activity
20172024
most citedHybrid Ensemble-Based Travel Mode Prediction

3 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2024★ 3 cited

Hybrid Ensemble-Based Travel Mode Prediction

Paweł Golik, Maciej Grzenda, Elżbieta Sienkiewicz

Travel mode choice (TMC) prediction, which can be formulated as a classification task, helps in understanding what makes citizens choose different modes of transport for individual…

cs.LG2024★ 2 cited

Streaming detection of significant delay changes in public transport systems

Przemysław Wrona, Maciej Grzenda, Marcin Luckner

Public transport systems are expected to reduce pollution and contribute to sustainable development. However, disruptions in public transport such as delays may negatively affect m…

cs.LG2021★ 1 cited

A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data Streams

Heitor Murilo Gomes, Maciej Grzenda, Rodrigo Mello +3

Unlabelled data appear in many domains and are particularly relevant to streaming applications, where even though data is abundant, labelled data is rare. To address the learning p…

cs.DC2020★ 1 cited

S2CE: A Hybrid Cloud and Edge Orchestrator for Mining Exascale Distributed Streams

Nicolas Kourtellis, Herodotos Herodotou, Maciej Grzenda +2

The explosive increase in volume, velocity, variety, and veracity of data generated by distributed and heterogeneous nodes such as IoT and other devices, continuously challenge the…

cs.NI2017★ 1 cited

Combining Stream Mining and Neural Networks for Short Term Delay Prediction

Maciej Grzenda, Karolina Kwasiborska, Tomasz Zaremba

The systems monitoring the location of public transport vehicles rely on wireless transmission. The location readings from GPS-based devices are received with some latency caused b…