yusuke1997/dblp-id-title huggingface dataset:
Hawk: An industrial-strength multi-label document classifier
SIDU-TXT: An XAI algorithm for NLP with a holistic assessment approach
Topic specificity: A descriptive metric for algorithm selection and finding the right number of topics
Enhancing grammatical documentation for endangered languages with graph-based meaning representation and Loopy Belief Propagation
Evaluation of google translate for Mandarin Chinese translation using sentiment and semantic analysis
Llama3SP: A resource-Efficient large language model for agile story point estimation
Towards Improvement of Grounded Cross-lingual Natural Language Inference with VisioTextual Attention
Sentiment analysis for stock market research: A bibliometric study
A synergistic multi-stage RAG architecture for boosting context relevance in data science literature
Enabling action crossmodality for a pretrained large language model
Sentiment analysis of Mizo using lexical features in low resource based models
A combined AraBERT and Voting Ensemble classifier model for Arabic sentiment analysis
A review of sentiment analysis for Afaan Oromo: Current trends and future perspectives
Precise length control for large language models
BERT-KAN: Enhancing bilingual sentiment analysis in bangladeshi E-commerce through fine-tuned large language models
GPT-4o in radiology: In-context learning based automatic generation of radiology impressions
On the relation between K-L divergence and transfer learning performance on causality extraction tasks
Token and part-of-speech fusion for pretraining of transformers with application in automatic cyberbullying detection
Contrastive learning for hierarchical topic modeling
Kurdish end-to-end speech synthesis using deep neural networks
Sentiment analysis and opinion mining on educational data: A survey
OVALYTICS: Enhancing Offensive Video Detection with YouTube Transcriptions and Advanced Language Models
Improving aspect-based sentiment analysis with contrastive learning
Multi-aspect attentive text representations for simple question answering over knowledge base
Providing Citations to Support Fact-Checking: Contextualizing Detection of Sentences Needing Citation on Small Wikipedias
Bipol: A novel multi-axes bias evaluation metric with explainability for NLP
RACHNA: Racial hoax code mixed Hindi-English with novel language augmentation
Detecting cognitive engagement in online course forums: A review of frameworks and methodologies
OdNER: NER resource creation and system development for low-resource Odia language
Towards a large sized curated and annotated corpus for discriminating between human written and AI generated texts: A case study of text sourced from Wikipedia and ChatGPT
Validating pretrained language models for content quality classification with semantic-preserving metamorphic relations
Harnessing large language models over transformer models for detecting Bengali depressive social media text: A comprehensive study
It is all in the [MASK]: Simple instruction-tuning enables BERT-like masked language models as generative classifiers
Deep temporal modelling of clinical depression through social media text
A survey on Named Entity Recognition - datasets, tools, and methodologies
Comparative analysis of Mixture-of-Agents models for natural language inference with ANLI data
Homophobia and transphobia span identification in low-resource languages
A multi-way parallel named entity annotated corpus for English, Tamil and Sinhala
ConBERT-RL: A policy-driven deep reinforcement learning based approach for detecting homophobia and transphobia in low-resource languages
Research on the methodology of personalized recommender systems based on multimodal knowledge graphs
A multi-class cyberbullying classification on image and text in code-mixed Bangla-English social media content
Exploring the frontiers of deep learning and natural language processing: A comprehensive overview of key challenges and emerging trends
Distributed training of large language models: A survey
Predicting Facebook sentiments towards research
Conceptual commonsense-aware attentive modeling with pre-trained masked language models for humor recognition
A survey on chatbots and large language models: Testing and evaluation techniques
Emotion on the edge: An evaluation of feature representations and machine learning models
Homophobia and transphobia detection for low-resourced languages in social media comments
Similarity learning of product descriptions and images using multimodal neural networks
Deep learning-based natural language processing in human-agent interaction: Applications, advancements and challenges
Quantifying extreme opinions on Reddit amidst the 2023 Israeli-Palestinian conflict
Lexical, sentiment and correlation analysis of sacred writings. A tale of cultural influxes and different ways to interpret reality
Do cues in a video help in handling rare words in a machine translation system under a low-resource setting?
A hybrid BERT-BiRNN framework for mental health prediction using textual data
Gender bias in transformers: A comprehensive review of detection and mitigation strategies
Summarizing long scientific documents through hierarchical structure extraction
Decoding depression: Analyzing social network insights for depression severity assessment with transformers and explainable AI
Machine learning vs. rule-based methods for document classification of electronic health records within mental health care - A systematic literature review
Understanding latent affective bias in large pre-trained neural language models
Recent advancements in automatic disordered speech recognition: A survey paper
Cutting through the noise to motivate people: A comprehensive analysis of COVID-19 social media posts de/motivating vaccination
ParKQ: An automated Paraphrase ranKing Quality measure that balances semantic similarity with lexical diversity
Active learning with feature matching for clinical named entity recognition
A transformer based multi task learning approach to multimodal hate speech detection
Leveraging large language models to predict unplanned ICU readmissions from electronic health records
Employing large language models in survey research
Sentimental Contrastive Learning for event representation
Whose morality do they speak? Unraveling cultural bias in multilingual language models
CapsF: Capsule Fusion for Extracting psychiatric stressors for suicide from Twitter
Ensemble learning with soft-prompted pretrained language models for fact checking
MISTRA: Misogyny Detection through Text-Image Fusion and Representation Analysis
Improving multilabel text emotion detection with emotion interrelation anchors
Advances in machine transliteration methods, limitations, challenges, applications and future directions
The performance of the LSTM-based code generated by Large Language Models (LLMs) in forecasting time series data
Trusted knowledge extraction for operations and maintenance intelligence
Scholarly recommendation system for NIH funded grants based on biomedical word embedding models
Recent advancements and challenges of NLP-based sentiment analysis: A state-of-the-art review
Adversarial distractor generation for MCQA: Leveraging in-context learning and rule-based approaches
Enhancing aspect-based sentiment analysis with BERT-driven context generation and quality filtering
Ontology-based data interestingness: A state-of-the-art review
A systematic review of figurative language detection: Methods, challenges, and multilingual perspectives
Position-aware end-to-end cross-document event coreference resolution for Dutch
Next-generation image captioning: A survey of methodologies and emerging challenges from transformers to Multimodal Large Language Models
Using Bidirectional Encoder Representations from Transformers (BERT) to classify traffic crash severity types
Personality and emotion - A comprehensive analysis using contextual text embeddings
A Bidirectional LSTM approach for written script auto evaluation using keywords-based pattern matching
Automatic detection of manipulated Bangla news: A new knowledge-driven approach
Auto-DSM: Using a Large Language Model to generate a Design Structure Matrix
Large language models for ingredient substitution in food recipes using supervised fine-tuning and direct preference optimization
Bayesian Q-learning in multi-objective reward model for homophobic and transphobic text classification in low-resource languages: A hypothesis testing framework in multi-objective setting
Bridging gaps in natural language processing for Yorùbá: A systematic review of a decade of progress and prospects
Financial sentiment analysis for pre-trained language models incorporating dictionary knowledge and neutral features
Language augmentation approach for code-mixed text classification
Multi-agent deep reinforcement learning for computation offloading in cooperative edge network
Efficient Management of Persistent Knowledge
Causal inference for social discrimination reasoning
IbLT: An effective granular computing framework for hierarchical community detection
Five Steps to Construct a Model of Data Allocation for Distributed Database Systems
Selecting Among Rules Induced from a Hurricane Database
Maintaining frequent closed itemsets over a sliding window
Temporal Coupling Verification in Time Series Databases
A statistical approach for modeling inter-document semantic relationships in digital libraries
Instrument identification and pitch estimation in multi-timbre polyphonic musical signals based on probabilistic mixture model decomposition
Building and using temporal knowledge in archaeological documentation
Data Mining in Large Databases Using Domain Generalization Graphs
Research interests: their dynamics, structures and applications in unifying search and reasoning
An Ontology driven model for detection and classification of cardiac arrhythmias using ECG data
SCDBR: An Automated Reasoner for Specifications of Database Updates
Windows and IoT malware visualization and classification with deep CNN and Xception CNN using Markov images
Foreword: Special Issue on Active Database Systems
A survey of Big Data dimensions vs Social Networks analysis
The ESTEEM platform: enabling P2P semantic collaboration through emerging collective knowledge
Levelwise Search and Pruning Strategies for First-Order Hypothesis Spaces
Reliable TF-based recommender system for capturing complex correlations among contexts
Improving process algebra model structure and parameters in infectious disease epidemiology through data mining
From Fuzzy Databases to Intelligent Manual Using Fril
Fast progressive training of mixture models for model selection
An adaptive learning automata-based ranking function discovery algorithm
Summarizing consumer reviews
Improving knowledge-based dialogue generation through two-stage knowledge selection and knowledge selection-guided pointer network
Prompted and integrated textual information enhancing aspect-based sentiment analysis
A Formal Semantics for an Active Functional DBPL
Local optimal scale in a hierarchical segmentation method for satellite images - An OBIA approach for the agricultural landscape
Borders: An Efficient Algorithm for Association Generation in Dynamic Databases
Data Model and Query Evaluation in Global Information Systems
Integrating Medical Expert Systems, Patient Data-Bases and User Interfaces
An Interface Agent Approach to Personalize Users' Interaction with Databases
Clustering High Dimensional Massive Scientific Datasets
Leveraging autoencoders in change vector analysis of optical satellite images
Toward finding hidden communities based on user profile
Community-based anomaly detection in evolutionary networks
A case study comparing machine learning with statistical methods for time series forecasting: size matters
Frequency roughness analysis in image processing and game design
Experimental validation for N-ary error correcting output codes for ensemble learning of deep neural networks
A Data Cube Model for Prediction-Based Web Prefetching
MMusic: a hierarchical multi-information fusion method for deep music recommendation
Types of minority class examples and their influence on learning classifiers from imbalanced data
Sports recommender systems: overview and research directions
Improving customer acquisition models by incorporating spatial autocorrelation at different levels of granularity
AWML: adaptive weighted margin learning for knowledge graph embedding
Proximity-based federation of smart objects - Its graph-rewriting framework and correctness
Fine-grained relation contrast enhancement of knowledge graph for recommendation
Extending expressivity and flexibility of abductive logic programming
CAESAR: context-aware explanation based on supervised attention for service recommendations
Modeling temporal dimensions of semistructured data
Induction of Ripple-Down Rules Applied to Modeling Large Databases
Efficient question classification and retrieval using category information and word embedding on cQA services
Efficient approximate top-k mutual information based feature selection
DiffKD: collaborative graph diffusion with knowledge distillation for multimodal recommendation
Learning from data streams with only positive and unlabeled data
Effective defense against fingerprinting attack based on autocorrelation property minimization approach
Using temporal constraints for temporal abstraction
Incorporating communities' structures in predictions of missing links
Granular computing for relational data classification
Functional Behavioral Assessment Using the LERS Data Mining System - Strategies for Understanding Complex Physiological and Behavioral Patterns
FARICS: a method of mining spatial association rules and collocations using clustering and Delaunay diagrams
Crowd Sourced Semantic Enrichment (CroSSE) for knowledge driven querying of digital resources
Interpretability-based validity methods for clustering results evaluation
Bayesian networks for imputation in classification problems
Inferring preferences in ontology-based recommender systems using WOWA
Activity prediction in process mining using the WoMan framework
Authorization and Access Control of Application Data in Workflow Systems
Top-N music recommendation framework for precision and novelty under diversity group size and similarity
Integrating Information via Matchmaking
Detecting bipolar disorder on social media by post grouping and interpretable deep learning
The Role of Abduction in Database View Updating
Mechanical Proof Systems for Logic II, Consensus Programs and Their Processing
Temporal Pattern Matching Using Fuzzy Templates
Is it DSS or OLTP: automatically identifying DBMS workloads
Leveraging posts' and authors' metadata to spot several forms of abusive comments in Twitter
Neighborhood graphs for indexing and retrieving multi-dimensional data
Multi-level language interaction transformer for multimodal sentiment analysis
MTara A. Smyser ultilingual news extraction via stopword language model scoring
AI infers DoS mitigation rules
Using Dempster-Shafer's Theory of Evidence to Combine Aspects of Information Use
Robust learning in expert networks: a comparative analysis
Mining top-k frequent patterns over data streams sliding window
Measuring the structural similarity among XML documents and DTDs
Enhancing sentiment and emotion translation of review text through MLM knowledge integration in NMT
An Analytical Approach to Concept Extraction in HTML Environments
An expressive event-based language for representing user behavior patterns
MhSa-GRU: combining user's dynamic preferences and items' correlation to augment sequence recommendation
Adaptive Intelligent Agents
Producing efficient retrievability ranks of documents using normalized retrievability scoring function
Rotation-invariant similarity in time series using bag-of-patterns representation
Multi-class classification of COVID-19 documents using machine learning algorithms
Using ontology databases for scalable query answering, inconsistency detection, and data integration
View Inference for Heterogeneous XML Information Integration
Intentional tendency-based dynamic heterogeneous graph network for emotion recognition in conversations
Dynamic memory-enhanced federated learning framework with trusted computing for multi-source data analysis
Upper bounds for can-tree and FP-tree
A formalized framework for incorporating expert labels in crowdsourcing environment
OBCAS: an agent-based system and ontology for mobile context aware interactions
Message classification as a basis for studying command and control communications - an evaluation of machine learning approaches
An enhanced opinion retrieval approach via implicit feature identification
Consistency measures for feature selection
Measuring network reliability and repairability against cascading failures
BERT-PG: a two-branch associative feature gated filtering network for aspect sentiment classification
Context recognition using internet as a knowledge base
Approximate schemas, source-consistency and query answering
A motif-based probabilistic approach for community detection in complex networks
Feature learning and deep architectures: new directions for music informatics
Geometrical codification for clustering mixed categorical and numerical databases
Support vector classifier based on fuzzy c -means and Mahalanobis distance
Data clustering using bacterial foraging optimization
A Dynamic Programming Algorithm for Linear Text Segmentation
Null values in fuzzy databases
Optimizing Recursive Information Gathering Plans in EMERAC
Making design decisions under uncertainties: probabilistic reasoning and robust product design
Using an explainable machine learning approach to prioritize factors contributing to healthcare professionals' burnout
Word embedding for mixed-emotions analysis
Pitch Detection Enhancement Employing Music Prediction
Privacy-preserving shared collaborative web services QoS prediction
A Mediator for Approximate Consistency: Supporting "Good Enough" Materialized Views
A Deductive Database Approach to A.I. Planning
Semantic-enhanced reasoning question answering over temporal knowledge graphs
SESAME - self-supervised framework for extractive question answering over document collections
Meme ranking to maximize posts virality in microblogging platforms
Using reinforcement learning with external rewards for open-domain natural language generation
A parallel computing framework for real-time moving object detection on high resolution videos
Guest editors' introduction to the special issue on flexible queries in information systems
Enhancing anomaly detectors with LatentOut
A conceptual model for user-centered quality information retrieval on the World Wide Web
Classification and clustering with continuous time Bayesian network models
The human is the loop: new directions for visual analytics
Temporal knowledge completion enhanced self-supervised entity alignment
Extending Datalog with Declarative Updates
A multi-aspect approach to ontology matching based on Bayesian cluster ensembles
Holistic primary key and foreign key detection
A framework for aspect based sentiment analysis on turkish informal texts
Meta learning-based relevant user identification and aggregation for cold-start recommendation
Detection of risk factors using trajectory mining
Automatic musical instrument classification using fractional fourier transform based- MFCC features and counter propagation neural network
The Relational Structure of Belief Networks
Discovering Patterns from Large and Dynamic Sequential Data
Impact of techniques to reduce error in high error rule-based expert system gradient descent networks
Intelligent Databases: Old Challenges and New Opportunities
Two-tier network anomaly detection model: a machine learning approach
Modeling complex longitudinal consumer behavior with Dynamic Bayesian networks: an Acquisition Pattern Analysis application
A method for reduction of examples in relational learning
Clustering in Dynamic Spatial Databases
Self-supervised opinion summarization with multi-modal knowledge graph
The Multi-Tree Cubing algorithm for computing iceberg cubes
Feature Weight Maintenance in Case Bases Using Introspective Learning
Interval Set Clustering of Web Users with Rough K -Means
An Architecture of an Intelligent System for Routing User Requests in a Network of Heterogeneous Databases
Recent advances in mining patterns from complex data
Holes in joins
Guest Editor's Introduction: Special Issue on Web Content Mining
Query-driven approach of contextual ontology module learning using web snippets
Hybrid Transformer-CNN architecture for multivariate time series forecasting: Integrating attention mechanisms with convolutional feature extraction
Fast and scalable vector similarity joins with MapReduce
An enhancement on Clinical Data Analytics Language (CliniDAL) by integration of free text concept search
Noise reduction for instance-based learning with a local maximal margin approach
Classifying the content of online notepad services using active learning
Information ecology: open system environment for data, memories, and knowing
UTLDR: an agent-based framework for modeling infectious diseases and public interventions
Qualitative Reasoning with Imprecise Probabilities
A knowledge-enhanced interactive graph convolutional network for aspect-based sentiment analysis
Content based image retrieval via a transductive model
Unified domain-specific language for collecting and processing data of social media
Knowledge-driven delivery of home care services
Extending the rand, adjusted rand and jaccard indices to fuzzy partitions
Fake news detection based on statement conflict
Semantic event relationships identification and representation using HyperGraph in multimedia digital ecosystem
CONCORD: enhancing COVID-19 research with weak-supervision based numerical claim extraction
Subspace tree: high dimensional multimedia indexing with logarithmic temporal complexity
Reducing the size of databases for multirelational classification: a subgraph-based approach
Multi-task learning for toxic comment classification and rationale extraction
Healthcare predictive analytics for disease progression: a longitudinal data fusion approach
Evaluation in Music Information Retrieval
Recommender Systems Research: A Connection-Centric Survey
A Default Logic Based Framework for Context-Dependent Reasoning with Lexical Knowledge
Knowledge-Directed Adaptation in Multi-Level Agents
A new slope one based recommendation algorithm using virtual predictive items
Guest Editor Introduction: Scientific and Statistical Database Management
Recommendation using DMF-based fine tuning method
A Data Model for Processes Based on Relative Time
A just-in-time keyword extraction from meeting transcripts using temporal and participant information
The rating prediction task in a group recommender system that automatically detects groups: architectures, algorithms, and performance evaluation
Semantic similarity aggregators for very short textual expressions: a case study on landmarks and points of interest
Mediator-Based Evolutionary Design and Development of Image Meta-Analysis Environments
Distrust seed set propagation algorithm to detect web spam
Vocal Access to a Newspaper Archive: Assessing the Limitations of Current Voice Information Access Technology
The importance of the label hierarchy in hierarchical multi-label classification
Ranking Strategies for Navigation Based Query Formulation
Enhancing inter-sentence coherence of extractive summarization with multitask learning
Exploring the trie of rules: a fast data structure for the representation of association rules
Foundations of Visual Metaphors for Schema Display
Improving the prediction of page access by using semantically enhanced clustering
Hybrid sentiment analysis framework for a morphologically rich language
Generating a Condensed Representation for Association Rules
Minimum Cross-Entropy Approximation for Modeling of Highly Intertwining Data Sets at Subclass Levels
Hidden Markov Models for Text Categorization in Multi-Page Documents
A contextual-bandit approach for multifaceted reciprocal recommendations in online dating
( alpha , k )-anonymous data publishing
Erratum to: A hierarchical multi-criteria sorting approach for recommender systems
Incremental Design of a Data Warehouse