yusuke1997/dblp-id-title huggingface dataset:
Pay attention and you won't lose it: a deep learning approach to sequence imputation
Schema and content aware classification for predicting the sources containing an answer over corpus and knowledge graphs
Cultural differences in music features across Taiwanese, Japanese and American markets
YOLOvFIS: a YOLO network for fruit instance segmentation
Postures anomaly tracking and prediction learning model over crowd data analytics
Machine learning can differentiate venom toxins from other proteins having non-toxic physiological functions
Dynamic stacking ensemble for cross-language code smell detection
Combining active learning suggestions
Application and evaluation of knowledge graph embeddings in biomedical data
MF-Storm: a maximum flow-based job scheduler for stream processing engines on computational clusters to increase throughput
Kid-size robot humanoid walking with heel-contact and toe-off motion
Enhanced recurrent attention-deep Q learning with optimal node constrains and effective penalty based model for data transmission scheduling on wireless sensor networks
Stylometry for real-world expert coders: a zero-shot approach
Pedagogical sentiment analysis based on the BERT-CNN-BiGRU-attention model in the context of intercultural communication barriers
eGAC3D: enhancing depth adaptive convolution and depth estimation for monocular 3D object pose detection
Drivable path detection for a mobile robot with differential drive using a deep Learning based segmentation method for indoor navigation
PermQRDroid: Android malware detection with novel attention layered mini-ResNet architecture over effective permission information image
LDAPrototype: a model selection algorithm to improve reliability of latent Dirichlet allocation
Evaluation of cultivated land quality using attention mechanism-back propagation neural network
Enhanced text clustering and sentiment analysis framework for online education: a BIF-DCN approach in computer education
A novel hyperspectral compressive sensing framework of plant leaves based on multiple arbitrary-shape regions of interest
Balancing intelligence and intuition: a human-AI decision support model for strategic technology adoption in SMEs
Heart failure survival prediction using novel transfer learning based probabilistic features
Comprehensive analysis of clustering algorithms: exploring limitations and innovative solutions
Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation
Research on sentiment classification for netizens based on the BERT-BiLSTM-TextCNN model
Mitigating adversarial attacks in federated learning based network traffic classification applications using secure hierarchical remote attestation and adaptive aggregation framework
Spatial layout optimization model integrating layered attention mechanism in the development of smart tourism management
How Twitter data sampling biases U.S. voter behavior characterizations
A review of reinforcement learning based hyper-heuristics
Getting new algorithmic results by extending distance-hereditary graphs via split composition
Collaboro: a collaborative (meta) modeling tool
Determining dense velocity fields for fluid images based on affine motion
Learning structural bioinformatics and evolution with a snake puzzle
Yoga pose recognition using dual structure convolutional neural network
A novel text sentiment analysis system using improved depthwise separable convolution neural networks
Supervised ensemble learning methods towards automatically filtering Urdu fake news within social media
A novel no-sensors 3D model reconstruction from monocular video frames for a dynamic environment
Creation of mutants by using centrality criteria in social network analysis
Proactive detection of anomalous behavior in Ethereum accounts using XAI-enabled ensemble stacking with Bayesian optimization
Next-generation predictive maintenance: leveraging blockchain and dynamic deep learning in a domain-independent system
Block-based compressive sensing in deep learning using AlexNet for vegetable classification
Improving fraud detection with semi-supervised topic modeling and keyword integration
CSQUiD: an index and non-probability framework for constrained skyline query processing over uncertain data
The proposal of a modeling methodology for an industrial internet information model
Automatic classification of kidney CT images with relief based novel hybrid deep model
Detection of fake face images using lightweight convolutional neural networks with stacking ensemble learning method
iPro-CSAF: identification of promoters based on convolutional spiking neural networks and spiking attention mechanism
Spot the bot: the inverse problems of NLP
ACR-SA: attention-based deep model through two-channel CNN and Bi-RNN for sentiment analysis
Efficient classification of COVID-19 CT scans by using q-transform model for feature extraction
A hybrid GA-ANN machine learning with novel DBSTLink data balancing approach for driving action detection: solution to road crash prediction
Deep feature fusion for melanoma detection using ResNet-VGG networks with attention mechanism
Scheduling algorithms for data-protection based on security-classification constraints to data-dissemination
Studying the impact of CI on pull request delivery time in open source projects - a conceptual replication
Nowcasting commodity prices using social media
A review of open-source image analysis tools for mammalian cell culture: algorithms, features and implementations
4D street view: a video-based visualization method
The effect of different initial solutions on the metaheuristic algorithms for the single allocation p-hub center and routing problem
Attribute based honey encryption algorithm for securing big data: Hadoop distributed file system perspective
A hybrid extraction model for semantic knowledge discovery of water conservancy big data
AlphaDDA: strategies for adjusting the playing strength of a fully trained AlphaZero system to a suitable human training partner
A hybrid deep learning paradigm integrating segmentation architectures for precise plant disease identification and classification
EFR-FCOS: enhancing feature reuse for anchor-free object detector
Non-destructive detection of highway hidden layer defects using a ground-penetrating radar and adaptive particle swarm support vector machine
An improved measure for belief structure in the evidence theory
A comparison of chain-of-thought reasoning strategies across datasets and models
Acute lymphoblastic leukemia cancer diagnosis in children and adults using transforming blood fluorescence microscopy imaging
Graph data science and machine learning for the detection of COVID-19 infection from symptoms
AdCOFE: Advanced Contextual Feature Extraction in conversations for emotion classification
Classifying reservoir facies using attention-based residual neural networks
Approaches combining methods of Operational Research with Business Process Model and Notation: A systematic review
Optimal 1-NN prototypes for pathological geometries
An explainable multi-objective hybrid machine learning model for reducing heart failure mortality
A DoS attack detection method based on adversarial neural network
Design of information management model based on multiobjective optimization algorithm in intelligent electric financial system
Making simulation results reproducible - Survey, guidelines, and examples based on Gradle and Docker
Randomized routing of virtual machines in IaaS data centers
Efficient deep learning model for classifying lung cancer images using normalized stain agnostic feature method and FastAI-2
Online supervised attention-based recurrent depth estimation from monocular video
Short-term wind speed prediction of wind farm based on TSO-VMD-BiLSTM
Identification of mobile development issues using semantic topic modeling of Stack Overflow posts
A comprehensive approach for waste management with GAN-augmented classification
Multi-feature fusion and dandelion optimizer based model for automatically diagnosing the gastrointestinal diseases
A novel autonomous container-based platform for cybersecurity training and research
Exploring mHealth interventions for medication management: a scoping review of digital tools, implementation barriers, and patient outcomes
What does Chinese BERT learn about syntactic knowledge?
Adaptive visual detection of industrial product defects
Early detection and analysis of accurate breast cancer for improved diagnosis using deep supervised learning for enhanced patient outcomes
An integrated cuckoo search optimizer for single and multi-objective optimization problems
A regularized stochastic configuration network based on weighted mean of vectors for regression
Human-robot interaction: the impact of robotic aesthetics on anticipated human trust
Usable comprehensive-factor authentication for a secure time attendance system
Forecasting CO 2 emissions of fuel vehicles for an ecological world using ensemble learning, machine learning, and deep learning models
Splitting ore from X-ray image based on improved robust concave-point algorithm
Improved salp swarm algorithm based optimization of mobile task offloading
Enhanced related-key differential neural distinguishers for SIMON and SIMECK block ciphers
Leveraging aspect phrase embeddings for cross-domain review rating prediction
A cascading policy learning framework for enhancing power grid resilience
Detection of coffee leaf disease and identification using deep learning
Adjusting eye aspect ratio for strong eye blink detection based on facial landmarks
Tools4MSP: an open source software package to support Maritime Spatial Planning
Eliminating bias: enhancing children's book recommendation using a hybrid model of graph convolutional networks and neural matrix factorization
Intelligent lecture recording system based on coordination of face-detection and pedestrian dead reckoning
Efficient geospatial mapping of buildings, woodlands, water and roads from aerial imagery using deep learning
A framework for generating recommendations based on trust in an informal e-learning environment
Detection of renal cell hydronephrosis in ultrasound kidney images: a study on the efficacy of deep convolutional neural networks
An attention embedded DUAL-LSTM method for financial risk early warning of the three new board-listed companies
On the impact of service-oriented patterns on software evolvability: a controlled experiment and metric-based analysis
DCGAN-based synthetic image generation of denim jeans defects
Fake news detection: a survey of evaluation datasets
Improving course evaluation processes in higher education institutions: a modular system approach
Generative adversarial network based adaptive data augmentation for handwritten Arabic text recognition
An anomaly detection model for multivariate time series with anomaly perception
Decoding of the neural representation of the visual RGB color model
Bridging code and timely feedback: integrating generative AI into a programming platform
Research on the evaluation method of English textbook readability based on the TextCNN model and its application in teaching design
Optimized models and deep learning methods for drug response prediction in cancer treatments: a review
Vehicle detection and classification using an ensemble of EfficientDet and YOLOv8
Intelligent model for the detection and classification of encrypted network traffic in cloud infrastructure
Autonomous intersection over union (IoU) loss: adaptive dynamic non-monotonic focal IoU loss
Approximate spectral clustering using both reference vectors and topology of the network generated by growing neural gas
A unified approach for cluster-wise and general noise rejection approaches for k-means clustering
MetaSwin: a unified meta vision transformer model for medical image segmentation
A new clustering method based on multipartite networks
The impact of new package managers on the library dependency ecosystem
An automatic system for extracting figure-caption pair from medical documents: a six-fold approach
Autonomous schema markups based on intelligent computing for search engine optimization
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation
Optimizing statistical evaluation of multiclass classification in diagnostic radiology: a study of the two-parameter multidimensional nominal response model
Profiling SLAs for cloud system infrastructures and user interactions
Convolutional neural network (CNN) based month's name recognition in Gurumukhi script for Punjab state of India
Wi-Fi sensing gesture control algorithm based on semi-supervised generative adversarial network
A deep learning approach for the detection and counting of colon cancer cells (HT-29 cells) bunches and impurities
A two-phase transfer learning framework for gastrointestinal diseases classification
FEEL: fast and effective emotion labeling, a dual ensemble approach for effective facial emotion recognition
Urdu text in natural scene images: a new dataset and preliminary text detection
Multi-objective federated learning traffic prediction in vehicular network for intelligent transportation system
A novel nature-inspired feature selection algorithm for efficient moisture estimation in fruits using RF-Sensed data
Tencent Meeting forensics based on memory reverse analysis
Open-source data management system for Parkinson's disease follow-up
SLPDBO-BP: an efficient valuation model for data asset value
Early survey with bibliometric analysis on machine learning approaches in controlling COVID-19 outbreaks
Leveraging deep learning and ensemble learning for air quality forecasting in smart urban environment
Real-time food allergen detection using OCR-enhanced machine learning techniques
Extracting automata from neural networks using active learning
An efficient and secure technique for image steganography using a hash function
Risk assessment based on a new decision-making approach with fermatean fuzzy sets
Enhanced futures price-spread forecasting based on an attention-driven optimized LSTM network: integrating an improved grey wolf optimizer algorithm for enhanced accuracy
DA-FIS: A high-speed dynamic adaptive fault injection server framework for reliable FPGA-based embedded systems
Learning with semantic ambiguity for unbiased scene graph generation
Chinese text classification by combining Chinese-BERTology-wwm and GCN
A GAN-based approach to solar radiation prediction: data augmentation and model optimization for Saudi Arabia
Influence of tweets and diversification on serendipitous research paper recommender systems
Migrating birds optimization-based feature selection for text classification
Who participates in computer science education studies? A literature review on K-12 subjects
Optimization of carton recycling site selection using particle swarm optimization algorithm considering residents' recycling willingness
Machine learning based IoT system for secure traffic management and accident detection in smart cities
Otitis media detection using tympanic membrane images with a novel multi-class machine learning algorithm
A novel clustered-based detection method for shilling attack in private environments
A new machine learning method for rainfall classification: temporal random tree
A machine learning-based approach for sentiment analysis on distance learning from Arabic Tweets
The role of metacognition in promoting deep learning in MOOCs during COVID-19 pandemic
Data in the time of COVID-19: a general methodology to select and secure a NoSQL DBMS for medical data
CST-Net: community-guided structural-temporal convolutional networks for popularity prediction
A novel similarity measurement for triangular cloud models based on dual consideration of shape and distance
Quality assuring the quality assurance tool: applying safety-critical concepts to test framework development
Temporal constrained objects for modelling neuronal dynamics
An enhanced algorithm for semantic-based feature reduction in spam filtering
Synchronizing smart city nodes using Skew Integrated Timestamp (SIT)
Recognition of maize seed varieties based on hyperspectral imaging technology and integrated learning algorithms
Undergraduate data science degrees emphasize computer science and statistics but fall short in ethics training and domain-specific context
Enhancing early breast cancer diagnosis through automated microcalcification detection using an optimized ensemble deep learning framework
Leveraging PSO-MLP for intelligent assessment of student learning in remote environments: a multimodal approach
Research on sports activity behavior prediction based on electromyography signal collection and intelligent sensing channel
Framework to perform taint analysis and security assessment of IoT devices in smart cities
Nearest labelset using double distances for multi-label classification
Sales forecasting for retail stores using hybrid neural networks and sales-affecting variables
GeoDFNet: a point-of-interest classification algorithm with dual fusion of geospatial local neighborhood features
Supply forecasting and profiling of urban supermarket chains based on tensor quantization exponential regression for social governance
Efficient steganalysis using convolutional auto encoder network to ensure original image quality
An analysis of the locality of binary representations in genetic and evolutionary algorithms
Noise injection into Freeman chain codes
An intelligent anomaly detection system for IoT using a hybrid metaheuristic evolutionary strategy
Architecture design of a reinforcement environment for learning sign languages
People's expectations and experiences of big data collection in the Saudi context
Concurrent design of control software and configuration of hardware for robot swarms under economic constraints
Automatic dependent surveillance-broadcast (ADS-B) anomalous messages and attack type detection: deep learning-based architecture
Modeling time series by aggregating multiple fuzzy cognitive maps
Unveiling personalized and gamification-based cybersecurity risks within financial institutions
A GRU-based traffic situation prediction method in multi-domain software defined network
Fuzzy evaluation and explainable machine learning for diagnosis of rheumatic and autoimmune diseases
A survey on multi-lingual offensive language detection
Convolutional neural networks approach for multimodal biometric identification system using the fusion of fingerprint, finger-vein and face images
SAMGAT: structure-aware multilevel graph attention networks for automatic rumor detection
Anomaly detection for blueberry data using sparse autoencoder-support vector machine
Enhancing discovery in spatial data infrastructures using a search engine
A novel value-based multi-criteria decision making approach to evaluate new technology adoption in SMEs
Enhanced object detection of Enterobius vermicularis eggs using cumulative transfer learning algorithm
Quick mining in dense data: applying probabilistic support prediction in depth-first order
Coronary artery disease classification using ConvMixer based classifier from CT angiography images
Ensemble techniques for detecting profile cloning attacks in online social networks
Matching individual attributes with task types in collaborative citizen science
A dual nonsubsampled contourlet network for synthesis images and infrared thermal images denoising
Determination of server location in emergency care systems: an index proposal using data envelopment analysis and the hypercube queuing model
Adaptive tourism forecasting using hybrid artificial intelligence model: a case study of Xi'an international tourist arrivals
Foreign object debris detection in lane images using deep learning methodology
Image-based effective feature generation for protein structural class and ligand binding prediction
Bidirectional encoder representations from transformers (BERT) driven approach for identifying feasible software enhancements
The geometry of meaning: evaluating sentence embeddings from diverse transformer-based models for natural language inference
Enhort: a platform for deep analysis of genomic positions
Identifying Twitter users who repost unreliable news sources with linguistic information
A novel attention-based deep learning model for improving sentiment classification after the case of the 2023 Kahramanmaras/Turkey earthquake on Twitter
Persian sentiment analysis of an online store independent of pre-processing using convolutional neural network with fastText embeddings
Oil spill identification in X-band marine radar image using K-means and texture feature
Privacy-preserving solution for vehicle parking services complying with EU legislation
Exploring prompting for dialectical machine translation: a focus on north Jordanian Arabic
Design of a pollution ontology-based event generation framework for the dynamic application of traffic restrictions
Blockchain and explainable-AI integrated system for Polycystic Ovary Syndrome (PCOS) detection
Safeguarding the healthcare sector from ransomware attacks: insights from a literature review
An optimized ensemble model with advanced feature selection for network intrusion detection
A cluster-assisted differential evolution-based hybrid oversampling method for imbalanced datasets
An AutoEncoder enhanced light gradient boosting machine method for credit card fraud detection
A temporal knowledge graph reasoning model based on recurrent encoding and contrastive learning
A Sparse-Modeling Based Approach for Class Specific Feature Selection
A systematic literature review of hate speech identification on Arabic Twitter data: research challenges and future directions
Building a Korean morphological analyzer using two Korean BERT models
Application of deep learning on font design for ethnic minority writing systems
Linguacodus: a synergistic framework for transformative code generation in machine learning pipelines
Sentiment analysis of pilgrims using CNN-LSTM deep learning approach
Graph-based methods for Author Name Disambiguation: a survey
Enhancing sentiment analysis of online comments: a novel approach integrating topic modeling and deep learning
Developing a tablet-based brain-computer interface and robotic prototype for upper limb rehabilitation
Probing language identity encoded in pre-trained multilingual models: a typological view
Robust MPC for polytopic uncertain systems via a high-rate network with the round-robin scheduling
TechMark: a framework for the development, engagement, and motivation of software teams in IT organizations based on gamification
Robust multi-view locality preserving regression embedding
Atom Search Optimization: a comprehensive review of its variants, applications, and future directions
Diagnosis and application of rice diseases based on deep learning
Improved deep learning image classification algorithm based on Swin Transformer V2
HFSA: hybrid feature selection approach to improve medical diagnostic system
An improved point cloud denoising method in adverse weather conditions based on PP-LiteSeg network
Advanced multiple document summarization via iterative recursive transformer networks and multimodal transformer
Enhanced mutation strategy based differential evolution for global optimization problems
A simplified approach for efficiency analysis of machine learning algorithms
The accuracy-bias trade-offs in AI text detection tools and their impact on fairness in scholarly publication
An interactive audio-visual installation using ubiquitous hardware and web-based software deployment
Using deep learning-based artificial intelligence electronic images in improving middle school teachers' literacy
Heuristic-based load balancing for identical virtual machines: a fair scheduling approach using probabilistic methods
Assistive technology acceptance for visually impaired individuals: a case study of students in Saudi Arabia
FERDCNN: an efficient method for facial expression recognition through deep convolutional neural networks
A P2P multi-path routing algorithm based on Skyline operator for data aggregation in IoMT environments
Mental illness detection through harvesting social media: a comprehensive literature review
A study on evaluation of english hybrid teaching courses based on AHP and K-means