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Št. zadetkov: 6
Accessible web for deaf and hard of hearing with transparent multimodal sign language interpreter module
Primož Kosec, Matjaž Debevc, Andreas Holzinger
Doktorska disertacija
Oznake: sign language;deaf and hard of hearing;video;subtitles;accessibility;evaluation;
Svetovni splet je postal neizogiben za vsakokar ne glede na starost, spol, kulturo, zdravje ali individualne posebne potrebe. Žal pa so informacije na svetovnem spletu še vedno večinoma v pisni obliki in tako nedostopne gluhim innaglušnim uporabnikom, ki uporabljajo znakovni jezik kot orodje za komu ...
Leto: 2011 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
ǂAn ǂanswer to "Who needs a stylus?" on handwriting recognition on mobile device
Andreas Holzinger, Gig Searle, Bernhard Peischl, Matjaž Debevc
Objavljeni znanstveni prispevek na konferenci
Oznake: prepoznavanje pisave;mobilno računalništvo;komunikacija človek-stroj;handwriting recognition;pen-based input;mobile computer;human-computer interaction;
An answer to "Who needs a stylus?" on handwriting recognition on mobile device
Leto: 2012 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
Towards a low-cost mobile subcutaneous vein detection solution using near-infrared spectroscopy
Simon Jurič, Vojko Flis, Matjaž Debevc, Andreas Holzinger, Borut Žalik
Pregledni znanstveni članek
Oznake: subkutana venska detekcija;diagnostične metode in postopki;infrardeči žarki;spektroskopija;žilne bolezni;mobilne naprave;
Excessive venipunctures are both time- and resource-consuming events, which cause anxiety, pain, and distress in patients, or can lead to severe harmful injuries. We propose a low-cost mobile health solution for subcutaneous vein detection using near-infrared spectroscopy, along with an assessment o ...
Leto: 2014 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
Human-centered ai in smart farming
Andreas Holzinger, Iztok Fister, Iztok Fister, Peter Kaul, Senthold Asseng
Izvirni znanstveni članek
Oznake: umetna inteligenca;dgitalna transformacija;kmetijstvo;human-centered AI;smart framing;agriculture 5.0;digital transformation;artificial intelligence;
This paper delineates the contemporary landscape, challenges, and prospective developments in human-centred artificial intelligence (AI) within the ambit of smart farming, a pivotal element of the emergent Agriculture 5.0, supplanting Agriculture 4.0. Analogous to Industry 4.0, agriculture has witne ...
Leto: 2024 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
LLM in the loop: a framework for contextualizing counterfactual segment perturbations in point clouds
Veljka Kocic, Niko Lukač, Dzemail Rozajac, Stefan Schweng, Christoph Gollob, Arne Nothdurft, Karl Stampfer, Javier Del Ser, Andreas Holzinger
Izvirni znanstveni članek
Oznake: umetna inteligenca;podatki v oblaku;veliki jezikovni modeli;explainable AI;point cloud data;counterfactual reasoning;LiDAR;3D point cloud data;interpretability;human-centered AI;large language models;K-nearest neighbors;
Point Cloud Data analysis has seen a major leap forward with the introduction of PointNet algorithms, revolutionizing how we process 3D environments. Yet, despite these advancements, key challenges remain, particularly in optimizing segment perturbations to influence model outcomes in a controlled a ...
Leto: 2025 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
Enhancing trust in automated 3D point cloud data interpretation through explainable counterfactuals
Andreas Holzinger, Niko Lukač, Dzemail Rozajac, Emil Johnston, Veljka Kocic, Bernhard Hoerl, Christoph Gollob, Arne Nothdurft, Karl Stampfer, Stefan Schweng, Javier Del Ser
Izvirni znanstveni članek
Oznake: explainable AI;point cloud data;counterfactual reasoning;information fusion;interpretability;human-centered AI;
This paper introduces a novel framework for augmenting explainability in the interpretation of point cloud data by fusing expert knowledge with counterfactual reasoning. Given the complexity and voluminous nature of point cloud datasets, derived predominantly from LiDAR and 3D scanning technologies, ...
Leto: 2025 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
Št. zadetkov: 6
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