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09/06/2023
Geometric Infinitely Divisible Autoregressive Models
In this article, we discuss some geometric infinitely divisible (gid) ra...
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09/03/2023
Saturn: An Optimized Data System for Large Model Deep Learning Workloads
Large language models such as GPT-3 ChatGPT have transformed deep le...
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05/22/2023
An Optimized Tri-store System for Multi-model Data Analytics
Data science applications increasingly rely on heterogeneous data source...
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03/22/2023
Humbert Generalized Fractional Differenced ARMA Processes
In this article, we use the generating functions of the Humbert polynomi...
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12/06/2022
Objects as Spatio-Temporal 2.5D points
Determining accurate bird's eye view (BEV) positions of objects and trac...
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08/30/2022
GARTFIMA Process and its Empirical Spectral Density Based Estimation
In this article, we introduce a Gegenbauer autoregressive tempered fract...
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12/01/2021
Processing Analytical Queries in the AWESOME Polystore [Information Systems Architectures]
Modern big data applications usually involve heterogeneous data sources ...
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11/12/2021
The expectation-maximization algorithm for autoregressive models with normal inverse Gaussian innovations
The autoregressive (AR) models are used to represent the time-varying ra...
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10/16/2021
Hydra: A System for Large Multi-Model Deep Learning
In many deep learning (DL) applications, the desire for ever higher accu...
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06/06/2021
Tempered Stable Autoregressive Models
In this article, we introduce and study a one sided tempered stable auto...
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05/30/2021
Normal Inverse Gaussian Autoregressive Model Using EM Algorithm
In this article, normal inverse Gaussian (NIG) autoregressive model is i...
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08/13/2020
Fractional Poisson Processes of Order K
In this article, we introduce and study time- and space-fractional Poiss...
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05/16/2020
A Methodology to Assess the Human Factors Associated with Lunar Teleoperated Assembly Tasks
Low-latency telerobotics can enable more intricate surface tasks on extr...
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11/12/2019
Morphological Segmentation Inside-Out
Morphological segmentation has traditionally been modeled with non-hiera...
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10/02/2019
Understanding and Benchmarking the Impact of GDPR on Database Systems
The General Data Protection Regulation (GDPR) was introduced in Europe t...
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08/14/2019
Predicting Eating Events in Free Living Individuals -- A Technical Report
This technical report records the experiments of applying multiple machi...
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03/29/2019
SysML: The New Frontier of Machine Learning Systems
Machine learning (ML) techniques are enjoying rapidly increasing adoptio...
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02/02/2019
Belief dynamics extraction
Animal behavior is not driven simply by its current observations, but is...
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11/30/2018
Document Structure Measure for Hypernym discovery
Hypernym discovery is the problem of finding terms that have is-a relati...
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11/23/2018
Fine Grained Classification of Personal Data Entities
Entity Type Classification can be defined as the task of assigning categ...
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10/20/2018
Temporal Proximity induces Attributes Similarity
Users consume their favorite content in temporal proximity of consumptio...
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09/20/2018
Deep Domain Adaptation under Deep Label Scarcity
The goal behind Domain Adaptation (DA) is to leverage the labeled exampl...
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08/23/2018
Fractional Risk Process in Insurance
Important models in insurance, for example the Carmér--Lundberg theory a...
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07/16/2018
Bipedal Walking Robot using Deep Deterministic Policy Gradient
Machine learning algorithms have found several applications in the field...
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05/26/2018
Model-based Pricing for Machine Learning in a Data Marketplace
Data analytics using machine learning (ML) has become ubiquitous in scie...
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01/08/2018
In-RDBMS Hardware Acceleration of Advanced Analytics
The data revolution is fueled by advances in several areas, including da...
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09/13/2017
Dialogue Act Sequence Labeling using Hierarchical encoder with CRF
Dialogue Act recognition associate dialogue acts (i.e., semantic labels)...
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02/22/2017
When Lempel-Ziv-Welch Meets Machine Learning: A Case Study of Accelerating Machine Learning using Coding
In this paper we study the use of coding techniques to accelerate machin...
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06/15/2016
Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics
While significant progress has been made separately on analytics systems...
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08/21/2012