CIS Video Archives
This is a collection of CIS videos that are either outdated or have some recording issues (too noisy, sharp recording angles...). The videos are hosted on IEEE.tv but are accessible by a direct link only.
- Chin-Teng Lin: Active Brain-Machine-Body Interface for Natural Cognition
- Adaptive Dynamic Programming and Reinforcement Learning for Feedback Control of Dynamical Systems: Part 1
- Adaptive Dynamic Programming and Reinforcement Learning for Feedback Control of Dynamical Systems: Part 2
- Adaptive Dynamic Programming and Reinforcement Learning for Feedback Control of Dynamical Systems: Part 3
- Adaptive Dynamic Programming and Reinforcement Learning for Feedback Control of Dynamical Systems: Part 4
- Dipankar Dasgupta: Advances in Immunological Computation 1
- Dipankar Dasgupta: Advances in Immunological Computation 2
- Clare Bates Congdon and Jeffrey A. Thompson: An Introduction to Bioinformatics for Computational Intelligence Researchers
- Andries Engelbrecht: Andries Engelbrecht - Particle Swarm Optimisation
- Irwin King, Zenglin Xu: Basics and Advances in Semi-supervised Learning 1
- Irwin King, Zenglin Xu: Basics and Advances in Semi-supervised Learning 3
- Irwin King, Zenglin Xu: Basics and Advances in Semi_supervised Learning 2
- George G. Lendaris: Basics of DHP Type Adaptive Critics, Approximate Dynamic Programming and Some Application Issues: Part 1
- George G. Lendaris: Basics of DHP Type Adaptive Critics, Approximate Dynamic Programming and Some Application Issues: Part 2
- George G. Lendaris: Basics of DHP Type Adaptive Critics, Approximate Dynamic Programming and Some Application Issues: Part 3
- George G. Lendaris: Basics of DHP Type Adaptive Critics, Approximate Dynamic Programming and Some Application Issues: Part 4
- Boris Kovalerchuck: Boris Kovalerchuck - Fuzzy Logic, Probability, and Measurement
- Thomas Stützle: CEC2013-Plenary2-Automated Algorithm Configuration: Methods, Applications and Prospects
- Russ Eberhardt: CIS Live Webinar: Particle Swarm: From Cornfield Vectors to Cognitive Radio
- Simon Haykin: Cognitive Control in Cognitive Dynamic Systems A New Way of Thinking Inspired by The Brain
- Bernard Widrow, Juan Carlos Aragon: Cognitive Memory and its Applications: Part 1
- Bernard Widrow, Juan Carlos Aragon: Cognitive Memory and its Applications: Part 2
- Bernard Widrow, Juan Carlos Aragon: Cognitive Memory: Human and Machine: Part 1
- Bernard Widrow, Juan Carlos Aragon: Cognitive Memory: Human and Machine: Part 2
- Bernard Widrow, Juan Carlos Aragon: Cognitive Memory: Human and Machine: Part 3
- Complex-Valued Neural Networks: Theory and Applications 2
- Roman Eartak: Constraint-based Scheduling: Part 1
- Roman Eartak: Constraint-based Scheduling: Part 2
- Roman Eartak: Constraint-based Scheduling: Part 3
- Marimuthu Palaniswami: Creating a Sustainable Smart City through Internet of Things: Challenges and Opportunities
- Gary Fogel: DLP13-06 A Survey of applications and future directions of computational intelligence
- Yaochu Jin: Evolutionary Dynamic Optimization: To Track or Not To Track, and How to Track
- Sergio Damas: Evolutionary Image Registation: Fundamentals, Approaches, Methods, and Real-World Applications 2
- Sergio Damas: Evolutionary Image Registration: Fundamentals, Approaches, Methods, and Real-World Applications 1
- P.N. Suganthan: Evolutionary Programming with Diversity Enhancement and Ensemble Strategies: Part 1
- P.N. Suganthan: Evolutionary Programming with Diversity Enhancement and Ensemble Strategies: Part 2
- Risto Miikkulainen: Evolving Neural Networks. Risto Miikkulainen
- Fitness Landscapes and Graphs: Multimodularity, Ruggedness and Neutrality 1
- Fitness Landscapes and Graphs: Multimodularity, Ruggedness and Neutrality 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:
- From Clusters to Models and Perceptions: The Evolution of Fuzzy Clustering and Linear Expansions with Nonlinear Cost Functions:
- Frontiers of Computational Engineering and Finance: Modeling and Calibrating Credit Risk
- Alexander Gegov: Fuzzy Networks: Theory and Applications 1
- Alexander Gegov: Fuzzy Networks: Theory and Applications 2
- Guang-Bin Huang: Guang-Bin Huang - Extreme Learning Machine: Learning Without Iterative Tuning. Part 1
- Guang-Bin Huang: Guang-Bin Huang - Extreme Learning Machine: Learning Without Iterative Tuning. Part 2
- Ralf Der: Guided Self-Organization of Autonomous Robot Behavior: Part 1
- Ralf Der: Guided Self-Organization of Autonomous Robot Behavior: Part 2
- Patrick K. Simpson: History Interview of Past President of Neural Network Council, Patrick K. Simpson Video
- Honghai Liu, Naoyuki Kubota: Honghai Liu - Towards a Unified Framework for Intelligent Robotics
- Ronald Yager: Intelligent Learning Methods for Soft Computing Systems 1
- Ronald Yager: Intelligent Learning Methods for Soft Computing Systems 2
- Robert Stratton: Internet Security Threat Landscape: Scaling to Meet the Threat
- Robert Stratton: Internet Security Threat Landscape: Scaling to Meet the Threat
- Marco Tomassini: Introduction of Evolutionary Game Theory2
- Marco Tomassini: Introduction to Evolutionary Game Theory 1
- Juyan Weng: Juyang Weng - Computational Brain Mind - Needs 6-Disciplines Part 1
- Juyan Weng: Juyang Weng - Computational Brain Mind - Needs 6-Disciplines Part 2
- Kazuo Tanaka: Kazuo Tanaka: A Unified Fuzzy Model-Based Framework for Modeling and Control of Complex Systems: From Flying Vehicle Control
- Carmine Senatore: Keeping Mars rovers rolling
- Large-scale Simulation of the Human Brain: Part 1
- Large-scale Simulation of the Human Brain: Part 2
- Wlodzislaw Duch Norbert Jankowski Krzysztof Grabczewski: Meta-Learning: Towards Universal Learning Paradigm 2
- Wlodzislaw Duch Norbert Jankowski Krzysztof Grabczewski: Meta_Learning: Towards Universal Learning Paradigm 1
- Ana Bazzan: Multiagent Reinforcement Learning in Traffic and Transportation
- Robert Desimone: Neural Synchrony and Selective Attention: Part 1
- Robert Desimone: Neural Synchrony and Selective Attention: Part 2
- Neuropercolation + Neurodynamics: Dynamical Memory Neural Networks in Biological Systems and Computers 3
- On Brain Inspired Nano Interconnects 1
- On Brain Inspired Nano Interconnects 2
- Oscillations, Synchrony and Temporal Codes in cortical Processing: Part 2
- Oscillations, Synchrony and Temporal Codes in cortical Processing: Part 3
- Oscillations, Synchrony and Temporal Codes in cortical Processing: Part 4
- Oscillations, Synchrony and Temporal Codes in cortical Processing: Part 5
- Process Mining: Beyond Busiess Intelligence 3
- Process Mining: Beyond Business Intelligence 1
- Process Mining: Beyond Business Intelligence 2
- Process Mining: Beyond Business Intelligence 4
- Quantum-Inspired Neuro-Evolutionary Models 1
- Quantum-Inspired Neuro-Evolutionary Models 2
- Reactive Search Optimization and Intelligent Optimization: from Algorithms to Software 1
- Reactive Search Optimization and Intelligent Optimization: from Algorithms to Software 2
- Simon M Lucas and Julian Togelius - Computational Intelligence and Games an Overview - Part 1
- Simon M Lucas and Julian Togelius - Computational Intelligence and Games an Overview - Part 2
- Soft Computing with Graded Logic Functions: Theory, Methods and Applications 1
- Soft Computing with Graded Logic Functions: Theory, Methods and Applications 2
- Spike Timing, Rhythms, and the Effective Use of Neural Hardware: Part 2
- Rudolf Kruse: Temporal Aspects in Data Mining 1
- Rudolf Kruse: Temporal Aspects in Data Mining 2
- Alexander Gegov: The Evolution of Fuzzy Networks
- Bibin Mathew Joseph: What is a neural network?
- Xin Yao: Xin Yao - Unpacking and Understanding Evolutionary Algorithms