yusuke1997/dblp-id-title huggingface dataset:
Monoidify! Monoids as a Design Principle for Efficient MapReduce Algorithms
Functional Critic Modeling for Provably Convergent Off-Policy Actor-Critic
Protecting Onion Service Users Against Phishing
AutoTurb: Using Large Language Models for Automatic Algebraic Model Discovery of Turbulence Closure
PromptSafe: Gated Prompt Tuning for Safe Text-to-Image Generation
Face Recognition via Centralized Coordinate Learning
The Complexity of Learning Principles and Parameters Grammars
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures
Prototype Analysis in Hopfield Networks with Hebbian Learning
Facial UV Map Completion for Pose-invariant Face Recognition: A Novel Adversarial Approach based on Coupled Attention Residual UNets
Few-sample Variational Inference of Bayesian Neural Networks with Arbitrary Nonlinearities
Traffic-driven SIR epidemic model on networks
Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention
Transformer^-1: Input-Adaptive Computation for Resource-Constrained Deployment
The cost of reading research. A study of Computer Science publication venues
IoT Smart Plant Monitoring, Watering and Security System
PPL: Point Cloud Supervised Proprioceptive Locomotion Reinforcement Learning for Legged Robots in Crawl Spaces
Referencing between a Head-Mounted Device and Robotic Manipulators
Large language model-based task planning for service robots: A review
Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data
A Submodularity-Based Approach for Multi-Agent Optimal Coverage Problems
Compositional maps for registration in complex geometries
Ultra-fast, programmable, and electronics-free soft robots enabled by snapping metacaps
Optimal Latent Vector Alignment for Unsupervised Domain Adaptation in Medical Image Segmentation
Routing Diverse Crowds in Emergency with Dynamic Grouping
Atlas-ISTN: Joint Segmentation, Registration and Atlas Construction with Image-and-Spatial Transformer Networks
An Element-wise RSAV Algorithm for Unconstrained Optimization Problems
A comprehensive survey on deep active learning and its applications in medical image analysis
Efficient Large Scale Video Classification
PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking?
A Hybrid Systems Model for Simple Manipulation and Self-Manipulation Systems
Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks
Meta-Reinforcement Learning for Timely and Energy-efficient Data Collection in Solar-powered UAV-assisted IoT Networks
Soft-Attention Improves Skin Cancer Classification Performance
Adversarial Images through Stega Glasses
AI-Guided Feature Segmentation Techniques to Model Features from Single Crystal Diamond Growth
CALaMo: a Constructionist Assessment of Language Models
Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition with Multimodal Training
Adobe-MIT submission to the DSTC 4 Spoken Language Understanding pilot task
A new Computer Friendly Notation for Musical Composition in Just Intonation allowing Easy Transposition by Multiplication of Notations
Integration and interoperability accessing electronic information resources in science and technology: the proposal of Brazilian Digital Library
A Hypernetwork-Based Approach to KAN Representation of Audio Signals
Discrete Frechet distance for closed curves
The Scalability for Parallel Machine Learning Training Algorithm: Dataset Matters
Semi-supervised GAN for Classification of Multispectral Imagery Acquired by UAVs
Procurement without Priors: A Simple Mechanism and its Notable Performance
Fast initial guess estimation for digital image correlation
A Survey on Adversarial Machine Learning for Code Data: Realistic Threats, Countermeasures, and Interpretations
Reducing Catastrophic Forgetting in Modular Neural Networks by Dynamic Information Balancing
Tangible Music Interfaces Using Passive Magnetic Tags
Unifying Causal Inference and Reinforcement Learning using Higher-Order Category Theory
K-Track: Kalman-Enhanced Tracking for Accelerating Deep Point Trackers on Edge Devices
Theoretical complexity analysis of many-cores on a single chip
Maneuver Decision-Making Through Proximal Policy Optimization And Monte Carlo Tree Search
Integrated Sensing, Computation, and Communication for UAV-assisted Federated Edge Learning
Linear-Time Maximum Likelihood Decoding of Surface Codes over the Quantum Erasure Channel
Automatic segmentation of texts into units of meaning for reading assistance
ML Mule: Mobile-Driven Context-Aware Collaborative Learning
MetaFollower: Adaptable Personalized Autonomous Car Following
Stable matching as transportation
Geolocating social media posts for emergency mapping
NeutraSum: A Language Model can help a Balanced Media Diet by Neutralizing News Summaries
A maximization problem in tropical mathematics: a complete solution and application examples
Autoregressive Semantic Visual Reconstruction Helps VLMs Understand Better
Confidence intervals for forced alignment boundaries using model ensembles
Diversification-Based Learning in Computing and Optimization
Understanding the Spatial and Temporal Activity Patterns of Subway Mobility Flows
Digital Forensic Investigation of the ChatGPT Windows Application
Unveiling Bias Compensation in Turbo-Based Algorithms for (Discrete) Compressed Sensing
Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing
The SJTU X-LANCE Lab System for CNSRC 2022
Mixture of ELM based experts with trainable gating network
Speeding Up Computers
Bridging the AI Trustworthiness Gap between Functions and Norms
dnaGrinder: a lightweight and high-capacity genomic foundation model
Diminishing Exploration: A Minimalist Approach to Piecewise Stationary Multi-Armed Bandits
The Prototype of Decentralized Multilateral Co-Governing Post-IP Internet Architecture and Its Testing on Operator Networks
Traffic Event Detection as a Slot Filling Problem
ISA-Based Trusted Network Functions And Server Applications In The Untrusted Cloud
Modular Semantics and Characteristics for Bipolar Weighted Argumentation Graphs
A Note About: Critical Review of BugSwarm for Fault Localization and Program Repair
LLMs Can Covertly Sandbag on Capability Evaluations Against Chain-of-Thought Monitoring
On Optimal Group Claims at Voting in a Stochastic Environment
Language Model Perplexity Predicts Scientific Surprise and Transformative Impact
Ray-Based and Graph-Based Methods for Fiber Bundle Boundary Estimation
Collective Semi-Supervised Learning for User Profiling in Social Media
TracE2E: Easily Deployable Middleware for Decentralized Data Traceability
Empirical Analysis of Capacity Investment Solution in Distribution Grids
Computing maximum cliques in $B_2$-EPG graphs
VeritasFi: An Adaptable, Multi-tiered RAG Framework for Multi-modal Financial Question Answering
Introspective Perception for Mobile Robots
Many-Task Computing and Blue Waters
EnFed: An Energy-aware Opportunistic Federated Learning in Resource Constrained Environments for Human Activity Recognition
Simulation Analysis of Exploration Strategies and UAV Planning for Search and Rescue
Getting Better from Worse: Augmented Bagging and a Cautionary Tale of Variable Importance
Deterministic Annealing for Stochastic Variational Inference
A Deep Learning Method for Classification of Biophilic Artworks
Link weights recovery in heterogeneous information networks
Convergence of Nonlinear Observers on R^n with a Riemannian Metric (Part III)
Structure-Aware Decoding Mechanisms for Complex Entity Extraction with Large-Scale Language Models
Online Scheduling of Spark Workloads with Mesos using Different Fair Allocation Algorithms
Loosening the notions of compliance and sub-behaviour in client/server systems
Unbiased Bayes for Big Data: Paths of Partial Posteriors
Refined Wilf-equivalences by Comtet statistics
Influential Sample Selection: A Graph Signal Processing Approach
Computing Floating-Point Errors by Injecting Perturbations
STSA: Federated Class-Incremental Learning via Spatial-Temporal Statistics Aggregation
Revisiting the simulation of quantum Turing machines by quantum circuits
EHealth Technologies Integration with Healthcare Work Activities in Public Hospitals: A Critical Realist Perspective
A quasi-conservative DG-ALE method for multi-component flows using the non-oscillatory kinetic flux
Alternating Directions Implicit Integration in a General Linear Method Framework
DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation
A SAT-based Approach for Specification, Analysis, and Justification of Reductions between NP-complete Problems
Exploring the Impact of Interconnected External Interfaces in Autonomous Vehicleson Pedestrian Safety and Experience
Passivity-Preserving Safety-Critical Control using Control Barrier Functions
CONGRAD:Conflicting Gradient Filtering for Multilingual Preference Alignment
Development of Disciplined Interpretation Using Computational Modeling in the Elementary Science Classroom
Volumetric Non-Invasive Cardiac Mapping for Accessible Global Arrhythmia Characterization
An operator splitting analysis of Wasserstein-Fisher-Rao gradient flows
One-dimensional fragment of first-order logic
Scaling Author Name Disambiguation with CNF Blocking
Integrated Transmission & Distribution System Modeling and Analysis: Need & Advantages
Massive MIMO and Small Cells: Improving Energy Efficiency by Optimal Soft-Cell Coordination
Are consumers ready to pay extra for crowd-shipping e-groceries and why? A hybrid choice analysis for developing economies
Processing of Electronic Health Records using Deep Learning: A review
Data-Oblivious ML Accelerators using Hardware Security Extensions
A Gaussian fixed point random walk
A Mobile Cloud-Based eHealth Scheme
DorFin: WiFi Fingerprint-based Localization Revisited
Constant Delay Traversal of Grammar-Compressed Graphs with Bounded Rank
CoVaxNet: An Online-Offline Data Repository for COVID-19 Vaccine Hesitancy Research
Towards Non-Adversarial Algorithmic Recourse
BID: Boundary-Interior Decoding for Unsupervised Temporal Action Localization Pre-Trainin
Learning Random Kernel Approximations for Object Recognition
A Singular Value Perspective on Model Robustness
Online Decentralized Receding Horizon Trajectory Optimization for Multi-Robot systems
Data-Driven MPC with Data Selection for Flexible Cable-Driven Robotic Arms
Large Language Models For Text Classification: Case Study And Comprehensive Review
Citations versus expert opinions: Citation analysis of Featured Reviews of the American Mathematical Society
On the Robustness of Kernel Goodness-of-Fit Tests
Knowledge Pyramid: A Novel Hierarchical Reasoning Structure for Generalized Knowledge Augmentation and Inference
Computing Research Challenges in Next Generation Wireless Networking
GQE-PRF: Generative Query Expansion with Pseudo-Relevance Feedback
Gradients should stay on Path: Better Estimators of the Reverse- and Forward KL Divergence for Normalizing Flows
On the Cramer-Rao Lower Bound for Spatial Correlation Matrices of Doubly Selective Fading Channels for MIMO OFDM Systems
Mimetic Neural Networks: A unified framework for Protein Design and Folding
Finding Even Cycles Faster via Capped k-Walks
Is Vibe Coding Safe? Benchmarking Vulnerability of Agent-Generated Code in Real-World Tasks
TrackMPNN: A Message Passing Graph Neural Architecture for Multi-Object Tracking
DepthFormer: Exploiting Long-Range Correlation and Local Information for Accurate Monocular Depth Estimation
DELA: A Novel Approach for Detecting Errors Induced by Large Atomic Condition Numbers
Massively Parallel Construction of Radix Tree Forests for the Efficient Sampling of Discrete Probability Distributions
STDArm: Transferring Visuomotor Policies From Static Data Training to Dynamic Robot Manipulation
Integrated representational signatures strengthen specificity in brains and models
Sim2Plan: Robot Motion Planning via Message Passing between Simulation and Reality
Fast-Response Variable-Frequency Series-Capacitor Buck VRM Through Integrated Control Approaches
Investigating the Effectiveness of Representations Based on Pretrained Transformer-based Language Models in Active Learning for Labelling Text Datasets
RocketStack: A level-aware deep recursive ensemble learning framework with exploratory feature fusion and model pruning dynamics
A Robust Quadruped Robot with Twisting Waist for Flexible Motions
A Computational Approach to Measure Empathy and Theory-of-Mind from Written Texts
Probing BERT for German Compound Semantics
FreDo: Frequency Domain-based Long-Term Time Series Forecasting
Meshfree implementation of the cardiac monodomain model through the Fragile Points Method
Transforming Engineering Education Using Generative AI and Digital Twin Technologies
On the Convex Geometry of Weighted Nuclear Norm Minimization
Universal Codes from Switching Strategies
A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning
Quantile-Optimal Policy Learning under Unmeasured Confounding
How Grounded is Wikipedia? A Study on Structured Evidential Support
Bounded Dynamic Level Maintenance for Efficient Logic Optimization
A Comprehensive Guide to Differential Privacy: From Theory to User Expectations
An algorithm for motif-based network design
Optical Reservoir Computing using multiple light scattering for chaotic systems prediction
Trustworthy AI in the Agentic Lakehouse: from Concurrency to Governance
An Algorithm for a Modification of the Shortest Common Superstring Problem
Curriculum Learning for Cross-Lingual Data-to-Text Generation With Noisy Data
Revisiting Data Augmentation for Rotational Invariance in Convolutional Neural Networks
KGLink: A column type annotation method that combines knowledge graph and pre-trained language model
Optimized Conflict Management for Urban Air Mobility Using Swarm UAV Networks
Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding
Federated Spatiotemporal Graph Learning for Passive Attack Detection in Smart Grids
Interactive embodied evolution for socially adept Artificial General Creatures
Dense Error Map Estimation for MRI-Ultrasound Registration in Brain Tumor Surgery Using Swin UNETR
Communications-Aware Robotics: Challenges and Opportunities
RecXplainer: Post-Hoc Attribute-Based Explanations for Recommender Systems
Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph Reasoning
Imbalanced Open Set Domain Adaptation via Moving-threshold Estimation and Gradual Alignment
A Keyframe-Based Approach for Auditing Bias in YouTube Shorts Recommendations
A Dynamic Overlay Supporting Just-In-Time Assembly to Construct Customized Hardware Accelerators
Stationary Policies are Optimal in Risk-averse Total-reward MDPs with EVaR
SFD2: Semantic-guided Feature Detection and Description
The CARE Dataset for Affective Response Detection
Patterns of Multistakeholder Recommendation
Web Content Signing with Service Workers
Learning Position-Aware Implicit Neural Network for Real-World Face Inpainting
Securing Medical Images by Watermarking Using DWT DCT and SVD
LISBET: a self-supervised Transformer model for the automatic segmentation of social behavior motifs
Open vs Closed Access Femtocells in the Uplink
Document clustering with evolved multiword search queries
Robust Backdoor Removal by Reconstructing Trigger-Activated Changes in Latent Representation
The hardness of quantum spin dynamics
Multi-view registration of unordered range scans by fast correspondence propagation of multi-scale descriptors
Sim-to-Real Deep Reinforcement Learning based Obstacle Avoidance for UAVs under Measurement Uncertainty
User-Intent-Driven Semantic Communication via Adaptive Deep Understanding
Fast, Accurate and Interpretable Time Series Classification Through Randomization
Entropy, Triangulation, and Point Location in Planar Subdivisions
Discrete Multimodal Transformers with a Pretrained Large Language Model for Mixed-Supervision Speech Processing
Optimal Strategies in Weighted Limit Games
Hierarchy of Scales in Language Dynamics
Deep Co-supervision and Attention Fusion Strategy for Automatic COVID-19 Lung Infection Segmentation on CT Images
Dazed & Confused: A Large-Scale Real-World User Study of reCAPTCHAv2
Performance Based Evaluation of Various Machine Learning Classification Techniques for Chronic Kidney Disease Diagnosis
Capturing an Omnidirectional Evader in Convex Environments using a Differential Drive Robot
Deep Anomaly Detection in Text
Fairness in AI-Driven Recruitment: Challenges, Metrics, Methods, and Future Directions
IAMAP: Unlocking Deep Learning in QGIS for non-coders and limited computing resources
An Optimizer's Approach to Stochastic Control Problems with Nonclassical Information Structures
A Nonlinear Weighted Total Variation Image Reconstruction Algorithm for Electrical Capacitance Tomography
Detection and Amelioration of Social Engineering Vulnerability in Contingency Table Data using an Orthogonalised Log-linear Analysis
Neural Canonical Transformation with Symplectic Flows
SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds
C2T: A Classifier-Based Tree Construction Method in Speculative Decoding
Planning Based System for Child-Robot Interaction in Dynamic Play Environments
Normalized Activation Function: Toward Better Convergence
Real-Time Camera Pose Estimation for Sports Fields
Fast Compressed Sensing SAR Imaging based on Approximated Observation
A high accuracy and low complexity quality control method for image compression
Parallel square-root statistical linear regression for inference in nonlinear state space models
Solving Convex-Concave Problems with 𝒪(ε -4/7 ) Second-Order Oracle Complexity
A Statistical Model of Bipartite Networks: Application to Cosponsorship in the United States Senate
Institutionalization of Digital Trade in the Russian Federation: Countdown
Embedding Security into Ferroelectric FET Array via In-Situ Memory Operation
Robust Collision Detection for Robots with Variable Stiffness Actuation by Using MAD-CNN: Modularized-Attention-Dilated Convolutional Neural Network
Minimum-Time Planar Paths with up to Two Constant Acceleration Inputs and L 2 Velocity and Acceleration Constraints
Structural Similarity based Anatomical and Functional Brain Imaging Fusion
Achieving non-discrimination in data release
Fast Multiplication of Matrices with Decay
Coherence of Type Class Resolution
NavSpace: How Navigation Agents Follow Spatial Intelligence Instructions
Recent Developments from Attribute Profiles for Remote Sensing Image Classification
Thermal switch of oscillation frequency in Belousov-Zhabotinsky liquid marbles
Properties of Laplacian Pyramids for Extension and Denoising
EIDSeg: A Pixel-Level Semantic Segmentation Dataset for Post-Earthquake Damage Assessment from Social Media Images
Replication via Invalidating the Applicability of the Fixed Point Theorem
Envy-Free and Pareto-Optimal Allocations for Asymmetric Agents
Flexible Authentication Technique for Ubiquitous Wireless Communication using Passport and Visa Tokens
Phase Transition in Unrestricted Random SAT
Towards a Networks-of-Networks Framework for Cyber Security
TranSUN: A Preemptive Paradigm to Eradicate Retransformation Bias Intrinsically from Regression Models in Recommender Systems
Investigating User Perspectives on Differentially Private Text Privatization
What's Next, Cloud? A Forensic Framework for Analyzing Self-Hosted Cloud Storage Solutions
Colored fused filament fabrication
IEEE 802.11ah: The Wi-Fi Approach for M2M Communications
A constructive proof presenting languages in $Σ_2^P$ that cannot be decided by circuit families of size $n^k$
Codes with structured Hamming distance in graph families
Design and Implementation of Hedge Algebra Controller using Recursive Semantic Values for Cart-pole System
Cross-Patient Pseudo Bags Generation and Curriculum Contrastive Learning for Imbalanced Multiclassification of Whole Slide Image
Intelligent Learning Rate Distribution to reduce Catastrophic Forgetting in Transformers
Average-case performance of heuristics for three-dimensional assignment problems
Large Families of Optimal Two-Dimensional Optical Orthogonal Codes
Spike Event Based Learning in Neural Networks
Do computer vision foundation models learn the low-level characteristics of the human visual system?
Deep Multi-View Spatiotemporal Virtual Graph Neural Network for Significant Citywide Ride-hailing Demand Prediction
Service-Oriented Fast Frequency Response from Flexible Loads and Energy Storage in Low-Inertia Power Systems
Resumption-based big-step and small-step interpreters for While with interactive I/O
GraSP: Simple yet Effective Graph Similarity Predictions
Finding Possible and Necessary Winners in Spatial Voting with Partial Information
Spatial-Frequency Attention for Image Denoising
Mathematical Interpretation between Genotype and Phenotype Spaces and Induced Geometric Crossovers
Algorithms in Linear Algebraic Groups
On Evaluating the Generalization of LSTM Models in Formal Languages
Detection of curved lines with B-COSFIRE filters: A case study on crack delineation
Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging
An Efficient Multitask Learning Architecture for Affective Vocal Burst Analysis
Learning to Tune XGBoost with XGBoost
PEAR: A Robust and Flexible Automation Framework for Ptychography Enabled by Multiple Large Language Model Agents
pLMFPPred: a novel approach for accurate prediction of functional peptides integrating embedding from pre-trained protein language model and imbalanced learning
Can I trust you more? Model-Agnostic Hierarchical Explanations
Analyzing Architectures for Neural Machine Translation Using Low Computational Resources
Inventory Control Using a Lévy Process for Evaluating Total Costs under Intermittent Demand
Field theory with the Maxima computer algebra system
Playing Tic-Tac-Toe Games with Intelligent Single-pixel Imaging
Learning Geodesic-Aware Local Features from RGB-D Images
MParrotTTS: Multilingual Multi-speaker Text to Speech Synthesis in Low Resource Setting
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation
Security for Cyber-Physical Systems: Leveraging Cellular Networks and Fog Computing
Towards Energysheds: A Technical Definition and Cooperative Planning Framework
Accelerating the Sinkhorn algorithm for sparse multi-marginal optimal transport by fast Fourier transforms
Deep Learning Domain Adaptation to Understand Physico-Chemical Processes from Fluorescence Spectroscopy Small Datasets: Application to Ageing of Olive Oil
CogniEdit: Dense Gradient Flow Optimization for Fine-Grained Image Editing
Well-possedness of the continuous Neighborhood filter and its reformulation through the decreasing rearrangement
Improving annotator selection in Active Learning using a mood and fatigue-aware Recommender System
Evolutionary Discovery of Heuristic Policies for Traffic Signal Control
Overview of ISM bands and Software-defined Radio Experimentation
A New Integrated FQFD Approach for Improving Quality and Reliability of Solar Drying Systems
A Design and an Implementation of an Inverse Kinematics Computation in Robotics Using Real Quantifier Elimination based on Comprehensive Gröbner Systems
Searching and Indexing Genomic Databases via Kernelization
Multi-Agent Deep Reinforcement Learning for Cooperative and Competitive Autonomous Vehicles using AutoDRIVE Ecosystem
Masked AutoEncoder for Graph Clustering without Pre-defined Cluster Number k
FlexQ: Efficient Post-training INT6 Quantization for LLM Serving via Algorithm-System Co-Design
A comparative study of two globally convergent numerical methods for acoustic tomography
Luxical: High-Speed Lexical-Dense Text Embeddings
SIMARA: a database for key-value information extraction from full pages
Dilated Inception U-Net (DIU-Net) for Brain Tumor Segmentation
HumanEval-V: Evaluating Visual Understanding and Reasoning Abilities of Large Multimodal Models Through Coding Tasks
Learning Digital Terrain Models from Point Clouds: ALS2DTM Dataset and Rasterization-based GAN
Deep Hedging under Rough Volatility
Improving Multimodal Hateful Meme Detection Exploiting LMM-Generated Knowledge