yusuke1997/dblp-id-title huggingface dataset:
Orientation-Encoding CNN for Point Cloud Classification and Segmentation
Prediction by Empirical Similarity via Categorical Regressors
Semi-Supervised Adversarial Variational Autoencoder
Optimal Clustering and Cluster Identity in Understanding High-Dimensional Data Spaces with Tightly Distributed Points
Towards Robust Text Classification with Semantics-Aware Recurrent Neural Architecture
Enhancing Hierarchical Sales Forecasting with Promotional Data: A Comparative Study Using ARIMA and Deep Neural Networks
Generalization of Parameter Selection of SVM and LS-SVM for Regression
Leveraging Multi-Modality and Enhanced Temporal Networks for Robust Violence Detection
A Text-Based Predictive Maintenance Approach for Facility Management Requests Utilizing Association Rule Mining and Large Language Models
Phi-Delta-Diagrams: Software Implementation of a Visual Tool for Assessing Classifier and Feature Performance
Evaluation Metrics for Generative Models: An Empirical Study
A Survey of ReRAM-Based Architectures for Processing-In-Memory and Neural Networks
A Data Mining Approach for Health Transport Demand
Robust Learning with Implicit Residual Networks
Artificial Neural Network Analysis of Gene Expression Data Predicted Non-Hodgkin Lymphoma Subtypes with High Accuracy
Less-Known Tourist Attraction Discovery Based on Geo-Tagged Photographs
Application of Dueling Double Deep Q-Network for Dynamic Traffic Signal Optimization: A Case Study in Danang City, Vietnam
Machine Learning in Disaster Management: Recent Developments in Methods and Applications
Rumor Detection Based on SAGNN: Simplified Aggregation Graph Neural Networks
Learning Sentence-Level Representations with Predictive Coding
A Simple Yet Powerful Hybrid Machine Learning Approach to Aid Decision-Making in Laboratory Experiments
Effect of Data Representation for Time Series Classification - A Comparative Study and a New Proposal
Confidence Intervals for Class Prevalences under Prior Probability Shift
Real-Time Droplet Detection for Agricultural Spraying Systems: A Deep Learning Approach
A Survey on GAN Techniques for Data Augmentation to Address the Imbalanced Data Issues in Credit Card Fraud Detection
Potato Leaf Disease Detection Based on a Lightweight Deep Learning Model
Optimizing a Double Stage Heat Transformer Performance by Levenberg-Marquardt Artificial Neural Network
Enhanced Graph Representation Convolution: Effective Inferring Gene Regulatory Network Using Graph Convolution Network with Self-Attention Graph Pooling Layer
Statistical Analysis of Imbalanced Classification with Training Size Variation and Subsampling on Datasets of Research Papers in Biomedical Literature
A Combined Short Time Fourier Transform and Image Classification Transformer Model for Rolling Element Bearings Fault Diagnosis in Electric Motors
Exploiting the Feature Space Structures of KNN and OPF Algorithms for Identification of Incipient Faults in Power Transformers
Learning Experiences and Didactic Needs of German Healthcare Professions: A Focus Group Study for the Design of Personalized Interprofessional Further Education in Dementia Healthcare
Artificial Intelligence-Based Prediction of Spanish Energy Pricing and Its Impact on Electric Consumption
Tree-Structured Model with Unbiased Variable Selection and Interaction Detection for Ranking Data
Recent Advances in Supervised Dimension Reduction: A Survey
On Deceiving Malware Classification with Section Injection
VisFormers - Combining Vision and Transformers for Enhanced Complex Document Classification
Advanced Multi-Label Image Classification Techniques Using Ensemble Methods
Explainable Artificial Intelligence for Human Decision Support System in the Medical Domain
Better than Trees: Applying Semilattices to Balance the Accuracy and Complexity of Machine Learning Models
An Analysis of Cholesteric Spherical Reflector Identifiers for Object Authenticity Verification
Novel sensitivity method for evaluating the first derivative of the feed-forward neural network outputs
FEL-FRN: fusion ECA long-CLIP feature reconstruction network for few-shot classification
User profile correlation-based similarity (UPCSim) algorithm in movie recommendation system
Human behavior in image-based Road Health Inspection Systems despite the emerging AutoML
A genetic-based pairwise trip planner recommender system
An empirical study on the evaluation of the RDF storage systems
Advancing hospital healthcare: achieving IoT-based secure health monitoring through multilayer machine learning
Advancing machine learning with OCR2SEQ: an innovative approach to multi-modal data augmentation
The use of class imbalanced learning methods on ULSAM data to predict the case-control status in genome-wide association studies
CoPart: a context-based partitioning technique for big data
Inhibitory neuron links the causal relationship from air pollution to psychiatric disorders: a large multi-omics analysis
DD-KARB: data-driven compliance to quality by rule based benchmarking
Conflict resolution in the case of convective weather cell circumvention
Distributed fuzzy clustering algorithm for mixed-mode data in Apache SPARK
PINN surrogate model for nonlinear equilibrium path analysis of von Mises shallow truss
Data science approach to stock prices forecasting in Indonesia during Covid-19 using Long Short-Term Memory (LSTM)
Contextual anomaly detection framework for big sensor data
Remote sensing image protection using CTRSU-Net, SegNet + and ensemble learning
Highly accurate and efficient two phase-intrusion detection system (TP-IDS) using distributed processing of HADOOP and machine learning techniques
d2o: a distributed data object for parallel high-performance computing in Python
Optimizing action recognition: a residual convolution with hierarchical and gram matrix based attention mechanisms
Detecting high indoor crowd density with Wi-Fi localization: a statistical mechanics approach
Deep learning based deep-sea automatic image enhancement and animal species classification
Deep reinforcement learning for job scheduling on load-aware heterogeneous cluster
Dynamic SOFA component scores-based deep learning for short to long-term mortality prediction in sepsis survivors
Multi-objective database queries in combined knapsack and set covering problem domains
A hybrid framework combining background subtraction and deep neural networks for rapid person detection
Sentiment analysis using product review data
Hybrid gradient descent spider monkey optimization (HGDSMO) algorithm for efficient resource scheduling for big data processing in heterogenous environment
An industrial big data pipeline for data-driven analytics maintenance applications in large-scale smart manufacturing facilities
Big data fuzzy C-means algorithm based on bee colony optimization using an Apache Hbase
Some dimension reduction strategies for the analysis of survey data
Improved content recommendation algorithm integrating semantic information
Reversible data hiding with segmented secrets and smoothed samples in various audio genres
Data-centric artificial intelligence in oncology: a systematic review assessing data quality in machine learning models for head and neck cancer
Database application model and its service for drug discovery in Model-driven architecture
Predicting startup success using two bias-free machine learning: resolving data imbalance using generative adversarial networks
Machine learning and deep learning models based grid search cross validation for short-term solar irradiance forecasting
Role of authentication factors in Fin-tech mobile transaction security
Data-driven approaches for predicting Tommy John Surgery risk in major league baseball pitchers
I know your stance! Analyzing Twitter users' political stance on diverse perspectives
DIMPL: a distributed in-memory drone flight path builder system
Missing values compensation in duplicates detection using hot deck method
Real-time monitoring of traffic parameters
Evaluation is key: a survey on evaluation measures for synthetic time series
A bibliometric approach to tracking big data research trends
Exploring the efficacy of transfer learning in mining image-based software artifacts
Dissecting tumor antigens and immune subtypes for mRNA vaccine development in breast cancer
A review on lung disease recognition by acoustic signal analysis with deep learning networks
A novel approach for learning ontology from relational database: from the construction to the evaluation
Data analysis for vague contingency data
Impact of reviewer social interaction on online consumer review fraud detection
SICE: an improved missing data imputation technique
GraphZIP: a clique-based sparse graph compression method
Machine learning techniques to predict daily rainfall amount
Manufacturing process data analysis pipelines: a requirements analysis and survey
Enhancing LSM trees merge efficiency via coordinated sorted runs partitioning
Aspect-based sentiment analysis of user-generated content from a microblogging platform
Topological variable neighborhood search
Cross-modality representation learning from transformer for hashtag prediction
A computational analysis of aspect-based sentiment analysis research through bibliometric mapping and topic modeling
Enabling real time big data solutions for manufacturing at scale
Automatic DNN architecture design using CPSOTJUTT for power system inspection
An efficient binary spider wasp optimizer for multi-dimensional knapsack instances: experimental validation and analysis
Early prediction of MODS interventions in the intensive care unit using machine learning
We know who wins: graph-oriented approaches of passing networks for predictive football match outcomes
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction
Domain-relevance of influence: characterizing variations in online influence across multiple domains on social media
RecencyMiner: mining recency-based personalized behavior from contextual smartphone data
Identification of top-K nodes in large networks using Katz centrality
Arabic aspect sentiment polarity classification using BERT
Big data and AI-driven evidence analysis: a global perspective on citation trends, accessibility, and future research in legal applications
Learning in the presence of concept recurrence in data stream clustering
Review of deep learning methods for remote sensing satellite images classification: experimental survey and comparative analysis
Mining frequent itemsets from streaming transaction data using genetic algorithms
Missing data management and statistical measurement of socio-economic status: application of big data
A comprehensive performance analysis of Apache Hadoop and Apache Spark for large scale data sets using HiBench
Scalable and space-efficient Robust Matroid Center algorithms
Damped weighted erasable itemset mining with time sensitive dynamic environments
Hybrid topic modeling method based on dirichlet multinomial mixture and fuzzy match algorithm for short text clustering
Automatic analysis of social media images to identify disaster type and infer appropriate emergency response
Evaluation of distributed stream processing frameworks for IoT applications in Smart Cities
An enhanced random forest approach using CoClust clustering: MIMIC-III and SMS spam collection application
Reactive buffering window trajectory segmentation: RBW-TS
Survey on RNN and CRF models for de-identification of medical free text
A multimodal fusion model for real-time environment emotion recognition using audio-visual-textual features
PM2.5 prediction using population-based centrality weight
Plant diseases detection with low resolution data using nested skip connections
Analyzing the worldwide perception of the Russia-Ukraine conflict through Twitter
An adaptive composite time series forecasting model for short-term traffic flow
Big Data in multiscale modelling: from medical image processing to personalized models
Data analytics for crop management: a big data view
Fuzzy clustering with robust learning models for soccer player profiling and resilience analysis
Decreasing the execution time of reducers by revising clustering based on the futuristic greedy approach
Unsupervised label generation for severely imbalanced fraud data
Unmasking deception: detection of fake profiles in online social ecosystems
CatBoost for big data: an interdisciplinary review
Visualizing Big Data with augmented and virtual reality: challenges and research agenda
Text based personality prediction from multiple social media data sources using pre-trained language model and model averaging
Short-term stock market price trend prediction using a comprehensive deep learning system
Clustering large datasets using K-means modified inter and intra clustering (KM-I2C) in Hadoop
DERIV: distributed brand perception tracking framework
Natural language processing for extracting consumer sentiment dynamics through multimodal social media analysis to predict microeconomic consumption pattern shifts
Unit middleware for implementation of human-machine interconnection intelligent ecology construction
The use of generative adversarial networks to alleviate class imbalance in tabular data: a survey
Improving deep neural network design with new text data representations
Dissimilarity space reinforced with manifold learning and latent space modeling for improved pattern classification
An LSTM and GRU based trading strategy adapted to the Moroccan market
DaLiF: a data lifecycle framework for data-driven governments
Decision support system for handling control decisions and decision-maker related to supply chain
A set theory based similarity measure for text clustering and classification
Usability enhancement model for unstructured text in big data
Bilingual hate speech detection on social media: Amharic and Afaan Oromo
Metamorphosing forex: advancements in volatility forecasting using a modified fuzzy time series framework
The best statistical model to estimate predictors of under-five mortality in Ethiopia
Actionable Knowledge As A Service (AKAAS): Leveraging big data analytics in cloud computing environments
Transfer learning approach based on satellite image time series for the crop classification problem
A data mining framework to analyze road accident data
A fast and accurate segmentation model of lychee tree canopy from UAV remote sensing image based on big data and deep learning
Data reduction techniques for highly imbalanced medicare Big Data
Classification of long-term clinical course of Parkinson's disease using clustering algorithms on social support registry database
Addressing big data variety using an automated approach for data characterization
An AppGallery for dataflow computing
Criminal tendency detection from facial images and the gender bias effect
Evaluation of the effectiveness and efficiency of state-of-the-art features and models for automatic speech recognition error detection
Adaptive network diagram constructions for representing big data event streams on monitoring dashboards
Performance analysis of concurrent workflows
Crypto foretell: a novel hybrid attention-correlation based forecasting approach for cryptocurrency
Ontology generation for flight safety messages in air traffic management
A survey on bandwidth-aware geo-distributed frameworks for big-data analytics
Big data privacy: a technological perspective and review
Inferring the votes in a new political landscape: the case of the 2019 Spanish Presidential elections
EventFormer: a hierarchical neural point process framework for spatio-temporal clustering events prediction
Xai-driven knowledge distillation of large language models for efficient deployment on low-resource devices
Survey of review spam detection using machine learning techniques
eFATA: an efficient fata morgana algorithm for climate change forecasting
Sub-spatial prediction of votes integrating socioeconomic, educational, and age strata with machine learning and topological data analysis
A guide to similarity measures and their data science applications
Automatic schema suggestion model for NoSQL document-stores databases
Awareness routing algorithm in vehicular ad-hoc networks (VANETs)
Positive and negative association rule mining in Hadoop's MapReduce environment
Implementation of Long Short-Term Memory and Gated Recurrent Units on grouped time-series data to predict stock prices accurately
Instance segmentation on distributed deep learning big data cluster
De-occlusion and recognition of frontal face images: a comparative study of multiple imputation methods
Analyzing Bangkok city taxi ride: reforming fares for profit sustainability using big data driven model
Discovering top-weighted k-truss communities in large graphs
Adaptive Toeplitz convolution- enhanced classifier for anomaly detection in ECG big data
Correlation-based feature selection of single cell transcriptomics data from multiple sources
A reasoning based explainable multimodal fake news detection for low resource language using large language models and transformers
An LLM-guided platform for multi-granular collection and management of data provenance
Efficient surface crack segmentation for industrial and civil applications based on an enhanced YOLOv8 model
Feature selection of the respiratory microbiota associated with asthma
Effective k-nearest neighbor models for data classification enhancement
Enhanced ransomware attacks detection using feature selection, sensitivity analysis, and optimized hybrid model
Domain randomization for neural network classification
Impact of class distribution on the detection of slow HTTP DoS attacks using Big Data
ThermoPCD 2.0: an updated database of molecular dynamics trajectories of antibody-antigen complexes relevant for infectious diseases and allergies at physiologic and fever-range temperatures
Meta-MapReduce for scalable data mining
Dual-weight decay mechanism and Nelder-Mead simplex boosted RIME algorithm for optimal power flow
Chat-rgie: precision extraction of rice germplasm data using large language models and prompt engineering
S-RASTER: contraction clustering for evolving data streams
Unsupervised feature learning-based encoder and adversarial networks
Infoveillance of infectious diseases in USA: STDs, tuberculosis, and hepatitis
GB-AFS: graph-based automatic feature selection for multi-class classification via Mean Simplified Silhouette
Capturing research literature attitude towards sustainable development goals: an LLM-based topic modeling approach
Free trade as domestic, economic, and strategic issues: a big data analytics approach
Predictability analysis of the Pound's Brexit exchange rates based on Google Trends data
The core enabling technologies of big data analytics and context-aware computing for smart sustainable cities: a review and synthesis
Composition of weighted finite transducers in MapReduce
Axial compressive behavior of reinforced concrete-filled circular steel tubular columns: finite element and machine learning modelling
A literature review on one-class classification and its potential applications in big data
The anatomy of the data-driven smart sustainable city: instrumentation, datafication, computerization and related applications
Big Data Analytics-based life cycle sustainability assessment for sustainable manufacturing enterprises evaluation
Boosting methods for multi-class imbalanced data classification: an experimental review
A new approach to the space-time analysis of big data: application to subway traffic data in Seoul
Accelerating neural network training with distributed asynchronous and selective optimization (DASO)
Predictive modelling of MapReduce job performance in cloud environments using machine learning techniques
COLLAR: combating low-rank temporal latent representation for high-dimensional multivariate time series prediction using dynamic Koopman regularization
Adapting transformer-based language models for heart disease detection and risk factors extraction
Have the cake and eat it too: Differential Privacy enables privacy and precise analytics
Block-level masking and feature importance-based adversarial example generation
DLA-E: a deep learning accelerator for endoscopic images classification
Tracing outliers in the dataset of Drosophila suzukii records with the Isolation Forest method
Sentiment analysis classification system using hybrid BERT models
Severely imbalanced Big Data challenges: investigating data sampling approaches
A proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry
Big data processing using hybrid Gaussian mixture model with salp swarm algorithm
A guide to creating an effective big data management framework
A computing platform for pairs-trading online implementation via a blended Kalman-HMM filtering approach
Motion detection and classification: ultra-fast road user detection
Explainable machine learning models for Medicare fraud detection
An exploratory approach to data driven knowledge creation
VeilGraph: incremental graph stream processing
Big Data management in smart grid: concepts, requirements and implementation
On hierarchical clustering-based approach for RDDBS design
A novel hybrid model based on Hodrick-Prescott filter and support vector regression algorithm for optimizing stock market price prediction
Reality mining and predictive analytics for building smart applications
Binary image description using frequent itemsets
Accuracy, precision, recall, f1-score, or MCC? empirical evidence from advanced statistics, ML, and XAI for evaluating business predictive models
Identifying key genetic variants in Alzheimer's disease progression using Graph Convolutional Networks (GCN) and biological impact analysis
Data engineering for sustainable agriculture: developments, challenges, and case studies of a novel IoRT architecture
STVG: an evolutionary graph framework for analyzing fast-evolving networks
Stable bagging feature selection on medical data
The differences in gastric cancer epidemiological data between SEER and GBD: a joinpoint and age-period-cohort analysis
Performance-efficient distributed transfer and transformation of big spatial histopathology datasets in the cloud
Big Data fraud detection using multiple medicare data sources
Application of supervised machine learning models in human emotion classification using Tsallis entropy as a feature
FCASR: a feature and content-aware service recommender for personalized hotel recommendations using big data
Governance and sustainability of distributed continuum systems: a big data approach
Multi strategy Horned Lizard Optimization Algorithm for complex optimization and advanced feature selection problems
Towards a deep learning-based outlier detection approach in the context of streaming data
Predicting customer's gender and age depending on mobile phone data
Integrating microarray-based spatial transcriptomics and RNA-seq reveals tissue architecture in colorectal cancer
Context-aware rule learning from smartphone data: survey, challenges and future directions
Fine grain algorithm parallelization on a hybrid control-flow and dataflow processor
Fast implementation of pattern mining algorithms with time stamp uncertainties and temporal constraints
Traffic flow prediction based on depthwise separable convolution fusion network
AI sees beyond humans: automated diagnosis of myopia based on peripheral refraction map using interpretable deep learning
Neural network training with limited precision and asymmetric exponent
Convergence of artificial intelligence and high performance computing on NSF-supported cyberinfrastructure
Anomaly detection and community detection in networks
Diftong: a tool for validating big data workflows
Vehicle routing problems based on Harris Hawks optimization
Semantic context driven language descriptions of videos using deep neural network
Refining prognostic assessment of diffuse large B-cell lymphoma: insights from multi-omics and single-cell analysis unveil SRM as a key target for regulating immunotherapy
Tree stream mining algorithm with Chernoff-bound and standard deviation approach for big data stream
Exploration of issues, challenges and latest developments in autonomous cars