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Articles by Telmo Silva
Computer Science > Machine Learning
In financial forecasting, predictive performance depends not only on which model is trained, but also on how the trained model is deployed. We study this issue in multi-horizon volatility forecasting. Our starting point is that a trained multi-output (MIMO) forecaster does not define a single deployable predictor: by changing the inference-time rollout rule, the same trained model induces a family of forecasts with different accuracy and cost profiles.
Toward explainable AI approaches for breast imaging: adapting foundation models to diverse populations
arXiv:2511.17828 (cs) View PDF HTML (experimental) Comments: Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI) Cite as: arXiv:2511.17828 [cs.CV] (or arXiv:2511.17828v1 [cs.CV] for this version) https://doi.org/10.48550/arXiv.2511.17828 Submission history From: Guilherme Cavalcante [ view email] [v1] Fri, 21 Nov 2025 22:45:50 UTC (2,989 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Connected Papers Toggle Connected...
Epistemic Error Decomposition for Multi-step Time Series Forecasting: Rethinking Bias-Variance in Recursive and Direct Strategies
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Uso de la Televisión Digital Interactiva para la Practica de Ejercicios en Adultos Mayores como Prevención del Riesgo de Caídas y Mejora en la Composición Corporal
Ayuda Buscar en la ayuda Buscar en la ayuda Uso de la Televisión Digital Interactiva para la Practica de Ejercicios en Adultos Mayores como Prevención del Riesgo de Caídas y Mejora en la Composición Corporal María Magdalena Rosado-Álvarez [1] ; Ruth Adriana Yaguachi-Alarcón [2] ; Carlos Luis Poveda-Loor [2] ; Álvaro Diego Espinoza-Burgos [3] ; María José Abásolo [1] ; Telmo Silva [4] [1] Facultad de Informática Universidad Nacional de la Plata (UNLP), Argentina.
[2510.08009] Language Models Do Not Embed Numbers Continuously
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Toward a robust lesion detection model in breast DCE-MRI: adapting foundation models to high-risk women
[Submitted on 2 Sep 2025] Title:Toward a robust lesion detection model in breast DCE-MRI: adapting foundation models to high-risk women Authors:Gabriel A.B. do Nascimento , Vincent Dong , Guilherme J. Cavalcante , Alex Nguyen , Thaís G. do Rêgo , Yuri Malheiros , Telmo M. Silva Filho , Carla R. Zeballos Torrez , James C. Gee , Anne Marie McCarthy , Andrew D. A.
The Fundamental Issues with Email and How PreVeil Addresses Them
Email is the backbone of modern communication, both in personal and professional settings. Despite its widespread use and critical importance, traditional email systems suffer from significant security vulnerabilities at three key points: the user, the server that stores and processes emails, and the administrators who manage the system. These vulnerabilities can lead to data breaches, unauthorized access, and other cyber threats.
Telmo Silva
By Telmo Silva Email is the backbone of modern communication, both in personal and professional settings. Despite its widespread use and critical importance, traditional email systems suffer from significant security vulnerabilities at three key points: the user, the server that stores and processes emails, and the administrators who manage the system. These vulnerabilities ... Read More
[2311.03976] Towards Generalised Pre-Training of Graph Models
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
10 Keys to Successful BI Implementation
Why is it so challenging to get Business Intelligence (BI) adopted, implemented, and leveraged in an organization? Unlike CRM and ERP tools, which are essentially data collectors, BI requires just as much thought to implement and sometimes even more resources than its transactional counterparts. Yet many organizations continue to struggle to ensure that it is being used effectively. Why?
The Problem With Company Manifestos
I have personally experienced growth in smaller companies where going past five or six employees was a challenge. Again at 12, and again at 20, and again at 50. I imagine that there are certain saturation points where the mechanics of a company are not right for a certain number of people to work together. The Challenges of Growth If you did not start the company with clear and straightforward processes, then you will probably need them at some point.
What Is AI's Role in Your Business' Future?
Artificial Intelligence (AI) has become the software equivalent of the semiconductor -ubiquitous, unseen, and capable of changing the shape of society and business. And it is embedded into increasing numbers of systems and applications in a manner that is both transparent and transformational. It's here now, and its presence is only growing. Expect AI to be embedded in systems that deal with customers, suppliers, employees, machines, transport, and every other aspect of business activity.
Microsoft Azure SQL Database: vCore vs. DTU
We love Microsoft Azure. It is by far the most developed cloud providers in IaaS, PaaS, and even SaaS (Office 365) that you can get. It is well thought out from an administration point of view, a strong API to control most aspects of it, and offers as many developer-oriented services as you can imagine. Much like Amazon, it also offers its variety of databases as a service.
What is AI’s Role in Your Business’ Future?
Resistance is futile. Artificial Intelligence (AI) is here, now. Artificial Intelligence (AI) has become the software equivalent of the semiconductor —ubiquitous, unseen, and capable of changing the shape of society and business. And it is embedded into increasing numbers of systems and applications in a manner that is both transparent and transformational. It’s here now, and its presence is only growing.
The Future of Data and Business Analytics: What’s Coming and What You Need to Know Now
One thing is certain – data analytics will only gain momentum for the foreseeable future and will be at the core of countless new technology solutions. Reliance on Business Intelligence (BI) and Analytics now outweighs strategy as the key requirement in business planning. But what will business analysis look like in the coming years? How will today’s version of BI and data analytics evolve over time, and how can you ensure that your business stays competitive by using new resources that emerge?
3 Surprising Ways Business Intelligence is Changing the Role of the CIO and CTO
There has been a lot of conversation about the onslaught of new marketing technology solutions arriving in the market and the challenge it creates for a CMO trying to stay ahead of the game. But consider how that growth and related changes affect the CIO and CTO. Their challenge is not choosing the right solutions, enforcing adoption or proving the value – as it is for the CMO. Their challenge is different entirely, yet just as demanding.
4 Ways IT Leaders Can Make Themselves Invaluable with Business Intelligence Tools
Organizations choosing to purchase and implement a business intelligence (BI) solution realize the value it can bring to their daily operations and future planning. This level of strategic investment requires a substantial commitment from the responsible teams to carefully plan, implement and enforce user adoption across the company to ensure the anticipated value is realized. IT leaders are perfectly positioned to drive the success of this type of endeavor.
5 Expert Tips for Selecting the Right Business Intelligence Dashboard Tool
Business Intelligence tools have become the go-to solution when urgent decision-making is required thanks to their ability to provide in-depth data analysis quickly and in a consumable format. As the amount of business data continues to multiply and the pace of business seems only to increase, the need to manipulate and analyze data in an easy-to-use tool is undeniable.
3 Business Intelligence Trends Every C-Level Leader Should Plan for in the Near Future
Business Intelligence (BI) has quickly moved from nice-to-have technology to need-to-have technology. As evidence of the value continues to show itself in the form of quantifiable increases to the bottom line, companies are scrambling to implement BI tools in the most advantageous ways to edge out their competition. BI tools are evolving at a rapid pace, bringing new capabilities to market quicker than companies can effectively implement them.
Mmmm… Marketing Madness Mind Map
Yeah, I made that up. You never know – it may catch on like Web 2.0 or Big Data. But first… We have a great sales and marketing team here at ClicData.
Don’t Get Lost in Big Data; Get Results from the Right Data
For years, company executives have yearned for more detailed facts and figures that would shed light on the deficiencies, highlights and challenges responsible for fluctuating business metrics. Searching for underlying causes that explain things like decreases in sales numbers, success rates of marketing campaigns and budget deviations seemed nearly impossible.
3 Reasons Not All CRMs Are Created Equal
CRM systems are the backbone of most sales organizations today. In a growing number of companies, it also serves as the system of record for marketing and customer support.
3 Surprising Business Intelligence Dashboards Every Accounting Firm Should Be Tracking
Accountants have long been the backbone of any healthy company, providing financial updates, monitoring cash flow, ensuring payroll and taxes are up to date, and more. They are undoubtedly one of the most critical departments in an organization. Over the years, they’ve gained an even larger and more senior role in many organizations by analyzing and reporting on financial data and participating in decision-making processes.
The True Value of a Business Data Warehouse
What if I told you that if you build a Data Warehouse you will increase the efficiency of your company saving you money and time? You heard it right. You can increase your efficiency, or rather, decrease mundane and worthless tasks that your team is doing in order to do reporting. What kind of reporting? Well, pretty much anything they do should be measured or reported otherwise how can you improve? How do you know you are doing better now than before?
Tips to Make Sure Your BI Projects Will Succeed In 2017!
It seems that after 20 years we still have articles being written on “Why do Business Intelligence Projects Fail?” Many of these articles summarize the reasons typically within 3 general areas: 1. Tools – were too expensive, took too long to implement – were not easy to use, complex to adjust/modify – they had great visualization but poor data management – great datawarehouse but visualization was poor 2.
5 Tools to Select the Best BI Software for the Job
There are a lot of buying process flows depending on your company’s culture, size, IT staff, influence and many other factors. Most software purchases typically go something like: “Hey have you seen this app? It can do this and that and this – isn’t it cool? Let’s get a few licenses for the team.” In larger companies the process seems to be more detailed but in essence it is the same.
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