7 citations · 7 across the 3 of their papers we have counts for
9 papers
Retrieval, Scoring, and Decoding Shape Performance and Stability in LLM-based Conversational Recommendation
Ante Kapetanovic, Tomislav Duricic, Andro Mercep +1
Large language models (LLMs) are increasingly used as rerankers in conversational recommender systems, yet measured gains depend strongly on the retrieval and inference protocol. O…
A Phased Workflow for Operating LLM-Based Coding Agents
Ante Kapetanovic, Tomislav Duricic, Andro Mercep +1
LLM-based coding agents combine a foundation model with a harness that shapes agent behavior. For non-trivial tasks, how practitioners structure their work with the coding agents d…
Conversational Recommendation over Live E-Commerce Catalogues with Self-Refreshing Retrieval
Ante Kapetanovic, Tomislav Duricic, Dionizije Fa +2
Conversational recommender systems based on large language models (LLMs) are usually evaluated on static, pre-indexed item collections, yet e-commerce catalogues change continuousl…
Anchoring Bias in LLM-as-a-Judge Systems: Prior Scores Compromise Evaluation Independence
Ante Kapetanovic, Kemal Altwlkany, Andro Mercep +2
Large language models (LLMs) increasingly assess generated content, giving rise to the LLM-as-a-Judge paradigm. These systems now score outputs, filter content, and gate iterative…
Robocalls: A Worldwide or US-only Problem? Analyzing Spam and Fraud in International Phone Calls
Kemal Altwlkany, Andro Merćep, Tomislav Đuričić +2
Unsolicited automated phone calls (robocalls) are a serious threat: in the US alone, these calls resulted in reported losses of 1.1$ billion during 2025. Phishing and spoofing cons…
Comparative Analysis of Modern Machine Learning Models for Retail Sales Forecasting
Luka Hobor, Mario Brcic, Lidija Polutnik +1
Accurate demand forecasting is critical for brick-and-mortar retailers to optimize inventory management and minimize costs. This study evaluates statistical baselines, tree-based e…
Standardized Benchmark Dataset for Localized Exposure to a Realistic Source at 1090 GHz
Ante Kapetanovic, Dragan Poljak, Kun Li
The lack of freely available standardized datasets represents an aggravating factor during the development and testing the performance of novel computational techniques in exposure…
IoT Wallet: Machine Learning-based Sensor Portfolio Application
Petar Šolić, Ante Lojić Kapetanović, Tomislav Županović +3
In this paper an application for building sensor wallet is presented. Currently, given system collects sensor data from The Things Network (TTN) cloud system, stores the data into…
Modeling the Epidemic Outbreak and Dynamics of COVID-19 in Croatia
Ante Lojić Kapetanović, Dragan Poljak
The paper deals with a modeling of the ongoing epidemic caused by Coronavirus disease 2019 (COVID-19) on the closed territory of the Republic of Croatia. Using the official public…