yusuke1997/dblp-id-title huggingface dataset:
Generative Relevance Feedback with Large Language Models
Skill Translation Models in Expert Finding
Deep Multiple Quantization Network on Long Behavior Sequence for Click-Through Rate Prediction
LDRE: LLM-based Divergent Reasoning and Ensemble for Zero-Shot Composed Image Retrieval
A General Method For Automatic Discovery of Powerful Interactions In Click-Through Rate Prediction
Unsupervised Extractive Text Summarization with Distance-Augmented Sentence Graphs
Privacy-Preserving IR 2015: When Information Retrieval Meets Privacy and Security
Natural Language Supported Relation Matching for Question Answering with Knowledge Graphs
Few-Shot Stance Detection via Target-Aware Prompt Distillation
Efficient manifold ranking for image retrieval
Optimizing Trade-offs Among Stakeholders in Real-Time Bidding by Incorporating Multimedia Metrics
Analyzing the content emphasis of web search engines
Detecting Frozen Phrases in Open-Domain Question Answering
The impact of evaluation on multilingual text retrieval
Building an information retrieval test collection for spontaneous conversational speech
Efficient and Effective Text-Annotation through Active Learning
Ranking related news predictions
Evaluating and Optimizing Autonomous Text Classification Systems
CIST@CLSciSumm-19: Automatic Scientific Paper Summarization with Citances and Facets
Dual Contrastive Network for Sequential Recommendation
The loquacious user: a document-independent source of terms for query expansion
Ultra-Summarization: A Statistical Approach to Generating Highly Condensed Non-Extractive Summaries (poster abstract)
Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation
IRIT-IRIS at CL-SciSumm 2019: Matching Citances with their Intended Reference Text Spans from the Scientific Literature
Statistical feature extraction for cross-language web content quality assessment
Information Implications into the Eighties, Proceedings of the Second International Conference on Information Storage and Retrieval, Dallas, Texas, USA, September 27 and 28, 1979
RecSys for distributed events: investigating the influence of recommendations on visitor plans
An optimization framework for entity recognition and disambiguation
Fast Attention-based Learning-To-Rank Model for Structured Map Search
Seasonal Web Search Query Selection for Influenza-Like Illness (ILI) Estimation
Live nuggets extractor: a semi-automated system for text extraction and test collection creation
Improving Contextual Suggestions using Open Web Domain Knowledge
SIGIR 2018 Workshop on Learning from Limited or Noisy Data for Information Retrieval
Web-based acquisition of Japanese katakana variants
ArchivalQA: A Large-scale Benchmark Dataset for Open-Domain Question Answering over Historical News Collections
Retrieving Spoken Documents by Combining Multiple Index Sources
Self-taught hashing for fast similarity search
Understanding How Algorithmic and Cognitive Biases in Web Search Affect User Attitudes on Debated Topics
BARS: Towards Open Benchmarking for Recommender Systems
Building a Graph-Based Patent Search Engine
NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs
Just-for-me: an adaptive personalization system for location-aware social music recommendation
Transparent Tree Ensembles
User Comment Analysis for Android apps and CSPI Detection with Comment Expansion
Agro-Gator: digesting experts, logs, and N-grams
Mitigating Source Bias with LLM Alignment
NLP-NITMZ @ CLScisumm-18
Management of keyword variation with frequency based generation of word forms in IR
Information re-retrieval: repeat queries in Yahoo's logs
Convolution-based Memory Network for Aspect-based Sentiment Analysis
Data Science for Social Good and Public Policy: Examples, Opportunities, and Challenges
Deriving Concept Hierarchies from Text
Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation
Estimating the query difficulty for information retrieval
Stance Detection: Concepts, Approaches, Resources, and Outstanding Issues
uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering
An Auto Encoder-based Dimensionality Reduction Technique for Efficient Entity Linking in Business Phone Conversations
Measuring similarity of semi-structured documents with context weights
Split-Lists and Initial Thresholds for WAND-based Search
Cluster-Based Bandits: Fast Cold-Start for Recommender System New Users
Relevance Transformer: Generating Concise Code Snippets with Relevance Feedback
Classifiers without borders: incorporating fielded text from neighboring web pages
Adaptive Linear Information Retrieval Models
Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage Retrieval
Time to judge relevance as an indicator of assessor error
SPot: A Tool for Identifying Operating Segments in Financial Tables
A Comparison of the Events and Relations Across ACE, ERE, TAC-KBP, and FrameNet Annotation Standards
Qualities of Eventiveness
Identifying Various Kinds of Event Mentions in K-Parser Output
Conceptual and Practical Steps in Event Coreference Analysis of Large-scale Data
Semantic Interoperability for Cross-lingual and cross-document Event Detection
Translating Granularity of Event Slots into Features for Event Coreference Resolution
Game-Changing Event Definition and Detection in an eSports Corpus
Multimodal Use of an Upper-Level Event Ontology
Verbal Valency Frame Detection and Selection in Czech and English
Using Topic Modeling and Similarity Thresholds to Detect Events
From Light to Rich ERE: Annotation of Entities, Relations, and Events
Classification and Acquisition of Contradictory Event Pairs using Crowdsourcing
Inter-annotator Agreement for ERE annotation
Challenges of Adding Causation to Richer Event Descriptions
Proceedings of the Fourth Workshop on Events, EVENTS@HLT-NAACL 2016, San Diego, California, USA, June 17, 2016
A Comparison of Event Representations in DEFT
Event analysis for information extraction from business-based technical documents
Word Sense Disambiguation via PropStore and OntoNotes for Event Mention Detection
Evaluation Algorithms for Event Nugget Detection : A Pilot Study
Augmenting FrameNet Via PPDB
Detecting Causally Embedded Structures Using an Evolutionary Algorithm
Event Nugget Annotation: Processes and Issues
Evaluation for Partial Event Coreference
Proceedings of the Second Workshop on EVENTS: Definition, Detection, Coreference, and Representation, EVENTS@ACL 2014, Baltimore, Maryland, USA, June 2014
Constructing a Dictionary Describing Feature Changes of Arguments in Event Sentences
Modeling and Characterizing Social Media Topics Using the Gamma Distribution
Is the Stanford Dependency Representation Semantic?
Opposition Relations among Verb Frames
Encoding event structure in Urdu/Hindi VerbNet
Annotation of causal and aspectual structure of events in RED: a preliminary report
Unsupervised Techniques for Extracting and Clustering Complex Events in News
Proceedings of the The 3rd Workshop on EVENTS: Definition, Detection, Coreference, and Representation, EVENTS@HLP-NAACL 2015, Denver, Colorado, USA, June 4, 2015
"Making the News": Identifying Noteworthy Events in News Articles
CaTeRS: Causal and Temporal Relation Scheme for Semantic Annotation of Event Structures
Event Nugget and Event Coreference Annotation
A Practical Approach to Scalable Big Data Computing for the Personalization of Services at Samsung
An Improved Multi-Objective Evolutionary Approach for Clustering High-Dimensional Data
Big Data Remote Access Interfaces for Light Source Science
Quality-Aware Movie Recommendation System on Big Data
Assessing Process Discovery Scalability in Data Intensive Environments
Identifying Evolution of Software Metrics by Analyzing Vulnerability History in Open Source Projects
A Hierarchical Multi-Metric Framework for Item Clustering
Calculating the Topological Resilience of Supply Chain Networks Using Hopfield Neural Networks
An Empirical Study on Estimating Energy Consumption From Software Traces
Visualization of big high dimensional data in a three dimensional space
Concerto: Leveraging Ensembles for Timely, Accurate Model Training Over Voluminous Datasets
Comparative Analysis of Motif-Based Anomaly Detection for Humidity Monitoring in Digital Twin Systems
NVHT: an efficient key-value storage library for non-volatile memory
An Efficient Iris Recognition Technique through Minimal Preprocessing and Custom CNN
Crowd Counting Using Deep Learning in Edge Devices
Any Data, Any Time, Anywhere: Global Data Access for Science
A Survey: Benchmarking and Performance Modelling of Data Intensive Applications
Workload-Aware Cache Management of Bitmap Indices
Improving the Validation of Automotive Self-Learning Systems through the Synergy of Scenario-Based Testing and Metamorphic Relations
Attribute Network Embedding Method based on Joint Clustering of Representation and Network
Methodology and elaboration of model for Map of Wildfire Risk: Application of Deep learning in the Regional Forest Fire Plan for the Region of Sardinia
Effects of the Number of Hyperparameters on the Performance of GA-CNN
Evaluating Lightweight GAN- and Adapted CTGAN-Based Data Synthesis for Predictive Maintenance in High-Radiation Environments
A satellite collision avoidance system based on General Regression Neural Network
PlayField: An Adaptable Framework for Integrative Sports Data Analysis
System Requirements for Decentralised Collaborative Machine Learning in Industry 4.0
Comparative Analysis of Pre-Trained Deep Neural Networks for Vision-Based Security Systems on a Novel Dataset
Extracting Health Evidence Information from Biomedical Literature using Large Language Models
A Decentralized SNS System Based on XMPP with Connection Control in Large-Scale Disasters
Distributed Orchestration of Regression Models Over Administrative Boundaries
A Data Compacting Technique to reduce the NetFlow size in Botnet Detection with BotCluster
Reinforcement Learning-based Optimization of EBike Charging infrastructure
The Impact of Basic Matrix Factorization Refinements on Recommendation Accuracy
A Preliminary Investigation with Twitter to Augment CVD Exposome Research
Linking User Accounts across Social Media Platforms
Conformal Prediction in Spark: Large-Scale Machine Learning with Confidence
Proposal and Evaluation of Event Search Method Based on SNS Data Analysis Focusing on Place and Time
Optimizing Video Analytics Inference Pipelines: A Case Study
Prediction of Bus Delay over Intervals on Various Kinds of Routes Using Bus Probe Data
Implementation of Distributed XA Transactions in MyCat Based on Table Broadcasting Mechanism
Cloud-Based Phishing Awareness Analyzer for Automated User Training and Assessment
IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2024, Sharjah, United Arab Emirates, December 16-19, 2024
Continuous Alignment of Business and IT Enterprise Architecture Modeling through Blockchain and Anomaly Detection
Monitoring Data Streams at Process Level in Scientific Big Data Batch Clusters
IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2022, Vancouver, WA, USA, December 6-9, 2022
Unusual Invoice Detection Using a Permutation Based Genetic Algorithm
SAPAM: a scalable "activities in places" analysis mechanism for informed place design
Accelerating Machine Learning I/O by Overlapping Data Staging and Mini-batch Generations
PRRL: Path Rotation based Knowledge Graph Representation Learning method
An Experimental Analysis on Mining Proportional Process Models from Process Logs
Building a Datasets for Character Product Detection from SNS
Supporting Green Neuromorphic Computing: Machine Learning Guided Microfabrication for Resistive Random Access Memory
BDCAT '21: 2021 IEEE/ACM 8th International Conference on Big Data Computing, Applications and Technologies, Leicester, United Kingdom, December 6 - 9, 2021
Make Federated Learning a Standard in Robotics by Using ROS2
Neighborhood features help detecting non-technical losses in big data sets
Towards Efficient and Privacy-Preserving Cloud Computing
BullyHCL: Unsupervised Heterogeneous Graph Contrastive Learning Framework for Session-based Cyberbullying Detection
Real-time Route Planning to Reduce Pedestrian Pollution Exposure in Urban Settings
Information Diffusion on Twitter: Pattern Recognition and Prediction of Volume, Sentiment, and Influence
AI-Driven Innovations for Secure and Efficient Medical Consultations
Single-Round Zero-Knowledge Proof for the Square-Root Problem in Cloud Systems
Non-Linear Machine Learning with Active Sampling for MOX Drift Compensation
Scaling AI for Embryo Transition Detection: Benchmarking Spatio-Temporal Deep Models
Enhanced Pediatric Pneumonia Diagnosis with Chest X-Ray using Deep Attention Mechanism
Edge-enhanced analytics via latent space dimensionality reduction
Deep Learning Models in Simulating and Analyzing Smart Grid Stability and Resilience
FaultHunter: Automatically Detecting Vulnerabilities in C against Fault Injection Attacks
Predicting ICU Admissions using Interpretable Machine Learning
Estimating Fruit Crop Yield through Deep Learning
Evolutionary Train-Test Split for Hierarchical Monte Carlo Ensemble
Characterizing User Decision based on Argumentative Reviews
A Mobile Application for Dog Breed Detection and Recognition Based on Deep Learning
Prediction of Air Pollution through Machine Learning Approaches on the Cloud
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision
Predicting Initial Coin Offering Success Using Machine Learning and Human Capital Analysis
Non-negative multiple matrix factorization with social similarity for recommender systems
A Parallel Processing Approach for Video Data Filtering Using NLP and Object Detection
A Positive Approximation Set Based Accelerating Approach for Condition Attribute Reduction
Strengthening Food Security: A Comparison of Food Import Forecasting Models
Understanding DNS Query Composition at B-Root
CoS-HDFS: co-locating geo-distributed spatial data in hadoop distributed file system
Image Processing and Machine Learning for Tumor Tissue Detection Using MRI Images in Bacteria Based Cancer Therapy
A scalable storage system for structured data based on higher order index array
Detecting and Mitigating Adversarial Perturbations to Improve E-Commerce Security
GeoLens: Enabling Interactive Visual Analytics over Large-Scale, Multidimensional Geospatial Datasets
Compressed Matrix Computations
Optimizing Domestic Energy Consumption: A Comprehensive Plug for Enhanced Monitoring and Efficiency
Trust Management In IoT Drinking Water Treatment Plants
Node architecture implications for in-memory data analytics on scale-in clusters
Enhanced Deep Learning Super-Resolution for Bathymetry Data
Multiscale Clustering Based Diffusion Representation Learning Method
A Proactive Data-Parallel Framework for Machine Learning
EPSAPG: A Pipeline Combining MMseqs2 and PSI-BLAST to Quickly Generate Extensive Protein Sequence Alignment Profiles
Mining Large Data to Create a Balanced Vulnerability Detection Dataset for Embedded Linux System
Machine Learning-Based Big Data Analytics in Smart Cities: A Survey of Current Trends and Future Research Directions
Towards Explainable Network Intrusion Detection using Large Language Models
Flamingo Diet and Health Detection Based on Colour Classification
Empirical analysis of asymptotic ensemble learning for big data
WiFi's Unspoken Tales: Deep Neural Network Decodes Human Behavior from Channel State Information
Skipping Unused Events to Speed Up Rollback-Recovery in Distributed Data-Parallel CEP
Rubiks: Rapid Explorations and Summarization over High Dimensional Spatiotemporal Datasets
Simulating Aggregation Algorithms for Empirical Verification of Resilient and Adaptive Federated Learning
Feature Engineering and Classification Models for Partial Discharge Events in Power Transformers
Cardiotocography Signal Abnormality Detection Based on Deep Semi-Unsupervised Learning
Context-aware Resemblance Detection based Deduplication Ratio Prediction for Cloud Storage
A Covering Classification Rule Induction Approach for Big Datasets
An Effective Supplementation of Insufficient Data by Generative Adversarial Networks
Benchmarking and Performance Modelling of Dataflow with Cycles
A Unified Computation Engine for Big Data Analytics
Mining PMU Data Streams to Improve Electric Power System Resilience
Large-scale 3D Reconstruction with an R-based Analysis Workflow
A big data analytics based approach to anomaly detection
Research on semantic orientation classification of chinese online product reviews based on multi-aspect sentiment analysis
Evaluating Serverless Architecture for Big Data Enterprise Applications
Temporal Dynamics and Anomaly Detection in Transactional Networks
Proceedings of the IEEE/ACM 12th International Conference on Big Data Computing, Applications and Technologies, BDCAT 2025, Nantes, France, December 1-4, 2025
Recurrent Embedding Kernel for Predicting Stock Daily Direction
GPU Acceleration of Range Queries over Large Data Sets
Deepfake Detection through Deep Learning
Bridging Real and Virtual: Human Digital Twin Strategies for Workspaces
Proof of Clustering: an efficient and reliable blockchain-based clustering framework
Optimizing Wireless Sensor Network Topology with Deep Reinforcement Learning for Multi-Source/Destination Scenarios
NeuraSearchLib: A Modular and Extensible Library for Neural Architecture Search with Configurable Search Spaces
Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, Applications and Technologies, BDCAT 2023, Taormina (Messina), Italy, December 4-7, 2023
Spark-DIY: A Framework for Interoperable Spark Operations with High Performance Block-Based Data Models
Real-Time Traffic Classification through Deep Learning
Scrybe: Enabling Programmatic Interfaces for Explorations Over Voluminous Spatiotemporal Data Collections
Analysis of lightweight CNN-Based Intrusion Detection Models in IoT
Improved PBFT Consensus Based on Reputation System in Vehicle Network
Deep kernel: learning kernel function from data using deep neural network
Social community detection based on node distance and interest
H2F: a hierarchical hadoop framework for big data processing in geo-distributed environments
Crowd-Counting through a Cascaded, Multi-Task Convolutional Neural Network
An Imputation-based Augmented Anomaly Detection from Large Traces of Operating System Events
Development of a Radiology Decision Support System for the Classification of MRI Brain Scans
A Deep Reinforcement Learning based Homeostatic System for Unmanned Position Control
Soccer Video Summarization Using Video Content Analysis and Social Media Streams
Evaluating Deep Learning Algorithms for Real-Time Arrhythmia Detection
Performance Analysis of Large Scale Distributed Systems by Ranking Dominant Features
An Empirical Performance Evaluation of Semantic-Based Similarity Measures in Microblogging Social Media
2D and 3D Physics Informed Neural Networks to Model Pollution Spread with Obstructions
A Simple and Efficient Federated Recommender System
Survey of data intensive computing technologies application to to security log data management
Focused Stochastic Neighbor Embedding for Better Preserving Points of Interest
Topic Variation Detection Method for Detecting Political Business Cycles
Deep Understanding of a Document's Structure
Zero Trust Architecture for Ransomware Defense in Virtualized Environment
GDup: De-Duplication of Scholarly Communication Big Graphs
A hybrid method of recommending POIs based on context and personal preference confidence
A Digital Twin for Maritime Situational Awareness
Iris: Amortized, Resource Efficient Visualizations of Voluminous Spatiotemporal Datasets
Big Data Aware Virtual Machine Placement in Cloud Data Centers
Data Quality and Linguistic Cues for Domain-independent Deception Detection
An Incremental Community Detection Method in Social Big Data
An Exploration of Commuter Travel Time Through Social Media Analytics on the Cloud
A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer's Disease
Modeling and Analysis of a Deep Learning Pipeline for Cloud based Video Analytics
Simulated Forest Environment and Robot Control Framework for Integration with Cover Detection Algorithms
A benchmarking platform for analyzing corpora of traces: the recognition of the users' involvement in fields of competencies
Building Large-Scale Deep Learning System for Entity Recognition in E-Commerce Search
Towards a Hybrid Imputation Approach Using Web Tables
An Explanation Technique For Yield Prediction in Smart Farming
Managing Variant Calling Files the Big Data Way: Using HDFS and Apache Parquet
Not too late to identify potential churners: early churn prediction in telecommunication industry
Optimizing Code Embeddings and ML Classifiers for Python Source code Vulnerability Detection
A Scalable Data Science Workflow Approach for Big Data Bayesian Network Learning
7th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2020, Leicester, United Kingdom, December 7-10, 2020
Are Clouds Ready to Accelerate Ad Hoc Financial Simulations?
Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2016, Shanghai, China, December 6-9, 2016
Building the Dresden Web Table Corpus: A Classification Approach
Integrating Multiscale Mapper Features with Machine Learning Techniques to Improve Breast Cancer Classification Accuracy
Gaia: Hybrid Hardware Acceleration for Serverless AI in the 3D Compute Continuum
5th IEEE/ACM International Conference on Big Data Computing Applications and Technologies, BDCAT 2018, Zurich, Switzerland, December 17-20, 2018
How to evaluate NoSQL Database Paradigms for Knowledge Graph Processing
A Biologically-Inspired Approach to Network Traffic Classification for Resource-Constrained Systems
A 1DCNN_Filter to Optimize a Distributed Somatic Variant Calling based on Spark
Accuracy-Fairness Tradeoff in Parole Decision Predictions: A Preliminary Analysis
Atmospheric Gravity Wave Detection Using Transfer Learning Techniques
Understanding Behavior Trends of Big Data Frameworks in Ongoing Software-Defined Cyber-Infrastructure
3D object recognition for Virtual Reality based Digital Twins
Performance characterization of hadoop workloads on SR-IOV-enabled virtualized InfiniBand clusters
The REThinkWASTE data integration and analytics platform for intelligent waste management
FaBRiQ: Leveraging Distributed Hash Tables towards Distributed Publish-Subscribe Message Queues
Explainable AI: Classification of MRI Brain Scans Orders for Quality Improvement
Privacy-Preserving Adversarial Network (PPAN) for Continuous non-Gaussian Attributes
Detection of Uncertainty in Exceedance of Threshold (DUET): An Adversarial Patch Localizer
Automatic Mining of Multi-granularity Temporal Regularity from Trajectory Data
Communication and Energy Efficient Edge Intelligence
Towards a comprehensive data lifecycle model for big data environments
Rapid Evaluation of Cost and Whole Life Carbon of Buildings Using Artificial Intelligence
Early detection of backdoor attacks in federated learning via ecosystemic symmetry breaking
A Framework for Profiling Spatial Variability in the Performance of Classification Models
Exploring the Knowledge Mismatch Hypothesis: Hallucination Propensity in Small Models Fine-tuned on Data from Larger Models
SWIN and Vision Transformer-Driven Crack Detection in the Al Qattara Oasis, UAE: Towards Sustainable Infrastructure Management
Plant Diseases Recognition Using Machine Learning Algorithms
Privacy-Preserving Intrusion Detection System for Internet of Vehicles using Split Learning
Victream: Computing Framework for Out-of-Core Processing on Multiple GPUs
Quantitative Verification of Social Media Networks: The Case Study of Twitter
Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2019, Auckland, New Zealand, December 2-5, 2019
Cryptocurrency Price Prediction using Time Series and Social Sentiment Data