yusuke1997/dblp-id-title huggingface dataset:
AMRG: Extend Vision Language Models for Automatic Mammography Report Generation
Closing the Closed-Loop Distribution Shift in Safe Imitation Learning
Multi-video Moment Ranking with Multimodal Clue
Towards a Consistent, Sound and Complete Conceptual Knowledge
Native Directly Follows Operator
On the parameterized complexity of Compact Set Packing
Deep Learning Derived Histopathology Image Score for Increasing Phase 3 Clinical Trial Probability of Success
Reduced Grobner Basis With Double Exponential Cardinality
RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN
Large-margin Learning of Compact Binary Image Encodings
An audio-quality-based multi-strategy approach for target speaker extraction in the MISP 2023 Challenge
Experiences from Benchmarking Vision-Language-Action Models for Robotic Manipulation
Medical Diagnosis with a Novel SVM-CoDOA Based Hybrid Approach
BSEA-1 - A Stream Cipher Backdooring Technique
CLaMR: Contextualized Late-Interaction for Multimodal Content Retrieval
Properly colored $C_{4}$'s in edge-colored graphs
Learning to segment from object sizes
The variational infomax autoencoder
How Nonconformity Functions and Difficulty of Datasets Impact the Efficiency of Conformal Classifiers
GeoSplatting: Towards Geometry Guided Gaussian Splatting for Physically-based Inverse Rendering
Efficient formulation of a geometrically nonlinear beam element
Uncertainty Reduction for 3D Point Cloud Self-Supervised Traversability Estimation
On the Complexity of Exact Pattern Matching in Graphs: Determinism and Zig-Zag Matching
Adaptive Synchronization of Robotic Sensor Networks
A Watermarking Technique Using Discrete Curvelet Transform for Security of Multiple Biometric Features
Deep Residual Axial Networks
Non-intrusive reduced order models for the accurate prediction of bifurcating phenomena in compressible fluid dynamics
Depth Contrast: Self-Supervised Pretraining on 3DPM Images for Mining Material Classification
Exposing AI-Synthesized Human Voices Using Neural Vocoder Artifacts
Macrophages trajectories smoothing by evolving curves
Socializing the Semantic Gap: A Comparative Survey on Image Tag Assignment, Refinement and Retrieval
Flexible Networks for Learning Physical Dynamics of Deformable Objects
Tensor SimRank for Heterogeneous Information Networks
Achievable Throughput of Multi-mode Multiuser MIMO with Imperfect CSI Constraints
Predicting Penalty Kick Direction Using Multi-Modal Deep Learning with Pose-Guided Attention
Selective manipulation of disentangled representations for privacy-aware facial image processing
WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis
Revisiting the upper bounding process in a safe Branch and Bound algorithm
A note on power allocation for optimal capacity
How Does Ontology Contribute in Semantic Web Development?
Global Exponential Stabilization of Acyclic Traffic Networks
Backward Reduction of CNN Models with Information Flow Analysis
Automated Detection of Serializability Violations under Weak Consistency
An interface-tracking space-time hybridizable/embedded discontinuous Galerkin method for nonlinear free-surface flows
Switching Pushing Skill Combined MPC and Deep Reinforcement Learning for Planar Non-prehensile Manipulation
Seven Dimensions of Portability for Language Documentation and Description
Finite Time Exact Quantized Average Consensus with Limited Resources and Transmission Stopping for Energy-Aware Networks
Embedding Theory of Reservoir Computing and Reducing Reservoir Network Using Time Delays
Stock Market Prediction using Natural Language Processing - A Survey
MC-LLaVA: Multi-Concept Personalized Vision-Language Model
A practical, effective calculation of gamma difference distributions with open data science tools
DynaFix: Iterative Automated Program Repair Driven by Execution-Level Dynamic Information
Particle Gaussian Mixture (PGM) Filters
Data Sharing, Distribution and Updating Using Social Coding Community Github and LaTaX Packages in Graduate Research
Municipal cyber risk modeling using cryptographic computing to inform cyber policymaking
Abstracting Sketches through Simple Primitives
Generating Material Maps to Map Informal Settlements
Stochastic Model Predictive Control for Networked Systems with Random Delays and Packet Losses in All Channels
Rethinking Telemetry Design for Fine-Grained Anomaly Detection in 5G User Planes
Middle-Solving Grobner bases algorithm for cryptanalysis over finite fields
Efficient Federated Learning with Timely Update Dissemination
Run-Off Election: Improved Provable Defense against Data Poisoning Attacks
Bridging the Knowledge-Prediction Gap in LLMs on Multiple-Choice Questions
Order-Preserving Database Encryption with Secret Sharing
Recompression Based JPEG Tamper Detection and Localization Using Deep Neural Network Eliminating Compression Factor Dependency
Strong approximation of time-changed stochastic differential equations involving drifts with random and non-random integrators
An Adversarial Approach to Structural Estimation
Feasible combinatorial matrix theory
Semiotic internationalization and localization of computer programs
QTMRL: An Agent for Quantitative Trading Decision-Making Based on Multi-Indicator Guided Reinforcement Learning
Towards Comprehensively Understanding the Run-time Security of Programmable Logic Controllers: A 3-year Empirical Study
Deep Learning Algorithms for Signal Recognition in Long Perimeter Monitoring Distributed Fiber Optic Sensors
Guess First to Enable Better Compression and Adversarial Robustness
Automating AI Failure Tracking: Semantic Association of Reports in AI Incident Database
Viral content propagation in Online Social Networks
Explainable AI in Deep Learning-Based Prediction of Solar Storms
DESOBAv2: Towards Large-scale Real-world Dataset for Shadow Generation
Stochastic tree ensembles for regularized nonlinear regression
Optimizing Job Shop Scheduling in the Furniture Industry: A Reinforcement Learning Approach Considering Machine Setup, Batch Variability, and Intralogistics
Molecular dynamic simulation of water vapor interaction with blind pore of dead-end and saccate type
A National Discovery Cloud: Preparing the US for Global Competitiveness in the New Era of 21st Century Digital Transformation
Epistemic Logic over Similarity Graphs: Common, Distributed and Mutual Knowledge
Towards Real-Time Fake News Detection under Evidence Scarcity
Machine Learning Algorithms for Financial Asset Price Forecasting
Mind the Domain Gap: Measuring the Domain Gap Between Real-World and Synthetic Point Clouds for Automated Driving Development
Deep Video Coding with Dual-Path Generative Adversarial Network
Synthetic Geology - Structural Geology Meets Deep Learning
Hierarchical Learning Framework for Whole-Body Model Predictive Control of a Real Humanoid Robot
Counterfactual Identifiability via Dynamic Optimal Transport
Locally Best Invariant Test for Multiple Primary User Spectrum Sensing
One Objective to Rule Them All: A Maximization Objective Fusing Estimation and Planning for Exploration
Knowledge-Driven 3D Semantic Spectrum Map: KE-VQ-Transformer Based UAV Semantic Communication and Map Completion
Transformer-Based Wireless Capsule Endoscopy Bleeding Tissue Detection and Classification
Rethinking Urban Flood Risk Assessment By Adapting Health Domain Perspective
Cryptographically Strong Permutations from the Butterfly Structure
Learning Excavation of Rigid Objects with Offline Reinforcement Learning
Lightweight Unified Sha-3/Shake Architecture with a Fault-Resilient State
Analysis of French Phonetic Idiosyncrasies for Accent Recognition
Look Both Ways: Bidirectional Visual Sensing for Automatic Multi-Camera Registration
Spatiotemporal and Semantic Zero-inflated Urban Anomaly Prediction
On Incremental Structure-from-Motion using Lines
A Contextual Analysis of Driver-Facing and Dual-View Video Inputs for Distraction Detection in Naturalistic Driving Environments
Evaluating Intra-firm LLM Alignment Strategies in Business Contexts
EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving
What does it take to certify conversion?
Designing Game Feel. A Survey
Neighborhood complexity and kernelization for nowhere dense classes of graphs
EEG-based Texture Roughness Classification in Active Tactile Exploration with Invariant Representation Learning Networks
Machine Learning Suites for Online Toxicity Detection
Fast Accurate Defect Detection in Wafer Fabrication
Efficient Optimization Accelerator Framework for Multistate Ising Problems
How to Balance the Load Online When Jobs and Machines Are Both Selfish?
Multi-Agent Trust Region Policy Optimisation: A Joint Constraint Approach
Promises, Outlooks and Challenges of Diffusion Language Modeling
Continual self-training with bootstrapped remixing for speech enhancement
Error estimation for quasi-Monte Carlo
Empirical Study of Artificial Fish Swarm Algorithm
A more secure IPv6 neighborhood process
Automating lichen monitoring in ecological studies using instance segmentation of time-lapse images
Position: Restructuring of Categories and Implementation of Guidelines Essential for VLM Adoption in Healthcare
Parameterized Algorithmics for Computational Social Choice: Nine Research Challenges
Minimisation in Logical Form
The Equivalent Conversions of the Role-Based Access Control Model
Deep Pareto Reinforcement Learning for Multi-Objective Recommender Systems
Simultaneous estimation of wall and object parameters in TWR using deep neural network
Computing maximal generalized palindromes
Group Formation through Game Theory and Agent-Based Modeling: Spatial Cohesion, Heterogeneity, and Resource Pooling
An Attentive Graph Agent for Topology-Adaptive Cyber Defence
AI-Driven Real-Time Monitoring of Ground-Nesting Birds: A Case Study on Curlew Detection Using YOLOv10
Delay Embedding Theory of Neural Sequence Models
Sharp Eyes: A Salient Object Detector Working The Same Way as Human Visual Characteristics
FC Portugal 3D Simulation Team: Team Description Paper 2020
Experimenting with Component-Based Middleware for Adaptive Fault Tolerant Computing
Identity information based on human magnetocardiography signals
Zero-shot Imitation Policy via Search in Demonstration Dataset
FIMO: A Challenge Formal Dataset for Automated Theorem Proving
Source Code Protection for Applications Written in Microsoft Excel and Google Spreadsheet
Transformers Don't Need LayerNorm at Inference Time: Scaling LayerNorm Removal to GPT-2 XL and the Implications for Mechanistic Interpretability
Comments on the Boundary of the Capacity Region of Multiaccess Fading Channels
Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning
Masked Contrastive Graph Representation Learning for Age Estimation
Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT
Decentralized Smoothing ADMM for Quantile Regression with Non-Convex Sparse Penalties
The convergence of the EM scheme in empirical approximation of invariant probability measure for McKean-Vlasov SDEs
Online Douglas-Rachford splitting method
An Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing
Impact of AI-tooling on the Engineering Workspace
Solar radiation forecasting using ad-hoc time series preprocessing and neural networks
MMT-BERT: Chord-aware Symbolic Music Generation Based on Multitrack Music Transformer and MusicBERT
On the Packet Decoding Delay of Linear Network Coded Wireless Broadcast
Intent Recognition in Conversational Recommender Systems
Characterizing Semantic Ambiguity of the Materials Science Ontologies
Look Closer! An Adversarial Parametric Editing Framework for Hallucination Mitigation in VLMs
On a Fast Solution Strategy for a Surface-Wire Integral Formulation of the Anisotropic Forward Problem in Electroencephalography
LLM-based Conversational AI Therapist for Daily Functioning Screening and Psychotherapeutic Intervention via Everyday Smart Devices
Context-Based Multimodal Fusion
Improving HTTP/3 Quality of Experience with EPS
Algebraic Solution for Beamforming in Two-Way Relay Systems with Analog Network Coding
Semi-Passive IRS Enabled Sensing with Group Movable Sensors
Single Domain Generalization with Model-aware Parametric Batch-wise Mixup
Complexity through the Observation of Simple Systems
Semi-Supervised Hierarchical Multi-Label Classifier Based on Local Information
A Counter-Example to Karlin's Strong Conjecture for Fictitious Play
CoUAV: A Cooperative UAV Fleet Control and Monitoring Platform
ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information
Over-the-Top Resource Broker System for Split Computing: An Approach to Distribute Cloud Computing Infrastructure
POSERS: Steganography-Driven Molecular Tagging Using Randomized DNA Sequences
4D-StOP: Panoptic Segmentation of 4D LiDAR using Spatio-temporal Object Proposal Generation and Aggregation
A Lightweight Method for Tackling Unknown Participation Probabilities in Federated Averaging
Temporal networks: slowing down diffusion by long lasting interactions
Time-Optimized Trajectory Planning for Non-Prehensile Object Transportation in 3D
Evacuating Two Robots from Two Unknown Exits on the Perimeter of a Disk
The Verbal and Non Verbal Signals of Depression - Combining Acoustics, Text and Visuals for Estimating Depression Level
A Multimodal Human-Centered Framework for Assessing Pedestrian Well-Being in the Wild
Stability and Convergence Analysis of an Exact Finite Difference Scheme for Fredholm Integro-Differential Equations
LTLCrit: A Temporal Logic-based LLM Critic for Safe and Efficient Embodied Agents
Analyzing the Interpretability Robustness of Self-Explaining Models
Flare: Native Compilation for Heterogeneous Workloads in Apache Spark
Opioid Named Entity Recognition (ONER-2025) from Reddit
HDC-X: Efficient Medical Data Classification for Embedded Devices
Optimizing Rank for High-Fidelity Implicit Neural Representations
Norming Sets for Tensor and Polynomial Sketching
Boosting Order-Preserving and Transferability for Neural Architecture Search: a Joint Architecture Refined Search and Fine-tuning Approach
Reductions to the set of random strings: The resource-bounded case
Toward Fault Detection in Industrial Welding Processes with Deep Learning and Data Augmentation
Financial Market Directional Forecasting With Stacked Denoising Autoencoder
Discovering Directly-Follows Graph Model for Acyclic Processes
iMOVE: Instance-Motion-Aware Video Understanding
Unsupervised domain adaptation semantic segmentation of high-resolution remote sensing imagery with invariant domain-level context memory
Adaptivity vs Postselection
Generating Adversarial Examples with an Optimized Quality
Assessing the Value of 3D Reconstruction in Building Construction
Distributionally Robust Prescriptive Analytics with Wasserstein Distance
A novel view: edge isoperimetric methods and reliability evaluation of several kinds of conditional edge-connectivity of interconnection networks
High Temporal Resolution Rainfall Runoff Modelling Using Long-Short-Term-Memory (LSTM) Networks
A Unified Learning-based Optimization Framework for 0-1 Mixed Problems in Wireless Networks
Encoding !-tensors as !-graphs with neighbourhood orders
Survey on STT-MRAM Testing: Failure Mechanisms, Fault Models, and Tests
RO-MAP: Real-Time Multi-Object Mapping with Neural Radiance Fields
BER and Outage Probability Approximations for LMMSE Detectors on Correlated MIMO Channels
Stochastic Geometry-Based Analysis of Airborne Base Stations with Laser-powered UAVs
LLMThinkBench: Towards Basic Math Reasoning and Overthinking in Large Language Models
Comparing CSI and PCA in Amalgamation with JPEG for Spectral Image Compression
Optical Character Recognition using Convolutional Neural Networks for Ashokan Brahmi Inscriptions
Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation
Parameterized Inapproximability of the Minimum Distance Problem over all Fields and the Shortest Vector Problem in all 𝓁 p Norms
Intentional Attention Mask Transformation for Robust CNN Classification
Optimal Energy Management of Plug-in Hybrid Vehicles Through Exploration-to-Exploitation Ratio Control in Ensemble Reinforcement Learning
The complexity of approximating the complex-valued Ising model on bounded degree graphs
Text-to-Pipeline: Bridging Natural Language and Data Preparation Pipelines
Semi-implicit high resolution numerical scheme for conservation laws
DEAS: DEtached value learning with Action Sequence for Scalable Offline RL
PreprintResolver: Improving Citation Quality by Resolving Published Versions of ArXiv Preprints using Literature Databases
Network Lifetime Maximization in Wireless Mesh Networks for Machine-to-Machine Communication
CoinFT: A Coin-Sized, Capacitive 6-Axis Force Torque Sensor for Robotic Applications
A Framework for Analyzing Online Cross-correlators using Price's Theorem and Piecewise-Linear Decomposition
An LLM-Empowered Adaptive Evolutionary Algorithm For Multi-Component Deep Learning Systems
Machine Learning and Applied Linguistics
About embedded quarters and points at infinity in the hyperbolic plane
The Dataset Nutrition Label (2nd Gen): Leveraging Context to Mitigate Harms in Artificial Intelligence
Multimodal Classification of Events in Social Media
Asymptotic bit frequency in Fibonacci words
In Dialogue with Intelligence: Rethinking Large Language Models as Collective Knowledge
Navigating the Concurrency Landscape: A Survey of Race Condition Vulnerability Detectors
Hyperspectral Unmixing Network Inspired by Unfolding an Optimization Problem
Conceptualising Cloud Migration Lifecycle
Agile Software Development Methods: Review and Analysis
SER_AMPEL: A multi-source dataset for SER of Italian older adults
Vision-Language Models for Infrared Industrial Sensing in Additive Manufacturing Scene Description
2x2 MIMO Prototype for BER and EVM Measurements in Metal Enclosure
The DALPHI annotation framework & how its pre-annotations can improve annotator efficiency
Opening the Black-Box: A Systematic Review on Explainable AI in Remote Sensing
Compact DSOP and partial DSOP Forms
Language Models can perform Single-Utterance Self-Correction of Perturbed Reasoning
Scaling Up Your Kernels: Large Kernel Design in ConvNets towards Universal Representations
Data and Knowledge for Overtaking Scenarios in Autonomous Driving
Q- and A-learning Methods for Estimating Optimal Dynamic Treatment Regimes
Approximating Rectangles by Juntas and Weakly-Exponential Lower Bounds for LP Relaxations of CSPs
Graph Fourier Neural Kernels (G-FuNK): Learning Solutions of Nonlinear Diffusive Parametric PDEs on Multiple Domains
ComperDial: Commonsense Persona-grounded Dialogue Dataset and Benchmark
Sunstar: A Cost-effective Multi-Server Solution for Reliable Video Delivery
On Two-generated Non-commutative Algebras Subject to the Affine Relation
Augmenting Light Field to model Wave Optics effects
PERT: A New Solution to Pinyin to Character Conversion Task
Four imprints of Belnap's useful four-valued logic in computer science
Gamification with Purpose: What Learners Prefer to Motivate Their Learning
Single-Ferroelectric Memcapacitor-Based Time-Domain Content-Addressable Memory for Highly Precise Distance Function Computation
Attention-based Neural Beamforming Layers for Multi-channel Speech Recognition
Non-Contact Breath Rate Classification Using SVM Model and mmWave Radar Sensor Data
Standalone FPGA-Based QAOA Emulator for Weighted-MaxCut on Embedded Devices
Complexity of a Root Clustering Algorithm
Asset-Driven Sematic Reconstruction of Dynamic Scene with Multi-Human-Object Interactions
Next Point-of-interest (POI) Recommendation Model Based on Multi-modal Spatio-temporal Context Feature Embedding
Principle of Relevant Information for Graph Sparsification
Learning adaptive coarse spaces of BDDC algorithms for stochastic elliptic problems with oscillatory and high contrast coefficients
HADL Framework for Noise Resilient Long-Term Time Series Forecasting
Deep Learning Based Natural Language Processing for End to End Speech Translation
Robust and highly adaptable brain-computer interface with convolutional net architecture based on a generative model of neuromagnetic measurements
Synthesis of Hierarchical Controllers Based on Deep Reinforcement Learning Policies
Lyra: An Efficient and Expressive Subquadratic Architecture for Modeling Biological Sequences
CPPNet: A Coverage Path Planning Network
Unsupervised word sense disambiguation in dynamic semantic spaces
Balancing Passenger Transport and Power Distribution: A Distributed Dispatch Policy for Shared Autonomous Electric Vehicles
Algorithms for finding k in k-means
Precise Action-to-Video Generation Through Visual Action Prompts
The Incomplete Rosetta Stone Problem: Identifiability Results for Multi-View Nonlinear ICA
Prediction by Machine Learning Analysis of Genomic Data Phenotypic Frost Tolerance in Perccottus glenii
Constructive Symbolic Reinforcement Learning via Intuitionistic Logic and Goal-Chaining Inference
Assisted Physical Interaction: Autonomous Aerial Robots with Neural Network Detection, Navigation, and Safety Layers
MiftyCoin (MFT): A Cryptocurrency Mined with Proof of Human Work
Explicit and CPU/GPU parallel energy-preserving schemes for the Klein-Gordon-Schrödinger equations
Solving a percolation inverse problem with a divide-and-concur algorithm
AI Fairness via Domain Adaptation
Using the discrete radon transformation for grayscale image moments
SWE-QA: Can Language Models Answer Repository-level Code Questions?
RSDet++: Point-based Modulated Loss for More Accurate Rotated Object Detection
A notion of continuity in discrete spaces and applications
Project portfolio selection: Multi-criteria analysis and interactions between projects
Forecasting and Event Detection in Internet Resource Dynamics using Time Series Models
Hybrid Inlining: A Compositional and Context Sensitive Static Analysis Framework
Optimization of phase-only holograms calculated with scaled diffraction calculation through deep neural networks
401 and beyond: improved bounds and algorithms for the Ramsey algebra search
BI-MAML: Balanced Incremental Approach for Meta Learning
ZEAL: Surgical Skill Assessment with Zero-shot Tool Inference Using Unified Foundation Model
A Reproducible Extraction of Training Images from Diffusion Models
Segmentation of Prostate Tumour Volumes from PET Images is a Different Ball Game
Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels
Exploration and Exploitation in Visuomotor Prediction of Autonomous Agents
Learning Spatiotemporal-Aware Representation for POI Recommendation
Accelerating Sparse Convolutions in Voxel-Based Point Cloud Networks
Spreading of fake news, competence, and learning: kinetic modeling and numerical approximation
Template Matters: Understanding the Role of Instruction Templates in Multimodal Language Model Evaluation and Training
Learning to Wait: Wi-Fi Contention Control using Load-based Predictions
Learning Sparse Analytic Filters for Piano Transcription
EVD Surgical Guidance with Retro-Reflective Tool Tracking and Spatial Reconstruction using Head-Mounted Augmented Reality Device
On the Interplay Between Fine-tuning and Sentence-level Probing for Linguistic Knowledge in Pre-trained Transformers
AE-Flow: AutoEncoder Normalizing Flow
Longitudinal Causal Image Synthesis
Synthesizing a Progression of Subtasks for Block-Based Visual Programming Tasks
Detection of anomalously emitting ships through deviations from predicted TROPOMI NO2 retrievals
AnchorOPT: Towards Optimizing Dynamic Anchors for Adaptive Prompt Learning
C-NAV: Towards Self-Evolving Continual Object Navigation in Open World
OC16-CE80: A Chinese-English Mixlingual Database and A Speech Recognition Baseline
Selection of future events from a time series in relation to estimations of forecasting uncertainty
Low-Frequency Characterization of Music Sounds - Ultra-Bass Richness from the Sound Wave Beats
Exact Formulas for Finite-Time Estimation Errors of Decentralized Temporal Difference Learning with Linear Function Approximation
Efficient Global Multi-object Tracking Under Minimum-cost Circulation Framework
Image Denoising using Optimally Weighted Bilateral Filters: A Sure and Fast Approach