SigParser

In this post, I described my journey implementing XSD 1.1 validation in Java. It’s much less easy than I had expected in the first place

Everything You Need to Know About XML Schema Validation 1.1 in Java

Discover how Io’s volcanic hot spots fuel its atmosphere, drive massive gas plumes, and contribute to its ongoing mass loss in Jupiter’s intense environment.

Io: The Volcanic Moon That Won’t Stop Spewing

Explore how combining supervised machine learning and anomaly detection can improve fraud prediction.


Anomaly Detection: The Dark Horse of Fraud Detection

In this paper, researchers analyze European news consumption patterns, misinformation sources, and audience behaviors on Twitter.

News and Misinformation Consumption in Europe: Results and Discussion

This work addresses the difficult and underexplored case of supporting users who have very sparse interactions but post informative review texts.

Recommendations by Concise User Profiles from Review Text: Experimental Results

Gain insights into CLHE's overall superiority, ablation study results, and its performance in tackling specific issues like cold-start items and sparsity in bu

CLHE's Triumph in Multimodal Bundle Construction Experimentation

From worst-case bias to variance trade-offs, discover how these algorithms outperform competitors in both empirical and numerical studies. 

Design of Cluster Experiments: Empirical Illustration and Numerical Studies

No need to be an expert in thousands of combinations of SQL, data types, and databases to master SQL queries. A good SQL agnostic parser will take care of all. 

SQL Queries: Why You Need SQL-Agnostic Parsing

Code review and other quality assurance methods are incredibly useful tools that can be facilitated by Roslyn which is not available for SQL, though it should. 

We need Roslyn for SQL!

Parsing SQL queries provides superpowers for monitoring data health. This post describes how to get started on parsing SQL for data observability. 

14 Open Source SQL Parsers

How to Find The Stinky Parts of Your Code [Part XI]

Today, we are going to discuss a method proposed by researchers from four institutions one of which is ByteDance AI Lab (known for their TikTok App).

Using Sparse R-CNN As A Detection Model

Universal Approximation Theorem says that Feed-Forward Neural Network (also known as Multi-layered Network of Neurons) can act as powerful approximation to learn the non-linear relationship between the input and output. But the problem with the Feed-Forward Neural Network is that the network is prone to over-fitting due to the presence of many parameters within the network to learn.

What Are Convolution Neural Networks? [ELI5]

Before begin on our topic, let’s understand..

Some State of the Art Optimizers in Neural Networks

It’s so hard to know how to decorate a space. What color should the walls be? What sort of furniture works best for these room dimensions? Where is the best place to hang this picture of <a href="https://www.redbubble.com/people/memesense/works/28522255-jean-claude-van-damme-holding-a-dog?finish=semi_gloss&amp;p=poster&amp;size=small&amp;utm_source=google&amp;utm_medium=cpc&amp;utm_campaign=g.pla+notset&amp;country_code=US&amp;gclid=Cj0KCQiA1NbhBRCBARIsAKOTmUv4zBAt2LIGlnl8xkc4Lxuvy9CMylYNU0EpdSOxN7wKND1pT1W8mK0aAmDOEALw_wcB" target="_blank">Jean Claude Van Damme holding a puppy</a>?

Crowd-Source your decor with Serverless and Lightbulbs

<em>This is the summary of “Reinventing Societal Infrastructure with Technology”. The full version and slightly revised version will be released the end of January. Feedback, questions, and new ideas are welcomed.</em>

Reinventing Societal Infrastructure with Technology: The Summary

A while back I wrote <a href="https://medium.com/@albarrentine/statistical-nlp-on-openstreetmap-b9d573e6cc86">a piece</a> publicly introducing <a href="https://github.com/openvenues/libpostal">libpostal</a>, an open-source, open-data-trained C library and companion NLP model for parsing and normalizing international street addresses. Since then, libpostal’s user base has grown to include governments, startups, large companies, researchers, and data journalists from over a dozen countries around the&nbsp;world.

Statistical NLP on OpenStreetMap: Part 2

SigParser is a product for businesses to quickly turn their email server into a valuable set of insights and contact details

SIGPARSER

sigparser.com

1-10 emps

Since 2018

SigParser's stories on HackerNoon

Everything You Need to Know About XML Schema Validation 1.1 in Java

Io: The Volcanic Moon That Won’t Stop Spewing

Anomaly Detection: The Dark Horse of Fraud Detection

News and Misinformation Consumption in Europe: Results and Discussion

Recommendations by Concise User Profiles from Review Text: Experimental Results

CLHE's Triumph in Multimodal Bundle Construction Experimentation

Design of Cluster Experiments: Empirical Illustration and Numerical Studies

SQL Queries: Why You Need SQL-Agnostic Parsing

We need Roslyn for SQL!

14 Open Source SQL Parsers

How to Find The Stinky Parts of Your Code [Part XI]

Using Sparse R-CNN As A Detection Model

What Are Convolution Neural Networks? [ELI5]

Some State of the Art Optimizers in Neural Networks

Crowd-Source your decor with Serverless and Lightbulbs

Reinventing Societal Infrastructure with Technology: The Summary

Statistical NLP on OpenStreetMap: Part 2

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Reviews About SigParser

SigParser WIKI

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