yusuke1997/dblp-id-title huggingface dataset:
A Prediction Modelling and Pattern Detection Approach for the First-Episode Psychosis Associated to Cannabis Use
Feature Changes in Source Code for Commit Classification Into Maintenance Activities
A Physics-Informed Graph Attention-based Approach for Power Flow Analysis
Discover the power of social and hidden curriculum to decision making: experiments with enron email and movie newsgroups
Scalable Overlapping Co-clustering of Word-Document Data
Generalized Convolutional Neural Networks for Point Cloud Data
Evaluating the Clinical Applicability of Neural Networks for Meningioma Tumor Segmentation on Multiparametric 3D MRI
Automatic Topic Labeling Using Ontology-Based Topic Models
DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection
A Machine-Learning Based Approach for Measuring the Completeness of Online Privacy Policies
Fuzzy-Rough Cognitive Networks: Building Blocks and Their Contribution to Performance
Malware Detection in Android-Based Mobile Environments Using Optimum-Path Forest
Improved quality of interference in multilevel secure knowledge-based systems
Approach to Cold-Start Problem in Recommender Systems in the Context of Web-Based Education
Multiview Centroid Based Fuzzy Classification of Large Data
From Serve-on-Demand to Serve-on-Need: A Game Theoretic Approach
Non-Linear Feature Selection for Prediction of Hospital Length of Stay
Unveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions
Hidden Pieces: An Analysis of Linear Probes for GPT Representation Edits
Separating Flows in Encrypted Tunnel Traffic
Text Categorization Using Modified-CHI Feature Selection and Document/Term Frequencies
Towards Self-Learning Optical Music Recognition
Exploiting Stereo Sound Channels to Boost Performance of Neural Network-Based Music Transcription
Kernel SODA: A Feature Reduction Technique Using Kernel Based Analysis
Recommendation Model Based on a Contextual Similarity Measure
Coupled Directional Level Set for MR Image Segmentation
LIPID: Local Image Permutation Interval Descriptor
Variational Information Bottleneck with Gaussian Processes for Time-Series Classification
CONetV2: Efficient Auto-Channel Size Optimization for CNNs
Deep Structure Learning: Beyond Connectionist Approaches
Supervised Machine Learning Based Surface Inspection by Synthetizing Artificial Defects
A Nonnegative Tensor Factorization Approach for Three-Dimensional Binary Wafer-Test Data
Statistical Fault Localization Based on Importance Sampling
Student Retention Pattern Prediction Employing Linguistic Features Extracted from Admission Application Essays
Multi -View Clustering Using Sparse Non-Negative Matrix Factorization for Recommendation Systems
Evolution of Parameters for an Autonomous Canine Control Algorithm
Solving the Academic Timetable Problem Thinking on Student Needs
Gaussian Processes for Object Detection in High Resolution Remote Sensing Images
Hierarchical Learning for Training Large-Scale Variational Quantum Circuits
Cyberbullying Detection with a Pronunciation Based Convolutional Neural Network
Inferring Convolutional Neural Networks' Accuracies from Their Architectural Characterizations
Studying the Effect of Class Imbalance in Ocean Turbine Fault Data on Reliable State Detection
SAttisUNet: UNet-like Swin Transformer with Attentive Skip Connections for Enhanced Medical Image Segmentation
Advanced Decision Making and Interpretability through Neural Shrubs
Zero-Shot Text Matching for Automated Auditing using Sentence Transformers
Graph Propositionalization for Random Forests
A system of systems (SoS) design amplifier
Joint Adversarial Domain Adaptation for Resilient WiFi-Enabled Device-Free Gesture Recognition
Survival Prediction in Lung Cancer Treated with Radiotherapy: Bayesian Networks vs. Support Vector Machines in Handling Missing Data
Microvilli Semantic Segmentation in Microscopy Images Using a Visual Learning Pipeline
Data Analysis, Discharge Classifications, and Predictions of Hydrological Parameters for the Management of Rawal Dam in Pakistan
Leveraging A* Pathfinding for Efficient Deep Reinforcement Learning in Obstacle-Dense Environments
Physics-Informed Neural Networks for prediction of transformer's temperature distribution
Automatic CNN Compression System for Autonomous Driving
2IBGSOM: interior and irregular boundaries growing self-organizing maps
Multiple Instance Learning approaches for Melanoma and Dysplastic Nevi images classification
Classification of Live Moths Combining Texture, Color and Shape Primitives
10th International Conference on Machine Learning and Applications and Workshops, ICMLA 2011, Honolulu, Hawaii, USA, December 18-21, 2011. Volume 2: Special Sessions and Workshop
Regression Ensembles for Fast Design Space Exploration of Heterogeneous Hardware Designs
Word class representations spontaneously emerge in a deep neural network trained on next word prediction
A Hierarchical Model for StarCraft II Mini-Game
Improving Explainability of Image Classification in Scenarios with Class Overlap: Application to COVID-19 and Pneumonia
Riemannian Shape Analysis Based on Meridian Curves
Depression Classification Algorithm Based on Voice Signals Using MFCC and CNN Autoencoders
Pre-image Problem in Manifold Learning and Dimensional Reduction Methods
Enhancing Complex Image Synthesis with Conditional Generative Models and Rule Extraction
A Data-Mining Approach to Travel Price Forecasting
Practical Techniques for Using Neural Networks to Estimate State from Images
Stable On-Line Learning with Optimized Local Learning, But Minimal Change of the Global Output
Graph Signal Processing Unearths the Best Locations for Soil Moisture Sensors
A Machine Learning Based WSN System for Autism Activity Recognition
Determining Risk Factors for Long COVID Using Positive Unlabeled Learning on Electronic Health Records Data from NIH N3C
An Evaluation Study on Circuit Parameter Conditions of Neural Network Controlled DC-DC Converter
Scalable Ensemble Learning by Adaptive Sampling
COVID-19 Detection from Cough Recording by means of Explainable Deep Learning
SUPRDAD: A Robust Feature Extractor Better Recognizes Low-Prevalent Retinal Diseases
Lean Training Data Generation for Planar Object Detection Models in Unsteady Logistics Contexts
Transfer Learning on Phasor Measurement Data from a Power System to Detect Events in Another System
Design of Chaos-Based Communication System with Use of the Derivative-Free Nonlinear Kalman Filter
Transformer-Based Speech Synthesizer Attribution in an Open Set Scenario
Regression with n→1 by Expert Knowledge Elicitation
Mining of Frequent Externally Extensible Outerplanar Graph Patterns
A Highly Distributable Computational Framework for Fast Cloud Data Retrieval
WiFi Localization for Mobile Robots Based on Random Forests and GPLVM
A Classification Approach for Risk Prognosis of Patients on Mechanical Ventricular Assistance
Financial Fraud Detection using Jump-Attentive Graph Neural Networks
A Neural Network Model for Learning Data Stream with Multiple Class Labels
Educational Data Mining: Analysis of Drop out of Engineering Majors at the UnB - Brazil
Direct evolution of hierarchical solutions with self-emergent substructures
A minimum classification error (MCE) framework for generalized linear classifier in machine learning for text categorization/retrieval
Iterative Deep Learning Based Unbiased Stereology with Human-in-the-Loop
Age Estimation from Fingerprints: Examination of the Population in Turkey
Using Neural Networks to Predict Breathing Motion
Semi-Supervised Machine Learning for Analyzing COVID-19 Related Twitter Data for Asian Hate Speech
Trade-offs in Metric Learning for Bearing Fault Diagnosis
Towards the Integration of a Post-Hoc Interpretation Step into the Machine Learning Workflow for IoT Botnet Detection
Compressive Clustering of High-Dimensional Data
Spatio-Temporal FAST 3D Convolutions for Human Action Recognition
Fast-Image2Point: Towards Real-Time Point Cloud Reconstruction of a Single Image using 3D Supervision
Non-Alignment Features Based Enzyme/Non-Enzyme Classification Using an Ensemble Method
Feature Extraction and K-means Clustering Approach to Explore Important Features of Urban Identity
Planning with predictive state representations
Supervised reinforcement learning using behavior models
Determining Potential Yeast Longevity Genes via PPI Networks and Microarray Data Clustering Analysis
Voting Heterogeneous Ensemble for Code Smell Detection
Crafting Adversarial Examples for Deep Learning Based Prognostics
Generalizing Functional Error Correction for Language and Vision-Language Models
Energy Efficient ECG Classifier Using Smart Lead Switching and Apache TVM
Segmentation of Lesions with Improved Specificity in Computer-Aided Diagnosis Using a Massive-Training Artificial Neural Network (MTANN)
Trajectory growth lower bounds for random sparse deep ReLU networks
Muscle Categorization Using Quantitative Needle Electromyography: A 2-Stage Gaussian Mixture Model Based Approach
Community Structure Identification: A Probabilistic Approach
Modeling and Training Radial Basis Functions with Integrate-and-Fire Neurons
A Novel Application of Principal Surfaces to Segmentation in 4D-CT for Radiation Treatment Planning
Interactive Visual Classification of Multivariate Data
Rethinking of Domain Users Control in Computer Vision Pipelines by Customized Attention
A New Clustering-Based Technique for the Acceleration of Deep Convolutional Networks
Text Mining Approach To Predict Non-Adherence
Identifying Gender from SMS Text Messages
An Empirical Study on the Stability of Feature Selection for Imbalanced Software Engineering Data
An Extension of the Consensus-Based Bundle Algorithm for Multi-agent Tasks with Task Based Requirements
Bayesian Nonparametric Clustering of Patients with Advanced Cancer on Anxiety and Depression
CANBERT: A Language-based Intrusion Detection Model for In-vehicle Networks
One-Shot Federated Group Collaborative Filtering
Q-Learning Acceleration via State-Space Partitioning
Multimodal Sparsity-Eager Support Vector Machines for Music Classification
Let's Federate - Effective Communication Strategy for Dynamic Client Participation
Federated Fuzzy Learning with Imbalanced Data
Sketch2Vis: Generating Data Visualizations from Hand-drawn Sketches with Deep Learning
Arabic Handwriting Recognition Using Concavity Features and Classifier Fusion
Does Wikipedia Information Help Netflix Predictions?
Text Classification via Network Topology: A Case Study on the Holy Quran
Exploring Sentence Vector Spaces through Automatic Summarization
Efficient Value Iteration Using Partitioned Models
Incremental Learning of Relational Action Rules
RNN-Based Classifier to Detect Stealthy Malware using Localized Features and Complex Symbolic Sequence
Enhanced Approach to Detection of SQL Injection Attack
Real-Time Patient Adaptivity for Freezing of Gait Classification Through Semi-Supervised Neural Networks
Using genetic programming for the induction of oblique decision trees
Towards a Feasible Palm Vein Verification Scheme Using Deep Autoencoder and Siamese Networks
Evolving kernel functions for SVMs by genetic programming
SIGMA: A Dataset for Text-to-Code Semantic Parsing with Statistical Analysis
Locally Convex Kernel Mixtures: Bayesian Subspace Learning
Deep Neural Network Piration without Accuracy Loss
Discriminative Apprenticeship Learning with Both Preference and Non-preference Behavior
Robotic Peg-in-Hole Insertion with Tight Clearances: A Force-based Deep Q-Learning Approach
Automatic Synonym and Phrase Replacement Show Promise for Style Transformation
Nuclide Identification using CsI(Tl) Gamma Ray Spectra and Neural Networks
Feature Subset Selection by Using Sorted Feature Relevance
Multimodal Parameter-exploring Policy Gradients
Robust Incremental Logistic Regression for Detection of Anomaly Using Big Data
Numerical Solution of Dirichlet Boundary Value Problems for Partial Differential Equations Using Quantum-Behaved Particle Swarm Optimization with Random Gaussian Function
A Genetic Algorithm to Optimize Lazy Learning Parameters for the Prediction of Customer Demands
Outperforming Clinical Practices in Breast Cancer Detection: A Superior Dense Neural Network in Classification and False Negative Reduction
Multi-Label Behavioral Health Classification from Police Narrative Report
Ranking Clusters of Postal Codes to Improve Recruitment in the Canadian Armed Forces
Exploring Multi-Level Threats in Telegram Data with AI-Human Annotation: A Preliminary Study
Supervised relevance neural gas and unified maximum separability analysis for classification of mass spectrometric data
Towards the Diagnosis of Heart Disease Using an Ensemble Learning Approach
Active Learning for Alert Triage
Towards Highly Efficient Anomaly Detection for Predictive Maintenance
V-CAS: A Realtime Vehicle Anti Collision System Using Vision Transformer on Multi-Camera Streams
Learning from the Crowd with Neural Network
LB-CNN: Convolutional Neural Network with Latent Binarization for Large Scale Multi-class Classification
An Efficient Approach for Enhancing GenAI Trustworthiness
An Efficient Pipeline for Pruning Convolutional Neural Networks
Physically Informed Graph-Based Deep Reasoning Net for Efficient Combinatorial Phase Mapping
Towards Graph Representation based Re-Identification of Chipwood Pallet Blocks
A Hierarchical, Bulk-Synchronous Stochastic Gradient Descent Algorithm for Deep-Learning Applications on GPU Clusters
Improving Audience Ratings Prediction of Japanese TV Dramas Using Knowledge-Based Embeddings
New Class Labeling and Evaluation Methodology for Balanced and Highly Imbalanced Data
A Fuzzy Genetic Algorithm Classifier: The Impact of Time-Series Load Data Temporal Dimension on Classification Performance
Neural Adaptive Controller Applied to a VTOL Plant Using Takagi-Sugeno Fuzzy Model
A Novel Graphical Lasso Based Approach Towards Segmentation Analysis in Energy Game-Theoretic Frameworks
Byzantine Resilient Federated REINFORCE (GM-FedREINFORCE)
Discovering Clusters with Arbitrary Shapes and Densities in Data Streams
Unsupervised Learning and Image Classification in High Performance Computing Cluster
Speaker Identification in Medical Simulation Data Using Fisher Vector Representation
Towards Holistic Disease Risk Prediction using Small Language Models
Effective User Authentications Using Keystroke Dynamics Based on Feature Selections
Can Frequent Itemset Mining Be Efficiently and Effectively Used for Learning from Graph Data?
Rare Itemset Mining
Image Classification of Clogs in Direct Ink Write Additive Manufacturing
DeepSC-Edge: Scientific Corrosion Segmentation with Edge-Guided and Class-Balanced Losses
LASSO: a learning architecture for semantic web ontologies
Classification of Single-Lead Electrocardiograms: TDA Informed Machine Learning
Learning Visual Features for the Avatar Captcha Recognition Challenge
Reordering Genomic Sequences for Enhanced Classification via Compression Analytics
A music recommendation system with a dynamic k-means clustering algorithm
Machine Learning for Detecting Malware in PE Files
MPI-based Parallelization for ILP-based Multi-relational Concept Discovery
Finding Robust Texas Hold'em Poker Strategies Using Pareto Coevolution and Deterministic Crowding
Distributed Optimization Strategies for Mining on Peer-to-Peer Networks
Classification of EEG Signals Using Neural Networks to Predict Password Memorability
Clustering Distributed Short Time Series with Dense Patterns
Learning Input Driven Dynamic Bayesian Networks with Measurement Noise
Learning-Based Incremental Creation of Web Image Databases
Practical Active Learning with Model Selection for Small Data
Pixel-Level Feature Space Modeling and Brain Tumor Detection Using Machine Learning
Identifying IT Purchases Anomalies in the Brazilian Government Procurement System Using Deep Learning
Graph Wavenet+TimeGrad Probabilistic Model for High-Dimensional Time Series Prediction
DeepReject and DeepRoad: Road Condition Recognition and Classification Under Adversarial Conditions
Detection of SSH Brute Force Attacks Using Aggregated Netflow Data
Deep Learning and Pattern-based Methodology for Multivariable Sensor Data Regression
Arctic Sea Ice Extent Forecasting Using Support Vector Regression
Automatic Container Code Recognition via Spatial Transformer Networks and Connected Component Region Proposals
Multiple Kernel Learning Using Sparse Representation
Deep Learning Based Covert Attack Identification for Industrial Control Systems
Addressing Sample Efficiency and Model-bias in Model-based Reinforcement Learning
Multilabel Classification with Weighted Labels Using Learning Classifier Systems
Cost-Sensitive Classification Based on Bregman Divergences for Medical Diagnosis
Adversarial Attack Driven Data Augmentation for Time Series Classification
Efficacy of Nonlinear Manifold Learning in Malware Image Pattern Analysis
MIS-AVoiDD: Modality Invariant and Specific Representation for Audio-Visual Deepfake Detection
On the Performance Analysis of APIs Recognizing Emotions from Video Images of Facial Expressions
Deep Metric Learning for Code Authorship Attribution and Verification
Putting Self-Supervised Token Embedding on the Tables
Active Learning to Improve Static Analysis
Deep Learning Based Segmentation of Luria's Alternating Series Test to Support Diagnostics of Parkinson's Disease
Exploring Machine Learning Engineering for Object Detection and Tracking by Unmanned Aerial Vehicle (UAV)
Regularization Learning for Image Recognition
Speeding-up text categorization in a grid computing environment
Semantic Indexing-Based Data Augmentation for Filtering Undesired Short Text Messages
Cell Type Identification from Single-Cell Transcriptomic Data via Gene Embedding
Learning Task-independent Joint Control for Robotic Manipulators with Reinforcement Learning and Curriculum Learning
Application of Adaptive Artificial Neural Network Method to Model the Excitation Currents of Synchronous Motors
Towards Privacy Preserving Financial Fraud Detection
Deep Learning Based Inverse Modeling for Materials Design: From Microstructure and Property to Processing
Exploring Multi-Label Data Augmentation for LLM Fine-Tuning and Inference in Requirements Engineering: A Study with Domain Expert Evaluation
Two-Level Clustering towards Unsupervised Discovery of Acoustic Classes
Anomaly Prediction Based on k-Means Clustering for Memory-Constrained Embedded Devices
Towards Fast and Unified Transfer Learning Architectures for Sequence Labeling
Optimized Small-Scaled Hybrid Energy Management of a Smart House Based on Genetic Algorithm
Prediction of the Calcium and Magnesium Content in Soils through a Generalized Regression Neural Networks and Genetic Algorithms
Error Bounds for Online Predictions of Linear-Chain Conditional Random Fields: Application to Activity Recognition for Users of Rolling Walkers
Batch and Online Variational Learning of Hierarchical Pitman-Yor Mixtures of Multivariate Beta Distributions
Online Gaussian LDA for Unsupervised Pattern Mining from Utility Usage Data
Example-Dependent Cost-Sensitive Logistic Regression for Credit Scoring
Exploring Edge Machine Learning-based Stress Prediction using Wearable Devices
Emergent representations and reasoning in adaptive agents
Premature Ventricular Contraction Beat Detection with Deep Neural Networks
Fracture Estimation Based on Deformation History with Recurrent Neural Networks
Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem
Semi-Supervised Discriminative Transfer Learning in Cross-Language Text Classification
A Novel Approach for Synthetic Reduced Nearest-Neighbor Leveraging Neural Networks
Benchmarking Offline Reinforcement Learning
Clustering High-frequency Stock Data for Trading Volatility Analysis
Approach to Control of Hybrid Renewable Power System on the Basis of AE-Method Using Genetic Algorithm
Position Control of a DC Motor Used in Solar Panels with Artificial Neural Network
Unsupervised Anomaly Detection in Urban Water Networks U sing a Hierarchical Deep Learning Model
Probabilistic Graphical Models and Deep Belief Networks for Prognosis of Breast Cancer
Human Action Recognition Using Optical Flow and Convolutional Neural Networks
Reinforcement Learning Task Clustering
Restricted Boltzmann Machine for Nonlinear System Modeling
Automated Semantic Segmentation of Cardiac Magnetic Resonance Images with Deep Learning
Extraction of minimum decision algorithm using rough sets and genetic algorithms
Manifold clustering via energy minimization
Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery
Causal Inference for Personalized Treatment Effect Estimation for given Machine Learning Models
Reinforcement Learning Algorithms for Uncertain, Dynamic, Zero-Sum Games
Automated Scoring of the Level of Integrative Complexity from Text Using Machine Learning
Sentence Similarity Recognition in Portuguese from Multiple Embedding Models
Design and Implementation of an Automatic Object Recognition System Using Deep Learning and an Array of One-Class SVMs
Data-Driven Graph Construction of Power Flow Graphs for Electric Power Transmission Networks
Identification of Patterns via Region-Growing Parallel SOM Neural Network
GDSCAN: Pedestrian Group Detection using Dynamic Epsilon
The Effect of Communication on Noncooperative Multiplayer Multi-armed Bandit Problems
Spectral Wavelet Dropout: Regularization in the Wavelet Domain
Improving HSDPA Traffic Forecasting Using Ensemble of Neural Networks
Supervised Low Rank Matrix Approximation for Stable Feature Selection
Gradient-Based Algorithms for the Automatic Construction of Fuzzy Cognitive Maps
The Influence of Chord Duration Modeling on Chord and Local Key Extraction
Multiagent Based System for Secondary Education Using Machine Learning
Hyperparameters Search Methods for Machine Learning Linear Workflows
CFC-ATE: Causal Feature Construction via Average Treatment Effect
Evaluating the Uncertainty of a Bayesian Network Query Response by Using Joint Probability Distribution
Exploring the Impact of Clone Refactoring on Test Code Size in Object-Oriented Software
Temporal Rule-Based Counterfactual Explanations for Multivariate Time Series
Automated Machine Learning Based Triage for Decision Support in Clinical and Urgent Care
Causal Inference in Finance: An Expertise-Driven Model for Instrument Variables Identification and Interpretation
Predicting End-to-end Network Load
Improving Machine Learning Based Detection of Freezing of Gait Using Data Synthesis Methods
Object Detection Based on Multi-sensor Proposal Fusion in Maritime Environment
Feature Mapping and Fusion for Music Genre Classification
Exposition and Interpretation of the Topology of Neural Networks
Estimating the Effect of Structural Damage on the Flight by Using Machine Learning
Imitation from Observation using RL and Graph-based Representation of Demonstrations
A Bilevel Parameter Tuning Strategy of Partially Connected ANNs
Bayesian Nonparametric Inverse Reinforcement Learning for Switched Markov Decision Processes
Improving Noise Tolerance of Hardware Accelerated Artificial Neural Networks
On Natural Language Processing Applications for Military Dialect Classification
Building a Platform for Software-Defined Networking Cybersecurity Applications
BreakFast: Analyzing Celerity of News
Efficient Hiding of Collaborative Recommendation Association Rules with Updates
EnCoDe: Enhancing Compressed Deep Learning Models Through Feature - - - Distillation and Informative Sample Selection
Online Handwriting Recognition using LSTM on Microcontroller and IMU Sensors
Distance-Based Multivariate Anomaly Detection in Wire Arc Additive Manufacturing
Adaptively Evolving Probabilities of Genetic Operators
Evaluating Adversarial Attacks on Traffic Sign Classifiers Beyond Standard Baselines
On the Performance and Robustness of Linear Model U-Trees in Mimic Learning
Automatic Identification of Crisis-Related Sub-events Using Clustering
Prediction of Protein Structures Using GPU Based Simulated Annealing
Enhancing Allergy Prediction Accuracy Through Machine Learning and ProteinBERT
Emotion Recognition and Sentiment Classification using BERT with Data Augmentation and Emotion Lexicon Enrichment
A simultaneous two-level clustering algorithm for automatic model selection