| Nome |
# |
|
Clustering Analysis with Combination of Artificial Bee Colony Algorithm and k-Means Technique, file e2f56ed4-a3cd-3eaf-e053-3a05fe0a5d97
|
900
|
|
A Multidisciplinary Approach for the Development of Smart Distribution Networks, file e2f56ed7-ef7f-3eaf-e053-3a05fe0a5d97
|
778
|
|
G-CNV: A GPU-based tool for preparing data to detect CNVs with read-depth methods, file e2f56ed4-a820-3eaf-e053-3a05fe0a5d97
|
427
|
|
The Beneficial Role of Mobility for the Emergence of Innovation, file e2f56ed6-e239-3eaf-e053-3a05fe0a5d97
|
418
|
|
Removing duplicate reads using graphics processing units, file e2f56ed5-fcc1-3eaf-e053-3a05fe0a5d97
|
399
|
|
Phi-Delta-Diagrams: Software Implementation of a Visual Tool for Assessing Classifier and Feature Performance, file e2f56ed7-a03f-3eaf-e053-3a05fe0a5d97
|
329
|
|
Analysis of term roles along taxonomy nodes by adopting discriminant and characteristic capabilities, file e2f56ed6-0ffd-3eaf-e053-3a05fe0a5d97
|
280
|
|
Automated taxonomy building by adopting discriminant and characteristic capabilities, file e2f56ed5-fcc9-3eaf-e053-3a05fe0a5d97
|
277
|
|
A text classification framework based on optimized error correcting output code, file e2f56ed5-f8f2-3eaf-e053-3a05fe0a5d97
|
267
|
|
MASSP: A hybrid genetic-neural system for predicting protein secondary structure, file e2f56ed4-e2ac-3eaf-e053-3a05fe0a5d97
|
157
|
|
PACMAS: A Personalized, Adaptive, and Cooperative MultiAgent System Architecture, file e2f56ed4-e2a8-3eaf-e053-3a05fe0a5d97
|
143
|
|
BITS 2017: The annual meeting of the Italian Society of Bioinformatics, file e2f56ed7-b05c-3eaf-e053-3a05fe0a5d97
|
106
|
|
Experimenting Abstraction Mechanisms Through an Agent-Based Hierarchical Planner, file e2f56ed4-dd97-3eaf-e053-3a05fe0a5d97
|
73
|
|
Personalized Text Categorization Using a MultiAgent Architecture, file e2f56ed4-e2a6-3eaf-e053-3a05fe0a5d97
|
73
|
|
DHG: A System for Generating Macro-Operators from Static Domain Analysis, file e2f56ed4-e158-3eaf-e053-3a05fe0a5d97
|
71
|
|
A Parametric Hierarchical Planner for Experimenting Abstraction Techniques, file e2f56ed4-dd8f-3eaf-e053-3a05fe0a5d97
|
70
|
|
FunGenAgent: An Agent-Based Approach for Workflow Composition in Homology Functional Genomics, file e2f56ed4-ddfb-3eaf-e053-3a05fe0a5d97
|
63
|
|
Generating Abstractions from Static Domain Analysis, file e2f56ed4-df9b-3eaf-e053-3a05fe0a5d97
|
63
|
|
A Layered Architecture for Implementing Autonomous Planning Agents, file e2f56ed4-d9ac-3eaf-e053-3a05fe0a5d97
|
57
|
|
An Adaptive Approach for Planning in Dynamic Environments, file e2f56ed4-dd92-3eaf-e053-3a05fe0a5d97
|
57
|
|
Implementing Autonomous reactive Agents by using Active Objects, file e2f56ed4-e153-3eaf-e053-3a05fe0a5d97
|
55
|
|
Implementing Adaptive Capabilities on Agents that Act in a Dynamic Environment, file e2f56ed4-e147-3eaf-e053-3a05fe0a5d97
|
54
|
|
Using phidelta diagrams to discover relevant patterns in multilayer perceptrons, file e2f56eda-5dbd-3eaf-e053-3a05fe0a5d97
|
48
|
|
An Agent Approach to High Level Workflow Management in Functional Genomics, file e2f56ed4-deb0-3eaf-e053-3a05fe0a5d97
|
47
|
|
Using Autonomous Agents to Implement Avatars for a Computer Game. Utilizzazione di agenti autonomi per realizzare “avatar”
all’interno di un videogioco, file e2f56ed4-e151-3eaf-e053-3a05fe0a5d97
|
47
|
|
Building forests of local trees, file e2f56ed7-6d3f-3eaf-e053-3a05fe0a5d97
|
45
|
|
Automatic Generation of Macro-Operators from Static Domain Analysis, file e2f56ed4-e65e-3eaf-e053-3a05fe0a5d97
|
42
|
|
A Critical Look at the Abstraction Based on Macro-Operators, file e2f56ed4-dd8d-3eaf-e053-3a05fe0a5d97
|
27
|
|
Automatic Extraction and Classification of Bioinformatics Publications through a MultiAgent System, file e2f56ed4-dd8b-3eaf-e053-3a05fe0a5d97
|
18
|
|
A two-tiered 2D visual tool for assessing classifier performance, file e2f56ed7-a93a-3eaf-e053-3a05fe0a5d97
|
14
|
|
Assessing Feature Importance for Short-Term Prediction of Electricity Demand in Medium-Voltage Loads, file e2f56eda-9908-3eaf-e053-3a05fe0a5d97
|
13
|
|
Automatic Monitoring Cheese Ripeness Using Computer Vision and Artificial Intelligence, file cc3a75b9-7e5d-42c0-a697-ae4ca952e429
|
11
|
|
Devising novel performance measures for assessing the behavior of multilayer perceptrons trained on regression tasks, file 8f8c9e96-6951-4ed3-8233-1e5625c9859d
|
4
|
|
Clustering Analysis using Opposition-based API Algorithm, file e2f56ed4-deb9-3eaf-e053-3a05fe0a5d97
|
4
|
|
Using Artificial Neural Networks to Perform Feature Selection on Microarray Data, file 07c0fc58-e50c-41f5-9c4b-d1eead198c0c
|
3
|
|
A Soft-Voting Ensemble Classifier for Detecting Patients Affected by COVID-19, file 2e9faea9-d021-4cc5-8c82-3651b598756c
|
3
|
|
Framing Apache Spark in life sciences, file d436d30f-578a-4703-b4cc-094782b626d8
|
3
|
|
null, file e2f56ed3-c3c7-3eaf-e053-3a05fe0a5d97
|
3
|
|
Experimenting Multiresolution Analysis for Identifying Regions of Different Classification Complexity, file e2f56ed4-a490-3eaf-e053-3a05fe0a5d97
|
3
|
|
Learning Relational Concepts at Different Levels of Granularity, file e2f56ed4-e2aa-3eaf-e053-3a05fe0a5d97
|
3
|
|
Diagnosis and classification of systolic murmur in newborns, file e2f56ed5-fdd8-3eaf-e053-3a05fe0a5d97
|
3
|
|
A direct measure of discriminant and characteristic capability for classifier building and assessment, file e2f56ed4-aad9-3eaf-e053-3a05fe0a5d97
|
2
|
|
A comparative study of thresholding strategies in progressive filtering, file e2f56ed4-acc3-3eaf-e053-3a05fe0a5d97
|
2
|
|
RANKS: A flexible tool for node label ranking and classification in biological networks, file e2f56ed5-f81b-3eaf-e053-3a05fe0a5d97
|
2
|
|
Stopwords identification by means of characteristic and discriminant analysis, file e2f56ed5-f85d-3eaf-e053-3a05fe0a5d97
|
2
|
|
NewsVallum: Semantics-Aware Text and Image Processing for Fake News Detection system, file e2f56ed7-a92e-3eaf-e053-3a05fe0a5d97
|
2
|
|
SSP2: A Novel Software Architecture for Predicting Protein Secondary Structure, file e2f56ed3-88de-3eaf-e053-3a05fe0a5d97
|
1
|
|
Multiagent systems and information retrieval our experience with X.MAS, file e2f56ed3-9774-3eaf-e053-3a05fe0a5d97
|
1
|
|
A tool for mapping Single Nucleotide Polymorphisms using Graphics Processing Units, file e2f56ed3-9e5a-3eaf-e053-3a05fe0a5d97
|
1
|
|
GPU-BSM: A GPU-Based Tool to Map Bisulfite-Treated Reads, file e2f56ed3-a159-3eaf-e053-3a05fe0a5d97
|
1
|
|
A hybrid genetic-neural system for predicting protein secondary structure, file e2f56ed3-a7d2-3eaf-e053-3a05fe0a5d97
|
1
|
|
Protein Secondary Structure Prediction through a Cooperative MultiAgent Learning Approach, file e2f56ed3-a8a4-3eaf-e053-3a05fe0a5d97
|
1
|
|
WIKI.MAS: A MultiAgent Information Retrieval System for Classifying Wikipedia Contents, file e2f56ed3-b5b5-3eaf-e053-3a05fe0a5d97
|
1
|
|
A Multi-Agent System for Protein Secondary Structure Prediction, file e2f56ed3-b88d-3eaf-e053-3a05fe0a5d97
|
1
|
|
A Novel Semantic Approach to Document Collections, file e2f56ed3-be69-3eaf-e053-3a05fe0a5d97
|
1
|
|
Modelling Progressive Filtering, file e2f56ed4-631f-3eaf-e053-3a05fe0a5d97
|
1
|
|
CUDA-quicksort: An improved GPU-based implementation of quicksort, file e2f56ed4-d9b2-3eaf-e053-3a05fe0a5d97
|
1
|
|
A Flexible Software Development Process for Emergent Organizations, file e2f56ed4-dc6a-3eaf-e053-3a05fe0a5d97
|
1
|
|
MODE: A Java-like Environment for Experimenting Mobility Policies, file e2f56ed4-deab-3eaf-e053-3a05fe0a5d97
|
1
|
|
An Extension to PDDL for Hierarchical Planning, file e2f56ed4-e65b-3eaf-e053-3a05fe0a5d97
|
1
|
|
Multiobjective clustering analysis using particle swarm optimization, file e2f56ed5-fc28-3eaf-e053-3a05fe0a5d97
|
1
|
|
MultiResolution Complexity Analysis. A Novel Method for Partitioning Datasets into Regions of Different Classification Complexity, file e2f56ed5-ff8c-3eaf-e053-3a05fe0a5d97
|
1
|
|
Using Secondary Structure Information to Perform Multiple Alignment, file e2f56ed6-044e-3eaf-e053-3a05fe0a5d97
|
1
|
| Totale |
5.485 |