yusuke1997/dblp-id-title huggingface dataset:
A Unified Recombination and Adversarial Framework for Machine Reading Comprehension
Improved Clustering Strategies for Learning Style Identification in Massive Open Online Courses
Acquisition of Knowledge in the Form of Fuzzy Rules for Cases Classification
Research on the Factors Influencing Users' Adoption Intention of E-commerce Recommendation System
Application of LSTM Model Optimized Based on Adaptive Genetic Algorithm in Stock Forecasting
Data Mining and Big Data - 4th International Conference, DMBD 2019, Chiang Mai, Thailand, July 26-30, 2019, Proceedings
Bulk Price Forecasting Using Spark over NSE Data Set
Non-local Graph Aggregation for Diversified Stock Recommendation
Architecture Proposal for the Information Management in the Generation of Energy in Industry 4.0
Intrusion Detection Method Based on Small Sample Learning
Mining Best Strategy for Multi-view Classification
CSHEM - A Compressed Sensing Based Secure Data Processing Method for Electrical Data
Improved Stability and Stabilization Criteria for T-S Fuzzy Systems with Distributed Time-Delay
Company Family, Innovation and Colombian Graphic Industry: A Bayesian Estimation of a Logistical Model
Explainable Matrix Factorization with Constraints on Neighborhood in the Latent Space
Data Mining and Big Data - 7th International Conference, DMBD 2022, Beijing, China, November 21-24, 2022, Proceedings, Part II
The Temporal Characteristics of a Wandering Along Parallel Semi-Markov Chains
An Entropy-Based Similarity Measure for Collaborative Filtering
Review of Machine Learning Algorithms for Breast Cancer Diagnosis
A Classic Multi-method Collaborative Obfuscation Strategy
Methodology for the Design of a Student Pattern Recognition Tool to Facilitate the Teaching - Learning Process Through Knowledge Data Discovery (Big Data)
Application of Decision Trees in the Development of a Knowledge Base for a System of Support for Revitalization Processes
Data Mining and Big Data - 8th International Conference, DMBD 2023, Sanya, China, December 9-12, 2023, Proceedings, Part I
Analyzing Consumption Behaviors of Pet Owners in a Veterinary Hospital
Big Data Visualization of the Alcohol Expenses in Taiwan
Determinants of the Impact Factor of Publications: A Panel Model for Journals Indexed in Scopus 2017
Proximal Policy Optimization for Same-Day Delivery with Drones and Vehicles
Cascade Spatial Autoregression for Air Pollution Prediction
An FW-DTSS Based Approach for News Page Information Extraction
A Service-Oriented Data Sharing and Exchange Model
Attentive Relational State Representation for Intelligent Joint Operation Simulation
Modeling Inter-country Connection from Geotagged News Reports: A Time-Series Analysis
Early Warning System Based on Data Mining to Identify Crime Patterns
Knowledge Graph Based Chicken Disease Diagnosis Question Answering System
Model for the Incorporation of Big Data in Knowledge Management Oriented to Industry 4.0
Irregular Flight Timetable Recovery Under COVID-19: An Approach Based on Genetic Algorithm
Web Visibility Profiles of Top100 Latin American Universities
Query Reverse Engineering of Pre-deleted Uncorrelated Operators
Discovering Strategy in Navigation Problem
Enhancing Quality of Movies Recommendation Through Contextual Ontological User Profiling
Financial Text Sentiment Analysis Based on ChatGPT - Taking the Real Estate Industry as an Example
Defend Against Poisoning Attacks in Federated Learning
Application of an Experimental Design of D-Optimum Mixing Based on Restrictions for the Optimization of the Pre-painted Steel Line of a Steel Producer and Marketing Company
A Knowledge-Based Framework for Mitigating Hydro-Meteorological Disasters
Spectral-Spatial Mineral Classification of Lunar Surface Using Band Parameters with Active Learning
Efficiency Analysis of the Visibility of Latin American Universities and Their Impact on the Ranking Web
A Collaborative Filtering System Using Clustering and Genetic Algorithms
A Transfer Learning Method Based on ResNet Model
Mining Sequential Patterns of Students' Access on Learning Management System
Multiple Residual Quantization of Pruning
A Network Based Quantitative Method for the Mining and Visualization of Music Influence
An Empirical Study on the Impact of Environmental Policies on Green Total Factor Productivity of Manufacturing Industry in China
Mining Textual Reviews with Hierarchical Latent Tree Analysis
A Data Model Construction Method Based on the Questionnaire Survey
Research on Hot Spot Mining Technology for Network Public Opinion
PCA Based Kernel Initialization for Convolutional Neural Networks
Aerial Scene Understanding Based on Synthetic Data
A Classification Method for Imbalanced Data Based on Ant Lion Optimizer
The Framework of Hammer Credit Rating System for Enterprises in Capital Markets of China with International Standards
Clustering Study of Crowdsourced Test Report with Multi-source Heterogeneous Information
Prevention of Disasters Supported on the Internet of Things and Early Warning Systems
Mining High Utility Sequential Patterns Using Maximal Remaining Utility
SMPG: Adaptive Soft Update for Masked MADDPG
Approximation Relation for Rough Sets
A Novel Complex Pignistic Belief Transform for Conflict Measure in Complex Evidence Theory
Data Analytics Methods in Human Resource Demand Forecasting
Enity Relation Extraction of Industrial Robot PHM Based on BiLSTM-CRF and Multi-head Selection
Local Community Detection Based on Bridges Ideas
BIOG: An Effective and Efficient Algorithm for Influence Blocking Maximization in Social Networks
Prediction and Learning Analysis Using Ensemble Classifier Based on GA in SPOC Experiments
A Hybrid Model Combining SOMs with SVRs for Patent Quality Analysis and Classification
Three-Segment Similarity Measure Model for Collaborative Filtering
Chinese Named Entity Recognition Incorporating Multi-scale Features
Research Hotspots, Emerging Trend and Front of Fraud Detection Research: A Scientometric Analysis (1984-2021)
Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN
Data Mining and Big Data - Second International Conference, DMBD 2017, Fukuoka, Japan, July 27 - August 1, 2017, Proceedings
Research on Off-Path Exploits of Network Protocols
Advanced Predictive Methods of Artificial Intelligence in Intelligent Transport Systems
PEKD: Joint Prompt-Tuning and Ensemble Knowledge Distillation Framework for Causal Event Detection from Biomedical Literature
Efficient Probabilistic Methods for Proof of Possession in Clouds
A Transfer Learning Based Hierarchical Attention Neural Network for Sentiment Classification
Topic Mining of Chinese Scientific Literature Research About "The Belt and Road Initiative" Based on LDA Model from the Sub Disciplinary Perspective
Mining Relationship Between User Purposes and Product Features Towards Purpose-Oriented Recommendation
Personalized Recommendation System of Web Academic Information Based on Big Data and Quality Monitoring Technology
Electronic and Traditional Savings Accounts in Colombia: A Spatial Agglomeration Model
Multi-axis Industrial Robot Fault Diagnosis Model Based on Improved One-Dimensional Convolutional Neural Network
Citescore of Publications Indexed in Scopus: An Implementation of Panel Data
Adaptive and Dynamic Knowledge Transfer in Multi-task Learning with Attention Networks
Dynamics of the Air Passenger Transportation Market in Colombia (2016)
Multiple Kernel Shadowed Clustering in Approximated Feature Space
Stance Detection on Microblog Focusing on Syntactic Tree Representation
Application of a Central Design Composed of Surface of Response for the Determination of the Flatness in the Steel Sheets of a Colombian Steel
Design Tool of Deep Convolutional Neural Network for Visual Inspection
Application of the Spatial Data Mining Methodology and Gamification for the Optimisation of Solving the Transport Issues of the "Varsovian Mordor"
Research and Analysis of Video-Based Human Pose Estimation
Public Opinion Toward Social Business from a Social Media Perspective
Intelligent Attack Behavior Portrait for Path Planning of Unmanned Vehicles
Accurate Decision-Making Method for Air Combat Pilots Based on Data-Driven
Term Space Partition Based Ensemble Feature Construction for Spam Detection
Named Entity Recognition of Wa Cultural Information Resources Based on Attention Mechanism
A Joint Method for Combat Intent Recognition and Key Information Extraction
Study on the Prediction of Rice Noodle Raw Material Index Content by Deep Feature Fusion
Application of Data Mining for Behavior Pattern Recognition in Telecommunication
A New Approach for Ontology Generation from Relational Data Design Patterns
Identification of Sentiment Labels Based on Self-training
Research on Short-Term Urban Traffic Congestion Based on Fuzzy Comprehensive Evaluation and Machine Learning
Fuzzy C-Means in Lower Dimensional Space for Topics Detection on Indonesian Online News
Expert Finding in CQA Based on Topic Professional Level Model
A Generalized χ 2 Divergence for Multisource Information Fusion
A Sequential k -Nearest Neighbor Classification Approach for Data-Driven Fault Diagnosis Using Distance- and Density-Based Affinity Measures
Impact of Implementing Industry 4.0 in Colombia's Supply Chains
Node Importance-Based Semi-supervised Nonnegative Matrix Factorization for Image Clustering
A Geo-Social Data Model for Moving Objects
Probabilistic Mining in Large Transaction Databases
Data Models in NoSQL Databases for Big Data Contexts
An Improved Unsupervised White Blood Cell Classification via Contrastive Learning
Big Data and Blockchain Basis for Operating a New Archetype of Supply Chain
Knowledge Learning-Based Brain Storm Optimization Algorithm for Multimodal Optimization
Research on Data Mining Methods in the Field of Quality Problem Analysis Based on BERT Model
A Multi-branch Ensemble Agent Network for Multi-agent Reinforcement Learning
Blockchain-Based Integrity Auditing with Secure Deduplication in Cloud Storage
Co-creation Model in Small and Medium Businesses: Case Study of the Colombian Dairy Sector
Analysis of Breast Cancer Detection Using Different Machine Learning Techniques
A Deep Reinforcement Learning Approach for Cooperative Target Defense
Compound Fault Diagnosis of Industrial Robot Based on Improved Multi-label One-Dimensional Convolutional Neural Network
A Two-Stage Approach to Optimize Medical Waste Transportation Problem During Pandemic
A Range Query Processing Algorithm Hiding Data Access Patterns in Outsourced Database Environment
Machine Learning Techniques for Prediction of Pre-fetched Objects in Handling Big Data Storage
A Self-adaptive Two-Stage Local Expansion Algorithm for Community Detection on Complex Networks
The Effect of Organizational Learning Ability on Innovative Behavior of Scientific Research Personnel in Universities
A New Deep Reinforcement Learning Algorithm for UAV Swarm Confrontation Game
Secure Cross-User Fuzzy Deduplication for Images in Cloud Storage
Data Mining Using Clustering Techniques as Leprosy Epidemiology Analyzing Model
Utilising the Cross Industry Standard Process for Data Mining to Reduce Uncertainty in the Measurement and Verification of Energy Savings
Sector Error-Oriented Durability-Aware Fast Repair in Erasure-Coded Cloud Storage Systems
Analysis and Prediction of Heart Diseases Using Inductive Logic and Image Segmentation
A Lattice-Based Anonymous Authentication for Privacy Protection of Medical Data
Improved Joint Distribution Adaptation for Fault Diagnosis
Big Data Meaning in the Architecture of IoT for Smart Cities
Prediction of Oil Temperature for Transformers Using Gated Recurrent Unit
A Deep Point-of-Interest Recommendation System in Location-Based Social Networks
Short-Term Traffic Condition Prediction Based on Multi-source Data Fusion
Research on Fault Detection and Diagnosis Method of Diesel Engine Air System Based on Deep Learning
Classification of Power Quality Disturbances Using Forest Algorithm
Defending Adversarial Examples by Negative Correlation Ensemble
The Theoretical Analysis of Multi-dividing Ontology Learning by Rademacher Vector
Trust Evaluation Mechanism of Service Nodes Based on Blockchain
Ontology-Based Metadata Model Design of Data Governance System
Bibliometric Analysis of Social Innovation and Complexity (Databases Scopus and Dialnet 2007-2017)
Multi-view Classification via Twin Projection Vector Machine with Application to EEG-Based Driving Fatigue Detection
Conglomerates of Latin American Countries and Public Policies for the Sustainable Development of the Electric Power Generation Sector
Exploring Potential Use of Mobile Phone Data Resource to Analyze Inter-regional Travel Patterns in Japan
Flow Prediction via Multi-view Spatial-Temporal Graph Neural Network
Bibliometric Analysis of the Deep Learning Research Status with the Data from Web of Science
SOBC: A Smart Ocean Oriented Blockchain System for Cross-organizational Data Sharing
PoetryBERT: Pre-training with Sememe Knowledge for Classical Chinese Poetry
Ant-Antlion Optimizer with Similarity Information for Multidimensional Knapsack Problem
Comparison of Prediction Methods on Large-Scale and Long-Term Online Live Streaming Data
Optimization on Arrangement of Precaution Areas Serving for Ships' Routeing in the Taiwan Strait Based on Massive AIS Data
Traceable Identity-Based Ring Signature for Protecting Mobile IoT Devices
Key Indicators for Data Sharing - In Relation with Digital Services
Efficient Multidimensional Pattern Recognition in Kernel Tensor Subspaces
Forecasting Chinese Overnight Stock Index Movement Using Large Language Models with Market Summary
An IDL-Based Parallel Model for Scientific Computations on Multi-core Computers
Empirical Analysis on the Effectiveness of Pre-trained Models in the Identification of Physical Violence Against Women in Videos for a Multi-class Approach
An Agricultural Traceability Permissioned Blockchain with Privacy-Aware
A Novel Data-Driven Fault Diagnosis Method Based on Deep Learning
Customer Retention Prediction with CNN
A Rule-Based System to Classify Scheduling Problems and Solution Techniques for Service Systems
Development of 3D Earth Visualization for Taiwan Ocean Environment Demonstration
Multi-Cause Learning for Diagnosis Prediction
REBUILD: Graph Embedding Based Method for User Social Role Identity on Mobile Communication Network
Two-Phase Computing Model for Chinese Microblog Sentimental Analysis
A computer-assisted prosody pronunciation teaching system
CALL-SLT lite: a minimal framework for building interactive speech-enabled CALL applications
A natural user interface game for the evaluation of children with learning difficulties
Improving DNN-Based Automatic Recognition of Non-native Children Speech with Adult Speech
G-g-go! Juuump! Online Performance of a Multi-keyword Spotter in a Real-time Game
Comparison of child-human and child-computer interactions based on manual annotations
Child selection of learning methods: a corpus based on real-world data
Conversations with a virtual science tutor in multimedia learning environments
From competitive to social two-player videogames
Recent advances in sonic Italian children 2 s speech recognition for interactive literacy tutors
Automatic childhood autism detection by vocalization decomposition with phone-like units
Assessing the stress/neutral speech environment in adult/child interactions for applications in child language development
Automatic assessment of language background in toddlers through phonotactic and pitch pattern modeling of short vocalizations
Language model for the web search task in a spoken dialogue system for children
Preliminary study of stress/neutral detection on recordings of children in the natural home environment
Interacting with stories
COMUNICA - tools for speech and language therapy
Automatic assessment of oral reading fluency for Spanish speaking ELs
Using constituency and dependency parse features to identify errorful words in disordered language
Figurines, a multimodal framework for tangible storytelling
Progression in Materials for Learning to Read and Write - a Cross-Language and Cross-Century Comparison of Readers
Detecting problems in spoken child-computer interaction
Visual-feedback in an interactive environment for speech-language therapy
Fantasy, curiosity and challenge as adaptation indicators in multimodal dialogue systems for preschoolers
Can you teach me?: Children teaching new words to a robot in a book reading scenario
A review of ASR technologies for children's speech
Evaluation of reading performance of primary school children: Objective measurements vs. subjective ratings
Automatic prosodic disorders analysis for impaired communication children
An automatic screening test for preschool children: theory and data collection
Children and adults in dialogue with the robot head Furhat - corpus collection and initial analysis
Age-based factors in the interface design of CAPT systems for children
Automatic measurement and analysis of the child verbal communication using classroom acoustics within a child care center
Just in time learning: implementing principles of multimodal processing and learning for education of children with special needs
Emotion recognition from children's speech using anchor models
An empirical analysis of user uncertainty in problem-solving child-machine interactions
Performance of a trialogue-based prototype system for English language assessment for young learners
Automatic recognition of children's read speech for stuttering application
Signal processing for young child speech language development
Automatic detection of children's engagement using non-verbal features and ordinal learning
Affective computer-aided learning for autistic children
Improving speech recognition for children using acoustic adaptation and pronunciation modeling
Towards a language-independent intelligibility assessment of children with cleft lip and palate
Automatic analysis of children's engagement using interactional network features
Correlating ASR errors with developmental changes in speech production: a study of 3-10-year-old European Portuguese children's speech
Monitoring the neural mechanisms of learning
Reading companion: the technical and social design of an automated reading tutor
5th Workshop on Child Computer Interaction, WOCCI 2016, San Francisco, CA, USA, September 6-7, 2016
Automatic Identification of Articulation Disorders for Arabic Children Speakers
Avoiding speaker variability in pronunciation verification of children' disordered speech
Incorporating music into the study of algorithms and computer programming
Phontasia - a phonics trainer for German spelling in primary education
Developing speech processing technologies for shared book reading with a computer
Spoken language processing in a conversational system for child-robot interaction
4st Workshop on Child, Computer and Interaction, WOCCI 2014, Singapore, September 19, 2014
Child automatic speech recognition for US English: child interaction with living-room-electronic-devices
Towards monitoring of children 2 s speech - a case study
Recognizing child's emotional state in problem-solving child-machine interactions
Lexical and affective models in early acquisition of semantics
Identifying impact factors of language development in young children's natural home environment
Whole body interaction for child-centered multimodal language learning
Robustness optimization of a speech interface for child-directed embedded language tutoring
A comparison of read and spontaneous children 2 s speech recognition
A reference verification framework and its application to a children's speech reading tracker
Linguistic analysis of spontaneous children speech
The Future Belongs to the Curious: Towards Automatic Understanding and Recognition of Curiosity in Children
Comparison of speaker verification performance for adult and child speech
Automatic detection of pragmatic deficits in children with autism
Improving oral reading fluency assessment using automatic speech processing technologies
Emotion in the speech of children with autism spectrum conditions: prosody and everything else
Natural emotion elicitation for emotion modeling in child-robot interactions
A case study using data exploration of spelling errors towards designing automated interactive diagnostics
A novel corpus of children 2 s disordered speech
Second Workshop on Child, Computer and Interaction, WOCCI 2009, Cambridge, MA, USA, November 5, 2009
Automatic detection of sigmatism in children
Comparing open source ASR toolkits on Italian children speech
HMM-based synthesis of child speech
Learning meaningful units from multimodal input - the effect of interaction strategies
First Workshop on Child, Computer and Interaction, WOCCI 2008, Chania, Crete, Greece, October 23, 2008
Cognitive and emotional linguistic interaction
How to model and augment player satisfaction: a review
Automatic classification of reading disorders in a single word reading test
6th International Workshop on Child Computer Interaction, WOCCI 2017, Glasgow, Scotland, UK, November 13, 2017
Comparison of two scoring method within i-vector framework for speaker recognition from children's speech
Upper limb rehabilitation and evaluation of children using a humanoid robot
Hands-on speech science exhibition for children at a science museum
Integrating computer games in speech therapy for children who stutter
Phontasia: A phonics game for German and its effect on orthographic skills-first corpus explorations
The role of phonological processes and acoustic confusability in phone errors in children's ASR
Comprehension improvement using local confidence measure: towards automatic transcription for classroom
A generative model for scoring children 2 s reading comprehension
Towards an embedded language tutoring system for children
Using automatic speech recognition to assess the reading proficiency of a diverse sample of middle school students
Comparing child and adult language: exploring semantic constraints
MeEmo - Using an Avatar to Improve Social Skills in Children with ASD
Can you guess who I am?: An interactive task for young learners to practice yes/no question formation in English
Pilot experiments on children's voice recording
Acoustical analysis of engagement behavior in children
Coherence in child language narratives: a case study of annotation and automatic prediction of coherence
Does affect affect automatic recognition of children 2 s speech?
Third Workshop on Child, Computer and Interaction, WOCCI 2012, Portland, OR, USA, September 14, 2012
Investigating the influence of virtual peers as dialect models on students' prosodic inventory
Formative feedback in an interactive spoken CALL system
Optimization of Thinned Phased Arrays Using Evolutionary Programming
Evolving Nonlinear Controllers for Backing up a Truck-and-Trailer Using Evolutionary Programming
Proceedings of the Fourth Annual Conference on Evolutionary Programming, EP 1995, San Diego, CA, USA, March 1-3, 1995
Evolving Artificial Neural Networks through Evolutionary Programming
Evolving Spatially-Localized Projection Filters for SAR Automatic Target Recognition
Adaptive Strategies for Abating Climate Change: An Example of Policy Analysis for Complex Adaptive Systems
What does the Landscape of a Hopfield Associative Memory Look Like?
An Analysis of Evolutionary Algorithms Based on Neighborhood and Step Sizes
The Effects of Noise on Self-Adaptive Evolutionary Optimization
Acquisition of General Adaptive Features by Evolution
Multi-operator Evolutionary Programming: A Preliminary Study on Function Optimization
A Comparison of Self-Adaptation Methods for Finite State Machines in Dynamic Environments
On Making Problems Evolutionarily Friendly - Part 1: Evolving the Most Convenient Representations
Fully Automated and Rapic Flexible Docking of Inhibitors Covalently Bound to Serine Proteases
Random Search versus Genetic Programming as Engines for Collective Adaptation
A Combined Stochastic and Deterministic Approach for Classification Using Generalized Mixture Densities
Local Hillclimbing on an Economic Landscape
A Two-Phase Evolutionary Programming for General Constrained Optimization Problem
Design of a High-Gain Operational Amplifier and Other Circuits by Means of Genetic Programming
A Cultural Algorithm Framework to Evolve Multi-Agent Cooperation with Evolutionary Programming