Negative-Matrix-Factorization and novel Distance Measures*. 1-8 - Koji Kashihara:
Iris Recognition for Biometrics Based on CNN with Super-resolution GAN. 1-6 - Carmen De Maio, Giuseppe Fenza, Mariacristina Gallo, Vincenzo Loia, Alberto Volpe:
Cross-relating heterogeneous Text Streams for Credibility Assessment. 1-8 - Vincenzo Dentamaro, Donato Impedovo, Giuseppe Pirlo, Giacomo Abbattista, Vincenzo Gattulli:
Double Deep Q Network with In-Parallel Experience Generator. 1-8 - Alessandro Bondielli, Pietro Ducange, Francesco Marcelloni:
Exploiting Categorization of Online News for Profiling City Areas. 1-8 - Karine Ip, Abhijith Asok, Yijia Xu, Duc Le, Natalie Mionis, Roman Batoukov:
ML-Assisted Monitoring and Characterization of IoT Sensor Networks. 1-8 - Francesco Marchetti, Fabio De Martino, Marie Shamseddin, Stefano De Marchi, Cathrin Brisken:
Variably Scaled Kernels Improve Classification of Hormonally-Treated Patient-Derived Xenografts. 1-6 - Cristina Gena, Claudio Mattutino, Gianluca Perosino, Massimo Trainito, Chiara Vaudano, Davide Cellie:
Design and Development of a Social, Educational and Affective Robot. 1-8 - Ayad Al-Mahturi, Fendy Santoso, Matthew A. Garratt, Sreenatha G. Anavatti:
A Simplified Model-Free Self-Evolving TS Fuzzy Controller for Nonlinear Systems with Uncertainties. 1-6 - Charles Aguiar, Daniel F. Leite:
Unsupervised Fuzzy eIX: Evolving Internal-eXternal Fuzzy Clustering. 1-8 - Gabriella Casalino, Monika Dominiak, Francesco Galetta, Katarzyna Kaczmarek-Majer:
Incremental Semi-Supervised Fuzzy C-Means for Bipolar Disorder Episode Prediction. 1-8 - Gabriella Casalino, Riccardo Grassi, Marco Iannotta, Vincenzo Pasquadibisceglie, Gianluca Zaza:
A Hierarchical Fuzzy System for Risk Assessment of Cardiovascular Disease. 1-7 - Edwin Lughofer, Mahardhika Pratama:
Online Sequential Ensembling of Fuzzy Systems. 1-10 - A. Mazouz, Christopher P. Bridges:
Automated Offline Design-Space Exploration and Online Design Reconfiguration for CNNs. 1-9 - Andrea Iovine, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro:
Humanoid Robots and Conversational Recommender Systems: a Preliminary Study. 1-7 - Giuseppe Fenza, Mariacristina Gallo, Vincenzo Loia, Domenico Marino, Francesco Orciuoli:
A Cognitive Approach based on the Actionable Knowledge Graph for supporting Maintenance Operations. 1-7 - Marco Giuseppe de Pinto, Marco Polignano, Pasquale Lops, Giovanni Semeraro:
Emotions Understanding Model from Spoken Language using Deep Neural Networks and Mel-Frequency Cepstral Coefficients. 1-5 - Choiru Za'in, Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Eric Pardede:
Scalable Teacher-Forcing Networks under Spark Environments for Large-Scale Streaming Problems. 1-8 - Edwin Lughofer:
Variants of Recursive Consequent Parameters Learning in Evolving Neuro-Fuzzy Systems. 1-10 - José Antonio Iglesias Martinez, María Paz Sesmero Lorente, Elena Magán López, Agapito Ledezma Espino, Araceli Sanchis de Miguel:
A Novel Evolving Ensemble Approach Based on Bootstrapping and Dynamic Selection of Diverse Learners. 1-8 - Alessandro Balestrucci, Rocco De Nicola:
Credulous Users and Fake News: a Real Case Study on the Propagation in Twitter. 1-8 - Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta:
Deep Learning-Based Adaptive Image Compression System for a Real-World Scenario. 1-8
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