yusuke1997/dblp-id-title huggingface dataset:
Collective Event Detection Using Bio-inspired Minimalistic Communication in a Swarm of Underwater Robots
Self-Organization and Artificial Life: A Review
Testing Three Hypotheses of the Contribution of Geometry and Migration Dynamics to Intestine Crypt Evolution
Data Standards for Artificial Life Software
Stability of Cooperation in Societies of Emotional and Moody Agents
How Lévy Flights Triggered by Presence of Defectors Affect Evolution of Cooperation in Spatial Games
Dynamic mutation in MAP-Elites for robotic repertoire generation
Intrinsic Mortality Governs Evolvability
Emergence of Multistrain Epidemics with an Underlying Genotype Network
Simulation-governed design and tuning of greenhouses for successful bee pollination
Increased Complexity and Fitness of Artificial Cells that Reproduce Using Spatially Distributed Asynchronous Parallel Processes
Towards open-ended evolutionary simulator for developing novel tumour drug delivery systems
SARS-CoV-2 pandemic dynamics and infection tracing in Denmark
Toward the Self-Organisation of Emergency Response Teams Based on Morphogenetic Network Growth
The Comparative Hybrid Approach to Investigate Cognition across Substrates
Being a leader or being the leader: The evolution of institutionalised hierarchy
Effects of Visual Sensory Range on the Emergence of Cognition in Early Terrestrial Vertebrates: An Agent-Based Modeling Approach
Reservoir Computing in Artificial Spin Ice
Any colour you like: using animal-robot interaction to unravel mechanisms promoting phenotypically heterogeneous fish aggregations
Information integration in a globally coupled chaotic system
Quality Evolvability ES: Evolving Individuals With a Distribution of Well Performing and Diverse Offspring
Rank epistasis: A new model for analyzing epistatic interactions in the absence of quantifiable fitness interactions
Stochastic Ontogenesis in Evolutionary Robotics
Interfacing Synthetic Cells with Biological Cells: An Application of the Synthetic Method
Evolution of Diverse Swarm Behaviors with Minimal Surprise
Truth or Consequences: Homeostatic Self-Regulation in Artificial Neural Networks
Classification of Complex Systems Based on Transients
All in Good Team: Optimising Team Personalities for Different Dynamic Problems and Task Types
The Impact of Early-death on Phenotypically Plastic Robots that Evolve in Changing Environments
Evolving Robust, Deliberate Motion Planning With a Shallow Convolutional Neural Network
Only Two Types of Strategies Enforce Linear Payoff Relationships Under Observation Errors in Repeated Prisoner's Dilemma Games
Measuring properties of movement in populations of evolved 3D agents
Quantifying Information Modification in Cellular Automata using Pointwise Partial Information Decomposition
Predictions in the eye of the beholder: an active inference account of Watt governors
A Candidate Self-Propagating System Enriched by Chemical Ecosystem Selection
Neural reuse in multifunctional neural networks for control tasks
Gathering of the Hive: Investigating the clustering behaviour of honeybees through art and swarm robotics
Major transitions in evolution and finite time singularities: Human wealth history
Information processing using a single Izhikevich neuron
Mechanisms of Social Learning in Evolved Artificial Life
Sexual Selection Compared to Novelty Search
Emergence of Chaotic Time Series by Adversarial Imitation Learning
The role of ambient noise in the evolution of robust mental representations in cognitive systems
Lyfe in the Universe: A Definition Based on Four Pillars
Towards investigating the influence of probabilistic robot motion parameters on archerfish behavior in fish-robot interactions
Towards modelling social habits: an organismically inspired evolutionary robotics approach
Can Robots Inform a Honeybee Colony's Foraging Decision-Making?
Towards Guidelines for Mechatronic Ecosystem Monitoring and Management
New Frontiers in Alife: What was old is new again
On Sexual Selection in the Presence of Multiple Costly Displays
On two information-theoretic measures of random fuzzy networks
Fairness in Multiplayer Ultimatum Games Through Moderate Responder Selection
Tracking data flow in digital brains exposes coincidental encryption
Exogenous Rewards for Promoting Cooperation in Scale-Free Networks
Control of collective behaviours through artificial feedbacks
Monte Carlo Physarum Machine: An Agent-based Model for Reconstructing Complex 3D Transport Networks
Towards Autopoietic SB-AI
Multi-modeling the morphogenesis of transportation networks
Phase Spaces of the Strategy Evolution in the El Farol Bar Problem
Decomposing the Prediction Problem; Autonomous Navigation by neoRL Agents
Microbial Life for Robotics - towards artificial life
Sensorimotor behavior under informational constraints: a robotic model of prey localization in the bat Micronycteris microtis
The Philosophical Underpinnings of Work in Artificial Life
Modelling the Social Buffering Hypothesis in an Artificial Life Environment
Investigating Open-Ended Coevolution in Digital Organisms
Towards animal phenotype transfer into biomimetic robots: the LAMPETRA project
Precision without Precisions: Handling uncertainty with a single predictive model
Building a survivable protocell for a corrosive digital environment
Droplet based synthetic biology: chemotaxis and interface with biology
Robotic Canvas: Interactive Painting onto Robot Swarms
What is a Parasite? Defining reaction and network properties in an open ended automata chemistry
Behavioral search drivers and the role of elitism in soft robotics
Ageing in artificial and real life: can we code a cure?
Experimental study of the effect of system composition on artificial chemotaxis of droplets
Robot Cancer: what the bioelectrics of embryogenesis and regeneration can teach us about unconventional computing, cognition, and the software of life
Robust Very Small Spiking Neural Networks Evolved with Noise to Recognize Temporal Patterns
Quantifying the Tape of Life: Ancestry-based Metrics Provide Insights and Intuition about Evolutionary Dynamics
Behavioral Stability in the Face of Neuromodulation in Brain-Body-Environment Systems
A reservoir computing approach for molecular computing
Genetic Source Sensitivity and Transfer Learning in Genetic Programming
Self-Replication in Neural Networks
Probabilistic Program Neurogenesis
Towards Complex Artificial Life
The Bayesian Superorganism: Collective Probability Estimation in Swarm Systems
On the Potential Benefits of Knowing Everything
Morphological communication for swarms
The affective affordances of the web: a 4E approach
Transfer of Information in Collective Decisions by Artificial Agents
Horizontal Gene Transfer Leads to Increased Task Acquisition and Genomic Modularity in Digital Organisms
Understanding biological plume tracking behavior using deep reinforcement-learning
Interacting Hierarchical Dynamic Networks
Simplified Modeling of the Evolution of Skills in a Spatially Resolved Environment
Learning to Cooperate in a Socially Optimal Way in Swarm Robotics
Different Forms of Random Motor Activity Scaffold the Formation of Different Habits in a Simulated Robot
The Effects of Individual and Social Learning on the Evolution of Cognitive and Communicative Aspects of Language Abilities
Weird Tales: Early Visions of Machines That Can Reproduce and Evolve, and Their Relevance Today
Synthetic Biology in the Brain: A Vision of Organic Robots
Agents of Habit: Refining the Artificial Life Route to Artificial Intelligence
Emergence of the tradeoff law of social relationships in artificial societies driven by dual memory mechanisms
A citizen-centric approach towards global-scale smart city platform
Robust waste collection exploiting cost efficiency of IoT potentiality in Smart Cities
Engaging citizen communities in smart cities using IoT, serious gaming and fast markerless Augmented Reality
Dynamic performance of IEEE 802.15.4 devices under persistent WiFi traffic
ID-based communication for realizing IoT and M2M in future heterogeneous mobile networks
Caching in Named Data Networking for the wireless Internet of Things
SMARTIE project: Secure IoT data management for smart cities
Simurgh: A framework for effective discovery, programming, and integration of services exposed in IoT
The patient-centric mobile healthcare system enhancing sensor connectivity and data interoperability
DP1SVM: A dynamic planar one-class support vector machine for Internet of Things environment
Geospatial ontology-based mission assignment in Wireless Sensor Networks
URB-grade decision support tool
How to intelligently make sense of real data of smart cities
IoT Lab: Towards co-design and IoT solution testing using the crowd
International Conference on Recent Advances in Internet of Things, RIoT 2015, Singapore, April 7-9, 2015
Securing tags to control information flows within the Internet of Things
A lightweight framework for efficient M2M device management in oneM2M architecture
A Network-Assisted Platform for Multipoint Remote Learning
Delay Tolerant Revocation Scheme for Delay Tolerant VANETs (DTRvS)
Wavelength division multiplexed optical eigenvalue modulated system
Availability Modeling and Evaluation of a Network Service Deployed via NFV
Transmission performances of 400 Gbps coherent 16-QAM multi-band OFDM adopting nonlinear mitigation techniques
A Lightweight Prediction Method for Scalable Analytics of Multi-seasonal KPIs
Review on phase preserving amplitude regeneration for phase-coded signals exploiting FWM in a saturated SOA
On the nonlinear reference phase in regular perturbation models
Automatic Face Recognition and Identification Tools in the Forensic Science Domain
A Copy-Move Detection Algorithm Based on Geometric Local Binary Pattern
Experimental demonstration of long haul transmission of eigenvalue modulated signals
Green and Heuristics-Based Consolidation Scheme for Data Center Cloud Applications
On the performance of digital back-propagation for imperfect knowledge of link design
A Security Evaluation of FIDO's UAF Protocol in Mobile and Embedded Devices
Random Matrix Theory for Modeling the Eigenvalue Distribution of Images Under Upscaling
Theoretical and experimental assessment of nonlinearity mitigation through symbol rate optimization
Digital back propagation in soliton coherent transmission
On the impact of carrier phase estimation on phase correlations in coherent fiber transmission
A De-verticalizing Middleware for IoT Systems Based on Information Centric Networking Design
Inter-band nonlinear interference canceler for long-haul coherent optical OFDM transmission
Nonlinearity compensation: Is the knowledge of absolute amplitude and phase really necessary?
On the Use of Time Information at Long Distance in Biometric Online Signature Recognition
Definition and Evaluation of Cold Migration Policies for the Minimization of the Energy Consumption in NFV Architectures
Illumination Analysis in Physics-Based Image Forensics: A Joint Discussion of Illumination Direction and Color
Information theory analysis of regenerative channels
Implementing a Per-Flow Token Bucket Using Open Packet Processor
Numerical methods for the inverse nonlinear fourier transform
Digital Communication. Towards a Smart and Secure Future Internet - 28th International Tyrrhenian Workshop, TIWDC 2017, Palermo, Italy, September 18-20, 2017, Proceedings
Numerical solution of the direct scattering problem for the nonlinear Schrödinger equation
Nonlinear noise characterization in highly dispersive optical transmission systems
A Dataset for Forensic Analysis of Videos in the Wild
2015 Tyrrhenian International Workshop on Digital Communications, TIWDC 2015, Florence, Italy, September 22, 2015
BICM capacity analysis of 8QAM-alternative modulation formats in nonlinear fiber transmission
Impact of Spreading Factor Imperfect Orthogonality in LoRa Communications
Measuring Spectrum Similarity in Distributed Radio Monitoring Systems
Biometric Fusion for Palm-Vein-Based Recognition Systems
Proceedings of the 5th International Workshop on Automated Reasoning in Quantified Non-Classical Logics (ARQNL 2024) affiliated with the 12th International Joint Conference on Automated Reasoning (IJCAR 2024), Nancy, France, July 1, 2024
Implementing the Fatio Protocol for Multi-Agent Argumentation in LogiKEy
Separation Logics: Semantics and Proofs (invited talk abstract)
When Epsilon meets Lambda: Extended Leśniewski's Ontology
A Proof-Theoretical Approach to Some Extensions of First Order Quantification
A Fresh Look at Relevant Number Theory
Bisequent Calculi for Neutral Free Logic with Definite Descriptions
On the Computational Content of Intuitionistic Modal Proofs (invited talk abstract)
On Regular Relations in Parametric Array Theories
Automated Proof Search in Intuitionistic Sentential Logic
Implementing Intermediate Logics
Unifying Gene Duplication, Loss, and Coalescence on Phylogenetic Networks
Contrastive Masked Graph Autoencoders for Spatial Transcriptomics Data Analysis
A Novel Algorithm for Glycan de novo Sequencing Using Tandem Mass Spectrometry
Deciphering Transcription Factor Binding Patterns from Genome-Wide High Density ChIP-chip Tiling Array Data
PRESS-PLOT: An Online Server for Protein Structural Analysis and Evaluation with Residue-level Virtual Angle Correlation Plots
Identifying Differentially Abundant Metabolic Pathways in Metagenomic Datasets
TSCF-Net: A Temporal-Spectral Cross-Fusion Network for Low-Channel EEG Motor Imagery Classification
A Sequence-Based Antibody Paratope Prediction Model Through Combing Local-Global Information and Partner Features
IFNet: An Image-Enhanced Cross-Modal Fusion Network for Radiology Report Generation
Bioinformatics Research and Applications, 6th International Symposium, ISBRA 2010, Storrs, CT, USA, May 23-26, 2010. Proceedings
Methods for Genome-Wide Analysis of MDR and XDR Tuberculosis from Belarus
Markov Model Variants for Appraisal of Coding Potential in Plant DNA
Entropy Based Clustering of Viral Sequences
Unbiased Taxonomic Annotation of Metagenomic Samples
Multiple Sequence Local Alignment Using Monte Carlo EM Algorithm
DM-SIRT: A Distributed Method for Multi-tilt Reconstruction in Electron Tomography
LiteTrans: Reconstruct Transformer with Convolution for Medical Image Segmentation
A Median Solver and Phylogenetic Inference Based on DCJ Sorting
Prediction of Protein Subcellular Localization from Microscopic Images via Few-Shot Learning
Mining K-mers of Various Lengths in Biological Sequences
Drug Target Identification Based on Structural Output Controllability of Complex Networks
A One-Class Classification Approach for Protein Sequences and Structures
Computational Methods for the Parallel 3D Simulation of Biochemical Kinetics at the Microscopic Scale
Fast Algorithms for Inferring Gene-Species Associations
DCNN: Dual-Level Collaborative Neural Network for Imbalanced Heart Anomaly Detection
Bioinformatics Research and Applications - 20th International Symposium, ISBRA 2024, Kunming, China, July 19-21, 2024, Proceedings, Part III
Unusual RNA Structures: Information Content in RNAs from the "Prebiotic Ribosome" to Modern Viruses
OrgaNet: A Deep Learning Approach for Automated Evaluation of Organoids Viability in Drug Screening
Construction of Uncertain Protein-Protein Interaction Networks and Its Applications
An Eigendecomposition Method for Protein Structure Alignment
Automated Prediction of Protein Pair Distances Based on Deep Learning: A Novel Approach to Protein Structure Prediction in SCOP
Computer Assisted Segmentation Tool: A Machine Learning Based Image Segmenting Tool for TrakEM2
scGASI: A Graph Autoencoder-Based Single-Cell Integration Clustering Method
MIFS: A Peer-to-Peer Medical Images Storage and Sharing System Based on Consortium Blockchain
Differential Functional Analysis and Change Motifs in Gene Networks to Explore the Role of Anti-sense Transcription
ScDA: A Denoising AutoEncoder Based Dimensionality Reduction for Single-cell RNA-seq Data
Predicting Microbe-Disease Association via Tripartite Network and Relation Graph Convolutional Network
A Scalable Reference-Free Metagenomic Binning Pipeline
PmmNDD: Predicting the Pathogenicity of Missense Mutations in Neurodegenerative Diseases via Ensemble Learning
Poisson-Markov Mixture Model and Parallel Algorithm for Binning Massive and Heterogenous DNA Sequencing Reads
A Robustness Analysis of Dynamic Boolean Models of Cellular Circuits
Simultaneous Multi-Domain-Multi-Gene Reconciliation Under the Domain-Gene-Species Reconciliation Model
GRTR: Drug-Disease Association Prediction Based on Graph Regularized Transductive Regression on Heterogeneous Network
The Radiation Hybrid Map Construction Problem Is FPT
A Simulation of Synthetic agr System in E.coli
KT-AMP: Enhancing Antimicrobial Peptide Functions Prediction Through Knowledge Transfer on Protein Language Model
A Distance-Based Method for Detecting Horizontal Gene Transfer in Whole Genomes
TREPP: Tandem Repeat Expansion Pathogenicity Predicting Approach Using Stacked CatBoost Models and Multiple Features
A Tensor Robust Model Based on Enhanced Tensor Nuclear Norm and Low-Rank Constraint for Multi-view Cancer Genomics Data
Extracting Depression Symptoms from Social Networks and Web Blogs via Text Mining
Curvilinear Triangular Discretization of Biomedical Images
A Polynomial Time Solution for Protein Chain Pair Simplification under the Discrete Fréchet Distance
Identification of Essential Proteins by Using Complexes and Interaction Network
LPI-FKLGCN: Predicting LncRNA-Protein Interactions Through Fast Kernel Learning and Graph Convolutional Network
A Novel Core-Attachment Based Greedy Search Method for Mining Functional Modules in Protein Interaction Networks
IDNDDI: An Integrated Drug Similarity Network Method for Predicting Drug-Drug Interactions
Efficiently Finding the Most Parsimonious Phylogenetic Tree Via Linear Programming
An Algorithm for Hierarchical Classification of Genes of Prokaryotic Genomes
CFCN: A Multi-scale Fully Convolutional Network with Dilated Convolution for Nuclei Classification and Localization
TransDomain: A Transitive Domain-Based Method in Protein-Protein Interaction Prediction
Multiple Kernel Support Vector Regression for siRNA Efficacy Prediction
Detecting Potential Adverse Drug Reactions Using Association Rules and Embedding Models
Pattern Matching in RNA Structures
Variable-Length Promoter Strength Prediction Based on Graph Convolution
Estimation of Rates of Reactions Triggered by Electron Transfer in Top-Down Mass Spectrometry
Relating Diseases Based on Disease Module Theory
GFBA: A Biclustering Algorithm for Discovering Value-Coherent Biclusters
SGMDTI: A Unified Framework for Drug-Target Interaction Prediction by Semantic-Guided Meta-path Method
Protein Crystallization Screening Using Associative Experimental Design
The Review of the Major Entropy Methods and Applications in Biomedical Signal Research
Multi-filter Based Signed Graph Convolutional Networks for Predicting Interactions on Drug Networks
Uncovering Hidden Phylogenetic Consensus
LiteSCTransNet: Lightweight CNN-Transformer for 3D Medical Image Segmentation
Inferring Dysregulated Pathways of Driving Cancer Subtypes Through Multi-omics Integration
Sorting by Reversals, Transpositions, and Indels on Both Gene Order and Intergenic Sizes
A Stacking-Based Approach to Identify Translated Upstream Open Reading Frames in Arabidopsis Thaliana
An Improved Correlation Method Based on Rotation Invariant Feature for Automatic Particle Selection
Binary Contingency Table Method for Analyzing Gene Mutation in Cancer Genome
Using Gene Expression Modeling to Determine Biological Relevance of Putative Regulatory Networks
Central Feature Network Enables Accurate Detection of Both Small and Large Particles in Cryo-Electron Tomography
Contrastive Learning-Based Method for Single-Cell Multi-omics Data Clustering
A Locality-Constrained Linear Coding-Based Ensemble Learning Framework for Predicting Potentially Disease-Associated MiRNAs
Bioinformatics Research and Applications - 18th International Symposium, ISBRA 2022, Haifa, Israel, November 14-17, 2022, Proceedings
OVarCall: Bayesian Mutation Calling Method Utilizing Overlapping Paired-End Reads
IDOS: Improved D3DOCK on Spark
Identification of Gastric Cancer Immune Microenvironment Related Genes with Poor Prognosis and Tumor Immune Infiltration
A Consensus Approach to Predicting Protein Contact Map via Logistic Regression
Interleaving Global and Local Search for Protein Motion Computation
Bioinformatics Research and Applications - 17th International Symposium, ISBRA 2021, Shenzhen, China, November 26-28, 2021, Proceedings
Mitochondrial Haplogroup Assignment for High-Throughput Sequencing Data from Single Individual and Mixed DNA Samples
SkeIn: Sketchy-Intensive Reading Comprehension Model for Multi-choice Biomedical Questions
Evolutionary Algorithm for Feature Subset Selection in Predicting Tumor Outcomes Using Microarray Data
Bioinformatics Challenges in Translational Research
An SIMD Algorithm for Wraparound Tandem Alignment
The Deep Coalescence Consensus Tree Problem is Pareto on Clusters
Intelligent Algorithms of Action Recognition for Cardiopulmonary Resuscitation Based on Wearable Device
GSDRP: Fusing Drug Sequence Features with Graph Features to Predict Drug Response
Early Prediction of SGA-LGA Fetus at the First Trimester Ending Through Weighted Voting Ensemble Learning Approach
Continuous Time Bayesian Networks for Gene Network Reconstruction: A Comparative Study on Time Course Data
Estimating Enzyme Participation in Metabolic Pathways for Microbial Communities from RNA-seq Data
Identification of Transcription Factor Binding Sites in Promoter Regions by Modularity Analysis of the Motif Co-occurrence Graph
LncRNA-Disease Association Prediction Based on Integrated Application of Matrix Decomposition and Graph Contrastive Learning
Locality Sensitive Imputation for Single-Cell RNA-Seq Data
Enhanced Functional Pathway Annotations for Differentially Expressed Gene Clusters
A Fast and Exact Algorithm for the Perfect Reversal Median Problem
Extensions and Improvements to the Chordal Graph Approach to the Multi-state Perfect Phylogeny Problem
CPSORCL: A Cooperative Particle Swarm Optimization Method with Random Contrastive Learning for Interactive Feature Selection
Querying Protein-Protein Interaction Networks
Heterogeneous Cancer Cell Line Data Fusion for Identifying Novel Response Determinants in Precision Medicine
Gaussian-Enhanced Representation Model for Extracting Protein-Protein Interactions Affected by Mutations
POPE: Pipeline of Parentally-Biased Expression
Genetic and Pharmacogenetic Studies of Neuropsychiatric Disorders: Increasingly Critical Roles of Bioinformatics Research and Applications - (Keynote Talk)
Net2Image: A Network Representation Method for Identifying Cancer-Related Genes
DNA Image Storage Using a Scheme Based on Fuzzy Matching on Natural Genome
MSMK: Multiscale Module Kernel for Identifying Disease-Related Genes
Deep Ensemble Models for 16S Ribosomal Gene Classification
Gene Network Modules-Based Liner Discriminant Analysis of Microarray Gene Expression Data
Heterogeneous PPI Network Representation Learning for Protein Complex Identification
M-US-EMRs: A Multi-modal Data Fusion Method of Ultrasonic Images and Electronic Medical Records Used for Screening of Coronary Heart Disease
Bioinformatics Research and Applications - 21st International Symposium, ISBRA 2025, Helsinki, Finland, August 3-5, 2025, Proceedings, Part II
A Bootstrap Correspondence Analysis for Factorial Microarray Experiments with Replications
CADS: Causal Inference for Dissecting Essential Genes to Predict Drug Synergy
Genetic Algorithm Based Beta-Barrel Detection for Medium Resolution Cryo-EM Density Maps
Designing RNA Secondary Structures in Coding Regions
Integrative Network Component Analysis for Regulatory Network Reconstruction
Identification of piRNA-Disease Association Based on Contrastive Learning
Predicting Frequencies of Drug Side Effects Using Graph Attention Networks with Multiple Features
VM-UNET-V2: Rethinking Vision Mamba UNet for Medical Image Segmentation
Greedy Partition Distance Under Stochastic Models - Analytic Results
Predicting Disease Risks Using Feature Selection Based on Random Forest and Support Vector Machine