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  1. 1

    Data science and social research II : methods, technologies and applications by SpringerLink (Online service), International Conference on Data Science and Social Research

    Published: Springer, 2021
    Description: 1 online resource.
    Contents: “…Rossi, Massimo Rugge, Manuel Zorzi) -- Chapter 5 -- Predicting the risk of gambling activities in adolescence: a case study (Laura Benedan, Gianna Serafina Monti) -- Chapter 6 -- Municipal managers in Italy: Skills, training requirements and related criti-cal aspects (Mario Bolzan, Giovanna Boccuzzo, Marco Marozzi) -- Chapter 7 -Attitudes towards immigrant inclusion: a look at the spatial disparities across European countries (Riccardo Borgoni, Antonella Carcagni, Alessandra Michelangeli, Federica Zaccagnini) -- Chapter 8 -- A bibliometric study of the global research activity in sustainability and its dimensions ( Rosanna Cataldo, Maria Gabriella Grassia, Carlo Natale Lauro, Marina Marino, Viktoriya Voytsekhovska) -- Chapter 9 -Big Data Marketing: A Strategic Alliance (Federica Codignola) -- Chapter 10 -Data processing in a Healthcare National System (with the analysis of the Italian HNS) (Manlio d'Agostino Panebianco, Anna Capoluongo) -- Chapter 11 -- Smart Tourism System in Calabria (Annarita De Maio, Daniele Ferone, Elisabetta Fersini, Enza Messina, Francesco Santoro, Antonio Violi) -- Chapter 12 -- Spatial Localization of Visitors Mobile Phones in a Sardinian Destinations' Network (Anna Maria Fiori, Ilaria Foroni) -- Chapter 13 -- The role of Open Data in healthcare research (Carlotta Galeone, Rossella Bonzi, Paolo Mariani) -- Chapter 14 -Social epidemiology: the challenges and opportunities of worldwide data consortia ( Carlotta Galeone, Rossella Bonzi, Federica Turati, Claudio Pelucchi, Matteo Rota, Carlo La Vecchia) -- Chapter 15 -Identification of Opinion Makers on Twitter ( Svitlana Galeshchuk, Ju Qiu) -- Chapter 16 -- Modelling Human Intelligence using Mixed Model Approach ( Thanigaivasan Gokul, Mamandur Rangasamy Srinivasan, Michele Gallo) -- Chapter 17 -- An analysis of the impact of requirements on wages within sectors of the tourism industry ( Paolo Mariani, Andrea Marletta, Lucio Masserini, Mariangela Zenga) -- Chapter 18 -- Big Data and Economic Analysis: the Challenge of a Harmonised Database (Caterina Marini, Vittorio Nicolardi) -- Chapter 19 -ROC Curve in GAMLSS as prediction tool for Big Data (Andrea Marletta) -- Chapter 20 -- Social media in disasters. …”
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    Knowledge discovery, knowledge engineering and knowledge management : second International Joint Conference, IC3K 2010, Valencia, Spain, October 25-28, 2010, Revised selected paper... by IC3K (Conference) Valencia, Spain), SpringerLink (Online service)

    Published: Springer, 2013
    Description: 1 online resource (xv, 430 pages) : illustrations (black and white).
    Contents: “…Improving the Semantics of a Conceptual Schema of the Human Genome by Incorporating the Modeling of SNPs /…”
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    Conference Proceeding eBook
  4. 4

    Web technologies and applications : APWeb 2012 International Workshops: SenDe, IDP, IEKB, MBC, Kunming, China, April 11-13, 2012. Proceedings by Asia-Pacific Web Conference Kunming, China, SpringerLink (Online service), SenDe 2012, IDP 2012, IEKB 2012, MBC 2012

    Published: Springer, 2012
    Description: 1 online resource (xxiii, 270 pages).
    Contents: “…PointBurst: Towards a Trust-Relationship Framework for Improved Social Recommendations /…”
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    Conference Proceeding eBook
  5. 5

    Advances in information retrieval : 35th European Conference on IR Research, ECIR 2013, Moscow, Russia, March 24-27, 2013. Proceedings by European Conference on IR Research Moscow, Russia, SpringerLink (Online service)

    Published: Springer, 2013
    Description: 1 online resource.
    Contents: “…Predicting Information Diffusion in Social Networks Using Content and User's Profiles /…”
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    Conference Proceeding eBook
  6. 6
  7. 7

    PRICAI 2012 : Trends in artificial intelligence ; 12th Pacific Rim International Conference on Artificial Intelligence, Kuching, Malaysia, September 3-7, 2012, Proceedings by Pacific Rim International Conference on Artificial Intelligence Kuching, Sarawak, SpringerLink (Online service)

    Published: Springer, 2012
    Description: 1 online resource.
    Contents: “…Preference Reasoning and Aggregation: Between AI and Social Choice /…”
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    Conference Proceeding eBook
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  10. 10

    Innovations in big data mining and embedded knowledge by Esposito, Antonietta M., Jain, L. C.

    Published: Springer Nature, 2019
    Description: 1 online resource.
    SpringerLink - Click here for access
    eBook
  11. 11

    Machine learning paradigms : advances in data analytics by SpringerLink (Online service)

    Published: Springer, 2019
    Description: 1 online resource.
    SpringerLink - Click here for access
    eBook
  12. 12

    Mining intelligence and knowledge exploration : 7th International Conference, MIKE 2019, Goa, India, December 19-22, 2019, Proceedings by MIKE (Conference) Goa, India), SpringerLink (Online service)

    Published: Springer, 2020
    Description: 1 online resource (357 pages).
    Contents: “…3.3 BSP-Binary Split Partition Method -- 4 Results and Discussion -- 5 Conclusion and Future Work -- References -- The Relationship Between Sentiments of Social Media and Economic Indicators -- 1 Introduction -- 2 Related Work -- 2.1 The Relevant Indices of the Happiness Index -- 2.2 Sentiment Analysis -- 3 Research Methodology -- 3.1 Research Method -- 3.2 Data Collection -- 3.3 Calculation of Emotion Scores -- 4 Research Results -- 4.1 The Relationship Between Happiness Index and Forum Sentiment -- 4.2 The Relationship Between GDP Annual Rate of Increase and the Forum Sentiment.…”
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  13. 13

    Dynamic Secularization : Information Technology and the Tension Between Religion and Science by Bainbridge, William Sims

    Published: Springer International Publishing, 2017
    Description: 1 online resource (viii, 268 pages) : 27 illustrations, 25 illustrations in color.
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    eBook
  14. 14

    Discovery science : 13th International Conference, DS 2010, Canberra, Australia, October 6-8, 2010, proceedings by International Conference on Discovery Science Canberra, Australia, SpringerLink (Online service)

    Published: Springer, 2010
    Description: 1 online resource (xiii, 384 pages).
    Contents: “…Sentiment Knowledge Discovery in Twitter Streaming Data -- A Similarity-Based Adaptation of Naive Bayes for Label Ranking: Application to the Metalearning Problem of Algorithm Recommendation -- Topology Preserving SOM with Transductive Confidence Machine -- An Artificial Experimenter for Enzymatic Response Characterisation -- Subgroup Discovery for Election Analysis: A Case Study in Descriptive Data Mining -- On Enumerating Frequent Closed Patterns with Key in Multi-relational Data -- Why Text Segment Classification Based on Part of Speech Feature Selection -- Speeding Up and Boosting Diverse Density Learning -- Incremental Learning of Cellular Automata for Parallel Recognition of Formal Languages -- Sparse Substring Pattern Set Discovery Using Linear Programming Boosting -- Discovery of Super-Mediators of Information Diffusion in Social Networks -- Integer Linear Programming Models for Constrained Clustering -- Efficient Visualization of Document Streams -- Bridging Conjunctive and Disjunctive Search Spaces for Mining a New Concise and Exact Representation of Correlated Patterns -- Graph Classification Based on Optimizing Graph Spectra -- Algorithm for Detecting Significant Locations from Raw GPS Data -- Discovery of Conservation Laws via Matrix Search -- Gaussian Clusters and Noise: An Approach Based on the Minimum Description Length Principle -- Exploiting Code Redundancies in ECOC -- Concept Convergence in Empirical Domains -- Equation Discovery for Model Identification in Respiratory Mechanics of the Mechanically Ventilated Human Lung -- Mining Class-Correlated Patterns for Sequence Labeling -- ESTATE: Strategy for Exploring Labeled Spatial Datasets Using Association Analysis -- Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships -- Incremental Mining of Closed Frequent Subtrees -- Optimal Online Prediction in Adversarial Environments -- Discovery of Abstract Concepts by a Robot -- Contrast Pattern Mining and Its Application for Building Robust Classifiers -- Towards General Algorithms for Grammatical Inference -- The Blessing and the Curse of the Multiplicative Updates.…”
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  15. 15

    Knowledge-based and intelligent information and engineering systems : 14th international conference, KES 2010, Cardiff, UK, September 8-10, 2010, proceedings. Part I by International Conference on Knowledge-Based Intelligent Information Engineering Systems and Allied Technologies Cardiff, Wales, SpringerLink (Online service)

    Published: Springer, 2010
    Description: 1 online resource (xlv, 679 pages) : illustrations.
    Contents: “…Keynote Talks -- Evolving Integrative Brain-, Gene-, and Quantum Inspired Systems for Computational Intelligence and Knowledge Engineering -- A Semiotic View of Social Intelligence for Realizing Human-Machine Symbiotic Systems -- Embracing Uncertainty: The New Machine Intelligence -- Exploiting Social Structures and Social Networks -- Knowledge Visualization for Engineered Systems -- Proximity-Based Federation of Smart Objects: Liberating Ubiquitous Computing from Stereotyped Application Scenarios -- Artificial Neural Networks, Connectionists Systems and Evolutionary Computation -- A Neural Network Model to Develop Urban Acupuncture -- Discovering Process Models with Genetic Algorithms Using Sampling -- A Multi-Objective Evolutionary Approach for the Antenna Positioning Problem -- CLONAL-GP Framework for Artificial Immune System Inspired Genetic Programming for Classification -- Solving Industrial Based Job-Shop Scheduling Problem by Distributed Micro-Genetic Algorithm with Local Search -- Data Mining via Rules Extracted from GMDH: An Application to Predict Churn in Bank Credit Cards -- Sensitivity Analysis and Automatic Calibration of a Rainfall-Runoff Model Using Multi-objectives -- University Course Timetabling Using ACO: A Case Study on Laboratory Exercises -- Machine Learning and Classical AI -- Nonparametric Statistical Analysis of Machine Learning Algorithms for Regression Problems -- Adaptive Learning of Nominal Concepts for Supervised Classification -- A Novel Approach of Process Mining with Event Graph -- A Classification Algorithm for Process Sequences Based on Markov Chains and Bayesian Networks -- Coaching to Enhance the Online Behavior Learning of a Robotic Agent -- Agent and Multi-agent Systems -- Cooperation of AGVs' Head-on Collision Avoidance by Knowledge Exchange in Autonomous Decentralized FMS -- A Log Analyzer Agent for Intrusion Detection in a Multi-Agent System -- A Proof System for Time-Dependent Multi-agents -- Toward Emotional E-Commerce: Formalizing Agents for a Simple Negotiation Protocol -- Distributed Ant Colony Clustering Using Mobile Agents and Its Effects -- Monitoring a Multi-Agent System Evolution through Iterative Development -- An Agent for Ecological Deliberation -- A Framework to Compute Inference Rules Valid in Agents' Temporal Logics -- Statecharts-Based JADE Agents and Tools for Engineering Multi-Agent Systems -- Telco Agent: Enabler of Paradigm Shift towards Customer-Managed Relationship -- Multi-attribute Auction Model for Agent-Based Content Trading in Telecom Markets -- Applying Possibility and Belief Operators to Conditional Statements -- A Computer Adaptive Testing Method for Intelligent Tutoring Systems -- Intelligent Vision, Image Processing and Signal Processing -- Combining Patient Metadata Extraction and Automatic Image Parsing for the Generation of an Anatomic Atlas -- Parallel Processing with CUDA in Ceramic Tiles Classification -- Signal Receiving and Processing Platform of the Experimental Passive Radar for Intelligent Surveillance System Using Software Defined Radio Approach -- Automated Anticounterfeiting Inspection Methods for Rigid Films Based on Infrared and Ultraviolet Pigments and Supervised Image Segmentation and Classification -- Vowel Recognition by Using the Combination of Haar Wavelet and Neural Network -- Bayesian Classification Using DCT Features for Brain Tumor Detection -- A New Strategy of Adaptive Nonlinear Echo Cancelling Volterra-Wiener Filter Structure Selection -- Intelligent System for Commercial Block Recognition Using Audio Signal Only -- Viewpoint Insensitive Actions Recognition Using Hidden Conditional Random Fields -- Fuzzy Hyper-Prototype Clustering -- Knowledge Management, Ontologies and Data Mining -- Clustering Using Difference Criterion of Distortion Ratios -- Computer-Generated Conversation Based on Newspaper Headline Interpretation -- Using Regression Analysis to Identify Patterns of Non-Technical Losses on Power Utilities -- Enhancing the Symbolic Aggregate Approximation Method Using Updated Lookup Tables -- Which XML Storage for Knowledge and Ontology Systems? …”
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    Advances in knowledge discovery and data mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual event, May 11-14, 2021, Proceedings. Part II by PAKDD (Conference) Online), SpringerLink (Online service)

    Published: Springer, 2021
    Description: 1 online resource (xxvi, 774 pages) : illustrations.
    Contents: “…-CED-BGFN: Chinese Event Detection via Bidirectional Glyph-aware Dynamic Fusion Network -- Learning Finite Automata with Shuffle -- Active Learning based Similarity Filtering for Efficient and Effective Record Linkage -- Stratified Sampling for Extreme Multi-Label Data -- Vertical Federated Learning for Higher-order Factorization Machines -- dK-Projection: Publishing Graph Joint degree distribution with Node Differential Privacy -- Recommender Systems -- Improving Sequential Recommendation with Attribute-augmented Graph Neural Networks -- Exploring Implicit Relationships in Social Network for Recommendation Systems -- Transferable Contextual Bandits with Prior Observations -- Modeling Hierarchical Intents and Selective Current Interest for Session-based Recommendation -- A Finetuned language model for Recommending cQA-QAs for enriching Textbooks -- XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction -- Learning Multiclass Classifier Under Noisy Bandit Feedback -- Diversify or Not: Dynamic Diversification for Personalized Recommendation -- Multi-criteria and Review-based Overall Rating Prediction -- W2FM: The Doubly-Warped Factorization Machine -- Causal Combinatorial Factorization Machines for Set-wise Recommendation -- Transformer-based Multi-task Learning for Queuing Time Aware Next POI Recommendation -- Joint Modeling Dynamic Preferences of Users and Items Using Reviews for Sequential Recommendation -- Box4Rec: Box Embedding for Sequential Recommendation -- UKIRF: An Item Rejection Framework for Improving Negative Items Sampling in One-Class Collaborative Filtering -- IACN: Influence-aware and Attention-based Co-evolutionary Network for Recommendation -- Nonlinear Matrix Factorization via Neighbor Embedding -- Deconfounding representation learning based on user interactions in Recommendation Systems -- Personalized Regularization Learning for Fairer Matrix Factorization -- Instance Selection for Online Updating in Dynamic Recommender Environments -- Text Analytics -- Fusing Essential Knowledge for Text-Based Open-Domain Question Answering. -- TSSE-DMM: Topic Modeling for Short Texts based on Topic Subdivision and Semantic Enhancement -- SILVER: Generating Persuasive Chinese Product Pitch -- Capturing SQL Query Overlapping via SubtreeCopy for Cross-domain Context-dependent SQLGeneration -- HScodeNet: Combining Hierarchical Sequential and Global Spatial Information of Text for Commodity HS Code Classification -- PLVCG: A Pretraining Based Model for Live Video Comment Generation -- Inducing Rich Interaction Structures between Words for Document-level Event Argument Extraction -- Exploiting Relevant Hyperlinks in Knowledge Base for Entity Linking -- TANTP: Conversational Emotion Recognition Using Tree-Based Attention Networks with Transformer Pre-training -- Semantic-syntax Cascade Injection Model for Aspect Sentiment Triple Extraction -- Modeling Inter-Aspect Relationship with Conjunction for Aspect-based Sentiment Analysis.…”
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    Conference Proceeding eBook
  18. 18

    Data mining and predictive analysis : intelligence gathering and crime analysis Second edition. by McCue, Colleen

    Published: Butterworth-Heinemann, 2015
    Description: 1 online resource.
    Elsevier - Click here for access
    eBook
  19. 19

    Knowledge discovery in databases : PKDD 2006 : 10th European Conference on Principle and Practice of Knowledge Discovery in Databases, Berlin, Germany, September 18-22, 2006 : proc... by European Conference on Principles and Practice of Knowledge Discovery in Databases Berlin, Germany, SpringerLink (Online service)

    Published: Springer, 2006
    Description: 1 online resource (xxii, 660 pages) : illustrations.
    Contents: “…-- Transductive Learning for Text Classification Using Explicit Knowledge Models -- Exploring Multiple Communities with Kernel-Based Link Analysis -- Distribution Rules with Numeric Attributes of Interest -- Tractable Models for Information Diffusion in Social Networks -- Efficient Spatial Classification Using Decoupled Conditional Random Fields -- Group SAX: Extending the Notion of Contrast Sets to Time Series and Multimedia Data -- An Attacker's View of Distance Preserving Maps for Privacy Preserving Data Mining -- A Scalable Distributed Stream Mining System for Highway Traffic Data -- K-Landmarks: Distributed Dimensionality Reduction for Clustering Quality Maintenance -- The Discrete Basis Problem -- Evaluation of Summarization Schemes for Learning in Streams -- Efficient Mining of Correlation Patterns in Spatial Point Data -- Improving Functional Modularity in Protein-Protein Interactions Graphs Using Hub-Induced Subgraphs -- Refining Aggregate Conditions in Relational Learning -- Measuring to Fit: Virtual Tailoring Through Cluster Analysis and Classification -- RIVA: Indexing and Visualization of High-Dimensional Data Via Dimension Reorderings -- Distributed Subgroup Mining -- Network Flow for Collaborative Ranking -- Short Papers -- Finding Hierarchies of Subspace Clusters -- Integrating Pattern Mining in Relational Databases -- Discovering Patterns in Real-Valued Time Series -- Classification of Dementia Types from Cognitive Profiles Data -- When Efficient Model Averaging Out-Performs Boosting and Bagging -- Peak-Jumping Frequent Itemset Mining Algorithms -- Autonomous Visualization -- Naive Bayes for Text Classification with Unbalanced Classes -- Knowledge-Conscious Data Clustering -- On the Lower Bound of Reconstruction Error for Spectral Filtering Based Privacy Preserving Data Mining -- Frequent Pattern Discovery Without Binarization: Mining Attribute Profiles -- Efficient Name Disambiguation for Large-Scale Databases -- Adaptive Segmentation-Based Symbolic Representations of Time Series for Better Modeling and Lower Bounding Distance Measures -- A Feature Generation Algorithm for Sequences with Application to Splice-Site Prediction -- Discovering Image-Text Associations for Cross-Media Web Information Fusion -- Mining Sequences of Temporal Intervals -- Pattern Teams -- Compression Picks Item Sets That Matter -- Discovering Overlapping Communities of Named Entities -- Closed Non-derivable Itemsets -- Learning a Distance Metric for Object Identification Without Human Supervision -- Towards Association Rules with Hidden Variables -- A Data Mining Approach to the Joint Evaluation of Field and Manufacturing Data in Automotive Industry -- Incremental Aspect Models for Mining Document Streams -- Learning Approximate MRFs from Large Transaction Data -- Similarity Search for Multi-dimensional NMR-Spectra of Natural Products.…”
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    Conference Proceeding eBook
  20. 20

    Advances in neural networks-- ISNN 2014 : 11th International Symposium on Neural Networks, ISNN 2014, Hong Kong and Macao, China, November 28- December 1, 2014 : proceedings by International Symposium on Neural Networks Hong Kong and Macao, China, SpringerLink (Online service)

    Published: Springer, 2014
    Description: 1 online resource.
    Contents: “…Analysis -- A Less Conservative Guaranteed Cost Stabilization of Time-varying Delayed CNNs -- Existence and Uniqueness of almost Automorphic Solutions to Cohen-Grossberg Neural Networks with Delays -- A Proof of a Key Formula in the Error-backpropagation Learning Algorithm for Multiple Spiking Neural Networks -- Anti-Synchronization Control for Memristor-Based Recurrent Neural Networks -- Adaptive Pinning Synchronization of Coupled Inertial Delayed Neural Networks -- The Relationship between Neural Avalanches and Neural Oscillations -- Reinforcement-Learning-Based Controller Design for Nonafine Nonlinear Systems -- Multistability and Multiperiodicity Analysis of Complex-valued Neural Networks -- Exponential Synchronization of Coupled Stochastic and Switched Neural Networks with Impulsive Effects -- The Research of Building Indoor Temperature Prediction Based on Support Vector Machine -- Towards the Computation of A Nash Equilibrium -- Sensorless PMSM Speed Control Based on NN Adaptive System Observer -- Neural-Network-Based Adaptive Fault Estimation for a Class of Interconnected Nonlinear System with Triangular Forms -- Big Data Matrix Singular Value Decomposition Based on Low-Rank Tensor Train Decomposition -- CSP-Based EEG Analysis on Dissociated Brain Organization for Single-Digit Addition and Multiplication -- Lazy Fully Probabilistic Design of Decision Strategies -- Memristive Radial Basis Function Neural Network for Parameters Adjustment of PID Controller -- Finite-Time Stability of Switched Static Neural Networks -- Fixed-priority Scheduling Policies and their Non-utilization Bounds -- Modeling Dynamic Hysteresis of Smart Actuators with Fuzzy Tree -- Neurodynamics-based Model Predictive Control for Trajectory Tracking of Autonomous Underwater Vehicles -- Feedback-Dependence of Correlated Firing in Globally Coupled Networks -- Wilcox on-Norm-Based Robust Extreme Learning Machine -- Modeling -- An Artificial Synaptic Plasticity Mechanism for Classical Conditioning with Neural Networks -- An Application of Dynamic Regression Model and Residual Auto-regressive Model in Time Series -- Reweighted l2-Regularized Dual Averaging Approach for Highly Sparse Stochastic Learning -- Perceptual Learning Model on Recognizing Chinese Characters -- Hierarchical Solving Method for Large Scale TSP Problems -- Gaussian Process Learning: A Divide-and-Conquer Approach -- A Kernel ELM Classifier for High-resolution Remotely Sensed Imagery Based on Multiple Features -- Early-Stopping Regularized Least-Squares Classification -- Z-Type Model for Real-Time Solution of Complex ZLE -- A Dynamic Generation Approach for Ensemble of Extreme Learning Machines -- Saliency Detection: A Divisive Normalization Approach -- A Novel Neural Network Based Adaptive Control for A Class of Uncertain Strict-Feedback Nonlinear Systems -- Rough Sets Theory Approach to Extenics Risk Assessment Model in Social Risk -- Kernel Parameter Optimization for KFDA Based on Maximum Margin Criterion -- A Polynomial Time Solvable Algorithm to Binary Quadratic Programming Problems with Q being a Seven-Diagonal Matrix and its Neural Network Implementation -- A New Nonlinear Neural Network for Solving QP Problems -- Untrained Method for Ensemble Pruning and Weighted Combination -- An Improved Learning Algorithm with Tunable Kernels for Complex-Valued Radial Basis Function Neural Networks -- Combined Methodology Based on Kernel Regression and Kernel Density Estimation for Sign Language Machine Translation -- Adaptive Intelligent Control for Continuous Stirred Tank Reactor with Output Constraint -- Applications -- Modeling and Application of Principal Component Analysis in Industrial Boiler -- An Orientation Column-inspired Contour Representation and its Application in Shape-based Recognition -- Region Based Image Preprocessor for Feed-Forward Perception Based Systems -- Image Denoising with Signal Dependent Noise using Block Matching and 3D Filtering -- Different-Level Simultaneous Minimization with Aid of Ma Equivalence for Robotic Redundancy Resolution -- Content-Adaptive Rain and Snow Removal Algorithms for Single Image -- Data-Driven Bridge Detection in Compressed Domain from Panchromatic Satellite Imagery -- Fast Nonnegative Tensor Factorization By Using Accelerated Proximal Gradient -- Multiclassifier System with Fuzzy Inference Method Applied to the Recognition of Biosignals in the Control of Bioprosthetic Hand -- Target Detection Using Radar in Heavy Sea Clutter by Polarimetric Analysis and Neural Network -- Human Action Recognition Based on Difference Silhouette and Static Reservoir -- Metric-Based Multi-Task Grouping Neural Network for Traffic Flow.…”
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