yusuke1997/dblp-id-title huggingface dataset:
Ariadne: A Controllable Framework for Probing and Extending VLM Reasoning Boundaries
Towards Trustworthy Healthcare AI: Attention-Based Feature Learning for COVID-19 Screening With Chest Radiography
CHILLI: A data context-aware perturbation method for XAI
An Immersive Virtual Reality Bimanual Telerobotic System With Haptic Feedback
Implicit Channel Learning for Machine Learning Applications in 6G Wireless Networks
Bird detection in audio: a survey and a challenge
Adaptive grids as parametrized scale-free networks
Mobile Artificial Intelligence Technology for Detecting Macula Edema and Subretinal Fluid on OCT Scans: Initial Results from the DATUM alpha Study
The Grammar of FAIR: A Granular Architecture of Semantic Units for FAIR Semantics, Inspired by Biology and Linguistics
OpenEDS2020: Open Eyes Dataset
PaSh: Light-touch Data-Parallel Shell Processing
Multi-Agent Programming Contest 2010 - The Jason-DTU Team
Deep-learning-based data page classification for holographic memory
SPP-Net: Deep Absolute Pose Regression with Synthetic Views
Automatic Video Object Segmentation via Motion-Appearance-Stream Fusion and Instance-aware Segmentation
Adaptive Reduced-Rank Equalization Algorithms Based on Alternating Optimization Design Techniques for Multi-Antenna Systems
Enhancement of Neural Inertial Regression Networks: A Data-Driven Perspective
Deterministic parallel algorithms for fooling polylogarithmic juntas and the Lovasz Local Lemma
Spatial-aware decision-making with ring attractors in reinforcement learning systems
Arc Blanc: a real time ocean simulation framework
Quantum Geometry of Data
A Semantic-Loss Function Modeling Framework With Task-Oriented Machine Learning Perspectives
Deep Learning Models to Study Sentence Comprehension in the Human Brain
A Robust, Open-Source Framework for Spiking Neural Networks on Low-End FPGAs
Steering Large Language Models with Register Analysis for Arbitrary Style Transfer
A Systematic and Meta-analysis Survey of Whale Optimization Algorithm
A Model for Donation Verification
Analysis and Simulation of Delay and Buffer Requirements of satellite-ATM Networks for TCP/IP Traffic
Boosting in Image Quality Assessment
zkFaith: Soonami's Zero-Knowledge Identity Protocol
Large Sign Language Models: Toward 3D American Sign Language Translation
Noise Robust Online Inference for Linear Dynamic Systems
Polynomial Freiman-Ruzsa, Reed-Muller codes and Shannon capacity
LOKE: Linked Open Knowledge Extraction for Automated Knowledge Graph Construction
GINO-Q: Learning an Asymptotically Optimal Index Policy for Restless Multi-armed Bandits
State Amplification Subject To Masking Constraints
Salvage Reusable Samples from Noisy Data for Robust Learning
Coqatoo: Generating Natural Language Versions of Coq Proofs
A Recipe for Efficient SBIR Models: Combining Relative Triplet Loss with Batch Normalization and Knowledge Distillation
Adversarial robustness of sparse local Lipschitz predictors
A Framework for Evaluating Epidemic Forecasts
Compress-and-Forward Scheme for a Relay Network: Approximate Optimality and Connection to Algebraic Flows
Discover Important Paths in the Knowledge Graph Based on Dynamic Relation Confidence
Rethinking PCA Through Duality
Lattice codes for the Gaussian relay channel: Decode-and-Forward and Compress-and-Forward
Persode: Personalized Visual Journaling with Episodic Memory-Aware AI Agent
Knowledge Refinement via Interaction Between Search Engines and Large Language Models
ARCA23K: An audio dataset for investigating open-set label noise
Towards a Model-Based Framework for Integrating Usability and Software Engineering Life Cycles
Reasoning about Unmodelled Concepts - Incorporating Class Taxonomies in Probabilistic Relational Models
Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data
A-KIT: Adaptive Kalman-Informed Transformer
Insect-Computer Hybrid System Capable of Autonomous Navigation and Human Detection in Unknown Environments
On correctness and completeness of an n queens program
How we won BraTS 2023 Adult Glioma challenge? Just faking it! Enhanced Synthetic Data Augmentation and Model Ensemble for brain tumour segmentation
DV-Hop localization based on Distance Estimation using Multinode and Hop Loss in WSNs
Efficient Covariance Matrix Reconstruction with Iterative Spatial Spectrum Sampling
2.4GHZ Class AB power Amplifier For Healthcare Application
Grammatical facial expression recognition using customized deep neural network architecture
A Survey on Deep Learning Techniques for Video Anomaly Detection
Edge Aware Learning for 3D Point Cloud
Learning Graph Representations
Linking Datasets on Organizations Using Half A Billion Open Collaborated Records
Conformance Checking Approximation using Subset Selection and Edit Distance
{S 3 -Mamba}: Small-Size-Sensitive Mamba for Lesion Segmentation
Propaganda is all you need
Swapped Face Detection using Deep Learning and Subjective Assessment
A Formal Model to Prove Instantiation Termination for E-matching-Based Axiomatisations (Extended Version)
Cinderella's shoe won't fit Soundarya: An audit of facial processing tools on Indian faces
An Extension Of Weiler-Atherton Algorithm To Cope With The Self-intersecting Polygon
Enhancing Monocular Height Estimation via Sparse LiDAR-Guided Correction
Co-optimization of Energy and Reserve with Incentives to Wind Generation: Case Study
Accelerating Block Coordinate Descent for Nonnegative Tensor Factorization
Novel Change of Measure Inequalities and PAC-Bayesian Bounds
Real-time implementation of vibrato transfer as an audio effect
ECORE: Energy-Conscious Optimized Routing for Deep Learning Models at the Edge
On Linearizability and the Termination of Randomized Algorithms
ID-RAG: Identity Retrieval-Augmented Generation for Long-Horizon Persona Coherence in Generative Agents
One-Shot Learning in Discriminative Neural Networks
Chat Modeling: Natural Language-based Procedural Modeling of Biological Structures without Training
A framework for the analysis of supervised discrete event systems under attack
Proceedings of the twelfth Workshop on Answer Set Programming and Other Computing Paradigms 2019
Discovering Semantic Subdimensions through Disentangled Conceptual Representations
A Self-Attentive model for Knowledge Tracing
Vision Transformers with Autoencoders and Explainable AI for Cancer Patient Risk Stratification Using Whole Slide Imaging
A Data Balancing and Ensemble Learning Approach for Credit Card Fraud Detection
PlugTrack: Multi-Perceptive Motion Analysis for Adaptive Fusion in Multi-Object Tracking
Filling MIS Vertices by Myopic Luminous Robots
A 2D kinetic model for crowd dynamics with disease contagion
Mathematical Analysis on Out-of-Sample Extensions
A Comparative Study of Sentiment Analysis Using NLP and Different Machine Learning Techniques on US Airline Twitter Data
Towards Human-level Machine Reading Comprehension: Reasoning and Inference with Multiple Strategies
Efficient Extreme Operating Condition Search for Online Relay Setting Calculation in Renewable Power Systems Based on Parallel Graph Neural Network
HireNet: a Hierarchical Attention Model for the Automatic Analysis of Asynchronous Video Job Interviews
An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution
A Divergence-free Preserving Mixed Finite Element Method for Thermally Driven Active Fluid Model
On the Need to Align Intent and Implementation in Uncertainty Quantification for Machine Learning
Digital Ecosystems in the Clouds: Towards Community Cloud Computing
Large Window-based Mamba UNet for Medical Image Segmentation: Beyond Convolution and Self-attention
Robust and Computation-Aware Gaussian Processes
Word Embedding Perturbation for Sentence Classification
Sample Complexity of Identifying the Nonredundancy of Nontransitive Games in Dueling Bandits
Harder synthetic anomalies to improve OoD detection in Medical Images
Knowledge Graph-enhanced Sampling for Conversational Recommender System
Pose2Instance: Harnessing Keypoints for Person Instance Segmentation
Nested Lattice Codes for Vector Perturbation Systems
Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization
Applying system descriptors to address ambiguity on deployment diagrams
Scattering approach to diffusion quantifies axonal damage in brain injury
Design of Many-Core Big Little μBrain for Energy-Efficient Embedded Neuromorphic Computing
Multi-Modal Detection of Alzheimer's Disease from Speech and Text
Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural Networks
Solution-Set Geometry and Regularization Path of a Nonconvexly Regularized Convex Sparse Model
Ethics of Software Programming with Generative AI: Is Programming without Generative AI always radical?
Refinement of Low Rank Approximation of a Matrix at Sub-linear Cost
Adaptive Contextual Perception: How to Generalize to New Backgrounds and Ambiguous Objects
An inverse random source problem for the Helium production-diffusion equation driven by a fractional Brownian motion
Rethinking Prompt Optimization: Reinforcement, Diversification, and Migration in Blackbox LLMs
Test-time Prompt Intervention
On the Benefits of Edge Caching for MIMO Interference Alignment
Towards a Consensual Definition for Smart Tourism and Smart Tourism Tools
Temporal Reasoning in AI systems
Constructing Boundary-identical Microstructures by Guided Diffusion for Fast Multiscale Designs
Longest Common Subsequence in Sublinear Space
A System for Quantifying Data Science Workflows with Fine-Grained Procedural Logging and a Pilot Study
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks
Scalable Psychological Momentum Forecasting in Esports
Diffusion Models for Memory-efficient Processing of 3D Medical Images
A machine learning approach for image classification in synthetic aperture RADAR
Continuous Optimization for Fields of Experts Denoising Works
A framework for proof certificates in finite state exploration
CSPCL: Category Semantic Prior Contrastive Learning for Deformable DETR-Based Prohibited Item Detectors
A Deep Learning Based Multitask Network for Respiration Rate Estimation - A Practical Perspective
Progresses in the Analysis of Stochastic 2D Cellular Automata: a Study of Asynchronous 2D Minority
What Matters More For In-Context Learning under Matched Compute Budgets: Pretraining on Natural Text or Incorporating Targeted Synthetic Examples?
Branching out into Structural Identifiability Analysis with Maple: Interactive Exploration of Uncontrolled Linear Time-Invariant Structures
Learning to Steer: Input-dependent Steering for Multimodal LLMs
Velocity estimation via model order reduction
LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation
SLJP: Semantic Extraction based Legal Judgment Prediction
IQ-aware precoding for atomic MIMO receivers
Exploring API Behaviours Through Generated Examples
Reflections on Designing and Running Visualization Design and Programming Activities in Courses with Many Students
A Stochastic Geometry Analysis of Inter-cell Interference Coordination and Intra-cell Diversity
On the Automorphism Groups of the Z2Z4-Linear 1-Perfect and Preparata-Like Codes
Gradient-Free Supervised Learning using Spike-Timing-Dependent Plasticity for Image Recognition
Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates for Mesh Physics
Learning from Teaching Assistants to Program with Subgoals: Exploring the Potential for AI Teaching Assistants
An Attack on the the Encryption Scheme of the Moscow Internet Voting System
Variational approach to unsupervised learning
A computational method for bounding the probability of reconstruction on trees
New Constructions of Permutation Arrays
DHQA-4D: Perceptual Quality Assessment of Dynamic 4D Digital Human
JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference
Deep learning for action spotting in association football videos
Enhancing performance of subject-specific models via subject-independent information for SSVEP-based BCIs
Improved Analysis of Khatri-Rao Random Projections and Applications
Internal layer solutions and coefficient recovery in time-periodic reaction-diffusion-advection equations
SWDE : A Sub-Word And Document Embedding Based Engine for Clickbait Detection
Benchmarking large language models for materials synthesis: the case of atomic layer deposition
HandMime: Sign Language Fingerspelling Acquisition via Imitation Learning
Would You Mind Me if I Pass by You? Socially-Appropriate Behaviour for an Omni-based Social Robot in Narrow Environment
Winner does not take all: contrasting centrality in adversarial networks
Rectangle Blanket Problem: Binary integer linear programming formulation and solution algorithms
Nigraha: Machine-learning based pipeline to identify and evaluate planet candidates from TESS
Expert Kernel Generation Network Driven by Contextual Mapping for Hyperspectral Image Classification
High-Dimensional Robust Mean Estimation via Gradient Descent
NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge
Securing Genomic Data Against Inference Attacks in Federated Learning Environments
Connecting Kani's Lemma and path-finding in the Bruhat-Tits tree to compute supersingular endomorphism rings
Receptive Field Regularization Techniques for Audio Classification and Tagging with Deep Convolutional Neural Networks
Single-partition adaptive Q-learning
Investigating impact of bit-flip errors in control electronics on quantum computation
The 1st-place Solution for ECCV 2022 Multiple People Tracking in Group Dance Challenge
BadRobot: Jailbreaking LLM-based Embodied AI in the Physical World
PERS: A Personalized and Explainable POI Recommender System
Projecting Gaussian Ellipsoids While Avoiding Affine Projection Approximation
Leveraging Activations for Superpixel Explanations
GPU-Based Fuzzy C-Means Clustering Algorithm for Image Segmentation
Preparation of Pure Gaussian States via Cascaded Quantum Systems
A Comprehensive Approach to Unsupervised Embedding Learning based on AND Algorithm
Building Synthetic Speaker Profiles in Text-to-Speech Systems
CSB-RNN: A Faster-than-Realtime RNN Acceleration Framework with Compressed Structured Blocks
BiBLDR: Bidirectional Behavior Learning for Drug Repositioning
Kolmogorov Arnold Networks (KANs) for Imbalanced Data - An Empirical Perspective
Global and Local Information Based Deep Network for Skin Lesion Segmentation
Fully Decentralized Cooperative Multi-Agent Reinforcement Learning is A Context Modeling Problem
Can Adversarial Networks Hallucinate Occluded People With a Plausible Aspect?
Finite elements for divdiv-conforming symmetric tensors
Multimodal Composite Association Score: Measuring Gender Bias in Generative Multimodal Models
Gamers Private Network Performance Forecasting. From Raw Data to the Data Warehouse with Machine Learning and Neural Nets
Representation mitosis in wide neural networks
FusionDP: Foundation Model-Assisted Differentially Private Learning for Partially Sensitive Features
Multi-spectral Image Panchromatic Sharpening, Outcome and Process Quality Assessment Protocol
Artificial Neural Networks, Symmetries and Differential Evolution
DynaPain: Moving Flame Beetle with Dynamic Pain Illusion Adapting Apparent Movement to Thermal Grill Illusion
Optimal Path Planning using CAMIS: a Continuous Anisotropic Model for Inclined Surfaces
Greedy Sparse Signal Recovery Algorithm Based on Bit-wise MAP detection
Data-driven Identification and Prediction of Power System Dynamics Using Linear Operators
A framework for securing email entrances and mitigating phishing impersonation attacks
A novel approach for fast mining frequent itemsets use N-list structure based on MapReduce
GPflux: A Library for Deep Gaussian Processes
POUR: A Provably Optimal Method for Unlearning Representations via Neural Collapse
Iterative Secret Key Rate Adapting with Error Minimization for Continuous-Variable Quantum Key Distribution
Generative AI in Transportation Planning: A Survey
Pricing strategies for viral marketing on Social Networks
Privacy-Preserving Linkage of Distributed Datasets using the Personal Health Train
Soft Pilot Reuse and Multi-Cell Block Diagonalization Precoding for Massive MIMO Systems
Adoption of AI Technology in the Music Mixing Workflow: An Investigation
Eating sandwiches: Modular and lightweight elimination of transaction reordering attacks
Machine Learning for Temporal Data in Finance: Challenges and Opportunities
Data-Centric Diet: Effective Multi-center Dataset Pruning for Medical Image Segmentation
Approximate message-passing for convex optimization with non-separable penalties
Quantum simulation from the bottom up: the case of rebits
Assessing the Viability of Fresnel Lenses for Weed Control in Prickly Pear Cactus Cultivation: A Spatiotemporal Coverage Perspective
Jacobi Set Simplification for Tracking Topological Features in Time-Varying Scalar Fields
Precise Change Point Detection using Spectral Drift Detection
Convolutional Codes with Maximum Column Sum Rank for Network Streaming
Skip-Webs: Efficient Distributed Data Structures for Multi-Dimensional Data Sets
A Combinatorial Necessary and Sufficient Condition for Cluster Consensus
CFMW: Cross-modality Fusion Mamba for Multispectral Object Detection under Adverse Weather Conditions
Generative AI for Health Technology Assessment: Opportunities, Challenges, and Policy Considerations
Representation Learning for Weakly Supervised Relation Extraction
Towards the Transportation Internet: Concepts, Architectures and Requirements
Mastering $2048$ with Delayed Temporal Coherence Learning, Multi-State Weight Promotion, Redundant Encoding and Carousel Shaping
Point and Ask: Incorporating Pointing into Visual Question Answering
The unstable temporal development of axi-symmetric jets of incompressible fluid
Grid Computing: The Next Decade -- Report and Summary
Guiding Data-Driven Design Ideation by Knowledge Distance
Morph Call: Probing Morphosyntactic Content of Multilingual Transformers
Tumour ROI Estimation in Ultrasound Images via Radon Barcodes in Patients with Locally Advanced Breast Cancer
An End-to-End Geometric Deficiency Elimination Algorithm for 3D Meshes
Description and Discussion on DCASE 2023 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring
Bi-objective Optimization of Information Rate and Harvested Power in RIS-aided SWIPT Systems
Unmasking Illusions: Understanding Human Perception of Audiovisual Deepfakes
A Fano-Style Accuracy Upper Bound for LLM Single-Pass Reasoning in Multi-Hop QA
Forecasting Pressure Of Ventilator Using A Hybrid Deep Learning Model Built With Bi-LSTM and Bi-GRU To Simulate Ventilation
Utility-Probability Duality
Geometric Polynomial Constraints in Higher-Order Graph Matching
BP-MPC: Optimizing Closed-Loop Performance of MPC using BackPropagation
InstructSing: High-Fidelity Singing Voice Generation via Instructing Yourself
PartDexTOG: Generating Dexterous Task-Oriented Grasping via Language-driven Part Analysis
Wavelet Residual Network for Low-Dose CT via Deep Convolutional Framelets
A System of Interaction and Structure
Human Aesthetic Preference-Based Large Text-to-Image Model Personalization: Kandinsky Generation as an Example
Securing OPEN-RAN Equipment Using Blockchain-Based Supply Chain Verification
On the Deployment of Cognitive Relay as Underlay Systems
An efficient pairing-free certificateless two-party authenticated key agreement protocol in the eCK model
TempoRL: Temporal Priors for Exploration in Off-Policy Reinforcement Learning
Off-Diagonal Ramsey Multiplicity
NLC-2 graph recognition and isomorphism
Online Detection of Water Contamination Under Concept Drift
Local and global expansion in random geometric graphs
Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond
Private Electronic Payments with Self-Custody and Zero-Knowledge Verified Reissuance
Analysis of Basis Pursuit Via Capacity Sets
LINEA: Fast and Accurate Line Detection Using Scalable Transformers
Power Imbalance Detection in Smart Grid via Grid Frequency Deviations: A Hidden Markov Model based Approach
A Sparse Representation of Complete Local Binary Pattern Histogram for Human Face Recognition
Machine and Deep Learning for IoT Security and Privacy: Applications, Challenges, and Future Directions
The Object Projection Feature Estimation Problem in Unsupervised Markerless 3D Motion Tracking
Bisimulation Games on Coalgebras
Incentivizing High-Quality Human Annotations with Golden Questions
Analyzing Adversarial Attacks Against Deep Learning for Intrusion Detection in IoT Networks
GRAB: A Challenging GRaph Analysis Benchmark for Large Multimodal Models
Analyzing Country-Level Vaccination Rates and Determinants of Practical Capacity to Administer COVID-19 Vaccines
Who wants accurate models? Arguing for a different metrics to take classification models seriously
Temporal Generalization: A Reality Check
SessionRec: Next Session Prediction Paradigm For Generative Sequential Recommendation
Oriented Object Detection in Aerial Images Based on Area Ratio of Parallelogram
Audit and Assurance of AI Algorithms: A framework to ensure ethical algorithmic practices in Artificial Intelligence
Prisoner's Dilemma on Graphs with Large Girth
Convolutive Transfer Function Invariant SDR training criteria for Multi-Channel Reverberant Speech Separation
Deep Learning in High Dimension: Neural Network Approximation of Analytic Functions in L 2 (R d , γ d )
Saliency-Guided Perceptual Grouping Using Motion Cues in Region-Based Artificial Visual Attention
Moser-Tardos Algorithm with small number of random bits
Bridging Perception and Reasoning: Dual-Pipeline Neuro-Symbolic Landing for UAVs in Cluttered Environments
A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays
Continual Learning with Tiny Episodic Memories
Interval-based Resource Usage Verification by Translation into Horn Clauses and an Application to Energy Consumption
InternGPT: Solving Vision-Centric Tasks by Interacting with Chatbots Beyond Language
Improved Long-Form Spoken Language Translation with Large Language Models
On the Optimal Interaction Range for Multi-Agent Systems Under Adversarial Attack
Shapley-based Explainable AI for Clustering Applications in Fault Diagnosis and Prognosis
An Encoding Scheme with Constituent Codes Optimization for Polar Code-Aim to Reduce the Decoding Latency
Deep Learning Interior Tomography for Region-of-Interest Reconstruction
ParisLuco3D: A high-quality target dataset for domain generalization of LiDAR perception
PointJEM: Self-supervised Point Cloud Understanding for Reducing Feature Redundancy via Joint Entropy Maximization
Bounding Causal Effects and Counterfactuals
A Novel Physics-Based and Data-Supported Microstructure Model for Part-Scale Simulation of Ti-6Al-4V Selective Laser Melting
Simple and Effective Relation-Based Approaches To XPath and XSLT Type Checking (Technical Report, Bad Honnef 2015)
LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs
Image Acquisition in an Underwater Vision System with NIR and VIS Illumination
A Hybrid Factorization Algorithm for Sparse Matrix with Mixed Precision Arithmetic
Learning Effective NeRFs and SDFs Representations with 3D Generative Adversarial Networks for 3D Object Generation: Technical Report for ICCV 2023 OmniObject3D Challenge
Intelligent Histology for Tumor Neurosurgery
Policy and Legal Challenges of Virtual Worlds and Social Network Sites
An Aggregation Technique For Large-Scale PEPA Models With Non-Uniform Populations
Transfer learning discovery of molecular modulators for perovskite solar cells
The role of robot design in decoding error-related information from EEG signals of a human observer
Linear Convergence of Distributed Compressed Optimization with Equality Constraints
Foundation X: Integrating Classification, Localization, and Segmentation through Lock-Release Pretraining Strategy for Chest X-ray Analysis