| Nome |
# |
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A MapReduce solution for associative classification of big data, file e0d6c927-e684-fcf8-e053-d805fe0aa794
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1294
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A new approach to fuzzy random forest generation, file e0d6c927-e683-fcf8-e053-d805fe0aa794
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1220
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A survey on fake news and rumour detection techniques, file e0d6c930-1513-fcf8-e053-d805fe0aa794
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849
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Monitoring the Public Opinion about the Vaccination Topic from Tweets Analysis, file e0d6c92b-3a93-fcf8-e053-d805fe0aa794
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783
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Real-Time Detection of Traffic from Twitter Stream Analysis, file e0d6c92f-ff77-fcf8-e053-d805fe0aa794
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438
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Detection of traffic congestion and incidents from GPS trace analysis, file e0d6c930-1356-fcf8-e053-d805fe0aa794
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364
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On the influence of feature selection in fuzzy rule-based regression model generation, file e0d6c927-d9dc-fcf8-e053-d805fe0aa794
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302
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null, file e0d6c927-e26c-fcf8-e053-d805fe0aa794
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298
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null, file e0d6c927-e2c5-fcf8-e053-d805fe0aa794
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293
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null, file e0d6c927-e480-fcf8-e053-d805fe0aa794
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257
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null, file e0d6c928-8b90-fcf8-e053-d805fe0aa794
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209
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A Distributed Fuzzy Associative Classifier for Big Data, file e0d6c92b-5e1f-fcf8-e053-d805fe0aa794
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169
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Multi-objective evolutionary design of granular rule-based classifiers, file e0d6c927-d9e5-fcf8-e053-d805fe0aa794
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134
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Evolutionary fuzzy systems for explainable artificial intelligence: Why, when, what for, and where to?, file e0d6c930-1515-fcf8-e053-d805fe0aa794
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110
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Optimizing Partition Granularity, Membership Function Parameters, and Rule Bases of Fuzzy Classifiers for Big Data by a Multi-objective Evolutionary Approach, file e0d6c930-8613-fcf8-e053-d805fe0aa794
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109
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Comparing ensemble strategies for deep learning: An application to facial expression recognition, file e0d6c92d-7c1b-fcf8-e053-d805fe0aa794
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89
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null, file e0d6c92e-b041-fcf8-e053-d805fe0aa794
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69
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Towards Trustworthy AI for QoE prediction in B5G/6G Networks, file e0d6c932-450c-fcf8-e053-d805fe0aa794
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59
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Multiobjective Evolutionary Optimization of Type-2 Fuzzy Rule-Based Systems for Financial Data Classification, file e0d6c930-1354-fcf8-e053-d805fe0aa794
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51
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An Approach to Federated Learning of Explainable Fuzzy Regression Models, file e0d6c932-4025-fcf8-e053-d805fe0aa794
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47
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UNIPI-NLE at CheckThat! 2020: Approaching Fact Checking from a Sentence Similarity Perspective Through the Lens of Transformers, file e0d6c931-4a64-fcf8-e053-d805fe0aa794
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43
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On Distributed Fuzzy Decision Trees for Big Data, file e0d6c930-36f2-fcf8-e053-d805fe0aa794
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40
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A distributed approach to multi-objective evolutionary generation of fuzzy rule-based classifiers from big data, file e0d6c930-1ee6-fcf8-e053-d805fe0aa794
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21
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An analysis of boosted ensembles of binary fuzzy decision trees, file e0d6c92e-e9da-fcf8-e053-d805fe0aa794
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20
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Responsible Artificial Intelligence as a Driver of Innovation in Society and Industry, file e0d6c932-4a34-fcf8-e053-d805fe0aa794
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20
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A News-based Framework for Uncovering and Tracking City Area Profiles: Assessment in Covid-19 Setting, file e0d6c932-2693-fcf8-e053-d805fe0aa794
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15
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A novel associative classification model based on a fuzzy frequent pattern mining algorithm, file e0d6c930-3770-fcf8-e053-d805fe0aa794
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14
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Twitter as a sentinel tool to monitor public opinion on vaccination: an opinion mining analysis from September 2016 to August 2017 in Italy, file e0d6c92f-83d1-fcf8-e053-d805fe0aa794
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12
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A System for Multi-Passenger Urban Ridesharing Recommendations with Ordered Multiple Stops, file e0d6c92e-7397-fcf8-e053-d805fe0aa794
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11
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Solving the Environmental Economic Dispatch Problem with Prohibited Operating Zones in Microgrids using NSGA-II and TOPSIS, file e0d6c932-4783-fcf8-e053-d805fe0aa794
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11
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A Novel Approach to Fuzzy Clustering based on a Dissimilarity Relation extracted from Data using a TS System, file e0d6c931-c918-fcf8-e053-d805fe0aa794
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10
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Online Monitoring of Stance from Tweets: The case of Green Pass in Italy, file e0d6c932-450a-fcf8-e053-d805fe0aa794
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9
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Path Clustering Based on a Novel Dissimilarity Function for Ride-Sharing Recommenders, file e0d6c92a-c545-fcf8-e053-d805fe0aa794
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7
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Increasing Accuracy and Explainability in Fuzzy Regression Trees: An Experimental Analysis, file e0d6c932-2bf6-fcf8-e053-d805fe0aa794
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7
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Monitoring Negative Opinion about Vaccines from Tweets Analysis, file e0d6c92c-6d71-fcf8-e053-d805fe0aa794
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5
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null, file e0d6c92d-1f0a-fcf8-e053-d805fe0aa794
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5
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An overview of recent distributed algorithms for learning fuzzy models in Big Data classification, file e0d6c92f-5c6d-fcf8-e053-d805fe0aa794
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5
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Multi-objective evolutionary design of granular rule-based classifiers, file e0d6c927-e486-fcf8-e053-d805fe0aa794
|
4
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A MapReduce-based fuzzy associative classifier for big data, file e0d6c92a-c3d6-fcf8-e053-d805fe0aa794
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4
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Incident Detection by Spatiotemporal Analysis of GPS Data, file e0d6c92a-c3dd-fcf8-e053-d805fe0aa794
|
4
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null, file e0d6c92d-20d7-fcf8-e053-d805fe0aa794
|
4
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Monitoring the Public Opinion about the Vaccination Topic from Tweets Analysis, file e0d6c930-160f-fcf8-e053-d805fe0aa794
|
4
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null, file e0d6c92c-24e8-fcf8-e053-d805fe0aa794
|
3
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On Distributed Fuzzy Decision Trees for Big Data, file e0d6c92d-17d4-fcf8-e053-d805fe0aa794
|
3
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Integration of web-scraped data in cpm tools: The case of project Sibilla, file e0d6c92f-2f9d-fcf8-e053-d805fe0aa794
|
3
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Real-Time Detection of Traffic from Twitter Stream Analysis, file e0d6c930-1f54-fcf8-e053-d805fe0aa794
|
3
|
|
On the influence of feature selection in fuzzy rule-based regression model generation, file e0d6c930-1f59-fcf8-e053-d805fe0aa794
|
3
|
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A novel associative classification model based on a fuzzy frequent pattern mining algorithm, file e0d6c926-44c3-fcf8-e053-d805fe0aa794
|
2
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|
A Novel Approach based on Finite State Machines with Fuzzy Transitions for Non-Intrusive Home Appliance Monitoring, file e0d6c926-457f-fcf8-e053-d805fe0aa794
|
2
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null, file e0d6c927-d669-fcf8-e053-d805fe0aa794
|
2
|
|
Evolutionary fuzzy systems for explainable artificial intelligence: Why, when, what for, and where to?, file e0d6c92c-f8df-fcf8-e053-d805fe0aa794
|
2
|
|
Building efficient fuzzy regression trees for large scale and high dimensional problems, file e0d6c92d-17d1-fcf8-e053-d805fe0aa794
|
2
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A distributed approach to multi-objective evolutionary generation of fuzzy rule-based classifiers from big data, file e0d6c92d-198e-fcf8-e053-d805fe0aa794
|
2
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null, file e0d6c92d-20e4-fcf8-e053-d805fe0aa794
|
2
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Detection of traffic congestion and incidents from GPS trace analysis, file e0d6c92d-29b8-fcf8-e053-d805fe0aa794
|
2
|
|
A survey on fake news and rumour detection techniques, file e0d6c92e-49cd-fcf8-e053-d805fe0aa794
|
2
|
|
Implicitly Distributed Fuzzy Random Forests, file e0d6c92f-a123-fcf8-e053-d805fe0aa794
|
2
|
|
A System for Multi-Passenger Urban Ridesharing Recommendations with Ordered Multiple Stops, file e0d6c930-321d-fcf8-e053-d805fe0aa794
|
2
|
|
A MapReduce solution for associative classification of big data, file e0d6c930-c6f6-fcf8-e053-d805fe0aa794
|
2
|
|
Autonomic Tracing of Production Processes with Mobile and Agent-based Computing, file e0d6c926-0e2c-fcf8-e053-d805fe0aa794
|
1
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|
An Efficient Model-Based Methodology for Developing Device-Independent Mobile Applications, file e0d6c926-13b2-fcf8-e053-d805fe0aa794
|
1
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|
An electronic nose for odour annoyance assessment, file e0d6c926-1f6b-fcf8-e053-d805fe0aa794
|
1
|
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A study on the application of instance selection techniques in genetic fuzzy rule-based classification systems: Accuracy-complexity trade-off, file e0d6c926-425f-fcf8-e053-d805fe0aa794
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1
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Adaptive Lossless Entropy Compressors for Tiny IoT Devices, file e0d6c926-4487-fcf8-e053-d805fe0aa794
|
1
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An experimental study on evolutionary fuzzy classifiers designed for managing imbalanced datasets, file e0d6c926-44c0-fcf8-e053-d805fe0aa794
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1
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A fast and efficient multi-objective evolutionary learning scheme for fuzzy rule-based classifiers, file e0d6c926-44c1-fcf8-e053-d805fe0aa794
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1
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U-Sense’, A Cooperative Sensing System for Monitoring Air Quality in Urban Areas, file e0d6c926-44c2-fcf8-e053-d805fe0aa794
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1
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Low-Effort Support to Efficient Urban Parking in a Smart City Perspective, file e0d6c928-4b76-fcf8-e053-d805fe0aa794
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1
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Multiobjective Evolutionary Optimization of Type-2 Fuzzy Rule-Based Systems for Financial Data Classification, file e0d6c92f-c3ed-fcf8-e053-d805fe0aa794
|
1
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A Distributed Fuzzy Associative Classifier for Big Data, file e0d6c930-24f0-fcf8-e053-d805fe0aa794
|
1
|
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Comparing ensemble strategies for deep learning: An application to facial expression recognition, file e0d6c930-b9f1-fcf8-e053-d805fe0aa794
|
1
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|
Optimizing Partition Granularity, Membership Function Parameters, and Rule Bases of Fuzzy Classifiers for Big Data by a Multi-objective Evolutionary Approach, file e0d6c930-c8bb-fcf8-e053-d805fe0aa794
|
1
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| Totale |
7471 |