المؤلفون: Gerevini A. E., Lipovetzky N., Percassi F., Saetti A., Serina I.

المساهمون: Gerevini A. E., Lipovetzky N., Percassi F., Saetti A., Serina I.

مصطلحات موضوعية: Distributed planning, Multi-agent planning, Planning, Privacy-preserving planning

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:000954848500001; volume:318; firstpage:103883; journal:ARTIFICIAL INTELLIGENCE; https://hdl.handle.net/11379/574146

الاتاحة: https://hdl.handle.net/11379/574146
https://doi.org/10.1016/j.artint.2023.103883

المؤلفون: Su, Z, Polyvyanyy, A, Lipovetzky, N, Sardina, S, van Beest, N

Relation: Su, Z., Polyvyanyy, A., Lipovetzky, N., Sardina, S. & van Beest, N. (2023). Fast and accurate data-driven goal recognition using process mining techniques. ARTIFICIAL INTELLIGENCE, 323, https://doi.org/10.1016/j.artint.2023.103973.; http://hdl.handle.net/11343/337220

الاتاحة: http://hdl.handle.net/11343/337220

المؤلفون: Gerevini, AE, Lipovetzky, N, Percassi, F, Saetti, A, Serina, I

Relation: Gerevini, A. E., Lipovetzky, N., Percassi, F., Saetti, A. & Serina, I. (2023). Width-based search for multi agent privacy-preserving planning. Artificial Intelligence, 318, https://doi.org/10.1016/j.artint.2023.103883.; http://hdl.handle.net/11343/337256

الاتاحة: http://hdl.handle.net/11343/337256

المؤلفون: Lei, C, Lipovetzky, N, Ehinger, KA

مصطلحات الفهرس: Journal Article

URL: http://hdl.handle.net/11343/348726

المؤلفون: Neller, TW, Bideau, P, Bierbach, D, Hönig, W, Lipovetzky, N, Muise, C, Coria, L, Wong, C, Rosenthal, S, Lu, Y, Gao, M, Zhang, J

مصطلحات الفهرس: Journal Article

URL: http://hdl.handle.net/11343/348725

المؤلفون: Su, Z, Polyvyanyy, A, Lipovetzky, N, Sardina, S, van Beest, N

مصطلحات الفهرس: Journal Article

URL: http://hdl.handle.net/11343/348068

المؤلفون: Pei, Z, Rojas-Arevalo, AM, de Haan, FJ, Lipovetzky, N, Moallemi, EA

مصطلحات الفهرس: Journal Article

URL: http://hdl.handle.net/11343/348951

المؤلفون: Dac, HH, Gonzalez Viejo, C, Lipovetzky, N, Tongson, E, Dunshea, FR, Fuentes, S

Relation: pii: s22218256; Dac, H. H., Gonzalez Viejo, C., Lipovetzky, N., Tongson, E., Dunshea, F. R. & Fuentes, S. (2022). Livestock Identification Using Deep Learning for Traceability. SENSORS, 22 (21), https://doi.org/10.3390/s22218256.; http://hdl.handle.net/11343/326549

الاتاحة: http://hdl.handle.net/11343/326549

المؤلفون: Fuentes, S, Gonzalez Viejo, C, Tongson, E, Dunshea, FR, Dac, HH, Lipovetzky, N

وصف الملف: text

Relation: https://eprints.whiterose.ac.uk/194092/1/1-s2.0-S2666154322001211-main.pdf; Fuentes, S, Gonzalez Viejo, C, Tongson, E et al. (3 more authors) (2022) Animal biometric assessment using non-invasive computer vision and machine learning are good predictors of dairy cows age and welfare: The future of automated veterinary support systems. Journal of Agriculture and Food Research, 10. 100388. ISSN 2666-1543

الاتاحة: https://eprints.whiterose.ac.uk/194092/
https://eprints.whiterose.ac.uk/194092/1/1-s2.0-S2666154322001211-main.pdf

المؤلفون: Fitzpatrick, G, Lipovetzky, N, Papasimeon, M, Ramirez, M, Vered, M

Relation: pii: 717003; Fitzpatrick, G., Lipovetzky, N., Papasimeon, M., Ramirez, M. & Vered, M. (2021). Behaviour Recognition with Kinodynamic Planning Over Continuous Domains. FRONTIERS IN ARTIFICIAL INTELLIGENCE, 4, https://doi.org/10.3389/frai.2021.717003.; http://hdl.handle.net/11343/296652

الاتاحة: http://hdl.handle.net/11343/296652

المؤلفون: Fuentes, S, Gonzalez Viejo, C, Tongson, E, Lipovetzky, N, Dunshea, FR

Relation: pii: s21206844; Fuentes, S., Gonzalez Viejo, C., Tongson, E., Lipovetzky, N. & Dunshea, F. R. (2021). Biometric Physiological Responses from Dairy Cows Measured by Visible Remote Sensing Are Good Predictors of Milk Productivity and Quality through Artificial Intelligence. SENSORS, 21 (20), https://doi.org/10.3390/s21206844.; http://hdl.handle.net/11343/296745

الاتاحة: http://hdl.handle.net/11343/296745

المؤلفون: Fuentes, S., Summerson, V., Gonzalez Viejo, C., Tongson, E., Lipovetzky, N., Wilkinson, K.L., Szeto, C., Unnithan, R.R.

المصدر: http://dx.doi.org/10.3390/s20185108.

مصطلحات موضوعية: climate change, electronic nose, machine learning, smoke taint, wine sensory

وصف الملف: application/pdf

Relation: http://purl.org/au-research/grants/arc/LP160101475; Sensors, 2020; 20(18):1-22; http://hdl.handle.net/2440/128498; Wilkinson, K.L. [0000-0001-6724-9837]; Szeto, C. [0000-0002-3560-9399]

الاتاحة: http://hdl.handle.net/2440/128498
https://doi.org/10.3390/s20185108

المؤلفون: Su, Z, Yu, T, Lipovetzky, N, Mohammadi, A, Oetomo, D, Polyvyanyy, A, Sardina, S, Tan, Y, Van Beest, N

المصدر: 2023 5th International Conference on Process Mining

مصطلحات الفهرس: Conference Paper

URL: http://hdl.handle.net/11343/348074

المؤلفون: Balbo, A. L., Rubio-Campillo, X., Rondelli, B., Ramírez, M., Lancelotti, C., Torrano, A., Salpeteur, M., Lipovetzky, N., Reyes-García, V., Mentañola, C., Madella, M.

المصدر: Journal of Archaeological Method and Theory, 2014 Jun 01. 21(2), 426-446.

URL الوصول: https://www.jstor.org/stable/43655014

المؤلفون: De Giacomo, G, Guzzo, A, Montali, M, Limonad, L, Fournier, F, Chakraborti, T, Su, Z, Polyvyanyy, A, Lipovetzky, N, Sardina, S, van Beest, N

المصدر: PMAI 2022: First Workshop on Process Management in the AI era

مصطلحات الفهرس: Conference Paper

URL: http://hdl.handle.net/11343/325219

المؤلفون: Gerevini, A., Lipovetzky, N., Percassi, F., Saetti, A., Serina, I.

URL الوصول: https://explore.openaire.eu/search/publication?articleId=od______3662::c9c2a3b104d4dbd2b3746c3f6cba7ae3
http://hdl.handle.net/11379/562098

المؤلفون: O'Toole, S, Lipovetzky, N, Ramirez, M, Pearce, A

المساهمون: Ranzato, M, Beygelzimer, A, Nguyen, K, Liang, P, Vaughan, JW, Dauphin, Y

المصدر: 35th Conference on Neural Information Processing Systems

Relation: O'Toole, S., Lipovetzky, N., Ramirez, M. & Pearce, A. (2021). Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark. Ranzato, M (Ed.) Beygelzimer, A (Ed.) Nguyen, K (Ed.) Liang, P (Ed.) Vaughan, JW (Ed.) Dauphin, Y (Ed.) Advances in Neural Information Processing Systems 34 pre-proceedings (NeurIPS 2021), 32, NeurIPS.; http://hdl.handle.net/11343/298059

الاتاحة: http://hdl.handle.net/11343/298059

المؤلفون: Polyvyanyy, A, Su, Z, Lipovetzky, N, Sardina, S

المصدر: 19th International Conference on Autonomous Agents and MultiAgent Systems

Relation: Polyvyanyy, A., Su, Z., Lipovetzky, N. & Sardina, S. (2020). Goal Recognition Using Off-The-Shelf Process Mining Techniques. AAMAS '20: Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems, 2020-May, pp.1072-1080. ACM.; http://hdl.handle.net/11343/241597

الاتاحة: http://hdl.handle.net/11343/241597

المؤلفون: O’Toole, S, Ramirez, M, Lipovetzky, N, Pearce, A

المصدر: 29th International Conference on Automated Planning and Scheduling

Relation: O’Toole, S., Ramirez, M., Lipovetzky, N. & Pearce, A. (2019). Width-Based Lookaheads Augmented with Base Policies for Stochastic Shortest Paths. Proceedings of the 29th International Conference on Automated Planning and Scheduling, pp.37-39. ICAPS.; http://hdl.handle.net/11343/297372

الاتاحة: http://hdl.handle.net/11343/297372

المؤلفون: Fuentes, S, Summerson, V, Viejo, CG, Tongson, E, Lipovetzky, N, Wilkinson, KL, Szeto, C, Unnithan, RR

مصطلحات الفهرس: Journal Article

URL: http://hdl.handle.net/11343/251555