yusuke1997/dblp-id-title huggingface dataset:
Usage of Electronic Resources by Faculty Members of Doaba College, Jalandhar: A Case Study
Comparison of Design and Content Features of North-Eastern Hill University (NEHU) and Mizoram University (MZU) Websites: A Study
Leveraging Mobile Devices in Enhancing Information Services: Perception of Students in Different Universities of Delhi
Evaluation of Indian Institute of Management Bangalore Library Web OPAC: A Case Study
A Bibliometric Study on World Digital Libraries: An International Journal
Content Evaluation of Indian Institutes of Technology Library Websites in India
Harvesting capability of Google scholar: a comparative study of three major journal lists - Directory of Open Access Journals, Highwire, and BioMed Central
Use of Mobile Devices for Improving the Research Work by Research Scholars of the University of Delhi and University of Hyderabad: A Study
An Overview of Karnataka State's Digital Public Library Initiative
Status of E-resources in Select University Libraries of Haryana
Ontology-based Model for Organizational Knowledge Transactions
Citation Analysis in Open Access World: A Case Study of Health Science Open Access Repositories
An Evaluation of Using Library Resources and Services by the Agriculture Scientists in Postgraduate Agriculture College Libraries: special reference to Chhattisgarh, India
Information Management in New Millennium: opportunities & challenges for library professionals
Knowledge Graph Construction for Digital Repositories
MEDLIS: Model for Evaluation of Digital Libraries and Information Services
Text Analytics Applied to Indian Politics
The Game of Hacking Academic Websites
Controlled Vocabulary System for Knowledge Organization: designing a framework
Implementation and Use of Web Analytics for Academic Library Websites
Evaluation of Websites of Select Library Networks in the USA: a study
Knowledge Management through Academic Portal: A Case Study of Bodhidroom E-learning Portal
Comparison of open source software for digital libraries
Integrating the WPIM Process Model with OAIS Information Packages for Data Management Planning Support for Research Data
Online Public Access Catalogues of Selected University Libraries in Delhi: An Evaluative Study
Analysing Publishing Trends in Information and Communication Technology Literature Output Using Scopus Database: a scientometrics analysis
Risk Factors Identification in the Domain of Scientific Data Management: A Generic Assessment Supported by a Delphi Study
Status of Library Automation in Government College Libraries of Karnataka, India
Moving Towards the Next-Generation Library: BRAC University Experience
Social Media and its Impact on Indian Society
Knowledge Management Practices at Goethe Institute Libraries Worldwide
Artificial Intelligence and the Future Libraries
Learning to Build Media and Information Literacy Skills in Thailand
Agent-based web intelligent tutoring system
SpaceCat: Designing an Integrated Library System-Discovery Interface-based Virtual Union Catalogue for Indian Space Research Organization Libraries
Reaffirming Pareto 80/20 rule in Indian Academic Consortia
Collection Management of e-books: A Developing Country Perspective
Adding Value to an Abstracting and Indexing System: The Case of MyAIS, Malaysia
Viewpoints on digital library issues
Digital library infrastructure in Finland - political decisions empowering development
Perceptions of Library and Information Science Professionals Towards Massive Open Online Course: A Survey
Online Citation Tools: A Comparative Study
Perception and Use of Social Media by Library Users of the Aliah University, Kolkata: a study
Digital Information: order or anarchy?
The Semantic Web: past and future
Perceptions of LIS Professionals about Data Curation
Analysing and Representing Data Management Dimensions in Research and Innovation Actions
Usage of E-books in Agricultural Libraries of Northern India
Ontology-based visualization and navigation in an online digital library
Growth and Development of Indian Institutional Digital Repositories in OpenDOAR: A Bird's Eye View
The Effect of Facebook Adoption in an Academic Library
Freelib: a peer-to-peer-based digital library architecture
Use of library services in technological changing environment: a survey
Krishi Vigyan Kendra Libraries in India: Training Implementation Facilities, Services, and Awareness of Library Users
Recognition-free search in graphics stream of PDF
Cybercafés use by the research scientists in agricultural research institutes in Ibadan, Nigeria
Viewpoints on digital library issues: A brief overview of the ongoing EU project SHAMAN: Sustaining Heritage Access through Multivalent ArchiviNg
Scientometric Visualization on Mughal Architecture: tracing research trajectories
A simulation study for a number of simultaneous users of an institutional knowledge repository system
Usage and Attitude of Teacher Educators Towards Educational Technology: A Study
The digital repository of the Swiss Federal Archives: a case study
Improving Information Discovery in Digital Libraries
Free/open source software for library and information management
Diatomscapes exposé: how faculty and digital librarians collaborate to promote and preserve the passion of research (CP3R) for digital future
Effective algorithms of the Moore-Penrose inverse matrices for extreme learning machine
An in-depth study on key nodes in social networks
TextureMask: A merged architecture for low-resolution instance segmentation
ExpertDiscovery system application for the hierarchical analysis of eukaryotic transcription regulatory regions based on DNA codes of transcription
Artificial neural network reduction through oracle learning
Predictive models for cognitive rehabilitation of patients with traumatic brain injury
A fuzzy approach for interpretation of ubiquitous data stream clustering and its application in road safety
Electricity load forecasting in a smart grid system
Expertness framework in multi-agent systems and its application in credit assignment problem
Estimating the predominant number of clusters in a dataset
Cancer class prediction: Two stage clustering approach to identify informative genes
Matryoshka: A HMM based temporal data clustering methodology for modeling system dynamics
FERHD: A feasible approach for extracting fuzzy classification rules from high-dimensional data
A multi-phase approach for classifying multi-dimensional sequence data
DAF : An adaptive computing framework for multimedia data streams analysis
Evaluating indirect and direct classification techniques for network intrusion detection
Label distribution learning with climate probability for ensemble forecasting
Incremental density clustering framework based on dynamic microlocal clusters
Finding association rules that trade support optimally against confidence
Predictive modelling of hospital readmission: Evaluation of different preprocessing techniques on machine learning classifiers
A new optimization layer for real-time bidding advertising campaigns
Rule mining with prior knowledge - a belief networks approach
An adaptive active learning algorithm with informativeness and representativeness
An evidential data fusion method for affective music video retrieval
An integrative gene selection with association analysis for microarray data classification
A methodological approach to mining and simulating data in complex information systems
Real-time detection and trend tracing of burst topics based on Negative Binomial Distribution on spark
Gene selection for enhanced classification on microarray data using a weighted k-NN based algorithm
Combining similarity in time and space for training set formation under concept drift
Behavior-based indices for evaluating communities in online social networks
Trend forecasting of financial time series using PIPs detection and continuous HMM
Selecting different protein representations and classification algorithms in hierarchical protein function prediction
Decision trees for mining data streams
Nonparametric multi-assignment clustering
IIvotes ensemble for imbalanced data
Transcription factor binding site recognition by regularity matrices based on the natural classification method
Approaches to the computer reconstruction of the biological networks
Deep auto-encoder based clustering
Suffix array for multi-pattern matching with variable length wildcards
Outlier detection based on rough sets theory
W-Com2Vec: A topic-driven meta-path- based intra-community embedding for content-based heterogeneous information network
Online discriminative component analysis feature extraction from stream data with domain knowledge
TFI-Apriori: Using new encoding to optimize the apriori algorithm
Combining decomposition and graph capsule network for multi-objective vehicle routing optimization
Learning algorithm selection for comprehensible regression analysis using datasetoids
Analysis and summarization of correlations in data cubes and its application in microarray data analysis
Deep learning approaches for robust prediction of large-scale renewable energy generation: A comprehensive comparative study from a national context
Privacy preserving anonymization of social networks using eigenvector centrality approach
A global optimal algorithm for class-dependent discretization of continuous data
Using correspondence analysis with a large set of transition matrices. Example with eye movement data and fuzzy space windowing
Sentiment analysis: A machine learning utilisation for analyzing the sentiments of facebook and twitter posts
Symbolic adaptive neuro-fuzzy inference for data mining of heterogenous data
A two-stage clustering-based cold-start method for active learning
To feature space and back: Identifying top-weighted features in polynomial Support Vector Machine models
A threshold criterion, auto-detection and its use in MST-based clustering
HC-MOEA: A hierarchical clustering approach for increasing the solution's diversity in multiobjective evolutionary algorithms
Machine Recognition of Hand-Printed Chinese Characters
A practical algorithm for solving the sparseness problem of short text clustering
Effectiveness of ELMo embeddings, and semantic models in predicting review helpfulness
An application of radial basis function networks in operation of home appliances
An evaluation of Naive Bayes variants in content-based learning for spam filtering
Classifying evolving data streams with partially labeled data
Speaker recognition using temporal information and session variability compensation in a binary framework
Time-series data dynamic density clustering
Efficiently explaining the predictions of a probabilistic radial basis function classification network
A novel approach to fully representing the diversity in conditional dependencies for learning Bayesian network classifier
Tracking recurrent concepts using context
Local feature selection using Gaussian process regression
A hybrid deep learning model for predicting and targeting the less immunized area to improve childrens vaccination rate
An iterative refinement approach for data cleaning
Adversarial unsupervised domain adaptation based on generative adversarial network for stock trend forecasting
Graph structure learning based on feature and label consistency
Maintenance of discovered sequential patterns for record deletion
An assessment method for the impact of missing data in the rough set-based decision fusion
Human action categorization using discriminative local spatio-temporal feature weighting
Sentiment analysis and opinion mining applied to scientific paper reviews
Domain sentiment dictionary construction and optimization based on multi-source information fusion
Boosting interval based literals
Sentiment classification based on weak tagging information and imbalanced data
Using learning algorithm behavior to chart task space: The DICES distance
Mining spatiotemporal patterns in dynamic plane graphs
Using optimized statistical distances to confront distributed denial of service attacks in software defined networks
Federated ensemble learning on long-tailed data with prototypes
Active seed selection for constrained clustering
Optimizing star-coordinate visualization models for effective interactive cluster exploration on big data
Association-based similarity testing and its applications
A fuzzy mixed data clustering algorithm by fast search and find of density peaks
Constructing fuzzy graphs from examples
Adapting non-hierarchical multilabel classification methods for hierarchical multilabel classification
Identifying socio-demographically favourable area types for early hybrid electric vehicle adoption through mining of public sector data
Collaborative social deep learning for celebrity recommendation
A study of K-Means-based algorithms for constrained clustering
Incremental RotBoost algorithm: An application for spam filtering
Explainable and unexpectable recommendations using relational learning on multiple domains
Convexity dependant hyperbolic filtering scheme for mode detection in pattern classification
Human interaction recognition method based on parallel multi-feature fusion network
A multi-label feature selection method based on an approximation of interaction information
Constructing outlier-free histograms with variable bin-width based on distance minimization
Growing kernel-based self-organized maps trained with supervised bias
A joint model of extended LDA and IBTM over streaming Chinese short texts
Clustering of large time series datasets
Semi-supervised text categorization: Exploiting unlabeled data using ensemble learning algorithms
Sequential pattern mining algorithms review
Neural-morphological approach for pattern classification
Tree mining: Equivalence classes for candidate generation
Predicting traffic crash severity using hybrid of balanced bagging classification and light gradient boosting machine
Simple nonparallel laplacian SVM for semi-supervised learning on binary classification problem
Sequential patterns for text categorization
A probabilistic framework for automatic term recognition
An overview of advances in reliability estimation of individual predictions in machine learning
Multi-path neural network based on mp-MRI for predicting muscle-invasive bladder cancer
A framework for semantic connection based topic evolution with DeepWalk
Economic and financial news hybrid- classification based on category-associated feature set
Credit scoring based on a Bagging-cascading boosted decision tree
A weighted collaboration network generalization method for privacy protection in C-DBLP
An architectural framework for hybrid intelligent systems: Implementation issues
Inference of node replacement graph grammars
A novel framework to enhance the performance of training distributed deep neural networks
A coevolutionary genetic algorithm using fuzzy clustering
Adaptive algorithms applied to accelerometer biometrics in a data stream context
Statistical model for Japanese abbreviations
An improved k-NN anomaly detection framework based on locality sensitive hashing for edge computing environment
Learning hybridization strategies in evolutionary algorithms
A design heuristic for hybrid classification ensembles in machine learning
TLSTSRec: Time-aware long short-term attention neural network for sequential recommendation
Trust enhanced POI recommendation with collaborative learning
Classification from positive and unlabeled data based on likelihood invariance for measurement
A new methodology for the automatic creation of adaptive hybrid algorithms
Two deterministic selection methods for the initial centers in fuzzy c-means based algorithms
An end-to-end distance measuring for mixed data based on deep relevance learning
Incorporating Wikipedia concepts and categories as prior knowledge into topic models
Probabilistic relational model benchmark generation: Principle and application
Frequent tree pattern mining: A survey
Multi-fuzzy-constrained graph pattern matching with big graph data
Diversity, accuracy and efficiency in ensemble learning: An unexpected result
Performance comparison: Cloud-based vs. open-source NER for English and Polish
Estimating the depth of anesthesia using fuzzy soft computation applied to EEG features
Discovery of spatial association rules in geo-referenced census data: A relational mining approach
Mining skyline frequent-utility patterns from big data environment based on MapReduce framework
Grid-based mode seeking procedure
Ensemble learning with trees and rules: Supervised, semi-supervised, unsupervised
Forecasting, clustering and patrolling criminal activities
Davies Bouldin Index based hierarchical initialization K-means
Learning compositional decision rules using the KEX algorithm
A medical assistant decision-making method based on interval belief rule base with explainability
Detecting noisy instances with the rule-based classification model
Anomaly detection using manifold embedding and its applications in transportation corridors
Non-Euclidean c-means clustering algorithms
Guest Editorial: "Advances in intelligent data analysis"
Cross-modal variable-length hashing based on hierarchy
Performing clustering analysis on collaborative models
Recognition of logical units in log files
Three-stage multi-modal multi-objective differential evolution algorithm for vehicle routing problem with time windows
Matrix compression using the Nyström method
Irrelevant attributes and imbalanced classes in multi-label text-categorization domains
Clustering-based improved adaptive synthetic minority oversampling technique for imbalanced data classification
Alert correlation: Severe attack prediction and controlling false alarm rate tradeoffs
Applying various distance functions and feature extraction schemes to ambiguity resolution
Multi-directional and multi-scale perturbation approaches for blind forensic median filtering detection
An approach to the mean shift outlier model by Tikhonov regularization and conic programming
Monitoring human information processing via intelligent data analysis of EEG recordings
SARW: Similarity-Aware Random Walk for GCN
New composite evolutionary computation algorithm using interactions among genetic evolution, individual learning and social learning
A co-training algorithm based on modified Fisher's linear discriminant analysis
Adaptive boosting techniques in heterogeneous and spatial databases
Multi-granularity user interest modeling and interest drift detection
Using a Human Disease Network for augmenting prior knowledge about diseases
Condensed fuzzy nearest neighbor methods based on fuzzy rough set technique
An introduction to symbolic data analysis and the SODAS software
An improved particle swarm optimization for feature selection
A hierarchical clustering method: Applications to educational data
A scale fuzzy windowing comparison applied to multivariate descriptive analysis
NonPC: Non-parametric clustering algorithm with adaptive noise detecting
Efficient mining of maximal correlated weight frequent patterns
Discovering functional dependencies from similarity-based fuzzy relational databases
From local trend extraction to symbolization of time-series
Internal link prediction: A new approach for predicting links in bipartite graphs
Determination of data dimensionality in hyperspectral imagery - A noise-adjusted transformed Derschgorin disk approach
A novel algorithm for searching frequent gradual patterns from an ordered data set
LaplaceConfidence: A graph-based approach for learning with noisy labels
Automatic skill acquisition in reinforcement learning using graph centrality measures
Combining jumping knowledge into traffic forecasting: An attention-based spatial-temporal adaptive integration gated network
Classification of intrusion detection alerts using abstaining classifiers
Supervised probabilistic latent semantic analysis with applications to controversy analysis of legislative bills
A statistical approach to multivariate measurement validation
Learning to reason about data: The spring school on intelligent data analysis
Recognition of speech emotion using custom 2D-convolution neural network deep learning algorithm
OpTunedSMOTE: A novel model for automated hyperparameter tuning of SMOTE in software defect prediction
Fast multi-label SVM training based on approximate extreme points
A batch-mode active learning SVM method based on semi-supervised clustering
Information granularity-based incremental feature selection for partially labeled hybrid data
A discriminating study between three categories of banks based on statistical learning approaches
LAMB: A novel algorithm of label collaboration based multi-label learning
Stock market network based on bi-dimensional histogram and autoencoder
Efficient resource scheduling for the analysis of Big Data streams
Lightweight unmanned aerial vehicle object detection algorithm based on improved YOLOv8
Positive public opinion guidance model based on dual learning in social network
Analyzing concept drift: A case study in the financial sector
Combining hybrid rule ordering strategies based on netconf and a novel satisfaction mechanism for CAR-based classifiers
Using a principal component analysis for multi-currencies-trading in the foreign exchange market
Bone feature quantization and systematized attention gate UNet-based deep learning framework for bone fracture classification
When multiple weather variables matter: Intelligent STLF of electricity demand for smart homes
Future trends in business analytics and optimization
SOM-based data analysis of speculative attacks' real effects
Outlier detection in transactional data
Global graph matching using diffusion maps
Kernel based simple regularized multiple criteria linear program for binary classification and regression
Fast Estimation of the Modal Position for Unimodally Distributed Data
Asymmetric multilevel interactive attention network integrating reviews for item recommendation
Empirical evaluation of feature selection methods in classification
Perceptron and SVM learning with generalized cost models
Artificial neural networks applied for estimating a probability density function
Modeling data with observers
A stable credit rating model based on learning vector quantization
Dual-prompt complementary fusion network for RGBT tracking
CCTSDB dataset enhancement based on a cross-augmentation method for image datasets
Penalized additive neural network regression
A discernibility matrix approach to fuzzy soft sets based decision making problems
Bag of frequent subgraphs approach for image classification
Alleviating the independence assumptions of averaged one-dependence estimators by model weighting
Feature learning for representing sparse networks based on random walks
Bagging k-dependence Bayesian network classifiers
Construction of motion phase classification algorithm using ankle joint physical signals
Evaluation of end-to-end aspect-based sentiment analysis methods employing novel benchmark dataset for aspect, and opinion review analysis
Mining high utility itemsets based on the time decaying model
Local linear regression-based unsupervised truth discovery
Mining weighted association rules
Determining dependence relations using a new score based on imprecise probabilities
The role of consultative leadership on administrative development
Dynamic gaussian deep belief network design and stock market application
A feature selection method based on a neighborhood approach for contending with functional and anatomical variability in fMRI group analysis of cognitive states
Finding informative rules in interval sequences
SPaC-NF: A classifier based on sequential patterns with high netconf
Probabilistic optimal projection partition KD-Tree k-anonymity for data publishing privacy protection
Mixture-model cluster analysis using information theoretical criteria
Support vector regression for rate prediction in distributed video coding
Multiclass cancer diagnosis in microarray gene expression profile using mutual information and Support Vector Machine
Effective email network visualization techniques by means of user behaviors
CD-Tree: A clustering-based dynamic indexing and retrieval approach
Two-layer dynamic graph convolutional recurrent neural network for traffic flow prediction
HFD: Hierarchical feature decoupling for SQL generation from text
Feature salience definition and estimation and its use in feature subset selection