yusuke1997/dblp-id-title huggingface dataset:
Discovering Spatio-Temporal Action Tubes
State machine models of timing and circuit design
Personalized speech enhancement combining band-split RNN and speaker attentive module
MOS: Mitigating Optical-SAR Modality Gap for Cross-Modal Ship Re-Identification
Improved Additive Approximation Algorithms for APSP
Falling balls in a viscous fluid with contact: Comparing numerical simulations with experimental data
Skin cancer detection based on deep learning and entropy to detect outlier samples
RealBench: A Chinese Multi-image Understanding Benchmark Close to Real-world Scenarios
On the size of data structures used in symbolic model checking
On the Higuchi fractal dimension of invariant measures for countable idempotent iterated function systems
Spectrum Sharing using Deep Reinforcement Learning in Vehicular Networks
The Information Bottleneck's Ordinary Differential Equation: First-Order Root-Tracking for the IB
FOCUS: Unified Vision-Language Modeling for Interactive Editing Driven by Referential Segmentation
Stochastic Inverse Reinforcement Learning
DR-MPC: Deep Residual Model Predictive Control for Real-world Social Navigation
Autonomous and Distributed Synchronization and Restoration of an Islanded Network of Microgrids
Nonparametric likelihood-free inference with Jensen-Shannon divergence for simulator-based models with categorical output
ETAD: A Unified Framework for Efficient Temporal Action Detection
Economic Dispatch of an Integrated Microgrid Based on the Dynamic Process of CCGT Plant
Controlling Reversibility in Reversing Petri Nets with Application to Wireless Communications
Do Pre-trained Vision-Language Models Encode Object States?
Nonlinear Reduction using the Extended Group Finite Element Method
Variational Integrator Networks for Physically Meaningful Embeddings
Copy-Augmented Representation for Structure Invariant Template-Free Retrosynthesis
Dynamical optical flow of saliency maps for predicting visual attention
Rate distortion comparison of a few gradient quantizers
A spiking photonic neural network of 40.000 neurons, trained with rank-order coding for leveraging sparsity
IIT Kanpur Consulting Group: Using Machine Learning and Management Consulting for Social Good
Optimal Approximation Rates and Metric Entropy of ReLU$^k$ and Cosine Networks
Comparison of nonlinear solvers within continuation method for steady-state variably saturated groundwater flow modeling
Behaviour Preserving Extensions of Univariate and Bivariate Functions
Randomized greedy algorithms for independent sets and matchings in regular graphs: Exact results and finite girth corrections
A Critical Note on the Evaluation of Clustering Algorithms
True Self-Supervised Novel View Synthesis is Transferable
A Sequential Operator-Splitting Framework for Exploration of Nonconvex Trajectory Optimization Solution Spaces
Towards Fully-fledged GPU Multitasking via Proactive Memory Scheduling
Submodular Goal Value of Boolean Functions
Queue-Based Random-Access Algorithms: Fluid Limits and Stability Issues
Binary words avoiding a pattern and marked succession rule
COOKIEGRAPH: Measuring and Countering First-Party Tracking Cookies
GRVFL-2V: Graph Random Vector Functional Link Based on Two-View Learning
Modelling crypto markets by multi-agent reinforcement learning
A Durable Flash Memory Search Tree
Task Weighting through Gradient Projection for Multitask Learning
Multi-objective Differential Evolution with Helper Functions for Constrained Optimization
Pretraining Strategies using Monolingual and Parallel Data for Low-Resource Machine Translation
Understanding Deep Neural Function Approximation in Reinforcement Learning via ε-Greedy Exploration
Single Image Super-resolution with a Parameter Economic Residual-like Convolutional Neural Network
CaseNet: Content-Adaptive Scale Interaction Networks for Scene Parsing
Targeted Therapy in Data Removal: Object Unlearning Based on Scene Graphs
Holographic Algorithm with Matchgates Is Universal for Planar $\#$CSP Over Boolean Domain
Merge Now, Regret Later: The Hidden Cost of Model Merging is Adversarial Transferability
FPTQ: Fine-grained Post-Training Quantization for Large Language Models
FRAPPE: F̲ast R̲a̲nk A̲p̲p̲roximation with E̲xplainable Features for Tensors
Design and Analysis of Successive Decoding with Finite Levels for the Markov Channel
Paths to Equilibrium in Normal-Form Games
MDD: A Dataset for Text-and-Music Conditioned Duet Dance Generation
WiFinger: Fingerprinting Noisy IoT Event Traffic Using Packet-level Sequence Matching
Quantum-secured data transmission in urban fibre-optic communication lines
Be Causal: De-biasing Social Network Confounding in Recommendation
Review4Repair: Code Review Aided Automatic Program Repairing
On the tractability of Nash equilibrium
On the Generalization and Adaption Performance of Causal Models
Integrated Sensing, Computing, Communication, and Control for Time-Sequence-Based Semantic Communications
QIRAL: A High Level Language for Lattice QCD Code Generation
Non-invasive Self-attention for Side Information Fusion in Sequential Recommendation
Software Citation Implementation Challenges
Squared chromatic and stability numbers without claws or large cliques
Controlling Multimodal LLMs via Reward-guided Decoding
Traveling Front Solutions to Directed Diffusion Limited Aggregation Digital Search Trees and the Lempel-Ziv Data Compression Algorithm
ETO Meets Scheduling: Learning Key Knowledge from Single-Objective Problems to Multi-Objective Problem
Innovation Representation of Stochastic Processes with Application to Causal Inference
Neuron-Level Analysis of Cultural Understanding in Large Language Models
Scalene: Scripting-Language Aware Profiling for Python
Conan-Embedding-v2: Training an LLM from Scratch for Text Embeddings
Bounds on the Error Probability of Raptor Codes under Maximum Likelihood Decoding
Concurrent Encryption and Authentication for Wireless Networks using Compressed Sensing
Semi-Supervised Translation with MMD Networks
Overcoming LLM Challenges using RAG-Driven Precision in Coffee Leaf Disease Remediation
Convolutional neural networks for valid and efficient causal inference
A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows
Performance Comparison of Link, Node and Zone Disjoint Multi-path Routing Strategies and Minimum Hop Single Path Routing for Mobile Ad Hoc Networks
Poisoning Attacks in Federated Edge Learning for Digital Twin 6G-enabled IoTs: An Anticipatory Study
Accelerating Time-Optimal Trajectory Planning for Connected and Automated Vehicles with Graph Neural Networks
Beyond Feature Importance: Feature Interactions in Predicting Post-Stroke Rigidity with Graph Explainable AI
A Spatially Dependent Probabilistic Model for House Hunting in Ant Colonies
Full-Head Segmentation of MRI with Abnormal Brain Anatomy: Model and Data Release
Solving Weighted Voting Game Design Problems Optimally: Representations, Synthesis, and Enumeration
Adversaries in Online Learning Revisited: with applications in Robust Optimization and Adversarial training
Cyclic Policy Distillation: Sample-Efficient Sim-to-Real Reinforcement Learning with Domain Randomization
Scalar conservation laws with stochastic discontinuous flux function
Adaptive and oblivious statistical adversaries are equivalent
Imitation learning based on entropy-regularized forward and inverse reinforcement learning
Robot Navigation in a Crowd by Integrating Deep Reinforcement Learning and Online Planning
Simple Agents Outperform Experts in Biomedical Imaging Workflow Optimization
Evaluating the Effectiveness of Artificial Intelligence in Predicting Adverse Drug Reactions among Cancer Patients: A Systematic Review and Meta-Analysis
An Effective Leaf Recognition Using Convolutional Neural Networks Based Features
Leveraging Parallel Data Processing Frameworks with Verified Lifting
SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model
Water quality polluted by total suspended solids classified within an Artificial Neural Network approach
Entropy Regularized Iterative Weighted Shrinkage-Thresholding Algorithm (ERIWSTA): An Application to CT Image Restoration
Gradient-based Automatic Per-Weight Mixed Precision Quantization for Neural Networks On-Chip
Finding 3D Positions of Distant Objects from Noisy Camera Movement and Semantic Segmentation Sequences
Stereo Camera Visual SLAM with Hierarchical Masking and Motion-state Classification at Outdoor Construction Sites Containing Large Dynamic Objects
Isotuning With Applications To Scale-Free Online Learning
Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
Secure State Estimation Under Sensor Attacks: A Satisfiability Modulo Theory Approach
A New Multipoint Symmetric Secant Method with a Dense Initial Matrix
Similarity-aware Positive Instance Sampling for Graph Contrastive Pre-training
A quantitative comparison of high-order asymptotic-preserving and asymptotically-accurate IMEX methods for the Euler equations with non-ideal gases
Sentiment Analysis on the young people's perception about the mobile Internet costs in Senegal
Improved weak convergence for the long time simulation of Mean-field Langevin equations
Solved in Unit Domain: JacobiNet for Differentiable Coordinate Transformations
Assumption-free fidelity bounds for hardware noise characterization
A Surrogate-Assisted Extended Generative Adversarial Network for Parameter Optimization in Free-Form Metasurface Design
Economics of nuclear power in decarbonized energy systems
Tensor Computing Interface: An Application-Oriented, Lightweight Interface for Portable High-Performance Tensor Network Applications
Belief Space Planning: A Covariance Steering Approach
The Dilemma of Electricity Grid Expansion Planning in Areas at the Risk of Wildfire
Detailed Small-Signal Stability Analysis of the Cigré High-Voltage Network Penetrated by Grid-Following Inverter-Based Resources
Computational homogenization of fibrous piezoelectric materials
The geometry of the deep linear network
TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery
Fast and accurate prediction of numerical relativity waveforms from binary black hole mergers using surrogate models
Bayes-optimal limits in structured PCA, and how to reach them
Telegram as a Battlefield: Kremlin-related Communications during the Russia-Ukraine Conflict
ProtoAnomalyNCD: Prototype Learning for Multi-class Novel Anomaly Discovery in Industrial Scenarios
Scaling Distributed Deep Learning Workloads beyond the Memory Capacity with KARMA
Hopf algebra structures for the backward error analysis of ergodic stochastic differential equations
Long-Term Prediction of Natural Video Sequences with Robust Video Predictors
Evolutionary Multi Objective Optimization Algorithm for Community Detection in Complex Social Networks
Medical Multimodal Classifiers Under Scarce Data Condition
GeoReach: An Efficient Approach for Evaluating Graph Reachability Queries with Spatial Range Predicates
An Empirical Study of OpenAI API Discussions on Stack Overflow
Five-Lee-weight linear codes over F q +uF q
Exact Methods for Multistage Estimation of a Binomial Proportion
An adaptive dynamical low rank method for the nonlinear Boltzmann equation
Text2Mem: A Unified Memory Operation Language for Memory Operating System
A Secure Experimentation Sandbox for the design and execution of trusted and secure analytics in the aviation domain
Class Teaching for Inverse Reinforcement Learners
Fourier-Gegenbauer Pseudospectral Method for Solving Periodic Fractional Optimal Control Problems
An Empirical Study on Failed Error Propagation in Java Programs with Real Faults
A Low-Code Methodology for Developing AI Kiosks: a Case Study with the DIZEST Platform
Quantifying Polarization: A Comparative Study of Measures and Methods
Toward Intention Discovery for Early Malice Detection in Bitcoin
Exploring Boundary of GPT-4V on Marine Analysis: A Preliminary Case Study
Spatial community structure impedes language amalgamation in a population-based iterated learning model
Dynamics of Adversarial Attacks on Large Language Model-Based Search Engines
A Comprehensive Framework to Operationalize Social Stereotypes for Responsible AI Evaluations
Handover Management in Dense Cellular Networks: A Stochastic Geometry Approach
Texture Image Synthesis Using Spatial GAN Based on Vision Transformers
Coherence-Based Distributed Document Representation Learning for Scientific Documents
Knee Cartilage Segmentation Using Diffusion-Weighted MRI
Integrated and Lightweight Design of Electro-hydraulic Ankle Prosthesis
Quantum algorithms for testing Boolean functions
A Step Forward To Component-based Software Cost Estimation in Object-oriented Environment
Simple Radiology VLLM Test-time Scaling with Thought Graph Traversal
Learning from Videos for 3D World: Enhancing MLLMs with 3D Vision Geometry Priors
Bounded-Confidence Models of Opinion Dynamics with Neighborhood Effects
Optimize Incompatible Parameters through Compatibility-aware Knowledge Integration
Compressive Sensing via Convolutional Factor Analysis
VeriLA: A Human-Centered Evaluation Framework for Interpretable Verification of LLM Agent Failures
MKDTI: Predicting drug-target interactions via multiple kernel fusion on graph attention network
Selective Underfitting in Diffusion Models
Sparse super resolution is Lipschitz continuous
A Physics-Informed Machine Learning Approach for Solving Heat Transfer Equation in Advanced Manufacturing and Engineering Applications
TACOS: Task Agnostic Continual Learning in Spiking Neural Networks
Attentive Tree-structured Network for Monotonicity Reasoning
Performance analysis of weighted low rank model with sparse image histograms for face recognition under lowlevel illumination and occlusion
Economical Accommodations for Neurodivergent Students in Software Engineering Education: Experiences from an Intervention in Four Undergraduate Courses
The role of media memorability in facilitating startups' access to venture capital funding
UAV-Assisted Resilience in 6G and Beyond Network Energy Saving: A Multi-Agent DRL Approach
On Recognizable Languages of Infinite Pictures
Outage Performance and Optimal Design of MIMO-NOMA Enhanced Small Cell Networks With Imperfect Channel-State Information
A Geometric Method for Base Parameter Analysis in Robot Inertia Identification Based on Projective Geometric Algebra
Variational Inference Background Subtraction Algorithm for in-Camera Acceleration in Thermal Imagery
Empirical Review of Java Program Repair Tools: A Large-Scale Experiment on 2, 141 Bugs and 23, 551 Repair Attempts
Using Satellite Imagery and Machine Learning to Estimate the Livelihood Impact of Electricity Access
Composable Design of Multiphase Fluid Dynamics Solvers in Flash-X
Non-contrastive approaches to similarity learning: positive examples are all you need
Large Language Models for Multimodal Deformable Image Registration
Towards Physarum robots: computing and manipulating on water surface
Thread extraction for polyadic instruction sequences
Assessing the Effectiveness of Driver Training Interventions in Improving Safe Engagement with Vehicle Automation Systems
Large Language Models Achieve Gold Medal Performance at the International Olympiad on Astronomy & Astrophysics (IOAA)
Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends
Leveraging Knowledge Bases And Parallel Annotations For Music Genre Translation
Ripple Down Rules for Question Answering
FGCE: Feasible Group Counterfactual Explanations for Auditing Fairness
FIRL: Fast Imitation and Policy Reuse Learning
Physical requirements for scaling up network-based biocomputation
From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future
Robust and Efficient Communication in Multi-Agent Reinforcement Learning
Filamentary Extension of the Mem-Con theory of Memristance and its Application to Titanium Dioxide Sol-Gel Memristors
Orthogonal Laurent polynomials of two real variables
Temporally-Consistent Koopman Autoencoders for Forecasting Dynamical Systems
Dataset for Investigating Anomalies in Compute Clusters
Optimization Algorithm Synthesis based on Integral Quadratic Constraints: A Tutorial
Sanitized Clustering against Confounding Bias
Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences
Can a Computer Laugh ?
Mobile Quantification and Therapy Course Tracking for Gait Rehabilitation
Robust Distribution Alignment for Industrial Anomaly Detection under Distribution Shift
Grassmannian Learning: Embedding Geometry Awareness in Shallow and Deep Learning
A Fast Multigrid Algorithm for Energy Minimization Under Planar Density Constraints
Study of First-Order Thermal Sigma-Delta Architecture for Convective Accelerometers
Attentive activation function for improving end-to-end spoofing countermeasure systems
Edge-preserving Image Denoising via Multi-scale Adaptive Statistical Independence Testing
Batched Predictors Generalize within Distribution
Breaking the 2^n-Barrier for Irredundance: A Parameterized Route to Solving Exact Puzzles
Emotion and color in paintings: a novel temporal and spatial quantitative perspective
Sketched Floor plans versus SLAM maps: A Comparison
The dark side of the metaverse: The role of gamification in event virtualization
Similarity Analysis in Automatic Performance Debugging of SPMD Parallel Programs
Risk-aware Urban Air Mobility Network Design with Overflow Redundancy
Multiwinner Analogues of Plurality Rule: Axiomatic and Algorithmic Perspectives
A Generalizable Approach to Learning Optimizers
Generalized Bruhat decomposition in commutative domains
AthleticsPose: Authentic Sports Motion Dataset on Athletic Field and Evaluation of Monocular 3D Pose Estimation Ability
GPU-Accelerated Interpretable Generalization for Rapid Cyberattack Detection and Forensics
HIEGNet: A Heterogenous Graph Neural Network Including the Immune Environment in Glomeruli Classification
Adaptive-Sensorless Monitoring of Shipping Containers
Nimble@ITCEcnoGrid: A Grid in Research Domain for Weather Forecasting
Digital Distractions from the Point of View of Higher Education Students
Robot-Assisted Drone Recovery on a Wavy Surface Using Error-State Kalman Filter and Receding Horizon Model Predictive Control
Contactless Cardiac Arrest Detection Using Smart Devices
Accelerating Data Access for Single Node in Distributed Storage Systems via MDS Codes
BFA: Best-Feature-Aware Fusion for Multi-View Fine-grained Manipulation
Secure network coding with adaptive and active attack
Automated Predicate Abstraction for Real-Time Models
A Model for Remote Access and Protection of Smartphones using Short Message Service
On efficient numerical solution of linear algebraic systems arising in goal-oriented error estimates
Augmented Understanding and Automated Adaptation of Curation Rules
Multimodal Fine-grained Context Interaction Graph Modeling for Conversational Speech Synthesis
Knowledge-Augmented Question Error Correction for Chinese Question Answer System with QuestionRAG
Characterizing Task Completion Latencies in Fog Computing
Alternating Minimization for Computed Tomography with Unknown Geometry Parameters
DTG-Net: Differentiated Teachers Guided Self-Supervised Video Action Recognition
Adaptation dynamique de services
Reflectionless discrete perfectly matched layers for higher-order finite difference schemes
Case-Based Reasoning for Assisting Domain Experts in Processing Fraud Alerts of Black-Box Machine Learning Models
Attributes2Classname: A discriminative model for attribute-based unsupervised zero-shot learning
Hybrid Fuzzing with LLM-Guided Input Mutation and Semantic Feedback
Joint Multi-User DNN Partitioning and Computational Resource Allocation for Collaborative Edge Intelligence
Design of robust H_inf fuzzy output feedback controller for affine nonlinear systems: Fuzzy Lyapunov function approach
Cross-modal Diffusion Modelling for Super-resolved Spatial Transcriptomics
Characterizing and Predicting Supply-side Engagement on Crowd-contributed Video Sharing Platforms
Consistency Prototype Module and Motion Compensation for Few-Shot Action Recognition (CLIP-CPM 2 C)
A Comparative Study of Computational Aesthetics
Unlocking Analytical Value from Social Media and User Generated Content
Increasing Evolvability Considered as a Large-Scale Trend in Evolution
Ensembling Multilingual Transformers for Robust Sentiment Analysis of Tweets
From Captions to Keyframes: KeyScore for Multimodal Frame Scoring and Video-Language Understanding
Analysis of Generalized Entropies in Mutual Information Medical Image Registration
Modular Pet Feeding Device
LTE Cellular Networks Packet Scheduling Algorithms in Downlink and Uplink Transmission, A Survey
Word Embeddings: Stability and Semantic Change
Pyramid Feature Selective Network for Saliency detection
Hybrid Architecture for Real-Time Video Anomaly Detection: Integrating Spatial and Temporal Analysis
Evolutionary game theory: the mathematics of evolution and collective behaviours
Your Computer is Leaking
Subspace Expanders and Matrix Rank Minimization
Arsenal of Hardware Prefetchers
Deep Learning for Simultaneous Inference of Hydraulic and Transport Properties
Detecting Syllable-Level Pronunciation Stress with A Self-Attention Model
Combining Heterogeneous Classifiers for Relational Databases
Pivot Sampling in Java 7's Dual-Pivot Quicksort
Finite de Finetti bounds in relative entropy
Hierarchical Jacobi Iteration for Structured Matrices on GPUs using Shared Memory
Scalable computation of thermomechanical turbomachinery problems
SemiAdv: Query-Efficient Black-Box Adversarial Attack with Unlabeled Images
Flow-Aware Diffusion for Real-Time VR Restoration: Enhancing Spatiotemporal Coherence and Efficiency
LiSTAR: Ray-Centric World Models for 4D LiDAR Sequences in Autonomous Driving
Adopting Explainable-AI to investigate the impact of urban morphology design on energy and environmental performance in dry-arid climates
TSAL: Few-shot Text Segmentation Based on Attribute Learning
Looking Forward: Challenges and Opportunities in Agentic AI Reliability
EPiC: Efficient Video Camera Control Learning with Precise Anchor-Video Guidance
Visual Graph Mining
A New Feature Selection Method for LogNNet and its Application for Diagnosis and Prognosis of COVID-19 Disease Using Routine Blood Values
CDER: Collaborative Evidence Retrieval for Document-level Relation Extraction
Detection of Tomato Ripening Stages using Yolov3-tiny
The Pursuit of Diversity: Multi-Objective Testing of Deep Reinforcement Learning Agents
Stability and Robustness of Distributed Suboptimal Model Predictive Control
Quantum Realization of the Finite Element Method
LDPC Codes over Gaussian Multiple Access Wiretap Channel
On the role of technology in human-dog relationships: a future filled with dreams or nightmares?
GUIRoboTron-Speech: Towards Automated GUI Agents Based on Speech Instructions
MRF-ZOOM: A Fast Dictionary Searching Algorithm for Magnetic Resonance Fingerprinting
AI-augmented histopathologic review using image analysis to optimize DNA yield and tumor purity from FFPE slides
Complex System Exploration with Interactive Human Guidance
Continuous Function Structured in Multilayer Perceptron for Global Optimization
Combinatorial Auctions without Money
Automated Verification of CountDownLatch
ADS-ME: Anomaly Detection System for Micro-expression Spotting
Risk sensitive nonlinear optimal control with measurement uncertainty
RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction
Using an Expert Panel to Validate the Malaysian SMEs-Software Process Improvement Model (MSME-SPI)
A Dataset for Improved RGBD-based Object Detection and Pose Estimation for Warehouse Pick-and-Place
Dynamic Pricing of Power in Smart-Grid Networks
Type Inference for Deadlock Detection in a Multithreaded Polymorphic Typed Assembly Language
Justiça Algorítmica: Instrumentalização, Limites Conceituais e Desafios na Engenharia de Software
LegalChainReasoner: A Legal Chain-guided Framework for Criminal Judicial Opinion Generation
A Flexible Framework for Anomaly Detection via Dimensionality Reduction
DDoS attack detection method based on feature extraction of deep belief network
How to Compute Using Quantum Walks