• A Branch-and-Bound Approach to Efficient Classification and Retrieval of Documents
  • MAC: Multi-Scales Attention Cascade for Aerial Image Segmentation
  • Group Importance Estimation Method Based on Group LASSO Regression
  • Offline Text-Independent Arabic and Chinese Writer Identification Using a Multi-Segmentation Codebook-Based Strategy
  • Tab-VAE: A Novel VAE for Generating Synthetic Tabular Data
  • Achieving RGB-D Level Segmentation Performance from a Single ToF Camera
  • Small Patterns Detection in Historical Digitised Manuscripts Using Very Few Annotated Examples
  • Practical Deep Feature-Based Visual-Inertial Odometry
  • Efficient Use of Large Language Models for Analysis of Text Corpora
  • Noise Simulation for the Improvement of Training Deep Neural Network for Printer-Proof Steganography
  • Learned Fusion: 3D Object Detection Using Calibration-Free Transformer Feature Fusion
  • TenebrioVision: A Fully Annotated Dataset of Tenebrio Molitor Larvae Worms in a Controlled Environment for Accurate Small Object Detection and Segmentation
  • Impact of Using GAN Generated Synthetic Data for the Classification of Chemical Foam in Low Data Availability Environments
  • Benchmarking a Wide Range of Unsupervised Learning Methods for Detecting Anomaly in Blast Furnace
  • Improvement of Tensor Representation Label in Image Recognition: Evaluation on Selection, Complexity and Size
  • Leveraging VR and Force-Haptic Feedback for an Effective Training with Robots
  • QEBB: A Query-Efficient Black-Box Adversarial Attack on Video Recognition Models Based on Unsupervised Key Frame Selection
  • TrajViViT: A Trajectory Video Vision Transformer Network for Trajectory Forecasting
  • Fast Filtering for Similarity Search Using Conjunctive Enumeration of Sketches in Order of Hamming Distance
  • Enhancing the Readability of Palimpsests Using Generative Image Inpainting
  • FaceVision-GAN: A 3D Model Face Reconstruction Method from a Single Image Using GANs
  • On Spectrogram Analysis in a Multiple Classifier Fusion Framework for Power Grid Classification Using Electric Network Frequency
  • Cardiac Arrhythmia Detection in Electrocardiogram Signals with CNN-LSTM
  • Mobile Phone Identification from Recorded Speech Signals Using Non-Speech Segments and Universal Background Model Adaptation
  • Content Rating Classification in Fan Fiction Using Active Learning and Explainable Artificial Intelligence
  • Deep Learning, Feature Selection and Model Bias with Home Mortgage Loan Classification
  • Detection of Energy Drifts in Waste Water Treatment Plants Using Dynamic Clustering
  • Fetal Health Classification Using One-Dimensional Convolutional Neural Network
  • GENUINE: Genomic and Nucleus Information Embedding for Single Cell Genetic Alteration Classification in Microscopic Images
  • Path of Solutions for Fused Lasso Problems
  • Self-Supervised-Based Multimodal Fusion for Active Biometric Verification on Mobile Devices
  • Integrating Structure and Sequence: Protein Graph Embeddings via GNNs and LLMs
  • Applying the Neural Bellman-Ford Model to the Single Source Shortest Path Problem
  • Face Blending Data Augmentation for Enhancing Deep Classification
  • Determination of Factors of Interest in Bone Models Based on Ultrasonic Data
  • CLIP: Assisted Video Anomaly Detection
  • Semantic and Horizon-Based Feature Matching for Optimal Deep Visual Place Recognition in Waterborne Domains
  • Directional Filter for Tree Ring Detection
  • CaRaCTO: Robust Camera-Radar Extrinsic Calibration with Triple Constraint Optimization
  • PatchSVD: A Non-Uniform SVD-Based Image Compression Algorithm
  • Generative Data Augmentation for Few-Shot Domain Adaptation
  • Let Me Take a Better Look: Towards Video-Based Age Estimation
  • Military Badge Detection and Classification Algorithm for Automatic Processing of Documents
  • Impute Water Temperature in the Swiss River Network Using LSTMs
  • Robust 3D Point Cloud Registration Exploiting Unique LiDAR Scanning Pattern
  • Study of an Expansion Method Based on an Image-Specific Classifier and Multi-Features for Weakly Supervised Semantic Segmentation
  • Detecting Manuscript Annotations in Historical Print: Negative Evidence and Evaluation Metrics
  • Intrusion Detection at Railway Tunnel Entrances Using Dynamic Vision Sensors
  • Homomorphic Encryption Friendly Multi-GAT for Information Extraction in Business Documents
  • ShapeAug: Occlusion Augmentation for Event Camera Data
  • Linux Configuration Tuning: Is Having a Large Dataset Enough?
  • Counterfactual-Based Feature Importance for Explainable Regression of Manufacturing Production Quality Measure
  • AirEyeSeg: Teacher-Student Insights into Robust Fisheye UAV Detection
  • Discrimination of Signals from Large Covariance Matrix for Pattern Recognition
  • Large Age Gap Face Verification by Learning GAN Synthesized Prototype Representations
  • An Evaluation of General-Purpose Optical Character Recognizers and Digit Detectors for Race Bib Number Recognition
  • Quantification of Matching Results for Autofluorescence Intensity Images and Histology Images
  • Classifying Soccer Ball-on-Goal Position Through Kicker Shooting Action
  • Detecting Overgrown Plant Species Occluding Other Species in Complex Vegetation in Agricultural Fields Based on Temporal Changes in RGB Images and Deep Learning
  • Modeling Batch Tasks Using Recurrent Neural Networks in Co-Located Alibaba Workloads
  • Crossing Domain Borders with Federated Few-Shot Adaptation
  • Parallel Tree Kernel Computation
  • Identifying Indian Cattle Behaviour Using Acoustic Biomarkers
  • Swap-Deep Neural Network: Incremental Inference and Learning for Embedded Systems
  • Speech Recognition for Indigenous Language Using Self-Supervised Learning and Natural Language Processing
  • Person Detection and Geolocation Estimation in UAV Aerial Images: An Experimental Approach
  • Instance Selection Framework for Alzheimer’s Disease Classification Using Multiple Regions of Interest and Atlas Integration
  • Incremental Whole Plate ALPR Under Data Availability Constraints
  • Neuromorphic Encoding / Reconstruction of Images Represented by Poisson Counts
  • Information Retrieval Chatbot on Military Policies and Standards
  • Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution Networks
  • Vision Transformer Interpretability via Prediction of Image Reflected Relevance Among Tokens
  • Enhancing Surgical Visualization: Feasibility Study on GAN-Based Image Generation for Post Operative Cleft Palate Images
  • Experimental Application of Semantic Segmentation Models Fine-Tuned with Synthesized Document Images to Text Line Segmentation in a Handwritten Japanese Historical Document
  • Mitigating Outlier Activations in Low-Precision Fine-Tuning of Language Models
  • Towards Self-Adaptive Resilient Swarms Using Multi-Agent Reinforcement Learning
  • Visualization of the Basis for Decisions by Selecting Layers Based on Model's Predictions Using the Difference Between Two Networks
  • Information Theoretic Deductions Using Machine Learning with an Application in Sociology
  • YOLOv7E: An Attention-Based Improved YOLOv7 for the Detection of Unmanned Aerial Vehicles
  • Enhanced Segmentation of Deformed Waste Objects in Cluttered Environments
  • Improvement of TransUNet Using Word Patches Created from Different Dataset
  • An Algorithmic Approach for Quantitative Motion Artefact Grading in HRpQCT Medical Imaging
  • Efficient Solver Scheduling and Selection for Satisfiability Modulo Theories (SMT) Problems
  • Performance Evaluation of the Electrical Appliances Identification System Using the PLAID Database in Independent Mode of House
  • Comparison of Dimension Reduction Methods for Multivariate Time Series Pattern Recognition
  • Fuel Classification in Electronic Tax Documents
  • Surface Extraction in Coherence Scanning Interferometry by Gauss-Markov Monte-Carlo Method and Teager-Kaiser Operator
  • A Mutual Information Based Discretization-Selection Technique
  • Sample Size Estimation of Transfer Learning for Colorectal Cancer Detection
  • A Post-Processing Strategy for Association Rules in Knowledge Discovery
  • Towards Small Anomaly Detection
  • XPCA Gen: Extended PCA Based Tabular Data Generation Model
  • Classification Performance Boosting for Interpolation Kernel Machines by Training Set Pruning Using Genetic Algorithm
  • Predicting the MGMT Promoter Methylation Status in T2-FLAIR Magnetic Resonance Imaging Scans Using Machine Learning
  • Semantic Properties of Cosine Based Bias Scores for Word Embeddings
  • An Improved VGG16 Model Based on Complex Invariant Descriptors for Medical Images Classification
  • A Novel Keystroke Dataset for Preventing Advanced Persistent Threats
  • On Function of the Cortical Column and Its Significance for Machine Learning
  • Relevant Multi Domain Features Selection Based on Mutual Information for Heart Sound Classification
  • Enhancing Railway Safety: An Unsupervised Approach for Detecting Missing Bolts with Deep Learning and 3D Imaging
  • Sign Language Recognition Based on Subspace Representations in the Spatio-Temporal Frequency Domain
  • Handwriting Detection Test (HWDT): Android Application for the Recognition of Neurodegenerative Diseases
  • A Federated Learning System with Biometric Medical Image Authentication for Alzheimer's Diagnosis
  • Human Activity Recognition for Identifying Bullying and Cyberbullying: A Comparative Analysis Between Users Under and over 18 Years Old
  • Unveiling the Power of EEG Signals: Parkinson's Disease Identification via Yet Another Mobile Network (YAMNet)
  • Detecting Brain Tumors Through Multimodal Neural Networks
  • Filtered Random Hybrid Strokes (Frhs): Filtering Time-Series Considerding Velocity Profile
  • Surface EMG Signal Segmentation and Classification for Parkinson’s Disease Based on HMM Modelling
  • Towards Better Motif Detection: Comparative Analysis of Several Symbolic Methods
  • Letting Go of the Numbers: Measuring AI Trustworthiness
  • Double Trouble? Impact and Detection of Duplicates in Face Image Datasets
  • Evaluation of K-Means Time Series Clustering Based on Z-Normalization and NP-Free
  • Anomaly Detection Methods for Finding Technosignatures