yusuke1997/dblp-id-title huggingface dataset:
On how breaking traffic rules affects vehicle flow
Improving measurements of similarity judgments with machine-learning algorithms
COCO: an annotated Twitter dataset of COVID-19 conspiracy theories
A belief in rewards accelerates cooperation on consumer-generated media
Open-source LLMs for text annotation: a practical guide for model setting and fine-tuning
Can likes returned by peers within a day improve users' depressive/manic levels in a massive multiplayer online game? A randomized controlled trial
Graphical metrics for analyzing district maps
How the rich are different: hierarchical power as the basis of income size and class
Japan's monetary policy: a literature review and empirical assessment
International mobility between the UK and Europe around Brexit: a data-driven study
Small-area population forecasting in a segregated city using density-functional fluctuation theory
Asocial balance - how your friends determine your enemies: understanding the co-evolution of friendship and enmity interactions in a virtual world
Partisan public health: how does political ideology influence support for COVID-19 related misinformation?
Predicting socio-economic well-being using mobile apps data: a case study of France
Opinion dynamics models describing the emergence of polarization phenomena
Modeling economic migration on a global scale
Content-aware sentiment understanding: cross-modal analysis with encoder-decoder architectures
Social media and suicide in social movements: a case study in Hong Kong
Sentiment analysis of code-mixed Telugu-English text using transformers
Beyond failure rates: unveiling startup success factors with machine learning
Automated measures of sentiment via transformer- and lexicon-based sentiment analysis (TLSA)
Botometer 101: social bot practicum for computational social scientists
Sentiment analysis of solar energy in U.S. Cities: a 10-year analysis using transformer-based deep learning
The spread of pro- and anti-vaccine views by coordinated communities on facebook during COVID-19 pandemic
Fighting fake news: a role for computational social science in the fight against digital misinformation
Traffic management systems: a survey of current solutions and emerging technologies
Posters and protesters: The networked interplay between onsite participation and Facebook activity in the Yellow Vests movement in France
Mentions of prejudice in news media - an international comparison
Post Covid-19 economic and social impact on international migrant workers employment vulnerability: empirical evidence from Chittagong division, Bangladesh
Success prediction of online news about TV series with machine learning, Google Analytics, and Twitter
A fuzzy set extension of Schelling's spatial segregation model
Practicality evaluation of stochastic model on networks for the real economy simulation
Analyzing user-generated content using natural language processing: a case study of public satisfaction with healthcare systems
Social media-based social-psychological community resilience analysis of five countries on COVID-19
Around the world in 60 days: an exploratory study of impact of COVID-19 on online global news sentiment
Exploring determinants of school dropout across regions in India: a comprehensive meta-analysis
Climate change denial and ideology in Swedish online media: measuring ideology change using a computational approach
Fake reviews classification using deep learning ensemble of shallow convolutions
Identifying the factors influencing the development of bilateral investment treaties with health safeguards: a Machine Learning-based link prediction approach
Dynamic organization of flocking behaviors in a large-scale boids model
Morality and partisan social media engagement: a natural language examination of moral political messaging and engagement during the 2018 US midterm elections
Exploring incel group dynamics: a computational study of hierarchy and group-boundary policing
Anti-vaccine rabbit hole leads to political representation: the case of Twitter in Japan
Comparative analysis of social bots and humans during the COVID-19 pandemic
Skill, status and the Matthew effect: a theoretical framework
Dynamic simulation of social media challenge participation to examine intervention strategies
Integrating media sentiment with traditional economic indicators: a study on PMI, CCI, and employment during COVID-19 period in Poland
Parliamentary debate as electoral signaling
How social media crisis response and social interaction is helping people recover from Covid-19: an empirical investigation
Extending cluster-based ensemble learning through synthetic population generation for modeling disparities in health insurance coverage across Missouri
Evaluation of organizational structure through cluster validation analysis of email communications
You are what you eat: A social media study of food identity
Correction to: Social influence and unfollowing accelerate the emergence of echo chambers
The use of Bayesian networks for realist evaluation of complex interventions: evidence for prevention of human trafficking
Random forest analysis of two household surveys can identify important predictors of migration in Bangladesh
Smart social junction traffic control using reinforcement learning on real data
Network toxicity analysis: an information-theoretic approach to studying the social dynamics of online toxicity
Battle of positioning: exploring the role of bridges in competitive diffusion
Exploring the role of information security news descriptions on retweet proneness and user interactions
Applications of Bayesian networks in assessing the effects of family resilience on caregiver behavioral problems, depressive symptoms, and burdens
Differences of communication activity and mobility patterns between urban and rural people
Measuring happiness increases happiness
Concept Mover's Distance: measuring concept engagement via word embeddings in texts
Using word embeddings to probe sentiment associations of politically loaded terms in news and opinion articles from news media outlets
Unraveling media perspectives: a comprehensive methodology combining large language models, topic modeling, sentiment analysis, and ontology learning to analyse media bias
The variant of efforts avoiding strain: successful correction of a scientific discourse related to COVID-19
The price of being polite: politeness, social status, and their joint impacts on community Q&A efficiency
Modeling the spatial distribution of violence against women: evidence from metropolitan Chile
Big data in social and psychological science: theoretical and methodological issues
Application of explainable artificial intelligence approach to predict student learning outcomes
Automation impacts on China's polarized job market
Filter bubbles as a vector of tradition? Decoding opinion dynamics with agent-based modelling
A comprehensive investigation of variational auto-encoders for population synthesis
Outlier mining in criminal networks: the role of machine learning and outlier detection models
ViTHSD: exploiting hatred by targets for hate speech detection on Vietnamese social media texts
The simple regularities in the dynamics of online news impact
Identifying social media user demographics and topic diversity with computational social science: a case study of a major international policy forum
Who sets the cyber agenda? Intermedia agenda-setting online: the case of Edward Snowden's NSA revelations
A deep learning framework for clickbait detection on social area network using natural language cues
Impact of personal information and reputation system on gig workers' employment status: an interpretable machine learning-based approach
Systematic literature review on hate speech detection in Indian low-resource languages
Skewed perspectives: examining the influence of engagement maximization on content diversity in social media feeds
Towards misinformation mitigation on social media: novel user activity representation for modeling societal acceptance
Modelling emergent pedestrian evacuation behaviors from intelligent, game-playing agents
Influence of emotions on coping behaviors in crisis: a computational analysis of the COVID-19 outbreak
A novel systematic approach of constructing protests repertoires from social media: comparing the roles of organizational and non-organizational actors in social movement
Communicating Europe: a computational analysis of the evolution of the European Commission's communication on Twitter
Closed-mindedness and insulation in groupthink: their effects and the devil's advocacy as a preventive measure
Impact of maker-taker fees on stock exchange competition from an agent-based simulation
Text-based automatic personality prediction: a bibliographic review
Predictive insights: leveraging Twitter sentiments and machine learning for environmental, social and governance controversy prediction
Vindication, virtue, and vitriol: A study of online engagement and abuse toward British MPs during the COVID-19 pandemic
Evaluating area-level features for proxy means test models: evidence from rural, semi-urban and urban districts in poverty targeting
Framing climate change in Nature and Science editorials: applications of supervised and unsupervised text categorization
Identification of intimate partner violence from free text descriptions in social media
Measuring the communication between multiple digital political echo chambers: multidimensional Invasiveness, Intrusiveness, and Influence
Tweet topics on cancer among Indian Twitter users - computational approach using latent Dirichlet allocation topic modelling
Exploring the structure of the school curriculum with graph neural networks
Multi-balanced redistricting
The gameability of redistricting criteria
Influencing overseas Chinese by tweets: text-images as the key tactic of Chinese propaganda
A machine learning-based assessment of subjective quality of life
Technological and social networks of a pastoralist artificial society: agent-based modeling of mobility patterns
Integrating the gender dimension to disclose the degree of businesses' articulation of innovation
Exploring China's cyber sovereignty concept and artificial intelligence governance model: a machine learning approach
Language, demographics, emotions, and the structure of online social networks
Network position and learning dynamics: unveiling the impact of social structure on skill acquisition in online gaming platforms
Transforming tweets into opinions: a deep learning approach to analyse and predict election result using social media data
How culture can affect opinion dynamics: the case of vaccination
Regional contagion in health behaviors: evidence from COVID-19 vaccination modeling in England with social network theorem
Evolving activity cascades on socio-technological networks
Understanding the intention to use artificial intelligence chatbots in education: The role of individual innovativeness and AI trust among university students
Local explainability-based model for clickbait spoiler generation
A structural equation modeling approach to leveraging the power of extant sentiment analysis tools
Governance, quality of life and city performance: A study based on artificial intelligence
Innovative deep learning-based CEA-MMSA framework for cultural emotion analysis of Tamil and Sanskrit Siddha palm leaf manuscripts
Correction to: Identifying social media user demographics and topic diversity with computational social science: a case study of a major international policy forum
Enhanced news sentiment analysis using deep learning methods
Prompt selection matters: enhancing text annotations for social sciences with large language models
An inclusive, real-world investigation of persuasion in language and verbal behavior
OCR with Tesseract, Amazon Textract, and Google Document AI: a benchmarking experiment
Mitigation strategies against cascading failures within a project activity network
On the incidence of depression symptoms on social media
Network diffusion of competing behaviors
From academia to policy makers: a methodology for real-time forecasting of infrequent events
School dropout prediction and feature importance exploration in Malawi using household panel data: machine learning approach
A scoping review on the use of natural language processing in research on political polarization: trends and research prospects
Misinformation, manipulation, and abuse on social media in the era of COVID-19
You are how (and where) you search? Comparative analysis of web search behavior using web tracking data
Large-scale parallel execution of urban-scale traffic simulation and its performance on K computer
Replacing or enhancing the human coder? Multiclass classification of policy documents with large language models
Breaking the silence: the rise of hate speech in Spanish politics
The "flat peer learning" agent-based model
How self-disclosure in Twitter profiles relate to anonymity consciousness and usage objectives: a cross-cultural study
Classical-quantum hybrid transfer learning for adverse drug reaction detection from social media posts
Network models of financial systemic risk: a review
Polysemy and the sociolinguistics of policy ideas: resilience, sustainability and wellbeing 2000-2020
Public perceptions of police behavior during traffic stops: logistic regression and machine learning approaches compared
Characterizing the roles of bots on Twitter during the COVID-19 infodemic
The impact of politicians' behaviors on hate speech spread: hate speech adoption threshold on Twitter in Japan
Analyzing user engagement in news application considering popularity diversity and content diversity
VisualCommunity: a platform for archiving and studying communities
Combining the strengths of Dutch survey and register data in a data challenge to predict fertility (PreFer)
Digital epidemiology: leveraging social media for insight into epilepsy and mental health
Agent-based modeling on economic dynamics - Why competing automakers coexist in Japan?
Computational courtship understanding the evolution of online dating through large-scale data analysis
Tracking the global pulse: the first public twitter dataset from FIFA world cup
Using word embeddings for immigrant and refugee stereotype quantification in a diachronic and multilingual setting
Stance classification: a comparative study and use case on Australian parliamentary debates
Inequality and inflation relationship in middle-income countries
A review of human mobility: Linking data, models, and real-world applications
The level of tolerance of individuals, individual thinking, and the formation of social norms
Modelling policy action using natural language processing: evidence for a long-run increase in policy activism in the UK
Assessing political bias in large language models
What motivated mitigation policies? A network-based longitudinal analysis of state-level mitigation strategies
Annotating live messages on social media. Testing the efficiency of the AnnotHate - live data annotation portal
Anchored k-medoids: a novel adaptation of k-medoids further refined to measure long-term instability in the exposure to crime
In generative AI we trust: can chatbots effectively verify political information?
A robotic learning and generalization framework for curved surface based on modified DMP
Omni-directional mobile robot controller based on trajectory linearization
Correct and efficient UAV missions based on temporal planning and in-flight hybrid simulations
Omni-directional gait of a passive-spine hexapod
Geometrical descriptors for human face morphological analysis and recognition
Learning compliant robotic movements based on biomimetic motor adaptation
Feedforward control of multimode single-link flexible manipulators based on an optimal mechanical design
Evolutionary robotics: the Sussex approach
Learning 3D local surface descriptor for point cloud images of objects in the real-world
Cooperative minimum expected length planning for robot formations in stochastic maps
A neural network based framework for variable impedance skills learning from demonstrations
Intelligent Robotic Systems - SIRS'2001
Adaptation and coaching of periodic motion primitives through physical and visual interaction
A novel approach for the generation of complex humanoid walking sequences based on a combination of optimal control and learning of movement primitives
Distributed multi-robot coordination in area exploration
Influences of the robot group size on cooperative multi-robot localisation - Analysis and experimental validation
Quantum neural network-based inverse kinematics of a six-jointed industrial robotic arm
GLIM: 3D range-inertial localization and mapping with GPU-accelerated scan matching factors
Towards autonomous mapping in agriculture: A review of supportive technologies for ground robotics
An integrated stereo visual odometry for robotic navigation
Developing structural constraints for accurate registration of overlapping range images
Managing plans: Integrating deliberation and reactive execution schemes
When and where to step: Terrain-aware real-time footstep location and timing optimization for bipedal robots
On the dynamic model and kinematic analysis of a class of Stewart platforms
Learning adaptive dressing assistance from human demonstration
An expert system based modelling scheme for tactile data interpretation
PlaneLoc: Probabilistic global localization in 3-D using local planar features
Dynamic fields endow behavior-based robots with representations
Real-time visual sinkage detection for planetary rovers
Constrained visual predictive control of tendon-driven continuum robots
Fuzzy logic-based real-time robot navigation in unknown environment with dead ends
Visual servoing and appearance for navigation
Near-optimal dynamic trajectory generation and control of an omnidirectional vehicle
LiRA: Light-Robust Adversary for model-based reinforcement learning in real world
Simultaneous localization and map building using natural features and absolute information
An approach to the pursuit problem on a heterogeneous multiagent system using reinforcement learning
An enhanced autonomous counter-drone system with jamming and relative positioning capabilities
Robotic odor source localization via adaptive bio-inspired navigation using fuzzy inference methods
The application of robotics to a mobility aid for the elderly blind
Autonomous robot path planning in dynamic environment using a new optimization technique inspired by bacterial foraging technique
Metric-based detection of robot kidnapping with an SVM classifier
Self-localization in non-stationary environments using omni-directional vision
Robust multi-robot coordination in pick-and-place tasks based on part-dispatching rules
Assisted navigation for a brain-actuated intelligent wheelchair
A vision system for object verification and localization based on local features
A code of conduct for robots coexisting with human beings
Intelligent autonomous systems
Texture-less object detection and 6D pose estimation in RGB-D images
LIDAR based detection of road boundaries using the density of accumulated point clouds and their gradients
Editorial: Special issue on Autonomous Driving and Driver Assistance Systems - Some main trends
Differential evolution solution to the SLAM problem
VisibleSim: A behavioral simulation framework for lattice modular robots
Intelligent autonomous systems (IAS-8)
Coordinated control of a dual-arm robot for surgical instrument sorting tasks
Knowledge mining for biomimetic smart antenna shapes
Behavioral control through evolutionary neurocontrollers for autonomous mobile robot navigation
A hierarchical approach for primitive-based motion planning and control of autonomous vehicles
Planar bipedal locomotion control based on state discretization
Dynamic alternation of primate response properties during trial-and-error knowledge updating
A motion planning and execution system for mobile robots driven by stepping motors
An essential model for generating walking motions for humanoid robots
Enhancing continuous control of mobile robots for end-to-end visual active tracking
EMG-based decoding of grasp gestures in reaching-to-grasping motions
Finding degenerate conics by in-plane rotations: A direct perspective-three-point solver
Combining reinforcement learning with rule-based controllers for transparent and general decision-making in autonomous driving
A comprehensive grasp taxonomy of continuum robots
Adaptive estimation of UAV altitude in complex indoor environments using degraded and time-delayed measurements with time-varying uncertainties
Comparative study of performance indices for fundamental robot manipulators
Analysis and solution of a predator-protector-prey multi-robot system by a high-level reinforcement learning architecture and the adaptive systems theory
Plant detection and mapping for agricultural robots using a 3D LIDAR sensor
On planar self-folding magnetic chains: Comparison of Newton-Euler dynamics and internal energy optimisation
Control of camera motions from the planning of image contours
Shape-Guided Detection: A joint network combining object detection and underwater image enhancement together
Research on optimized time-synchronous online trajectory generation method for a robot arm
Camera relative pose estimation for visual servoing using quaternions
Path planning with general end-effector constraints
Collaborative coverage using a swarm of networked miniature robots
Intelligent control of robotic systems with application in industrial processes
Execution monitoring in robotics: A survey
Costs and benefits of behavioral specialization
Advancing students' computational thinking skills through educational robotics: A study on age and gender relevant differences
Adaptive modified Stanley controller with fuzzy supervisory system for trajectory tracking of an autonomous armoured vehicle
3D human pose estimation based on 2D-3D consistency with synchronized adversarial training
Very large-scale multi-robot task allocation in challenging environments via robot redistribution
A novel odoQuan Zhangr source localization system based on particle filtering and information entropy
Autonomous landing solution of low-cost quadrotor on a moving platform
On the dynamics of clustering systems
Including probabilistic target detection attributes into map representations
Motion recognition and recovery from occluded monocular observations
Spatio-temporal structure of human motion primitives and its application to motion prediction
RoboNetSim: An integrated framework for multi-robot and network simulation
Control and simulation of a tensegrity-based mobile robot
The effect of robotic wheelchair control paradigm and interface on user performance, effort and preference: An experimental assessment
Assembly processes with robotic systems
Computer generation of geometrical error equations applicable for improvement of robots' positioning accuracy
Reactive versus cognitive vehicle navigation based on optimal local and global PELC ∗
Conceptual spaces for anchoring
On deep learning techniques to boost monocular depth estimation for autonomous navigation
PVS'98 agents: structures, models and production planning application
Self-awareness in intelligent vehicles: Feature based dynamic Bayesian models for abnormality detection
Use of single side reflex for autonomous navigation of mobile robots in unknown environments
Knowledge triggering, extraction and storage via human-robot verbal interaction
A method for understanding and digitizing manipulation activities using programming by demonstration in robotic applications
The WEBOT competition
Characterization of zero tracking error references in the kinematic control of wheeled mobile robots
A versatile door opening system with mobile manipulator through adaptive position-force control and reinforcement learning
Incremental reconstruction of generalized Voronoi diagrams on grids
A sufficient condition for feature agnostic video stabilization for surveillance robots: A state space approach
An overview of transfer nursing robot: Classification, key technology, and trend
Space robotics in Europe
Mapping multiple gas/odor sources in an uncontrolled indoor environment using a Bayesian occupancy grid mapping based method
Mobility in mobile ad-hoc network testbed using robot: Technical and critical review