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Andrew Katumba
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2020 – today
- 2024
- [j5]Sarah Nawoya, Frank Ssemakula, Roseline Akol, Quentin Geissmann, Henrik Karstoft, Kim Bjerge, Cosmas Mwikirize, Andrew Katumba, Grum Gebreyesus:
Computer vision and deep learning in insects for food and feed production: A review. Comput. Electron. Agric. 216: 108503 (2024) - [i8]Sulaiman Kagumire, Andrew Katumba, Joyce Nakatumba-Nabende, John A. Quinn:
Building a Luganda Text-to-Speech Model From Crowdsourced Data. CoRR abs/2405.10211 (2024) - [i7]Andrew Katumba, Sudi Murindanyi, John Trevor Kasule, Elvis Mugume:
Luganda Speech Intent Recognition for IoT Applications. CoRR abs/2405.19343 (2024) - [i6]Sudi Murindanyi, Joyce Nakatumba-Nabende, Rahman Sanya, Rose Nakibuule, Andrew Katumba:
Enhanced Infield Agriculture with Interpretable Machine Learning Approaches for Crop Classification. CoRR abs/2408.12426 (2024) - 2023
- [c13]Sudi Murindanyi, Brian Afedra Yiiki, Andrew Katumba, Joyce Nakatumba-Nabende:
Explainable Machine Learning Models for Swahili News Classification. NLPIR 2023: 12-18 - 2022
- [c12]Jonathan Mukiibi, Andrew Katumba, Joyce Nakatumba-Nabende, Ali Hussein, Joshua Meyer:
The Makerere Radio Speech Corpus: A Luganda Radio Corpus for Automatic Speech Recognition. LREC 2022: 1945-1954 - [i5]Jonathan Mukiibi, Andrew Katumba, Joyce Nakatumba-Nabende, Ali Hussein, Josh Meyer:
The Makerere Radio Speech Corpus: A Luganda Radio Corpus for Automatic Speech Recognition. CoRR abs/2206.09790 (2022) - 2021
- [j4]Cosmas Mwikirize, Alvin B. Kimbowa, Sylvia Imanirakiza, Andrew Katumba, John L. Nosher, Ilker Hacihaliloglu:
Time-aware deep neural networks for needle tip localization in 2D ultrasound. Int. J. Comput. Assist. Radiol. Surg. 16(5): 819-827 (2021) - [p1]Joni Dambre, Andrew Katumba, Chonghuai Ma, Stijn Sackesyn, Floris Laporte, Matthias Freiberger, Peter Bienstman:
Computing with Integrated Photonic Reservoirs. Reservoir Computing 2021: 397-419 - [i4]Ben Wycliff Mugalu, Rodrick Calvin Wamala, Jonathan Serugunda, Andrew Katumba:
Face Recognition as a Method of Authentication in a Web-Based System. CoRR abs/2103.15144 (2021) - [i3]Dativa K. Tizikara, Jonathan Serugunda, Andrew Katumba:
An Overview of Machine Learning-aided Optical Performance Monitoring Techniques. CoRR abs/2107.07338 (2021) - 2020
- [c11]Zhi Wang, Qiang Li, Ziling Fu, Andrew Katumba, Florian Denis-Le Coarer, Damien Rontani, Marc Sciamanna, Peter Bienstman:
Threshold Plasticity of Hybrid Sİ-VO2 Microring Resonators. OFC 2020: 1-3 - [i2]Andrew Katumba, Moses Bomera, Cosmas Mwikirize, Gorret Namulondo, Mary Gorret Ajero, Idd Ramathani, Olivia Nakayima, Grace Nakabonge, Dorothy Okello, Jonathan Serugunda:
A Deep Learning-based Detector for Brown Spot Disease in Passion Fruit Plant Leaves. CoRR abs/2007.14103 (2020)
2010 – 2019
- 2019
- [j3]Matthias Freiberger, Andrew Katumba, Peter Bienstman, Joni Dambre:
Training Passive Photonic Reservoirs With Integrated Optical Readout. IEEE Trans. Neural Networks Learn. Syst. 30(7): 1943-1953 (2019) - [c10]Stijn Sackesyn, Chonghuai Ma, Andrew Katumba, Joni Dambre, Peter Bienstman:
A Power-Efficient Architecture for On-Chip Reservoir Computing. ICANN (Workshop) 2019: 161-164 - 2018
- [c9]Andrew Katumba, Xin Yin, Joni Dambre, Peter Bienstman:
Silicon Photonics Neuromorphic Computing and its Application to Telecommunications (Invited). ECOC 2018: 1-3 - [c8]Peter Bienstman, Joni Dambre, Andrew Katumba, Matthias Freiberger, Floris Laporte, Alessio Lugnan:
Photonic Resevoir Computing: A Brain-inspired Approach for Information Processing. OFC 2018: 1-3 - [i1]Matthias Freiberger, Andrew Katumba, Peter Bienstman, Joni Dambre:
Training Passive Photonic Reservoirs with Integrated Optical Readout. CoRR abs/1810.03377 (2018) - 2017
- [j2]Andrew Katumba, Matthias Freiberger, Peter Bienstman, Joni Dambre:
A Multiple-Input Strategy to Efficient Integrated Photonic Reservoir Computing. Cogn. Comput. 9(3): 307-314 (2017) - [c7]Matthias Freiberger, Andrew Katumba, Peter Bienstman, Joni Dambre:
On-Chip Passive Photonic Reservoir Computing with Integrated Optical Readout. ICRC 2017: 1-4 - [c6]Abdul Rahim, Amin Abbasi, Nuno Sequeira Andre, Andrew Katumba, Hadrien Louchet, Kasper Van Gasse, Roel Baets, Geert Morthier, Gunther Roelkens:
69 Gb/s DMT direct modulation of a heterogeneously integrated InP-on-Si DFB laser. OFC 2017: 1-3 - 2016
- [c5]Andrew Katumba, Bendix Schneider, Joni Dambre, Peter Bienstman:
An integrated Photonics Reservoir Computing approach to signal equalization for telecommunications. ICTON 2016: 1 - [c4]Amin Abbasi, Christos Spatharakis, Giannis Kanakis, Nuno Sequeira Andre, Hadrien Louchet, Andrew Katumba, Jochem Verbist, Xin Yin, Johan Bauwelinck, Hercules Avramopoulos, Gunther Roelkens, Geert Morthier:
PAM-4 and Duobinary direct modulation of a hybrid InP/SOI DFB laser for 40 Gb/s transmission over 2 km single mode fiber. OFC 2016: 1-3 - 2015
- [c3]Andrew Katumba, Peter Bienstman, Joni Dambre:
Photonic reservoir computing approaches to nanoscale computation. NANOCOM 2015: 23:1-23:2 - 2011
- [c2]Michael Kyesswa, Amru Mbajja, Arthur Tumusiime Asiimwe, Cosmas Mwikirize, Paul Isaac Musasizi, Sandy Stevens Tickodri-Togboa, Andrew Katumba, Julius Butime:
An Online Digital Filters and Sound Effects Laboratory Utilizing NI SPEEDY 33 and LabVIEW DSP Module. ITNG 2011: 620-625 - 2010
- [j1]Cosmas Mwikirize, Arthur Tumusiime Asiimwe, Paul Isaac Musasizi, Sandy Stevens Tickodri-Togboa, Andrew Katumba, Julius Butime:
New Dimensions in Teaching Digital Electronics: A Multimode Laboratory Utilizing NI ELVIS IITM, LabVIEW and NI Multisim. Int. J. Online Eng. 6(4): 49-54 (2010) - [c1]Cosmas Mwikirize, Arthur Tumusiime Asiimwe, Lea Musasizi, Victoria Namuswa, Mary Dawn Nakasozi, Charles Mugga, Andrew Katumba, Sandy Stevens Tickodri-Togboa, Julius Butime, Paul Isaac Musasizi:
Development of Online Laboratories for Modulation and Combinational Logic Circuit Analysis Using NI ELVIS II. ITNG 2010: 1069-1073
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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