yusuke1997/dblp-id-title huggingface dataset:
Impact of Accuracy on Model Interpretations
NL2CMD: An Updated Workflow for Natural Language to Bash Commands Translation
Some Basic Radio System OPSEC Considerations
Adaptive Attention-Based Model for 5G Radio-based Outdoor Localization
Designing Parameter and Compute Efficient Diffusion Transformers using Distillation
Quantifying the Scanner-Induced Domain Gap in Mitosis Detection
Max-size popular matchings and extensions
On Isometry Robustness of Deep 3D Point Cloud Models under Adversarial Attacks
Top Score in Axelrod Tournament
Adaptive Real-Time Grid Operation via Online Feedback Optimization with Sensitivity Estimation
A Framework for Semantic In-network Caching and Prefetching in 5G Mobile Networks
Finding Fast Transformers: One-Shot Neural Architecture Search by Component Composition
Integrating psychotherapy practices and gamified elements in novel game mechanics for stress relief
Integrating Auxiliary Information in Self-supervised Learning
TVTSv2: Learning Out-of-the-box Spatiotemporal Visual Representations at Scale
Construction of Community Web Directories based on Web usage Data
CNN-Driven Quasiconformal Model for Large Deformation Image Registration
Real-Time Mobile Video Analytics for Pre-arrival Emergency Medical Services
On the Complexity Landscape of Connected f -Factor Problems
On the Ergodic Capacity of MIMO Free-Space Optical Systems over Turbulence Channels
Deciphering interventional dynamical causality from non-intervention systems
Entropy is all you need for Inter-Seed Cross-Play in Hanabi
Zero Day Threat Detection Using Graph and Flow Based Security Telemetry
On well-separated sets and fast mutipole methods
Towards a framework for observational causality from time series: when Shannon meets Turing
Information-theoretic Physical Layer Security for Satellite Channels
Learning to Predict Requires Integrated Information
Approximation and application of minimizing movements for surface PDE
Fully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and Mask R-CNN
Single Image Reflection Removal with Physically-based Rendering
Measuring Influence on Instagram: a Network-oblivious Approach
Synthetic4Health: Generating Annotated Synthetic Clinical Letters
"Mental Rotation" by Optimizing Transforming Distance
Thresholds in the Lattice of Subspaces of (F q ) n
A Flexible FBG-Based Contact Force Sensor for Robotic Gripping Systems
Comparing Acoustic-based Approaches for Alzheimer's Disease Detection
Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions
Handcrafted vs. Deep Radiomics vs. Fusion vs. Deep Learning: A Comprehensive Review of Machine Learning -Based Cancer Outcome Prediction in PET and SPECT Imaging
Ugly Ducklings or Swans: A Tiered Quadruplet Network with Patient-Specific Mining for Improved Skin Lesion Classification
The Near-Optimal Feasible Space of a Renewable Power System Model
Optimal L 2 Error Estimates for Non-symmetric Nitsche's Methods
WISE: Unraveling Business Process Metrics with Domain Knowledge
Space-Time Tradeoffs for Answering Boolean Conjunctive Queries
STAR: Spatio-Temporal Altimeter Waveform Retracking using Sparse Representation and Conditional Random Fields
Quantum Algorithms for Weighted Constrained Sampling and Weighted Model Counting
Relaxing the Gaussian AVC
On Fair Virtual Conference Scheduling: Achieving Equitable Participant and Speaker Satisfaction
Orthogonal Echo State Networks and stochastic evaluations of likelihoods
SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting
Self-Supervised Learning with Multi-View Rendering for 3D Point Cloud Analysis
A Survey of Naïve Bayes Machine Learning approach in Text Document Classification
Evaluate Bias without Manual Test Sets: A Concept Representation Perspective for LLMs
Compact and Efficient Encodings for Planning in Factored State and Action Spaces with Learned Binarized Neural Network Transition Models
Optimal Parametrization and Comparative Analysis of Preallocation Methods for Combinatorial Auction-Based Channel Assignment
Personalized local heating neutralizing individual, spatial and temporal thermo-physiological variances in extreme cold environments
Refined Grey-Box Fuzzing with SIVO
Scalable Group Management in Large-Scale Virtualized Clusters
End-to-end Convolutional Network for Saliency Prediction
O(1) Time Generation of Adjacent Multiset Combinations
Packing Topological Minors Half-Integrally
Human Emotion Detection from Audio and Video Signals
Improved approximation algorithms for two Euclidean k-Center variants
New Algorithms and Hardness for Incremental Single-Source Shortest Paths in Directed Graphs
FedSight AI: Multi-Agent System Architecture for Federal Funds Target Rate Prediction
Zero-Level-Set Encoder for Neural Distance Fields
Uniform-Price Mechanism Design for a Large Population of Dynamic Agents
PRISM: Robust VLM Alignment with Principled Reasoning for Integrated Safety in Multimodality
Vision Language Models: A Survey of 26K Papers
Automated Machine Learning Service Composition
Short monadic second order sentences about sparse random graphs
Active Learning with a Noisy Annotator
Optimal topological simplification of discrete functions on surfaces
UPCMR: A Universal Prompt-guided Model for Random Sampling Cardiac MRI Reconstruction
Sequential Coding of Markov Sources over Burst Erasure Channels
Who's the Evil Twin? Differential Auditing for Undesired Behavior
AnoPLe: Few-Shot Anomaly Detection via Bi-directional Prompt Learning with Only Normal Samples
The Impact of Ownership and Contribution Alignment on Code Technical Debt Accumulation
Calyx: Privacy-Preserving Multi-Token Optimistic-Rollup Protocol
Multistage BiCross Encoder: Team GATE Entry for MLIA Multilingual Semantic Search Task 2
A Modeling Framework for Schedulability Analysis of Distributed Avionics Systems
Inferring unknown biological function by integration of GO annotations and gene expression data
Table-based Fact Verification with Salience-aware Learning
Differentially Private Training of Mixture of Experts Models
Towards Efficient Large Language Models for Scientific Text: A Review
A feedforward neural network for modelling of average pressure frequency response
Dosimetric impact of physician style variations in contouring CTV for post-operative prostate cancer: A deep learning based simulation study
3D Semantic Segmentation for Post-Disaster Assessment
A Smart Backtracking Algorithm for Computing Set Partitions with Parts of Certain Sizes
A Risk-Averse Just-In-Time Scheme for Learning-Based Operation of Microgrids with Coupled Electricity-Hydrogen-Ammonia under Uncertainties
Inference for diffusions from low frequency measurements
Template NeRF: Towards Modeling Dense Shape Correspondences from Category-Specific Object Images
Cold-Start based Multi-Scenario Ranking Model for Click-Through Rate Prediction
Combining the analytical hierarchy process and the genetic algorithm to solve the timetable problem
Higher-Order Aggregate Networks in the Analysis of Temporal Networks: Path structures and centralities
Space Net Optimization
RandomForestMLP: An Ensemble-Based Multi-Layer Perceptron Against Curse of Dimensionality
LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class Taxonomies
Channel Pruned YOLOv5-based Deep Learning Approach for Rapid and Accurate Outdoor Obstacles Detection
Mimicking User Data: On Mitigating Fine-Tuning Risks in Closed Large Language Models
Evaluating the predicted reliability of mechatronic systems: state of the art
Y-Diagonal Couplings: Approximating Posteriors with Conditional Wasserstein Distances
An Ecologically-Informed Deep Learning Framework for Interpretable and Validatable Habitat Mapping
Modeling Intent, Dialog Policies and Response Adaptation for Goal-Oriented Interactions
GCF: Generalized Causal Forest for Heterogeneous Treatment Effect Estimation in Online Marketplace
Wavelet-Guided Dual-Frequency Encoding for Remote Sensing Change Detection
A Learning-Based Visual Saliency Prediction Model for Stereoscopic 3D Video (LBVS-3D)
Thermodynamically-Efficient Local Computation: Classical and quantum information reservoirs and generators
OMG: Occlusion-friendly Personalized Multi-concept Generation in Diffusion Models
Safe Exploration in Model-based Reinforcement Learning using Control Barrier Functions
Adversarial Coevolutionary Illumination with Generational Adversarial MAP-Elites
Denoised Labels for Financial Time-Series Data via Self-Supervised Learning
Customizing Host IDE for Non-programming Users of Pure Embedded DSLs: A Case Study
Joint Analysis of Acoustic Scenes and Sound Events Based on Multitask Learning with Dynamic Weight Adaptation
Accelerating Sparse Approximate Matrix Multiplication on GPUs
Tuning for Software Analytics: is it Really Necessary?
Social media uptake of scientific journals: A comparison between X and WeChat
Joint Multiple Intent Detection and Slot Filling via Self-distillation
Bijective Deformations in R n via Integral Curve Coordinates
Encoder-Decoder Network with Guided Transmission Map: Architecture - Extended Abstract
AnyPattern: Towards In-context Image Copy Detection
Double Refinement Network for Efficient Indoor Monocular Depth Estimation
Symbolic State Partition for Reinforcement Learning
Alignment without Over-optimization: Training-Free Solution for Diffusion Models
Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks
G-Boost: Boosting Private SLMs with General LLMs
Well-supported phylogenies using largest subsets of core-genes by discrete particle swarm optimization
A Scalable Architecture for Monitoring IoT Devices Using Ethereum and Fog Computing
Impacts of Variable-Impedance-Based Power Flow Control on Renewable Energy Integration
OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model
Classify Participants in Online Communities
MMT: A Multilingual and Multi-Topic Indian Social Media Dataset
Transferring Features Across Language Models With Model Stitching
A Scalable and Quantum-Accurate Foundation Model for Biomolecular Force Field via Linearly Tensorized Quadrangle Attention
Visual Referential Games Further the Emergence of Disentangled Representations
Task-adaptive Q-Face
A mutli-thread tabu search algorithm
How Robust is the Median-of-Means? Concentration Bounds in Presence of Outliers
Analysis of Semantic Communication for Logic-based Hypothesis Deduction
FedGTEA: Federated Class-Incremental Learning with Gaussian Task Embedding and Alignment
A context-aware pedestrian trajectory prediction framework for automated vehicles
Integer Traffic Assignment Problem: Algorithms and Insights on Random Graphs
ChatGPT in the Age of Generative AI and Large Language Models: A Concise Survey
DREW : Towards Robust Data Provenance by Leveraging Error-Controlled Watermarking
The Fiber Walk: A Model of Tip-Driven Growth with Lateral Expansion
Interpreting deep embeddings for disease progression clustering
An Integrative Introduction to Human Augmentation Science
XLSTM-HVED: Cross-Modal Brain Tumor Segmentation and MRI Reconstruction Method Using Vision XLSTM and Heteromodal Variational Encoder-Decoder
Sentence Modeling via Multiple Word Embeddings and Multi-level Comparison for Semantic Textual Similarity
Analysis of the Stochastic Alternating Least Squares Method for the Decomposition of Random Tensors
SequencePAR: Understanding Pedestrian Attributes via A Sequence Generation Paradigm
Secure Convolutional Neural Network using FHE
Accelerating Aquatic Soft Robots with Elastic Instability Effects
The Price of Using Students Comments on Empirical software engineering experts on the use of students and professionals in experiments
AraSpider: Democratizing Arabic-to-SQL
Byzantine-Resilient Output Optimization of Multiagent via Self-Triggered Hybrid Detection Approach
First line of defense: A robust first layer mitigates adversarial attacks
SafeGuardPF: Safety Guaranteed Reactive Potential Fields for Mobile Robots in Unknown and Dynamic Environments
ALT: um software para análise de legibilidade de textos em Língua Portuguesa
Online Joint Fine-tuning of Multi-Agent Flows
A Survey on Large Language Models for Personalized and Explainable Recommendations
Sparse Kalman Identification for Partially Observable Systems via Adaptive Bayesian Learning
Sciduction: Combining Induction, Deduction, and Structure for Verification and Synthesis
q-ary Sequential Locally Recoverable Codes from the Product Construction
Multi-Objective Latent Space Optimization of Generative Molecular Design Models
Embedding Spatial Software Visualization in the IDE: an Exploratory Study
Mixed integer linear optimization formulations for learning optimal binary classification trees
A Semantic Account of Metric Preservation
SINR Constrained Beamforming for a MIMO Multi-user Downlink System
SpeechAlign: a Framework for Speech Translation Alignment Evaluation
Patch DCT vs LeNet
Domain Adaptive Object Detection via Asymmetric Tri-way Faster-RCNN
Hyperset Approach to Semi-structured Databases and the Experimental Implementation of the Query Language Delta
Enhanced Predictive Modeling for Hazardous Near-Earth Object Detection: A Comparative Analysis of Advanced Resampling Strategies and Machine Learning Algorithms in Planetary Risk Assessment
Content-based jewellery item retrieval using the local region-based histograms
An Empirical Evaluation of Cost-based Federated SPARQL Query Processing Engines
CHARM: A Hierarchical Deep Learning Model for Classification of Complex Human Activities Using Motion Sensors
An analysis of visitors' length of stay through noninvasive Bluetooth monitoring in the Louvre Museum
PoseGAM: Robust Unseen Object Pose Estimation via Geometry-Aware Multi-View Reasoning
Max Consensus in Sensor Networks: Non-linear Bounded Transmission and Additive Noise
Ensemble of Pathology Foundation Models for MIDOG 2025 Track 2: Atypical Mitosis Classification
Recommendations for Bayesian hierarchical model specifications for case-control studies in mental health
Revisiting UTAUT for the Age of AI: Understanding Employees AI Adoption and Usage Patterns Through an Extended UTAUT Framework
Sync or Sink: Bounds on Algorithmic Collective Action with Noise and Multiple Groups
There is a Singularity in the Loss Landscape
FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes
Adaptive Model Refinement with Batch Bayesian Sampling for Optimization of Bio-inspired Flow Tailoring
Virtual Electrode Recording Tool for EXtracellular potentials (VERTEX): Comparing multi-electrode recordings from simulated and biological mammalian cortical tissue
Circular Proofs as Processes: Type-Based Termination via Arithmetic Refinements
MASA-TCN: Multi-anchor Space-aware Temporal Convolutional Neural Networks for Continuous and Discrete EEG Emotion Recognition
Check Reliability Based Bit-Flipping Decoding Algorithms for LDPC Codes
RubikSQL: Lifelong Learning Agentic Knowledge Base as an Industrial NL2SQL System
Nominalistic Logic (Extended Abstract)
VizGenie: Toward Self-Refining, Domain-Aware Workflows for Next-Generation Scientific Visualization
Evo* 2025 - Late-Breaking Abstracts Volume
Spectral Orbits and Peak-to-Average Power Ratio of Boolean Functions with respect to the {I,H,N}^n Transform
3D Part Assembly Generation with Instance Encoded Transformer
On Convergence of the Alternating Directions SGHMC Algorithm
Beamforming Optimization for Continuous Aperture Array (CAPA)-based Communications
Opportunistic Relaying in Wireless Networks
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale
CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTs
Error-Correcting Codes for Reliable Communications in Microgravity Platforms
Machine Learning for Anomaly Detection and Categorization in Multi-cloud Environments
VR-Assisted Guide Dog Training: A 360° PanoHaptic System for Right-Hand Commands Analysis
Learning Wave Propagation with Attention-Based Convolutional Recurrent Autoencoder Net
Way to Go! Automatic Optimization of Wayfinding Design
Striking a Balance: An Optimal Mechanism Design for Heterogenous Differentially Private Data Acquisition for Logistic Regression
Learning Context-Sensitive Time-Decay Attention for Role-Based Dialogue Modeling
Efficient Knowledge Deletion from Trained Models through Layer-wise Partial Machine Unlearning
On the Convergence of Optimizing Persistent-Homology-Based Losses
Value-centric Dynamic Partial Order Reduction
Diffusion geometry unravels the emergence of functional clusters in collective phenomena
Review Of Integrated Photonic Elastic WDM Switches For Data Centers
Dynamic Control of Service Systems with Returns: Application to Design of Post-Discharge Hospital Readmission Prevention Programs
Conversational Rubert for Detecting Competitive Interruptions in ASR-Transcribed Dialogues
Large Language Model Enhancers for Graph Neural Networks: An Analysis from the Perspective of Causal Mechanism Identification
Linearized Wasserstein dimensionality reduction with approximation guarantees
Accuracy Enhancement for Ear Acoustic Authentication Using Between-class Features
Benchmarking of LLM Detection: Comparing Two Competing Approaches
What Do End-Users Really Want? Investigation of Human-Centered XAI for Mobile Health Apps
Forward-Mode Automatic Differentiation in Julia
Accelerating Dependency Graph Learning from Heterogeneous Categorical Event Streams via Knowledge Transfer
Comparative Analysis of Distributed and Parallel File Systems' Internal Techniques
Network-wide Packet Behavior Identification and Private Network Function Outsourcing
Fixing It in Post: A Comparative Study of LLM Post-Training Data Quality and Model Performance
Revenue Prediction of Local Event using Mathematical Model of Hit Phenomena
Generative AI Enhances Team Performance and Reduces Need for Traditional Teams
An asymptotic preserving scheme for the M1model of non-local thermal transport for two-dimensional structured and unstructured meshes
EOP: An Encryption-Obfuscation Solution for Protecting PCBs Against Tampering and Reverse Engineering
Learning Nigerian accent embeddings from speech: preliminary results based on SautiDB-Naija corpus
More Expressive Attention with Negative Weights
Q-Search Trees: An Information-Theoretic Approach Towards Hierarchical Abstractions for Agents with Computational Limitations
Regret Analysis of the Posterior Sampling-based Learning Algorithm for Episodic POMDPs
An Approximation Ratio for Biclustering
Who Uses Personas in Requirements Engineering: The Practitioners' Perspective
Modulation for MIMO Networks with Several Users
Extended Irreducible Binary Sextic Goppa codes
LLM-AR: LLM-powered Automated Reasoning Framework
Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-training for Noisy Slot Filling Task
Improving Model Generalization by On-manifold Adversarial Augmentation in the Frequency Domain
Emerging Nonvolatile Memories for Machine Learning
SmolLM2: When Smol Goes Big - Data-Centric Training of a Small Language Model
Recent Advancements in Defected Ground Structure Based Near-Field Wireless Power Transfer Systems
Interactions of cultures and top people of Wikipedia from ranking of 24 language editions
Component-Wise Boosting of Targets for Multi-Output Prediction
Bayesian model selection and misspecification testing in imaging inverse problems only from noisy and partial measurements
Learning medical triage from clinicians using Deep Q-Learning
PostCam: Camera-Controllable Novel-View Video Generation with Query-Shared Cross-Attention
TNIC: A Trusted NIC Architecture
Collaboration Networks in the Music Industry
An Agentic Framework for Autonomous Metamaterial Modeling and Inverse Design
Algorithms for normalized multiple sequence alignments
Fleet management for ride-pooling with meeting points at scale: a case study in the five boroughs of New York City
The Dead Salmons of AI Interpretability
Minimax rates in outlier-robust estimation of discrete models
A Model Zoo of Vision Transformers
Know What and Know Where: An Object-and-Room Informed Sequential BERT for Indoor Vision-Language Navigation
Differential dissipativity theory for dominance analysis
Learning Grasp Affordance Reasoning through Semantic Relations
Efficient exact enumeration of single-source geodesics on a non-convex polyhedron
Lightweight Record-and-Replay for Intermittent Tests Failures
Automated Model Compression by Jointly Applied Pruning and Quantization
A Survey of Contextual Optimization Methods for Decision Making under Uncertainty
Peer-to-peer and community-based markets: A comprehensive review
Tackling Federated Unlearning as a Parameter Estimation Problem
Waserstein model reduction approach for parametrized flow problems in porous media
UMSNet: An Universal Multi-sensor Network for Human Activity Recognition
Assessing a Safety Case: Bottom-up Guidance for Claims and Evidence Evaluation
Assessing Large Language Models in Comprehending and Verifying Concurrent Programs across Memory Models
FlexiBO: Cost-Aware Multi-Objective Optimization of Deep Neural Networks
Coinductive Validity
VIGraph: Self-supervised Learning for Class-Imbalanced Node Classification
The Optimal Way to Play the Most Difficult Repeated Coordination Games
Distributed Transition System with Tags and Value-wise Metric, for Privacy Analysis
Survey Research in Software Engineering: Problems and Strategies
A Game AI Competition to foster Collaborative AI research and development
A Pytorch Reproduction of Masked Generative Image Transformer
Sandwiching the marginal likelihood using bidirectional Monte Carlo
Efficient Multi-Adapter LLM Serving via Cross-Model KV-Cache Reuse with Activated LoRA
To Bin or not to Bin: Alternative Representations of Mass Spectra
Evolution of Artificial Intelligent Plane
Isolated Channel Vision Transformers: From Single-Channel Pretraining to Multi-Channel Finetuning
Limited-View Photoacoustic Imaging Reconstruction Via High-quality Self-supervised Neural Representation
LongProLIP: A Probabilistic Vision-Language Model with Long Context Text
Team-oriented Consistency Checking of Heterogeneous Engineering Artifacts
Effect of selfish choices in deferred acceptance with short lists
Progressive extension of reinforcement learning action dimension for asymmetric assembly tasks
MGCNN: a learnable multigrid solver for linear PDEs on structured grids
Pushing the Envelope of Low-Bit LLM via Dynamic Error Compensation
Receiver Selection and Transmit Beamforming for Multi-static Integrated Sensing and Communications
Robust estimation via generalized quasi-gradients
CF-GO-Net: A Universal Distribution Learner via Characteristic Function Networks with Graph Optimizers
Automated Diagnosis of Lymphoma with Digital Pathology Images Using Deep Learning
FFR v1.1: Fon-French Neural Machine Translation
Freeform shape optimization of a compact DC photo-electron gun using isogeometric analysis
How to efficiently destroy a network with limited information
Analytic Continuation by Feature Learning
Attend and Select: A Segment Attention based Selection Mechanism for Microblog Hashtag Generation
Catalogs of C and Python Antipatterns by CS1 Students
Multilevel Importance Sampling for McKean-Vlasov Stochastic Differential Equation
Trustworthy Automated Driving through Qualitative Scene Understanding and Explanations
Closed nominal rewriting and efficiently computable nominal algebra equality
Anderson Acceleration as a Krylov Method with Application to Asymptotic Convergence Analysis
What is the central bank of Wikipedia?
Multicore architecture and cache optimization techniques for solving graph problems
Market Clearing for Uncertainty, Generation Reserve, and Transmission Reserve-Part I: Theory
FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models
Neural Inverse Rendering of an Indoor Scene from a Single Image
From Administrative Chaos to Analytical Cohorts: A Three-Stage Normalisation Pipeline for Longitudinal University Administrative Records
Super-Resolution with Deep Convolutional Sufficient Statistics
Object Tracking in Videos: Approaches and Issues
Segmentation of Bruch's Membrane in retinal OCT with AMD using anatomical priors and uncertainty quantification