yusuke1997/dblp-id-title huggingface dataset:
The tenth annual MLSP competition: Schizophrenia classification challenge
An Improved Diracnet Convolutional Neural Network for Haze Visibility Detection
Kalman Filter Changepoint Detection and Trend Characterization
Convolutional Dense Neural Network Based Spirometry Variable FVC Prediction Using Sustained Phonations
A robotic mobility diversity algorithm with Markovian trajectory planners
Double JPEG Compression Detection for Distinguishable Blocks in Images Compressed with Same Quantization Matrix
Neural network alternatives toconvolutive audio models for source separation
Acoustic Scene Classification: a Competition Review
Structured sparsity using backwards elimination for Automatic Music Transcription
The eighth annual MLSP competition: Overview
Dictionary extraction from a collection of spectrograms for bioacoustics monitoring
A practical test set bound for rank learning
Interpretable Online Banking Fraud Detection Based On Hierarchical Attention Mechanism
NAaLOSS: Rethinking the Objective of Speech Enhancement
Hyphylearn: A Domain Adaptation-Inspired Approach to Classification Using Limited Number of Training Samples
An Alternating Algorithm for Neural Collapse in Deep Classifier Neural Network with Arbitrary Number of Classes
Underwater target classification using a pose-invariant matched manifold classifier
Semi-supervised hierarchy learning using multiple-labeled data
Learning smooth models of nonsmooth functions via convex optimization
Learning Warm-Start Points For Ac Optimal Power Flow
A non-negative multilinear block tensor decomposition approach to flow cytometry data analysis
Unseen Speaker and Language Adaptation for Lightweight Text-to-Speech with Adapters
Post-Hoc Explainability of BI-RADS Descriptors in a Multi-Task Framework for Breast Cancer Detection and Segmentation
A Probabilistic Semi-Supervised Approach with Triplet Markov Chains
Transformation invariant sparse coding
A Hybrid Interior Point - Deep Learning Approach for Poisson Image Deblurring
The Distributed Fusion Filtering Problem Of Tessarine Signals From Multisensor Observations Affected With Packet Dropouts
Click Fraud Detection: HK-Index for Feature Extraction from Variable-Length Time Series of User Behavior
Source number estimation based on clustering of speech activity sequences for microphone array processing
Improved Activation Clipping for Universal Backdoor Mitigation and Test-Time Detection
EV-GS: Event-Based Gaussian Splatting for Efficient and Accurate Radiance Field Rendering
Unsupervised Seizure Detection in Eeg Using Long Short Term Memory Network and Clustering
Seizure Prediction Using EEG Channel Selection Method
Automated Pronunciation Scoring of Child L2 Learners with Score Calibration for Imbalanced Distributions
Spatial Encoding of EEG Brain Wave Signals to Predict Student's Mental State During E-Learning
Greedy Salient Dictionary Learning with Optimal Point Reconstruction for Activity video Summarization
Modeling speech parameter sequences with latent trajectory Hidden Markov model
Distributed Stable Outlier-Robust Signal Recovery using Minimax Concave Loss
Accelerometer based gesture recognition system using distance metric learning for nearest neighbour classification
A General Framework for Ensemble Distribution Distillation
Content-Based Recommendation Using Machine Learning
Speech Emotion Recognition Using Cyclostationary Spectral Analysis
A Hybrid Model Integrating LSTM and Garch for Bitcoin Price Prediction
Audio-Visual Fusion And Conditioning With Neural Networks For Event Recognition
Independent low-rank matrix analysis based on complex student's t-distribution for blind audio source separation
Mahalanobis distance on Grassmann manifold and its application to brain signal processing
A Weighted Loss Function to Predict Control Parameters for Supercontinuum Generation Via Neural Networks
Counting Triangles of Graphs via Matrix Partitioning
Texton-based diagnosis of Alzheimer's disease
Efficient and distributed tracking of evolving state
A constrained approach for extraction of pre-ictal discharges from scalp EEG
Noise-Tolerant Self-Embedded LSTM for Seismic Event Classification
Probabilistic group dependence approach for discovering overlapping clusters
Diffusion Field Estimation Using Decentralized Kernel Kalman Filter with Parameter Learning Over Hierarchical Sensor Networks
Graph-Regularized Fast Low-Rank Matrix Approximation Using The NystrÖM Method for Clustering
DEEP Reinforcement Learning Based Energy Beamforming for Powering Sensor Networks
A discriminative unsupervised method for speaker recognition using deep learning
Dual Quaternion Rotational and Translational Equivariance in 3D Rigid Motion Modelling
Conditional Sound Generation Using Neural Discrete Time-Frequency Representation Learning
Prediction of respiratory motion using wavelet based support vector regression
35th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2025, Istanbul, Turkey, August 31 - Sept. 3, 2025
Source Identification for Exosomal Communication via Protein Language Models
Learning incoherent subspaces for classification via supervised iterative projections and rotations
Performance analysis of surrogate supervision multi-view learning linear classifiers in Gaussian data
Ensembles of Informative Representations for Self-Supervised Learning
Investigating Brain Connectivity and Regional Statistics from EEG for Early Stage Parkinson's Classification
AdvRevGAN: On Reversible Universal Adversarial Attacks for Privacy Protection Applications
Convex combinations of kernel adaptive filters
Photoconsistent and Trajectory Guided Novel-View Synthesis Tool for UAV Cinematography Based on Autoregressive Transformers
Detection of Manatee Vocalisations Using the Audio Spectrogram Transformer
Breast ultrasound images gland segmentation
Extending NMF to blindly separate linear-quadratic mixtures of uncorrelated sources
Multi-Objective contextual bandits with a dominant objective
Adversarial Attacks on Multi-Level Fault Detection and Diagnosis Systems
View it Like a Radiologist: Shifted Windows for Deep Learning Augmentation Of CT Images
Model-order Selection in Statistical Shape Models
Non-Linearities in Gaussian Processes with Integral Observations
Optimal Subband Adaptive Filtering Algorithm Over Functional Link Neural Network
Learning approximate neural estimators for wireless channel state information
Visualizing High Dimensional Dynamical Processes
Non-negative Tensor Factorization for single-channel EEG artifact rejection
Perturbation-Based Multiview Graph Learning with Consensus Graph
The 10th annual MLSP competition: First place
Autosomal dominant nocturnal frontal lobe epilepsy seizure characterization through wavelet transform of eeg records and self organizing maps
Parametric validity index of clustering for microarray gene expression data
Two-Way Spectrum Pursuit for CUR Decomposition and its Application in Joint Column/Row Subset Selection
Stream-Based Active Learning with Adaptive Uncertainty and Diversity Thresholds
Evaluation of Complexity Measures for Deep Learning Generalization in Medical Image Analysis
Semantic-Aware Image Compression Architecture for Semantic Communication
Collaborative Learning for Less Online Retraining of Neural Receivers
Locswinunet: A Neural Network for Urban Wireless Localization Using TOA and RSS Radio Maps
Multimodal Graph Coarsening for Interpretable, MRI-Based Brain Graph Neural Network
Variance reduction for optimization in speech recognition
Aerial Spectrum Surveying: Radio Map Estimation with Autonomous UAVs
Adaptive Convex Combination of Kernel Maximum Correntropy Criterion
EEG-Based Texture Classification During Active Touch
Informed separation of spatial images of stereo music recordings using second-order statistics
Binary independent component analysis: Theory, bounds and algorithms
Generalizable Supervised Manifold Learning via Lipschitz continuous interpolators
Input Conditioned Layer Dropping in Speech Foundation Models
Diffusion estimation of state-space models: Bayesian formulation
Image segmentation via manifold spectral clustering
A Constrained Linearly Involved Generalized Moreau Enhanced Model and Its Proximal Splitting Algorithm
Bounded Gaussian process regression
Efficient Capon-Based Approach Exploiting Temporal Windowing for Electric Network Frequency Estimation
Analysing Replay Spoofing Countermeasure Performance under varied conditions
Extraction of sparse spatial filters using Oscillating Search
Scalable transformed additive signal decomposition by non-conjugate Gaussian process inference
Sustainable Edge Intelligence Through Energy-Aware Early Exiting
33rd IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2023, Rome, Italy, September 17-20, 2023
Adversarial nets with perceptual losses for text-to-image synthesis
Mixture weight influence on kernel entropy component analysis and semi-supervised learning using the Lasso
The Sampling-Assisted Pathloss Radio Map Prediction Competition
The Ninth Annual MLSP Competition: First place
Towards dictionary learning from images with non Gaussian noise
Parametric speech synthesis using local and global sparse Gaussian processes
Is That Me? Using Speaker Identity to Detect Fake Speech
Self-Attention for Audio Super-Resolution
Unrolled Deep Networks for Sparse Signal Restoration in Analytical Chemistry
Robust Hybrid Beamforming With Quantized Deep Neural Networks
On-Line Bayesian parameter estimation in electrocardiogram State Space Models
Local distance metric learning for efficient conformal predictors
Estimation of the forgetting factor in kernel recursive least squares
Hypercube-S4GNN: A Multi-Edge Graph Approach Using State Space Models on Multivariate EEG for Seizure Detection
Adversarial Attacks on Hierarchical Composite Classifiers VIA Convex Programming
Calibration Methods for Alzheimer Disease Detection
A Dictionary-Learning Sparse Representation framework for pose classification
Kernel nonnegative matrix factorization without the pre-image problem
Random subspace method for source camera identification
Tree-structured expectation propagation for LDPC decoding over the AWGN channel
Inferring social contexts from audio recordings using deep neural networks
Efficient recalibration via Dynamic Matrix Completion
Robust informed split gradient NMF using αβ-divergence for source apportionment
Event-Triggered Quantized Kernel Least Mean Square Algorithm
Amortized Variational Peak Fitting For Spectroscopic Data
Search free algorithms for DOA estimation of quasi-stationary signals
Improved Vocal Effort Transfer Vector Estimation For Vocal Effort-Robust Speaker Verification
Accelerating Nonnegative Matrix Factorization Over Polynomial Signals With Faster Projections
Tradeoffs for task parallelization in distributed optimization
Noise reduction in low-dose ct using a 3D multiscale sparse denoising autoencoder
Radio Map Prediction via Neural Networks with Ground Truth Shortcuts and Selective Sampling
Multimodal Artwork Topic Modeling via Fine-Tuned Clip and Knowledge-Driven Prompts
Limes-SVM: A Robust Classification Approach Bridging Soft-Margin and Hard-Margin SVMS
Deep Convolutional Compression For Massive MIMO CSI Feedback
Controlling blood glucose Levels in patients with Type 1 Diabetes using fitted Q-iterations and Functional Features
Reliable Belief Propagation: Recent Theoretical and Practical Advances
Semi-Blind speech enhancement basedon recurrent neural network for source separation and dereverberation
The Ninth Annual MLSP Data Competition
Component-Wise Squared Factorization
L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing
Generalization Bounds for Domain Adaptation via Domain Transformations
An online learning approach to throughput optimization in wireless networks under dynamic and unknown interference conditions
Memory reduction method for deep neural network training
Toward Sustainable Continual Learning: Detection and Knowledge Repurposing for Reoccurring Tasks
Compact kernel classifiers trained with minimum classification error criterion
A Neural Network-Aided Viterbi Receiver for Joint Equalization and Decoding
Artificial ASMR: A Cyber-Psychological Approach
From Aesthetics to Human Preferences: Comparative Perspectives of Evaluating Text-to-Music Systems
Online Topology Identification of Higher-Order Cell Structures
Machine Learning as Digital Therapy Assessment for Mobile Gait Rehabilitation
Cooperative data censoring for energy-efficient communications in Sensor Networks
Visualizing and improving scattering networks
Tackling Distribution Shift in LLM via KILO: Knowledge-Instructed Learning for Continual Adaptation
Single-channel EEG Classification by Multi-channel Tensor subspace Learning and Regression
Macau: Scalable Bayesian factorization with high-dimensional side information using MCMC
RESTAD: Reconstruction and Similarity Based Transformer for Time Series Anomaly Detection
On the Adversarial Robustness of Feature Selection Using LASSO
Kalman smoothing with persistent nuisance parameters
Hypergraph Overlapping Community Detection for Brain Networks
Robust Feature Selection With Weight Cost Maximin Optimization
Uncertainty Quantification for Motor Imagery BCI - Machine Learning vs. Deep Learning
Detecting clusters of anomalies on low-dimensional feature subsets with application to network traffic flow data
Blind separation of convolutive mixtures over Galois fields
A proximal method for the K-SVD dictionary learning
Difference-of-Convex optimization for variational kl-corrected inference in dirichlet process mixtures
Mutual singular spectrum analysis for bioacoustics classification
Robust extreme learning machine for regression problems with its application to wifi based indoor positioning system
Object Detection in SAR Via Generative Knowledge Transfer
Hierarchical theme and topic model for summarization
Compressive Classification from Single Pixel Measurements Via Deep Learning
Floor Map Reconstruction Through Radio Sensing and Learning by a Large Intelligent Surface
Transient analysis of convexly constrained mixture methods
The Kernel Maximal Correlation Filter
Distributed Variational Information Bottleneck for IOT Environments
Deep Reinforcement Learning With Action Masking for Differential-Drive Robot Navigation Using Low-Cost Sensors
Collaborative Inference Of Missing Smart Electric Meter Data For A Building
A Multitask Learning Approach For Sound Source Tracking With Icosahedral Convolutional Neural Networks
Outlier-aware dictionary learning for sparse representation
Recognizing Activities from Egocentric Images with Appearance and Motion Features
Statistical embeddings using a multilayer union of subspaces
Improving sparse echo cancellation via convex combination of two NLMS filters with different lengths
Self-Supervised Learning at the Edge: The Cost of Labeling
Supportive Attention in End-To-End Memory Networks
Coupled Tensor Factorization for Flow Cytometry Data Analysis
A practical approach for depth estimation and image restoration using defocus cue
Heterogeneous Tensor Domain Adaptation
Post-Inference Guided Transformer for Anomaly Interval Localization in Multivariate Time Series
Specrank: Ranking by Pairwise Comparisons from Specialty Workers in a Crowdsourced Setting
Low-Resource Language Identification From Speech Using Transfer Learning
Toward a brain interface for tracking attended auditory sources
A fully convolutional deep auditory model for musical chord recognition
Bound constrained weighted NMF for industrial source apportionment
DDL: A Dataset for Drone Detection and Localization From Multi-Channel Audio and a Deep Uncertainty-Aware Framework
ABSOLUTENET: A Deep Learning Neural Network to Classify Cerebral Hemodynamic Responses of Auditory Processing
Low-Complexity Streaming Speech Super-Resolution
Using Bayesian classifiers for low complexity multiview H.264/AVC and HEVC hybrid architecture
An adaptive decoder from spike trains to micro-stimulation using kernel least-mean-squares (KLMS)
DECIFRA: Deep Extraction of Causally Informed Features via Restricted Architecture
Correntropy induced metric based common spatial patterns
Benchmarking Transfer Learning in Passive Sonar: An Evaluation Study
Efficient optimization for data visualization as an information retrieval task
Constraints-Aware Trainable Pruning With System Optimization For The On-Demand Offloading Edge-Cloud Collaborative System
Exploiting graph embedding in support vector machines
Ordinal embedding of unweighted kNN graphs via synchronization
Compact and robust fisher descriptors for large-scale image retrieval
A model based approach to exploration of continuous-state MDPs using Divergence-to-Go
Improved Variance Predictions in Approximate Message Passing
Comprehensive analysis of multiple microarray datasets by binarization of consensus partition matrix
Single channel source separation using smooth Nonnegative Matrix Factorization with Markov Random Fields
FPGA prototype of machine learning analog-to-feature converter for event-based succinct representation of signals
Learning of scanning strategies for electronic support using predictive state representations
Generic Bounds On The Maximum Deviations In Sequential Prediction: An Information-Theoretic Analysis
Bayesian Two-Stage Sequential Change Diagnosis Via Multi-Sensor Array
Lightweight Image Inpainting By Stripe Window Transformer With Joint Attention To CNN
Object classification with convolution neural network based on the time-frequency representation of their echo
Investigating Passive Filter Pruning for Efficient CNN-Transformer Audio Captioning
An efficient multi-resolution SVM network approach for object detection in aerial images
Simple Deep Learning Network via Tensor-Train Haar-wavelet Decomposition without Retraining
Experiments in combining boosting and deep stacked networks
Frame-Level Proximity and touch Recognition using capacitive Sensing and Semi-Supervised Sequential Modeling
Exact SVM training by Wolfe's minimum norm point algorithm
A novel delta check method for detecting laboratory errors
Discriminating bipolar disorder from major depression based on kernel SVM using functional independent components
Characterization of diabetic peripheral neuropathy in infrared video sequences using independent component analysis
A $\mathbb{T} -\text{Proper}$ Karhunen-Loeve Expansion and its Application to the Problem of Simulation
Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in Deep Generative Models for Molecular Design
On NUP Priors and Gaussian Message Passing
On the Adversarial Robustness of Linear Regression
Valkyrie: Behavioral malware detection using global kernel-level telemetry data
Assessing the Capabilities of Large Brainwave Foundation Models
Modeling Human Responses by Ordinal Archetypal Analysis
Infinite multiple membership relational modeling for complex networks
Collaborative Kalman filters for vehicle tracking
Dictionary learning for pitch estimation in speech signals
Colflor: Towards Bert-Size Vision-Language Document Retrieval Models
Mean vector component analysis: A new approach to un-centered PCA for non-negative data
Online joint classification and anomaly detection via sparse coding
SiamNet: Siamese CNN Based Similarity Model for Adversarially Generated Environmental Sounds
A Robustness Measure for Neural Networks
Adversarial Training for the Adversarial Robustness of EEG-Based Brain-Computer Interfaces
Spontaneous facial expression recognition by using feature-level fusion of visible and thermal infrared images
Kernelizing Geweke's measures of granger causality
Progressive clustering of manifold-modeled data based on tangent space variations
Shapley-Based Data Valuation with Mutual Information: A Key to Modified K-Nearest Neighbors
Closing the Gap in Multimodal Medical Representation Alignment
Comparison of End-to-End Speech Assessment Models for the NOCASA 2025 Challenge
Dynamic System Identification For Guidance Of Stimulation Parameters In Haptic Simulation Environments
End-to-End learning of cost-volume aggregation for real-time dense stereo
Hepatic Vessel Segmentation and Classification in CTA Images Using nnU-Net with Centerline Regression
Semi-supervised color decomposition for histopathological images using exclusive component analysis
A stable spline convex approach to hybrid systems identification
Vae/Wgan-Based Image Representation Learning For Pose-Preserving Seamless Identity Replacement In Facial Images
Model-Agnostic Uncertainty Calibration for Noisy Constraint Modeling in Bainitic Steel Optimization
Efficient preference learning with pairwise continuous observations and Gaussian Processes
A Time-Aware Tensor Decomposition for Tracking Evolving Patterns
Hierarchical Graph Neural Nets can Capture Long-Range Interactions
Fixing Bias in Reconstruction-Based Anomaly Detection with Lipschitz Discriminators
Generating Synthetic Face Recognition Datasets Using Brownian Identity Diffusion and a Foundation Model
Integrating Visible Light for Enhanced Thermal Imaging: Parameterized Scene-Based Non-Uniformity Correction
Multi-Contrast MRI Image Translation via Pathology-Aware Generative Adversarial Networks
Motion Pattern Recognition in 4D Point Clouds
A block-based combined scheme exploiting sparsity in nonlinear acoustic echo cancellation
Efficient Parameter Estimation For Semi-Continuous Data: An Application To Independent Component Analysis
Doubly sparse structure in image super resolution
Memory augmented neural network for source separation
Greedy Online Change Point Detection
Sparse model learning for high dimensional diffusion MRI data in traumatic brain injury
A recurrent encoder-decoder approach with skip-filtering connections for monaural singing voice separation
Desketching of R-Separable Matrices From Compressive Linear Measurements
Block-Term Tensor Decomposition Via Constrained Matrix Factorization
Nonparametric Bayesian inference on environmental waters chromatographic profiles
Gaussian multiple kernel learning with entropy power inequality
Semi-Supervised Audio-Visual Action Recognition with Audio Source Localization Guided Mixup
Fine Grained Few-Shot Classification with Contrastive Clues
Effective Adaptation into New Environment with Few Shots: Applications to OFDM Receiver Design
An adaptive encryption based genetic algorithms for medical images
Demem: Privacy-Enhanced Robust Adversarial Learning via De-Memorization
Negative Binomial Matrix Completion
Fast sampling from a Hidden Markov Model posterior for large data
Learning Local Higher-Order Interactions with Total Correlation
Acoustic scene analysis based on latent acoustic topic and event allocation
Sparse topic models by parameter sharing
Multi-modal label propagation based on a higher order similarity matrix
Unsupervised segmentation of task activated regions in fMRI
Collision-Free UAV Navigation with a Monocular Camera Using Deep Reinforcement Learning
Subject Invariant Contrastive Learning for Human Activity Recognition
Decentralized Stochastic Projection-Free Learning with Compressed Push-Sum
Landmine detection with Multiple Instance Hidden Markov Models
Projection predictive model selection for Gaussian processes
Improving speech recognition using limited accent diverse British English training data with deep neural networks
Sparsification of Deep Neural Networks via Ternary Quantization
Blocked Gibbs sampling based multi-scale mixture model for speaker clustering on noisy data
Classifier-based affinities for clustering sets of vectors
RT-ST-GCN: Enabling Realtime Continual Inference at the Edge
Multi-parametric solution-path algorithm for instance-weighted support vector machines
Complex-valued analysis and visualization of fMRI data for event-related and block-design paradigms
Model-Free Learning of Optimal Deterministic Resource Allocations in Wireless Systems via Action-Space Exploration
AH-CoLT: an AI-Human Co-Labeling Toolbox to Augment Efficient Groundtruth Generation
Improving Deep Reinforcement Learning for Financial Trading Using Deep Adaptive Group-Based Normalization
Learning and storing the parts of objects: IMF
Predicting individualized intelligence quotient scores using brainnetome-atlas based functional connectivity
MPRDiff: Mixed Precision Restorative Diffusion Model with Incoherence Processing