yusuke1997/dblp-id-title huggingface dataset:
Iterative Normalization: Beyond Standardization towards Efficient Whitening
Dual gradient method for ill-posed problems using multiple repeated measurement data
Video Person Re-identification using Attribute-enhanced Features
Debiased Kernel Methods
Digital Fingerprinting of Microstructures
The value and credits of n-authors publications
Towards a modeling and analysis environment for industrial IoT systems
One Joke to Rule them All? On the (Im)possibility of Generalizing Humor
Observation-Driven Configuration of Complex Software Systems
MVPBench: A Benchmark and Fine-Tuning Framework for Aligning Large Language Models with Diverse Human Values
Examining the Mental Health Impact of Misinformation on Social Media Using a Hybrid Transformer-Based Approach
Cyclical Kernel Adaptive Metropolis
Data Race Detection on Compressed Traces
From Detection to Anticipation: Online Understanding of Struggles across Various Tasks and Activities
A modularity comparison of Long Short-Term Memory and Morphognosis neural networks
Visualization of Knowledge Graphs with Embeddings: an Essay on Recent Trends and Methods
Zero-Shot Recognition using Dual Visual-Semantic Mapping Paths
Analysis of hydrocyclone performance based on information granulation theory
Continuous-Time Robust Control for Cancer Treatment Robots
COVID-19's Unequal Toll: An assessment of small business impact disparities with respect to ethnorace in metropolitan areas in the US using mobility data
Matrix functions via linear systems built from continued fractions
Investigation of risk-aware MDP and POMDP contingency management autonomy for UAS
Neural Networks Use Distance Metrics
CAGAN: Text-To-Image Generation with Combined Attention GANs
Infrared face recognition: a literature review
Understanding who uses Reddit: Profiling individuals with a self-reported bipolar disorder diagnosis
Benchmarking Hallucination in Large Language Models based on Unanswerable Math Word Problem
Impact Factors for Computer Science Conferences
Self-stabilizing TDMA Algorithms for Wireless Ad-hoc Networks without External Reference
Demand Adaptive Multi-Objective Electric Taxi Fleet Dispatching with Carbon Emission Analysis
Adaptive-similarity node embedding for scalable learning over graphs
AI Greenferencing: Routing AI Inferencing to Green Modular Data Centers with Heron
Enhancing Experimental Efficiency in Materials Design: A Comparative Study of Taguchi and Machine Learning Methods
Household Electricity Demand Forecasting - Benchmarking State-of-the-Art Methods
Gradient enhanced ADMM Algorithm for dynamic optimal transport on surfaces
Testing the limits of unsupervised learning for semantic similarity
An optical solution for the set splitting problem
Benchmarking metaheuristic algorithms for the bi-objective redundancy allocation problem in repairable systems with multiple strategies
ReTrace: Interactive Visualizations for Reasoning Traces of Large Reasoning Models
Estimating Small Differences in Car-Pose from Orbits
Differential equations as models of deep neural networks
Knowledge-Guided Textual Reasoning for Explainable Video Anomaly Detection via LLMs
Scalable Reinforcement Learning-based Neural Architecture Search
Involuntary Jailbreak
Path Imputation Strategies for Signature Models
Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models
Situational Grounding within Multimodal Simulations
Dealing with Limited Backhaul Capacity in Millimeter Wave Systems: A Deep Reinforcement Learning Approach
U-Net-Based Surrogate Model For Evaluation of Microfluidic Channels
M2LADS Demo: A System for Generating Multimodal Learning Analytics Dashboards
WIDIn: Wording Image for Domain-Invariant Representation in Single-Source Domain Generalization
Bayesian inverse problems using homotopy
Systematic Evaluation of Black-Box Checking for Fast Bug Detection
A comprehensive study of sparse representation techniques for offline signature verification
Image memorability enhances social media virality
Recoverable robust shortest path problem under interval uncertainty representations
Security Analysis of Chain-FS service
Flag: a Self-Dual Modality for Non-Commutative Contraction and Duplication in the Category of Coherence Spaces
Flooding attacks to internet threat monitors (ITM): Modeling and counter measures using botnet and honeypots
On the Nash Equilibria in Decentralized Parallel Interference Channels
Predicting Patient State-of-Health using Sliding Window and Recurrent Classifiers
Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards
Explicit Representatives and Sizes of Cyclotomic Cosets and their Application to Cyclic Codes over Finite Fields
Farmer.Chat: Scaling AI-Powered Agricultural Services for Smallholder Farmers
A Review on the Application of Natural Computing in Environmental Informatics
Lightweight Latent Verifiers for Efficient Meta-Generation Strategies
Towards Training-Free Underwater 3D Object Detection from Sonar Point Clouds: A Comparison of Traditional and Deep Learning Approaches
Option Valuation using Fourier Space Time Stepping
Consistent and Truthful Interpretation with Fourier Analysis
A New One-Shot Federated Learning Framework for Medical Imaging Classification with Feature-Guided Rectified Flow and Knowledge Distillation
Computational Modeling of an MRI Guided Drug Delivery System Based on Magnetic Nanoparticle Aggregations for the Navigation of Paramagnetic Nanocapsules
Construction of Const Dimension Code from Two Parallel Versions of Linkage Construction
Remapped Cache Layout: Thwarting Cache-Based Side-Channel Attacks with a Hardware Defense
Evaluating Deepfake Detectors in the Wild
SheafAlign: A Sheaf-theoretic Framework for Decentralized Multimodal Alignment
Degrees of Freedom of Two-Hop Wireless Networks: "Everyone Gets the Entire Cake''
CoverBLIP: accelerated and scalable iterative matched-filtering for Magnetic Resonance Fingerprint reconstruction
Cold Start Active Learning Strategies in the Context of Imbalanced Classification
SAD: Saliency-based Defenses Against Adversarial Examples
Robust Tracking and Model Following Controller Based on Higher Order Sliding Mode Control and Observation: With an Application to MagLev System
CoverLib: Classifiers-equipped Experience Library by Iterative Problem Distribution Coverage Maximization for Domain-tuned Motion Planning
Applying LLMs for Rescoring N-best ASR Hypotheses of Casual Conversations: Effects of Domain Adaptation and Context Carry-over
Neural Operators Meet Energy-based Theory: Operator Learning for Hamiltonian and Dissipative PDEs
DeepDive: Advancing Deep Search Agents with Knowledge Graphs and Multi-Turn RL
Refusal-Trained LLMs Are Easily Jailbroken As Browser Agents
Common Codebook Millimeter Wave Beam Design: Designing Beams for Both Sounding and Communication with Uniform Planar Arrays
Beyond Human Demonstrations: Diffusion-Based Reinforcement Learning to Generate Data for VLA Training
SPICE: An Automated SWE-Bench Labeling Pipeline for Issue Clarity, Test Coverage, and Effort Estimation
Distinguishing rule- and exemplar-based generalization in learning systems
Scheduling of Graph Queries: Controlling Intra- and Inter-query Parallelism for a High System Throughput
Multi-valued Action Languages in CLP(FD)
Information entropy as an anthropomorphic concept
A Particle Filter based Multi-Objective Optimization Algorithm: PFOPS
Invariant Features for Global Crop Type Classification
A Predictive Model using the Markov Property
Learning in School: Multi-teacher Knowledge Inversion for Data-Free Quantization
RELEAP: Reinforcement-Enhanced Label-Efficient Active Phenotyping for Electronic Health Records
Communication-Aware Map Compression for Online Path-Planning: A Rate-Distortion Approach
A Distributed Conductance Tester Without Global Information Collection
iGEM: a model system for team science and innovation
Understanding the impact of socialbot attacks in online social networks
Distributionally Robust Classifiers in Sentiment Analysis
Feedforward 3D Editing via Text-Steerable Image-to-3D
Spatial-Temporal Deep Embedding for Vehicle Trajectory Reconstruction from High-Angle Video
Automatic Tracking of the Muscle Tendon Junction in Healthy and Impaired Subjects using Deep Learning
The Heterogeneous Multiscale Method for dispersive Maxwell systems
Progressive Recurrent Learning for Visual Recognition
A Polya Urn Document Language Model for Improved Information Retrieval
Automated Detection of Clinical Entities in Lung and Breast Cancer Reports Using NLP Techniques
Automated but Atrophied? Student Over-Reliance vs Expert Augmentation of AI in Learning and Cybersecurity
A Parity Game Tale of Two Counters
A brief chronology of Virtual Reality
DDTracking: A Deep Generative Framework for Diffusion MRI Tractography with Streamline Local-Global Spatiotemporal Modeling
A Fine Grained Stochastic Geometry Based Analysis on LEO Satellite Communication Systems
Intent expression using eye robot for mascot robot system
Relating Superconducting Optoelectronic Networks to Classical Neurodynamics
SBSS: Stacking-Based Semantic Segmentation Framework for Very High Resolution Remote Sensing Image
Can Large Language Models Make the Grade? An Empirical Study Evaluating LLMs Ability to Mark Short Answer Questions in K-12 Education
Semi-Lagrangian Subgrid Reconstruction for Advection-Dominant Multiscale Problems
Anatomical basis of sex differences in human post-myocardial infarction ECG phenotypes identified by novel automated torso-cardiac 3D reconstruction
Monads and "do" notation in the Wolfram Language
Jointly Complementary&Competitive Influence Maximization with Concurrent Ally-Boosting and Rival-Preventing
Private Geometric Median in Nearly-Linear Time
DurFlex-EVC: Duration-Flexible Emotional Voice Conversion with Parallel Generation
Improving search relevance of Azure Cognitive Search by Bayesian optimization
The Evolution of Natural Language Processing: How Prompt Optimization and Language Models are Shaping the Future
Split Time Series into Patches: Rethinking Long-term Series Forecasting with Dateformer
Porous Sturcture Design in Tissue Engineering Using Anisotropic Radial Basis Function
Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning
Adaptive Plan-Execute Framework for Smart Contract Security Auditing
Testing side-channel security of cryptographic implementations against future microarchitectures
Wigner kernels: body-ordered equivariant machine learning without a basis
Understanding the Mechanisms of Fast Hyperparameter Transfer
On the Heterogeneous Distributions in Paper Citations
Rate Region of MIMO RIS-assisted Broadcast Channels with Rate Splitting and Improper Signaling
Lip-to-Speech Synthesis in the Wild with Multi-task Learning
Data-Driven Robust Control Using Reinforcement Learning
MTL-Model Checking of One-Clock Parametric Timed Automata is Undecidable
High quality ultrasonic multi-line transmission through deep learning
MoSen: Activity Modelling in Multiple-Occupancy Smart Homes
Local Search Heuristics For The Multidimensional Assignment Problem
Computing the Power Distribution in the IMF
Usage-based learning of grammatical categories
Shortcut Matrix Product States and its applications
Energy-based Model for Accurate Shapley Value Estimation in Interpretable Deep Learning Predictive Modeling
A New Foundation for Finitary Corecursion and Iterative Algebras
Security Concerns for Large Language Models: A Survey
Full-Stack End-to-End Sub-THz Simulations at 140 GHz using NYUSIM Channel Model in ns-3
Face Detection through Scale-Friendly Deep Convolutional Networks
DiffPAD: Denoising Diffusion-based Adversarial Patch Decontamination
A continuous framework for fairness
Cross-Modality Multi-Atlas Segmentation Using Deep Neural Networks
Automatic Structured Pruning for Efficient Architecture in Federated Learning
Multiple resolution of the modular structure of complex networks
Boolean combinations of graphs
Insiders and Outsiders in Research on Machine Learning and Society
High-dimensional stochastic finite volumes using the tensor train format
α-robust error estimates of general non-uniform time-step numerical schemes for reaction-subdiffusion problems
Non-Volatile Kernel Root kit Detection and Prevention in Cloud Computing
Segregation Dynamics with Reinforcement Learning and Agent Based Modeling
Finite test sets for morphisms which are square-free on some of Thue's square-free ternary words
Road Detection via On-line Label Transfer
Shared Execution of Path Queries on Road Networks
Hedging with Neural Networks
Predicting Future Sales of Retail Products using Machine Learning
Internal Structure Attention Network for Fingerprint Presentation Attack Detection from Optical Coherence Tomography
On the Computation of 2-Dimensional Recurrence Equations
BlanketSet - A clinical real word action recognition and qualitative semi-synchronised MoCap dataset
On the Performance of Cooperative NOMA Using MRC at Road Intersections in the Presence of Interference
Controlling the Solo12 Quadruped Robot with Deep Reinforcement Learning
Large Language Models for Cyber Security
Supervised-Contrastive Loss Learns Orthogonal Frames and Batching Matters
Dark Channel-Assisted Depth-from-Defocus from a Single Image
Foundations of the Socio-physical Model of Activities (SOMA) for Autonomous Robotic Agents
Evaluating the Logical Reasoning Abilities of Large Reasoning Models
On The Statistical Representation Properties Of The Perturb-Softmax And The Perturb-Argmax Probability Distributions
Recall: Empowering Multimodal Embedding for Edge Devices
Few-Shot Learning with Uncertainty-based Quadruplet Selection for Interference Classification in GNSS Data
Games with Costs and Delays
Semantic-Supervised Spatial-Temporal Fusion for LiDAR-based 3D Object Detection
Feedback stabilization of a nanoparticle at the intensity minimum of an optical double-well potential
Neural stochastic codes, encoding and decoding
Computing with Noise - Phase Transitions in Boolean Formulas
Interval-based Prediction Uncertainty Bound Computation in Learning with Missing Values
A quantum algorithm for track reconstruction in the LHCb vertex detector
Learning in time-varying games
Automated detection of Alzheimer disease using MRI images and deep neural networks- A review
Swift4D:Adaptive divide-and-conquer Gaussian Splatting for compact and efficient reconstruction of dynamic scene
Real time QKD Post Processing based on Reconfigurable Hardware Acceleration
Undetected Error Probability in the Short Blocklength Regime: Approaching Finite-Blocklength Bounds with Polar Codes
Can Self-Supervised Learning solve the problem of child speech recognition?
Unleashing the Expressive Power of Pulse-Based Quantum Neural Networks
Outperforming Multiserver SRPT at All Loads
Fusion of Movement and Naive Predictions for Point Forecasting in Univariate Random Walks
Stability Results for the Continuity Equation
The development of battery storage systems in Germany: A market review (status 2022)
Pairs of Languages Closed under Shuffle Projection
Science Hierarchography: Hierarchical Organization of Science Literature
Performance Analysis of 5G FR2 (mmWave) Downlink 256QAM on Commercial 5G Networks
Brain Inspired Computing Approach for the Optimization of the Thin Film Thickness of Polystyrene on the Glass Substrates
Confidence Matters: Inspecting Backdoors in Deep Neural Networks via Distribution Transfer
PriRoAgg: Achieving Robust Model Aggregation with Minimum Privacy Leakage for Federated Learning
From Filters to VLMs: Benchmarking Defogging Methods through Object Detection and Segmentation Performance
Bounded Graph Clustering with Graph Neural Networks
Enhanced Minimal Scheduling Function for IEEE802.15.4e TSCH Networks
LightGCN: Evaluated and Enhanced
Learning to explore when mistakes are not allowed
DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation
Compressive Periodogram Reconstruction Using a Multibin Approach
Probabilistic Behavioral Aggregation: A Case Study on the Nordic Power Grid
Flexible Coded Distributed Convolution Computing for Enhanced Fault Tolerance and Numerical Stability in Distributed CNNs
Stable and Robust Deep Learning By Hyperbolic Tangent Exponential Linear Unit (TeLU)
MixEHR-SurG: a joint proportional hazard and guided topic model for inferring mortality-associated topics from electronic health records
Beyond O(√T) Regret: Decoupling Learning and Decision-making in Online Linear Programming
An Algorithmic Refinement of Maxent Induces a Thermodynamic-like Behaviour in the Reprogrammability of Generative Mechanisms
Noticing Motion Patterns: Temporal CNN with a Novel Convolution Operator for Human Trajectory Prediction
Chebyshev Approximation and Higher Order Derivatives of Lyapunov Functions for Estimating the Domain of Attraction
Identifying and Quantifying Trade-offs in Multi-Stakeholder Risk Evaluation with Applications to the Data Protection Impact Assessment of the GDPR
Privacy-Preserving Gesture Tracking System Utilizing Frequency-Hopping RFID Signals
Policy Search for Model Predictive Control with Application to Agile Drone Flight
Does the evaluation stand up to evaluation? A first-principle approach to the evaluation of classifiers
Extractive Summarization of EHR Discharge Notes
LLM 3 -DTI: A Large Language Model and Multi-modal data co-powered framework for Drug-Target Interaction prediction
Open Sesame! Universal Black Box Jailbreaking of Large Language Models
Stacked DeBERT: All Attention in Incomplete Data for Text Classification
Decentralized Multi-Robot Relative Navigation in Unknown, Structurally Constrained Environments under Limited Communication
Streaming Network Embedding through Local Actions
The Problem of Algorithmic Collisions: Mitigating Unforeseen Risks in a Connected World
Model-checking Driven Black-box Testing Algorithms for Systems with Unspecified Components
Deep Person Re-Identification with Improved Embedding
XY-Cut++: Advanced Layout Ordering via Hierarchical Mask Mechanism on a Novel Benchmark
Simple Steps to Success: Axiomatics of Distance-Based Algorithmic Recourse
Fair Stochastic Interference Orchestration with Cellular Throughput Boosted via Outband Sidelinks
Can Adversarial Network Attack be Defended?
Scalable CP Decomposition for Tensor Learning using GPU Tensor Cores
How well-conditioned can the eigenvalue problem be?
Models for energy consumption of data structures and algorithms
Taiyi: A Bilingual Fine-Tuned Large Language Model for Diverse Biomedical Tasks
Fast Algorithms for Graph Arboricity and Related Problems
Robotic Search & Rescue via Online Multi-task Reinforcement Learning
Representation Based Regression for Object Distance Estimation
Big Data and Learning Analytics in Higher Education: Demystifying Variety, Acquisition, Storage, NLP and Analytics
Lessons from Three Views of the Internet Topology
Stage-based Hyper-parameter Optimization for Deep Learning
PaRCE: Probabilistic and Reconstruction-Based Competency Estimation for Safe Navigation Under Perception Uncertainty
Anomaly Detection using Contrastive Normalizing Flows
Meta-Reinforcement Learning for Adaptive Motor Control in Changing Robot Dynamics and Environments
MArgE: Meshing Argumentative Evidence from Multiple Large Language Models for Justifiable Claim Verification
Tazza: Shuffling Neural Network Parameters for Secure and Private Federated Learning
Segmenting Unseen Industrial Components in a Heavy Clutter Using RGB-D Fusion and Synthetic Data
Reward-Mediated Individual and Altruistic Behavior
Advanced Deep Regression Models for Forecasting Time Series Oil Production
M5Product: A Multi-modal Pretraining Benchmark for E-commercial Product Downstream Tasks
On the Neural Tangent Kernel Analysis of Randomly Pruned Wide Neural Networks
Immersive Teleoperation of Beyond-Human-Scale Robotic Manipulators: Challenges and Future Directions
Beyond Fixed Topologies: Unregistered Training and Comprehensive Evaluation Metrics for 3D Talking Heads
Rock Classification through Knowledge-Enhanced Deep Learning: A Hybrid Mineral-Based Approach
Quantifying the magic of quantum channels
Augmented Object Intelligence: Making the Analog World Interactable with XR-Objects
PSO-PINN: Physics-Informed Neural Networks Trained with Particle Swarm Optimization
Multimaterial topology optimization for finite strain elastoplasticity: theory, methods, and applications
Word Embeddings Inherently Recover the Conceptual Organization of the Human Mind
Taxonomy grounded aggregation of classifiers with different label sets
Refinement of Hottopixx and its Postprocessing
OSTINATO: Cross-host Attack Correlation Through Attack Activity Similarity Detection
Like Quantum Computing without Quantum Physics: Is it How the Brain Works?
Improving Reliability of Latent Dirichlet Allocation by Assessing Its Stability Using Clustering Techniques on Replicated Runs
Bewelcome.org - a non-profit democratic hospex service set up for growth
Regularized Contrastive Pre-training for Few-shot Bioacoustic Sound Detection
Entropy-Based $Sim(3)$ Calibration of 2D Lidars to Egomotion Sensors
Task-Agnostic Federated Learning
Face editing with GAN - A Review
EasyRpl: A web-based tool for modelling and analysis of cross-organisational workflows
DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers
E-Scooter Rider Detection and Classification in Dense Urban Environments
What Is Preference Optimization Doing, How and Why?
Incremental extraction of a NoSQL database model using an MDA-based process
Modelling, Reduction and Analysis of Markov Automata (extended version)
Tensor Full Feature Measure and Its Nonconvex Relaxation Applications to Tensor Recovery
Implementing Constraint Handling Rules as a Domain-Specific Language Embedded in Java
Memory Mosaics at scale
Finding Influential Bloggers
Adaptive Inference through Bayesian and Inverse Bayesian Inference with Symmetry-Bias in Nonstationary Environments
DISTWAR: Fast Differentiable Rendering on Raster-based Rendering Pipelines
Efficient Federated Learning with Spike Neural Networks for Traffic Sign Recognition
Paging with Multiple Caches
The influence of missing data mechanisms and simple missing data handling techniques on fairness
Dominion -- A constraint solver generator
Reproducibility analysis of automated deep learning based localisation of mandibular canals on a temporal CBCT dataset
Possibility and Necessity Functions over Non-classical Logics
Study of the effect of Sharpness on Blind Video Quality Assessment
ISIS at its apogee: the Arabic discourse on Twitter and what we can learn from that about ISIS support and Foreign Fighters
Overcoming Forgetting in Federated Learning on Non-IID Data
Flexi-Transducer: Optimizing Latency, Accuracy and Compute forMulti-Domain On-Device Scenarios
Transformer-based dimensionality reduction
Photon counting compressive depth mapping
RNAS: Architecture Ranking for Powerful Networks
DAM: Dynamic Adapter Merging for Continual Video QA Learning
General Framework for Evaluating Password Complexity and Strength
A Stiffness-Oriented Model Order Reduction Method for Low-Inertia Power Systems
Decentralized identification and control of networks of coupled mobile platforms through adaptive synchronization of chaos
Contextual Consent: Ethical Mining of Social Media for Health Research
Time Versus Cost Tradeoffs for Deterministic Rendezvous in Networks
Tex2Shape: Detailed Full Human Body Geometry from a Single Image
Observe Before Play: Multi-armed Bandit with Pre-observations
MolMiner: Transformer architecture for fragment-based autoregressive generation of molecular stories
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Finds Global Optima
Missing Spectrum-Data Recovery in Cognitive Radio Networks Using Piecewise Constant Nonnegative Matrix Factorization
On-Device Diffusion Transformer Policy for Efficient Robot Manipulation
Enhancing Retrieval-Augmented Generation for Electric Power Industry Customer Support
Projection based Active Gaussian Process Regression for Pareto Front Modeling
Progressive Generation of Long Text
Asymptotic MMSE Analysis Under Sparse Representation Modeling