yusuke1997/dblp-id-title huggingface dataset:
From Alignment to Advancement: Bootstrapping Audio-Language Alignment with Synthetic Data
How does propaganda influence the opinion dynamics of a population ?
Generative Neural Reparameterization for Differentiable PDE-constrained Optimization
Analysis of the Karmarkar-Karp Differencing Algorithm
Multi-Output Robust and Conjugate Gaussian Processes
Hierarchical thematic classification of major conference proceedings
A Unified Framework for Risk-sensitive Markov Decision Processes with Finite State and Action Spaces
Unlocking Metaverse-as-a-Service The three pillars to watch: Privacy and Security, Edge Computing, and Blockchain
AutoML-GPT: Large Language Model for AutoML
Face, Whole-Person, and Object Classification in a Unified Space Via The Interleaved Multi-Domain Identity Curriculum
Mixture of Attention Yields Accurate Results for Tabular Data
Supervised Quantile Normalization for Low-rank Matrix Approximation
On Approximation of Robust Max-Cut and Related Problems using Randomized Rounding Algorithms
Toward Recovering Complete SRS for Softbody Simulation System and a Sample Application - a Team 9a SOEN6481 W13 Project Report
GRIT-LP: Graph Transformer with Long-Range Skip Connection and Partitioned Spatial Graphs for Accurate Ice Layer Thickness Prediction
Graph Partitioning and Graph Neural Network based Hierarchical Graph Matching for Graph Similarity Computation
Birkhoff's Completeness Theorem for Multi-Sorted Algebras Formalized in Agda
Optimizing Universal Lesion Segmentation: State Space Model-Guided Hierarchical Networks with Feature Importance Adjustment
MEMTRACK: A Deep Learning-Based Approach to Microrobot Tracking in Dense and Low-Contrast Environments
A Sliding Layer Merging Method for Efficient Depth-Wise Pruning in LLMs
FAIR EVA: Bringing institutional multidisciplinary repositories into the FAIR picture
A Foundation Model for Brain MRI with Dynamic Modality Integration
A Spatial-Constraint Model for Manipulating Static Visualizations
Interpreting intermediate convolutional layers of CNNs trained on raw speech
Is Attention All What You Need? - An Empirical Investigation on Convolution-Based Active Memory and Self-Attention
Bounds on the approximation error for deep neural networks applied to dispersive models: Nonlinear waves
SADAS: A Dialogue Assistant System Towards Remediating Norm Violations in Bilingual Socio-Cultural Conversations
Feature visualization for convolutional neural network models trained on neuroimaging data
MBFL-DKMR: Improving Mutation-based Fault Localization through Denoising-based Kill Matrix Refinement
Beyond Personalization: Research Directions in Multistakeholder Recommendation
Saturated RISE control for considering rotor thrust saturation of fully actuated multirotor
A nA-Range Area-Efficient Sub-100-ppm/°C Peaking Current Reference Using Forward Body Biasing in 0.11-μm Bulk and 22-nm FD-SOI
Evaluation of Local Explanation Methods for Multivariate Time Series Forecasting
Cross-channel Budget Coordination for Online Advertising System
Text-driven Online Action Detection
Experimental Comparison of Average-Power Constrained and Peak-Power Constrained 64QAM under Optimal Clipping in 400Gbps Unamplified Coherent Links
Trainable and Dynamic Computing: Error Backpropagation through Physical Media
Prompt-based vs. Fine-tuned LLMs Toward Causal Graph Verification
Moral Reasoning Across Languages: The Critical Role of Low-Resource Languages in LLMs
Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation
Structure-preserving constrained optimal trajectory planning of a wheeled inverted pendulum
Impact of E-Banking on Traditional Banking Services
Global Stabilization of Nonlinear Delay Systems With a Compact Absorbing Set
Propositional Knowledge Representation in Restricted Boltzmann Machines
Determinization and Limit-determinization of Emerson-Lei automata
RST-MODNet: Real-time Spatio-temporal Moving Object Detection for Autonomous Driving
Discrete-time Consensus Systems under Persistent Flow and Non-Instantaneous Reciprocal Interactions
PEMA: Plug-in External Memory Adaptation for Language Models
Missing Data Imputation for Classification Problems
Scalable Mixed-Integer Optimization with Neural Constraints via Dual Decomposition
Evaluation of electrical efficiency of photovoltaic thermal solar collector
Performance of ChatGPT-3.5 and GPT-4 on the United States Medical Licensing Examination With and Without Distractions
Data-Driven Robust Covariance Control for Uncertain Linear Systems
Boolean functions on high-dimensional expanders
Fast Principal Component Analysis for Cryo-EM Images
Interpretable Deep Learning for Polar Mechanistic Reaction Prediction
Related family-based attribute reduction of covering information systems when varying attribute sets
LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Foundation Models
Black-Box Complexity: Breaking the $O(n \log n)$ Barrier of LeadingOnes
Algorithms for Positive Semidefinite Factorization
An efficient MPI/OpenMP parallelization of the Hartree-Fock method for the second generation of Intel Xeon Phi processor
Forecaster-aided User Association and Load Balancing in Multi-band Mobile Networks
Implicit representation priors meet Riemannian geometry for Bayesian robotic grasping
Adaptive Coding and Modulation Aided Mobile Relaying for Millimeter-Wave Flying Ad-Hoc Networks
Planning Activities in Software Testing Process: A Literature Review and Suggestions for Future Research
CLARINET: Augmenting Language Models to Ask Clarification Questions for Retrieval
Strategic Decision-Making in Multi-Agent Domains: A Weighted Potential Dynamic Game Approach
Stability Analysis and Intervention Strategies on a Coupled SIS Epidemic Model with Polar Opinion Dynamics
A Mobile Computing Architecture for Numerical Simulation
An algorithm for variable density sampling with block-constrained acquisition
Advanced Integration of Discrete Line Segments in Digitized P&ID for Continuous Instrument Connectivity
Edge AI-Enabled Chicken Health Detection Based on Enhanced FCOS-Lite and Knowledge Distillation
Deep Reinforcement Learning and Convex Mean-Variance Optimisation for Portfolio Management
Online Learning of Competitive Equilibria in Exchange Economies
Mathematics and Machine Creativity: A Survey on Bridging Mathematics with AI
Measuring Visual Complexity of Cluster-Based Visualizations
A General Stochastic Optimization Framework for Convergence Bidding
MIRAGE: Multimodal Immersive Reasoning and Guided Exploration for Red-Team Jailbreak Attacks
A Lipschitz-constrained anomaly discriminator framework
An Energy-Efficient VCO-Based Matrix Multiplier Block to Support On-Chip Image Analysis
Pure Exploration with Structured Preference Feedback
Success probability in Shor's Algorithm
Barycentric Interpolation Based on Equilibrium Potential
Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning
Settling Constant Regrets in Linear Markov Decision Processes
Spanning Tree Congestion and Computation of Generalized Győri-Lov{á}sz Partition
Research Summary on Implementing Functional Patterns by Synthesizing Inverse Functions
An analysis of the impact of policies and political affiliation on racial disparities in COVID-19 infections and deaths in the USA
Implicitly adaptive optimal proposal in variational inference for Bayesian learning
Comparative analysis of machine learning models for shortlisting SNPs to facilitate detection of marginal epistasis in GWAS
Optimization of Dynamic Time Warping Algorithm for Abnormal Signal Detection
A case study on phishing detection with a machine learning net
Evaluating narrative visualization: a survey of practitioners
Enhanced instance selection for large-scale data using integrated clustering and autoencoder techniques
Sloppiness mitigation in crowdsourcing: detecting and correcting bias for crowd scoring tasks
Fading histograms in detecting distribution and concept changes
Introduction to the special issue on Big Data, IoT Streams and Heterogeneous Source Mining
Fake news detection: deep semantic representation with enhanced feature engineering
Supervised graph embedding for classification using discriminating frequent patterns
Retrieving unusual temporal trends effectively and efficiently with trend surfing
A new generalization of the zero-truncated negative binomial distribution by a Lagrange expansion with associated regression model and applications
An opinion leader selection in social networks using hybrid amended salp swarm and improved grey wolf optimizer algorithms
FRP-TNN: an intelligent framework using transformer for financial market risk prediction to enhance decision-making under uncertainty
Study of violence against women and its characteristics through the application of text mining techniques
Traces recognition of transition sequence based on frequent itemset
IEEE BigDataService 2016 conference
An open science automatic workflow for multi-model species distribution estimation
PowerHash: a hybrid grouping scheme by leveraging power-law properties of data
Stable Bayesian optimization
Modelling the electrical energy profile of a batch manufacturing pharmaceutical facility
Multiple security policies for classified data items in replicated DRTDBS
Enhancing anti-money laundering via Fourier-based contrastive learning
Recent advances in domain-driven data mining
Tensor latent block model for co-clustering
Topic-aware joint analysis of overlapping communities and roles in social media
Integrating CNN-based feature fusion and spatial attention for tuberculosis detection with Bayesian optimized XGBoost
Leveraging peer-review aspects for extractive and abstractive summarization of scientific articles
Correction to: Graph autoencoder (GAE) for community detection in social networks
A deep learning approach for wind downscaling using spatially correlated global wind data
Online conformance checking: relating event streams to process models using prefix-alignments
The rise of generative AI frameworks in drug discovery
Enhancing the Vietoris-Rips simplicial complex for topological data analysis: applications in cancer gene expression datasets
DarijaBERT: a step forward in NLP for the written Moroccan dialect
Artificial intelligence trend analysis in German business and politics: a web mining approach
Correction to: Constraint-based causal discovery with mixed data
Multi-view parallel graph pooling
Data-driven analysis of Bitcoin properties: exploiting the users graph
Improving recommendation diversity and serendipity with an ontology-based algorithm for cold start environments
FaiRecSys: mitigating algorithmic bias in recommender systems
Automatic optimization of outlier detection ensembles using a limited number of outlier examples
Anomaly analytics in data-driven machine learning applications
AI-generated or AI touch-up? Identifying AI contribution in text data
A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA
Tell cause from effect: models and evaluation
Through the looking glass: evaluating post hoc explanations using transparent models
Preventing the diffusion of information to vulnerable users while preserving PageRank
Towards a cyberbullying detection approach: fine-tuned contrastive self-supervised learning for data augmentation
A common-specific feature cross-fusion attention mechanism for KGVQA
REPAIR approach for social-based city reconstruction planning in case of natural disasters
Scoring Bayesian networks of mixed variables
A deep meta-level spatio-categorical POI recommender system
Data science for next-generation recommender systems
Stability of filter feature selection methods in data pipelines: a simulation study
Cryptocurrencies asset classification and pricing using CNN and RNN
Tighten the lasso: a convex hull volume-based anomaly detection method
A data mining framework for environmental and geo-spatial data analysis
Δ-Conformity: multi-scale node assortativity in feature-rich stream graphs
A novel recommendation system comprising WNMF with graph-based static and temporal similarity estimators
A review of web infodemic analysis and detection trends across multi-modalities using deep neural network
R3D: an approach combining cost-sensitive and insensitive classifiers to achieve more balanced scores
Video sentiment analysis on social media using an advanced VADER technique
Automatic emotion detection in text streams by analyzing Twitter data
A lightweight attention-based deep learning facial recognition system for multiple genetic syndromes
An inter- and intra-attention model for multi-behavior recommendation
Bayesian neural hawkes process for event uncertainty prediction
Incremental mining algorithms for generating and updating frequent patterns for dynamic databases against insert, update, and support changes
Online information disorder: fake news, bots and trolls
Classification and regression using augmented trees
Improved method for correcting sample Mahalanobis distance without estimating population eigenvalues or eigenvectors of covariance matrix
A novel hotel recommender system incorporating review sentiment and contextual information
Generative conditional missing imputation networks
Explainable deep learning for software defect prediction: a residual-shuffle network approach with SHAP and LIME
Comparison of strategies for scalable causal discovery of latent variable models from mixed data
Using big data and federated learning for generating energy efficiency recommendations
Spatiotemporal Data-Driven Hourly Bike-Sharing Demand Prediction Using ApexBoost Regression
Enhancing aerial human action recognition through GAN-boosted ResNeXt architecture with squeeze-and-excitation network
Bounded correlation clustering
An open architecture for event-based analytics
A leap forward in early vascular aging research: uncovering the high-risk vascular aging patterns
DeepBERT-XAI: a dual BERT approach with XAI for sentiment analysis of airline tweet data
A depth-first search approach to detect the community structure of weighted networks using the neighbourhood proximity measure
Policies and metrics for schedulers in cloud data-centers using CloudSim simulator
Deep learning-based noise suppression for industrial environments without clean data
Caveats and pitfalls in crowdsourcing research: the case of soccer referee bias
Clustering of mixed-type data considering concept hierarchies: problem specification and algorithm
Inf-DLFS: integrating deep learning with optimal feature selection to identifying influential nodes in complex networks
A combined kernel function for dynamic support vector machines: exploiting hybrid similarity in data clustering
An efficient facial emotion recognition using convolutional neural network with local sorting binary pattern and whale optimization algorithm
Batch and incremental dynamic factor machine learning for multivariate and multi-step-ahead forecasting
Harris extended inverted Kumaraswamy distribution: Properties and applications to COVID-19 data
Few-shot learning based on dual-attention mechanism for orchid species recognition
Ranking of cloud services by applying BWM-TOPSIS, BWM-ARAS, and BWM-COPRAS hybrid MCDM methods
K-means DTW Barycenter Averaging: a clustering analysis of COVID-19 cases and deaths on the Brazilian federal units
Analytics and measuring the vulnerability of communities for complex network security
Fourier transform and permutation-based transformer for drug-target binding affinity prediction
Genome-wide identification of plant-based natural antimicrobial peptides using deep learning approach in black pepper
A new robust bootstrapped singular value decomposition algorithm using the sample myriad estimate
SVSA: a Semi-Vortex Search Algorithm for solving optimization problems
Forecasting refugee migration with high-dimensional covariate space
Learning volatility structures in emerging markets: a data-driven network approach using stochastic volatility models
Secure wireless sensor network transmission using reinforcement learning and homomorphic encryption
Decoding pain: prediction under different emotional contexts through physiological signals
Graph autoencoder (GAE) for community detection in social networks
Uncertainty quantification in automated valuation models with spatially weighted conformal prediction
Empirical assessment of transformer-based neural network architecture in forecasting pollution trends
Democratizing marine restoration best practices in a digital toolbox
GINN: gradient interpretable neural networks for visualizing financial texts
The discrete new XLindley distribution and the associated autoregressive process
Retraction Note to: A survey on human-computer interaction technologies and techniques
Enhancing imputation accuracy of weighted K-nearest neighbor algorithm using non-Gaussian kernel functions
ICANE: interaction content-aware network embedding via co-embedding of nodes and edges
GDVT: geometrically aware dual transformer encoding visual and textual features for image captioning
Scale free projections arise from bipartite random networks
Polishing the black box: flexible model-based partitioning surrogate models for interpretable machine learning model
Streaming active learning strategies for real-life credit card fraud detection: assessment and visualization
Enhancing online toxicity detection on gaming networks: a novel embeddings-based valence lexicon approach
A Fast Algorithm for High-Dimensional Causal Discovery
Exposing the probabilistic causal structure of discrimination
K-Trickle: performance evaluation and impact on quality of service in resource-constrained networks
Multilingual hope speech detection in English and Dravidian languages
Introduction to the special issue on Data Science in Asia (with PAKDD'2017)
Context-adaptive intelligent agents behaviors: multivariate LSTM-based decision making on the cryptocurrency market
Robust online drop detection for cochlear implant surgery
A layer-wise survey on internal modifications in BERT and its variants: techniques, applications, and performance trade-offs
HGS-At-LSTM: attention-based long short-term memory model combined with halving grid search optimizer for harmful algal bloom forecasting
Performance of the wavelet-based CUSUM charts
High-precision brain tumor diagnosis using SECNN-MNet framework and explainable AI
Characterization, a new tool for summarizing databases
Feature selection based on the complexity of structural patterns in RDF graphs
Adaptive k-center and diameter estimation in sliding windows
Constraint-based causal discovery with mixed data
Online boxplot derived outlier detection
Fake news detection based on news content and social contexts: a transformer-based approach
Data Science: a proposal for a curriculum
Correction to: A framework for analyzing consumer satisfaction using deep learning and expectation-confirmation theory: with illustration of refurbished laptops
Statistical interpretation for word embeddings in natural language processing
Association rule mining for genome-wide association studies through Gibbs sampling
BJR-tree: fast skyline computation algorithm using dominance relation-based tree structure
Apache Spark-based scalable feature extraction approaches for protein sequence and their clustering performance analysis
PARAS$^{\mathrm{c}}$: a parameter space-driven approach for complete association rule mining
Accelerating adaptive online learning by matrix approximation
Enhanced anomaly detection through a Bayesian framework with a novel network merging structure learning approach
BFSPMiner : an effective and efficient batch-free algorithm for mining sequential patterns over data streams
Bearing fault diagnosis in gas turbine generators through MSP data-enhanced deep pyramidal residual networks
The impact of information sources on COVID-19 knowledge accumulation and vaccination intention
Deep learning for detecting inappropriate content in text
Intelligent medical image grouping through interactive learning
Location identification for real estate investment using data analytics
Recommendation in heterogeneous information network via dual similarity regularization
P-N-RMiner: a generic framework for mining interesting structured relational patterns
Biomedical text summarization with large language models: methodologies, challenges, and future directions
Maritime pattern extraction and route reconstruction from incomplete AIS data
Dbias: detecting biases and ensuring fairness in news articles
Detecting behavior types of moving object trajectories
A systematic review of machine learning approaches for detecting deceptive activities on social media: methods, challenges, and biases
Interpretable and robust multimodal fake news detection with evidence fusion and reliable reasoning
Investigating scholarly indices and their contribution to recognition patterns among awarded and non-awarded researchers
Beyond significance: why the d-value matters more in big data contexts
A deep learning-based approach for identifying unresolved questions on Stack Exchange Q &A communities through graph-based communication modelling
A comparative exploration of two diffusion generative models on tabular data synthesis
Addressing multicollinearity in log Birnbaum-Saunders regression model: a ridge regression estimation approach
A neuro-fuzzy approach for efficient adaptation in distributed IoT systems: enhancing concurrency and computational efficiency
A novel clustering-based method for time series motif discovery under time warping measure
A comprehensive review of statistical variants and enhancements of SMOTE oversampling method
Decision making for selection of smart vehicle transportation system using VIKOR approach
Facial attribute manipulation using the contrastive disentangled generative adversarial network framework with 3D priors
Guest Editorial: Special Issue on Causal Discovery 2017
Accelerated anti-lopsided algorithm for nonnegative least squares
High-accuracy prediction of international raw material trade flows using temporal fusion transformer
Statistically inspired discrepancy detection for anomalous spatio-temporal graphs
A review of sentiment analysis: tasks, applications, and deep learning techniques
Efficient identification of Tanimoto nearest neighbors
Logistic Dropout: a soft dropout mechanism via the Logistic Map
Bayes optimal estimation and its approximation algorithm for difference with and without treatment under IRSLC model
Pull-push: a measure of over- or underpersonalization in recommendation
Graph-based feature extraction on object-centric event logs
Machine learning and deep learning for genomic data: a data-centric approach to CRISPR/Cas9 gene editing
A mining-based approach for efficient enumeration of algebraic structures
Multi-domain and multi-view networks model for clustering hospital admissions from the emergency department
A novel approach for ranking web documents based on query-optimized personalized pagerank
Detecting extreme values in time series based on bar visibility
Rethinking security: the resilience of shallow ML models
What can scatterplots teach us about doing data science better?
Federated learning using flower framework for enhanced medication safety in intensive care units
Boosting for regression transfer via importance sampling
Correction to: An ethico-legal framework for social data science
Exploratory computing: a comprehensive approach to data sensemaking
Corruption risk in contracting markets: a network science perspective
Uncertainty-aware non-invasive patient-ventilator asynchrony detection using latent Gaussian mixture generative classifier with noisy label correction
Comparative analysis of different crossover structures for solving a periodic inventory routing problem
Introduction to the foundations of causal discovery
Enhancing aspect-based sentiment analysis using data augmentation based on back-translation
What makes Data Science different? A discussion involving Statistics2.0 and Computational Sciences
Claim polarity analysis from conflicting sources
A parametric distributional reinforcement learning framework for conditional systemic risk estimation
C-MemMAP: clustering-driven compact, adaptable, and generalizable meta-LSTM models for memory access prediction
Academic mobility from a big data perspective