yusuke1997/dblp-id-title huggingface dataset:
On the Succinctness of Alternating Parity Good-for-Games Automata
Predicting Movie Success with Multi-Task Learning: A Hybrid Framework Combining GPT-Based Sentiment Analysis and SIR Propagation
A unified platform for GIS data management and analytics
Shape2Motion: Joint Analysis of Motion Parts and Attributes from 3D Shapes
fairBERTs: Erasing Sensitive Information Through Semantic and Fairness-aware Perturbations
Diffusion-based Time Series Forecasting for Sewerage Systems
Adaptive operator learning for infinite-dimensional Bayesian inverse problems
Optimally Deep Networks - Adapting Model Depth to Datasets for Superior Efficiency
Filtering Context Mitigates Scarcity and Selection Bias in Political Ideology Prediction
Correlation vs causation in Alzheimer's disease: an interpretability-driven study
A Systematic Literature Review of Explainable AI for Software Engineering
HORPO with Computability Closure : A Reconstruction
Generative learning for deep networks
DeepSoft: A vision for a deep model of software
Is In-Context Learning Learning?
CTTA-T: Continual Test-Time Adaptation for Text Understanding via Teacher-Student with a Domain-aware and Generalized Teacher
SAM-OCTA: Prompting Segment-Anything for OCTA Image Segmentation
What do Deep Networks Like to See?
Clustering Drives Cooperation on Reputation Networks, All Else Fixed
AI-Driven Multi-Agent Vehicular Planning for Battery Efficiency and QoS in 6G Smart Cities
Congestion induced by the structure of multiplex networks
Using Physics Simulations to Find Targeting Strategies in Competitive Bowling
Adapting Multimodal Foundation Models for Few-Shot Learning: A Comprehensive Study on Contrastive Captioners
SAE-FiRE: Enhancing Earnings Surprise Predictions Through Sparse Autoencoder Feature Selection
JAXFit: Trust Region Method for Nonlinear Least-Squares Curve Fitting on the GPU
A Survey on Side Information-driven Session-based Recommendation: From a Data-centric Perspective
A biophysical network model reveals the link between deficient inhibitory cognitive control and major neurotransmitter and neural connectivity hypotheses in schizophrenia
Yet another but more efficient black-box adversarial attack: tiling and evolution strategies
Towards k-connectivity in Heterogeneous Sensor Networks under Pairwise Key Predistribution
Quasi-optimal grouping for broadcast systems with hierarchical modulation
Modeling mandatory and discretionary lane changes using dynamic interaction networks
Action Recognition in Real-World Ambient Assisted Living Environment
Quasi-perfect codes in the ℓ p metric
Transcendence of Hecke-Mahler Series
CEIMVEN: An Approach of Cutting Edge Implementation of Modified Versions of EfficientNet (V1-V2) Architecture for Breast Cancer Detection and Classification from Ultrasound Images
Output Constrained Lossy Source Coding with Limited Common Randomness
3D Reconstruction of Crime Scenes and Design Considerations for an Interactive Investigation Tool
Identifying Video Game Debugging Bottlenecks: An Industry Perspective
Giving a Hand to Diffusion Models: a Two-Stage Approach to Improving Conditional Human Image Generation
ALX: Large Scale Matrix Factorization on TPUs
Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs
Reverberation time estimation on the ACE corpus using the SDD method
A Scalar Parameterized Mechanism for Two-Sided Markets
Fast-HotStuff: A Fast and Resilient HotStuff Protocol
Structurally Cyclic Petri Nets
Lower Bounds on Complexity of Lyapunov Functions for Switched Linear Systems
Predicting Business Angel Early-Stage Decision Making Using AI
Mind the gap: Challenges of deep learning approaches to Theory of Mind
Bridging Computational Notions of Depth
Deep Learning for MIR Tutorial
Rounding semidefinite programs for large-domain problems via Brownian motion
ConvNext Based Neural Network for Anti-Spoofing
Drowsiness detection in drivers with a smartwatch
A Novel Application Licensing Framework for Mobile Cloud Environment
Co-NAML-LSTUR: A Combined Model with Attentive Multi-View Learning and Long- and Short-term User Representations for News Recommendation
A Physics-Free Introduction to the Quantum Computation Model
Robust linear domain decomposition schemes for reduced non-linear fracture flow models
Comprehensive Comparative Study of Multi-Label Classification Methods
Spreading dynamics in networks under context-dependent behavior
A Single Scale Doesn't Fit All: Adaptive Motion Scaling for Efficient and Precise Teleoperation
From Zonal to Nodal Capacity Expansion Planning: Spatial Aggregation Impacts on a Realistic Test-Case
Asynchronous Crash-Tolerant Consensus in Directed Graphs: Randomization and Topology Knowledge
Experimental Characterization of the static behaviour of microcatntilevers electrostatically actuated
Readout Optical System of Sapphire Disks intended for Long-Term Data Storage
Detecting Grasping Sites in a Martian Lava Tube: Multi-Stage Perception Trade Study for ReachBo
State-of-the-art Advances of Deep-learning Linguistic Steganalysis Research
UcoSLAM: Simultaneous Localization and Mapping by Fusion of KeyPoints and Squared Planar Markers
Variable speed hydropower plant with virtual inertia control for provision of fast frequency reserves
Mechanism for Embossing Braille Characters on Paper: Conceptual Design
FLARE: Feature-based Lightweight Aggregation for Robust Evaluation of IoT Intrusion Detection
How 2 : How to learn from procedural How-to questions
Elmer FEM-Dakota: A unified open-source computational framework for electromagnetics and data analytics
Language Models Can Learn from Verbal Feedback Without Scalar Rewards
ConfTuner: Training Large Language Models to Express Their Confidence Verbally
Auditing spreadsheets: With or without a tool?
Statistical Complexity of Quantum Learning
Unveiling the Potential of Diffusion Large Language Model in Controllable Generation
Localized epidemic detection in networks with overwhelming noise
Testing D-Sequences for their Randomness
Optimal Sensor Placement for Target Localization and Tracking in 2D and 3D
Open-Set Knowledge-Based Visual Question Answering with Inference Paths
A Krylov Eigenvalue Solver Based on Filtered Time Domain Solutions
Mitigating Biases in Surgical Operating Rooms with Geometry
Explicit and Efficient Constructions of Coding Schemes for the Binary Deletion Channel and the Poisson Repeat Channel
DaCapo: a modular deep learning framework for scalable 3D image segmentation
In Honour of Ted Swart
Sinkhorn Flow: A Continuous-Time Framework for Understanding and Generalizing the Sinkhorn Algorithm
scCDCG: Efficient Deep Structural Clustering for single-cell RNA-seq via Deep Cut-informed Graph Embedding
Nonorthogonal Multiple Access for Beamforming in Energy-Harvesting Enabled Networks
Human-AI ecosystem with abrupt changes as a function of the composition
Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models
A GPU-based Compressible Combustion Solver for Applications Exhibiting Disparate Space and Time Scales
Unsupervised Contextual Anomaly Detection using Joint Deep Variational Generative Models
Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective from the Time-Frequency Analysis
A Metadata-Based Ecosystem to Improve the FAIRness of Research Software
Topology-Aware Blending Method for Implicit Heterogeneous Porous Model Design
A fast and accurate computation method for reflective diffraction simulations
IVE-GAN: Invariant Encoding Generative Adversarial Networks
Deep Adversarial Belief Networks
Routing Protocols for Cognitive Radio Networks: A Survey
Sliding suffix trees simplified
Learning To Find Shortest Collision-Free Paths From Images
On the Algebra in Boole's Laws of Thought
Reconciling complex organizations and data management: the Panopticon paradigm
Training neural networks with synthetic electrocardiograms
Static Pricing Guarantees for Queueing Systems
Online Learning with Uncertain Feedback Graphs
Pairwise Adjusted Mutual Information
Secure Over-the-Air Computation Against Multiple Eavesdroppers using Correlated Artificial Noise
The Evolution of Scientific Credit: When Authorship Norms Impede Collaboration
Circular External Difference Families: Construction and Non-Existence
On the Capacity Region of the Two-user Interference Channel with a Cognitive Relay
Two Player Hidden Pointer Chasing and Multi-Pass Lower Bounds in Turnstile Streams
ZIN: When and How to Learn Invariance by Environment Inference?
Acquiring Linguistic Knowledge from Multimodal Input
New families of cryptographic systems
Infringement of Tweets Geo-Location Privacy: an approach based on Graph Convolutional Neural Networks
Second-order Shape Optimization for Geometric Inverse Problems in Vision
Beyond Expectations: Learning with Stochastic Dominance Made Practical
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching
FV-UPatches: Enhancing Universality in Finger Vein Recognition
On Efficient Computation of DiRe Committees
Strategy Synthesis for General Deductive Games Based on SAT Solving
Collaborative Learning in Agentic Systems: A Collective AI is Greater Than the Sum of Its Parts
When Energy Trading meets Blockchain in Electrical Power System: The State of the Art
A Framework for Joint Unsupervised Learning of Cluster-Aware Embedding for Heterogeneous Networks
The spectrum of the Grigoriev-Laurent pseudomoments
Test-Time Scaling of Reasoning Models for Machine Translation
Taking Flight with Dialogue: Enabling Natural Language Control for PX4-based Drone Agent
Multidimensional beyond worst-case and almost-sure problems for mean-payoff objectives
Fairpriori: Improving Biased Subgroup Discovery for Deep Neural Network Fairness
Frequency & Channel Attention for computationally efficient sound event detection
A diffuse-interface approach for solid-state dewetting with anisotropic surface energies
Optimal Resource Allocation for Power-Efficient MC-NOMA with Imperfect Channel State Information
CATPlan: Loss-based Collision Prediction in End-to-End Autonomous Driving
Leveraging Port-Hamiltonian Theory for Impedance Control Benchmarking
Stein Coverage: a Variational Inference Approach to Distribution-matching Multisensor Deployment
Assessing Code Generation with Intermediate Languages
The Simplest Proof of Parikh's Theorem via Derivation Trees
Medical Codes Prediction from Clinical Notes: From Human Coders to Machines
Stability and L2-penalty in Model Averaging
N-free extensions of posets. Note on a theorem of P. A. Grillet
Downlink MIMO-RSMA with Successive Null-Space Precoding
Revisiting Quantum Algorithms for Linear Regressions: Quadratic Speedups without Data-Dependent Parameters
A 2-Dimensional Binary Search for Integer Pareto Frontiers
On Regret of Parametric Mismatch in Minimum Mean Square Error Estimation
Experience Capture in Shipbuilding through Computer Applications and Neural Networks
Can GPT models Follow Human Summarization Guidelines? Evaluating ChatGPT and GPT-4 for Dialogue Summarization
Bi-Objective Evolutionary Optimization for Large-Scale Open Pit Mine Scheduling Problem under Uncertainty with Chance Constraints
Support Basis: Fast Attention Beyond Bounded Entries
Hierarchical Oracles for Time-Dependent Networks
Cyrus+: A DRL-based Puncturing Solution to URLLC/eMBB Multiplexing in O-RAN
Suboptimal multirate MPC for five-level inverters
Predicting the Location of Bicycle-sharing Stations using OpenStreetMap Data
Situated Ground Truths: Enhancing Bias-Aware AI by Situating Data Labels with SituAnnotate
Investigating Regularization of Self-Play Language Models
Robust safety design for strict-feedback nonlinear systems via observer-based linear time varying feedback
Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decisions
Affine computation and affine automaton
GCFL: A Gradient Correction-based Federated Learning Framework for Privacy-preserving CPSS
Fusion Encoder Networks
Long Polar vs. LDPC Codes under Complexity-Constrained Decoding
Testing Is Not Boring: Characterizing Challenge in Software Testing Tasks
On the Role of Neural Collapse in Meta Learning Models for Few-shot Learning
Extending Jacobian matrix in proving stability for nonlinear systems with one equilibrium point such as compressor
Distributed Voltage Regulation of Active Distribution System Based on Enhanced Multi-agent Deep Reinforcement Learning
Beyond Fixed Morphologies: Learning Graph Policies with Trust Region Compensation in Variable Action Spaces
Indoor Localization for Autonomous Robot Navigation
Enhancing Traffic Prediction with Learnable Filter Module
Use of convexity in contour detection
Potential Field: Interpretable and Unified Representation for Trajectory Prediction
Gromov-Hausdorff stability of linkage-based hierarchical clustering methods
The XDEM Multi-physics and Multi-scale Simulation Technology: Review on DEM-CFD Coupling, Methodology and Engineering Applications
Introduction to the Usage of Open Data from the Large Hadron Collider for Computer Scientists in the Context of Machine Learning
Fairness in Autonomous Driving: Towards Understanding Confounding Factors in Object Detection under Challenging Weather
Linear and nonlinear system identification under 𝓁 1 - and group-Lasso regularization via L-BFGS-B
MobileAppScrutinator: A Simple yet Efficient Dynamic Analysis Approach for Detecting Privacy Leaks across Mobile OSs
On q-ary Bent and Plateaued Functions
Improving Semantic Similarity Measure Within a Recommender System Based-on RDF Graphs
Counting and sampling gene family evolutionary histories in the duplication-loss and duplication-loss-transfer models
Graph Analytics using the Vertica Relational Database
contextual: Evaluating Contextual Multi-Armed Bandit Problems in R
Fast Inference in Capsule Networks Using Accumulated Routing Coefficients
QR-MIX: Distributional Value Function Factorisation for Cooperative Multi-Agent Reinforcement Learning
Structural Controllability of Linear Time-invariant Systems
Few-Shot Learning in Video and 3D Object Detection: A Survey
Applications of Nature-Inspired Algorithms for Dimension Reduction: Enabling Efficient Data Analytics
CityLearn: Standardizing Research in Multi-Agent Reinforcement Learning for Demand Response and Urban Energy Management
ARHNet: Adaptive Region Harmonization for Lesion-aware Augmentation to Improve Segmentation Performance
Quantitative Attractor Analysis of High-Capacity Kernel Logistic Regression Hopfield Networks
Improving Clinical Question Answering with Multi-Task Learning: A Joint Approach for Answer Extraction and Medical Categorization
Extending programs with debug-related features, with application to hardware development
Searching for the Most Human-like Emergent Language
Adoption of Industry 4.0 technologies in airports - A systematic literature review
Optimizing Interactive Systems via Data-Driven Objectives
The importance of phase in complex compressive sensing
AquilaMoE: Efficient Training for MoE Models with Scale-Up and Scale-Out Strategies
Can AI Models be Jailbroken to Phish Elderly Victims? An End-to-End Evaluation
FedSDP: Explainable Differential Privacy in Federated Learning via Shapley Values
SALT-V: Lightweight Authentication for 5G V2X Broadcasting
Probing the contents of semantic representations from text, behavior, and brain data using the psychNorms metabase
Lamda: The Last Mile of the Datacenter Network Does matter
A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications
Differentially Private Federated Learning: A Systematic Review
Theoretical Foundations of Community Rating by a Private Monopolist Insurer: Framework, Regulation, and Numerical Analysis
Action Modifiers: Learning from Adverbs in Instructional Videos
A new approach to the Kasami codes of type 2
The FBHHRBNRSSSHK-Algorithm for Multiplication in $\mathbb{Z}_2^{5\times5}$ is still not the end of the story
Computing the maximum matching width is NP-hard
Object Tracking through Residual and Dense LSTMs
Prompt to Protection: A Comparative Study of Multimodal LLMs in Construction Hazard Recognition
Collaborative Contextualization: Bridging the Gap between Collaborative Filtering and Pre-trained Language Model
A comparative analysis of embedding models for patent similarity
HumanMaterial: Human Material Estimation from a Single Image via Progressive Training
HCT: Hybrid Convnet-Transformer for Parkinson's disease detection and severity prediction from gait
Crossing Roads of Federated Learning and Smart Grids: Overview, Challenges, and Perspectives
A relaxed proximal gradient descent algorithm for convergent plug-and-play with proximal denoiser
HQC-RMRS, an instantiation of the HQC encryption framework with a more efficient auxiliary error-correcting code
Tracking Object Positions in Reinforcement Learning: A Metric for Keypoint Detection (extended version)
Does elderly enjoy playing Bingo with a robot? A case study with the humanoid robot Nadine
Parametrising the Inhomogeneity Inducing Capacity of a Training Set, and its Impact on Supervised Learning
Zero-determinant strategies in iterated multi-strategy games
Utilizing ROS 1 and the Turtlebot3 in a Multi-Robot System
Constrained Sensing and Reliable State Estimation with Shallow Recurrent Decoders on a TRIGA Mark II Reactor
A robust design of time-varying internal model principle-based control for ultra-precision tracking in a direct-drive servo stage
Number of hidden states needed to physically implement a given conditional distribution
Automatic Taxonomy Extraction from Query Logs with no Additional Sources of Information
Clustering and Pruning in Causal Data Fusion
Reservoir Computation with Networks of Differentiating Neuron Ring Oscillators
A Federated Lightweight Authentication Protocol for the Internet of Things
FE-Adapter: Adapting Image-based Emotion Classifiers to Videos
Hybrid High-Order formulations with turbulence modelling capabilities for incompressible flow problems
IntenT5: Search Result Diversification using Causal Language Models
Harnessing the Web and Knowledge Graphs for Automated Impact Investing Scoring
L 1 -norm Regularized Indefinite Kernel Logistic Regression
Well quasi-orders and the functional interpretation
Rough Contact in General Rough Mereology
Two improved normalized subband adaptive filter algorithms with good robustness against impulsive interferences
Camera Calibration via Circular Patterns: A Comprehensive Framework with Measurement Uncertainty and Unbiased Projection Model
Compressed Sensing of EEG for Wireless Telemonitoring with Low Energy Consumption and Inexpensive Hardware
Depth-aware Volume Attention for Texture-less Stereo Matching
Nonlinear receding-horizon differential game for drone racing along a three-dimensional path
DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising
A Simple Yet Effective Pretraining Strategy for Graph Few-shot Learning
Modelling intracellular signalling networks using behaviour-based systems and the blackboard architecture
Power-Bandwidth Tradeoff in Multiuser Relay Channels with Opportunistic Scheduling
Enhancing LLM Agents for Code Generation with Possibility and Pass-rate Prioritized Experience Replay
Out of Distribution Detection, Generalization, and Robustness Triangle with Maximum Probability Theorem
I2I: Image to Icosahedral Projection for SO(3) Object Reasoning from Single-View Images
Anyone GAN Sing
LLM Agents Improve Semantic Code Search
Customizable Adaptive Regularization Techniques for B-Spline Modeling
Multi-label Classification for Automatic Tag Prediction in the Context of Programming Challenges
Robust Visual SLAM with Point and Line Features
A large-scale comparison of social media coverage and mentions captured by the two altmetric aggregators- Altmetric.com and PlumX
Distributed Energy Beamforming with One-Bit Feedback
Modular Blended Attention Network for Video Question Answering
Lattice Green's Functions of the Higher-Dimensional Face-Centered Cubic Lattices
Navigation Framework for Blind and Visually Impaired Persons based on Sensor Fusion
Evaluating the Effectiveness of Automated Identity Masking (AIM) Methods with Human Perception
Search-Convolutional Neural Networks
Graph-Guided Textual Explanation Generation Framework
Saliency Detection by Forward and Backward Cues in Deep-CNNs
Encoding Integers and Rationals on Neuromorphic Computers using Virtual Neuron
The SA-FARI Dataset: Segment Anything in Footage of Animals for Recognition and Identification
Reinforcement learning-based motion imitation for physiologically plausible musculoskeletal motor control
Cut-Matching Games for Bipartiteness Ratio of Undirected Graphs
Virtual finite element and hyperbolic problems: the PAMPA algorithm
A Simple "Try Again" Can Elicit Multi-Turn LLM Reasoning
GPU-accelerated Modeling of Biological Regulatory Networks
An Efficient Real Time Method of Fingertip Detection
Harmonic content analysis of a soft starting variable frequency motor drive based on FPGA
QuAnTS: Question Answering on Time Series
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks
HalluAudio: Hallucinating Frequency as Concepts for Few-Shot Audio Classification
Multiple Domain Secure Routing for Wireless Sensor Networks
Nahid: AI-based Algorithm for operating fully-automatic surgery
When Scale Meets Diversity: Evaluating Language Models on Fine-Grained Multilingual Claim Verification
Sketch-1-to-3: One Single Sketch to 3D Detailed Face Reconstruction
Comparison of end-to-end neural network architectures and data augmentation methods for automatic infant motility assessment using wearable sensors
Cross-Dataset Semantic Segmentation Performance Analysis: Unifying NIST Point Cloud City Datasets for 3D Deep Learning
A SER-based Device Selection Mechanism in Multi-bits Quantization Federated Learning
ValueSim: Generating Backstories to Model Individual Value Systems
Sampling Methods for Bayesian Inference Involving Convergent Noisy Approximations of Forward Maps
A new perspective of paramodulation complexity by solving massive 8 puzzles
Uncertainty measurement for complex event prediction in safety-critical systems
Flow-Aided Flight Through Dynamic Clutters From Point To Motion
Deep Learning for Political Science
On the Fragility of Contribution Score Computation in Federated Learning
Möbius Photogrammetry
Performance bound of the intensity-based model for noisy phase retrieval
An Introduction to Machine Unlearning
Towards a Theory of Pragmatic Information
A simpler strong refutation of random k-XOR
MAC Wiretap Channels with Confidential and Open Messages: Improved Achievable Region and Low-complexity Precoder Design
Can non-specialists provide high quality gold standard labels in challenging modalities?
Distributed Control System for the Test Interferometer of the ALMA Project
Perception, Prestige and PageRank
Bridging Offline and Online Reinforcement Learning for LLMs
An Invariant Linear Quadratic Gaussian controller for a simplified car
Guided Diffusion for the Discovery of New Superconductors
Exploring Resolution Fields for Scalable Image Compression with Uncertainty Guidance
Spiking SiamFC++: Deep Spiking Neural Network for Object Tracking
IMJENSE: Scan-specific Implicit Representation for Joint Coil Sensitivity and Image Estimation in Parallel MRI
Monitoring Software Reliability using Statistical Process control: An MMLE approach
Unveiling the Mathematical Reasoning in DeepSeek Models: A Comparative Study of Large Language Models
On the Performance of Millimeter Wave-based RF-FSO Multi-hop and Mesh Networks
Towards Cross-Domain Single Blood Cell Image Classification via Large-Scale LoRA-based Segment Anything Model
Optimizing Information Access in Networks via Edge Augmentation
Omnidirectional DSO: Direct Sparse Odometry with Fisheye Cameras
Agent-based environment for knowledge integration
Random sampling of permutations through quantum circuits
Learning to Transport with Neural Networks
ASC me to Do Anything: Multi-task Training for Embodied AI
Regret Analysis of a Markov Policy Gradient Algorithm for Multi-arm Bandits
Reducing Intraspecies and Interspecies Covariate Shift in Traumatic Brain Injury EEG of Humans and Mice Using Transfer Euclidean Alignment
Deep Learning-based Prediction of Clinical Trial Enrollment with Uncertainty Estimates