yusuke1997/dblp-id-title huggingface dataset:
Neurostimulation Design from an Energy and Information Transfer Perspective
Tiled Multicore Processors
A Practical Introduction to PSL
Testing 3D Stacked ICs Containing Through-Silicon Vias
Influence of Stacked 3D Memory/Cache Architectures on GPUs
Abstraction Refinement for Large Scale Model Checking
Entropy Coding in HEVC
Compression Performance Analysis in HEVC
Design for Manufacturability and Yield for Nano-Scale CMOS
The Shaping of Ambient Intelligence and the Internet of Things - Historico-epistemic, Socio-cultural, Politico-institutional and Eco-environmental Dimensions
The Human Face of Ambient Intelligence - Cognitive, Emotional, Affective, Behavioral and Conversational Aspects
Computer Vision and Action Recognition - A Guide for Image Processing and Computer Vision Community for Action Understanding
Multicore Systems On-Chip: Practical Software/Hardware Design
Multicore Systems On-Chip: Practical Software/Hardware Design, Second Edition
Invariants of Graphs Modeling Nucleotide Rearrangements
Recent Developments of Automated Machine Learning and Search Techniques
Introduction to DNA Topology
Reservoir Computing with Dipole-Coupled Nanomagnets
Cortico-Striatal Origins of Reservoir Computing, Mixed Selectivity, and Higher Cognitive Function
Neuroevolution of Generative Adversarial Networks
Hyper-Heuristics: Theory and Applications
Self-aware Object Tracking in Multi-Camera Networks
Two-Phase Real-Valued Multimodal Optimization with the Hill-Valley Evolutionary Algorithm
Self-aware Computing Systems - An Engineering Approach
On the Assessment of Nature-Inspired Meta-Heuristic Optimization Techniques to Fine-Tune Deep Belief Networks
Automated Development of DNN Based Spoken Language Systems Using Evolutionary Algorithms
Evolvable Robot Hardware
Many-Criteria Dominance Relations
The Bayesian Search Game
Optimising the Software Development Process with Artificial Intelligence
Self-organising Software - From Natural to Artificial Adaptation
Swarm Intelligence in Optimization
Search Heuristics for the Optimization of DBN for Time Series Forecasting
Generic Local Search (Memetic) Algorithm on a Single GPGPU Chip
Complexity Theory for Discrete Black-Box Optimization Heuristics
Formal Search Algorithms + Problem Characterisations = Executable Search Strategies
Computing with Integrated Photonic Reservoirs
Self-awareness and Self-expression: Inspiration from Psychology
ACO with Tabu Search on GPUs for Fast Solution of the QAP
Acceleration of Genetic Algorithms for Sudoku Solution on Many-Core Processors
Implementation Techniques for Massively Parallel Multi-objective Optimization
Reservoir Computing in Material Substrates
Design Patterns and Primitives: Introduction of Components and Patterns for SACS
AutoMoDe: A Modular Approach to the Automatic Off-Line Design and Fine-Tuning of Control Software for Robot Swarms
Lectures on Intelligent Systems
Understanding DNA Looping Through Cre-Recombination Kinetics
Multimodal Optimization: Formulation, Heuristics, and a Decade of Advances
Computational Matter
Toward Real-Time Federated Evolutionary Neural Architecture Search
Combinatorial Insights into RNA Secondary Structure
Programmed Genome Processing in Ciliates
Agents and Multi-Agent Systems
Principles and Applications of Polymorphic Circuits
Bioinspired Computing with Synaptic Elements
Devices and Architectures for Evolutionary Hardware
The Role of Symmetry in Conformational Changes of Viral Capsids: A Mathematical Approach
Key Issues in Real-World Applications of Many-Objective Optimisation and Decision Analysis
Security in Artificial Systems
Leveraging Artificial Intelligence for Model-based Software Analysis and Design
Reactions Mediated by Topoisomerases and Other Enzymes: Modelling Localised DNA Transformations
Reservoir Computing in MEMS
Self-adaptive Hardware Acceleration on a Heterogeneous Cluster
Hyper-heuristics: Autonomous Problem Solvers
Minimal Tile and Bond-Edge Types for Self-Assembling DNA Graphs
An Introduction to Metaheuristics for Optimization
Foundations of Machine Learning for Software Engineering
Reservoirs Learn to Learn
Fast Evolution of CNN Architecture for Image Classification
Theoretical Aspects of Subset Selection in Multi-Objective Optimisation
Evolution of Electronic Circuits
Artificial Chemistries on GPU
Engineering Self-organising Systems
Reduced Models of Gene Regulatory Networks: Visualising Multi-modal Landscapes
Large-Scale Bioinformatics Data Mining with Parallel Genetic Programming on Graphics Processing Units
Relationships to Other Concepts
Self-awareness in Active Music Systems
Evolving the Architecture and Hyperparameters of DNNs for Malware Detection
Redundant and Critical Noncovalent Interactions in Protein Rigid Cluster Analysis
Towards Basin Identification Methods with Robustness Against Outliers
Principled Design of Continuous Stochastic Search: From Theory to Practice
Theory and Principled Methods for the Design of Metaheuristics
Discovering Gated Recurrent Neural Network Architectures
History and Definitions
Black-Box Complexity for Bounding the Performance of Randomized Search Heuristics
Introduction to Evolutionary Computing
Why GPGPUs for Evolutionary Computation?
Nature Inspired Optimisation for Delivery Problems - From Theory to the Real World
Adaptive Trust Management
Automated Design (AutoDes): Current Trends and Future Research Directions
Swarm Intelligence: Introduction and Applications
An Analytical Study of Parallel GA with Independent Runs on GPUs
Self-organising Systems
Organic Computing and Swarm Intelligence
Many-Criteria Optimisation and Decision Analysis Ontology and Knowledge Management
Theory of Parameter Control for Discrete Black-Box Optimization: Provable Performance Gains Through Dynamic Parameter Choices
Modeling Autonomous Supramolecular Assembly
Automated Design of Machine Learning and Search Algorithms
Genetic Programming on GPGPU Cards Using EASEA
Programmable Fading Memory in Atomic Switch Systems for Error Checking Applications
General-Purpose Optimization Through Information Maximization
In Materio Computation Using Carbon Nanotubes
Automated Design of Classification Algorithms
Microscopic Chemically Reactive Electronic Agents
Automatic Parallelization of EC on GPGPUs and Clusters of GPGPU Machines with EASEA and EASEA-CLOUD
A Game Theoretic Perspective on Bayesian Many-Objective Optimization
Convergence Rates of Evolutionary Algorithms and Parallel Evolutionary Algorithms
Parsimony Pressure Made Easy: Solving the Problem of Bloat in GP
Functional Equivalence Checking for Evolution of Complex Digital Circuits
Particle Swarms for Dynamic Optimization Problems
Coevolutionary Computation and Its Applications
Identifying Correlations in Understanding and Solving Many-Objective Optimisation Problems
Trust and Reputation for Successful Software Self-organisation
A General Model for Automated Algorithm Design
Representation, Resolution, and Visualization in Multimodal Optimization
Knowledge Transfer in Genetic Programming Hyper-heuristics
The Sequence Reconstruction Problem
Overcoming Variability Through Transistor Reconfiguration: Evolvable Hardware on the PAnDA Architecture
Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms
Performance Improvement of Delay-Based Photonic Reservoir Computing
Contemporary Evolution Strategies
Evolvable Hardware - From Practice to Application
Analysing Stochastic Search Heuristics Operating on a Fixed Budget
Many-Criteria Optimization and Decision Analysis: State-of-the-Art, Present Challenges, and Future Perspectives
Evolutionary Computation and Meta-heuristics
On the Characteristics and Structures of Dynamical Systems Suitable for Reservoir Computing
Analysis of Evolutionary Algorithms in Dynamic and Stochastic Environments
Self-aware Computing: Introduction and Motivation
Artificial Intelligence in Software Project Management
Decoding Genomic Information
Multivalued Logic at the Nanoscale
Reservoir Computing Based on Spintronics Technology
Experimental Analysis of Optimization Algorithms: Tuning and Beyond
Bayesian Optimization
Evolution, Development and Evolvable Hardware
Perspectives in Computational Genome Analysis
Foraging-Inspired Optimisation Algorithms
Computing by Non-linear Optical Molecular Response
Mobility in Process Calculi and Natural Computing
When and How the Perfect Phylogeny Model Explains Evolution
A Shallow Introduction to Deep Neural Networks
Hardware Acceleration for CGP: Graphics Processing Units
Probabilistic Tools for the Analysis of Randomized Optimization Heuristics
The Benefits of Population Diversity in Evolutionary Algorithms: A Survey of Rigorous Runtime Analyses
Reservoir Computing for Forecasting Large Spatiotemporal Dynamical Systems
Using Large-Scale Parallel Systems for Complex Crystallographic Problems in Materials Science
Statistical Models and Machine Learning to Advance Code Completion: Are We There Yet?
Site-Specific Recombination Modeled as a Band Surgery: Applications to Xer Recombination
IBCell Morphocharts: A Computational Model for Linking Cell Molecular Activity with Emerging Tissue Morphology
Introduction to Evolutionary Computing, Second Edition
Multimodal Optimization by Evolution Strategies with Repelling Subpopulations
Automated Support for Unit Test Generation
Extracting Coevolving Characters from a Tree of Species
Cartesian Genetic Programming on the GPU
Common Techniques for Self-awareness and Self-expression
Reference Architecture for Self-aware and Self-expressive Computing Systems
Computational Complexity Analysis of Genetic Programming
Developmental Evolvable Hardware
Automated Machine Learning - A Brief Review at the End of the Early Years
Cartesian Genetic Programming
Theoretical Foundations of Immune-Inspired Randomized Search Heuristics for Optimization
Reservoir Computing Leveraging the Transient Non-linear Dynamics of Spin-Torque Nano-Oscillators
Deconstructing Complex Nonlinear Models in System Design Space
Introduction to Evolutionary Computation and Genetic Programming
Deep Reservoir Computing
Heterogeneous Objectives: State-of-the-Art and Future Research
Discrete and Topological Models in Molecular Biology
Massively Parallel Evolutionary Computation on GPGPUs
Data Dieting in GAN Training
Self-aware Hardware Acceleration of Financial Applications on a Heterogeneous Cluster
Scheduling Using Multiple Swarm Particle Optimization with Memetic Features on Graphics Processing Units
Self-organisation in Natural Systems Inspiring Self-organising Software
Middleware Infrastructures for Self-organising Pervasive Computing Systems
Natural Computing Algorithms
Philosophy of Computation
Designing an Optimal Search Algorithm with Respect to Prior Information
Algebraic Models and Their Use in Systems Biology
Investigating Deep Recurrent Connections and Recurrent Memory Cells Using Neuro-Evolution
The CGP Developmental Network
Phenotypic Niching Using Quality Diversity Algorithms
Reservoir Computing Using Autonomous Boolean Networks Realized on Field-Programmable Gate Arrays
Multimodal Optimization by Means of Evolutionary Algorithms
Image Processing and CGP
Identifying Properties of Real-World Optimisation Problems Through a Questionnaire
Rigorous Performance Analysis of Hyper-heuristics
Physical Reservoir Computing in Robotics
Metaheuristics for Finding Multiple Solutions
Reservoir Computing with Computational Matter
New Ideas in Parallel Metaheuristics on GPU: Systolic Genetic Search
Deflection and Stretching Techniques for Detection of Multiple Minimizers in Multimodal Optimization Problems
Probabilistic Multimodal Optimization
Visualisation for Decision Support in Many-Objective Optimisation: State-of-the-art, Guidance and Future Directions
Problem Decomposition in Cartesian Genetic Programming
Knowledge Representation and Modelling: Structures and Trade-Offs
Metaheuristics in a Nutshell
Flexible Protocol Stacks
Finding Representative Solutions in Multimodal Optimization for Enhanced Decision-Making
The Cerebral Cortex: A Delay-Coupled Recurrent Oscillator Network?
Evolution, Self-organization and Swarm Robotics
Analyzing Evolutionary Algorithms - The Computer Science Perspective
Rugged and Elementary Landscapes
Medical Applications of Evolvable Hardware
Neuromorphic Electronic Systems for Reservoir Computing
Computational Evolution of Neural and Morphological Development - Towards Evolutionary Developmental Artificial Intelligence
Evolutionary Computer Vision - The First Footprints
Site-Specific Recombination on Unknot and Unlink Substrates Producing Two-Bridge Links
Biological Foundations of Swarm Intelligence
Particle Swarm Optimization for Evolving Deep Convolutional Neural Networks for Image Classification: Single- and Multi-Objective Approaches
Parameterized Complexity Analysis of Randomized Search Heuristics
Single-Funnel and Multi-funnel Landscapes and Subthreshold-Seeking Behavior
Theory of Evolutionary Computation - Recent Developments in Discrete Optimization
Encoding and Representation of Information Processing in Irregular Computational Matter
UCOMP Roadmap: Survey, Challenges, Recommendations
Understanding NVIDIA GPGPU Hardware
Medical Applications of Cartesian Genetic Programming
CGP, Creativity and Art
Reservoir Computing - Theory, Physical Implementations, and Applications
Immune Systems
An Invitation to the Study of Brain Networks, with Some Statistical Analysis of Thresholding Techniques
An Agent-Based Approach to Self-organized Production
Quantum Reservoir Computing: A Reservoir Approach Toward Quantum Machine Learning on Near-Term Quantum Devices
Intelligent Software Maintenance
Drift Analysis
Holonic Multi-Agent Systems
Conclusions and Outlook
Routing Protocols for Next-Generation Networks Inspired by Collective Behaviors of Insect Societies: An Overview
Cellular Computing and Synthetic Biology
Cloud Development and Deployment
Designing Convolutional Neural Network Architectures Using Cartesian Genetic Programming
Nanoscale Molecular Automata: From Materials to Architectures
A Developmental Image Compression Technique Using Gene Regulatory Networks
Representations and Algorithms
Measurement and Fitness Function
Artificial Intelligence Techniques in System Testing
Self-aware Compute Nodes
Metamorphic Systems: A Schema for Adaptive Autonomous Systems
PhyChip: Growing Computers with Slime Mould
CGP Acceleration Using Field-Programmable Gate Arrays
Self-organisation in Constraint Problem Solving
Theory of Estimation-of-Distribution Algorithms
Self-Modifying Cartesian Genetic Programming
One-Pixel Attack: Understanding and Improving Deep Neural Networks with Evolutionary Computation
Simplicial Models and Topological Inference in Biological Systems
Toward NMR Quantum Reservoir Computing
Evolving Deep Neural Networks for X-ray Based Detection of Dangerous Objects
GPU-Accelerated High-Accuracy Molecular Docking Using Guided Differential Evolution
Hierarchical Networks-on-Chip Architecture for Neuromorphic Hardware
Lifting the Multimodality-Fog in Continuous Multi-objective Optimization
Region Detection in Images
A Cross-Domain Method for Generation of Constructive and Perturbative Heuristics
Data Mining Using Parallel Multi-objective Evolutionary Algorithms on Graphics Processing Units
arGA: Adaptive Resolution Micro-genetic Algorithm with Tabu Search to Solve MINLP Problems Using GPU
Computability and Complexity of Unconventional Computing Devices
Many-Threaded Differential Evolution on the GPU
Deep Neural Evolution - Deep Learning with Evolutionary Computation
Many-Objective Quality Measures
The Algebra of Gene Assembly in Ciliates
Middleware Support for Self-aware Computing Systems
No Free Lunch Theorems: Limitations and Perspectives of Metaheuristics
The QSSA in Chemical Kinetics: As Taught and as Practiced
Introduction to Many-Criteria Optimization and Decision Analysis
BIOMICS: a Theory of Interaction Computing
Grammar-Based Multi-objective Genetic Programming with Token Competition and Its Applications in Financial Fraud Detection
Deterministic Extraction from Weak Random Sources
High-Level Application Development for Sensor Networks: Data-Driven Approach
Theoretical Aspects of Graph Models for MANETs
Security and Trust in Sensor Networks
Syntax-Directed Semantics - Formal Models Based on Tree Transducers
Maintaining Connectivity in Sensor Networks Using Directional Antennae
Fault-Tolerant Search Algorithms - Reliable Computation with Unreliable Information
Coping with Selfishness in Congestion Games - Analysis and Design via LP Duality
Time-Dependent Scheduling
Universal Algebra for Computer Scientists
Coloured Petri Nets - Basic Concepts, Analysis Methods and Practical Use - Volume 1, Second Edition
Information Spreading in Dynamic Networks: An Analytical Approach
Temporal Logic of Programs
Theoretical Aspects of Distributed Computing in Sensor Networks
Algorithms in Combinatorial Geometry
Computing in Horn Clause Theories
Graph and Model Transformation - General Framework and Applications
Coloured Petri Nets - Basic Concepts, Analysis Methods and Practical Use - Volume 1
Theory of Semi-Feasible Algorithms
Key Predistribution in Wireless Sensor Networks When Sensors Are Within Communication Range
Optimal Placement of Ad Hoc Devices Under a VCG-Style Routing Protocol
Networked Distributed Source Coding
Structural Complexity II
Process Algebras for Petri Nets - The Alphabetization of Distributed Systems
Compiler Generators - What They Can Do, What They Might Do, and What They Will Probably Never Do
Algorithmic Aspects of Sensor Localization
Energy-Balanced Data Propagation inWireless Sensor Networks
Prolong the Lifetime of Wireless Sensor Networks Through Mobility: A General Optimization Framework
The Logic of Partial Information
The Spatial Smoothing Method of Clock Synchronization in Wireless Networks
Domain Science and Engineering - A Foundation for Software Development
Dense, Concentric, and Non-uniform Multi-hop Sensor Networks
Key Management in Sensor Networks
Products of Automata
Words and Graphs
Population Protocols and Related Models
First-Order Programming Theories
Duration Calculus - A Formal Approach to Real-Time Systems
Unfoldings - A Partial-Order Approach to Model Checking
Specification and Analysis of Concurrent Systems - The COSY Approach
Semantic Integration of Heterogeneous Software Specifications
Position-Based Routing in Wireless Ad Hoc and Sensor Networks
Models and Algorithms of Time-Dependent Scheduling, Second Edition
Coordination Problems in Ad Hoc Radio Networks
Restricted-Orientation Convexity
Fundamentals of Algebraic Graph Transformation
Self-Stabilizing and Self-Organizing Virtual Infrastructures for Mobile Networks
Patterns in Permutations and Words
Spatio-temporal Context in Wireless Sensor Networks
Realistic Applications for Wireless Sensor Networks
Iteration Theories - The Equational Logic of Iterative Processes
Confluent String Rewriting
Composition and Scaling Challenges in Sensor Networks: An Interaction-Centric View
Scheduling Algorithms for Tree-Based Data Collection in Wireless Sensor Networks
Probabilistic Data Propagation in Wireless Sensor Networks
Oblivious Routing for Sensor Network Topologies
Coloured Petri Nets - Basic Concepts, Analysis Methods and Practical Use - Volume 3
Nonsequential Processes - A Petri Net View
Theory of Reversible Computing
Parsing Theory - Volume I: Languages and Parsing
Fundamentals of Algebraic Specification 2
Structural Complexity I
Finiteness and Regularity in Semigroups and Formal Languages
Scheduling and Power Assignments in the Physical Model
Computing by Mobile Robotic Sensors
Parsing Theory - Volume II: LR(k) and LL(k) Parsing
Toward Integrated Real-World Sensing Environment - Applications and Challenges
Formal Models of Computation - The Ultimate Limits of Computing
Language Prototyping: An Algebraic Specification Approach
Cafeobj Report - The Language, Proof Techniques, and Methodologies for Object-Oriented Algebraic Specification
An Algebraic Approach to Compiler Design
Algebraic Specification Techniques and Tools for Software Development: The Act Approach
Construction and Analysis of Transition Systems with MEC
Blockchain-Based Data Security in Heterogeneous Communications Networks
Performance Controllable Industrial Wireless Networks
Mean Field Guided Machine Learning, 1
High-Speed Large Capacity Optical Fiber Communications
Flying Ad Hoc Networks - Cooperative Networking and Resource Allocation
Cloud Networking for Big Data
Modeling, Analysis, and Optimization for Space-Ground Integrated Networks
Intelligent Resources Management for Vehicular Social Networks - Societal Perspectives and Current Issues in the Digital Era
Security and Privacy for Next-Generation Wireless Networks
Green Internet of Things (IoT): Energy Efficiency Perspective
Perturbation Based Privacy in Crowdsensing
Backdoor Attacks against Learning-Based Algorithms
Intelligent Reflecting Surface-Aided Physical-Layer Security
Contract Theory for Wireless Networks
Network Slicing for Future Wireless Communication - Theory and Application
Integrating Edge Intelligence and Blockchain - What, Why, and How
Cooperation and Integration in 6G Heterogeneous Networks - Resource Allocation and Networking
Mobile Technologies for Smart Healthcare System Design
Privacy-Enhancing Aggregation Techniques for Smart Grid Communications
Next Generation Marine Wireless Communication Networks
Security in Smart Home Networks
Federated Learning for Wireless Networks
mmWave Massive MIMO Vehicular Communications
Millimeter-Wave Networks - Beamforming Design and Performance Analysis
Dynamic Resource Management in Service-Oriented Core Networks
Security in Network Coding
Moving Target Defense for Distributed Systems
Connectivity and Edge Computing in IoT: Customized Designs and AI-based Solutions
Data Security in Cloud Storage
Physical-Layer Security for Cooperative Relay Networks
Advanced NOMA Techniques for Heterogeneous Cellular Networks
Learning-Based Reconfigurable Multiple Access Schemes for Virtualized MTC Networks
Vehicular Networking for Road Safety
Simultaneously Transmitting and Reflecting Surfaces for Wireless Communications
Decentralized Privacy Preservation in Smart Cities
Self-Evolving Digital Twin Over Wireless Networks - Dynamic Twin Construction and Service Interaction
Localization in Underwater Sensor Networks
Privacy-Preserving in Edge Computing
Intelligent Resource Scheduling in End-Edge-Cloud Networks
AI-Empowered IoT Communications
Mobile Electric Vehicles - Online Charging and Discharging
Acoustic Sensing on Commodity Devices and its Applications
AI-Enabled UAV-Assisted Massive MIMO - Relaying for 5G-and-Beyond Wireless Networks
Mean Field Game and its Applications in Wireless Networks
Wireless Sensing - Principles, Techniques and Applications
Mixed-Criticality Industrial Wireless Networks
Moving Target Defense in the Smart Grid
Intelligent Internet of Things Networks
Detection of False Data Injection Attacks in Smart Grid Cyber-Physical Systems
Positioning and Sensing Over Wireless Networks
Cross-Modal Communication Technology
The Next Generation Vehicular Networks, Modeling, Algorithm and Applications
Intelligent Mobile Edge Computing and Sensing
Index Modulation for OFDM Communications Systems
MAC Protocol Design in Full-Duplex Enabled Wireless Networks
Reinforcement Learning for Maritime Communications
Wireless Rechargeable Sensor Networks for Internet of Things - Theories and Technical Paradigms
Sequential Learning and Decision-Making in Wireless Resource Management
Fog Radio Access Networks (F-RAN) - Architectures, Technologies, and Applications
Adaptive and Scalable Blockchain Systems
Cyberspace Mimic Defense - Generalized Robust Control and Endogenous Security
Privacy-Preserving Techniques with e-Healthcare Applications
Machine-Type Communication for Maritime Internet-of-Things - From Concept to Practice
Searchable Encryption - From Concepts to Systems, 4
Energy Efficient Computation Offloading in Mobile Edge Computing
RFID Technologies for Internet of Things
Economics of Database-Assisted Spectrum Sharing
Cloud Mobile Networks - From RAN to EPC
Cellular Vehicle-to-Everything (C-V2X)
Communication Efficient Federated Learning for Wireless Networks
Intelligent Reflecting Surface For B5G/6G Wireless Networks - Information and Power Transmission
Advanced Wireless Technologies for Industrial Network Systems