yusuke1997/dblp-id-title huggingface dataset:
Hardware-efficient learning of quantum many-body states
Topology-inspired Cross-domain Network for Developmental Cervical Stenosis Quantification
Deep Learning Pipeline for Fully Automated Myocardial Infarct Segmentation from Clinical Cardiac MR Scans
Energy mu-Calculus: Symbolic Fixed-Point Algorithms for omega-Regular Energy Games
Attention-Guided Lidar Segmentation and Odometry Using Image-to-Point Cloud Saliency Transfer
The Guidebook, the Friend, and the Room: Visitor Experience in a Historic House
Multimodal Hate Detection Using Dual-Stream Graph Neural Networks
An hp -adaptive discontinuous Galerkin discretization of a static anti-plane shear crack model
Transferring Chemical and Energetic Knowledge Between Molecular Systems with Machine Learning
ShanshuiDaDA: An Interactive, Generative System towards Chinese Shanshui Painting
Adaptive Graph via Multiple Kernel Learning for Nonnegative Matrix Factorization
A Pre-training Framework for Relational Data with Information-theoretic Principles
Fast Iterative Solver For Neural Network Method: II. 1D Diffusion-Reaction Problems And Data Fitting
Low Precision RNNs: Quantizing RNNs Without Losing Accuracy
Integrated Eojeol Embedding for Erroneous Sentence Classification in Korean Chatbots
Equation satisfiability in solvable groups
Manipulation Strategies for the Rank Maximal Matching Problem
Model-based Neural Data Augmentation for sub-wavelength Radio Localization
Multi Kernel Estimation based Object Segmentation
Multimodal Interfaces for Effective Teleoperation
Stability is Stable: Connections between Replicability, Privacy, and Adaptive Generalization
Towards Robust Stacked Capsule Autoencoder with Hybrid Adversarial Training
Predictive Capability Maturity Quantification using Bayesian Network
Robust Locality-Aware Regression for Labeled Data Classification
Learning Better Sentence Representation with Syntax Information
Guiding GANs: How to control non-conditional pre-trained GANs for conditional image generation
ExactDreamer: High-Fidelity Text-to-3D Content Creation via Exact Score Matching
CAE: Repurposing the Critic as an Explorer in Deep Reinforcement Learning
Solvent: A Framework for Protein Folding
Efficient and Near-Optimal Noisy Group Testing: An Information-Theoretic Framework
Deep Learning Advances on Different 3D Data Representations: A Survey
OkayPlan: Obstacle Kinematics Augmented Dynamic Real-time Path Planning via Particle Swarm Optimization
BERTERS: Multimodal Representation Learning for Expert Recommendation System with Transformer
Flow Time Scheduling and Prefix Beck-Fiala
Efficiency of Coordinate Descent Methods For Structured Nonconvex Optimization
Cybernetic Health
Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A Look at Link Prediction, Rule Learning, and Downstream Polypharmacy Tasks
Frequency of occurrence of numbers in the World Wide Web
uOttawa at LegalLens-2024: Transformer-based Classification Experiments
SIM-CoT: Supervised Implicit Chain-of-Thought
Real Time Captioning of Sign Language Gestures in Video Meetings
Assessing Large Language Models for Online Extremism Research: Identification, Explanation, and New Knowledge
Vectorized Sequence-Based Chunking for Data Deduplication
A Survey on Semi-parametric Machine Learning Technique for Time Series Forecasting
Eavesdropping on Electronic Guidebooks: Observing Learning Resources in Shared Listening Environments
Simplifying the explanation of deep neural networks with sufficient and necessary feature-sets: case of text classification
LLM4SecHW: Leveraging Domain Specific Large Language Model for Hardware Debugging
Co-speech gestures for human-robot collaboration
Simulations suggest that social and natural sciences differ in their research strategies adapted to work for different knowledge landscapes
Large-scale weakly supervised audio classification using gated convolutional neural network
Exploring the Representational Power of Graph Autoencoder
PersuasiveToM: A Benchmark for Evaluating Machine Theory of Mind in Persuasive Dialogues
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing
Softmax Dissection: Towards Understanding Intra- and Inter-clas Objective for Embedding Learning
OpenSUN3D: 1st Workshop Challenge on Open-Vocabulary 3D Scene Understanding
Information-Based Model Discrimination for Digital Twin Behavioral Matching
RGM: A Robust Generalist Matching Model
Voronoi cell analysis: The shapes of particle systems
CATMark: A Context-Aware Thresholding Framework for Robust Cross-Task Watermarking in Large Language Models
Segmented Harmonic Loss: Handling Class-Imbalanced Multi-Label Clinical Data for Medical Coding with Large Language Models
What exactly are the properties of scale-free and other networks?
A Simple Mathematical Model of Politics (I)
Closed-Form Full Map Posteriors for Robot Localization with Lidar Sensors
π-augmented pregroups and applications to linguistics
Iterative pushdown automata and hyperbolic contour words
Enabling Down Syndrome Research through a Knowledge Graph-Driven Analytical Framework
Does Homophily Make Socialbots More Influential? Exploring Infiltration Strategies
Context unification is in PSPACE
Multiple routes transmitted epidemics on multiplex networks
NetReAct: Interactive Learning for Network Summarization
Automated segmentaiton and classification of arterioles and venules using Cascading Dilated Convolutional Neural Networks
Marketplace for AI Models
Detection of Disengagement from Voluntary Quizzes: An Explainable Machine Learning Approach in Higher Distance Education
iBreath: Usage Of Breathing Gestures as Means of Interactions
Energy stable arbitrary order ETD-MS method for gradient flows with Lipschitz nonlinearity
Selection Improvements for the Parallel Iterative Algorithm for Stable Matching
Calibration of Time-Series Forecasting Transformers: Detecting and Adapting Context-Driven Distribution Shift
A Provably Secure Network Protocol for Private Communication with Analysis and Tracing Resistance
How Does Overparameterization Affect Features?
Robotic modeling of snake traversing large, smooth obstacles reveals stability benefits of body compliance
Semisupervised Adversarial Neural Networks for Cyber Security Transfer Learning
Deep Policy Gradient Methods in Commodity Markets
Low-latency auditory spatial attention detection based on spectro-spatial features from EEG
MCP2OSC: Parametric Control by Natural Language
An Effective GCN-based Hierarchical Multi-label classification for Protein Function Prediction
Distributed Computation of Exact Average Degree and Network Size in Finite Number of Steps under Quantized Communication
Replica Analysis of the Linear Model with Markov or Hidden Markov Signal Priors
BSRone: Binary Search with Routing of O(1); A Scalable Circular Design for Distributed Networks
Exact Label Recovery in Euclidean Random Graphs
Verifying Graph Algorithms in Separation Logic: A Case for an Algebraic Approach (Extended Version)
Healthy Twitter discussions? Time will tell
Modern Summation Methods for Loop Integrals in Quantum Field Theory: The Packages Sigma, EvaluateMultiSums and SumProduction
An Ontology for Representing Curriculum and Learning Material
Optimally scheduling public safety power shutoffs
Impact of Energy Efficiency on the Morphology and Behaviour of Evolved Robots
The Price of Thought: A Multilingual Analysis of Reasoning, Performance, and Cost of Negotiation in Large Language Models
Syn2Real Transfer Learning for Image Deraining using Gaussian Processes
Mutual information in nonlinear communication channel: Analytical results in large SNR limit
The Bathroom Model: A Realistic Approach to Hash Table Algorithm Optimization
Collective Privacy Recovery: Data-sharing Coordination via Decentralized Artificial Intelligence
Spoken Digit Classification by In-Materio Reservoir Computing with Neuromorphic Atomic Switch Networks
Asymptotic Bayes risk of semi-supervised learning with uncertain labeling
Bribery Games on Interdependent Complex Networks
Adaptive Online Value Function Approximation with Wavelets
Learning simple heuristic rules for classifying materials based on chemical composition
Solving non-linear Horn clauses using a linear Horn clause solver
BlueSky: Realizing Buried Potential of Bluetooth to Sustain a Large-scale Multi-hop Network
Evolving Boolean Networks with RNA Editing
Bengali Fake Reviews: A Benchmark Dataset and Detection System
Sparse Regression Codes for Non-Coherent SIMO channels
A theory of Lending Protocols in DeFi
ChemLabs on ChemO: A Multi-Agent System for Multimodal Reasoning on IChO 2025
Time Series Compression Based on Adaptive Piecewise Recurrent Autoencoder
A Packet Scheduling Strategy in Sensor Networks with SGMH Protocol
Learning to Forget using Hypernetworks
Adiabatic control of the Schrödinger equation via conical intersections of the eigenvalues
All-Digital Self-interference Cancellation Technique for Full-duplex Systems
Limits of Treewidth-based tractability in Optimization
Adaptive Diffusion Policy Optimization for Robotic Manipulation
Curvature-dimension conditions for symmetric quantum Markov semigroups
Hashing for statistics over k-partitions
LiSens - A Scalable Architecture for Video Compressive Sensing
FGOT: Graph Distances based on Filters and Optimal Transport
Finite-Time Stabilization of Longitudinal Control for Autonomous Vehicles via a Model-Free Approach
Mosquito Detection with Neural Networks: The Buzz of Deep Learning
The dual reciprocity boundary elements method for one-dimensional nonlinear parabolic partial differential equations
Contextual Personalized Re-Ranking of Music Recommendations through Audio Features
The Industrial Internet of Things in the Industry 4.0 supply chains: literature review and future trends
Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness
Self-supervised Learning: Generative or Contrastive
Active and inactive quarantine in epidemic spreading on adaptive activity-driven networks
Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models
A Multiscale Graph Convolutional Network Using Hierarchical Clustering
Generative Adversarial Talking Head: Bringing Portraits to Life with a Weakly Supervised Neural Network
Spatial-wise Dynamic Distillation for MLP-like Efficient Visual Fault Detection of Freight Trains
Conversations with AI Chatbots Increase Short-Term Vaccine Intentions But Do Not Outperform Standard Public Health Messaging
SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media
Quantifying Human Behavior on the Block Design Test Through Automated Multi-Level Analysis of Overhead Video
Radial Prediction Domain Adaption Classifier for the MIDOG 2022 challenge
A Comparison of the Triangle Algorithm and SMO for Solving the Hard Margin Problem
The Role of Linear Layers in Nonlinear Interpolating Networks
Model revision inference for extensions of first order logic
A computational periporomechanics model for localized failure in unsaturated porous media
Rational stochastic languages
More than Just Statistical Recurrence: Human and Machine Unsupervised Learning of Māori Word Segmentation across Morphological Processes
The Utility of General Domain Transfer Learning for Medical Language Tasks
Phase transition in kinetic exchange opinion models with independence
The SLT 2021 children speech recognition challenge: Open datasets, rules and baselines
Performance Model for Similarity Caching
Extracting Overlapping Microservices from Monolithic Code via Deep Semantic Embeddings and Graph Neural Network-Based Soft Clustering
Transformer-based Multi-Modal Learning for Multi Label Remote Sensing Image Classification
Energy conservative isogeometric techniques for the wave equation
Automatic Assessment of Alzheimer's Disease Diagnosis Based on Deep Learning Techniques
Causal bootstrapping
Mask Off: Analytic-based Malware Detection By Transfer Learning and Model Personalization
Optical Flow on Evolving Sphere-Like Surfaces
VideoDistill: Language-aware Vision Distillation for Video Question Answering
On the adversarial robustness of DNNs based on error correcting output codes
Algebraic signal sampling, Gibbs phenomenon and Prony-type systems
A simple script language for choreography of multiple, synchronizing non-anthropomorphic robots
M2NO: Multiresolution Operator Learning with Multiwavelet-based Algebraic Multigrid Method
On the realistic worst case analysis of quantum arithmetic circuits
Toward Purpose-oriented Topic Model Evaluation enabled by Large Language Models
A Lower Bound on the Complexity of Approximating the Entropy of a Markov Source
Joint Depth and Reflectivity Estimation using Single-Photon LiDAR
DriveAgent-R1: Advancing VLM-based Autonomous Driving with Hybrid Thinking and Active Perception
DeepVIS: Bridging Natural Language and Data Visualization Through Step-wise Reasoning
The incel lexicon: Deciphering the emergent cryptolect of a global misogynistic community
Effective Quantization of Muon Optimizer States
DropTrack - automatic droplet tracking using deep learning for microfluidic applications
UAV Data Collection over NOMA Backscatter Networks: UAV Altitude and Trajectory Optimization
Deep Convolutional Neural Networks Meet Variational Shape Compactness Priors for Image Segmentation
Evaluation of Finetuned LLMs in AMR Parsing
An IBE-based Signcryption Scheme for Group Key Management
Size biased Multinomial Modelling of detection data in Software testing
Target-Focused Feature Selection Using a Bayesian Approach
Disentanglement Then Reconstruction: Learning Compact Features for Unsupervised Domain Adaptation
Low-rank geometric mean metric learning
Approximate Replicability in Learning
Computing in continuous space with self-assembling polygonal tiles
Post-hoc labeling of arbitrary EEG recordings for data-efficient evaluation of neural decoding methods
A Position- and Energy-Aware Routing Strategy for Subterranean LoRa Mesh Networks
Advanced Page Rank Algorithm with Semantics, In Links, Out Links and Google Analytics
Causality for Inherently Explainable Transformers: CAT-XPLAIN
TENT: Tensorized Encoder Transformer for Temperature Forecasting
Neural Text Generation: Past, Present and Beyond
Cross-Scale MAE: A Tale of Multi-Scale Exploitation in Remote Sensing
Artificial Hippocampus Networks for Efficient Long-Context Modeling
VHT: Vertical Hoeffding Tree
VANET Connectivity Analysis
The Enigma of CDMA Revisited
Optimal Hardening Strategy for Electricity-Hydrogen Networks with Hydrogen Leakage Risk Control against Extreme Weather
Mental Stress Detection using Data from Wearable and Non-wearable Sensors: A Review
On Stein Variational Neural Network Ensembles
Hyper-Representations: Learning from Populations of Neural Networks
Knowing When to Ask - Bridging Large Language Models and Data
SpectraLift: Physics-Guided Spectral-Inversion Network for Self-Supervised Hyperspectral Image Super-Resolution
Design, Modelling, and Control of a Reconfigurable Rotary Series Elastic Actuator with Nonlinear Stiffness for Assistive Robots
FCVSR: A Frequency-aware Method for Compressed Video Super-Resolution
Optimal non-pharmaceutical intervention policy for Covid-19 epidemic via neuroevolution algorithm
Delta Matters: An Analytically Tractable Model for β-δ Discounting Agents
Statistics of the Nonlinear Discrete Spectrum of a Noisy Pulse
Simulation of Nanorobots with Artificial Intelligence and Reinforcement Learning for Advanced Cancer Cell Detection and Tracking
On Computation of Error Locations and Values in Hermitian Codes
Adversarial RAW: Image-Scaling Attack Against Imaging Pipeline
Human language reveals a universal positivity bias
In-Order Sliding-Window Aggregation in Worst-Case Constant Time
Inference Attacks Against Collaborative Learning
Inference of the Russian drug community from one of the largest social networks in the Russian Federation
Flow: Per-Instance Personalized Federated Learning Through Dynamic Routing
Second-order Optimization of Gaussian Splats with Importance Sampling
Minimally Disruptive Cooperative Lane-change Maneuvers
HALCONE : A Hardware-Level Timestamp-based Cache Coherence Scheme for Multi-GPU systems
Good and Bad Optimization Models: Insights from Rockafellians
Vehicle Detection and Tracking From Surveillance Cameras in Urban Scenes
Reciprocity of weighted networks
Detecting and Tracking The Real-time Hot Topics: A Study on Computational Neuroscience
Weighted Sparse Subspace Representation: A Unified Framework for Subspace Clustering, Constrained Clustering, and Active Learning
VeriRAG: A Retrieval-Augmented Framework for Automated RTL Testability Repair
MemoryRanger Prevents Hijacking FILE_OBJECT Structures in Windows Kernel
YOLO Network For Defect Detection In Optical lenses
On the Optimal Scheduling in Pull-based Real-Time P2P Streaming Systems: Layered and Non-Layered Streaming
Deep Reinforcement Learning for IRS Phase Shift Design in Spatiotemporally Correlated Environments
A Comprehensive Study and Comparison of Core Technologies for MPEG 3D Point Cloud Compression
Learning from Drivers to Tackle the Amazon Last Mile Routing Research Challenge
Accelerated Methods for Non-Convex Optimization
ZTCloudGuard: Zero Trust Context-Aware Access Management Framework to Avoid Misuse Cases in the Era of Generative AI and Cloud-based Health Information Ecosystem
HistoKernel: Whole Slide Image Level Maximum Mean Discrepancy Kernels for Pan-Cancer Predictive Modelling
The problem of popular primes: Logjam
ESSENTIAL: Episodic and Semantic Memory Integration for Video Class-Incremental Learning
Sparsity-Based Super Resolution for SEM Images
Unified modality separation: A vision-language framework for unsupervised domain adaptation
Model Whisper: Steering Vectors Unlock Large Language Models' Potential in Test-time
Calibrated Uncertainty Sampling for Active Learning
Localized Weather Prediction Using Kolmogorov-Arnold Network-Based Models and Deep RNNs
Spectral Theory for Networks with Attractive and Repulsive Interactions
Authentication with Distortion Criteria
Exploring Variational Graph Autoencoders for Distribution Grid Data Generation
Dur360BEV: A Real-world 360-degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous Driving
Optimal Co-Designs of Communication and Control in Bandwidth-Constrained Cyber-Physical Systems
ModalityMirror: Improving Audio Classification in Modality Heterogeneity Federated Learning with Multimodal Distillation
Towards an Improved Understanding of Software Vulnerability Assessment Using Data-Driven Approaches
On the Role of Event Boundaries in Egocentric Activity Recognition from Photostreams
Safety Assessment of Scaffolding on Construction Site using AI
End-to-end Deep Learning from Raw Sensor Data: Atrial Fibrillation Detection using Wearables
A Novel Formula Calculating the Dynamic State Error and Its Application in UAV Tracking Control Problem
Deep FlexQP: Accelerated Nonlinear Programming via Deep Unfolding
Active Object Manipulation Facilitates Visual Object Learning: An Egocentric Vision Study
Configuration Models of Random Hypergraphs and their Applications
Cross-MPI: Cross-scale Stereo for Image Super-Resolution using Multiplane Images
Failure Modes and Effects Analysis: An Experience from the E-Bike Domain
SM3Det: A Unified Model for Multi-Modal Remote Sensing Object Detection
A bound-preserving and conservative enriched Galerkin method for elliptic problems
A framework for Conditional Reasoning in Answer Set Programming
A Survey of Deep Learning-based Point Cloud Denoising
Saliency Detection combining Multi-layer Integration algorithm with background prior and energy function
Low-Light Video Enhancement via Spatial-Temporal Consistent Illumination and Reflection Decomposition
Stain Normalized Breast Histopathology Image Recognition using Convolutional Neural Networks for Cancer Detection
Socratic Learning
Atlas-Alignment: Making Interpretability Transferable Across Language Models
Estimation and Clustering with Infinite Rankings
Learning Goal-Directed Object Pushing in Cluttered Scenes with Location-Based Attention
Fractal Descriptors in the Fourier Domain Applied to Color Texture Analysis
Digital twin of a MWh-scale grid battery system for efficiency and degradation analysis
Vision-based Human Fall Detection Systems using Deep Learning: A Review
The OpenLAM Challenges
Object Sensing for Fruit Ripeness Detection Using WiFi Signals
[Call for Papers] The 2nd BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus
Navigating Tomorrow: Reliably Assessing Large Language Models Performance on Future Event Prediction
Analysis of Co-Laughter Gesture Relationship on RGB videos in Dyadic Conversation Contex
On the design of energy-decaying momentum-conserving integrator for nonlinear dynamics using energy splitting and perturbation techniques
An analysis of the Geodesic Distance and other comparative metrics for tree-like structures
Low-Shot Learning for Fictional Claim Verification
WikiMT++ Dataset Card
Critical analysis on efficiency and noise reduction methodologies of a switch mode power supply using LISN topology
Generating Concurrent Programs From Sequential Data Structure Knowledge Using Answer Set Programming
HEDN: A Hard-Easy Dual Network with Task Difficulty Assessment for EEG Emotion Recognition
EP-SAM: Weakly Supervised Histopathology Segmentation via Enhanced Prompt with Segment Anything
Patch-based adaptive weighting with segmentation and scale (PAWSS) for visual tracking
Optimizing Sequential Multi-Step Tasks with Parallel LLM Agents
Cross-Dataset Recognition: A Survey
Utilization of e-Nose Sensory Modality as Add-On Feature for Advanced Driver Assistance System
Unsupervised Model Adaptation for Source-free Segmentation of Medical Images
Position Equations of a 3RPR Planar Manipulator
DisCoPy: the Hierarchy of Graphical Languages in Python
FORA: Fast-Forward Caching in Diffusion Transformer Acceleration
School of hard knocks: Curriculum analysis for Pommerman with a fixed computational budget
Instability of social network dynamics with stubborn links
Queue-Aware Variable-Length Coding for Ultra Reliable Low Latency Communications with Random Arrival
Countering Eavesdroppers with Meta-learning-based Cooperative Ambient Backscatter Communications
Network analysis of the Danish bicycle infrastructure: Bikeability across urban-rural divides
A General Approach to Approximate Multistage Subgraph Problems
Follow-the-Regularized-Leader and Mirror Descent: Equivalence Theorems and Implicit Updates
Wav2Small: Distilling Wav2Vec2 to 72K parameters for Low-Resource Speech emotion recognition
2D Multi-Class Model for Gray and White Matter Segmentation of the Cervical Spinal Cord at 7T
LarvSeg: Exploring Image Classification Data For Large Vocabulary Semantic Segmentation via Category-wise Attentive Classifier
Intrinsic Dimension Estimation
Insecure Ingredients? Exploring Dependency Update Patterns of Bundled JavaScript Packages on the Web
An HMM-based Multi-sensor Approach for Continuous Mobile Authentication
Channel load aware AP / Extender selection in Home WiFi networks using IEEE 802.11k/v
MOGO: Residual Quantized Hierarchical Causal Transformer for High-Quality and Real-Time 3D Human Motion Generation
NGEMM: Optimizing GEMM for Deep Learning via Compiler-based Techniques
On the relationship between set-based and network-based measures of gender homophily in scholarly publications
Approximation Algorithms for Low-Density Graphs
Students' Perception of LLM Use in Requirements Engineering Education: An Empirical Study Across Two Universities
Information-Based Heavy Hitters for Real-Time DNS Data Exfiltration Detection and Prevention
Solving High Volume Capacitated Vehicle Routing Problem with Time Windows using Recursive-DBSCAN clustering algorithm
Multi-Label Classification Method Based on Extreme Learning Machines
Riemannian Bilevel Optimization with Gradient Aggregation
Bridging the Sim-to-real Gap: A Control Framework for Imitation Learning of Model Predictive Control
Revisiting the Solution of Meta KDD Cup 2024: CRAG
Learning Coupled Earth System Dynamics with GraphDOP
Miniature fluorescence sensor for quantitative detection of brain tumour
A Model of Parametric Dependent Type Theory in Bridge/Path Cubical Sets