Category Archives: Research diary

My note about my research

The Anatomy of a Scientific Review: Surviving the Ultimate Judgment in Computer Science and Medical Sciences

You hit “Submit” and then… silence. Months of work, hundreds of edits, one click—and the long wait for a verdict from those enigmatic figures: Reviewer 1, Reviewer 2… It’s one of the most stressful moments in a researcher’s life. But what actually happens on the other side? Peer review is the backbone of science—a quality-control system meant to ensure that published work is important, original, and rigorous (Sense about Science).

Continue reading

A Researcher’s Roadmap: A Practical Framework for Rigorous Science

After many years spent in research, the scientific process—from idea to publication—becomes second nature. However, this intuition, though invaluable, deserves to be structured. The desire to describe this workflow stems not only from a need to better understand my own work but also from the desire to create a map that can help others navigate this complex terrain.

One inspiration was a humorous but accurate list from the book “We Have No Idea: A Guide to the Unknown Universe” by Jorge Cham and Daniel Whiteson:

  1. Organize what you know
  2. Look for patterns
  3. Ask questions
  4. Buy a tweed jacket with elbow patches

However, scientific work is, above all, the art of asking the right questions. It’s not about “beating the baseline” but about understanding a phenomenon. The question “why?” is a researcher’s compass. In turn, understanding often means the ability to reconstruct a mechanism (e.g., by implementing code or a formal proof), although in some areas of mathematics, a complete, verifiable line of reasoning is sufficient.

I have noticed that whether I am writing an empirical paper in Natural Language Processing (NLP) or a systematic review with a meta-analysis, a common skeleton lies beneath the surface. The result of these observations is the working framework below, which attempts to visualize this skeleton.

Continue reading

Transformer – Roadmap

Introduction

Welcome to my postsseries on the inner workings of Transformers, with a focus on their application in large language models (LLMs). Over time, I’ll break down key components—like self-attention, positional encoding, and layer normalization—highlighting how they contribute to the remarkable capabilities of modern LLMs. Each part of this post will explore one element in depth, grounded in both theoretical understanding and practical relevance. The goal is to make these complex systems more transparent and accessible, especially for those interested in research, development, or curious exploration. Let’s begin this journey into the architecture behind today’s most powerful AI models.

Reflections on Document Classification Research: Insights from a Systematic Review

Recently, I published an article titled “The Outcomes and Publication Standards of Research Descriptions in Document Classification: A Systematic Review.” The study analyzed over 100 research papers to identify trends, challenges, and gaps in document classification research.

Due to space limitations, many interesting observations and insights did not make it into the final publication. Instead, they were documented in the accompanying technical report available on GitHub. In this post, I want to highlight some of these additional insights and discuss what they mean for future research in document classification.

Continue reading

Designing Information Systems Through Text Mining: A Case Study of Fire Service Documentation

On September 25, 2013, at 12:15 PM in room WA-130 of the Rectorate building at Białystok University of Technology, I successfully defended my doctoral dissertation titled “Text Data Analysis in Designing a Selected Information System: A Case Study of National Fire Service Incident Documentation.” A detailed description of the proposed method can be found in the Publications – Seminars section or downloaded directly here. Below is a simplified overview of my research.

Questionnaire for fire service

I finished implementation  a questionnaire for fire service on the previous day. This questionnaire was implemented for quantitative/qualitative research. The destination of this research is a creation a hybrid decision support system for Polish fire service.  It’s a complicate problem which require many of different  researches. This research integrate solution from logistic, transport, game theory,  artificial intelligence, linguistics, retrieval of text information  like a text mining and especially text reprezentation and his processing.  All project was described by process of design for trustworthy software (DFTS). The results of  investigations will be published after the completion questionnaire by respondenst.

Questionnaire was implemented using web technologies like a JAVA+JSF+Hibernate+MySQL.

From the hypothesis to the thesis

First step in investigations is a create of  hypothesis.  Hypothesis is a question or assumption of results. In next step is created a proof which negated or confirmed hypothesis. After that is received a thesis. Thesis plus proof equal theorem.

In this post was described a simple model of  theorem which have a multi conclusions. In next part for another day I will try explain this conclusions.

What is a knowladge?

This day I spend on writing some part of article about what’s konowladge mean. I defined a formal model of knowladge and I hope that I could public this material in SGSP jurnal for a few mounth. When this aricle will be publish I will wirte about it in this blog.