IEEE Computational Intelligence Society | IEEETV

IEEE Computational Intelligence Society

Focuses on computational intelligence, a collection of biologically and linguistically motivated computational paradigms, including the theory, design, application, and development of neural networks, connectionist systems, evolutionary algorithms, fuzzy systems, and hybrid intelligent systems.

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20 Years of Neural Networks: A Promising Start, A brilliant Future- Video contents

Temporal Pattern Mining in Symbolic Time Point and Time Interval Data

Bringing Biological Models to Life: The Power of Agent-based Modeling and Visualization

Brain-like Intelligence Inside - Towards Autonomously Interacting Systems

Spike Timing, Rhythms, and the Effective Use of Neural Hardware : Part 2

Memristor: 37 Years Later

Large-scale Neural Systems for Vision and Cognition

A Model of Embodied Computation for Artificial Morphogenesis

Metaheuristics for Multiobjective Optimization

An Introduction to Computational Intelligence in Multi-Criteria Decision-Making: The Intersection of Search, Preference Tradeoff

Complex-Valued Neural Networks

A perspective shift from Fuzzy logic to Neutrosophic Logic - Swati Aggarwal

Mathematical Evolution of Human Behaviors - Osama Salah Eldin

How to Cope with an Increasing Number of Objectives in Optimization - Xin Yao - WCCI 2016

Data and Algorithmic Bias in the Web - Ricardo Baeza-Yates - WCCI 2016

Sparse Fuzzy Modeling - Nikhil R Pal - WCCI 2016

Fragility of Interconnected Cyber-Physical Systems - Marios M. Polycarpou - WCCI 2016

Achieving Balance Between Convergence and Diversity in Evolutionary Multi-Objective Optimization - Ke Li

Intelligent Systems for Deep Space Exploration: Solutions and Challenges - Roberto Furfaro

Adaptive Learning and Optimization for MI: From the Foundations to Complex Systems - Haibo He - WCCI 2016

Computational Intelligence Creating Procedural Content for Games - Joseph Alexander Brown

Fuzzy Sets and Social Research - Charles C. Ragin - WCCI 2016

Fuzzy and Soft Methods for Multi-Criteria Decision Making - Ronald R Yager - WCCI 2016

A Bayesian Approach for Spatial Clustering - IEEE CIS Webinar

Algorithm recommendation using metalearning

Genetic Programming Hyper-heuristics for Combinatorial Optimisation: Yi Mei CIS Webinar

Some Thoughts on a Gap Between Theory and Practice of Evolutionary Algorithms - WCCI 2012

Toward Cognitive Integration of Prosthetic Devices - IEEE WCCI 2014

Guided Self-Organization of Autonomous Robot Behavior : Part 1

Internet Security Threat Landscape: Scaling to Meet the Threat

Cognitive Memory and its Applications : Part 2

Cognitive Memory and its Applications : Part 1

The Art of Parameter Tuning and How it Can Change EC Practice 1

The Art of Parameter Tuning and How it Can Change EC Practice 3

Cultural Algorithms: Harnessing the Power of Social Intelligence 2

Cultural Algorithms: Harnessing the Power of Social Intelligence 1

A Survey of Representations for Evolutionary Computation 2

A Survey of Representations for Evolutionary Computation 1

Large Scale Data Mining Using Genetics-Based Machine Learning 3

Large Scale Data Mining Using Genetics-Based Machine Learning 2

Large Scale Data Mining Using Genetics-Based Machine Learning 1

Dynamic Logic Example

Data Modeling using Kernels and Information Theoretic Learning

Applied Nonparametric hierarchical Bayes

Can Consciousness ever be Modeled?

Fitness Landscapes and Graphs: Multimodularity, Ruggedness and Neutrality 1

Introduction to Evolutionary Game Theory 1

Neuropercolation + Neurodynamics: Dynamical Memory Neural Networks in Biological Systems and Computers 3

Advances in Immunological Computation 2

Introduction of Evolutionary Game Theory2

Advances in Immunological Computation 1

Fitness Landscapes and Graphs: Multimodularity, Ruggedness and Neutrality 2

Hyper-heuristics: Towards Automated Heuristic Design 2

Hyper-heuristics: Towards Automated Heuristic Design 1

Evolutionary Image Registration: Fundamentals, Approaches, Methods, and Real-World Applications 1

Evolutionary Image Registation: Fundamentals, Approaches, Methods, and Real-World Applications 2

Process Mining: Beyond Business Intelligence 4

Process Mining: Beyond Business Intelligence 3

Process Mining: Beyond Business Intelligence 2

Process Mining: Beyond Business Intelligence 1

Soft Computing with Graded Logic Functions: Theory, Methods and Applications 2

Soft Computing with Graded Logic Functions: Theory, Methods and Applications 1

Dynamic Pattern Recognition and its Application on Non-Stationary Systems

Oscillations,Synchrony and Temporal Codes in cortical Processing : Part 5

Oscillations,Synchrony and Temporal Codes in cortical Processing : Part 4

Oscillations,Synchrony and Temporal Codes in cortical Processing : Part 3

Oscillations,Synchrony and Temporal Codes in cortical Processing : Part 2

Evolutionary Programming with Diversity Enhancement and Ensemble Strategies : Part 2

Evolutionary Programming with Diversity Enhancement and Ensemble Strategies : Part 1

Adaptive Dynamic Programming and Reinforcement Learning for Feedback Control of Dynamical Systems : Part 4

Adaptive Dynamic Programming and Reinforcement Learning for Feedback Control of Dynamical Systems : Part 2

Constraint-based Scheduling : Part 3

Cognitive Memory: Human and Machine : Part 3

Cognitive Memory: Human and Machine : Part 2

Basics of DHP Type Adaptive Critics, Approximate Dynamic Programming and Some Application Issues : Part 3

Basics of DHP Type Adaptive Critics, Approximate Dynamic Programming and Some Application Issues : Part 2

From Clusters to Models and Perceptions: The Evolution of Fuzzy Clustering and Linear Expansions with Nonlinear Cost Functions:

From Clusters to Models and Perceptions: The Evolution of Fuzzy Clustering and Linear Expansions with Nonlinear Cost Functions: (3)

From Clusters to Models and Perceptions: The Evolution of Fuzzy Clustering and Linear Expansions with Nonlinear Cost Functions: (2)

Intelligent Learning Methods for Soft Computing Systems 1

Intelligent Learning Methods for Soft Computing Systems 2

Temporal Aspects in Data Mining 2

Hamid R Tizhoosh - Fuzzy Image Processing

Guided Self-Organization of Autonomous Robot Behavior : Part 2

Boris Kovalerchuck - Fuzzy Logic, Probability, and Measurement

Juyang Weng - Computational Brain Mind - Needs 6-Disciplines Part 2

Juyang Weng - Computational Brain Mind - Needs 6-Disciplines Part 1

Multiobjective Quantum-inspired Evolutionary Algorithm and Preference-based Solution Selection Algorithm

An Introduction to Bioinformatics for Computational Intelligence Researchers

Kazuo Tanaka: A Unified Fuzzy Model-Based Framework for Modeling and Control of Complex Systems: From Flying Vehicle Control to

Large-scale Simulation of the Human Brain : Part 2

Uncovering the Neural Code of Learning Control - Jennie Si - WCCI 2012 invited lecture

Hideyuki Takagi - Interactive Evolutionary Computation

Large-scale Simulation of the Human Brain : Part 1

Self-Organization with Information Theoretic Learning

Simon M Lucas and Julian Togelius - Computational Intelligence and Games an Overview - Part 2

Ponnuthurai Nagaratnam Suganthan - Differential Evolution

Spike Timing, Rhythms, and the Effective Use of Neural Hardware

Simon M Lucas and Julian Togelius - Computational Intelligence and Games an Overview - Part 1

Neural Synchrony and Selective Attention : Part 2

Fun and Games with Artificial Intelligence: David B. Fogel

Neural Synchrony and Selective Attention : Part 1

Evolutionary Computation - A Technology Inspired by Nature

Deep Learning and the Representation of Natural Data

Artificial Neural Networks, Intro

Internet Security Threat Landscape: Scaling to Meet the Threat (2)

The Hertzsprung-Russell Diagram: Introduction to Fuzzy Logic

The Sorites Paradox: Introduction to Fuzzy Logic

Cognitive Control in Cognitive Dynamic Systems A New Way of Thinking Inspired by The Brain

Single Frame Super Resolution: Fuzzy Rule-Based and Gaussian Mixture Regression Approaches

Adaptive Dynamic Programming and Reinforcement Learning for Feedback Control of Dynamical Systems : Part 3

The eXtensible Event Stream (XES) standard

CEC2013-Plenary2-Automated Algorithm Configuration: Methods, Applications and Prospects

Adaptive Dynamic Programming and Reinforcement Learning for Feedback Control of Dynamical Systems : Part 1

Multiagent Reinforcement Learning in Traffic and Transportation

Big Data and Analytics at Verizon

Frontiers of Computational Engineering and Finance: Modeling and Calibrating Credit Risk

Type-2 Fuzzy Sets and Systems: Some Questions and Answers (edited)

The EU Human Brain Project - A Systematic Path from Data to Synthesis

Fuzzy Dynamic Programming: A Step Towards Cognitive Dynamic Programming

Constraint-based Scheduling : Part 2

Learning through Deterministic Assignment of Hidden Parameter

Constraint-based Scheduling : Part 1

Type-2 Fuzzy Sets and Systems: Some Questions and Answers

Some Recent Work in Computational Intelligence for Software Engineering

What is a neural network?

Fuzzy Networks: Theory and Applications 2

Neural Cognitive Robot: Learning, Memory and Intelligence

Cognitive Memory: Human and Machine : Part 1

Behind Artificial Neural Networks

Back to the Present: Exploring an Ancient World with Cultural Algorithms

Emergent Neural Network in reinforcement learning

Basics of DHP Type Adaptive Critics, Approximate Dynamic Programming and Some Application Issues : Part 4

Keeping Mars rovers rolling

Basics of DHP Type Adaptive Critics, Approximate Dynamic Programming and Some Application Issues : Part 1

Visual Clustering

Clustering 101

The Evolution of Fuzzy Networks

DLP13-06 A Survey of applications and future directions of computational intelligence

Fuzzy Networks: Theory and Applications 1

Creating a Sustainable Smart City through Internet of Things: Challenges and Opportunities

Active Space-Body Perception and Body Enhancement using Dynamical Neural Systems

Understanding Differential Evolution

Ensemble Approaches in Learning

Evolving Fuzzy Systems: A Granular Computing Design Framework

Computational Intelligence: What Can We Learn From the Brain?

Multiple Sensor Fault Detection and Isolation in Complex Distributed Dynamical Systems

Interaction and Experience in Enactive Intelligence and Humanoid Robotics

Computing with Words: Towards an Ultimately Human Centric Computing Paradigm

Evolutionary Dynamic Optimization: To Track or Not To Track, and How to Track

General-purpose RLADP: Solving the Scaling Problem

Advances in Kernel Methods

Computational Intelligence in (e)Healthcare - Challenges and Opportunites

How to Get Real Benefits from Real Intelligence in the Grid

Comparing Partitions from Clustering Algorithms

Active Brain-Machine-Body Interface for Natural Cognition

Learning with Kernels for Streams of Structured Data

Artificial Evolution: From Digital to Physical

Advances on Many-objective Evolutionary Optimization - IEEE WCCI 2012

Evolving Neural Networks. Risto Miikkulainen

A Historical Perspective on Computational Intelligence in N-player Games - IEEE WCCI 2014

Zhun Fan - Mechatronic Design Automation Using Evolutionary Approaches

Introducing IEEE vTools Events

Valerie Cross - Similarity from Fuzzy Sets to Semantic Similarity and Their Role on the Semantic Web

When Do We Resort to EC in the Communications Industry, and What is Needed in the Future? - IEEE Congress on Evolutionary Computation 2017

Honghai Liu - Towards a Unified Framework for Intelligent Robotics

How Symmetry Constrains Evolutionary Optimizers: A Black Box Differential Evolution Case Study - IEEE Congress on Evolutionary Computation 2017

Walter J Freeman and Robert Kozma - Physical Basis of Intelligence

Stan Schneider: Complexity Management in the Industrial IoT - IoT Challenges Industry Forum Panel: WF IoT 2016

Guang-Bin Huang - Extreme Learning Machine: Learning Without Iterative Tuning. Part 2

Vladimir Cherkassky - Predictive Learning, Knowledge Discovery and Philosophy of Science

Guang-Bin Huang - Extreme Learning Machine: Learning Without Iterative Tuning. Part 1

Risto Miikkilainen - Multiagent Learning Through Neuroevolution

Andries Engelbrecht - Particle Swarm Optimisation

Xin Yao - Unpacking and Understanding Evolutionary Algorithms

Temporal Aspects in Data Mining 1

CIS Live Webinar: Particle Swarm: From Cornfield Vectors to Cognitive Radio

Quantum-Inspired Neuro-Evolutionary Models 1

Piero P Bonissone - Lazy Meta-Learning - Creating Customized Model Ensembles on Demand

Quantum-Inspired Neuro-Evolutionary Models 2

Nikola Kasabov - EvoSpike - Evolving Probabilistic Spiking Neural Networks and Neuro-Genetic Systems for Spatio- and Spectro-Tem

Playing Games with Computational Intelligence

Lloyd Watts: Reverse-Engineering the Human Auditory Pathway -WCCI 2012 Plenary talk

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