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Found 14 papers, 3 papers with code
ECC Analyzer: Extract Trading Signal from Earnings Conference Calls using Large Language Model for Stock Performance Prediction
In the realm of financial analytics, leveraging unstructured data, such as earnings conference calls (ECCs), to forecast stock performance is a critical challenge that has attracted both academics and investors.
RiskLabs: Predicting Financial Risk Using Large Language Model Based on Multi-Sources Data
Through comparative experiments, we demonstrate how different data sources contribute to financial risk assessment and discuss the critical role of LLMs in this context.
GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds
We utilize this property to obtain a backbone skeleton of a LiDAR scan in the form of a single connected component that is a proxy to its global topology.
Differentiable SLAM Helps Deep Learning-based LiDAR Perception Tasks
We investigate a new paradigm that uses differentiable SLAM architectures in a self-supervised manner to train end-to-end deep learning models in various LiDAR based applications.
MOVES: Movable and Moving LiDAR Scene Segmentation in Label-Free settings using Static Reconstruction
In the real world however, LiDAR scans consist of non-stationary dynamic structures - moving and movable objects.
Deep Learning based Skin-layer Segmentation for Characterizing Cutaneous Wounds from Optical Coherence Tomography Images
This work demonstrated the use of OCT as an effective imaging tool for objective and non-invasive assessments of wound severity, the potential for healing, and healing progress by measuring the optical characteristics of skin components.
Explaining Results of Multi-Criteria Decision Making
We introduce a method for explaining the results of various linear and hierarchical multi-criteria decision-making (MCDM) techniques such as WSM and AHP.
Detecting key Soccer match events to create highlights using Computer Vision
The research and data science community has been fascinated with the development of automatic systems for the detection of key events in a video.
A simulation driven optimization algorithm for scheduling sorting center operations
Parcel sorting operations in logistics enterprises aim to achieve a high throughput of parcels through sorting centers.
Structured Prediction in NLP -- A survey
Over the last several years, the field of Structured prediction in NLP has had seen huge advancements with sophisticated probabilistic graphical models, energy-based networks, and its combination with deep learning-based approaches.
DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder
We show that DSLR, unlike the existing baselines, is a practically viable model with its reconstruction quality within the tolerable limits for tasks pertaining to autonomous navigation like SLAM in dynamic environments.
Approximation of discontinuous functions by Kantorovich exponential sampling series
The Kantorovich exponential sampling series at jump discontinuities of the bounded measurable signal f has been analysed.
Functional Analysis Numerical Analysis Numerical Analysis
Approximation of Discontinuous Signals by Exponential Sampling Series
We analyse the behaviour of the exponential sampling series $S_{w}^{\chi}f$ at jump discontinuity of the bounded signal $f.$ We obtain a representation lemma that is used for analysing the series $S_{w}^{\chi}f$ and we establish approximation of jump discontinuity functions by the series $S_{w}^{\chi}f.$ The rate of approximation of the exponential sampling series $S_{w}^{\chi}f$ is obtained in terms of logarithmic modulus of continuity of functions and the round-off and time-jitter errors are also studied.
Functional Analysis Classical Analysis and ODEs
A machine learning framework for computationally expensive transient models
The promise of machine learning has been explored in a variety of scientific disciplines in the last few years, however, its application on first-principles based computationally expensive tools is still in nascent stage.
